diff --git a/.changes/2.584.0.json b/.changes/2.584.0.json
new file mode 100644
index 0000000000..c3ddbcfc7a
--- /dev/null
+++ b/.changes/2.584.0.json
@@ -0,0 +1,42 @@
+[
+ {
+ "type": "bugfix",
+ "category": "S3",
+ "description": "fix issues when SDK populates wrong path if access point arn contains forward slash"
+ },
+ {
+ "type": "feature",
+ "category": "ApplicationAutoScaling",
+ "description": "This release supports auto scaling of provisioned concurrency for AWS Lambda."
+ },
+ {
+ "type": "feature",
+ "category": "EBS",
+ "description": "This release introduces the EBS direct APIs for Snapshots: 1. ListSnapshotBlocks, which lists the block indexes and block tokens for blocks in an Amazon EBS snapshot. 2. ListChangedBlocks, which lists the block indexes and block tokens for blocks that are different between two snapshots of the same volume/snapshot lineage. 3. GetSnapshotBlock, which returns the data in a block of an Amazon EBS snapshot."
+ },
+ {
+ "type": "feature",
+ "category": "Lambda",
+ "description": "- Added the ProvisionedConcurrency type and operations. Allocate provisioned concurrency to enable your function to scale up without fluctuations in latency. Use PutProvisionedConcurrencyConfig to configure provisioned concurrency on a version of a function, or on an alias."
+ },
+ {
+ "type": "feature",
+ "category": "RDS",
+ "description": "This release adds support for the Amazon RDS Proxy"
+ },
+ {
+ "type": "feature",
+ "category": "Rekognition",
+ "description": "This SDK Release introduces APIs for Amazon Rekognition Custom Labels feature (CreateProjects, CreateProjectVersion,DescribeProjects, DescribeProjectVersions, StartProjectVersion, StopProjectVersion and DetectCustomLabels). Also new is AugmentedAI (Human In The Loop) Support for DetectModerationLabels in Amazon Rekognition."
+ },
+ {
+ "type": "feature",
+ "category": "SageMaker",
+ "description": "You can now use SageMaker Autopilot for automatically training and tuning candidate models using a combination of various feature engineering, ML algorithms, and hyperparameters determined from the user's input data. SageMaker Automatic Model Tuning now supports tuning across multiple algorithms. With Amazon SageMaker Experiments users can create Experiments, ExperimentTrials, and ExperimentTrialComponents to track, organize, and evaluate their ML training jobs. With Amazon SageMaker Debugger, users can easily debug training jobs using a number of pre-built rules provided by Amazon SageMaker, or build custom rules. With Amazon SageMaker Processing, users can run on-demand, distributed, and fully managed jobs for data pre- or post- processing or model evaluation. With Amazon SageMaker Model Monitor, a user can create MonitoringSchedules to automatically monitor endpoints to detect data drift and other issues and get alerted on them. This release also includes the preview version of Amazon SageMaker Studio with Domains, UserProfiles, and Apps. This release also includes the preview version of Amazon Augmented AI to easily implement human review of machine learning predictions by creating FlowDefinitions, HumanTaskUis, and HumanLoops."
+ },
+ {
+ "type": "feature",
+ "category": "StepFunctions",
+ "description": "This release of the AWS Step Functions SDK introduces support for Express Workflows."
+ }
+]
\ No newline at end of file
diff --git a/.changes/next-release/bugfix-S3-cb2d4f76.json b/.changes/next-release/bugfix-S3-cb2d4f76.json
deleted file mode 100644
index e517bef3f0..0000000000
--- a/.changes/next-release/bugfix-S3-cb2d4f76.json
+++ /dev/null
@@ -1,5 +0,0 @@
-{
- "type": "bugfix",
- "category": "S3",
- "description": "fix issues when SDK populates wrong path if access point arn contains forward slash"
-}
\ No newline at end of file
diff --git a/CHANGELOG.md b/CHANGELOG.md
index ffa3e048c5..fc00feb8c9 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -1,7 +1,17 @@
# Changelog for AWS SDK for JavaScript
-
+
+## 2.584.0
+* bugfix: S3: fix issues when SDK populates wrong path if access point arn contains forward slash
+* feature: ApplicationAutoScaling: This release supports auto scaling of provisioned concurrency for AWS Lambda.
+* feature: EBS: This release introduces the EBS direct APIs for Snapshots: 1. ListSnapshotBlocks, which lists the block indexes and block tokens for blocks in an Amazon EBS snapshot. 2. ListChangedBlocks, which lists the block indexes and block tokens for blocks that are different between two snapshots of the same volume/snapshot lineage. 3. GetSnapshotBlock, which returns the data in a block of an Amazon EBS snapshot.
+* feature: Lambda: - Added the ProvisionedConcurrency type and operations. Allocate provisioned concurrency to enable your function to scale up without fluctuations in latency. Use PutProvisionedConcurrencyConfig to configure provisioned concurrency on a version of a function, or on an alias.
+* feature: RDS: This release adds support for the Amazon RDS Proxy
+* feature: Rekognition: This SDK Release introduces APIs for Amazon Rekognition Custom Labels feature (CreateProjects, CreateProjectVersion,DescribeProjects, DescribeProjectVersions, StartProjectVersion, StopProjectVersion and DetectCustomLabels). Also new is AugmentedAI (Human In The Loop) Support for DetectModerationLabels in Amazon Rekognition.
+* feature: SageMaker: You can now use SageMaker Autopilot for automatically training and tuning candidate models using a combination of various feature engineering, ML algorithms, and hyperparameters determined from the user's input data. SageMaker Automatic Model Tuning now supports tuning across multiple algorithms. With Amazon SageMaker Experiments users can create Experiments, ExperimentTrials, and ExperimentTrialComponents to track, organize, and evaluate their ML training jobs. With Amazon SageMaker Debugger, users can easily debug training jobs using a number of pre-built rules provided by Amazon SageMaker, or build custom rules. With Amazon SageMaker Processing, users can run on-demand, distributed, and fully managed jobs for data pre- or post- processing or model evaluation. With Amazon SageMaker Model Monitor, a user can create MonitoringSchedules to automatically monitor endpoints to detect data drift and other issues and get alerted on them. This release also includes the preview version of Amazon SageMaker Studio with Domains, UserProfiles, and Apps. This release also includes the preview version of Amazon Augmented AI to easily implement human review of machine learning predictions by creating FlowDefinitions, HumanTaskUis, and HumanLoops.
+* feature: StepFunctions: This release of the AWS Step Functions SDK introduces support for Express Workflows.
+
## 2.583.0
* feature: AugmentedAIRuntime: This release adds support for Amazon Augmented AI, which makes it easy to build workflows for human review of machine learning predictions.
* feature: Bucket: Add support for S3 access point. Access Points provide a customizable way to access the objects in a bucket, with a unique hostname and access policy that enforces the specific permissions and network controls for any request made through the access point.
diff --git a/README.md b/README.md
index c2a1e06958..c24a43f2c7 100644
--- a/README.md
+++ b/README.md
@@ -25,7 +25,7 @@ version.
To use the SDK in the browser, simply add the following script tag to your
HTML pages:
-
+
You can also build a custom browser SDK with your specified set of AWS services.
This can allow you to reduce the SDK's size, specify different API versions of
diff --git a/apis/application-autoscaling-2016-02-06.normal.json b/apis/application-autoscaling-2016-02-06.normal.json
index b8fe233827..f0b4dc2198 100644
--- a/apis/application-autoscaling-2016-02-06.normal.json
+++ b/apis/application-autoscaling-2016-02-06.normal.json
@@ -392,11 +392,11 @@
},
"ResourceId": {
"shape": "ResourceIdMaxLen1600",
- "documentation": "
The identifier of the resource associated with the scalable target. This string consists of the resource type and unique identifier.
-
ECS service - The resource type is service
and the unique identifier is the cluster name and service name. Example: service/default/sample-webapp
.
-
Spot Fleet request - The resource type is spot-fleet-request
and the unique identifier is the Spot Fleet request ID. Example: spot-fleet-request/sfr-73fbd2ce-aa30-494c-8788-1cee4EXAMPLE
.
-
EMR cluster - The resource type is instancegroup
and the unique identifier is the cluster ID and instance group ID. Example: instancegroup/j-2EEZNYKUA1NTV/ig-1791Y4E1L8YI0
.
-
AppStream 2.0 fleet - The resource type is fleet
and the unique identifier is the fleet name. Example: fleet/sample-fleet
.
-
DynamoDB table - The resource type is table
and the unique identifier is the table name. Example: table/my-table
.
-
DynamoDB global secondary index - The resource type is index
and the unique identifier is the index name. Example: table/my-table/index/my-table-index
.
-
Aurora DB cluster - The resource type is cluster
and the unique identifier is the cluster name. Example: cluster:my-db-cluster
.
-
Amazon SageMaker endpoint variant - The resource type is variant
and the unique identifier is the resource ID. Example: endpoint/my-end-point/variant/KMeansClustering
.
-
Custom resources are not supported with a resource type. This parameter must specify the OutputValue
from the CloudFormation template stack used to access the resources. The unique identifier is defined by the service provider. More information is available in our GitHub repository.
-
Amazon Comprehend document classification endpoint - The resource type and unique identifier are specified using the endpoint ARN. Example: arn:aws:comprehend:us-west-2:123456789012:document-classifier-endpoint/EXAMPLE
.
"
+ "documentation": "The identifier of the resource associated with the scalable target. This string consists of the resource type and unique identifier.
-
ECS service - The resource type is service
and the unique identifier is the cluster name and service name. Example: service/default/sample-webapp
.
-
Spot Fleet request - The resource type is spot-fleet-request
and the unique identifier is the Spot Fleet request ID. Example: spot-fleet-request/sfr-73fbd2ce-aa30-494c-8788-1cee4EXAMPLE
.
-
EMR cluster - The resource type is instancegroup
and the unique identifier is the cluster ID and instance group ID. Example: instancegroup/j-2EEZNYKUA1NTV/ig-1791Y4E1L8YI0
.
-
AppStream 2.0 fleet - The resource type is fleet
and the unique identifier is the fleet name. Example: fleet/sample-fleet
.
-
DynamoDB table - The resource type is table
and the unique identifier is the table name. Example: table/my-table
.
-
DynamoDB global secondary index - The resource type is index
and the unique identifier is the index name. Example: table/my-table/index/my-table-index
.
-
Aurora DB cluster - The resource type is cluster
and the unique identifier is the cluster name. Example: cluster:my-db-cluster
.
-
Amazon SageMaker endpoint variant - The resource type is variant
and the unique identifier is the resource ID. Example: endpoint/my-end-point/variant/KMeansClustering
.
-
Custom resources are not supported with a resource type. This parameter must specify the OutputValue
from the CloudFormation template stack used to access the resources. The unique identifier is defined by the service provider. More information is available in our GitHub repository.
-
Amazon Comprehend document classification endpoint - The resource type and unique identifier are specified using the endpoint ARN. Example: arn:aws:comprehend:us-west-2:123456789012:document-classifier-endpoint/EXAMPLE
.
-
Lambda provisioned concurrency - The resource type is function
and the unique identifier is the function name with a function version or alias name suffix that is not $LATEST
. Example: function:my-function:prod
or function:my-function:1
.
"
},
"ScalableDimension": {
"shape": "ScalableDimension",
- "documentation": "The scalable dimension. This string consists of the service namespace, resource type, and scaling property.
-
ecs:service:DesiredCount
- The desired task count of an ECS service.
-
ec2:spot-fleet-request:TargetCapacity
- The target capacity of a Spot Fleet request.
-
elasticmapreduce:instancegroup:InstanceCount
- The instance count of an EMR Instance Group.
-
appstream:fleet:DesiredCapacity
- The desired capacity of an AppStream 2.0 fleet.
-
dynamodb:table:ReadCapacityUnits
- The provisioned read capacity for a DynamoDB table.
-
dynamodb:table:WriteCapacityUnits
- The provisioned write capacity for a DynamoDB table.
-
dynamodb:index:ReadCapacityUnits
- The provisioned read capacity for a DynamoDB global secondary index.
-
dynamodb:index:WriteCapacityUnits
- The provisioned write capacity for a DynamoDB global secondary index.
-
rds:cluster:ReadReplicaCount
- The count of Aurora Replicas in an Aurora DB cluster. Available for Aurora MySQL-compatible edition and Aurora PostgreSQL-compatible edition.
-
sagemaker:variant:DesiredInstanceCount
- The number of EC2 instances for an Amazon SageMaker model endpoint variant.
-
custom-resource:ResourceType:Property
- The scalable dimension for a custom resource provided by your own application or service.
-
comprehend:document-classifier-endpoint:DesiredInferenceUnits
- The number of inference units for an Amazon Comprehend document classification endpoint.
"
+ "documentation": "The scalable dimension. This string consists of the service namespace, resource type, and scaling property.
-
ecs:service:DesiredCount
- The desired task count of an ECS service.
-
ec2:spot-fleet-request:TargetCapacity
- The target capacity of a Spot Fleet request.
-
elasticmapreduce:instancegroup:InstanceCount
- The instance count of an EMR Instance Group.
-
appstream:fleet:DesiredCapacity
- The desired capacity of an AppStream 2.0 fleet.
-
dynamodb:table:ReadCapacityUnits
- The provisioned read capacity for a DynamoDB table.
-
dynamodb:table:WriteCapacityUnits
- The provisioned write capacity for a DynamoDB table.
-
dynamodb:index:ReadCapacityUnits
- The provisioned read capacity for a DynamoDB global secondary index.
-
dynamodb:index:WriteCapacityUnits
- The provisioned write capacity for a DynamoDB global secondary index.
-
rds:cluster:ReadReplicaCount
- The count of Aurora Replicas in an Aurora DB cluster. Available for Aurora MySQL-compatible edition and Aurora PostgreSQL-compatible edition.
-
sagemaker:variant:DesiredInstanceCount
- The number of EC2 instances for an Amazon SageMaker model endpoint variant.
-
custom-resource:ResourceType:Property
- The scalable dimension for a custom resource provided by your own application or service.
-
comprehend:document-classifier-endpoint:DesiredInferenceUnits
- The number of inference units for an Amazon Comprehend document classification endpoint.
-
lambda:function:ProvisionedConcurrency
- The provisioned concurrency for a Lambda function.
"
}
}
},
@@ -423,11 +423,11 @@
},
"ResourceId": {
"shape": "ResourceIdMaxLen1600",
- "documentation": "The identifier of the resource associated with the scheduled action. This string consists of the resource type and unique identifier.
-
ECS service - The resource type is service
and the unique identifier is the cluster name and service name. Example: service/default/sample-webapp
.
-
Spot Fleet request - The resource type is spot-fleet-request
and the unique identifier is the Spot Fleet request ID. Example: spot-fleet-request/sfr-73fbd2ce-aa30-494c-8788-1cee4EXAMPLE
.
-
EMR cluster - The resource type is instancegroup
and the unique identifier is the cluster ID and instance group ID. Example: instancegroup/j-2EEZNYKUA1NTV/ig-1791Y4E1L8YI0
.
-
AppStream 2.0 fleet - The resource type is fleet
and the unique identifier is the fleet name. Example: fleet/sample-fleet
.
-
DynamoDB table - The resource type is table
and the unique identifier is the table name. Example: table/my-table
.
-
DynamoDB global secondary index - The resource type is index
and the unique identifier is the index name. Example: table/my-table/index/my-table-index
.
-
Aurora DB cluster - The resource type is cluster
and the unique identifier is the cluster name. Example: cluster:my-db-cluster
.
-
Amazon SageMaker endpoint variant - The resource type is variant
and the unique identifier is the resource ID. Example: endpoint/my-end-point/variant/KMeansClustering
.
-
Custom resources are not supported with a resource type. This parameter must specify the OutputValue
from the CloudFormation template stack used to access the resources. The unique identifier is defined by the service provider. More information is available in our GitHub repository.
-
Amazon Comprehend document classification endpoint - The resource type and unique identifier are specified using the endpoint ARN. Example: arn:aws:comprehend:us-west-2:123456789012:document-classifier-endpoint/EXAMPLE
.
"
+ "documentation": "The identifier of the resource associated with the scheduled action. This string consists of the resource type and unique identifier.
-
ECS service - The resource type is service
and the unique identifier is the cluster name and service name. Example: service/default/sample-webapp
.
-
Spot Fleet request - The resource type is spot-fleet-request
and the unique identifier is the Spot Fleet request ID. Example: spot-fleet-request/sfr-73fbd2ce-aa30-494c-8788-1cee4EXAMPLE
.
-
EMR cluster - The resource type is instancegroup
and the unique identifier is the cluster ID and instance group ID. Example: instancegroup/j-2EEZNYKUA1NTV/ig-1791Y4E1L8YI0
.
-
AppStream 2.0 fleet - The resource type is fleet
and the unique identifier is the fleet name. Example: fleet/sample-fleet
.
-
DynamoDB table - The resource type is table
and the unique identifier is the table name. Example: table/my-table
.
-
DynamoDB global secondary index - The resource type is index
and the unique identifier is the index name. Example: table/my-table/index/my-table-index
.
-
Aurora DB cluster - The resource type is cluster
and the unique identifier is the cluster name. Example: cluster:my-db-cluster
.
-
Amazon SageMaker endpoint variant - The resource type is variant
and the unique identifier is the resource ID. Example: endpoint/my-end-point/variant/KMeansClustering
.
-
Custom resources are not supported with a resource type. This parameter must specify the OutputValue
from the CloudFormation template stack used to access the resources. The unique identifier is defined by the service provider. More information is available in our GitHub repository.
-
Amazon Comprehend document classification endpoint - The resource type and unique identifier are specified using the endpoint ARN. Example: arn:aws:comprehend:us-west-2:123456789012:document-classifier-endpoint/EXAMPLE
.
-
Lambda provisioned concurrency - The resource type is function
and the unique identifier is the function name with a function version or alias name suffix that is not $LATEST
. Example: function:my-function:prod
or function:my-function:1
.
"
},
"ScalableDimension": {
"shape": "ScalableDimension",
- "documentation": "The scalable dimension. This string consists of the service namespace, resource type, and scaling property.
-
ecs:service:DesiredCount
- The desired task count of an ECS service.
-
ec2:spot-fleet-request:TargetCapacity
- The target capacity of a Spot Fleet request.
-
elasticmapreduce:instancegroup:InstanceCount
- The instance count of an EMR Instance Group.
-
appstream:fleet:DesiredCapacity
- The desired capacity of an AppStream 2.0 fleet.
-
dynamodb:table:ReadCapacityUnits
- The provisioned read capacity for a DynamoDB table.
-
dynamodb:table:WriteCapacityUnits
- The provisioned write capacity for a DynamoDB table.
-
dynamodb:index:ReadCapacityUnits
- The provisioned read capacity for a DynamoDB global secondary index.
-
dynamodb:index:WriteCapacityUnits
- The provisioned write capacity for a DynamoDB global secondary index.
-
rds:cluster:ReadReplicaCount
- The count of Aurora Replicas in an Aurora DB cluster. Available for Aurora MySQL-compatible edition and Aurora PostgreSQL-compatible edition.
-
sagemaker:variant:DesiredInstanceCount
- The number of EC2 instances for an Amazon SageMaker model endpoint variant.
-
custom-resource:ResourceType:Property
- The scalable dimension for a custom resource provided by your own application or service.
-
comprehend:document-classifier-endpoint:DesiredInferenceUnits
- The number of inference units for an Amazon Comprehend document classification endpoint.
"
+ "documentation": "The scalable dimension. This string consists of the service namespace, resource type, and scaling property.
-
ecs:service:DesiredCount
- The desired task count of an ECS service.
-
ec2:spot-fleet-request:TargetCapacity
- The target capacity of a Spot Fleet request.
-
elasticmapreduce:instancegroup:InstanceCount
- The instance count of an EMR Instance Group.
-
appstream:fleet:DesiredCapacity
- The desired capacity of an AppStream 2.0 fleet.
-
dynamodb:table:ReadCapacityUnits
- The provisioned read capacity for a DynamoDB table.
-
dynamodb:table:WriteCapacityUnits
- The provisioned write capacity for a DynamoDB table.
-
dynamodb:index:ReadCapacityUnits
- The provisioned read capacity for a DynamoDB global secondary index.
-
dynamodb:index:WriteCapacityUnits
- The provisioned write capacity for a DynamoDB global secondary index.
-
rds:cluster:ReadReplicaCount
- The count of Aurora Replicas in an Aurora DB cluster. Available for Aurora MySQL-compatible edition and Aurora PostgreSQL-compatible edition.
-
sagemaker:variant:DesiredInstanceCount
- The number of EC2 instances for an Amazon SageMaker model endpoint variant.
-
custom-resource:ResourceType:Property
- The scalable dimension for a custom resource provided by your own application or service.
-
comprehend:document-classifier-endpoint:DesiredInferenceUnits
- The number of inference units for an Amazon Comprehend document classification endpoint.
-
lambda:function:ProvisionedConcurrency
- The provisioned concurrency for a Lambda function.
"
}
}
},
@@ -449,11 +449,11 @@
},
"ResourceId": {
"shape": "ResourceIdMaxLen1600",
- "documentation": "The identifier of the resource associated with the scalable target. This string consists of the resource type and unique identifier.
-
ECS service - The resource type is service
and the unique identifier is the cluster name and service name. Example: service/default/sample-webapp
.
-
Spot Fleet request - The resource type is spot-fleet-request
and the unique identifier is the Spot Fleet request ID. Example: spot-fleet-request/sfr-73fbd2ce-aa30-494c-8788-1cee4EXAMPLE
.
-
EMR cluster - The resource type is instancegroup
and the unique identifier is the cluster ID and instance group ID. Example: instancegroup/j-2EEZNYKUA1NTV/ig-1791Y4E1L8YI0
.
-
AppStream 2.0 fleet - The resource type is fleet
and the unique identifier is the fleet name. Example: fleet/sample-fleet
.
-
DynamoDB table - The resource type is table
and the unique identifier is the table name. Example: table/my-table
.
-
DynamoDB global secondary index - The resource type is index
and the unique identifier is the index name. Example: table/my-table/index/my-table-index
.
-
Aurora DB cluster - The resource type is cluster
and the unique identifier is the cluster name. Example: cluster:my-db-cluster
.
-
Amazon SageMaker endpoint variant - The resource type is variant
and the unique identifier is the resource ID. Example: endpoint/my-end-point/variant/KMeansClustering
.
-
Custom resources are not supported with a resource type. This parameter must specify the OutputValue
from the CloudFormation template stack used to access the resources. The unique identifier is defined by the service provider. More information is available in our GitHub repository.
-
Amazon Comprehend document classification endpoint - The resource type and unique identifier are specified using the endpoint ARN. Example: arn:aws:comprehend:us-west-2:123456789012:document-classifier-endpoint/EXAMPLE
.
"
+ "documentation": "The identifier of the resource associated with the scalable target. This string consists of the resource type and unique identifier.
-
ECS service - The resource type is service
and the unique identifier is the cluster name and service name. Example: service/default/sample-webapp
.
-
Spot Fleet request - The resource type is spot-fleet-request
and the unique identifier is the Spot Fleet request ID. Example: spot-fleet-request/sfr-73fbd2ce-aa30-494c-8788-1cee4EXAMPLE
.
-
EMR cluster - The resource type is instancegroup
and the unique identifier is the cluster ID and instance group ID. Example: instancegroup/j-2EEZNYKUA1NTV/ig-1791Y4E1L8YI0
.
-
AppStream 2.0 fleet - The resource type is fleet
and the unique identifier is the fleet name. Example: fleet/sample-fleet
.
-
DynamoDB table - The resource type is table
and the unique identifier is the table name. Example: table/my-table
.
-
DynamoDB global secondary index - The resource type is index
and the unique identifier is the index name. Example: table/my-table/index/my-table-index
.
-
Aurora DB cluster - The resource type is cluster
and the unique identifier is the cluster name. Example: cluster:my-db-cluster
.
-
Amazon SageMaker endpoint variant - The resource type is variant
and the unique identifier is the resource ID. Example: endpoint/my-end-point/variant/KMeansClustering
.
-
Custom resources are not supported with a resource type. This parameter must specify the OutputValue
from the CloudFormation template stack used to access the resources. The unique identifier is defined by the service provider. More information is available in our GitHub repository.
-
Amazon Comprehend document classification endpoint - The resource type and unique identifier are specified using the endpoint ARN. Example: arn:aws:comprehend:us-west-2:123456789012:document-classifier-endpoint/EXAMPLE
.
-
Lambda provisioned concurrency - The resource type is function
and the unique identifier is the function name with a function version or alias name suffix that is not $LATEST
. Example: function:my-function:prod
or function:my-function:1
.
"
},
"ScalableDimension": {
"shape": "ScalableDimension",
- "documentation": "The scalable dimension associated with the scalable target. This string consists of the service namespace, resource type, and scaling property.
-
ecs:service:DesiredCount
- The desired task count of an ECS service.
-
ec2:spot-fleet-request:TargetCapacity
- The target capacity of a Spot Fleet request.
-
elasticmapreduce:instancegroup:InstanceCount
- The instance count of an EMR Instance Group.
-
appstream:fleet:DesiredCapacity
- The desired capacity of an AppStream 2.0 fleet.
-
dynamodb:table:ReadCapacityUnits
- The provisioned read capacity for a DynamoDB table.
-
dynamodb:table:WriteCapacityUnits
- The provisioned write capacity for a DynamoDB table.
-
dynamodb:index:ReadCapacityUnits
- The provisioned read capacity for a DynamoDB global secondary index.
-
dynamodb:index:WriteCapacityUnits
- The provisioned write capacity for a DynamoDB global secondary index.
-
rds:cluster:ReadReplicaCount
- The count of Aurora Replicas in an Aurora DB cluster. Available for Aurora MySQL-compatible edition and Aurora PostgreSQL-compatible edition.
-
sagemaker:variant:DesiredInstanceCount
- The number of EC2 instances for an Amazon SageMaker model endpoint variant.
-
custom-resource:ResourceType:Property
- The scalable dimension for a custom resource provided by your own application or service.
-
comprehend:document-classifier-endpoint:DesiredInferenceUnits
- The number of inference units for an Amazon Comprehend document classification endpoint.
"
+ "documentation": "The scalable dimension associated with the scalable target. This string consists of the service namespace, resource type, and scaling property.
-
ecs:service:DesiredCount
- The desired task count of an ECS service.
-
ec2:spot-fleet-request:TargetCapacity
- The target capacity of a Spot Fleet request.
-
elasticmapreduce:instancegroup:InstanceCount
- The instance count of an EMR Instance Group.
-
appstream:fleet:DesiredCapacity
- The desired capacity of an AppStream 2.0 fleet.
-
dynamodb:table:ReadCapacityUnits
- The provisioned read capacity for a DynamoDB table.
-
dynamodb:table:WriteCapacityUnits
- The provisioned write capacity for a DynamoDB table.
-
dynamodb:index:ReadCapacityUnits
- The provisioned read capacity for a DynamoDB global secondary index.
-
dynamodb:index:WriteCapacityUnits
- The provisioned write capacity for a DynamoDB global secondary index.
-
rds:cluster:ReadReplicaCount
- The count of Aurora Replicas in an Aurora DB cluster. Available for Aurora MySQL-compatible edition and Aurora PostgreSQL-compatible edition.
-
sagemaker:variant:DesiredInstanceCount
- The number of EC2 instances for an Amazon SageMaker model endpoint variant.
-
custom-resource:ResourceType:Property
- The scalable dimension for a custom resource provided by your own application or service.
-
comprehend:document-classifier-endpoint:DesiredInferenceUnits
- The number of inference units for an Amazon Comprehend document classification endpoint.
-
lambda:function:ProvisionedConcurrency
- The provisioned concurrency for a Lambda function.
"
}
}
},
@@ -473,11 +473,11 @@
},
"ResourceIds": {
"shape": "ResourceIdsMaxLen1600",
- "documentation": "The identifier of the resource associated with the scalable target. This string consists of the resource type and unique identifier. If you specify a scalable dimension, you must also specify a resource ID.
-
ECS service - The resource type is service
and the unique identifier is the cluster name and service name. Example: service/default/sample-webapp
.
-
Spot Fleet request - The resource type is spot-fleet-request
and the unique identifier is the Spot Fleet request ID. Example: spot-fleet-request/sfr-73fbd2ce-aa30-494c-8788-1cee4EXAMPLE
.
-
EMR cluster - The resource type is instancegroup
and the unique identifier is the cluster ID and instance group ID. Example: instancegroup/j-2EEZNYKUA1NTV/ig-1791Y4E1L8YI0
.
-
AppStream 2.0 fleet - The resource type is fleet
and the unique identifier is the fleet name. Example: fleet/sample-fleet
.
-
DynamoDB table - The resource type is table
and the unique identifier is the table name. Example: table/my-table
.
-
DynamoDB global secondary index - The resource type is index
and the unique identifier is the index name. Example: table/my-table/index/my-table-index
.
-
Aurora DB cluster - The resource type is cluster
and the unique identifier is the cluster name. Example: cluster:my-db-cluster
.
-
Amazon SageMaker endpoint variant - The resource type is variant
and the unique identifier is the resource ID. Example: endpoint/my-end-point/variant/KMeansClustering
.
-
Custom resources are not supported with a resource type. This parameter must specify the OutputValue
from the CloudFormation template stack used to access the resources. The unique identifier is defined by the service provider. More information is available in our GitHub repository.
-
Amazon Comprehend document classification endpoint - The resource type and unique identifier are specified using the endpoint ARN. Example: arn:aws:comprehend:us-west-2:123456789012:document-classifier-endpoint/EXAMPLE
.
"
+ "documentation": "The identifier of the resource associated with the scalable target. This string consists of the resource type and unique identifier. If you specify a scalable dimension, you must also specify a resource ID.
-
ECS service - The resource type is service
and the unique identifier is the cluster name and service name. Example: service/default/sample-webapp
.
-
Spot Fleet request - The resource type is spot-fleet-request
and the unique identifier is the Spot Fleet request ID. Example: spot-fleet-request/sfr-73fbd2ce-aa30-494c-8788-1cee4EXAMPLE
.
-
EMR cluster - The resource type is instancegroup
and the unique identifier is the cluster ID and instance group ID. Example: instancegroup/j-2EEZNYKUA1NTV/ig-1791Y4E1L8YI0
.
-
AppStream 2.0 fleet - The resource type is fleet
and the unique identifier is the fleet name. Example: fleet/sample-fleet
.
-
DynamoDB table - The resource type is table
and the unique identifier is the table name. Example: table/my-table
.
-
DynamoDB global secondary index - The resource type is index
and the unique identifier is the index name. Example: table/my-table/index/my-table-index
.
-
Aurora DB cluster - The resource type is cluster
and the unique identifier is the cluster name. Example: cluster:my-db-cluster
.
-
Amazon SageMaker endpoint variant - The resource type is variant
and the unique identifier is the resource ID. Example: endpoint/my-end-point/variant/KMeansClustering
.
-
Custom resources are not supported with a resource type. This parameter must specify the OutputValue
from the CloudFormation template stack used to access the resources. The unique identifier is defined by the service provider. More information is available in our GitHub repository.
-
Amazon Comprehend document classification endpoint - The resource type and unique identifier are specified using the endpoint ARN. Example: arn:aws:comprehend:us-west-2:123456789012:document-classifier-endpoint/EXAMPLE
.
-
Lambda provisioned concurrency - The resource type is function
and the unique identifier is the function name with a function version or alias name suffix that is not $LATEST
. Example: function:my-function:prod
or function:my-function:1
.
"
},
"ScalableDimension": {
"shape": "ScalableDimension",
- "documentation": "The scalable dimension associated with the scalable target. This string consists of the service namespace, resource type, and scaling property. If you specify a scalable dimension, you must also specify a resource ID.
-
ecs:service:DesiredCount
- The desired task count of an ECS service.
-
ec2:spot-fleet-request:TargetCapacity
- The target capacity of a Spot Fleet request.
-
elasticmapreduce:instancegroup:InstanceCount
- The instance count of an EMR Instance Group.
-
appstream:fleet:DesiredCapacity
- The desired capacity of an AppStream 2.0 fleet.
-
dynamodb:table:ReadCapacityUnits
- The provisioned read capacity for a DynamoDB table.
-
dynamodb:table:WriteCapacityUnits
- The provisioned write capacity for a DynamoDB table.
-
dynamodb:index:ReadCapacityUnits
- The provisioned read capacity for a DynamoDB global secondary index.
-
dynamodb:index:WriteCapacityUnits
- The provisioned write capacity for a DynamoDB global secondary index.
-
rds:cluster:ReadReplicaCount
- The count of Aurora Replicas in an Aurora DB cluster. Available for Aurora MySQL-compatible edition and Aurora PostgreSQL-compatible edition.
-
sagemaker:variant:DesiredInstanceCount
- The number of EC2 instances for an Amazon SageMaker model endpoint variant.
-
custom-resource:ResourceType:Property
- The scalable dimension for a custom resource provided by your own application or service.
-
comprehend:document-classifier-endpoint:DesiredInferenceUnits
- The number of inference units for an Amazon Comprehend document classification endpoint.
"
+ "documentation": "The scalable dimension associated with the scalable target. This string consists of the service namespace, resource type, and scaling property. If you specify a scalable dimension, you must also specify a resource ID.
-
ecs:service:DesiredCount
- The desired task count of an ECS service.
-
ec2:spot-fleet-request:TargetCapacity
- The target capacity of a Spot Fleet request.
-
elasticmapreduce:instancegroup:InstanceCount
- The instance count of an EMR Instance Group.
-
appstream:fleet:DesiredCapacity
- The desired capacity of an AppStream 2.0 fleet.
-
dynamodb:table:ReadCapacityUnits
- The provisioned read capacity for a DynamoDB table.
-
dynamodb:table:WriteCapacityUnits
- The provisioned write capacity for a DynamoDB table.
-
dynamodb:index:ReadCapacityUnits
- The provisioned read capacity for a DynamoDB global secondary index.
-
dynamodb:index:WriteCapacityUnits
- The provisioned write capacity for a DynamoDB global secondary index.
-
rds:cluster:ReadReplicaCount
- The count of Aurora Replicas in an Aurora DB cluster. Available for Aurora MySQL-compatible edition and Aurora PostgreSQL-compatible edition.
-
sagemaker:variant:DesiredInstanceCount
- The number of EC2 instances for an Amazon SageMaker model endpoint variant.
-
custom-resource:ResourceType:Property
- The scalable dimension for a custom resource provided by your own application or service.
-
comprehend:document-classifier-endpoint:DesiredInferenceUnits
- The number of inference units for an Amazon Comprehend document classification endpoint.
-
lambda:function:ProvisionedConcurrency
- The provisioned concurrency for a Lambda function.
"
},
"MaxResults": {
"shape": "MaxResults",
@@ -514,11 +514,11 @@
},
"ResourceId": {
"shape": "ResourceIdMaxLen1600",
- "documentation": "The identifier of the resource associated with the scaling activity. This string consists of the resource type and unique identifier. If you specify a scalable dimension, you must also specify a resource ID.
-
ECS service - The resource type is service
and the unique identifier is the cluster name and service name. Example: service/default/sample-webapp
.
-
Spot Fleet request - The resource type is spot-fleet-request
and the unique identifier is the Spot Fleet request ID. Example: spot-fleet-request/sfr-73fbd2ce-aa30-494c-8788-1cee4EXAMPLE
.
-
EMR cluster - The resource type is instancegroup
and the unique identifier is the cluster ID and instance group ID. Example: instancegroup/j-2EEZNYKUA1NTV/ig-1791Y4E1L8YI0
.
-
AppStream 2.0 fleet - The resource type is fleet
and the unique identifier is the fleet name. Example: fleet/sample-fleet
.
-
DynamoDB table - The resource type is table
and the unique identifier is the table name. Example: table/my-table
.
-
DynamoDB global secondary index - The resource type is index
and the unique identifier is the index name. Example: table/my-table/index/my-table-index
.
-
Aurora DB cluster - The resource type is cluster
and the unique identifier is the cluster name. Example: cluster:my-db-cluster
.
-
Amazon SageMaker endpoint variant - The resource type is variant
and the unique identifier is the resource ID. Example: endpoint/my-end-point/variant/KMeansClustering
.
-
Custom resources are not supported with a resource type. This parameter must specify the OutputValue
from the CloudFormation template stack used to access the resources. The unique identifier is defined by the service provider. More information is available in our GitHub repository.
-
Amazon Comprehend document classification endpoint - The resource type and unique identifier are specified using the endpoint ARN. Example: arn:aws:comprehend:us-west-2:123456789012:document-classifier-endpoint/EXAMPLE
.
"
+ "documentation": "The identifier of the resource associated with the scaling activity. This string consists of the resource type and unique identifier. If you specify a scalable dimension, you must also specify a resource ID.
-
ECS service - The resource type is service
and the unique identifier is the cluster name and service name. Example: service/default/sample-webapp
.
-
Spot Fleet request - The resource type is spot-fleet-request
and the unique identifier is the Spot Fleet request ID. Example: spot-fleet-request/sfr-73fbd2ce-aa30-494c-8788-1cee4EXAMPLE
.
-
EMR cluster - The resource type is instancegroup
and the unique identifier is the cluster ID and instance group ID. Example: instancegroup/j-2EEZNYKUA1NTV/ig-1791Y4E1L8YI0
.
-
AppStream 2.0 fleet - The resource type is fleet
and the unique identifier is the fleet name. Example: fleet/sample-fleet
.
-
DynamoDB table - The resource type is table
and the unique identifier is the table name. Example: table/my-table
.
-
DynamoDB global secondary index - The resource type is index
and the unique identifier is the index name. Example: table/my-table/index/my-table-index
.
-
Aurora DB cluster - The resource type is cluster
and the unique identifier is the cluster name. Example: cluster:my-db-cluster
.
-
Amazon SageMaker endpoint variant - The resource type is variant
and the unique identifier is the resource ID. Example: endpoint/my-end-point/variant/KMeansClustering
.
-
Custom resources are not supported with a resource type. This parameter must specify the OutputValue
from the CloudFormation template stack used to access the resources. The unique identifier is defined by the service provider. More information is available in our GitHub repository.
-
Amazon Comprehend document classification endpoint - The resource type and unique identifier are specified using the endpoint ARN. Example: arn:aws:comprehend:us-west-2:123456789012:document-classifier-endpoint/EXAMPLE
.
-
Lambda provisioned concurrency - The resource type is function
and the unique identifier is the function name with a function version or alias name suffix that is not $LATEST
. Example: function:my-function:prod
or function:my-function:1
.
"
},
"ScalableDimension": {
"shape": "ScalableDimension",
- "documentation": "The scalable dimension. This string consists of the service namespace, resource type, and scaling property. If you specify a scalable dimension, you must also specify a resource ID.
-
ecs:service:DesiredCount
- The desired task count of an ECS service.
-
ec2:spot-fleet-request:TargetCapacity
- The target capacity of a Spot Fleet request.
-
elasticmapreduce:instancegroup:InstanceCount
- The instance count of an EMR Instance Group.
-
appstream:fleet:DesiredCapacity
- The desired capacity of an AppStream 2.0 fleet.
-
dynamodb:table:ReadCapacityUnits
- The provisioned read capacity for a DynamoDB table.
-
dynamodb:table:WriteCapacityUnits
- The provisioned write capacity for a DynamoDB table.
-
dynamodb:index:ReadCapacityUnits
- The provisioned read capacity for a DynamoDB global secondary index.
-
dynamodb:index:WriteCapacityUnits
- The provisioned write capacity for a DynamoDB global secondary index.
-
rds:cluster:ReadReplicaCount
- The count of Aurora Replicas in an Aurora DB cluster. Available for Aurora MySQL-compatible edition and Aurora PostgreSQL-compatible edition.
-
sagemaker:variant:DesiredInstanceCount
- The number of EC2 instances for an Amazon SageMaker model endpoint variant.
-
custom-resource:ResourceType:Property
- The scalable dimension for a custom resource provided by your own application or service.
-
comprehend:document-classifier-endpoint:DesiredInferenceUnits
- The number of inference units for an Amazon Comprehend document classification endpoint.
"
+ "documentation": "The scalable dimension. This string consists of the service namespace, resource type, and scaling property. If you specify a scalable dimension, you must also specify a resource ID.
-
ecs:service:DesiredCount
- The desired task count of an ECS service.
-
ec2:spot-fleet-request:TargetCapacity
- The target capacity of a Spot Fleet request.
-
elasticmapreduce:instancegroup:InstanceCount
- The instance count of an EMR Instance Group.
-
appstream:fleet:DesiredCapacity
- The desired capacity of an AppStream 2.0 fleet.
-
dynamodb:table:ReadCapacityUnits
- The provisioned read capacity for a DynamoDB table.
-
dynamodb:table:WriteCapacityUnits
- The provisioned write capacity for a DynamoDB table.
-
dynamodb:index:ReadCapacityUnits
- The provisioned read capacity for a DynamoDB global secondary index.
-
dynamodb:index:WriteCapacityUnits
- The provisioned write capacity for a DynamoDB global secondary index.
-
rds:cluster:ReadReplicaCount
- The count of Aurora Replicas in an Aurora DB cluster. Available for Aurora MySQL-compatible edition and Aurora PostgreSQL-compatible edition.
-
sagemaker:variant:DesiredInstanceCount
- The number of EC2 instances for an Amazon SageMaker model endpoint variant.
-
custom-resource:ResourceType:Property
- The scalable dimension for a custom resource provided by your own application or service.
-
comprehend:document-classifier-endpoint:DesiredInferenceUnits
- The number of inference units for an Amazon Comprehend document classification endpoint.
-
lambda:function:ProvisionedConcurrency
- The provisioned concurrency for a Lambda function.
"
},
"MaxResults": {
"shape": "MaxResults",
@@ -559,11 +559,11 @@
},
"ResourceId": {
"shape": "ResourceIdMaxLen1600",
- "documentation": "The identifier of the resource associated with the scaling policy. This string consists of the resource type and unique identifier. If you specify a scalable dimension, you must also specify a resource ID.
-
ECS service - The resource type is service
and the unique identifier is the cluster name and service name. Example: service/default/sample-webapp
.
-
Spot Fleet request - The resource type is spot-fleet-request
and the unique identifier is the Spot Fleet request ID. Example: spot-fleet-request/sfr-73fbd2ce-aa30-494c-8788-1cee4EXAMPLE
.
-
EMR cluster - The resource type is instancegroup
and the unique identifier is the cluster ID and instance group ID. Example: instancegroup/j-2EEZNYKUA1NTV/ig-1791Y4E1L8YI0
.
-
AppStream 2.0 fleet - The resource type is fleet
and the unique identifier is the fleet name. Example: fleet/sample-fleet
.
-
DynamoDB table - The resource type is table
and the unique identifier is the table name. Example: table/my-table
.
-
DynamoDB global secondary index - The resource type is index
and the unique identifier is the index name. Example: table/my-table/index/my-table-index
.
-
Aurora DB cluster - The resource type is cluster
and the unique identifier is the cluster name. Example: cluster:my-db-cluster
.
-
Amazon SageMaker endpoint variant - The resource type is variant
and the unique identifier is the resource ID. Example: endpoint/my-end-point/variant/KMeansClustering
.
-
Custom resources are not supported with a resource type. This parameter must specify the OutputValue
from the CloudFormation template stack used to access the resources. The unique identifier is defined by the service provider. More information is available in our GitHub repository.
-
Amazon Comprehend document classification endpoint - The resource type and unique identifier are specified using the endpoint ARN. Example: arn:aws:comprehend:us-west-2:123456789012:document-classifier-endpoint/EXAMPLE
.
"
+ "documentation": "The identifier of the resource associated with the scaling policy. This string consists of the resource type and unique identifier. If you specify a scalable dimension, you must also specify a resource ID.
-
ECS service - The resource type is service
and the unique identifier is the cluster name and service name. Example: service/default/sample-webapp
.
-
Spot Fleet request - The resource type is spot-fleet-request
and the unique identifier is the Spot Fleet request ID. Example: spot-fleet-request/sfr-73fbd2ce-aa30-494c-8788-1cee4EXAMPLE
.
-
EMR cluster - The resource type is instancegroup
and the unique identifier is the cluster ID and instance group ID. Example: instancegroup/j-2EEZNYKUA1NTV/ig-1791Y4E1L8YI0
.
-
AppStream 2.0 fleet - The resource type is fleet
and the unique identifier is the fleet name. Example: fleet/sample-fleet
.
-
DynamoDB table - The resource type is table
and the unique identifier is the table name. Example: table/my-table
.
-
DynamoDB global secondary index - The resource type is index
and the unique identifier is the index name. Example: table/my-table/index/my-table-index
.
-
Aurora DB cluster - The resource type is cluster
and the unique identifier is the cluster name. Example: cluster:my-db-cluster
.
-
Amazon SageMaker endpoint variant - The resource type is variant
and the unique identifier is the resource ID. Example: endpoint/my-end-point/variant/KMeansClustering
.
-
Custom resources are not supported with a resource type. This parameter must specify the OutputValue
from the CloudFormation template stack used to access the resources. The unique identifier is defined by the service provider. More information is available in our GitHub repository.
-
Amazon Comprehend document classification endpoint - The resource type and unique identifier are specified using the endpoint ARN. Example: arn:aws:comprehend:us-west-2:123456789012:document-classifier-endpoint/EXAMPLE
.
-
Lambda provisioned concurrency - The resource type is function
and the unique identifier is the function name with a function version or alias name suffix that is not $LATEST
. Example: function:my-function:prod
or function:my-function:1
.
"
},
"ScalableDimension": {
"shape": "ScalableDimension",
- "documentation": "The scalable dimension. This string consists of the service namespace, resource type, and scaling property. If you specify a scalable dimension, you must also specify a resource ID.
-
ecs:service:DesiredCount
- The desired task count of an ECS service.
-
ec2:spot-fleet-request:TargetCapacity
- The target capacity of a Spot Fleet request.
-
elasticmapreduce:instancegroup:InstanceCount
- The instance count of an EMR Instance Group.
-
appstream:fleet:DesiredCapacity
- The desired capacity of an AppStream 2.0 fleet.
-
dynamodb:table:ReadCapacityUnits
- The provisioned read capacity for a DynamoDB table.
-
dynamodb:table:WriteCapacityUnits
- The provisioned write capacity for a DynamoDB table.
-
dynamodb:index:ReadCapacityUnits
- The provisioned read capacity for a DynamoDB global secondary index.
-
dynamodb:index:WriteCapacityUnits
- The provisioned write capacity for a DynamoDB global secondary index.
-
rds:cluster:ReadReplicaCount
- The count of Aurora Replicas in an Aurora DB cluster. Available for Aurora MySQL-compatible edition and Aurora PostgreSQL-compatible edition.
-
sagemaker:variant:DesiredInstanceCount
- The number of EC2 instances for an Amazon SageMaker model endpoint variant.
-
custom-resource:ResourceType:Property
- The scalable dimension for a custom resource provided by your own application or service.
-
comprehend:document-classifier-endpoint:DesiredInferenceUnits
- The number of inference units for an Amazon Comprehend document classification endpoint.
"
+ "documentation": "The scalable dimension. This string consists of the service namespace, resource type, and scaling property. If you specify a scalable dimension, you must also specify a resource ID.
-
ecs:service:DesiredCount
- The desired task count of an ECS service.
-
ec2:spot-fleet-request:TargetCapacity
- The target capacity of a Spot Fleet request.
-
elasticmapreduce:instancegroup:InstanceCount
- The instance count of an EMR Instance Group.
-
appstream:fleet:DesiredCapacity
- The desired capacity of an AppStream 2.0 fleet.
-
dynamodb:table:ReadCapacityUnits
- The provisioned read capacity for a DynamoDB table.
-
dynamodb:table:WriteCapacityUnits
- The provisioned write capacity for a DynamoDB table.
-
dynamodb:index:ReadCapacityUnits
- The provisioned read capacity for a DynamoDB global secondary index.
-
dynamodb:index:WriteCapacityUnits
- The provisioned write capacity for a DynamoDB global secondary index.
-
rds:cluster:ReadReplicaCount
- The count of Aurora Replicas in an Aurora DB cluster. Available for Aurora MySQL-compatible edition and Aurora PostgreSQL-compatible edition.
-
sagemaker:variant:DesiredInstanceCount
- The number of EC2 instances for an Amazon SageMaker model endpoint variant.
-
custom-resource:ResourceType:Property
- The scalable dimension for a custom resource provided by your own application or service.
-
comprehend:document-classifier-endpoint:DesiredInferenceUnits
- The number of inference units for an Amazon Comprehend document classification endpoint.
-
lambda:function:ProvisionedConcurrency
- The provisioned concurrency for a Lambda function.
"
},
"MaxResults": {
"shape": "MaxResults",
@@ -604,11 +604,11 @@
},
"ResourceId": {
"shape": "ResourceIdMaxLen1600",
- "documentation": "The identifier of the resource associated with the scheduled action. This string consists of the resource type and unique identifier. If you specify a scalable dimension, you must also specify a resource ID.
-
ECS service - The resource type is service
and the unique identifier is the cluster name and service name. Example: service/default/sample-webapp
.
-
Spot Fleet request - The resource type is spot-fleet-request
and the unique identifier is the Spot Fleet request ID. Example: spot-fleet-request/sfr-73fbd2ce-aa30-494c-8788-1cee4EXAMPLE
.
-
EMR cluster - The resource type is instancegroup
and the unique identifier is the cluster ID and instance group ID. Example: instancegroup/j-2EEZNYKUA1NTV/ig-1791Y4E1L8YI0
.
-
AppStream 2.0 fleet - The resource type is fleet
and the unique identifier is the fleet name. Example: fleet/sample-fleet
.
-
DynamoDB table - The resource type is table
and the unique identifier is the table name. Example: table/my-table
.
-
DynamoDB global secondary index - The resource type is index
and the unique identifier is the index name. Example: table/my-table/index/my-table-index
.
-
Aurora DB cluster - The resource type is cluster
and the unique identifier is the cluster name. Example: cluster:my-db-cluster
.
-
Amazon SageMaker endpoint variant - The resource type is variant
and the unique identifier is the resource ID. Example: endpoint/my-end-point/variant/KMeansClustering
.
-
Custom resources are not supported with a resource type. This parameter must specify the OutputValue
from the CloudFormation template stack used to access the resources. The unique identifier is defined by the service provider. More information is available in our GitHub repository.
-
Amazon Comprehend document classification endpoint - The resource type and unique identifier are specified using the endpoint ARN. Example: arn:aws:comprehend:us-west-2:123456789012:document-classifier-endpoint/EXAMPLE
.
"
+ "documentation": "The identifier of the resource associated with the scheduled action. This string consists of the resource type and unique identifier. If you specify a scalable dimension, you must also specify a resource ID.
-
ECS service - The resource type is service
and the unique identifier is the cluster name and service name. Example: service/default/sample-webapp
.
-
Spot Fleet request - The resource type is spot-fleet-request
and the unique identifier is the Spot Fleet request ID. Example: spot-fleet-request/sfr-73fbd2ce-aa30-494c-8788-1cee4EXAMPLE
.
-
EMR cluster - The resource type is instancegroup
and the unique identifier is the cluster ID and instance group ID. Example: instancegroup/j-2EEZNYKUA1NTV/ig-1791Y4E1L8YI0
.
-
AppStream 2.0 fleet - The resource type is fleet
and the unique identifier is the fleet name. Example: fleet/sample-fleet
.
-
DynamoDB table - The resource type is table
and the unique identifier is the table name. Example: table/my-table
.
-
DynamoDB global secondary index - The resource type is index
and the unique identifier is the index name. Example: table/my-table/index/my-table-index
.
-
Aurora DB cluster - The resource type is cluster
and the unique identifier is the cluster name. Example: cluster:my-db-cluster
.
-
Amazon SageMaker endpoint variant - The resource type is variant
and the unique identifier is the resource ID. Example: endpoint/my-end-point/variant/KMeansClustering
.
-
Custom resources are not supported with a resource type. This parameter must specify the OutputValue
from the CloudFormation template stack used to access the resources. The unique identifier is defined by the service provider. More information is available in our GitHub repository.
-
Amazon Comprehend document classification endpoint - The resource type and unique identifier are specified using the endpoint ARN. Example: arn:aws:comprehend:us-west-2:123456789012:document-classifier-endpoint/EXAMPLE
.
-
Lambda provisioned concurrency - The resource type is function
and the unique identifier is the function name with a function version or alias name suffix that is not $LATEST
. Example: function:my-function:prod
or function:my-function:1
.
"
},
"ScalableDimension": {
"shape": "ScalableDimension",
- "documentation": "The scalable dimension. This string consists of the service namespace, resource type, and scaling property. If you specify a scalable dimension, you must also specify a resource ID.
-
ecs:service:DesiredCount
- The desired task count of an ECS service.
-
ec2:spot-fleet-request:TargetCapacity
- The target capacity of a Spot Fleet request.
-
elasticmapreduce:instancegroup:InstanceCount
- The instance count of an EMR Instance Group.
-
appstream:fleet:DesiredCapacity
- The desired capacity of an AppStream 2.0 fleet.
-
dynamodb:table:ReadCapacityUnits
- The provisioned read capacity for a DynamoDB table.
-
dynamodb:table:WriteCapacityUnits
- The provisioned write capacity for a DynamoDB table.
-
dynamodb:index:ReadCapacityUnits
- The provisioned read capacity for a DynamoDB global secondary index.
-
dynamodb:index:WriteCapacityUnits
- The provisioned write capacity for a DynamoDB global secondary index.
-
rds:cluster:ReadReplicaCount
- The count of Aurora Replicas in an Aurora DB cluster. Available for Aurora MySQL-compatible edition and Aurora PostgreSQL-compatible edition.
-
sagemaker:variant:DesiredInstanceCount
- The number of EC2 instances for an Amazon SageMaker model endpoint variant.
-
custom-resource:ResourceType:Property
- The scalable dimension for a custom resource provided by your own application or service.
-
comprehend:document-classifier-endpoint:DesiredInferenceUnits
- The number of inference units for an Amazon Comprehend document classification endpoint.
"
+ "documentation": "The scalable dimension. This string consists of the service namespace, resource type, and scaling property. If you specify a scalable dimension, you must also specify a resource ID.
-
ecs:service:DesiredCount
- The desired task count of an ECS service.
-
ec2:spot-fleet-request:TargetCapacity
- The target capacity of a Spot Fleet request.
-
elasticmapreduce:instancegroup:InstanceCount
- The instance count of an EMR Instance Group.
-
appstream:fleet:DesiredCapacity
- The desired capacity of an AppStream 2.0 fleet.
-
dynamodb:table:ReadCapacityUnits
- The provisioned read capacity for a DynamoDB table.
-
dynamodb:table:WriteCapacityUnits
- The provisioned write capacity for a DynamoDB table.
-
dynamodb:index:ReadCapacityUnits
- The provisioned read capacity for a DynamoDB global secondary index.
-
dynamodb:index:WriteCapacityUnits
- The provisioned write capacity for a DynamoDB global secondary index.
-
rds:cluster:ReadReplicaCount
- The count of Aurora Replicas in an Aurora DB cluster. Available for Aurora MySQL-compatible edition and Aurora PostgreSQL-compatible edition.
-
sagemaker:variant:DesiredInstanceCount
- The number of EC2 instances for an Amazon SageMaker model endpoint variant.
-
custom-resource:ResourceType:Property
- The scalable dimension for a custom resource provided by your own application or service.
-
comprehend:document-classifier-endpoint:DesiredInferenceUnits
- The number of inference units for an Amazon Comprehend document classification endpoint.
-
lambda:function:ProvisionedConcurrency
- The provisioned concurrency for a Lambda function.
"
},
"MaxResults": {
"shape": "MaxResults",
@@ -711,7 +711,8 @@
"ECSServiceAverageCPUUtilization",
"ECSServiceAverageMemoryUtilization",
"AppStreamAverageCapacityUtilization",
- "ComprehendInferenceUtilization"
+ "ComprehendInferenceUtilization",
+ "LambdaProvisionedConcurrencyUtilization"
]
},
"MetricUnit": {
@@ -769,15 +770,15 @@
},
"ResourceId": {
"shape": "ResourceIdMaxLen1600",
- "documentation": "The identifier of the resource associated with the scaling policy. This string consists of the resource type and unique identifier.
-
ECS service - The resource type is service
and the unique identifier is the cluster name and service name. Example: service/default/sample-webapp
.
-
Spot Fleet request - The resource type is spot-fleet-request
and the unique identifier is the Spot Fleet request ID. Example: spot-fleet-request/sfr-73fbd2ce-aa30-494c-8788-1cee4EXAMPLE
.
-
EMR cluster - The resource type is instancegroup
and the unique identifier is the cluster ID and instance group ID. Example: instancegroup/j-2EEZNYKUA1NTV/ig-1791Y4E1L8YI0
.
-
AppStream 2.0 fleet - The resource type is fleet
and the unique identifier is the fleet name. Example: fleet/sample-fleet
.
-
DynamoDB table - The resource type is table
and the unique identifier is the table name. Example: table/my-table
.
-
DynamoDB global secondary index - The resource type is index
and the unique identifier is the index name. Example: table/my-table/index/my-table-index
.
-
Aurora DB cluster - The resource type is cluster
and the unique identifier is the cluster name. Example: cluster:my-db-cluster
.
-
Amazon SageMaker endpoint variant - The resource type is variant
and the unique identifier is the resource ID. Example: endpoint/my-end-point/variant/KMeansClustering
.
-
Custom resources are not supported with a resource type. This parameter must specify the OutputValue
from the CloudFormation template stack used to access the resources. The unique identifier is defined by the service provider. More information is available in our GitHub repository.
-
Amazon Comprehend document classification endpoint - The resource type and unique identifier are specified using the endpoint ARN. Example: arn:aws:comprehend:us-west-2:123456789012:document-classifier-endpoint/EXAMPLE
.
"
+ "documentation": "The identifier of the resource associated with the scaling policy. This string consists of the resource type and unique identifier.
-
ECS service - The resource type is service
and the unique identifier is the cluster name and service name. Example: service/default/sample-webapp
.
-
Spot Fleet request - The resource type is spot-fleet-request
and the unique identifier is the Spot Fleet request ID. Example: spot-fleet-request/sfr-73fbd2ce-aa30-494c-8788-1cee4EXAMPLE
.
-
EMR cluster - The resource type is instancegroup
and the unique identifier is the cluster ID and instance group ID. Example: instancegroup/j-2EEZNYKUA1NTV/ig-1791Y4E1L8YI0
.
-
AppStream 2.0 fleet - The resource type is fleet
and the unique identifier is the fleet name. Example: fleet/sample-fleet
.
-
DynamoDB table - The resource type is table
and the unique identifier is the table name. Example: table/my-table
.
-
DynamoDB global secondary index - The resource type is index
and the unique identifier is the index name. Example: table/my-table/index/my-table-index
.
-
Aurora DB cluster - The resource type is cluster
and the unique identifier is the cluster name. Example: cluster:my-db-cluster
.
-
Amazon SageMaker endpoint variant - The resource type is variant
and the unique identifier is the resource ID. Example: endpoint/my-end-point/variant/KMeansClustering
.
-
Custom resources are not supported with a resource type. This parameter must specify the OutputValue
from the CloudFormation template stack used to access the resources. The unique identifier is defined by the service provider. More information is available in our GitHub repository.
-
Amazon Comprehend document classification endpoint - The resource type and unique identifier are specified using the endpoint ARN. Example: arn:aws:comprehend:us-west-2:123456789012:document-classifier-endpoint/EXAMPLE
.
-
Lambda provisioned concurrency - The resource type is function
and the unique identifier is the function name with a function version or alias name suffix that is not $LATEST
. Example: function:my-function:prod
or function:my-function:1
.
"
},
"ScalableDimension": {
"shape": "ScalableDimension",
- "documentation": "The scalable dimension. This string consists of the service namespace, resource type, and scaling property.
-
ecs:service:DesiredCount
- The desired task count of an ECS service.
-
ec2:spot-fleet-request:TargetCapacity
- The target capacity of a Spot Fleet request.
-
elasticmapreduce:instancegroup:InstanceCount
- The instance count of an EMR Instance Group.
-
appstream:fleet:DesiredCapacity
- The desired capacity of an AppStream 2.0 fleet.
-
dynamodb:table:ReadCapacityUnits
- The provisioned read capacity for a DynamoDB table.
-
dynamodb:table:WriteCapacityUnits
- The provisioned write capacity for a DynamoDB table.
-
dynamodb:index:ReadCapacityUnits
- The provisioned read capacity for a DynamoDB global secondary index.
-
dynamodb:index:WriteCapacityUnits
- The provisioned write capacity for a DynamoDB global secondary index.
-
rds:cluster:ReadReplicaCount
- The count of Aurora Replicas in an Aurora DB cluster. Available for Aurora MySQL-compatible edition and Aurora PostgreSQL-compatible edition.
-
sagemaker:variant:DesiredInstanceCount
- The number of EC2 instances for an Amazon SageMaker model endpoint variant.
-
custom-resource:ResourceType:Property
- The scalable dimension for a custom resource provided by your own application or service.
-
comprehend:document-classifier-endpoint:DesiredInferenceUnits
- The number of inference units for an Amazon Comprehend document classification endpoint.
"
+ "documentation": "The scalable dimension. This string consists of the service namespace, resource type, and scaling property.
-
ecs:service:DesiredCount
- The desired task count of an ECS service.
-
ec2:spot-fleet-request:TargetCapacity
- The target capacity of a Spot Fleet request.
-
elasticmapreduce:instancegroup:InstanceCount
- The instance count of an EMR Instance Group.
-
appstream:fleet:DesiredCapacity
- The desired capacity of an AppStream 2.0 fleet.
-
dynamodb:table:ReadCapacityUnits
- The provisioned read capacity for a DynamoDB table.
-
dynamodb:table:WriteCapacityUnits
- The provisioned write capacity for a DynamoDB table.
-
dynamodb:index:ReadCapacityUnits
- The provisioned read capacity for a DynamoDB global secondary index.
-
dynamodb:index:WriteCapacityUnits
- The provisioned write capacity for a DynamoDB global secondary index.
-
rds:cluster:ReadReplicaCount
- The count of Aurora Replicas in an Aurora DB cluster. Available for Aurora MySQL-compatible edition and Aurora PostgreSQL-compatible edition.
-
sagemaker:variant:DesiredInstanceCount
- The number of EC2 instances for an Amazon SageMaker model endpoint variant.
-
custom-resource:ResourceType:Property
- The scalable dimension for a custom resource provided by your own application or service.
-
comprehend:document-classifier-endpoint:DesiredInferenceUnits
- The number of inference units for an Amazon Comprehend document classification endpoint.
-
lambda:function:ProvisionedConcurrency
- The provisioned concurrency for a Lambda function.
"
},
"PolicyType": {
"shape": "PolicyType",
- "documentation": "The policy type. This parameter is required if you are creating a scaling policy.
The following policy types are supported:
TargetTrackingScaling
—Not supported for Amazon EMR
StepScaling
—Not supported for DynamoDB or Amazon Comprehend
For more information, see Target Tracking Scaling Policies and Step Scaling Policies in the Application Auto Scaling User Guide.
"
+ "documentation": "The policy type. This parameter is required if you are creating a scaling policy.
The following policy types are supported:
TargetTrackingScaling
—Not supported for Amazon EMR
StepScaling
—Not supported for DynamoDB, Amazon Comprehend, or AWS Lambda
For more information, see Target Tracking Scaling Policies and Step Scaling Policies in the Application Auto Scaling User Guide.
"
},
"StepScalingPolicyConfiguration": {
"shape": "StepScalingPolicyConfiguration",
@@ -828,11 +829,11 @@
},
"ResourceId": {
"shape": "ResourceIdMaxLen1600",
- "documentation": "The identifier of the resource associated with the scheduled action. This string consists of the resource type and unique identifier.
-
ECS service - The resource type is service
and the unique identifier is the cluster name and service name. Example: service/default/sample-webapp
.
-
Spot Fleet request - The resource type is spot-fleet-request
and the unique identifier is the Spot Fleet request ID. Example: spot-fleet-request/sfr-73fbd2ce-aa30-494c-8788-1cee4EXAMPLE
.
-
EMR cluster - The resource type is instancegroup
and the unique identifier is the cluster ID and instance group ID. Example: instancegroup/j-2EEZNYKUA1NTV/ig-1791Y4E1L8YI0
.
-
AppStream 2.0 fleet - The resource type is fleet
and the unique identifier is the fleet name. Example: fleet/sample-fleet
.
-
DynamoDB table - The resource type is table
and the unique identifier is the table name. Example: table/my-table
.
-
DynamoDB global secondary index - The resource type is index
and the unique identifier is the index name. Example: table/my-table/index/my-table-index
.
-
Aurora DB cluster - The resource type is cluster
and the unique identifier is the cluster name. Example: cluster:my-db-cluster
.
-
Amazon SageMaker endpoint variant - The resource type is variant
and the unique identifier is the resource ID. Example: endpoint/my-end-point/variant/KMeansClustering
.
-
Custom resources are not supported with a resource type. This parameter must specify the OutputValue
from the CloudFormation template stack used to access the resources. The unique identifier is defined by the service provider. More information is available in our GitHub repository.
-
Amazon Comprehend document classification endpoint - The resource type and unique identifier are specified using the endpoint ARN. Example: arn:aws:comprehend:us-west-2:123456789012:document-classifier-endpoint/EXAMPLE
.
"
+ "documentation": "The identifier of the resource associated with the scheduled action. This string consists of the resource type and unique identifier.
-
ECS service - The resource type is service
and the unique identifier is the cluster name and service name. Example: service/default/sample-webapp
.
-
Spot Fleet request - The resource type is spot-fleet-request
and the unique identifier is the Spot Fleet request ID. Example: spot-fleet-request/sfr-73fbd2ce-aa30-494c-8788-1cee4EXAMPLE
.
-
EMR cluster - The resource type is instancegroup
and the unique identifier is the cluster ID and instance group ID. Example: instancegroup/j-2EEZNYKUA1NTV/ig-1791Y4E1L8YI0
.
-
AppStream 2.0 fleet - The resource type is fleet
and the unique identifier is the fleet name. Example: fleet/sample-fleet
.
-
DynamoDB table - The resource type is table
and the unique identifier is the table name. Example: table/my-table
.
-
DynamoDB global secondary index - The resource type is index
and the unique identifier is the index name. Example: table/my-table/index/my-table-index
.
-
Aurora DB cluster - The resource type is cluster
and the unique identifier is the cluster name. Example: cluster:my-db-cluster
.
-
Amazon SageMaker endpoint variant - The resource type is variant
and the unique identifier is the resource ID. Example: endpoint/my-end-point/variant/KMeansClustering
.
-
Custom resources are not supported with a resource type. This parameter must specify the OutputValue
from the CloudFormation template stack used to access the resources. The unique identifier is defined by the service provider. More information is available in our GitHub repository.
-
Amazon Comprehend document classification endpoint - The resource type and unique identifier are specified using the endpoint ARN. Example: arn:aws:comprehend:us-west-2:123456789012:document-classifier-endpoint/EXAMPLE
.
-
Lambda provisioned concurrency - The resource type is function
and the unique identifier is the function name with a function version or alias name suffix that is not $LATEST
. Example: function:my-function:prod
or function:my-function:1
.
"
},
"ScalableDimension": {
"shape": "ScalableDimension",
- "documentation": "The scalable dimension. This string consists of the service namespace, resource type, and scaling property.
-
ecs:service:DesiredCount
- The desired task count of an ECS service.
-
ec2:spot-fleet-request:TargetCapacity
- The target capacity of a Spot Fleet request.
-
elasticmapreduce:instancegroup:InstanceCount
- The instance count of an EMR Instance Group.
-
appstream:fleet:DesiredCapacity
- The desired capacity of an AppStream 2.0 fleet.
-
dynamodb:table:ReadCapacityUnits
- The provisioned read capacity for a DynamoDB table.
-
dynamodb:table:WriteCapacityUnits
- The provisioned write capacity for a DynamoDB table.
-
dynamodb:index:ReadCapacityUnits
- The provisioned read capacity for a DynamoDB global secondary index.
-
dynamodb:index:WriteCapacityUnits
- The provisioned write capacity for a DynamoDB global secondary index.
-
rds:cluster:ReadReplicaCount
- The count of Aurora Replicas in an Aurora DB cluster. Available for Aurora MySQL-compatible edition and Aurora PostgreSQL-compatible edition.
-
sagemaker:variant:DesiredInstanceCount
- The number of EC2 instances for an Amazon SageMaker model endpoint variant.
-
custom-resource:ResourceType:Property
- The scalable dimension for a custom resource provided by your own application or service.
-
comprehend:document-classifier-endpoint:DesiredInferenceUnits
- The number of inference units for an Amazon Comprehend document classification endpoint.
"
+ "documentation": "The scalable dimension. This string consists of the service namespace, resource type, and scaling property.
-
ecs:service:DesiredCount
- The desired task count of an ECS service.
-
ec2:spot-fleet-request:TargetCapacity
- The target capacity of a Spot Fleet request.
-
elasticmapreduce:instancegroup:InstanceCount
- The instance count of an EMR Instance Group.
-
appstream:fleet:DesiredCapacity
- The desired capacity of an AppStream 2.0 fleet.
-
dynamodb:table:ReadCapacityUnits
- The provisioned read capacity for a DynamoDB table.
-
dynamodb:table:WriteCapacityUnits
- The provisioned write capacity for a DynamoDB table.
-
dynamodb:index:ReadCapacityUnits
- The provisioned read capacity for a DynamoDB global secondary index.
-
dynamodb:index:WriteCapacityUnits
- The provisioned write capacity for a DynamoDB global secondary index.
-
rds:cluster:ReadReplicaCount
- The count of Aurora Replicas in an Aurora DB cluster. Available for Aurora MySQL-compatible edition and Aurora PostgreSQL-compatible edition.
-
sagemaker:variant:DesiredInstanceCount
- The number of EC2 instances for an Amazon SageMaker model endpoint variant.
-
custom-resource:ResourceType:Property
- The scalable dimension for a custom resource provided by your own application or service.
-
comprehend:document-classifier-endpoint:DesiredInferenceUnits
- The number of inference units for an Amazon Comprehend document classification endpoint.
-
lambda:function:ProvisionedConcurrency
- The provisioned concurrency for a Lambda function.
"
},
"StartTime": {
"shape": "TimestampType",
@@ -866,11 +867,11 @@
},
"ResourceId": {
"shape": "ResourceIdMaxLen1600",
- "documentation": "The identifier of the resource that is associated with the scalable target. This string consists of the resource type and unique identifier.
-
ECS service - The resource type is service
and the unique identifier is the cluster name and service name. Example: service/default/sample-webapp
.
-
Spot Fleet request - The resource type is spot-fleet-request
and the unique identifier is the Spot Fleet request ID. Example: spot-fleet-request/sfr-73fbd2ce-aa30-494c-8788-1cee4EXAMPLE
.
-
EMR cluster - The resource type is instancegroup
and the unique identifier is the cluster ID and instance group ID. Example: instancegroup/j-2EEZNYKUA1NTV/ig-1791Y4E1L8YI0
.
-
AppStream 2.0 fleet - The resource type is fleet
and the unique identifier is the fleet name. Example: fleet/sample-fleet
.
-
DynamoDB table - The resource type is table
and the unique identifier is the table name. Example: table/my-table
.
-
DynamoDB global secondary index - The resource type is index
and the unique identifier is the index name. Example: table/my-table/index/my-table-index
.
-
Aurora DB cluster - The resource type is cluster
and the unique identifier is the cluster name. Example: cluster:my-db-cluster
.
-
Amazon SageMaker endpoint variant - The resource type is variant
and the unique identifier is the resource ID. Example: endpoint/my-end-point/variant/KMeansClustering
.
-
Custom resources are not supported with a resource type. This parameter must specify the OutputValue
from the CloudFormation template stack used to access the resources. The unique identifier is defined by the service provider. More information is available in our GitHub repository.
-
Amazon Comprehend document classification endpoint - The resource type and unique identifier are specified using the endpoint ARN. Example: arn:aws:comprehend:us-west-2:123456789012:document-classifier-endpoint/EXAMPLE
.
"
+ "documentation": "The identifier of the resource that is associated with the scalable target. This string consists of the resource type and unique identifier.
-
ECS service - The resource type is service
and the unique identifier is the cluster name and service name. Example: service/default/sample-webapp
.
-
Spot Fleet request - The resource type is spot-fleet-request
and the unique identifier is the Spot Fleet request ID. Example: spot-fleet-request/sfr-73fbd2ce-aa30-494c-8788-1cee4EXAMPLE
.
-
EMR cluster - The resource type is instancegroup
and the unique identifier is the cluster ID and instance group ID. Example: instancegroup/j-2EEZNYKUA1NTV/ig-1791Y4E1L8YI0
.
-
AppStream 2.0 fleet - The resource type is fleet
and the unique identifier is the fleet name. Example: fleet/sample-fleet
.
-
DynamoDB table - The resource type is table
and the unique identifier is the table name. Example: table/my-table
.
-
DynamoDB global secondary index - The resource type is index
and the unique identifier is the index name. Example: table/my-table/index/my-table-index
.
-
Aurora DB cluster - The resource type is cluster
and the unique identifier is the cluster name. Example: cluster:my-db-cluster
.
-
Amazon SageMaker endpoint variant - The resource type is variant
and the unique identifier is the resource ID. Example: endpoint/my-end-point/variant/KMeansClustering
.
-
Custom resources are not supported with a resource type. This parameter must specify the OutputValue
from the CloudFormation template stack used to access the resources. The unique identifier is defined by the service provider. More information is available in our GitHub repository.
-
Amazon Comprehend document classification endpoint - The resource type and unique identifier are specified using the endpoint ARN. Example: arn:aws:comprehend:us-west-2:123456789012:document-classifier-endpoint/EXAMPLE
.
-
Lambda provisioned concurrency - The resource type is function
and the unique identifier is the function name with a function version or alias name suffix that is not $LATEST
. Example: function:my-function:prod
or function:my-function:1
.
"
},
"ScalableDimension": {
"shape": "ScalableDimension",
- "documentation": "The scalable dimension associated with the scalable target. This string consists of the service namespace, resource type, and scaling property.
-
ecs:service:DesiredCount
- The desired task count of an ECS service.
-
ec2:spot-fleet-request:TargetCapacity
- The target capacity of a Spot Fleet request.
-
elasticmapreduce:instancegroup:InstanceCount
- The instance count of an EMR Instance Group.
-
appstream:fleet:DesiredCapacity
- The desired capacity of an AppStream 2.0 fleet.
-
dynamodb:table:ReadCapacityUnits
- The provisioned read capacity for a DynamoDB table.
-
dynamodb:table:WriteCapacityUnits
- The provisioned write capacity for a DynamoDB table.
-
dynamodb:index:ReadCapacityUnits
- The provisioned read capacity for a DynamoDB global secondary index.
-
dynamodb:index:WriteCapacityUnits
- The provisioned write capacity for a DynamoDB global secondary index.
-
rds:cluster:ReadReplicaCount
- The count of Aurora Replicas in an Aurora DB cluster. Available for Aurora MySQL-compatible edition and Aurora PostgreSQL-compatible edition.
-
sagemaker:variant:DesiredInstanceCount
- The number of EC2 instances for an Amazon SageMaker model endpoint variant.
-
custom-resource:ResourceType:Property
- The scalable dimension for a custom resource provided by your own application or service.
-
comprehend:document-classifier-endpoint:DesiredInferenceUnits
- The number of inference units for an Amazon Comprehend document classification endpoint.
"
+ "documentation": "The scalable dimension associated with the scalable target. This string consists of the service namespace, resource type, and scaling property.
-
ecs:service:DesiredCount
- The desired task count of an ECS service.
-
ec2:spot-fleet-request:TargetCapacity
- The target capacity of a Spot Fleet request.
-
elasticmapreduce:instancegroup:InstanceCount
- The instance count of an EMR Instance Group.
-
appstream:fleet:DesiredCapacity
- The desired capacity of an AppStream 2.0 fleet.
-
dynamodb:table:ReadCapacityUnits
- The provisioned read capacity for a DynamoDB table.
-
dynamodb:table:WriteCapacityUnits
- The provisioned write capacity for a DynamoDB table.
-
dynamodb:index:ReadCapacityUnits
- The provisioned read capacity for a DynamoDB global secondary index.
-
dynamodb:index:WriteCapacityUnits
- The provisioned write capacity for a DynamoDB global secondary index.
-
rds:cluster:ReadReplicaCount
- The count of Aurora Replicas in an Aurora DB cluster. Available for Aurora MySQL-compatible edition and Aurora PostgreSQL-compatible edition.
-
sagemaker:variant:DesiredInstanceCount
- The number of EC2 instances for an Amazon SageMaker model endpoint variant.
-
custom-resource:ResourceType:Property
- The scalable dimension for a custom resource provided by your own application or service.
-
comprehend:document-classifier-endpoint:DesiredInferenceUnits
- The number of inference units for an Amazon Comprehend document classification endpoint.
-
lambda:function:ProvisionedConcurrency
- The provisioned concurrency for a Lambda function.
"
},
"MinCapacity": {
"shape": "ResourceCapacity",
@@ -932,7 +933,8 @@
"rds:cluster:ReadReplicaCount",
"sagemaker:variant:DesiredInstanceCount",
"custom-resource:ResourceType:Property",
- "comprehend:document-classifier-endpoint:DesiredInferenceUnits"
+ "comprehend:document-classifier-endpoint:DesiredInferenceUnits",
+ "lambda:function:ProvisionedConcurrency"
]
},
"ScalableTarget": {
@@ -953,11 +955,11 @@
},
"ResourceId": {
"shape": "ResourceIdMaxLen1600",
- "documentation": "The identifier of the resource associated with the scalable target. This string consists of the resource type and unique identifier.
-
ECS service - The resource type is service
and the unique identifier is the cluster name and service name. Example: service/default/sample-webapp
.
-
Spot Fleet request - The resource type is spot-fleet-request
and the unique identifier is the Spot Fleet request ID. Example: spot-fleet-request/sfr-73fbd2ce-aa30-494c-8788-1cee4EXAMPLE
.
-
EMR cluster - The resource type is instancegroup
and the unique identifier is the cluster ID and instance group ID. Example: instancegroup/j-2EEZNYKUA1NTV/ig-1791Y4E1L8YI0
.
-
AppStream 2.0 fleet - The resource type is fleet
and the unique identifier is the fleet name. Example: fleet/sample-fleet
.
-
DynamoDB table - The resource type is table
and the unique identifier is the table name. Example: table/my-table
.
-
DynamoDB global secondary index - The resource type is index
and the unique identifier is the index name. Example: table/my-table/index/my-table-index
.
-
Aurora DB cluster - The resource type is cluster
and the unique identifier is the cluster name. Example: cluster:my-db-cluster
.
-
Amazon SageMaker endpoint variant - The resource type is variant
and the unique identifier is the resource ID. Example: endpoint/my-end-point/variant/KMeansClustering
.
-
Custom resources are not supported with a resource type. This parameter must specify the OutputValue
from the CloudFormation template stack used to access the resources. The unique identifier is defined by the service provider. More information is available in our GitHub repository.
-
Amazon Comprehend document classification endpoint - The resource type and unique identifier are specified using the endpoint ARN. Example: arn:aws:comprehend:us-west-2:123456789012:document-classifier-endpoint/EXAMPLE
.
"
+ "documentation": "The identifier of the resource associated with the scalable target. This string consists of the resource type and unique identifier.
-
ECS service - The resource type is service
and the unique identifier is the cluster name and service name. Example: service/default/sample-webapp
.
-
Spot Fleet request - The resource type is spot-fleet-request
and the unique identifier is the Spot Fleet request ID. Example: spot-fleet-request/sfr-73fbd2ce-aa30-494c-8788-1cee4EXAMPLE
.
-
EMR cluster - The resource type is instancegroup
and the unique identifier is the cluster ID and instance group ID. Example: instancegroup/j-2EEZNYKUA1NTV/ig-1791Y4E1L8YI0
.
-
AppStream 2.0 fleet - The resource type is fleet
and the unique identifier is the fleet name. Example: fleet/sample-fleet
.
-
DynamoDB table - The resource type is table
and the unique identifier is the table name. Example: table/my-table
.
-
DynamoDB global secondary index - The resource type is index
and the unique identifier is the index name. Example: table/my-table/index/my-table-index
.
-
Aurora DB cluster - The resource type is cluster
and the unique identifier is the cluster name. Example: cluster:my-db-cluster
.
-
Amazon SageMaker endpoint variant - The resource type is variant
and the unique identifier is the resource ID. Example: endpoint/my-end-point/variant/KMeansClustering
.
-
Custom resources are not supported with a resource type. This parameter must specify the OutputValue
from the CloudFormation template stack used to access the resources. The unique identifier is defined by the service provider. More information is available in our GitHub repository.
-
Amazon Comprehend document classification endpoint - The resource type and unique identifier are specified using the endpoint ARN. Example: arn:aws:comprehend:us-west-2:123456789012:document-classifier-endpoint/EXAMPLE
.
-
Lambda provisioned concurrency - The resource type is function
and the unique identifier is the function name with a function version or alias name suffix that is not $LATEST
. Example: function:my-function:prod
or function:my-function:1
.
"
},
"ScalableDimension": {
"shape": "ScalableDimension",
- "documentation": "The scalable dimension associated with the scalable target. This string consists of the service namespace, resource type, and scaling property.
-
ecs:service:DesiredCount
- The desired task count of an ECS service.
-
ec2:spot-fleet-request:TargetCapacity
- The target capacity of a Spot Fleet request.
-
elasticmapreduce:instancegroup:InstanceCount
- The instance count of an EMR Instance Group.
-
appstream:fleet:DesiredCapacity
- The desired capacity of an AppStream 2.0 fleet.
-
dynamodb:table:ReadCapacityUnits
- The provisioned read capacity for a DynamoDB table.
-
dynamodb:table:WriteCapacityUnits
- The provisioned write capacity for a DynamoDB table.
-
dynamodb:index:ReadCapacityUnits
- The provisioned read capacity for a DynamoDB global secondary index.
-
dynamodb:index:WriteCapacityUnits
- The provisioned write capacity for a DynamoDB global secondary index.
-
rds:cluster:ReadReplicaCount
- The count of Aurora Replicas in an Aurora DB cluster. Available for Aurora MySQL-compatible edition and Aurora PostgreSQL-compatible edition.
-
sagemaker:variant:DesiredInstanceCount
- The number of EC2 instances for an Amazon SageMaker model endpoint variant.
-
custom-resource:ResourceType:Property
- The scalable dimension for a custom resource provided by your own application or service.
-
comprehend:document-classifier-endpoint:DesiredInferenceUnits
- The number of inference units for an Amazon Comprehend document classification endpoint.
"
+ "documentation": "The scalable dimension associated with the scalable target. This string consists of the service namespace, resource type, and scaling property.
-
ecs:service:DesiredCount
- The desired task count of an ECS service.
-
ec2:spot-fleet-request:TargetCapacity
- The target capacity of a Spot Fleet request.
-
elasticmapreduce:instancegroup:InstanceCount
- The instance count of an EMR Instance Group.
-
appstream:fleet:DesiredCapacity
- The desired capacity of an AppStream 2.0 fleet.
-
dynamodb:table:ReadCapacityUnits
- The provisioned read capacity for a DynamoDB table.
-
dynamodb:table:WriteCapacityUnits
- The provisioned write capacity for a DynamoDB table.
-
dynamodb:index:ReadCapacityUnits
- The provisioned read capacity for a DynamoDB global secondary index.
-
dynamodb:index:WriteCapacityUnits
- The provisioned write capacity for a DynamoDB global secondary index.
-
rds:cluster:ReadReplicaCount
- The count of Aurora Replicas in an Aurora DB cluster. Available for Aurora MySQL-compatible edition and Aurora PostgreSQL-compatible edition.
-
sagemaker:variant:DesiredInstanceCount
- The number of EC2 instances for an Amazon SageMaker model endpoint variant.
-
custom-resource:ResourceType:Property
- The scalable dimension for a custom resource provided by your own application or service.
-
comprehend:document-classifier-endpoint:DesiredInferenceUnits
- The number of inference units for an Amazon Comprehend document classification endpoint.
-
lambda:function:ProvisionedConcurrency
- The provisioned concurrency for a Lambda function.
"
},
"MinCapacity": {
"shape": "ResourceCapacity",
@@ -1030,11 +1032,11 @@
},
"ResourceId": {
"shape": "ResourceIdMaxLen1600",
- "documentation": "The identifier of the resource associated with the scaling activity. This string consists of the resource type and unique identifier.
-
ECS service - The resource type is service
and the unique identifier is the cluster name and service name. Example: service/default/sample-webapp
.
-
Spot Fleet request - The resource type is spot-fleet-request
and the unique identifier is the Spot Fleet request ID. Example: spot-fleet-request/sfr-73fbd2ce-aa30-494c-8788-1cee4EXAMPLE
.
-
EMR cluster - The resource type is instancegroup
and the unique identifier is the cluster ID and instance group ID. Example: instancegroup/j-2EEZNYKUA1NTV/ig-1791Y4E1L8YI0
.
-
AppStream 2.0 fleet - The resource type is fleet
and the unique identifier is the fleet name. Example: fleet/sample-fleet
.
-
DynamoDB table - The resource type is table
and the unique identifier is the table name. Example: table/my-table
.
-
DynamoDB global secondary index - The resource type is index
and the unique identifier is the index name. Example: table/my-table/index/my-table-index
.
-
Aurora DB cluster - The resource type is cluster
and the unique identifier is the cluster name. Example: cluster:my-db-cluster
.
-
Amazon SageMaker endpoint variant - The resource type is variant
and the unique identifier is the resource ID. Example: endpoint/my-end-point/variant/KMeansClustering
.
-
Custom resources are not supported with a resource type. This parameter must specify the OutputValue
from the CloudFormation template stack used to access the resources. The unique identifier is defined by the service provider. More information is available in our GitHub repository.
-
Amazon Comprehend document classification endpoint - The resource type and unique identifier are specified using the endpoint ARN. Example: arn:aws:comprehend:us-west-2:123456789012:document-classifier-endpoint/EXAMPLE
.
"
+ "documentation": "The identifier of the resource associated with the scaling activity. This string consists of the resource type and unique identifier.
-
ECS service - The resource type is service
and the unique identifier is the cluster name and service name. Example: service/default/sample-webapp
.
-
Spot Fleet request - The resource type is spot-fleet-request
and the unique identifier is the Spot Fleet request ID. Example: spot-fleet-request/sfr-73fbd2ce-aa30-494c-8788-1cee4EXAMPLE
.
-
EMR cluster - The resource type is instancegroup
and the unique identifier is the cluster ID and instance group ID. Example: instancegroup/j-2EEZNYKUA1NTV/ig-1791Y4E1L8YI0
.
-
AppStream 2.0 fleet - The resource type is fleet
and the unique identifier is the fleet name. Example: fleet/sample-fleet
.
-
DynamoDB table - The resource type is table
and the unique identifier is the table name. Example: table/my-table
.
-
DynamoDB global secondary index - The resource type is index
and the unique identifier is the index name. Example: table/my-table/index/my-table-index
.
-
Aurora DB cluster - The resource type is cluster
and the unique identifier is the cluster name. Example: cluster:my-db-cluster
.
-
Amazon SageMaker endpoint variant - The resource type is variant
and the unique identifier is the resource ID. Example: endpoint/my-end-point/variant/KMeansClustering
.
-
Custom resources are not supported with a resource type. This parameter must specify the OutputValue
from the CloudFormation template stack used to access the resources. The unique identifier is defined by the service provider. More information is available in our GitHub repository.
-
Amazon Comprehend document classification endpoint - The resource type and unique identifier are specified using the endpoint ARN. Example: arn:aws:comprehend:us-west-2:123456789012:document-classifier-endpoint/EXAMPLE
.
-
Lambda provisioned concurrency - The resource type is function
and the unique identifier is the function name with a function version or alias name suffix that is not $LATEST
. Example: function:my-function:prod
or function:my-function:1
.
"
},
"ScalableDimension": {
"shape": "ScalableDimension",
- "documentation": "The scalable dimension. This string consists of the service namespace, resource type, and scaling property.
-
ecs:service:DesiredCount
- The desired task count of an ECS service.
-
ec2:spot-fleet-request:TargetCapacity
- The target capacity of a Spot Fleet request.
-
elasticmapreduce:instancegroup:InstanceCount
- The instance count of an EMR Instance Group.
-
appstream:fleet:DesiredCapacity
- The desired capacity of an AppStream 2.0 fleet.
-
dynamodb:table:ReadCapacityUnits
- The provisioned read capacity for a DynamoDB table.
-
dynamodb:table:WriteCapacityUnits
- The provisioned write capacity for a DynamoDB table.
-
dynamodb:index:ReadCapacityUnits
- The provisioned read capacity for a DynamoDB global secondary index.
-
dynamodb:index:WriteCapacityUnits
- The provisioned write capacity for a DynamoDB global secondary index.
-
rds:cluster:ReadReplicaCount
- The count of Aurora Replicas in an Aurora DB cluster. Available for Aurora MySQL-compatible edition and Aurora PostgreSQL-compatible edition.
-
sagemaker:variant:DesiredInstanceCount
- The number of EC2 instances for an Amazon SageMaker model endpoint variant.
-
custom-resource:ResourceType:Property
- The scalable dimension for a custom resource provided by your own application or service.
-
comprehend:document-classifier-endpoint:DesiredInferenceUnits
- The number of inference units for an Amazon Comprehend document classification endpoint.
"
+ "documentation": "The scalable dimension. This string consists of the service namespace, resource type, and scaling property.
-
ecs:service:DesiredCount
- The desired task count of an ECS service.
-
ec2:spot-fleet-request:TargetCapacity
- The target capacity of a Spot Fleet request.
-
elasticmapreduce:instancegroup:InstanceCount
- The instance count of an EMR Instance Group.
-
appstream:fleet:DesiredCapacity
- The desired capacity of an AppStream 2.0 fleet.
-
dynamodb:table:ReadCapacityUnits
- The provisioned read capacity for a DynamoDB table.
-
dynamodb:table:WriteCapacityUnits
- The provisioned write capacity for a DynamoDB table.
-
dynamodb:index:ReadCapacityUnits
- The provisioned read capacity for a DynamoDB global secondary index.
-
dynamodb:index:WriteCapacityUnits
- The provisioned write capacity for a DynamoDB global secondary index.
-
rds:cluster:ReadReplicaCount
- The count of Aurora Replicas in an Aurora DB cluster. Available for Aurora MySQL-compatible edition and Aurora PostgreSQL-compatible edition.
-
sagemaker:variant:DesiredInstanceCount
- The number of EC2 instances for an Amazon SageMaker model endpoint variant.
-
custom-resource:ResourceType:Property
- The scalable dimension for a custom resource provided by your own application or service.
-
comprehend:document-classifier-endpoint:DesiredInferenceUnits
- The number of inference units for an Amazon Comprehend document classification endpoint.
-
lambda:function:ProvisionedConcurrency
- The provisioned concurrency for a Lambda function.
"
},
"Description": {
"shape": "XmlString",
@@ -1113,11 +1115,11 @@
},
"ResourceId": {
"shape": "ResourceIdMaxLen1600",
- "documentation": "The identifier of the resource associated with the scaling policy. This string consists of the resource type and unique identifier.
-
ECS service - The resource type is service
and the unique identifier is the cluster name and service name. Example: service/default/sample-webapp
.
-
Spot Fleet request - The resource type is spot-fleet-request
and the unique identifier is the Spot Fleet request ID. Example: spot-fleet-request/sfr-73fbd2ce-aa30-494c-8788-1cee4EXAMPLE
.
-
EMR cluster - The resource type is instancegroup
and the unique identifier is the cluster ID and instance group ID. Example: instancegroup/j-2EEZNYKUA1NTV/ig-1791Y4E1L8YI0
.
-
AppStream 2.0 fleet - The resource type is fleet
and the unique identifier is the fleet name. Example: fleet/sample-fleet
.
-
DynamoDB table - The resource type is table
and the unique identifier is the table name. Example: table/my-table
.
-
DynamoDB global secondary index - The resource type is index
and the unique identifier is the index name. Example: table/my-table/index/my-table-index
.
-
Aurora DB cluster - The resource type is cluster
and the unique identifier is the cluster name. Example: cluster:my-db-cluster
.
-
Amazon SageMaker endpoint variant - The resource type is variant
and the unique identifier is the resource ID. Example: endpoint/my-end-point/variant/KMeansClustering
.
-
Custom resources are not supported with a resource type. This parameter must specify the OutputValue
from the CloudFormation template stack used to access the resources. The unique identifier is defined by the service provider. More information is available in our GitHub repository.
-
Amazon Comprehend document classification endpoint - The resource type and unique identifier are specified using the endpoint ARN. Example: arn:aws:comprehend:us-west-2:123456789012:document-classifier-endpoint/EXAMPLE
.
"
+ "documentation": "The identifier of the resource associated with the scaling policy. This string consists of the resource type and unique identifier.
-
ECS service - The resource type is service
and the unique identifier is the cluster name and service name. Example: service/default/sample-webapp
.
-
Spot Fleet request - The resource type is spot-fleet-request
and the unique identifier is the Spot Fleet request ID. Example: spot-fleet-request/sfr-73fbd2ce-aa30-494c-8788-1cee4EXAMPLE
.
-
EMR cluster - The resource type is instancegroup
and the unique identifier is the cluster ID and instance group ID. Example: instancegroup/j-2EEZNYKUA1NTV/ig-1791Y4E1L8YI0
.
-
AppStream 2.0 fleet - The resource type is fleet
and the unique identifier is the fleet name. Example: fleet/sample-fleet
.
-
DynamoDB table - The resource type is table
and the unique identifier is the table name. Example: table/my-table
.
-
DynamoDB global secondary index - The resource type is index
and the unique identifier is the index name. Example: table/my-table/index/my-table-index
.
-
Aurora DB cluster - The resource type is cluster
and the unique identifier is the cluster name. Example: cluster:my-db-cluster
.
-
Amazon SageMaker endpoint variant - The resource type is variant
and the unique identifier is the resource ID. Example: endpoint/my-end-point/variant/KMeansClustering
.
-
Custom resources are not supported with a resource type. This parameter must specify the OutputValue
from the CloudFormation template stack used to access the resources. The unique identifier is defined by the service provider. More information is available in our GitHub repository.
-
Amazon Comprehend document classification endpoint - The resource type and unique identifier are specified using the endpoint ARN. Example: arn:aws:comprehend:us-west-2:123456789012:document-classifier-endpoint/EXAMPLE
.
-
Lambda provisioned concurrency - The resource type is function
and the unique identifier is the function name with a function version or alias name suffix that is not $LATEST
. Example: function:my-function:prod
or function:my-function:1
.
"
},
"ScalableDimension": {
"shape": "ScalableDimension",
- "documentation": "The scalable dimension. This string consists of the service namespace, resource type, and scaling property.
-
ecs:service:DesiredCount
- The desired task count of an ECS service.
-
ec2:spot-fleet-request:TargetCapacity
- The target capacity of a Spot Fleet request.
-
elasticmapreduce:instancegroup:InstanceCount
- The instance count of an EMR Instance Group.
-
appstream:fleet:DesiredCapacity
- The desired capacity of an AppStream 2.0 fleet.
-
dynamodb:table:ReadCapacityUnits
- The provisioned read capacity for a DynamoDB table.
-
dynamodb:table:WriteCapacityUnits
- The provisioned write capacity for a DynamoDB table.
-
dynamodb:index:ReadCapacityUnits
- The provisioned read capacity for a DynamoDB global secondary index.
-
dynamodb:index:WriteCapacityUnits
- The provisioned write capacity for a DynamoDB global secondary index.
-
rds:cluster:ReadReplicaCount
- The count of Aurora Replicas in an Aurora DB cluster. Available for Aurora MySQL-compatible edition and Aurora PostgreSQL-compatible edition.
-
sagemaker:variant:DesiredInstanceCount
- The number of EC2 instances for an Amazon SageMaker model endpoint variant.
-
custom-resource:ResourceType:Property
- The scalable dimension for a custom resource provided by your own application or service.
-
comprehend:document-classifier-endpoint:DesiredInferenceUnits
- The number of inference units for an Amazon Comprehend document classification endpoint.
"
+ "documentation": "The scalable dimension. This string consists of the service namespace, resource type, and scaling property.
-
ecs:service:DesiredCount
- The desired task count of an ECS service.
-
ec2:spot-fleet-request:TargetCapacity
- The target capacity of a Spot Fleet request.
-
elasticmapreduce:instancegroup:InstanceCount
- The instance count of an EMR Instance Group.
-
appstream:fleet:DesiredCapacity
- The desired capacity of an AppStream 2.0 fleet.
-
dynamodb:table:ReadCapacityUnits
- The provisioned read capacity for a DynamoDB table.
-
dynamodb:table:WriteCapacityUnits
- The provisioned write capacity for a DynamoDB table.
-
dynamodb:index:ReadCapacityUnits
- The provisioned read capacity for a DynamoDB global secondary index.
-
dynamodb:index:WriteCapacityUnits
- The provisioned write capacity for a DynamoDB global secondary index.
-
rds:cluster:ReadReplicaCount
- The count of Aurora Replicas in an Aurora DB cluster. Available for Aurora MySQL-compatible edition and Aurora PostgreSQL-compatible edition.
-
sagemaker:variant:DesiredInstanceCount
- The number of EC2 instances for an Amazon SageMaker model endpoint variant.
-
custom-resource:ResourceType:Property
- The scalable dimension for a custom resource provided by your own application or service.
-
comprehend:document-classifier-endpoint:DesiredInferenceUnits
- The number of inference units for an Amazon Comprehend document classification endpoint.
-
lambda:function:ProvisionedConcurrency
- The provisioned concurrency for a Lambda function.
"
},
"PolicyType": {
"shape": "PolicyType",
@@ -1174,11 +1176,11 @@
},
"ResourceId": {
"shape": "ResourceIdMaxLen1600",
- "documentation": "The identifier of the resource associated with the scaling policy. This string consists of the resource type and unique identifier.
-
ECS service - The resource type is service
and the unique identifier is the cluster name and service name. Example: service/default/sample-webapp
.
-
Spot Fleet request - The resource type is spot-fleet-request
and the unique identifier is the Spot Fleet request ID. Example: spot-fleet-request/sfr-73fbd2ce-aa30-494c-8788-1cee4EXAMPLE
.
-
EMR cluster - The resource type is instancegroup
and the unique identifier is the cluster ID and instance group ID. Example: instancegroup/j-2EEZNYKUA1NTV/ig-1791Y4E1L8YI0
.
-
AppStream 2.0 fleet - The resource type is fleet
and the unique identifier is the fleet name. Example: fleet/sample-fleet
.
-
DynamoDB table - The resource type is table
and the unique identifier is the table name. Example: table/my-table
.
-
DynamoDB global secondary index - The resource type is index
and the unique identifier is the index name. Example: table/my-table/index/my-table-index
.
-
Aurora DB cluster - The resource type is cluster
and the unique identifier is the cluster name. Example: cluster:my-db-cluster
.
-
Amazon SageMaker endpoint variant - The resource type is variant
and the unique identifier is the resource ID. Example: endpoint/my-end-point/variant/KMeansClustering
.
-
Custom resources are not supported with a resource type. This parameter must specify the OutputValue
from the CloudFormation template stack used to access the resources. The unique identifier is defined by the service provider. More information is available in our GitHub repository.
-
Amazon Comprehend document classification endpoint - The resource type and unique identifier are specified using the endpoint ARN. Example: arn:aws:comprehend:us-west-2:123456789012:document-classifier-endpoint/EXAMPLE
.
"
+ "documentation": "The identifier of the resource associated with the scaling policy. This string consists of the resource type and unique identifier.
-
ECS service - The resource type is service
and the unique identifier is the cluster name and service name. Example: service/default/sample-webapp
.
-
Spot Fleet request - The resource type is spot-fleet-request
and the unique identifier is the Spot Fleet request ID. Example: spot-fleet-request/sfr-73fbd2ce-aa30-494c-8788-1cee4EXAMPLE
.
-
EMR cluster - The resource type is instancegroup
and the unique identifier is the cluster ID and instance group ID. Example: instancegroup/j-2EEZNYKUA1NTV/ig-1791Y4E1L8YI0
.
-
AppStream 2.0 fleet - The resource type is fleet
and the unique identifier is the fleet name. Example: fleet/sample-fleet
.
-
DynamoDB table - The resource type is table
and the unique identifier is the table name. Example: table/my-table
.
-
DynamoDB global secondary index - The resource type is index
and the unique identifier is the index name. Example: table/my-table/index/my-table-index
.
-
Aurora DB cluster - The resource type is cluster
and the unique identifier is the cluster name. Example: cluster:my-db-cluster
.
-
Amazon SageMaker endpoint variant - The resource type is variant
and the unique identifier is the resource ID. Example: endpoint/my-end-point/variant/KMeansClustering
.
-
Custom resources are not supported with a resource type. This parameter must specify the OutputValue
from the CloudFormation template stack used to access the resources. The unique identifier is defined by the service provider. More information is available in our GitHub repository.
-
Amazon Comprehend document classification endpoint - The resource type and unique identifier are specified using the endpoint ARN. Example: arn:aws:comprehend:us-west-2:123456789012:document-classifier-endpoint/EXAMPLE
.
-
Lambda provisioned concurrency - The resource type is function
and the unique identifier is the function name with a function version or alias name suffix that is not $LATEST
. Example: function:my-function:prod
or function:my-function:1
.
"
},
"ScalableDimension": {
"shape": "ScalableDimension",
- "documentation": "The scalable dimension. This string consists of the service namespace, resource type, and scaling property.
-
ecs:service:DesiredCount
- The desired task count of an ECS service.
-
ec2:spot-fleet-request:TargetCapacity
- The target capacity of a Spot Fleet request.
-
elasticmapreduce:instancegroup:InstanceCount
- The instance count of an EMR Instance Group.
-
appstream:fleet:DesiredCapacity
- The desired capacity of an AppStream 2.0 fleet.
-
dynamodb:table:ReadCapacityUnits
- The provisioned read capacity for a DynamoDB table.
-
dynamodb:table:WriteCapacityUnits
- The provisioned write capacity for a DynamoDB table.
-
dynamodb:index:ReadCapacityUnits
- The provisioned read capacity for a DynamoDB global secondary index.
-
dynamodb:index:WriteCapacityUnits
- The provisioned write capacity for a DynamoDB global secondary index.
-
rds:cluster:ReadReplicaCount
- The count of Aurora Replicas in an Aurora DB cluster. Available for Aurora MySQL-compatible edition and Aurora PostgreSQL-compatible edition.
-
sagemaker:variant:DesiredInstanceCount
- The number of EC2 instances for an Amazon SageMaker model endpoint variant.
-
custom-resource:ResourceType:Property
- The scalable dimension for a custom resource provided by your own application or service.
-
comprehend:document-classifier-endpoint:DesiredInferenceUnits
- The number of inference units for an Amazon Comprehend document classification endpoint.
"
+ "documentation": "The scalable dimension. This string consists of the service namespace, resource type, and scaling property.
-
ecs:service:DesiredCount
- The desired task count of an ECS service.
-
ec2:spot-fleet-request:TargetCapacity
- The target capacity of a Spot Fleet request.
-
elasticmapreduce:instancegroup:InstanceCount
- The instance count of an EMR Instance Group.
-
appstream:fleet:DesiredCapacity
- The desired capacity of an AppStream 2.0 fleet.
-
dynamodb:table:ReadCapacityUnits
- The provisioned read capacity for a DynamoDB table.
-
dynamodb:table:WriteCapacityUnits
- The provisioned write capacity for a DynamoDB table.
-
dynamodb:index:ReadCapacityUnits
- The provisioned read capacity for a DynamoDB global secondary index.
-
dynamodb:index:WriteCapacityUnits
- The provisioned write capacity for a DynamoDB global secondary index.
-
rds:cluster:ReadReplicaCount
- The count of Aurora Replicas in an Aurora DB cluster. Available for Aurora MySQL-compatible edition and Aurora PostgreSQL-compatible edition.
-
sagemaker:variant:DesiredInstanceCount
- The number of EC2 instances for an Amazon SageMaker model endpoint variant.
-
custom-resource:ResourceType:Property
- The scalable dimension for a custom resource provided by your own application or service.
-
comprehend:document-classifier-endpoint:DesiredInferenceUnits
- The number of inference units for an Amazon Comprehend document classification endpoint.
-
lambda:function:ProvisionedConcurrency
- The provisioned concurrency for a Lambda function.
"
},
"StartTime": {
"shape": "TimestampType",
@@ -1222,7 +1224,8 @@
"rds",
"sagemaker",
"custom-resource",
- "comprehend"
+ "comprehend",
+ "lambda"
]
},
"StepAdjustment": {
@@ -1337,5 +1340,5 @@
"pattern": "[\\u0020-\\uD7FF\\uE000-\\uFFFD\\uD800\\uDC00-\\uDBFF\\uDFFF\\r\\n\\t]*"
}
},
- "documentation": "With Application Auto Scaling, you can configure automatic scaling for the following resources:
-
Amazon ECS services
-
Amazon EC2 Spot Fleet requests
-
Amazon EMR clusters
-
Amazon AppStream 2.0 fleets
-
Amazon DynamoDB tables and global secondary indexes throughput capacity
-
Amazon Aurora Replicas
-
Amazon SageMaker endpoint variants
-
Custom resources provided by your own applications or services
-
Amazon Comprehend document classification endpoints
API Summary
The Application Auto Scaling service API includes three key sets of actions:
-
Register and manage scalable targets - Register AWS or custom resources as scalable targets (a resource that Application Auto Scaling can scale), set minimum and maximum capacity limits, and retrieve information on existing scalable targets.
-
Configure and manage automatic scaling - Define scaling policies to dynamically scale your resources in response to CloudWatch alarms, schedule one-time or recurring scaling actions, and retrieve your recent scaling activity history.
-
Suspend and resume scaling - Temporarily suspend and later resume automatic scaling by calling the RegisterScalableTarget action for any Application Auto Scaling scalable target. You can suspend and resume, individually or in combination, scale-out activities triggered by a scaling policy, scale-in activities triggered by a scaling policy, and scheduled scaling.
To learn more about Application Auto Scaling, including information about granting IAM users required permissions for Application Auto Scaling actions, see the Application Auto Scaling User Guide.
"
+ "documentation": "With Application Auto Scaling, you can configure automatic scaling for the following resources:
-
Amazon ECS services
-
Amazon EC2 Spot Fleet requests
-
Amazon EMR clusters
-
Amazon AppStream 2.0 fleets
-
Amazon DynamoDB tables and global secondary indexes throughput capacity
-
Amazon Aurora Replicas
-
Amazon SageMaker endpoint variants
-
Custom resources provided by your own applications or services
-
Amazon Comprehend document classification endpoints
-
AWS Lambda function provisioned concurrency
API Summary
The Application Auto Scaling service API includes three key sets of actions:
-
Register and manage scalable targets - Register AWS or custom resources as scalable targets (a resource that Application Auto Scaling can scale), set minimum and maximum capacity limits, and retrieve information on existing scalable targets.
-
Configure and manage automatic scaling - Define scaling policies to dynamically scale your resources in response to CloudWatch alarms, schedule one-time or recurring scaling actions, and retrieve your recent scaling activity history.
-
Suspend and resume scaling - Temporarily suspend and later resume automatic scaling by calling the RegisterScalableTarget action for any Application Auto Scaling scalable target. You can suspend and resume, individually or in combination, scale-out activities triggered by a scaling policy, scale-in activities triggered by a scaling policy, and scheduled scaling.
To learn more about Application Auto Scaling, including information about granting IAM users required permissions for Application Auto Scaling actions, see the Application Auto Scaling User Guide.
"
}
\ No newline at end of file
diff --git a/apis/ebs-2019-11-02.examples.json b/apis/ebs-2019-11-02.examples.json
new file mode 100644
index 0000000000..0ea7e3b0bb
--- /dev/null
+++ b/apis/ebs-2019-11-02.examples.json
@@ -0,0 +1,5 @@
+{
+ "version": "1.0",
+ "examples": {
+ }
+}
diff --git a/apis/ebs-2019-11-02.min.json b/apis/ebs-2019-11-02.min.json
new file mode 100644
index 0000000000..b3c21f4a0c
--- /dev/null
+++ b/apis/ebs-2019-11-02.min.json
@@ -0,0 +1,195 @@
+{
+ "version": "2.0",
+ "metadata": {
+ "apiVersion": "2019-11-02",
+ "endpointPrefix": "ebs",
+ "jsonVersion": "1.1",
+ "protocol": "rest-json",
+ "serviceAbbreviation": "Amazon EBS",
+ "serviceFullName": "Amazon Elastic Block Store",
+ "serviceId": "EBS",
+ "signatureVersion": "v4",
+ "uid": "ebs-2019-11-02"
+ },
+ "operations": {
+ "GetSnapshotBlock": {
+ "http": {
+ "method": "GET",
+ "requestUri": "/snapshots/{snapshotId}/blocks/{blockIndex}"
+ },
+ "input": {
+ "type": "structure",
+ "required": [
+ "SnapshotId",
+ "BlockIndex",
+ "BlockToken"
+ ],
+ "members": {
+ "SnapshotId": {
+ "location": "uri",
+ "locationName": "snapshotId"
+ },
+ "BlockIndex": {
+ "location": "uri",
+ "locationName": "blockIndex",
+ "type": "integer"
+ },
+ "BlockToken": {
+ "location": "querystring",
+ "locationName": "blockToken"
+ }
+ }
+ },
+ "output": {
+ "type": "structure",
+ "members": {
+ "DataLength": {
+ "location": "header",
+ "locationName": "x-amz-Data-Length",
+ "type": "integer"
+ },
+ "BlockData": {
+ "type": "blob",
+ "sensitive": true,
+ "streaming": true
+ },
+ "Checksum": {
+ "location": "header",
+ "locationName": "x-amz-Checksum"
+ },
+ "ChecksumAlgorithm": {
+ "location": "header",
+ "locationName": "x-amz-Checksum-Algorithm"
+ }
+ },
+ "payload": "BlockData"
+ }
+ },
+ "ListChangedBlocks": {
+ "http": {
+ "method": "GET",
+ "requestUri": "/snapshots/{secondSnapshotId}/changedblocks"
+ },
+ "input": {
+ "type": "structure",
+ "required": [
+ "SecondSnapshotId"
+ ],
+ "members": {
+ "FirstSnapshotId": {
+ "location": "querystring",
+ "locationName": "firstSnapshotId"
+ },
+ "SecondSnapshotId": {
+ "location": "uri",
+ "locationName": "secondSnapshotId"
+ },
+ "NextToken": {
+ "location": "querystring",
+ "locationName": "pageToken"
+ },
+ "MaxResults": {
+ "location": "querystring",
+ "locationName": "maxResults",
+ "type": "integer"
+ },
+ "StartingBlockIndex": {
+ "location": "querystring",
+ "locationName": "startingBlockIndex",
+ "type": "integer"
+ }
+ }
+ },
+ "output": {
+ "type": "structure",
+ "members": {
+ "ChangedBlocks": {
+ "type": "list",
+ "member": {
+ "type": "structure",
+ "members": {
+ "BlockIndex": {
+ "type": "integer"
+ },
+ "FirstBlockToken": {},
+ "SecondBlockToken": {}
+ },
+ "sensitive": true
+ }
+ },
+ "ExpiryTime": {
+ "type": "timestamp"
+ },
+ "VolumeSize": {
+ "type": "long"
+ },
+ "BlockSize": {
+ "type": "integer"
+ },
+ "NextToken": {}
+ }
+ }
+ },
+ "ListSnapshotBlocks": {
+ "http": {
+ "method": "GET",
+ "requestUri": "/snapshots/{snapshotId}/blocks"
+ },
+ "input": {
+ "type": "structure",
+ "required": [
+ "SnapshotId"
+ ],
+ "members": {
+ "SnapshotId": {
+ "location": "uri",
+ "locationName": "snapshotId"
+ },
+ "NextToken": {
+ "location": "querystring",
+ "locationName": "pageToken"
+ },
+ "MaxResults": {
+ "location": "querystring",
+ "locationName": "maxResults",
+ "type": "integer"
+ },
+ "StartingBlockIndex": {
+ "location": "querystring",
+ "locationName": "startingBlockIndex",
+ "type": "integer"
+ }
+ }
+ },
+ "output": {
+ "type": "structure",
+ "members": {
+ "Blocks": {
+ "type": "list",
+ "member": {
+ "type": "structure",
+ "members": {
+ "BlockIndex": {
+ "type": "integer"
+ },
+ "BlockToken": {}
+ }
+ },
+ "sensitive": true
+ },
+ "ExpiryTime": {
+ "type": "timestamp"
+ },
+ "VolumeSize": {
+ "type": "long"
+ },
+ "BlockSize": {
+ "type": "integer"
+ },
+ "NextToken": {}
+ }
+ }
+ }
+ },
+ "shapes": {}
+}
\ No newline at end of file
diff --git a/apis/ebs-2019-11-02.normal.json b/apis/ebs-2019-11-02.normal.json
new file mode 100644
index 0000000000..3ef9e73f65
--- /dev/null
+++ b/apis/ebs-2019-11-02.normal.json
@@ -0,0 +1,359 @@
+{
+ "version": "2.0",
+ "metadata": {
+ "apiVersion": "2019-11-02",
+ "endpointPrefix": "ebs",
+ "jsonVersion": "1.1",
+ "protocol": "rest-json",
+ "serviceAbbreviation": "Amazon EBS",
+ "serviceFullName": "Amazon Elastic Block Store",
+ "serviceId": "EBS",
+ "signatureVersion": "v4",
+ "uid": "ebs-2019-11-02"
+ },
+ "operations": {
+ "GetSnapshotBlock": {
+ "name": "GetSnapshotBlock",
+ "http": {
+ "method": "GET",
+ "requestUri": "/snapshots/{snapshotId}/blocks/{blockIndex}"
+ },
+ "input": {
+ "shape": "GetSnapshotBlockRequest"
+ },
+ "output": {
+ "shape": "GetSnapshotBlockResponse"
+ },
+ "errors": [
+ {
+ "shape": "ValidationException"
+ },
+ {
+ "shape": "ResourceNotFoundException"
+ }
+ ],
+ "documentation": "Returns the data in a block in an Amazon Elastic Block Store snapshot.
"
+ },
+ "ListChangedBlocks": {
+ "name": "ListChangedBlocks",
+ "http": {
+ "method": "GET",
+ "requestUri": "/snapshots/{secondSnapshotId}/changedblocks"
+ },
+ "input": {
+ "shape": "ListChangedBlocksRequest"
+ },
+ "output": {
+ "shape": "ListChangedBlocksResponse"
+ },
+ "errors": [
+ {
+ "shape": "ValidationException"
+ },
+ {
+ "shape": "ResourceNotFoundException"
+ }
+ ],
+ "documentation": "Returns the block indexes and block tokens for blocks that are different between two Amazon Elastic Block Store snapshots of the same volume/snapshot lineage.
"
+ },
+ "ListSnapshotBlocks": {
+ "name": "ListSnapshotBlocks",
+ "http": {
+ "method": "GET",
+ "requestUri": "/snapshots/{snapshotId}/blocks"
+ },
+ "input": {
+ "shape": "ListSnapshotBlocksRequest"
+ },
+ "output": {
+ "shape": "ListSnapshotBlocksResponse"
+ },
+ "errors": [
+ {
+ "shape": "ValidationException"
+ },
+ {
+ "shape": "ResourceNotFoundException"
+ }
+ ],
+ "documentation": "Returns the block indexes and block tokens for blocks in an Amazon Elastic Block Store snapshot.
"
+ }
+ },
+ "shapes": {
+ "Block": {
+ "type": "structure",
+ "members": {
+ "BlockIndex": {
+ "shape": "BlockIndex",
+ "documentation": "The block index.
"
+ },
+ "BlockToken": {
+ "shape": "BlockToken",
+ "documentation": "The block token for the block index.
"
+ }
+ },
+ "documentation": "A block of data in an Amazon Elastic Block Store snapshot.
"
+ },
+ "BlockData": {
+ "type": "blob",
+ "sensitive": true,
+ "streaming": true
+ },
+ "BlockIndex": {
+ "type": "integer"
+ },
+ "BlockSize": {
+ "type": "integer"
+ },
+ "BlockToken": {
+ "type": "string",
+ "max": 256,
+ "pattern": "^[A-Za-z0-9+/=]+$"
+ },
+ "Blocks": {
+ "type": "list",
+ "member": {
+ "shape": "Block"
+ },
+ "sensitive": true
+ },
+ "ChangedBlock": {
+ "type": "structure",
+ "members": {
+ "BlockIndex": {
+ "shape": "BlockIndex",
+ "documentation": "The block index.
"
+ },
+ "FirstBlockToken": {
+ "shape": "BlockToken",
+ "documentation": "The block token for the block index of the first snapshot ID
specified in the list changed blocks
operation. This value is absent if the first snapshot does not have the changed block that is on the second snapshot.
"
+ },
+ "SecondBlockToken": {
+ "shape": "BlockToken",
+ "documentation": "The block token for the block index of the second snapshot ID
specified in the list changed blocks
operation.
"
+ }
+ },
+ "documentation": "A block of data in an Amazon Elastic Block Store snapshot that is different from another snapshot of the same volume/snapshot lineage.
",
+ "sensitive": true
+ },
+ "ChangedBlocks": {
+ "type": "list",
+ "member": {
+ "shape": "ChangedBlock"
+ }
+ },
+ "Checksum": {
+ "type": "string",
+ "max": 64
+ },
+ "ChecksumAlgorithm": {
+ "type": "string",
+ "enum": [
+ "SHA256"
+ ],
+ "max": 32
+ },
+ "DataLength": {
+ "type": "integer"
+ },
+ "GetSnapshotBlockRequest": {
+ "type": "structure",
+ "required": [
+ "SnapshotId",
+ "BlockIndex",
+ "BlockToken"
+ ],
+ "members": {
+ "SnapshotId": {
+ "shape": "SnapshotId",
+ "documentation": "The ID of the snapshot containing the block from which to get data.
",
+ "location": "uri",
+ "locationName": "snapshotId"
+ },
+ "BlockIndex": {
+ "shape": "BlockIndex",
+ "documentation": "The block index of the block from which to get data.
Obtain the block index
by running the list changed blocks
or list snapshot blocks
operations.
",
+ "location": "uri",
+ "locationName": "blockIndex"
+ },
+ "BlockToken": {
+ "shape": "BlockToken",
+ "documentation": "The block token of the block from which to get data.
Obtain the block token
by running the list changed blocks
or list snapshot blocks
operations.
",
+ "location": "querystring",
+ "locationName": "blockToken"
+ }
+ }
+ },
+ "GetSnapshotBlockResponse": {
+ "type": "structure",
+ "members": {
+ "DataLength": {
+ "shape": "DataLength",
+ "documentation": "The size of the data in the block.
",
+ "location": "header",
+ "locationName": "x-amz-Data-Length"
+ },
+ "BlockData": {
+ "shape": "BlockData",
+ "documentation": "The data content of the block.
"
+ },
+ "Checksum": {
+ "shape": "Checksum",
+ "documentation": "The checksum generated for the block.
",
+ "location": "header",
+ "locationName": "x-amz-Checksum"
+ },
+ "ChecksumAlgorithm": {
+ "shape": "ChecksumAlgorithm",
+ "documentation": "The algorithm used to generate the checksum for the block, such as SHA256.
",
+ "location": "header",
+ "locationName": "x-amz-Checksum-Algorithm"
+ }
+ },
+ "payload": "BlockData"
+ },
+ "ListChangedBlocksRequest": {
+ "type": "structure",
+ "required": [
+ "SecondSnapshotId"
+ ],
+ "members": {
+ "FirstSnapshotId": {
+ "shape": "SnapshotId",
+ "documentation": "The ID of the first snapshot to use for the comparison.
",
+ "location": "querystring",
+ "locationName": "firstSnapshotId"
+ },
+ "SecondSnapshotId": {
+ "shape": "SnapshotId",
+ "documentation": "The ID of the second snapshot to use for the comparison.
",
+ "location": "uri",
+ "locationName": "secondSnapshotId"
+ },
+ "NextToken": {
+ "shape": "PageToken",
+ "documentation": "The token to request the next page of results.
",
+ "location": "querystring",
+ "locationName": "pageToken"
+ },
+ "MaxResults": {
+ "shape": "MaxResults",
+ "documentation": "The number of results to return.
",
+ "location": "querystring",
+ "locationName": "maxResults"
+ },
+ "StartingBlockIndex": {
+ "shape": "BlockIndex",
+ "documentation": "The block index from which the comparison should start.
The list in the response will start from this block index or the next valid block index in the snapshots.
",
+ "location": "querystring",
+ "locationName": "startingBlockIndex"
+ }
+ }
+ },
+ "ListChangedBlocksResponse": {
+ "type": "structure",
+ "members": {
+ "ChangedBlocks": {
+ "shape": "ChangedBlocks",
+ "documentation": "An array of objects containing information about the changed blocks.
"
+ },
+ "ExpiryTime": {
+ "shape": "TimeStamp",
+ "documentation": "The time when the block token
expires.
"
+ },
+ "VolumeSize": {
+ "shape": "VolumeSize",
+ "documentation": "The size of the volume in GB.
"
+ },
+ "BlockSize": {
+ "shape": "BlockSize",
+ "documentation": "The size of the block.
"
+ },
+ "NextToken": {
+ "shape": "PageToken",
+ "documentation": "The token to use to retrieve the next page of results. This value is null when there are no more results to return.
"
+ }
+ }
+ },
+ "ListSnapshotBlocksRequest": {
+ "type": "structure",
+ "required": [
+ "SnapshotId"
+ ],
+ "members": {
+ "SnapshotId": {
+ "shape": "SnapshotId",
+ "documentation": "The ID of the snapshot from which to get block indexes and block tokens.
",
+ "location": "uri",
+ "locationName": "snapshotId"
+ },
+ "NextToken": {
+ "shape": "PageToken",
+ "documentation": "The token to request the next page of results.
",
+ "location": "querystring",
+ "locationName": "pageToken"
+ },
+ "MaxResults": {
+ "shape": "MaxResults",
+ "documentation": "The number of results to return.
",
+ "location": "querystring",
+ "locationName": "maxResults"
+ },
+ "StartingBlockIndex": {
+ "shape": "BlockIndex",
+ "documentation": "The block index from which the list should start. The list in the response will start from this block index or the next valid block index in the snapshot.
",
+ "location": "querystring",
+ "locationName": "startingBlockIndex"
+ }
+ }
+ },
+ "ListSnapshotBlocksResponse": {
+ "type": "structure",
+ "members": {
+ "Blocks": {
+ "shape": "Blocks",
+ "documentation": "An array of objects containing information about the blocks.
"
+ },
+ "ExpiryTime": {
+ "shape": "TimeStamp",
+ "documentation": "The time when the block token
expires.
"
+ },
+ "VolumeSize": {
+ "shape": "VolumeSize",
+ "documentation": "The size of the volume in GB.
"
+ },
+ "BlockSize": {
+ "shape": "BlockSize",
+ "documentation": "The size of the block.
"
+ },
+ "NextToken": {
+ "shape": "PageToken",
+ "documentation": "The token to use to retrieve the next page of results. This value is null when there are no more results to return.
"
+ }
+ }
+ },
+ "MaxResults": {
+ "type": "integer",
+ "max": 10000,
+ "min": 100
+ },
+ "PageToken": {
+ "type": "string",
+ "max": 256,
+ "pattern": "^[A-Za-z0-9+/=]+$"
+ },
+ "SnapshotId": {
+ "type": "string",
+ "max": 64,
+ "min": 1,
+ "pattern": "^snap-[0-9a-f]+$"
+ },
+ "TimeStamp": {
+ "type": "timestamp"
+ },
+ "VolumeSize": {
+ "type": "long"
+ }
+ },
+ "documentation": "You can use the Amazon Elastic Block Store (EBS) direct APIs to directly read the data on your EBS snapshots, and identify the difference between two snapshots. You can view the details of blocks in an EBS snapshot, compare the block difference between two snapshots, and directly access the data in a snapshot. If you’re an independent software vendor (ISV) who offers backup services for EBS, the EBS direct APIs makes it easier and more cost-effective to track incremental changes on your EBS volumes via EBS snapshots. This can be done without having to create new volumes from EBS snapshots, and then use EC2 instances to compare the differences.
This API reference provides detailed information about the actions, data types, parameters, and errors of the EBS direct APIs. For more information about the elements that make up the EBS direct APIs, and examples of how to use them effectively, see Accessing the Contents of an EBS Snapshot. For more information about how to use the EBS direct APIs, see the EBS direct APIs User Guide. To view the currently supported AWS Regions and endpoints for the EBS direct APIs, see AWS Service Endpoints in the AWS General Reference.
"
+}
\ No newline at end of file
diff --git a/apis/ebs-2019-11-02.paginators.json b/apis/ebs-2019-11-02.paginators.json
new file mode 100644
index 0000000000..e8595e4f3c
--- /dev/null
+++ b/apis/ebs-2019-11-02.paginators.json
@@ -0,0 +1,14 @@
+{
+ "pagination": {
+ "ListChangedBlocks": {
+ "input_token": "NextToken",
+ "output_token": "NextToken",
+ "limit_key": "MaxResults"
+ },
+ "ListSnapshotBlocks": {
+ "input_token": "NextToken",
+ "output_token": "NextToken",
+ "limit_key": "MaxResults"
+ }
+ }
+}
diff --git a/apis/lambda-2015-03-31.min.json b/apis/lambda-2015-03-31.min.json
index 71842eaf09..c393242fad 100644
--- a/apis/lambda-2015-03-31.min.json
+++ b/apis/lambda-2015-03-31.min.json
@@ -368,6 +368,30 @@
}
}
},
+ "DeleteProvisionedConcurrencyConfig": {
+ "http": {
+ "method": "DELETE",
+ "requestUri": "/2019-09-30/functions/{FunctionName}/provisioned-concurrency",
+ "responseCode": 204
+ },
+ "input": {
+ "type": "structure",
+ "required": [
+ "FunctionName",
+ "Qualifier"
+ ],
+ "members": {
+ "FunctionName": {
+ "location": "uri",
+ "locationName": "FunctionName"
+ },
+ "Qualifier": {
+ "location": "querystring",
+ "locationName": "Qualifier"
+ }
+ }
+ }
+ },
"GetAccountSettings": {
"http": {
"method": "GET",
@@ -503,7 +527,34 @@
"shape": "S1y"
},
"Concurrency": {
- "shape": "S33"
+ "shape": "S34"
+ }
+ }
+ }
+ },
+ "GetFunctionConcurrency": {
+ "http": {
+ "method": "GET",
+ "requestUri": "/2019-09-30/functions/{FunctionName}/concurrency",
+ "responseCode": 200
+ },
+ "input": {
+ "type": "structure",
+ "required": [
+ "FunctionName"
+ ],
+ "members": {
+ "FunctionName": {
+ "location": "uri",
+ "locationName": "FunctionName"
+ }
+ }
+ },
+ "output": {
+ "type": "structure",
+ "members": {
+ "ReservedConcurrentExecutions": {
+ "type": "integer"
}
}
}
@@ -557,7 +608,7 @@
}
},
"output": {
- "shape": "S37"
+ "shape": "S3a"
}
},
"GetLayerVersion": {
@@ -585,7 +636,7 @@
}
},
"output": {
- "shape": "S3b"
+ "shape": "S3e"
}
},
"GetLayerVersionByArn": {
@@ -607,7 +658,7 @@
}
},
"output": {
- "shape": "S3b"
+ "shape": "S3e"
}
},
"GetLayerVersionPolicy": {
@@ -672,6 +723,47 @@
}
}
},
+ "GetProvisionedConcurrencyConfig": {
+ "http": {
+ "method": "GET",
+ "requestUri": "/2019-09-30/functions/{FunctionName}/provisioned-concurrency",
+ "responseCode": 200
+ },
+ "input": {
+ "type": "structure",
+ "required": [
+ "FunctionName",
+ "Qualifier"
+ ],
+ "members": {
+ "FunctionName": {
+ "location": "uri",
+ "locationName": "FunctionName"
+ },
+ "Qualifier": {
+ "location": "querystring",
+ "locationName": "Qualifier"
+ }
+ }
+ },
+ "output": {
+ "type": "structure",
+ "members": {
+ "RequestedProvisionedConcurrentExecutions": {
+ "type": "integer"
+ },
+ "AvailableProvisionedConcurrentExecutions": {
+ "type": "integer"
+ },
+ "AllocatedProvisionedConcurrentExecutions": {
+ "type": "integer"
+ },
+ "Status": {},
+ "StatusReason": {},
+ "LastModified": {}
+ }
+ }
+ },
"Invoke": {
"http": {
"requestUri": "/2015-03-31/functions/{FunctionName}/invocations"
@@ -888,7 +980,7 @@
"FunctionEventInvokeConfigs": {
"type": "list",
"member": {
- "shape": "S37"
+ "shape": "S3a"
}
},
"NextMarker": {}
@@ -928,7 +1020,7 @@
"members": {
"NextMarker": {},
"Functions": {
- "shape": "S48"
+ "shape": "S4g"
}
}
}
@@ -971,7 +1063,7 @@
"LayerVersions": {
"type": "list",
"member": {
- "shape": "S4d"
+ "shape": "S4l"
}
}
}
@@ -1013,7 +1105,7 @@
"LayerName": {},
"LayerArn": {},
"LatestMatchingVersion": {
- "shape": "S4d"
+ "shape": "S4l"
}
}
}
@@ -1021,6 +1113,61 @@
}
}
},
+ "ListProvisionedConcurrencyConfigs": {
+ "http": {
+ "method": "GET",
+ "requestUri": "/2019-09-30/functions/{FunctionName}/provisioned-concurrency?List=ALL",
+ "responseCode": 200
+ },
+ "input": {
+ "type": "structure",
+ "required": [
+ "FunctionName"
+ ],
+ "members": {
+ "FunctionName": {
+ "location": "uri",
+ "locationName": "FunctionName"
+ },
+ "Marker": {
+ "location": "querystring",
+ "locationName": "Marker"
+ },
+ "MaxItems": {
+ "location": "querystring",
+ "locationName": "MaxItems",
+ "type": "integer"
+ }
+ }
+ },
+ "output": {
+ "type": "structure",
+ "members": {
+ "ProvisionedConcurrencyConfigs": {
+ "type": "list",
+ "member": {
+ "type": "structure",
+ "members": {
+ "FunctionArn": {},
+ "RequestedProvisionedConcurrentExecutions": {
+ "type": "integer"
+ },
+ "AvailableProvisionedConcurrentExecutions": {
+ "type": "integer"
+ },
+ "AllocatedProvisionedConcurrentExecutions": {
+ "type": "integer"
+ },
+ "Status": {},
+ "StatusReason": {},
+ "LastModified": {}
+ }
+ }
+ },
+ "NextMarker": {}
+ }
+ }
+ },
"ListTags": {
"http": {
"method": "GET",
@@ -1079,7 +1226,7 @@
"members": {
"NextMarker": {},
"Versions": {
- "shape": "S48"
+ "shape": "S4g"
}
}
}
@@ -1113,7 +1260,7 @@
}
},
"CompatibleRuntimes": {
- "shape": "S3e"
+ "shape": "S3h"
},
"LicenseInfo": {}
}
@@ -1122,7 +1269,7 @@
"type": "structure",
"members": {
"Content": {
- "shape": "S3c"
+ "shape": "S3f"
},
"LayerArn": {},
"LayerVersionArn": {},
@@ -1132,7 +1279,7 @@
"type": "long"
},
"CompatibleRuntimes": {
- "shape": "S3e"
+ "shape": "S3h"
},
"LicenseInfo": {}
}
@@ -1185,7 +1332,7 @@
}
},
"output": {
- "shape": "S33"
+ "shape": "S34"
}
},
"PutFunctionEventInvokeConfig": {
@@ -1220,7 +1367,52 @@
}
},
"output": {
- "shape": "S37"
+ "shape": "S3a"
+ }
+ },
+ "PutProvisionedConcurrencyConfig": {
+ "http": {
+ "method": "PUT",
+ "requestUri": "/2019-09-30/functions/{FunctionName}/provisioned-concurrency",
+ "responseCode": 202
+ },
+ "input": {
+ "type": "structure",
+ "required": [
+ "FunctionName",
+ "Qualifier",
+ "ProvisionedConcurrentExecutions"
+ ],
+ "members": {
+ "FunctionName": {
+ "location": "uri",
+ "locationName": "FunctionName"
+ },
+ "Qualifier": {
+ "location": "querystring",
+ "locationName": "Qualifier"
+ },
+ "ProvisionedConcurrentExecutions": {
+ "type": "integer"
+ }
+ }
+ },
+ "output": {
+ "type": "structure",
+ "members": {
+ "RequestedProvisionedConcurrentExecutions": {
+ "type": "integer"
+ },
+ "AvailableProvisionedConcurrentExecutions": {
+ "type": "integer"
+ },
+ "AllocatedProvisionedConcurrentExecutions": {
+ "type": "integer"
+ },
+ "Status": {},
+ "StatusReason": {},
+ "LastModified": {}
+ }
}
},
"RemoveLayerVersionPermission": {
@@ -1532,7 +1724,7 @@
}
},
"output": {
- "shape": "S37"
+ "shape": "S3a"
}
}
},
@@ -1761,7 +1953,7 @@
"LastUpdateStatusReasonCode": {}
}
},
- "S33": {
+ "S34": {
"type": "structure",
"members": {
"ReservedConcurrentExecutions": {
@@ -1769,7 +1961,7 @@
}
}
},
- "S37": {
+ "S3a": {
"type": "structure",
"members": {
"LastModified": {
@@ -1787,11 +1979,11 @@
}
}
},
- "S3b": {
+ "S3e": {
"type": "structure",
"members": {
"Content": {
- "shape": "S3c"
+ "shape": "S3f"
},
"LayerArn": {},
"LayerVersionArn": {},
@@ -1801,12 +1993,12 @@
"type": "long"
},
"CompatibleRuntimes": {
- "shape": "S3e"
+ "shape": "S3h"
},
"LicenseInfo": {}
}
},
- "S3c": {
+ "S3f": {
"type": "structure",
"members": {
"Location": {},
@@ -1816,17 +2008,17 @@
}
}
},
- "S3e": {
+ "S3h": {
"type": "list",
"member": {}
},
- "S48": {
+ "S4g": {
"type": "list",
"member": {
"shape": "S23"
}
},
- "S4d": {
+ "S4l": {
"type": "structure",
"members": {
"LayerVersionArn": {},
@@ -1836,7 +2028,7 @@
"Description": {},
"CreatedDate": {},
"CompatibleRuntimes": {
- "shape": "S3e"
+ "shape": "S3h"
},
"LicenseInfo": {}
}
diff --git a/apis/lambda-2015-03-31.normal.json b/apis/lambda-2015-03-31.normal.json
index 5c1e715378..af4ec6f405 100644
--- a/apis/lambda-2015-03-31.normal.json
+++ b/apis/lambda-2015-03-31.normal.json
@@ -202,6 +202,9 @@
{
"shape": "InvalidParameterValueException"
},
+ {
+ "shape": "ResourceConflictException"
+ },
{
"shape": "TooManyRequestsException"
}
@@ -344,6 +347,35 @@
],
"documentation": "Deletes a version of an AWS Lambda layer. Deleted versions can no longer be viewed or added to functions. To avoid breaking functions, a copy of the version remains in Lambda until no functions refer to it.
"
},
+ "DeleteProvisionedConcurrencyConfig": {
+ "name": "DeleteProvisionedConcurrencyConfig",
+ "http": {
+ "method": "DELETE",
+ "requestUri": "/2019-09-30/functions/{FunctionName}/provisioned-concurrency",
+ "responseCode": 204
+ },
+ "input": {
+ "shape": "DeleteProvisionedConcurrencyConfigRequest"
+ },
+ "errors": [
+ {
+ "shape": "InvalidParameterValueException"
+ },
+ {
+ "shape": "ResourceConflictException"
+ },
+ {
+ "shape": "ResourceNotFoundException"
+ },
+ {
+ "shape": "TooManyRequestsException"
+ },
+ {
+ "shape": "ServiceException"
+ }
+ ],
+ "documentation": "Deletes the provisioned concurrency configuration for a function.
"
+ },
"GetAccountSettings": {
"name": "GetAccountSettings",
"http": {
@@ -454,6 +486,35 @@
],
"documentation": "Returns information about the function or function version, with a link to download the deployment package that's valid for 10 minutes. If you specify a function version, only details that are specific to that version are returned.
"
},
+ "GetFunctionConcurrency": {
+ "name": "GetFunctionConcurrency",
+ "http": {
+ "method": "GET",
+ "requestUri": "/2019-09-30/functions/{FunctionName}/concurrency",
+ "responseCode": 200
+ },
+ "input": {
+ "shape": "GetFunctionConcurrencyRequest"
+ },
+ "output": {
+ "shape": "GetFunctionConcurrencyResponse"
+ },
+ "errors": [
+ {
+ "shape": "InvalidParameterValueException"
+ },
+ {
+ "shape": "ResourceNotFoundException"
+ },
+ {
+ "shape": "TooManyRequestsException"
+ },
+ {
+ "shape": "ServiceException"
+ }
+ ],
+ "documentation": "Returns details about the concurrency configuration for a function. To set a concurrency limit for a function, use PutFunctionConcurrency.
"
+ },
"GetFunctionConfiguration": {
"name": "GetFunctionConfiguration",
"http": {
@@ -628,6 +689,38 @@
],
"documentation": "Returns the resource-based IAM policy for a function, version, or alias.
"
},
+ "GetProvisionedConcurrencyConfig": {
+ "name": "GetProvisionedConcurrencyConfig",
+ "http": {
+ "method": "GET",
+ "requestUri": "/2019-09-30/functions/{FunctionName}/provisioned-concurrency",
+ "responseCode": 200
+ },
+ "input": {
+ "shape": "GetProvisionedConcurrencyConfigRequest"
+ },
+ "output": {
+ "shape": "GetProvisionedConcurrencyConfigResponse"
+ },
+ "errors": [
+ {
+ "shape": "InvalidParameterValueException"
+ },
+ {
+ "shape": "ResourceNotFoundException"
+ },
+ {
+ "shape": "TooManyRequestsException"
+ },
+ {
+ "shape": "ServiceException"
+ },
+ {
+ "shape": "ProvisionedConcurrencyConfigNotFoundException"
+ }
+ ],
+ "documentation": "Retrieves the provisioned concurrency configuration for a function's alias or version.
"
+ },
"Invoke": {
"name": "Invoke",
"http": {
@@ -911,6 +1004,35 @@
],
"documentation": "Lists AWS Lambda layers and shows information about the latest version of each. Specify a runtime identifier to list only layers that indicate that they're compatible with that runtime.
"
},
+ "ListProvisionedConcurrencyConfigs": {
+ "name": "ListProvisionedConcurrencyConfigs",
+ "http": {
+ "method": "GET",
+ "requestUri": "/2019-09-30/functions/{FunctionName}/provisioned-concurrency?List=ALL",
+ "responseCode": 200
+ },
+ "input": {
+ "shape": "ListProvisionedConcurrencyConfigsRequest"
+ },
+ "output": {
+ "shape": "ListProvisionedConcurrencyConfigsResponse"
+ },
+ "errors": [
+ {
+ "shape": "InvalidParameterValueException"
+ },
+ {
+ "shape": "ResourceNotFoundException"
+ },
+ {
+ "shape": "TooManyRequestsException"
+ },
+ {
+ "shape": "ServiceException"
+ }
+ ],
+ "documentation": "Retrieves a list of provisioned concurrency configurations for a function.
"
+ },
"ListTags": {
"name": "ListTags",
"http": {
@@ -1068,7 +1190,7 @@
"shape": "ResourceConflictException"
}
],
- "documentation": "Sets the maximum number of simultaneous executions for a function, and reserves capacity for that concurrency level.
Concurrency settings apply to the function as a whole, including all published versions and the unpublished version. Reserving concurrency both ensures that your function has capacity to process the specified number of events simultaneously, and prevents it from scaling beyond that level. Use GetFunction to see the current setting for a function.
Use GetAccountSettings to see your regional concurrency limit. You can reserve concurrency for as many functions as you like, as long as you leave at least 100 simultaneous executions unreserved for functions that aren't configured with a per-function limit. For more information, see Managing Concurrency.
"
+ "documentation": "Sets the maximum number of simultaneous executions for a function, and reserves capacity for that concurrency level.
Concurrency settings apply to the function as a whole, including all published versions and the unpublished version. Reserving concurrency both ensures that your function has capacity to process the specified number of events simultaneously, and prevents it from scaling beyond that level. Use GetFunction to see the current setting for a function.
Use GetAccountSettings to see your Regional concurrency limit. You can reserve concurrency for as many functions as you like, as long as you leave at least 100 simultaneous executions unreserved for functions that aren't configured with a per-function limit. For more information, see Managing Concurrency.
"
},
"PutFunctionEventInvokeConfig": {
"name": "PutFunctionEventInvokeConfig",
@@ -1099,6 +1221,38 @@
],
"documentation": "Configures options for asynchronous invocation on a function, version, or alias.
By default, Lambda retries an asynchronous invocation twice if the function returns an error. It retains events in a queue for up to six hours. When an event fails all processing attempts or stays in the asynchronous invocation queue for too long, Lambda discards it. To retain discarded events, configure a dead-letter queue with UpdateFunctionConfiguration.
"
},
+ "PutProvisionedConcurrencyConfig": {
+ "name": "PutProvisionedConcurrencyConfig",
+ "http": {
+ "method": "PUT",
+ "requestUri": "/2019-09-30/functions/{FunctionName}/provisioned-concurrency",
+ "responseCode": 202
+ },
+ "input": {
+ "shape": "PutProvisionedConcurrencyConfigRequest"
+ },
+ "output": {
+ "shape": "PutProvisionedConcurrencyConfigResponse"
+ },
+ "errors": [
+ {
+ "shape": "InvalidParameterValueException"
+ },
+ {
+ "shape": "ResourceNotFoundException"
+ },
+ {
+ "shape": "ResourceConflictException"
+ },
+ {
+ "shape": "TooManyRequestsException"
+ },
+ {
+ "shape": "ServiceException"
+ }
+ ],
+ "documentation": "Adds a provisioned concurrency configuration to a function's alias or version.
"
+ },
"RemoveLayerVersionPermission": {
"name": "RemoveLayerVersionPermission",
"http": {
@@ -1940,6 +2094,27 @@
}
}
},
+ "DeleteProvisionedConcurrencyConfigRequest": {
+ "type": "structure",
+ "required": [
+ "FunctionName",
+ "Qualifier"
+ ],
+ "members": {
+ "FunctionName": {
+ "shape": "FunctionName",
+ "documentation": "The name of the Lambda function.
Name formats
-
Function name - my-function
.
-
Function ARN - arn:aws:lambda:us-west-2:123456789012:function:my-function
.
-
Partial ARN - 123456789012:function:my-function
.
The length constraint applies only to the full ARN. If you specify only the function name, it is limited to 64 characters in length.
",
+ "location": "uri",
+ "locationName": "FunctionName"
+ },
+ "Qualifier": {
+ "shape": "Qualifier",
+ "documentation": "The version number or alias name.
",
+ "location": "querystring",
+ "locationName": "Qualifier"
+ }
+ }
+ },
"Description": {
"type": "string",
"max": 256,
@@ -2358,6 +2533,29 @@
}
}
},
+ "GetFunctionConcurrencyRequest": {
+ "type": "structure",
+ "required": [
+ "FunctionName"
+ ],
+ "members": {
+ "FunctionName": {
+ "shape": "FunctionName",
+ "documentation": "The name of the Lambda function.
Name formats
-
Function name - my-function
.
-
Function ARN - arn:aws:lambda:us-west-2:123456789012:function:my-function
.
-
Partial ARN - 123456789012:function:my-function
.
The length constraint applies only to the full ARN. If you specify only the function name, it is limited to 64 characters in length.
",
+ "location": "uri",
+ "locationName": "FunctionName"
+ }
+ }
+ },
+ "GetFunctionConcurrencyResponse": {
+ "type": "structure",
+ "members": {
+ "ReservedConcurrentExecutions": {
+ "shape": "ReservedConcurrentExecutions",
+ "documentation": "The number of simultaneous executions that are reserved for the function.
"
+ }
+ }
+ },
"GetFunctionConfigurationRequest": {
"type": "structure",
"required": [
@@ -2578,6 +2776,56 @@
}
}
},
+ "GetProvisionedConcurrencyConfigRequest": {
+ "type": "structure",
+ "required": [
+ "FunctionName",
+ "Qualifier"
+ ],
+ "members": {
+ "FunctionName": {
+ "shape": "FunctionName",
+ "documentation": "The name of the Lambda function.
Name formats
-
Function name - my-function
.
-
Function ARN - arn:aws:lambda:us-west-2:123456789012:function:my-function
.
-
Partial ARN - 123456789012:function:my-function
.
The length constraint applies only to the full ARN. If you specify only the function name, it is limited to 64 characters in length.
",
+ "location": "uri",
+ "locationName": "FunctionName"
+ },
+ "Qualifier": {
+ "shape": "Qualifier",
+ "documentation": "The version number or alias name.
",
+ "location": "querystring",
+ "locationName": "Qualifier"
+ }
+ }
+ },
+ "GetProvisionedConcurrencyConfigResponse": {
+ "type": "structure",
+ "members": {
+ "RequestedProvisionedConcurrentExecutions": {
+ "shape": "PositiveInteger",
+ "documentation": "The amount of provisioned concurrency requested.
"
+ },
+ "AvailableProvisionedConcurrentExecutions": {
+ "shape": "NonNegativeInteger",
+ "documentation": "The amount of provisioned concurrency available.
"
+ },
+ "AllocatedProvisionedConcurrentExecutions": {
+ "shape": "NonNegativeInteger",
+ "documentation": "The amount of provisioned concurrency allocated.
"
+ },
+ "Status": {
+ "shape": "ProvisionedConcurrencyStatusEnum",
+ "documentation": "The status of the allocation process.
"
+ },
+ "StatusReason": {
+ "shape": "String",
+ "documentation": "For failed allocations, the reason that provisioned concurrency could not be allocated.
"
+ },
+ "LastModified": {
+ "shape": "Timestamp",
+ "documentation": "The date and time that a user last updated the configuration, in ISO 8601 format.
"
+ }
+ }
+ },
"Handler": {
"type": "string",
"max": 128,
@@ -3139,6 +3387,45 @@
}
}
},
+ "ListProvisionedConcurrencyConfigsRequest": {
+ "type": "structure",
+ "required": [
+ "FunctionName"
+ ],
+ "members": {
+ "FunctionName": {
+ "shape": "FunctionName",
+ "documentation": "The name of the Lambda function.
Name formats
-
Function name - my-function
.
-
Function ARN - arn:aws:lambda:us-west-2:123456789012:function:my-function
.
-
Partial ARN - 123456789012:function:my-function
.
The length constraint applies only to the full ARN. If you specify only the function name, it is limited to 64 characters in length.
",
+ "location": "uri",
+ "locationName": "FunctionName"
+ },
+ "Marker": {
+ "shape": "String",
+ "documentation": "Specify the pagination token that's returned by a previous request to retrieve the next page of results.
",
+ "location": "querystring",
+ "locationName": "Marker"
+ },
+ "MaxItems": {
+ "shape": "MaxProvisionedConcurrencyConfigListItems",
+ "documentation": "Specify a number to limit the number of configurations returned.
",
+ "location": "querystring",
+ "locationName": "MaxItems"
+ }
+ }
+ },
+ "ListProvisionedConcurrencyConfigsResponse": {
+ "type": "structure",
+ "members": {
+ "ProvisionedConcurrencyConfigs": {
+ "shape": "ProvisionedConcurrencyConfigList",
+ "documentation": "A list of provisioned concurrency configurations.
"
+ },
+ "NextMarker": {
+ "shape": "String",
+ "documentation": "The pagination token that's included if more results are available.
"
+ }
+ }
+ },
"ListTagsRequest": {
"type": "structure",
"required": [
@@ -3230,6 +3517,11 @@
"max": 10000,
"min": 1
},
+ "MaxProvisionedConcurrencyConfigListItems": {
+ "type": "integer",
+ "max": 50,
+ "min": 1
+ },
"MaximumBatchingWindowInSeconds": {
"type": "integer",
"max": 300,
@@ -3276,6 +3568,10 @@
"min": 1,
"pattern": "([a-zA-Z0-9-_.]+)"
},
+ "NonNegativeInteger": {
+ "type": "integer",
+ "min": 0
+ },
"OnFailure": {
"type": "structure",
"members": {
@@ -3305,10 +3601,62 @@
"max": 10,
"min": 1
},
+ "PositiveInteger": {
+ "type": "integer",
+ "min": 1
+ },
"Principal": {
"type": "string",
"pattern": ".*"
},
+ "ProvisionedConcurrencyConfigList": {
+ "type": "list",
+ "member": {
+ "shape": "ProvisionedConcurrencyConfigListItem"
+ }
+ },
+ "ProvisionedConcurrencyConfigListItem": {
+ "type": "structure",
+ "members": {
+ "FunctionArn": {
+ "shape": "FunctionArn",
+ "documentation": "The Amazon Resource Name (ARN) of the alias or version.
"
+ },
+ "RequestedProvisionedConcurrentExecutions": {
+ "shape": "PositiveInteger",
+ "documentation": "The amount of provisioned concurrency requested.
"
+ },
+ "AvailableProvisionedConcurrentExecutions": {
+ "shape": "NonNegativeInteger",
+ "documentation": "The amount of provisioned concurrency available.
"
+ },
+ "AllocatedProvisionedConcurrentExecutions": {
+ "shape": "NonNegativeInteger",
+ "documentation": "The amount of provisioned concurrency allocated.
"
+ },
+ "Status": {
+ "shape": "ProvisionedConcurrencyStatusEnum",
+ "documentation": "The status of the allocation process.
"
+ },
+ "StatusReason": {
+ "shape": "String",
+ "documentation": "For failed allocations, the reason that provisioned concurrency could not be allocated.
"
+ },
+ "LastModified": {
+ "shape": "Timestamp",
+ "documentation": "The date and time that a user last updated the configuration, in ISO 8601 format.
"
+ }
+ },
+ "documentation": "Details about the provisioned concurrency configuration for a function alias or version.
"
+ },
+ "ProvisionedConcurrencyStatusEnum": {
+ "type": "string",
+ "enum": [
+ "IN_PROGRESS",
+ "READY",
+ "FAILED"
+ ]
+ },
"PublishLayerVersionRequest": {
"type": "structure",
"required": [
@@ -3454,6 +3802,61 @@
}
}
},
+ "PutProvisionedConcurrencyConfigRequest": {
+ "type": "structure",
+ "required": [
+ "FunctionName",
+ "Qualifier",
+ "ProvisionedConcurrentExecutions"
+ ],
+ "members": {
+ "FunctionName": {
+ "shape": "FunctionName",
+ "documentation": "The name of the Lambda function.
Name formats
-
Function name - my-function
.
-
Function ARN - arn:aws:lambda:us-west-2:123456789012:function:my-function
.
-
Partial ARN - 123456789012:function:my-function
.
The length constraint applies only to the full ARN. If you specify only the function name, it is limited to 64 characters in length.
",
+ "location": "uri",
+ "locationName": "FunctionName"
+ },
+ "Qualifier": {
+ "shape": "Qualifier",
+ "documentation": "The version number or alias name.
",
+ "location": "querystring",
+ "locationName": "Qualifier"
+ },
+ "ProvisionedConcurrentExecutions": {
+ "shape": "PositiveInteger",
+ "documentation": "The amount of provisioned concurrency to allocate for the version or alias.
"
+ }
+ }
+ },
+ "PutProvisionedConcurrencyConfigResponse": {
+ "type": "structure",
+ "members": {
+ "RequestedProvisionedConcurrentExecutions": {
+ "shape": "PositiveInteger",
+ "documentation": "The amount of provisioned concurrency requested.
"
+ },
+ "AvailableProvisionedConcurrentExecutions": {
+ "shape": "NonNegativeInteger",
+ "documentation": "The amount of provisioned concurrency available.
"
+ },
+ "AllocatedProvisionedConcurrentExecutions": {
+ "shape": "NonNegativeInteger",
+ "documentation": "The amount of provisioned concurrency allocated.
"
+ },
+ "Status": {
+ "shape": "ProvisionedConcurrencyStatusEnum",
+ "documentation": "The status of the allocation process.
"
+ },
+ "StatusReason": {
+ "shape": "String",
+ "documentation": "For failed allocations, the reason that provisioned concurrency could not be allocated.
"
+ },
+ "LastModified": {
+ "shape": "Timestamp",
+ "documentation": "The date and time that a user last updated the configuration, in ISO 8601 format.
"
+ }
+ }
+ },
"Qualifier": {
"type": "string",
"max": 128,
diff --git a/apis/lambda-2015-03-31.paginators.json b/apis/lambda-2015-03-31.paginators.json
index 927107530c..dd31bcb2ce 100644
--- a/apis/lambda-2015-03-31.paginators.json
+++ b/apis/lambda-2015-03-31.paginators.json
@@ -36,6 +36,12 @@
"output_token": "NextMarker",
"result_key": "Layers"
},
+ "ListProvisionedConcurrencyConfigs": {
+ "input_token": "Marker",
+ "limit_key": "MaxItems",
+ "output_token": "NextMarker",
+ "result_key": "ProvisionedConcurrencyConfigs"
+ },
"ListVersionsByFunction": {
"input_token": "Marker",
"limit_key": "MaxItems",
diff --git a/apis/metadata.json b/apis/metadata.json
index a9bf62def8..6bdc8eeab9 100644
--- a/apis/metadata.json
+++ b/apis/metadata.json
@@ -849,5 +849,8 @@
"augmentedairuntime": {
"prefix": "sagemaker-a2i-runtime",
"name": "AugmentedAIRuntime"
+ },
+ "ebs": {
+ "name": "EBS"
}
}
\ No newline at end of file
diff --git a/apis/rds-2014-10-31.min.json b/apis/rds-2014-10-31.min.json
index 07e58cef1b..78b2dddad6 100644
--- a/apis/rds-2014-10-31.min.json
+++ b/apis/rds-2014-10-31.min.json
@@ -694,6 +694,53 @@
}
}
},
+ "CreateDBProxy": {
+ "input": {
+ "type": "structure",
+ "required": [
+ "DBProxyName",
+ "EngineFamily",
+ "Auth",
+ "RoleArn",
+ "VpcSubnetIds"
+ ],
+ "members": {
+ "DBProxyName": {},
+ "EngineFamily": {},
+ "Auth": {
+ "shape": "S37"
+ },
+ "RoleArn": {},
+ "VpcSubnetIds": {
+ "shape": "S1x"
+ },
+ "VpcSecurityGroupIds": {
+ "shape": "S1x"
+ },
+ "RequireTLS": {
+ "type": "boolean"
+ },
+ "IdleClientTimeout": {
+ "type": "integer"
+ },
+ "DebugLogging": {
+ "type": "boolean"
+ },
+ "Tags": {
+ "shape": "Sb"
+ }
+ }
+ },
+ "output": {
+ "resultWrapper": "CreateDBProxyResult",
+ "type": "structure",
+ "members": {
+ "DBProxy": {
+ "shape": "S3c"
+ }
+ }
+ }
+ },
"CreateDBSecurityGroup": {
"input": {
"type": "structure",
@@ -756,7 +803,7 @@
"DBSubnetGroupName": {},
"DBSubnetGroupDescription": {},
"SubnetIds": {
- "shape": "S3a"
+ "shape": "S3l"
},
"Tags": {
"shape": "Sb"
@@ -830,7 +877,7 @@
"type": "structure",
"members": {
"GlobalCluster": {
- "shape": "S3g"
+ "shape": "S3r"
}
}
}
@@ -996,7 +1043,7 @@
"type": "structure",
"members": {
"DBInstanceAutomatedBackup": {
- "shape": "S3y"
+ "shape": "S49"
}
}
}
@@ -1012,6 +1059,26 @@
}
}
},
+ "DeleteDBProxy": {
+ "input": {
+ "type": "structure",
+ "required": [
+ "DBProxyName"
+ ],
+ "members": {
+ "DBProxyName": {}
+ }
+ },
+ "output": {
+ "resultWrapper": "DeleteDBProxyResult",
+ "type": "structure",
+ "members": {
+ "DBProxy": {
+ "shape": "S3c"
+ }
+ }
+ }
+ },
"DeleteDBSecurityGroup": {
"input": {
"type": "structure",
@@ -1089,7 +1156,7 @@
"type": "structure",
"members": {
"GlobalCluster": {
- "shape": "S3g"
+ "shape": "S3r"
}
}
}
@@ -1105,7 +1172,7 @@
}
},
"output": {
- "shape": "S4a",
+ "shape": "S4n",
"resultWrapper": "DeleteInstallationMediaResult"
}
},
@@ -1120,6 +1187,29 @@
}
}
},
+ "DeregisterDBProxyTargets": {
+ "input": {
+ "type": "structure",
+ "required": [
+ "DBProxyName"
+ ],
+ "members": {
+ "DBProxyName": {},
+ "TargetGroupName": {},
+ "DBInstanceIdentifiers": {
+ "shape": "S1x"
+ },
+ "DBClusterIdentifiers": {
+ "shape": "S1x"
+ }
+ }
+ },
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"Parameters": {
- "shape": "S53"
+ "shape": "S5i"
}
},
"wrapper": true
},
- "S7v": {
+ "S8o": {
"type": "list",
"member": {
"locationName": "AvailableProcessorFeature",
@@ -5008,7 +5402,7 @@
}
}
},
- "S83": {
+ "S8w": {
"type": "structure",
"members": {
"ReservedDBInstanceId": {},
@@ -5037,14 +5431,14 @@
},
"State": {},
"RecurringCharges": {
- "shape": "S85"
+ "shape": "S8y"
},
"ReservedDBInstanceArn": {},
"LeaseId": {}
},
"wrapper": true
},
- "S85": {
+ "S8y": {
"type": "list",
"member": {
"locationName": "RecurringCharge",
@@ -5058,7 +5452,7 @@
"wrapper": true
}
},
- "S8k": {
+ "S9d": {
"type": "list",
"member": {
"locationName": "Range",
@@ -5076,7 +5470,7 @@
}
}
},
- "S8y": {
+ "S9r": {
"type": "structure",
"members": {
"EnableLogTypes": {
@@ -5087,13 +5481,13 @@
}
}
},
- "S92": {
+ "S9v": {
"type": "structure",
"members": {
"DBClusterParameterGroupName": {}
}
},
- "S98": {
+ "Sa1": {
"type": "structure",
"members": {
"DBParameterGroupName": {}
diff --git a/apis/rds-2014-10-31.normal.json b/apis/rds-2014-10-31.normal.json
index 02d95cca88..df6723eb83 100644
--- a/apis/rds-2014-10-31.normal.json
+++ b/apis/rds-2014-10-31.normal.json
@@ -688,6 +688,32 @@
],
"documentation": "Creates a new DB parameter group.
A DB parameter group is initially created with the default parameters for the database engine used by the DB instance. To provide custom values for any of the parameters, you must modify the group after creating it using ModifyDBParameterGroup. Once you've created a DB parameter group, you need to associate it with your DB instance using ModifyDBInstance. When you associate a new DB parameter group with a running DB instance, you need to reboot the DB instance without failover for the new DB parameter group and associated settings to take effect.
After you create a DB parameter group, you should wait at least 5 minutes before creating your first DB instance that uses that DB parameter group as the default parameter group. This allows Amazon RDS to fully complete the create action before the parameter group is used as the default for a new DB instance. This is especially important for parameters that are critical when creating the default database for a DB instance, such as the character set for the default database defined by the character_set_database
parameter. You can use the Parameter Groups option of the Amazon RDS console or the DescribeDBParameters command to verify that your DB parameter group has been created or modified.
"
},
+ "CreateDBProxy": {
+ "name": "CreateDBProxy",
+ "http": {
+ "method": "POST",
+ "requestUri": "/"
+ },
+ "input": {
+ "shape": "CreateDBProxyRequest"
+ },
+ "output": {
+ "shape": "CreateDBProxyResponse",
+ "resultWrapper": "CreateDBProxyResult"
+ },
+ "errors": [
+ {
+ "shape": "InvalidSubnet"
+ },
+ {
+ "shape": "DBProxyAlreadyExistsFault"
+ },
+ {
+ "shape": "DBProxyQuotaExceededFault"
+ }
+ ],
+ "documentation": " This is prerelease documentation for the RDS Database Proxy feature in preview release. It is subject to change.
Creates a new DB proxy.
"
+ },
"CreateDBSecurityGroup": {
"name": "CreateDBSecurityGroup",
"http": {
@@ -1065,6 +1091,29 @@
],
"documentation": "Deletes a specified DB parameter group. The DB parameter group to be deleted can't be associated with any DB instances.
"
},
+ "DeleteDBProxy": {
+ "name": "DeleteDBProxy",
+ "http": {
+ "method": "POST",
+ "requestUri": "/"
+ },
+ "input": {
+ "shape": "DeleteDBProxyRequest"
+ },
+ "output": {
+ "shape": "DeleteDBProxyResponse",
+ "resultWrapper": "DeleteDBProxyResult"
+ },
+ "errors": [
+ {
+ "shape": "DBProxyNotFoundFault"
+ },
+ {
+ "shape": "InvalidDBProxyStateFault"
+ }
+ ],
+ "documentation": " This is prerelease documentation for the RDS Database Proxy feature in preview release. It is subject to change.
Deletes an existing proxy.
"
+ },
"DeleteDBSecurityGroup": {
"name": "DeleteDBSecurityGroup",
"http": {
@@ -1214,6 +1263,32 @@
],
"documentation": "Deletes an existing option group.
"
},
+ "DeregisterDBProxyTargets": {
+ "name": "DeregisterDBProxyTargets",
+ "http": {
+ "method": "POST",
+ "requestUri": "/"
+ },
+ "input": {
+ "shape": "DeregisterDBProxyTargetsRequest"
+ },
+ "output": {
+ "shape": "DeregisterDBProxyTargetsResponse",
+ "resultWrapper": "DeregisterDBProxyTargetsResult"
+ },
+ "errors": [
+ {
+ "shape": "DBProxyTargetNotFoundFault"
+ },
+ {
+ "shape": "DBProxyTargetGroupNotFoundFault"
+ },
+ {
+ "shape": "DBProxyNotFoundFault"
+ }
+ ],
+ "documentation": " This is prerelease documentation for the RDS Database Proxy feature in preview release. It is subject to change.
Remove the association between one or more DBProxyTarget
data structures and a DBProxyTargetGroup
.
"
+ },
"DescribeAccountAttributes": {
"name": "DescribeAccountAttributes",
"http": {
@@ -1527,6 +1602,72 @@
],
"documentation": "Returns the detailed parameter list for a particular DB parameter group.
"
},
+ "DescribeDBProxies": {
+ "name": "DescribeDBProxies",
+ "http": {
+ "method": "POST",
+ "requestUri": "/"
+ },
+ "input": {
+ "shape": "DescribeDBProxiesRequest"
+ },
+ "output": {
+ "shape": "DescribeDBProxiesResponse",
+ "resultWrapper": "DescribeDBProxiesResult"
+ },
+ "errors": [
+ {
+ "shape": "DBProxyNotFoundFault"
+ }
+ ],
+ "documentation": " This is prerelease documentation for the RDS Database Proxy feature in preview release. It is subject to change.
Returns information about DB proxies.
"
+ },
+ "DescribeDBProxyTargetGroups": {
+ "name": "DescribeDBProxyTargetGroups",
+ "http": {
+ "method": "POST",
+ "requestUri": "/"
+ },
+ "input": {
+ "shape": "DescribeDBProxyTargetGroupsRequest"
+ },
+ "output": {
+ "shape": "DescribeDBProxyTargetGroupsResponse",
+ "resultWrapper": "DescribeDBProxyTargetGroupsResult"
+ },
+ "errors": [
+ {
+ "shape": "DBProxyTargetGroupNotFoundFault"
+ }
+ ],
+ "documentation": " This is prerelease documentation for the RDS Database Proxy feature in preview release. It is subject to change.
Returns information about DB proxy target groups, represented by DBProxyTargetGroup
data structures.
"
+ },
+ "DescribeDBProxyTargets": {
+ "name": "DescribeDBProxyTargets",
+ "http": {
+ "method": "POST",
+ "requestUri": "/"
+ },
+ "input": {
+ "shape": "DescribeDBProxyTargetsRequest"
+ },
+ "output": {
+ "shape": "DescribeDBProxyTargetsResponse",
+ "resultWrapper": "DescribeDBProxyTargetsResult"
+ },
+ "errors": [
+ {
+ "shape": "DBProxyNotFoundFault"
+ },
+ {
+ "shape": "DBProxyTargetNotFoundFault"
+ },
+ {
+ "shape": "DBProxyTargetGroupNotFoundFault"
+ }
+ ],
+ "documentation": " This is prerelease documentation for the RDS Database Proxy feature in preview release. It is subject to change.
Returns information about DBProxyTarget
objects. This API supports pagination.
"
+ },
"DescribeDBSecurityGroups": {
"name": "DescribeDBSecurityGroups",
"http": {
@@ -2224,6 +2365,55 @@
],
"documentation": " Modifies the parameters of a DB parameter group. To modify more than one parameter, submit a list of the following: ParameterName
, ParameterValue
, and ApplyMethod
. A maximum of 20 parameters can be modified in a single request.
Changes to dynamic parameters are applied immediately. Changes to static parameters require a reboot without failover to the DB instance associated with the parameter group before the change can take effect.
After you modify a DB parameter group, you should wait at least 5 minutes before creating your first DB instance that uses that DB parameter group as the default parameter group. This allows Amazon RDS to fully complete the modify action before the parameter group is used as the default for a new DB instance. This is especially important for parameters that are critical when creating the default database for a DB instance, such as the character set for the default database defined by the character_set_database
parameter. You can use the Parameter Groups option of the Amazon RDS console or the DescribeDBParameters command to verify that your DB parameter group has been created or modified.
"
},
+ "ModifyDBProxy": {
+ "name": "ModifyDBProxy",
+ "http": {
+ "method": "POST",
+ "requestUri": "/"
+ },
+ "input": {
+ "shape": "ModifyDBProxyRequest"
+ },
+ "output": {
+ "shape": "ModifyDBProxyResponse",
+ "resultWrapper": "ModifyDBProxyResult"
+ },
+ "errors": [
+ {
+ "shape": "DBProxyNotFoundFault"
+ },
+ {
+ "shape": "DBProxyAlreadyExistsFault"
+ },
+ {
+ "shape": "InvalidDBProxyStateFault"
+ }
+ ],
+ "documentation": " This is prerelease documentation for the RDS Database Proxy feature in preview release. It is subject to change.
Changes the settings for an existing DB proxy.
"
+ },
+ "ModifyDBProxyTargetGroup": {
+ "name": "ModifyDBProxyTargetGroup",
+ "http": {
+ "method": "POST",
+ "requestUri": "/"
+ },
+ "input": {
+ "shape": "ModifyDBProxyTargetGroupRequest"
+ },
+ "output": {
+ "shape": "ModifyDBProxyTargetGroupResponse",
+ "resultWrapper": "ModifyDBProxyTargetGroupResult"
+ },
+ "errors": [
+ {
+ "shape": "DBProxyNotFoundFault"
+ },
+ {
+ "shape": "DBProxyTargetGroupNotFoundFault"
+ }
+ ],
+ "documentation": " This is prerelease documentation for the RDS Database Proxy feature in preview release. It is subject to change.
Modifies the properties of a DBProxyTargetGroup
.
"
+ },
"ModifyDBSnapshot": {
"name": "ModifyDBSnapshot",
"http": {
@@ -2478,6 +2668,44 @@
],
"documentation": "You might need to reboot your DB instance, usually for maintenance reasons. For example, if you make certain modifications, or if you change the DB parameter group associated with the DB instance, you must reboot the instance for the changes to take effect.
Rebooting a DB instance restarts the database engine service. Rebooting a DB instance results in a momentary outage, during which the DB instance status is set to rebooting.
For more information about rebooting, see Rebooting a DB Instance in the Amazon RDS User Guide.
"
},
+ "RegisterDBProxyTargets": {
+ "name": "RegisterDBProxyTargets",
+ "http": {
+ "method": "POST",
+ "requestUri": "/"
+ },
+ "input": {
+ "shape": "RegisterDBProxyTargetsRequest"
+ },
+ "output": {
+ "shape": "RegisterDBProxyTargetsResponse",
+ "resultWrapper": "RegisterDBProxyTargetsResult"
+ },
+ "errors": [
+ {
+ "shape": "DBProxyNotFoundFault"
+ },
+ {
+ "shape": "DBProxyTargetGroupNotFoundFault"
+ },
+ {
+ "shape": "DBClusterNotFoundFault"
+ },
+ {
+ "shape": "DBInstanceNotFoundFault"
+ },
+ {
+ "shape": "DBProxyTargetAlreadyRegisteredFault"
+ },
+ {
+ "shape": "InvalidDBInstanceStateFault"
+ },
+ {
+ "shape": "InvalidDBClusterStateFault"
+ }
+ ],
+ "documentation": " This is prerelease documentation for the RDS Database Proxy feature in preview release. It is subject to change.
Associate one or more DBProxyTarget
data structures with a DBProxyTargetGroup
.
"
+ },
"RemoveFromGlobalCluster": {
"name": "RemoveFromGlobalCluster",
"http": {
@@ -3484,6 +3712,12 @@
"locationName": "AttributeValue"
}
},
+ "AuthScheme": {
+ "type": "string",
+ "enum": [
+ "SECRETS"
+ ]
+ },
"AuthorizeDBSecurityGroupIngressMessage": {
"type": "structure",
"required": [
@@ -3683,6 +3917,58 @@
},
"documentation": "The configuration setting for the log types to be enabled for export to CloudWatch Logs for a specific DB instance or DB cluster.
The EnableLogTypes
and DisableLogTypes
arrays determine which logs will be exported (or not exported) to CloudWatch Logs. The values within these arrays depend on the DB engine being used. For more information, see Publishing Database Logs to Amazon CloudWatch Logs in the Amazon RDS User Guide.
"
},
+ "ConnectionPoolConfiguration": {
+ "type": "structure",
+ "members": {
+ "MaxConnectionsPercent": {
+ "shape": "IntegerOptional",
+ "documentation": "The maximum size of the connection pool for each target in a target group. For Aurora MySQL, it is expressed as a percentage of the max_connections
setting for the RDS DB instance or Aurora DB cluster used by the target group.
Default: 100
Constraints: between 1 and 100
"
+ },
+ "MaxIdleConnectionsPercent": {
+ "shape": "IntegerOptional",
+ "documentation": " Controls how actively the proxy closes idle database connections in the connection pool. A high value enables the proxy to leave a high percentage of idle connections open. A low value causes the proxy to close idle client connections and return the underlying database connections to the connection pool. For Aurora MySQL, it is expressed as a percentage of the max_connections
setting for the RDS DB instance or Aurora DB cluster used by the target group.
Default: 50
Constraints: between 0 and MaxConnectionsPercent
"
+ },
+ "ConnectionBorrowTimeout": {
+ "shape": "IntegerOptional",
+ "documentation": "The number of seconds for a proxy to wait for a connection to become available in the connection pool. Only applies when the proxy has opened its maximum number of connections and all connections are busy with client sessions.
Default: 120
Constraints: between 1 and 3600, or 0 representing unlimited
"
+ },
+ "SessionPinningFilters": {
+ "shape": "StringList",
+ "documentation": "Each item in the list represents a class of SQL operations that normally cause all later statements in a session using a proxy to be pinned to the same underlying database connection. Including an item in the list exempts that class of SQL operations from the pinning behavior.
Default: no session pinning filters
"
+ },
+ "InitQuery": {
+ "shape": "String",
+ "documentation": " One or more SQL statements for the proxy to run when opening each new database connection. Typically used with SET
statements to make sure that each connection has identical settings such as time zone and character set. For multiple statements, use semicolons as the separator. You can also include multiple variables in a single SET
statement, such as SET x=1, y=2
.
Default: no initialization query
"
+ }
+ },
+ "documentation": " This is prerelease documentation for the RDS Database Proxy feature in preview release. It is subject to change.
Specifies the settings that control the size and behavior of the connection pool associated with a DBProxyTargetGroup
.
"
+ },
+ "ConnectionPoolConfigurationInfo": {
+ "type": "structure",
+ "members": {
+ "MaxConnectionsPercent": {
+ "shape": "Integer",
+ "documentation": "The maximum size of the connection pool for each target in a target group. For Aurora MySQL, it is expressed as a percentage of the max_connections
setting for the RDS DB instance or Aurora DB cluster used by the target group.
"
+ },
+ "MaxIdleConnectionsPercent": {
+ "shape": "Integer",
+ "documentation": " Controls how actively the proxy closes idle database connections in the connection pool. A high value enables the proxy to leave a high percentage of idle connections open. A low value causes the proxy to close idle client connections and return the underlying database connections to the connection pool. For Aurora MySQL, it is expressed as a percentage of the max_connections
setting for the RDS DB instance or Aurora DB cluster used by the target group.
"
+ },
+ "ConnectionBorrowTimeout": {
+ "shape": "Integer",
+ "documentation": "The number of seconds for a proxy to wait for a connection to become available in the connection pool. Only applies when the proxy has opened its maximum number of connections and all connections are busy with client sessions.
"
+ },
+ "SessionPinningFilters": {
+ "shape": "StringList",
+ "documentation": "Each item in the list represents a class of SQL operations that normally cause all later statements in a session using a proxy to be pinned to the same underlying database connection. Including an item in the list exempts that class of SQL operations from the pinning behavior. Currently, the only allowed value is EXCLUDE_VARIABLE_SETS
.
"
+ },
+ "InitQuery": {
+ "shape": "String",
+ "documentation": " One or more SQL statements for the proxy to run when opening each new database connection. Typically used with SET
statements to make sure that each connection has identical settings such as time zone and character set. This setting is empty by default. For multiple statements, use semicolons as the separator. You can also include multiple variables in a single SET
statement, such as SET x=1, y=2
.
"
+ }
+ },
+ "documentation": " This is prerelease documentation for the RDS Database Proxy feature in preview release. It is subject to change.
Displays the settings that control the size and behavior of the connection pool associated with a DBProxyTarget
.
"
+ },
"CopyDBClusterParameterGroupMessage": {
"type": "structure",
"required": [
@@ -4530,6 +4816,67 @@
}
}
},
+ "CreateDBProxyRequest": {
+ "type": "structure",
+ "required": [
+ "DBProxyName",
+ "EngineFamily",
+ "Auth",
+ "RoleArn",
+ "VpcSubnetIds"
+ ],
+ "members": {
+ "DBProxyName": {
+ "shape": "String",
+ "documentation": "The identifier for the proxy. This name must be unique for all proxies owned by your AWS account in the specified AWS Region. An identifier must begin with a letter and must contain only ASCII letters, digits, and hyphens; it can't end with a hyphen or contain two consecutive hyphens.
"
+ },
+ "EngineFamily": {
+ "shape": "EngineFamily",
+ "documentation": "The kinds of databases that the proxy can connect to. This value determines which database network protocol the proxy recognizes when it interprets network traffic to and from the database. Currently, this value is always MYSQL
. The engine family applies to both RDS MySQL and Aurora MySQL.
"
+ },
+ "Auth": {
+ "shape": "UserAuthConfigList",
+ "documentation": "The authorization mechanism that the proxy uses.
"
+ },
+ "RoleArn": {
+ "shape": "String",
+ "documentation": "The Amazon Resource Name (ARN) of the IAM role that the proxy uses to access secrets in AWS Secrets Manager.
"
+ },
+ "VpcSubnetIds": {
+ "shape": "StringList",
+ "documentation": "One or more VPC subnet IDs to associate with the new proxy.
"
+ },
+ "VpcSecurityGroupIds": {
+ "shape": "StringList",
+ "documentation": "One or more VPC security group IDs to associate with the new proxy.
"
+ },
+ "RequireTLS": {
+ "shape": "Boolean",
+ "documentation": "A Boolean parameter that specifies whether Transport Layer Security (TLS) encryption is required for connections to the proxy. By enabling this setting, you can enforce encrypted TLS connections to the proxy.
"
+ },
+ "IdleClientTimeout": {
+ "shape": "IntegerOptional",
+ "documentation": "The number of seconds that a connection to the proxy can be inactive before the proxy disconnects it. You can set this value higher or lower than the connection timeout limit for the associated database.
"
+ },
+ "DebugLogging": {
+ "shape": "Boolean",
+ "documentation": "Whether the proxy includes detailed information about SQL statements in its logs. This information helps you to debug issues involving SQL behavior or the performance and scalability of the proxy connections. The debug information includes the text of SQL statements that you submit through the proxy. Thus, only enable this setting when needed for debugging, and only when you have security measures in place to safeguard any sensitive information that appears in the logs.
"
+ },
+ "Tags": {
+ "shape": "TagList",
+ "documentation": "An optional set of key-value pairs to associate arbitrary data of your choosing with the proxy.
"
+ }
+ }
+ },
+ "CreateDBProxyResponse": {
+ "type": "structure",
+ "members": {
+ "DBProxy": {
+ "shape": "DBProxy",
+ "documentation": "The DBProxy
structure corresponding to the new proxy.
"
+ }
+ }
+ },
"CreateDBSecurityGroupMessage": {
"type": "structure",
"required": [
@@ -6064,49 +6411,196 @@
},
"documentation": " Contains the result of a successful invocation of the DescribeDBParameterGroups
action.
"
},
- "DBSecurityGroup": {
+ "DBProxy": {
"type": "structure",
"members": {
- "OwnerId": {
+ "DBProxyName": {
"shape": "String",
- "documentation": "Provides the AWS ID of the owner of a specific DB security group.
"
+ "documentation": "The identifier for the proxy. This name must be unique for all proxies owned by your AWS account in the specified AWS Region.
"
},
- "DBSecurityGroupName": {
+ "DBProxyArn": {
"shape": "String",
- "documentation": "Specifies the name of the DB security group.
"
+ "documentation": "The Amazon Resource Name (ARN) for the proxy.
"
},
- "DBSecurityGroupDescription": {
- "shape": "String",
- "documentation": "Provides the description of the DB security group.
"
+ "Status": {
+ "shape": "DBProxyStatus",
+ "documentation": "The current status of this proxy. A status of available
means the proxy is ready to handle requests. Other values indicate that you must wait for the proxy to be ready, or take some action to resolve an issue.
"
},
- "VpcId": {
+ "EngineFamily": {
"shape": "String",
- "documentation": "Provides the VpcId of the DB security group.
"
+ "documentation": "Currently, this value is always MYSQL
. The engine family applies to both RDS MySQL and Aurora MySQL.
"
},
- "EC2SecurityGroups": {
- "shape": "EC2SecurityGroupList",
- "documentation": " Contains a list of EC2SecurityGroup
elements.
"
+ "VpcSecurityGroupIds": {
+ "shape": "StringList",
+ "documentation": "Provides a list of VPC security groups that the proxy belongs to.
"
},
- "IPRanges": {
- "shape": "IPRangeList",
- "documentation": " Contains a list of IPRange
elements.
"
+ "VpcSubnetIds": {
+ "shape": "StringList",
+ "documentation": "The EC2 subnet IDs for the proxy.
"
},
- "DBSecurityGroupArn": {
- "shape": "String",
- "documentation": "The Amazon Resource Name (ARN) for the DB security group.
"
- }
- },
- "documentation": "Contains the details for an Amazon RDS DB security group.
This data type is used as a response element in the DescribeDBSecurityGroups
action.
",
- "wrapper": true
- },
- "DBSecurityGroupMembership": {
- "type": "structure",
- "members": {
- "DBSecurityGroupName": {
+ "Auth": {
+ "shape": "UserAuthConfigInfoList",
+ "documentation": "One or more data structures specifying the authorization mechanism to connect to the associated RDS DB instance or Aurora DB cluster.
"
+ },
+ "RoleArn": {
"shape": "String",
- "documentation": "The name of the DB security group.
"
+ "documentation": "The Amazon Resource Name (ARN) for the IAM role that the proxy uses to access Amazon Secrets Manager.
"
},
- "Status": {
+ "Endpoint": {
+ "shape": "String",
+ "documentation": "The endpoint that you can use to connect to the proxy. You include the endpoint value in the connection string for a database client application.
"
+ },
+ "RequireTLS": {
+ "shape": "Boolean",
+ "documentation": "Indicates whether Transport Layer Security (TLS) encryption is required for connections to the proxy.
"
+ },
+ "IdleClientTimeout": {
+ "shape": "Integer",
+ "documentation": "The number of seconds a connection to the proxy can have no activity before the proxy drops the client connection. The proxy keeps the underlying database connection open and puts it back into the connection pool for reuse by later connection requests.
Default: 1800 (30 minutes)
Constraints: 1 to 28,800
"
+ },
+ "DebugLogging": {
+ "shape": "Boolean",
+ "documentation": "Whether the proxy includes detailed information about SQL statements in its logs. This information helps you to debug issues involving SQL behavior or the performance and scalability of the proxy connections. The debug information includes the text of SQL statements that you submit through the proxy. Thus, only enable this setting when needed for debugging, and only when you have security measures in place to safeguard any sensitive information that appears in the logs.
"
+ },
+ "CreatedDate": {
+ "shape": "TStamp",
+ "documentation": "The date and time when the proxy was first created.
"
+ },
+ "UpdatedDate": {
+ "shape": "TStamp",
+ "documentation": "The date and time when the proxy was last updated.
"
+ }
+ },
+ "documentation": " This is prerelease documentation for the RDS Database Proxy feature in preview release. It is subject to change.
The data structure representing a proxy managed by the RDS Proxy.
This data type is used as a response element in the DescribeDBProxies
action.
"
+ },
+ "DBProxyList": {
+ "type": "list",
+ "member": {
+ "shape": "DBProxy"
+ }
+ },
+ "DBProxyStatus": {
+ "type": "string",
+ "enum": [
+ "available",
+ "modifying",
+ "incompatible-network",
+ "insufficient-resource-limits",
+ "creating",
+ "deleting"
+ ]
+ },
+ "DBProxyTarget": {
+ "type": "structure",
+ "members": {
+ "TargetArn": {
+ "shape": "String",
+ "documentation": "The Amazon Resource Name (ARN) for the RDS DB instance or Aurora DB cluster.
"
+ },
+ "Endpoint": {
+ "shape": "String",
+ "documentation": "The writer endpoint for the RDS DB instance or Aurora DB cluster.
"
+ },
+ "TrackedClusterId": {
+ "shape": "String",
+ "documentation": "The DB cluster identifier when the target represents an Aurora DB cluster. This field is blank when the target represents an
"
+ },
+ "RdsResourceId": {
+ "shape": "String",
+ "documentation": "The identifier representing the target. It can be the instance identifier for an RDS DB instance, or the cluster identifier for an Aurora DB cluster.
"
+ },
+ "Port": {
+ "shape": "Integer",
+ "documentation": "The port that the RDS Proxy uses to connect to the target RDS DB instance or Aurora DB cluster.
"
+ },
+ "Type": {
+ "shape": "TargetType",
+ "documentation": "Specifies the kind of database, such as an RDS DB instance or an Aurora DB cluster, that the target represents.
"
+ }
+ },
+ "documentation": " This is prerelease documentation for the RDS Database Proxy feature in preview release. It is subject to change.
Contains the details for an RDS Proxy target. It represents an RDS DB instance or Aurora DB cluster that the proxy can connect to. One or more targets are associated with an RDS Proxy target group.
This data type is used as a response element in the DescribeDBProxyTargets
action.
"
+ },
+ "DBProxyTargetGroup": {
+ "type": "structure",
+ "members": {
+ "DBProxyName": {
+ "shape": "String",
+ "documentation": "The identifier for the RDS proxy associated with this target group.
"
+ },
+ "TargetGroupName": {
+ "shape": "String",
+ "documentation": "The identifier for the target group. This name must be unique for all target groups owned by your AWS account in the specified AWS Region.
"
+ },
+ "TargetGroupArn": {
+ "shape": "String",
+ "documentation": "The Amazon Resource Name (ARN) representing the target group.
"
+ },
+ "IsDefault": {
+ "shape": "Boolean",
+ "documentation": "Whether this target group is the first one used for connection requests by the associated proxy. Because each proxy is currently associated with a single target group, currently this setting is always true
.
"
+ },
+ "Status": {
+ "shape": "String",
+ "documentation": "The current status of this target group. A status of available
means the target group is correctly associated with a database. Other values indicate that you must wait for the target group to be ready, or take some action to resolve an issue.
"
+ },
+ "ConnectionPoolConfig": {
+ "shape": "ConnectionPoolConfigurationInfo",
+ "documentation": "The settings that determine the size and behavior of the connection pool for the target group.
"
+ },
+ "CreatedDate": {
+ "shape": "TStamp",
+ "documentation": "The date and time when the target group was first created.
"
+ },
+ "UpdatedDate": {
+ "shape": "TStamp",
+ "documentation": "The date and time when the target group was last updated.
"
+ }
+ },
+ "documentation": " This is prerelease documentation for the RDS Database Proxy feature in preview release. It is subject to change.
Represents a set of RDS DB instances, Aurora DB clusters, or both that a proxy can connect to. Currently, each target group is associated with exactly one RDS DB instance or Aurora DB cluster.
This data type is used as a response element in the DescribeDBProxyTargetGroups
action.
"
+ },
+ "DBSecurityGroup": {
+ "type": "structure",
+ "members": {
+ "OwnerId": {
+ "shape": "String",
+ "documentation": "Provides the AWS ID of the owner of a specific DB security group.
"
+ },
+ "DBSecurityGroupName": {
+ "shape": "String",
+ "documentation": "Specifies the name of the DB security group.
"
+ },
+ "DBSecurityGroupDescription": {
+ "shape": "String",
+ "documentation": "Provides the description of the DB security group.
"
+ },
+ "VpcId": {
+ "shape": "String",
+ "documentation": "Provides the VpcId of the DB security group.
"
+ },
+ "EC2SecurityGroups": {
+ "shape": "EC2SecurityGroupList",
+ "documentation": " Contains a list of EC2SecurityGroup
elements.
"
+ },
+ "IPRanges": {
+ "shape": "IPRangeList",
+ "documentation": " Contains a list of IPRange
elements.
"
+ },
+ "DBSecurityGroupArn": {
+ "shape": "String",
+ "documentation": "The Amazon Resource Name (ARN) for the DB security group.
"
+ }
+ },
+ "documentation": "Contains the details for an Amazon RDS DB security group.
This data type is used as a response element in the DescribeDBSecurityGroups
action.
",
+ "wrapper": true
+ },
+ "DBSecurityGroupMembership": {
+ "type": "structure",
+ "members": {
+ "DBSecurityGroupName": {
+ "shape": "String",
+ "documentation": "The name of the DB security group.
"
+ },
+ "Status": {
"shape": "String",
"documentation": "The status of the DB security group.
"
}
@@ -6539,6 +7033,27 @@
},
"documentation": ""
},
+ "DeleteDBProxyRequest": {
+ "type": "structure",
+ "required": [
+ "DBProxyName"
+ ],
+ "members": {
+ "DBProxyName": {
+ "shape": "String",
+ "documentation": "The name of the DB proxy to delete.
"
+ }
+ }
+ },
+ "DeleteDBProxyResponse": {
+ "type": "structure",
+ "members": {
+ "DBProxy": {
+ "shape": "DBProxy",
+ "documentation": "The data structure representing the details of the DB proxy that you delete.
"
+ }
+ }
+ },
"DeleteDBSecurityGroupMessage": {
"type": "structure",
"required": [
@@ -6652,6 +7167,34 @@
},
"documentation": ""
},
+ "DeregisterDBProxyTargetsRequest": {
+ "type": "structure",
+ "required": [
+ "DBProxyName"
+ ],
+ "members": {
+ "DBProxyName": {
+ "shape": "String",
+ "documentation": "The identifier of the DBProxy
that is associated with the DBProxyTargetGroup
.
"
+ },
+ "TargetGroupName": {
+ "shape": "String",
+ "documentation": "The identifier of the DBProxyTargetGroup
.
"
+ },
+ "DBInstanceIdentifiers": {
+ "shape": "StringList",
+ "documentation": "One or more DB instance identifiers.
"
+ },
+ "DBClusterIdentifiers": {
+ "shape": "StringList",
+ "documentation": "One or more DB cluster identifiers.
"
+ }
+ }
+ },
+ "DeregisterDBProxyTargetsResponse": {
+ "type": "structure",
+ "members": {}
+ },
"DescribeAccountAttributesMessage": {
"type": "structure",
"members": {},
@@ -7109,6 +7652,122 @@
}
}
},
+ "DescribeDBProxiesRequest": {
+ "type": "structure",
+ "members": {
+ "DBProxyName": {
+ "shape": "String",
+ "documentation": "The name of the DB proxy.
"
+ },
+ "Filters": {
+ "shape": "FilterList",
+ "documentation": "This parameter is not currently supported.
"
+ },
+ "Marker": {
+ "shape": "String",
+ "documentation": " An optional pagination token provided by a previous request. If this parameter is specified, the response includes only records beyond the marker, up to the value specified by MaxRecords
.
"
+ },
+ "MaxRecords": {
+ "shape": "MaxRecords",
+ "documentation": "The maximum number of records to include in the response. If more records exist than the specified MaxRecords
value, a pagination token called a marker is included in the response so that the remaining results can be retrieved.
Default: 100
Constraints: Minimum 20, maximum 100.
"
+ }
+ }
+ },
+ "DescribeDBProxiesResponse": {
+ "type": "structure",
+ "members": {
+ "DBProxies": {
+ "shape": "DBProxyList",
+ "documentation": "A return value representing an arbitrary number of DBProxy
data structures.
"
+ },
+ "Marker": {
+ "shape": "String",
+ "documentation": " An optional pagination token provided by a previous request. If this parameter is specified, the response includes only records beyond the marker, up to the value specified by MaxRecords
.
"
+ }
+ }
+ },
+ "DescribeDBProxyTargetGroupsRequest": {
+ "type": "structure",
+ "required": [
+ "DBProxyName"
+ ],
+ "members": {
+ "DBProxyName": {
+ "shape": "String",
+ "documentation": "The identifier of the DBProxy
associated with the target group.
"
+ },
+ "TargetGroupName": {
+ "shape": "String",
+ "documentation": "The identifier of the DBProxyTargetGroup
to describe.
"
+ },
+ "Filters": {
+ "shape": "FilterList",
+ "documentation": "This parameter is not currently supported.
"
+ },
+ "Marker": {
+ "shape": "String",
+ "documentation": " An optional pagination token provided by a previous request. If this parameter is specified, the response includes only records beyond the marker, up to the value specified by MaxRecords
.
"
+ },
+ "MaxRecords": {
+ "shape": "MaxRecords",
+ "documentation": " The maximum number of records to include in the response. If more records exist than the specified MaxRecords
value, a pagination token called a marker is included in the response so that the remaining results can be retrieved.
Default: 100
Constraints: Minimum 20, maximum 100.
"
+ }
+ }
+ },
+ "DescribeDBProxyTargetGroupsResponse": {
+ "type": "structure",
+ "members": {
+ "TargetGroups": {
+ "shape": "TargetGroupList",
+ "documentation": "An arbitrary number of DBProxyTargetGroup
objects, containing details of the corresponding target groups.
"
+ },
+ "Marker": {
+ "shape": "String",
+ "documentation": " An optional pagination token provided by a previous request. If this parameter is specified, the response includes only records beyond the marker, up to the value specified by MaxRecords
.
"
+ }
+ }
+ },
+ "DescribeDBProxyTargetsRequest": {
+ "type": "structure",
+ "required": [
+ "DBProxyName"
+ ],
+ "members": {
+ "DBProxyName": {
+ "shape": "String",
+ "documentation": "The identifier of the DBProxyTarget
to describe.
"
+ },
+ "TargetGroupName": {
+ "shape": "String",
+ "documentation": "The identifier of the DBProxyTargetGroup
to describe.
"
+ },
+ "Filters": {
+ "shape": "FilterList",
+ "documentation": "This parameter is not currently supported.
"
+ },
+ "Marker": {
+ "shape": "String",
+ "documentation": " An optional pagination token provided by a previous request. If this parameter is specified, the response includes only records beyond the marker, up to the value specified by MaxRecords
.
"
+ },
+ "MaxRecords": {
+ "shape": "MaxRecords",
+ "documentation": " The maximum number of records to include in the response. If more records exist than the specified MaxRecords
value, a pagination token called a marker is included in the response so that the remaining results can be retrieved.
Default: 100
Constraints: Minimum 20, maximum 100.
"
+ }
+ }
+ },
+ "DescribeDBProxyTargetsResponse": {
+ "type": "structure",
+ "members": {
+ "Targets": {
+ "shape": "TargetList",
+ "documentation": "An arbitrary number of DBProxyTarget
objects, containing details of the corresponding targets.
"
+ },
+ "Marker": {
+ "shape": "String",
+ "documentation": " An optional pagination token provided by a previous request. If this parameter is specified, the response includes only records beyond the marker, up to the value specified by MaxRecords
.
"
+ }
+ }
+ },
"DescribeDBSecurityGroupsMessage": {
"type": "structure",
"members": {
@@ -7826,6 +8485,12 @@
"documentation": " Contains the result of a successful invocation of the DescribeEngineDefaultParameters
action.
",
"wrapper": true
},
+ "EngineFamily": {
+ "type": "string",
+ "enum": [
+ "MYSQL"
+ ]
+ },
"EngineModeList": {
"type": "list",
"member": {
@@ -8146,6 +8811,13 @@
}
}
},
+ "IAMAuthMode": {
+ "type": "string",
+ "enum": [
+ "DISABLED",
+ "REQUIRED"
+ ]
+ },
"IPRange": {
"type": "structure",
"members": {
@@ -8308,6 +8980,11 @@
"LongOptional": {
"type": "long"
},
+ "MaxRecords": {
+ "type": "integer",
+ "max": 100,
+ "min": 20
+ },
"MinimumEngineVersionPerAllowedValue": {
"type": "structure",
"members": {
@@ -8729,6 +9406,89 @@
},
"documentation": ""
},
+ "ModifyDBProxyRequest": {
+ "type": "structure",
+ "required": [
+ "DBProxyName"
+ ],
+ "members": {
+ "DBProxyName": {
+ "shape": "String",
+ "documentation": "The identifier for the DBProxy
to modify.
"
+ },
+ "NewDBProxyName": {
+ "shape": "String",
+ "documentation": "The new identifier for the DBProxy
. An identifier must begin with a letter and must contain only ASCII letters, digits, and hyphens; it can't end with a hyphen or contain two consecutive hyphens.
"
+ },
+ "Auth": {
+ "shape": "UserAuthConfigList",
+ "documentation": "The new authentication settings for the DBProxy
.
"
+ },
+ "RequireTLS": {
+ "shape": "BooleanOptional",
+ "documentation": "Whether Transport Layer Security (TLS) encryption is required for connections to the proxy. By enabling this setting, you can enforce encrypted TLS connections to the proxy, even if the associated database doesn't use TLS.
"
+ },
+ "IdleClientTimeout": {
+ "shape": "IntegerOptional",
+ "documentation": "The number of seconds that a connection to the proxy can be inactive before the proxy disconnects it. You can set this value higher or lower than the connection timeout limit for the associated database.
"
+ },
+ "DebugLogging": {
+ "shape": "BooleanOptional",
+ "documentation": "Whether the proxy includes detailed information about SQL statements in its logs. This information helps you to debug issues involving SQL behavior or the performance and scalability of the proxy connections. The debug information includes the text of SQL statements that you submit through the proxy. Thus, only enable this setting when needed for debugging, and only when you have security measures in place to safeguard any sensitive information that appears in the logs.
"
+ },
+ "RoleArn": {
+ "shape": "String",
+ "documentation": "The Amazon Resource Name (ARN) of the IAM role that the proxy uses to access secrets in AWS Secrets Manager.
"
+ },
+ "SecurityGroups": {
+ "shape": "StringList",
+ "documentation": "The new list of security groups for the DBProxy
.
"
+ }
+ }
+ },
+ "ModifyDBProxyResponse": {
+ "type": "structure",
+ "members": {
+ "DBProxy": {
+ "shape": "DBProxy",
+ "documentation": "The DBProxy
object representing the new settings for the proxy.
"
+ }
+ }
+ },
+ "ModifyDBProxyTargetGroupRequest": {
+ "type": "structure",
+ "required": [
+ "TargetGroupName",
+ "DBProxyName"
+ ],
+ "members": {
+ "TargetGroupName": {
+ "shape": "String",
+ "documentation": "The name of the new target group to assign to the proxy.
"
+ },
+ "DBProxyName": {
+ "shape": "String",
+ "documentation": "The name of the new proxy to which to assign the target group.
"
+ },
+ "ConnectionPoolConfig": {
+ "shape": "ConnectionPoolConfiguration",
+ "documentation": "The settings that determine the size and behavior of the connection pool for the target group.
"
+ },
+ "NewName": {
+ "shape": "String",
+ "documentation": "The new name for the modified DBProxyTarget
. An identifier must begin with a letter and must contain only ASCII letters, digits, and hyphens; it can't end with a hyphen or contain two consecutive hyphens.
"
+ }
+ }
+ },
+ "ModifyDBProxyTargetGroupResponse": {
+ "type": "structure",
+ "members": {
+ "DBProxyTargetGroup": {
+ "shape": "DBProxyTargetGroup",
+ "documentation": "The settings of the modified DBProxyTarget
.
"
+ }
+ }
+ },
"ModifyDBSnapshotAttributeMessage": {
"type": "structure",
"required": [
@@ -9839,6 +10599,39 @@
"locationName": "RecurringCharge"
}
},
+ "RegisterDBProxyTargetsRequest": {
+ "type": "structure",
+ "required": [
+ "DBProxyName"
+ ],
+ "members": {
+ "DBProxyName": {
+ "shape": "String",
+ "documentation": "The identifier of the DBProxy
that is associated with the DBProxyTargetGroup
.
"
+ },
+ "TargetGroupName": {
+ "shape": "String",
+ "documentation": "The identifier of the DBProxyTargetGroup
.
"
+ },
+ "DBInstanceIdentifiers": {
+ "shape": "StringList",
+ "documentation": "One or more DB instance identifiers.
"
+ },
+ "DBClusterIdentifiers": {
+ "shape": "StringList",
+ "documentation": "One or more DB cluster identifiers.
"
+ }
+ }
+ },
+ "RegisterDBProxyTargetsResponse": {
+ "type": "structure",
+ "members": {
+ "DBProxyTargets": {
+ "shape": "TargetList",
+ "documentation": "One or more DBProxyTarget
objects that are created when you register targets with a target group.
"
+ }
+ }
+ },
"RemoveFromGlobalClusterMessage": {
"type": "structure",
"members": {
@@ -11370,6 +12163,26 @@
},
"documentation": ""
},
+ "TargetGroupList": {
+ "type": "list",
+ "member": {
+ "shape": "DBProxyTargetGroup"
+ }
+ },
+ "TargetList": {
+ "type": "list",
+ "member": {
+ "shape": "DBProxyTarget"
+ }
+ },
+ "TargetType": {
+ "type": "string",
+ "enum": [
+ "RDS_INSTANCE",
+ "RDS_SERVERLESS_ENDPOINT",
+ "TRACKED_CLUSTER"
+ ]
+ },
"Timezone": {
"type": "structure",
"members": {
@@ -11406,6 +12219,70 @@
},
"documentation": "The version of the database engine that a DB instance can be upgraded to.
"
},
+ "UserAuthConfig": {
+ "type": "structure",
+ "members": {
+ "Description": {
+ "shape": "String",
+ "documentation": "A user-specified description about the authentication used by a proxy to log in as a specific database user.
"
+ },
+ "UserName": {
+ "shape": "String",
+ "documentation": "The name of the database user to which the proxy connects.
"
+ },
+ "AuthScheme": {
+ "shape": "AuthScheme",
+ "documentation": "The type of authentication that the proxy uses for connections from the proxy to the underlying database.
"
+ },
+ "SecretArn": {
+ "shape": "String",
+ "documentation": "The Amazon Resource Name (ARN) representing the secret that the proxy uses to authenticate to the RDS DB instance or Aurora DB cluster. These secrets are stored within Amazon Secrets Manager.
"
+ },
+ "IAMAuth": {
+ "shape": "IAMAuthMode",
+ "documentation": "Whether to require or disallow AWS Identity and Access Management (IAM) authentication for connections to the proxy.
"
+ }
+ },
+ "documentation": " This is prerelease documentation for the RDS Database Proxy feature in preview release. It is subject to change.
Specifies the details of authentication used by a proxy to log in as a specific database user.
"
+ },
+ "UserAuthConfigInfo": {
+ "type": "structure",
+ "members": {
+ "Description": {
+ "shape": "String",
+ "documentation": "A user-specified description about the authentication used by a proxy to log in as a specific database user.
"
+ },
+ "UserName": {
+ "shape": "String",
+ "documentation": "The name of the database user to which the proxy connects.
"
+ },
+ "AuthScheme": {
+ "shape": "AuthScheme",
+ "documentation": "The type of authentication that the proxy uses for connections from the proxy to the underlying database.
"
+ },
+ "SecretArn": {
+ "shape": "String",
+ "documentation": "The Amazon Resource Name (ARN) representing the secret that the proxy uses to authenticate to the RDS DB instance or Aurora DB cluster. These secrets are stored within Amazon Secrets Manager.
"
+ },
+ "IAMAuth": {
+ "shape": "IAMAuthMode",
+ "documentation": "Whether to require or disallow AWS Identity and Access Management (IAM) authentication for connections to the proxy.
"
+ }
+ },
+ "documentation": " This is prerelease documentation for the RDS Database Proxy feature in preview release. It is subject to change.
Returns the details of authentication used by a proxy to log in as a specific database user.
"
+ },
+ "UserAuthConfigInfoList": {
+ "type": "list",
+ "member": {
+ "shape": "UserAuthConfigInfo"
+ }
+ },
+ "UserAuthConfigList": {
+ "type": "list",
+ "member": {
+ "shape": "UserAuthConfig"
+ }
+ },
"ValidDBInstanceModificationsMessage": {
"type": "structure",
"members": {
diff --git a/apis/rds-2014-10-31.paginators.json b/apis/rds-2014-10-31.paginators.json
index 56bc661c4d..30842426e4 100644
--- a/apis/rds-2014-10-31.paginators.json
+++ b/apis/rds-2014-10-31.paginators.json
@@ -48,6 +48,24 @@
"output_token": "Marker",
"result_key": "Parameters"
},
+ "DescribeDBProxies": {
+ "input_token": "Marker",
+ "limit_key": "MaxRecords",
+ "output_token": "Marker",
+ "result_key": "DBProxies"
+ },
+ "DescribeDBProxyTargetGroups": {
+ "input_token": "Marker",
+ "limit_key": "MaxRecords",
+ "output_token": "Marker",
+ "result_key": "TargetGroups"
+ },
+ "DescribeDBProxyTargets": {
+ "input_token": "Marker",
+ "limit_key": "MaxRecords",
+ "output_token": "Marker",
+ "result_key": "Targets"
+ },
"DescribeDBSecurityGroups": {
"input_token": "Marker",
"limit_key": "MaxRecords",
diff --git a/apis/rekognition-2016-06-27.min.json b/apis/rekognition-2016-06-27.min.json
index 0623072b8e..4052117004 100644
--- a/apis/rekognition-2016-06-27.min.json
+++ b/apis/rekognition-2016-06-27.min.json
@@ -92,6 +92,54 @@
}
}
},
+ "CreateProject": {
+ "input": {
+ "type": "structure",
+ "required": [
+ "ProjectName"
+ ],
+ "members": {
+ "ProjectName": {}
+ }
+ },
+ "output": {
+ "type": "structure",
+ "members": {
+ "ProjectArn": {}
+ }
+ }
+ },
+ "CreateProjectVersion": {
+ "input": {
+ "type": "structure",
+ "required": [
+ "ProjectArn",
+ "VersionName",
+ "OutputConfig",
+ "TrainingData",
+ "TestingData"
+ ],
+ "members": {
+ "ProjectArn": {},
+ "VersionName": {},
+ "OutputConfig": {
+ "shape": "S10"
+ },
+ "TrainingData": {
+ "shape": "S12"
+ },
+ "TestingData": {
+ "shape": "S16"
+ }
+ }
+ },
+ "output": {
+ "type": "structure",
+ "members": {
+ "ProjectVersionArn": {}
+ }
+ }
+ },
"CreateStreamProcessor": {
"input": {
"type": "structure",
@@ -104,14 +152,14 @@
],
"members": {
"Input": {
- "shape": "Sv"
+ "shape": "S1b"
},
"Output": {
- "shape": "Sy"
+ "shape": "S1e"
},
"Name": {},
"Settings": {
- "shape": "S12"
+ "shape": "S1i"
},
"RoleArn": {}
}
@@ -152,7 +200,7 @@
"members": {
"CollectionId": {},
"FaceIds": {
- "shape": "S1a"
+ "shape": "S1q"
}
}
},
@@ -160,7 +208,7 @@
"type": "structure",
"members": {
"DeletedFaces": {
- "shape": "S1a"
+ "shape": "S1q"
}
}
}
@@ -204,6 +252,125 @@
}
}
},
+ "DescribeProjectVersions": {
+ "input": {
+ "type": "structure",
+ "required": [
+ "ProjectArn"
+ ],
+ "members": {
+ "ProjectArn": {},
+ "VersionNames": {
+ "type": "list",
+ "member": {}
+ },
+ "NextToken": {},
+ "MaxResults": {
+ "type": "integer"
+ }
+ }
+ },
+ "output": {
+ "type": "structure",
+ "members": {
+ "ProjectVersionDescriptions": {
+ "type": "list",
+ "member": {
+ "type": "structure",
+ "members": {
+ "ProjectVersionArn": {},
+ "CreationTimestamp": {
+ "type": "timestamp"
+ },
+ "MinInferenceUnits": {
+ "type": "integer"
+ },
+ "Status": {},
+ "StatusMessage": {},
+ "BillableTrainingTimeInSeconds": {
+ "type": "long"
+ },
+ "TrainingEndTimestamp": {
+ "type": "timestamp"
+ },
+ "OutputConfig": {
+ "shape": "S10"
+ },
+ "TrainingDataResult": {
+ "type": "structure",
+ "members": {
+ "Input": {
+ "shape": "S12"
+ },
+ "Output": {
+ "shape": "S12"
+ }
+ }
+ },
+ "TestingDataResult": {
+ "type": "structure",
+ "members": {
+ "Input": {
+ "shape": "S16"
+ },
+ "Output": {
+ "shape": "S16"
+ }
+ }
+ },
+ "EvaluationResult": {
+ "type": "structure",
+ "members": {
+ "F1Score": {
+ "type": "float"
+ },
+ "Summary": {
+ "type": "structure",
+ "members": {
+ "S3Object": {
+ "shape": "S4"
+ }
+ }
+ }
+ }
+ }
+ }
+ }
+ },
+ "NextToken": {}
+ }
+ }
+ },
+ "DescribeProjects": {
+ "input": {
+ "type": "structure",
+ "members": {
+ "NextToken": {},
+ "MaxResults": {
+ "type": "integer"
+ }
+ }
+ },
+ "output": {
+ "type": "structure",
+ "members": {
+ "ProjectDescriptions": {
+ "type": "list",
+ "member": {
+ "type": "structure",
+ "members": {
+ "ProjectArn": {},
+ "CreationTimestamp": {
+ "type": "timestamp"
+ },
+ "Status": {}
+ }
+ }
+ },
+ "NextToken": {}
+ }
+ }
+ },
"DescribeStreamProcessor": {
"input": {
"type": "structure",
@@ -228,14 +395,55 @@
"type": "timestamp"
},
"Input": {
- "shape": "Sv"
+ "shape": "S1b"
},
"Output": {
- "shape": "Sy"
+ "shape": "S1e"
},
"RoleArn": {},
"Settings": {
- "shape": "S12"
+ "shape": "S1i"
+ }
+ }
+ }
+ },
+ "DetectCustomLabels": {
+ "input": {
+ "type": "structure",
+ "required": [
+ "ProjectVersionArn",
+ "Image"
+ ],
+ "members": {
+ "ProjectVersionArn": {},
+ "Image": {
+ "shape": "S2"
+ },
+ "MaxResults": {
+ "type": "integer"
+ },
+ "MinConfidence": {
+ "type": "float"
+ }
+ }
+ },
+ "output": {
+ "type": "structure",
+ "members": {
+ "CustomLabels": {
+ "type": "list",
+ "member": {
+ "type": "structure",
+ "members": {
+ "Name": {},
+ "Confidence": {
+ "type": "float"
+ },
+ "Geometry": {
+ "shape": "S2q"
+ }
+ }
+ }
}
}
}
@@ -251,7 +459,7 @@
"shape": "S2"
},
"Attributes": {
- "shape": "S1n"
+ "shape": "S2u"
}
}
},
@@ -261,7 +469,7 @@
"FaceDetails": {
"type": "list",
"member": {
- "shape": "S1r"
+ "shape": "S2y"
}
},
"OrientationCorrection": {}
@@ -292,7 +500,7 @@
"Labels": {
"type": "list",
"member": {
- "shape": "S29"
+ "shape": "S3f"
}
},
"OrientationCorrection": {},
@@ -312,6 +520,26 @@
},
"MinConfidence": {
"type": "float"
+ },
+ "HumanLoopConfig": {
+ "type": "structure",
+ "required": [
+ "HumanLoopName",
+ "FlowDefinitionArn"
+ ],
+ "members": {
+ "HumanLoopName": {},
+ "FlowDefinitionArn": {},
+ "DataAttributes": {
+ "type": "structure",
+ "members": {
+ "ContentClassifiers": {
+ "type": "list",
+ "member": {}
+ }
+ }
+ }
+ }
}
}
},
@@ -321,10 +549,23 @@
"ModerationLabels": {
"type": "list",
"member": {
- "shape": "S2h"
+ "shape": "S3t"
}
},
- "ModerationModelVersion": {}
+ "ModerationModelVersion": {},
+ "HumanLoopActivationOutput": {
+ "type": "structure",
+ "members": {
+ "HumanLoopArn": {},
+ "HumanLoopActivationReasons": {
+ "type": "list",
+ "member": {}
+ },
+ "HumanLoopActivationConditionsEvaluationResults": {
+ "jsonvalue": true
+ }
+ }
+ }
}
}
},
@@ -360,26 +601,7 @@
"type": "float"
},
"Geometry": {
- "type": "structure",
- "members": {
- "BoundingBox": {
- "shape": "Sc"
- },
- "Polygon": {
- "type": "list",
- "member": {
- "type": "structure",
- "members": {
- "X": {
- "type": "float"
- },
- "Y": {
- "type": "float"
- }
- }
- }
- }
- }
+ "shape": "S2q"
}
}
}
@@ -401,7 +623,7 @@
"type": "structure",
"members": {
"Urls": {
- "shape": "S2t"
+ "shape": "S47"
},
"Name": {}
}
@@ -428,7 +650,7 @@
"JobStatus": {},
"StatusMessage": {},
"VideoMetadata": {
- "shape": "S33"
+ "shape": "S4g"
},
"NextToken": {},
"Celebrities": {
@@ -443,7 +665,7 @@
"type": "structure",
"members": {
"Urls": {
- "shape": "S2t"
+ "shape": "S47"
},
"Name": {},
"Id": {},
@@ -454,7 +676,7 @@
"shape": "Sc"
},
"Face": {
- "shape": "S1r"
+ "shape": "S2y"
}
}
}
@@ -485,7 +707,7 @@
"JobStatus": {},
"StatusMessage": {},
"VideoMetadata": {
- "shape": "S33"
+ "shape": "S4g"
},
"ModerationLabels": {
"type": "list",
@@ -496,7 +718,7 @@
"type": "long"
},
"ModerationLabel": {
- "shape": "S2h"
+ "shape": "S3t"
}
}
}
@@ -526,7 +748,7 @@
"JobStatus": {},
"StatusMessage": {},
"VideoMetadata": {
- "shape": "S33"
+ "shape": "S4g"
},
"NextToken": {},
"Faces": {
@@ -538,7 +760,7 @@
"type": "long"
},
"Face": {
- "shape": "S1r"
+ "shape": "S2y"
}
}
}
@@ -568,7 +790,7 @@
"StatusMessage": {},
"NextToken": {},
"VideoMetadata": {
- "shape": "S33"
+ "shape": "S4g"
},
"Persons": {
"type": "list",
@@ -579,10 +801,10 @@
"type": "long"
},
"Person": {
- "shape": "S3m"
+ "shape": "S4z"
},
"FaceMatches": {
- "shape": "S3o"
+ "shape": "S51"
}
}
}
@@ -611,7 +833,7 @@
"JobStatus": {},
"StatusMessage": {},
"VideoMetadata": {
- "shape": "S33"
+ "shape": "S4g"
},
"NextToken": {},
"Labels": {
@@ -623,7 +845,7 @@
"type": "long"
},
"Label": {
- "shape": "S29"
+ "shape": "S3f"
}
}
}
@@ -653,7 +875,7 @@
"JobStatus": {},
"StatusMessage": {},
"VideoMetadata": {
- "shape": "S33"
+ "shape": "S4g"
},
"NextToken": {},
"Persons": {
@@ -665,7 +887,7 @@
"type": "long"
},
"Person": {
- "shape": "S3m"
+ "shape": "S4z"
}
}
}
@@ -687,7 +909,7 @@
},
"ExternalImageId": {},
"DetectionAttributes": {
- "shape": "S1n"
+ "shape": "S2u"
},
"MaxFaces": {
"type": "integer"
@@ -704,10 +926,10 @@
"type": "structure",
"members": {
"Face": {
- "shape": "S3q"
+ "shape": "S53"
},
"FaceDetail": {
- "shape": "S1r"
+ "shape": "S2y"
}
}
}
@@ -724,7 +946,7 @@
"member": {}
},
"FaceDetail": {
- "shape": "S1r"
+ "shape": "S2y"
}
}
}
@@ -777,7 +999,7 @@
"Faces": {
"type": "list",
"member": {
- "shape": "S3q"
+ "shape": "S53"
}
},
"NextToken": {},
@@ -833,7 +1055,7 @@
"type": "structure",
"members": {
"Urls": {
- "shape": "S2t"
+ "shape": "S47"
},
"Name": {},
"Id": {},
@@ -879,7 +1101,7 @@
"members": {
"SearchedFaceId": {},
"FaceMatches": {
- "shape": "S3o"
+ "shape": "S51"
},
"FaceModelVersion": {}
}
@@ -916,7 +1138,7 @@
"type": "float"
},
"FaceMatches": {
- "shape": "S3o"
+ "shape": "S51"
},
"FaceModelVersion": {}
}
@@ -930,11 +1152,11 @@
],
"members": {
"Video": {
- "shape": "S4z"
+ "shape": "S6c"
},
"ClientRequestToken": {},
"NotificationChannel": {
- "shape": "S51"
+ "shape": "S6e"
},
"JobTag": {}
}
@@ -955,14 +1177,14 @@
],
"members": {
"Video": {
- "shape": "S4z"
+ "shape": "S6c"
},
"MinConfidence": {
"type": "float"
},
"ClientRequestToken": {},
"NotificationChannel": {
- "shape": "S51"
+ "shape": "S6e"
},
"JobTag": {}
}
@@ -983,11 +1205,11 @@
],
"members": {
"Video": {
- "shape": "S4z"
+ "shape": "S6c"
},
"ClientRequestToken": {},
"NotificationChannel": {
- "shape": "S51"
+ "shape": "S6e"
},
"FaceAttributes": {},
"JobTag": {}
@@ -1010,7 +1232,7 @@
],
"members": {
"Video": {
- "shape": "S4z"
+ "shape": "S6c"
},
"ClientRequestToken": {},
"FaceMatchThreshold": {
@@ -1018,7 +1240,7 @@
},
"CollectionId": {},
"NotificationChannel": {
- "shape": "S51"
+ "shape": "S6e"
},
"JobTag": {}
}
@@ -1039,14 +1261,14 @@
],
"members": {
"Video": {
- "shape": "S4z"
+ "shape": "S6c"
},
"ClientRequestToken": {},
"MinConfidence": {
"type": "float"
},
"NotificationChannel": {
- "shape": "S51"
+ "shape": "S6e"
},
"JobTag": {}
}
@@ -1067,11 +1289,11 @@
],
"members": {
"Video": {
- "shape": "S4z"
+ "shape": "S6c"
},
"ClientRequestToken": {},
"NotificationChannel": {
- "shape": "S51"
+ "shape": "S6e"
},
"JobTag": {}
}
@@ -1084,6 +1306,27 @@
},
"idempotent": true
},
+ "StartProjectVersion": {
+ "input": {
+ "type": "structure",
+ "required": [
+ "ProjectVersionArn",
+ "MinInferenceUnits"
+ ],
+ "members": {
+ "ProjectVersionArn": {},
+ "MinInferenceUnits": {
+ "type": "integer"
+ }
+ }
+ },
+ "output": {
+ "type": "structure",
+ "members": {
+ "Status": {}
+ }
+ }
+ },
"StartStreamProcessor": {
"input": {
"type": "structure",
@@ -1099,6 +1342,23 @@
"members": {}
}
},
+ "StopProjectVersion": {
+ "input": {
+ "type": "structure",
+ "required": [
+ "ProjectVersionArn"
+ ],
+ "members": {
+ "ProjectVersionArn": {}
+ }
+ },
+ "output": {
+ "type": "structure",
+ "members": {
+ "Status": {}
+ }
+ }
+ },
"StopStreamProcessor": {
"input": {
"type": "structure",
@@ -1212,7 +1472,49 @@
}
}
},
- "Sv": {
+ "S10": {
+ "type": "structure",
+ "members": {
+ "S3Bucket": {},
+ "S3KeyPrefix": {}
+ }
+ },
+ "S12": {
+ "type": "structure",
+ "members": {
+ "Assets": {
+ "shape": "S13"
+ }
+ }
+ },
+ "S13": {
+ "type": "list",
+ "member": {
+ "type": "structure",
+ "members": {
+ "GroundTruthManifest": {
+ "type": "structure",
+ "members": {
+ "S3Object": {
+ "shape": "S4"
+ }
+ }
+ }
+ }
+ }
+ },
+ "S16": {
+ "type": "structure",
+ "members": {
+ "Assets": {
+ "shape": "S13"
+ },
+ "AutoCreate": {
+ "type": "boolean"
+ }
+ }
+ },
+ "S1b": {
"type": "structure",
"members": {
"KinesisVideoStream": {
@@ -1223,7 +1525,7 @@
}
}
},
- "Sy": {
+ "S1e": {
"type": "structure",
"members": {
"KinesisDataStream": {
@@ -1234,7 +1536,7 @@
}
}
},
- "S12": {
+ "S1i": {
"type": "structure",
"members": {
"FaceSearch": {
@@ -1248,15 +1550,37 @@
}
}
},
- "S1a": {
+ "S1q": {
"type": "list",
"member": {}
},
- "S1n": {
+ "S2q": {
+ "type": "structure",
+ "members": {
+ "BoundingBox": {
+ "shape": "Sc"
+ },
+ "Polygon": {
+ "type": "list",
+ "member": {
+ "type": "structure",
+ "members": {
+ "X": {
+ "type": "float"
+ },
+ "Y": {
+ "type": "float"
+ }
+ }
+ }
+ }
+ }
+ },
+ "S2u": {
"type": "list",
"member": {}
},
- "S1r": {
+ "S2y": {
"type": "structure",
"members": {
"BoundingBox": {
@@ -1385,7 +1709,7 @@
}
}
},
- "S29": {
+ "S3f": {
"type": "structure",
"members": {
"Name": {},
@@ -1417,7 +1741,7 @@
}
}
},
- "S2h": {
+ "S3t": {
"type": "structure",
"members": {
"Confidence": {
@@ -1427,11 +1751,11 @@
"ParentName": {}
}
},
- "S2t": {
+ "S47": {
"type": "list",
"member": {}
},
- "S33": {
+ "S4g": {
"type": "structure",
"members": {
"Codec": {},
@@ -1450,7 +1774,7 @@
}
}
},
- "S3m": {
+ "S4z": {
"type": "structure",
"members": {
"Index": {
@@ -1460,11 +1784,11 @@
"shape": "Sc"
},
"Face": {
- "shape": "S1r"
+ "shape": "S2y"
}
}
},
- "S3o": {
+ "S51": {
"type": "list",
"member": {
"type": "structure",
@@ -1473,12 +1797,12 @@
"type": "float"
},
"Face": {
- "shape": "S3q"
+ "shape": "S53"
}
}
}
},
- "S3q": {
+ "S53": {
"type": "structure",
"members": {
"FaceId": {},
@@ -1492,7 +1816,7 @@
}
}
},
- "S4z": {
+ "S6c": {
"type": "structure",
"members": {
"S3Object": {
@@ -1500,7 +1824,7 @@
}
}
},
- "S51": {
+ "S6e": {
"type": "structure",
"required": [
"SNSTopicArn",
diff --git a/apis/rekognition-2016-06-27.normal.json b/apis/rekognition-2016-06-27.normal.json
index 81dc0a4c0e..cf2a966f3d 100644
--- a/apis/rekognition-2016-06-27.normal.json
+++ b/apis/rekognition-2016-06-27.normal.json
@@ -50,7 +50,7 @@
"shape": "InvalidImageFormatException"
}
],
- "documentation": "Compares a face in the source input image with each of the 100 largest faces detected in the target input image.
If the source image contains multiple faces, the service detects the largest face and compares it with each face detected in the target image.
You pass the input and target images either as base64-encoded image bytes or as references to images in an Amazon S3 bucket. If you use the AWS CLI to call Amazon Rekognition operations, passing image bytes isn't supported. The image must be formatted as a PNG or JPEG file.
In response, the operation returns an array of face matches ordered by similarity score in descending order. For each face match, the response provides a bounding box of the face, facial landmarks, pose details (pitch, role, and yaw), quality (brightness and sharpness), and confidence value (indicating the level of confidence that the bounding box contains a face). The response also provides a similarity score, which indicates how closely the faces match.
By default, only faces with a similarity score of greater than or equal to 80% are returned in the response. You can change this value by specifying the SimilarityThreshold
parameter.
CompareFaces
also returns an array of faces that don't match the source image. For each face, it returns a bounding box, confidence value, landmarks, pose details, and quality. The response also returns information about the face in the source image, including the bounding box of the face and confidence value.
The QualityFilter
input parameter allows you to filter out detected faces that don’t meet a required quality bar. The quality bar is based on a variety of common use cases. By default, CompareFaces
chooses the quality bar that's used to filter faces. You can also explicitly choose the quality bar. Use QualityFilter
, to set the quality bar by specifying LOW
, MEDIUM
, or HIGH
. If you do not want to filter detected faces, specify NONE
.
To use quality filtering, you need a collection associated with version 3 of the face model or higher. To get the version of the face model associated with a collection, call DescribeCollection.
If the image doesn't contain Exif metadata, CompareFaces
returns orientation information for the source and target images. Use these values to display the images with the correct image orientation.
If no faces are detected in the source or target images, CompareFaces
returns an InvalidParameterException
error.
This is a stateless API operation. That is, data returned by this operation doesn't persist.
For an example, see Comparing Faces in Images in the Amazon Rekognition Developer Guide.
This operation requires permissions to perform the rekognition:CompareFaces
action.
"
+ "documentation": "Compares a face in the source input image with each of the 100 largest faces detected in the target input image.
If the source image contains multiple faces, the service detects the largest face and compares it with each face detected in the target image.
You pass the input and target images either as base64-encoded image bytes or as references to images in an Amazon S3 bucket. If you use the AWS CLI to call Amazon Rekognition operations, passing image bytes isn't supported. The image must be formatted as a PNG or JPEG file.
In response, the operation returns an array of face matches ordered by similarity score in descending order. For each face match, the response provides a bounding box of the face, facial landmarks, pose details (pitch, role, and yaw), quality (brightness and sharpness), and confidence value (indicating the level of confidence that the bounding box contains a face). The response also provides a similarity score, which indicates how closely the faces match.
By default, only faces with a similarity score of greater than or equal to 80% are returned in the response. You can change this value by specifying the SimilarityThreshold
parameter.
CompareFaces
also returns an array of faces that don't match the source image. For each face, it returns a bounding box, confidence value, landmarks, pose details, and quality. The response also returns information about the face in the source image, including the bounding box of the face and confidence value.
The QualityFilter
input parameter allows you to filter out detected faces that don’t meet a required quality bar. The quality bar is based on a variety of common use cases. Use QualityFilter
to set the quality bar by specifying LOW
, MEDIUM
, or HIGH
. If you do not want to filter detected faces, specify NONE
. The default value is NONE
.
To use quality filtering, you need a collection associated with version 3 of the face model or higher. To get the version of the face model associated with a collection, call DescribeCollection.
If the image doesn't contain Exif metadata, CompareFaces
returns orientation information for the source and target images. Use these values to display the images with the correct image orientation.
If no faces are detected in the source or target images, CompareFaces
returns an InvalidParameterException
error.
This is a stateless API operation. That is, data returned by this operation doesn't persist.
For an example, see Comparing Faces in Images in the Amazon Rekognition Developer Guide.
This operation requires permissions to perform the rekognition:CompareFaces
action.
"
},
"CreateCollection": {
"name": "CreateCollection",
@@ -86,6 +86,83 @@
],
"documentation": "Creates a collection in an AWS Region. You can add faces to the collection using the IndexFaces operation.
For example, you might create collections, one for each of your application users. A user can then index faces using the IndexFaces
operation and persist results in a specific collection. Then, a user can search the collection for faces in the user-specific container.
When you create a collection, it is associated with the latest version of the face model version.
Collection names are case-sensitive.
This operation requires permissions to perform the rekognition:CreateCollection
action.
"
},
+ "CreateProject": {
+ "name": "CreateProject",
+ "http": {
+ "method": "POST",
+ "requestUri": "/"
+ },
+ "input": {
+ "shape": "CreateProjectRequest"
+ },
+ "output": {
+ "shape": "CreateProjectResponse"
+ },
+ "errors": [
+ {
+ "shape": "ResourceInUseException"
+ },
+ {
+ "shape": "LimitExceededException"
+ },
+ {
+ "shape": "InvalidParameterException"
+ },
+ {
+ "shape": "AccessDeniedException"
+ },
+ {
+ "shape": "InternalServerError"
+ },
+ {
+ "shape": "ThrottlingException"
+ },
+ {
+ "shape": "ProvisionedThroughputExceededException"
+ }
+ ],
+ "documentation": "Creates a new Amazon Rekognition Custom Labels project. A project is a logical grouping of resources (images, Labels, models) and operations (training, evaluation and detection).
This operation requires permissions to perform the rekognition:CreateProject
action.
"
+ },
+ "CreateProjectVersion": {
+ "name": "CreateProjectVersion",
+ "http": {
+ "method": "POST",
+ "requestUri": "/"
+ },
+ "input": {
+ "shape": "CreateProjectVersionRequest"
+ },
+ "output": {
+ "shape": "CreateProjectVersionResponse"
+ },
+ "errors": [
+ {
+ "shape": "ResourceInUseException"
+ },
+ {
+ "shape": "ResourceNotFoundException"
+ },
+ {
+ "shape": "LimitExceededException"
+ },
+ {
+ "shape": "InvalidParameterException"
+ },
+ {
+ "shape": "AccessDeniedException"
+ },
+ {
+ "shape": "InternalServerError"
+ },
+ {
+ "shape": "ThrottlingException"
+ },
+ {
+ "shape": "ProvisionedThroughputExceededException"
+ }
+ ],
+ "documentation": "Creates a new version of a model and begins training. Models are managed as part of an Amazon Rekognition Custom Labels project. You can specify one training dataset and one testing dataset. The response from CreateProjectVersion
is an Amazon Resource Name (ARN) for the version of the model.
Training takes a while to complete. You can get the current status by calling DescribeProjectVersions.
Once training has successfully completed, call DescribeProjectVersions to get the training results and evaluate the model.
After evaluating the model, you start the model by calling StartProjectVersion.
This operation requires permissions to perform the rekognition:CreateProjectVersion
action.
"
+ },
"CreateStreamProcessor": {
"name": "CreateStreamProcessor",
"http": {
@@ -262,6 +339,77 @@
],
"documentation": "Describes the specified collection. You can use DescribeCollection
to get information, such as the number of faces indexed into a collection and the version of the model used by the collection for face detection.
For more information, see Describing a Collection in the Amazon Rekognition Developer Guide.
"
},
+ "DescribeProjectVersions": {
+ "name": "DescribeProjectVersions",
+ "http": {
+ "method": "POST",
+ "requestUri": "/"
+ },
+ "input": {
+ "shape": "DescribeProjectVersionsRequest"
+ },
+ "output": {
+ "shape": "DescribeProjectVersionsResponse"
+ },
+ "errors": [
+ {
+ "shape": "ResourceNotFoundException"
+ },
+ {
+ "shape": "InvalidPaginationTokenException"
+ },
+ {
+ "shape": "InvalidParameterException"
+ },
+ {
+ "shape": "AccessDeniedException"
+ },
+ {
+ "shape": "InternalServerError"
+ },
+ {
+ "shape": "ThrottlingException"
+ },
+ {
+ "shape": "ProvisionedThroughputExceededException"
+ }
+ ],
+ "documentation": "Lists and describes the models in an Amazon Rekognition Custom Labels project. You can specify up to 10 model versions in ProjectVersionArns
. If you don't specify a value, descriptions for all models are returned.
This operation requires permissions to perform the rekognition:DescribeProjectVersions
action.
"
+ },
+ "DescribeProjects": {
+ "name": "DescribeProjects",
+ "http": {
+ "method": "POST",
+ "requestUri": "/"
+ },
+ "input": {
+ "shape": "DescribeProjectsRequest"
+ },
+ "output": {
+ "shape": "DescribeProjectsResponse"
+ },
+ "errors": [
+ {
+ "shape": "InvalidPaginationTokenException"
+ },
+ {
+ "shape": "InvalidParameterException"
+ },
+ {
+ "shape": "AccessDeniedException"
+ },
+ {
+ "shape": "InternalServerError"
+ },
+ {
+ "shape": "ThrottlingException"
+ },
+ {
+ "shape": "ProvisionedThroughputExceededException"
+ }
+ ],
+ "documentation": "Lists and gets information about your Amazon Rekognition Custom Labels projects.
This operation requires permissions to perform the rekognition:DescribeProjects
action.
"
+ },
"DescribeStreamProcessor": {
"name": "DescribeStreamProcessor",
"http": {
@@ -296,6 +444,55 @@
],
"documentation": "Provides information about a stream processor created by CreateStreamProcessor. You can get information about the input and output streams, the input parameters for the face recognition being performed, and the current status of the stream processor.
"
},
+ "DetectCustomLabels": {
+ "name": "DetectCustomLabels",
+ "http": {
+ "method": "POST",
+ "requestUri": "/"
+ },
+ "input": {
+ "shape": "DetectCustomLabelsRequest"
+ },
+ "output": {
+ "shape": "DetectCustomLabelsResponse"
+ },
+ "errors": [
+ {
+ "shape": "ResourceNotFoundException"
+ },
+ {
+ "shape": "ResourceNotReadyException"
+ },
+ {
+ "shape": "InvalidS3ObjectException"
+ },
+ {
+ "shape": "InvalidParameterException"
+ },
+ {
+ "shape": "ImageTooLargeException"
+ },
+ {
+ "shape": "LimitExceededException"
+ },
+ {
+ "shape": "AccessDeniedException"
+ },
+ {
+ "shape": "InternalServerError"
+ },
+ {
+ "shape": "ThrottlingException"
+ },
+ {
+ "shape": "ProvisionedThroughputExceededException"
+ },
+ {
+ "shape": "InvalidImageFormatException"
+ }
+ ],
+ "documentation": "Detects custom labels in a supplied image by using an Amazon Rekognition Custom Labels model.
You specify which version of a model version to use by using the ProjectVersionArn
input parameter.
You pass the input image as base64-encoded image bytes or as a reference to an image in an Amazon S3 bucket. If you use the AWS CLI to call Amazon Rekognition operations, passing image bytes is not supported. The image must be either a PNG or JPEG formatted file.
For each object that the model version detects on an image, the API returns a (CustomLabel
) object in an array (CustomLabels
). Each CustomLabel
object provides the label name (Name
), the level of confidence that the image contains the object (Confidence
), and object location information, if it exists, for the label on the image (Geometry
).
During training model calculates a threshold value that determines if a prediction for a label is true. By default, DetectCustomLabels
doesn't return labels whose confidence value is below the model's calculated threshold value. To filter labels that are returned, specify a value for MinConfidence
that is higher than the model's calculated threshold. You can get the model's calculated threshold from the model's training results shown in the Amazon Rekognition Custom Labels console. To get all labels, regardless of confidence, specify a MinConfidence
value of 0.
You can also add the MaxResults
parameter to limit the number of labels returned.
This is a stateless API operation. That is, the operation does not persist any data.
This operation requires permissions to perform the rekognition:DetectCustomLabels
action.
"
+ },
"DetectFaces": {
"name": "DetectFaces",
"http": {
@@ -412,6 +609,9 @@
},
{
"shape": "InvalidImageFormatException"
+ },
+ {
+ "shape": "HumanLoopQuotaExceededException"
}
],
"documentation": "Detects unsafe content in a specified JPEG or PNG format image. Use DetectModerationLabels
to moderate images depending on your requirements. For example, you might want to filter images that contain nudity, but not images containing suggestive content.
To filter images, use the labels returned by DetectModerationLabels
to determine which types of content are appropriate.
For information about moderation labels, see Detecting Unsafe Content in the Amazon Rekognition Developer Guide.
You pass the input image either as base64-encoded image bytes or as a reference to an image in an Amazon S3 bucket. If you use the AWS CLI to call Amazon Rekognition operations, passing image bytes is not supported. The image must be either a PNG or JPEG formatted file.
"
@@ -981,7 +1181,7 @@
"shape": "InvalidImageFormatException"
}
],
- "documentation": "For a given input image, first detects the largest face in the image, and then searches the specified collection for matching faces. The operation compares the features of the input face with faces in the specified collection.
To search for all faces in an input image, you might first call the IndexFaces operation, and then use the face IDs returned in subsequent calls to the SearchFaces operation.
You can also call the DetectFaces
operation and use the bounding boxes in the response to make face crops, which then you can pass in to the SearchFacesByImage
operation.
You pass the input image either as base64-encoded image bytes or as a reference to an image in an Amazon S3 bucket. If you use the AWS CLI to call Amazon Rekognition operations, passing image bytes is not supported. The image must be either a PNG or JPEG formatted file.
The response returns an array of faces that match, ordered by similarity score with the highest similarity first. More specifically, it is an array of metadata for each face match found. Along with the metadata, the response also includes a similarity
indicating how similar the face is to the input face. In the response, the operation also returns the bounding box (and a confidence level that the bounding box contains a face) of the face that Amazon Rekognition used for the input image.
For an example, Searching for a Face Using an Image in the Amazon Rekognition Developer Guide.
The QualityFilter
input parameter allows you to filter out detected faces that don’t meet a required quality bar. The quality bar is based on a variety of common use cases. By default, Amazon Rekognition chooses the quality bar that's used to filter faces. You can also explicitly choose the quality bar. Use QualityFilter
, to set the quality bar for filtering by specifying LOW
, MEDIUM
, or HIGH
. If you do not want to filter detected faces, specify NONE
.
To use quality filtering, you need a collection associated with version 3 of the face model or higher. To get the version of the face model associated with a collection, call DescribeCollection.
This operation requires permissions to perform the rekognition:SearchFacesByImage
action.
"
+ "documentation": "For a given input image, first detects the largest face in the image, and then searches the specified collection for matching faces. The operation compares the features of the input face with faces in the specified collection.
To search for all faces in an input image, you might first call the IndexFaces operation, and then use the face IDs returned in subsequent calls to the SearchFaces operation.
You can also call the DetectFaces
operation and use the bounding boxes in the response to make face crops, which then you can pass in to the SearchFacesByImage
operation.
You pass the input image either as base64-encoded image bytes or as a reference to an image in an Amazon S3 bucket. If you use the AWS CLI to call Amazon Rekognition operations, passing image bytes is not supported. The image must be either a PNG or JPEG formatted file.
The response returns an array of faces that match, ordered by similarity score with the highest similarity first. More specifically, it is an array of metadata for each face match found. Along with the metadata, the response also includes a similarity
indicating how similar the face is to the input face. In the response, the operation also returns the bounding box (and a confidence level that the bounding box contains a face) of the face that Amazon Rekognition used for the input image.
For an example, Searching for a Face Using an Image in the Amazon Rekognition Developer Guide.
The QualityFilter
input parameter allows you to filter out detected faces that don’t meet a required quality bar. The quality bar is based on a variety of common use cases. Use QualityFilter
to set the quality bar for filtering by specifying LOW
, MEDIUM
, or HIGH
. If you do not want to filter detected faces, specify NONE
. The default value is NONE
.
To use quality filtering, you need a collection associated with version 3 of the face model or higher. To get the version of the face model associated with a collection, call DescribeCollection.
This operation requires permissions to perform the rekognition:SearchFacesByImage
action.
"
},
"StartCelebrityRecognition": {
"name": "StartCelebrityRecognition",
@@ -1250,6 +1450,46 @@
"documentation": "Starts the asynchronous tracking of a person's path in a stored video.
Amazon Rekognition Video can track the path of people in a video stored in an Amazon S3 bucket. Use Video to specify the bucket name and the filename of the video. StartPersonTracking
returns a job identifier (JobId
) which you use to get the results of the operation. When label detection is finished, Amazon Rekognition publishes a completion status to the Amazon Simple Notification Service topic that you specify in NotificationChannel
.
To get the results of the person detection operation, first check that the status value published to the Amazon SNS topic is SUCCEEDED
. If so, call GetPersonTracking and pass the job identifier (JobId
) from the initial call to StartPersonTracking
.
",
"idempotent": true
},
+ "StartProjectVersion": {
+ "name": "StartProjectVersion",
+ "http": {
+ "method": "POST",
+ "requestUri": "/"
+ },
+ "input": {
+ "shape": "StartProjectVersionRequest"
+ },
+ "output": {
+ "shape": "StartProjectVersionResponse"
+ },
+ "errors": [
+ {
+ "shape": "ResourceNotFoundException"
+ },
+ {
+ "shape": "ResourceInUseException"
+ },
+ {
+ "shape": "LimitExceededException"
+ },
+ {
+ "shape": "InvalidParameterException"
+ },
+ {
+ "shape": "AccessDeniedException"
+ },
+ {
+ "shape": "InternalServerError"
+ },
+ {
+ "shape": "ThrottlingException"
+ },
+ {
+ "shape": "ProvisionedThroughputExceededException"
+ }
+ ],
+ "documentation": "Starts the running of the version of a model. Starting a model takes a while to complete. To check the current state of the model, use DescribeProjectVersions.
Once the model is running, you can detect custom labels in new images by calling DetectCustomLabels.
You are charged for the amount of time that the model is running. To stop a running model, call StopProjectVersion.
This operation requires permissions to perform the rekognition:StartProjectVersion
action.
"
+ },
"StartStreamProcessor": {
"name": "StartStreamProcessor",
"http": {
@@ -1287,6 +1527,43 @@
],
"documentation": "Starts processing a stream processor. You create a stream processor by calling CreateStreamProcessor. To tell StartStreamProcessor
which stream processor to start, use the value of the Name
field specified in the call to CreateStreamProcessor
.
"
},
+ "StopProjectVersion": {
+ "name": "StopProjectVersion",
+ "http": {
+ "method": "POST",
+ "requestUri": "/"
+ },
+ "input": {
+ "shape": "StopProjectVersionRequest"
+ },
+ "output": {
+ "shape": "StopProjectVersionResponse"
+ },
+ "errors": [
+ {
+ "shape": "ResourceNotFoundException"
+ },
+ {
+ "shape": "ResourceInUseException"
+ },
+ {
+ "shape": "InvalidParameterException"
+ },
+ {
+ "shape": "AccessDeniedException"
+ },
+ {
+ "shape": "InternalServerError"
+ },
+ {
+ "shape": "ThrottlingException"
+ },
+ {
+ "shape": "ProvisionedThroughputExceededException"
+ }
+ ],
+ "documentation": "Stops a running model. The operation might take a while to complete. To check the current status, call DescribeProjectVersions.
"
+ },
"StopStreamProcessor": {
"name": "StopStreamProcessor",
"http": {
@@ -1340,6 +1617,21 @@
},
"documentation": "Structure containing the estimated age range, in years, for a face.
Amazon Rekognition estimates an age range for faces detected in the input image. Estimated age ranges can overlap. A face of a 5-year-old might have an estimated range of 4-6, while the face of a 6-year-old might have an estimated range of 4-8.
"
},
+ "Asset": {
+ "type": "structure",
+ "members": {
+ "GroundTruthManifest": {
+ "shape": "GroundTruthManifest"
+ }
+ },
+ "documentation": "Assets are the images that you use to train and evaluate a model version. Assets are referenced by Sagemaker GroundTruth manifest files.
"
+ },
+ "Assets": {
+ "type": "list",
+ "member": {
+ "shape": "Asset"
+ }
+ },
"Attribute": {
"type": "string",
"enum": [
@@ -1540,7 +1832,7 @@
},
"QualityFilter": {
"shape": "QualityFilter",
- "documentation": "A filter that specifies a quality bar for how much filtering is done to identify faces. Filtered faces aren't compared. If you specify AUTO
, Amazon Rekognition chooses the quality bar. If you specify LOW
, MEDIUM
, or HIGH
, filtering removes all faces that don’t meet the chosen quality bar. The default value is AUTO
. The quality bar is based on a variety of common use cases. Low-quality detections can occur for a number of reasons. Some examples are an object that's misidentified as a face, a face that's too blurry, or a face with a pose that's too extreme to use. If you specify NONE
, no filtering is performed.
To use quality filtering, the collection you are using must be associated with version 3 of the face model or higher.
"
+ "documentation": "A filter that specifies a quality bar for how much filtering is done to identify faces. Filtered faces aren't compared. If you specify AUTO
, Amazon Rekognition chooses the quality bar. If you specify LOW
, MEDIUM
, or HIGH
, filtering removes all faces that don’t meet the chosen quality bar. The quality bar is based on a variety of common use cases. Low-quality detections can occur for a number of reasons. Some examples are an object that's misidentified as a face, a face that's too blurry, or a face with a pose that's too extreme to use. If you specify NONE
, no filtering is performed. The default value is NONE
.
To use quality filtering, the collection you are using must be associated with version 3 of the face model or higher.
"
}
}
},
@@ -1621,6 +1913,20 @@
},
"documentation": "Type that describes the face Amazon Rekognition chose to compare with the faces in the target. This contains a bounding box for the selected face and confidence level that the bounding box contains a face. Note that Amazon Rekognition selects the largest face in the source image for this comparison.
"
},
+ "ContentClassifier": {
+ "type": "string",
+ "enum": [
+ "FreeOfPersonallyIdentifiableInformation",
+ "FreeOfAdultContent"
+ ]
+ },
+ "ContentClassifiers": {
+ "type": "list",
+ "member": {
+ "shape": "ContentClassifier"
+ },
+ "max": 256
+ },
"ContentModerationDetection": {
"type": "structure",
"members": {
@@ -1677,6 +1983,68 @@
}
}
},
+ "CreateProjectRequest": {
+ "type": "structure",
+ "required": [
+ "ProjectName"
+ ],
+ "members": {
+ "ProjectName": {
+ "shape": "ProjectName",
+ "documentation": "The name of the project to create.
"
+ }
+ }
+ },
+ "CreateProjectResponse": {
+ "type": "structure",
+ "members": {
+ "ProjectArn": {
+ "shape": "ProjectArn",
+ "documentation": "The Amazon Resource Name (ARN) of the new project. You can use the ARN to configure IAM access to the project.
"
+ }
+ }
+ },
+ "CreateProjectVersionRequest": {
+ "type": "structure",
+ "required": [
+ "ProjectArn",
+ "VersionName",
+ "OutputConfig",
+ "TrainingData",
+ "TestingData"
+ ],
+ "members": {
+ "ProjectArn": {
+ "shape": "ProjectArn",
+ "documentation": "The ARN of the Amazon Rekognition Custom Labels project that manages the model that you want to train.
"
+ },
+ "VersionName": {
+ "shape": "VersionName",
+ "documentation": "A name for the version of the model. This value must be unique.
"
+ },
+ "OutputConfig": {
+ "shape": "OutputConfig",
+ "documentation": "The Amazon S3 location to store the results of training.
"
+ },
+ "TrainingData": {
+ "shape": "TrainingData",
+ "documentation": "The dataset to use for training.
"
+ },
+ "TestingData": {
+ "shape": "TestingData",
+ "documentation": "The dataset to use for testing.
"
+ }
+ }
+ },
+ "CreateProjectVersionResponse": {
+ "type": "structure",
+ "members": {
+ "ProjectVersionArn": {
+ "shape": "ProjectVersionArn",
+ "documentation": "The ARN of the model version that was created. Use DescribeProjectVersion
to get the current status of the training operation.
"
+ }
+ }
+ },
"CreateStreamProcessorRequest": {
"type": "structure",
"required": [
@@ -1718,6 +2086,30 @@
}
}
},
+ "CustomLabel": {
+ "type": "structure",
+ "members": {
+ "Name": {
+ "shape": "String",
+ "documentation": "The name of the custom label.
"
+ },
+ "Confidence": {
+ "shape": "Percent",
+ "documentation": "The confidence that the model has in the detection of the custom label. The range is 0-100. A higher value indicates a higher confidence.
"
+ },
+ "Geometry": {
+ "shape": "Geometry",
+ "documentation": "The location of the detected object on the image that corresponds to the custom label. Includes an axis aligned coarse bounding box surrounding the object and a finer grain polygon for more accurate spatial information.
"
+ }
+ },
+ "documentation": "A custom label detected in an image by a call to DetectCustomLabels.
"
+ },
+ "CustomLabels": {
+ "type": "list",
+ "member": {
+ "shape": "CustomLabel"
+ }
+ },
"DateTime": {
"type": "timestamp"
},
@@ -1789,36 +2181,99 @@
"type": "structure",
"members": {}
},
- "DescribeCollectionRequest": {
+ "DescribeCollectionRequest": {
+ "type": "structure",
+ "required": [
+ "CollectionId"
+ ],
+ "members": {
+ "CollectionId": {
+ "shape": "CollectionId",
+ "documentation": "The ID of the collection to describe.
"
+ }
+ }
+ },
+ "DescribeCollectionResponse": {
+ "type": "structure",
+ "members": {
+ "FaceCount": {
+ "shape": "ULong",
+ "documentation": "The number of faces that are indexed into the collection. To index faces into a collection, use IndexFaces.
"
+ },
+ "FaceModelVersion": {
+ "shape": "String",
+ "documentation": "The version of the face model that's used by the collection for face detection.
For more information, see Model Versioning in the Amazon Rekognition Developer Guide.
"
+ },
+ "CollectionARN": {
+ "shape": "String",
+ "documentation": "The Amazon Resource Name (ARN) of the collection.
"
+ },
+ "CreationTimestamp": {
+ "shape": "DateTime",
+ "documentation": "The number of milliseconds since the Unix epoch time until the creation of the collection. The Unix epoch time is 00:00:00 Coordinated Universal Time (UTC), Thursday, 1 January 1970.
"
+ }
+ }
+ },
+ "DescribeProjectVersionsRequest": {
+ "type": "structure",
+ "required": [
+ "ProjectArn"
+ ],
+ "members": {
+ "ProjectArn": {
+ "shape": "ProjectArn",
+ "documentation": "The Amazon Resource Name (ARN) of the project that contains the models you want to describe.
"
+ },
+ "VersionNames": {
+ "shape": "VersionNames",
+ "documentation": "A list of model version names that you want to describe. You can add up to 10 model version names to the list. If you don't specify a value, all model descriptions are returned.
"
+ },
+ "NextToken": {
+ "shape": "ExtendedPaginationToken",
+ "documentation": "If the previous response was incomplete (because there is more results to retrieve), Amazon Rekognition Custom Labels returns a pagination token in the response. You can use this pagination token to retrieve the next set of results.
"
+ },
+ "MaxResults": {
+ "shape": "ProjectVersionsPageSize",
+ "documentation": "The maximum number of results to return per paginated call. The largest value you can specify is 100. If you specify a value greater than 100, a ValidationException error occurs. The default value is 100.
"
+ }
+ }
+ },
+ "DescribeProjectVersionsResponse": {
+ "type": "structure",
+ "members": {
+ "ProjectVersionDescriptions": {
+ "shape": "ProjectVersionDescriptions",
+ "documentation": "A list of model descriptions. The list is sorted by the creation date and time of the model versions, latest to earliest.
"
+ },
+ "NextToken": {
+ "shape": "ExtendedPaginationToken",
+ "documentation": "If the previous response was incomplete (because there is more results to retrieve), Amazon Rekognition Custom Labels returns a pagination token in the response. You can use this pagination token to retrieve the next set of results.
"
+ }
+ }
+ },
+ "DescribeProjectsRequest": {
"type": "structure",
- "required": [
- "CollectionId"
- ],
"members": {
- "CollectionId": {
- "shape": "CollectionId",
- "documentation": "The ID of the collection to describe.
"
+ "NextToken": {
+ "shape": "ExtendedPaginationToken",
+ "documentation": "If the previous response was incomplete (because there is more results to retrieve), Amazon Rekognition Custom Labels returns a pagination token in the response. You can use this pagination token to retrieve the next set of results.
"
+ },
+ "MaxResults": {
+ "shape": "ProjectsPageSize",
+ "documentation": "The maximum number of results to return per paginated call. The largest value you can specify is 100. If you specify a value greater than 100, a ValidationException error occurs. The default value is 100.
"
}
}
},
- "DescribeCollectionResponse": {
+ "DescribeProjectsResponse": {
"type": "structure",
"members": {
- "FaceCount": {
- "shape": "ULong",
- "documentation": "The number of faces that are indexed into the collection. To index faces into a collection, use IndexFaces.
"
- },
- "FaceModelVersion": {
- "shape": "String",
- "documentation": "The version of the face model that's used by the collection for face detection.
For more information, see Model Versioning in the Amazon Rekognition Developer Guide.
"
- },
- "CollectionARN": {
- "shape": "String",
- "documentation": "The Amazon Resource Name (ARN) of the collection.
"
+ "ProjectDescriptions": {
+ "shape": "ProjectDescriptions",
+ "documentation": "A list of project descriptions. The list is sorted by the date and time the projects are created.
"
},
- "CreationTimestamp": {
- "shape": "DateTime",
- "documentation": "The number of milliseconds since the Unix epoch time until the creation of the collection. The Unix epoch time is 00:00:00 Coordinated Universal Time (UTC), Thursday, 1 January 1970.
"
+ "NextToken": {
+ "shape": "ExtendedPaginationToken",
+ "documentation": "If the previous response was incomplete (because there is more results to retrieve), Amazon Rekognition Custom Labels returns a pagination token in the response. You can use this pagination token to retrieve the next set of results.
"
}
}
},
@@ -1879,6 +2334,39 @@
}
}
},
+ "DetectCustomLabelsRequest": {
+ "type": "structure",
+ "required": [
+ "ProjectVersionArn",
+ "Image"
+ ],
+ "members": {
+ "ProjectVersionArn": {
+ "shape": "ProjectVersionArn",
+ "documentation": "The ARN of the model version that you want to use.
"
+ },
+ "Image": {
+ "shape": "Image"
+ },
+ "MaxResults": {
+ "shape": "UInteger",
+ "documentation": "Maximum number of results you want the service to return in the response. The service returns the specified number of highest confidence labels ranked from highest confidence to lowest.
"
+ },
+ "MinConfidence": {
+ "shape": "Percent",
+ "documentation": "Specifies the minimum confidence level for the labels to return. Amazon Rekognition doesn't return any labels with a confidence lower than this specified value. If you specify a value of 0, all labels are return, regardless of the default thresholds that the model version applies.
"
+ }
+ }
+ },
+ "DetectCustomLabelsResponse": {
+ "type": "structure",
+ "members": {
+ "CustomLabels": {
+ "shape": "CustomLabels",
+ "documentation": "An array of custom labels detected in the input image.
"
+ }
+ }
+ },
"DetectFacesRequest": {
"type": "structure",
"required": [
@@ -1958,6 +2446,10 @@
"MinConfidence": {
"shape": "Percent",
"documentation": "Specifies the minimum confidence level for the labels to return. Amazon Rekognition doesn't return any labels with a confidence level lower than this specified value.
If you don't specify MinConfidence
, the operation returns labels with confidence values greater than or equal to 50 percent.
"
+ },
+ "HumanLoopConfig": {
+ "shape": "HumanLoopConfig",
+ "documentation": "Sets up the configuration for human evaluation, including the FlowDefinition the image will be sent to.
"
}
}
},
@@ -1971,6 +2463,10 @@
"ModerationModelVersion": {
"shape": "String",
"documentation": "Version number of the moderation detection model that was used to detect unsafe content.
"
+ },
+ "HumanLoopActivationOutput": {
+ "shape": "HumanLoopActivationOutput",
+ "documentation": "Shows the results of the human in the loop evaluation.
"
}
}
},
@@ -2029,6 +2525,24 @@
"shape": "Emotion"
}
},
+ "EvaluationResult": {
+ "type": "structure",
+ "members": {
+ "F1Score": {
+ "shape": "Float",
+ "documentation": "The F1 score for the evaluation of all labels. The F1 score metric evaluates the overall precision and recall performance of the model as a single value. A higher value indicates better precision and recall performance. A lower score indicates that precision, recall, or both are performing poorly.
"
+ },
+ "Summary": {
+ "shape": "Summary",
+ "documentation": "The S3 bucket that contains the training summary.
"
+ }
+ },
+ "documentation": "The evaluation results for the training of a model.
"
+ },
+ "ExtendedPaginationToken": {
+ "type": "string",
+ "max": 1024
+ },
"ExternalImageId": {
"type": "string",
"max": 255,
@@ -2276,6 +2790,10 @@
"Float": {
"type": "float"
},
+ "FlowDefinitionArn": {
+ "type": "string",
+ "max": 256
+ },
"Gender": {
"type": "structure",
"members": {
@@ -2302,14 +2820,14 @@
"members": {
"BoundingBox": {
"shape": "BoundingBox",
- "documentation": "An axis-aligned coarse representation of the detected text's location on the image.
"
+ "documentation": "An axis-aligned coarse representation of the detected item's location on the image.
"
},
"Polygon": {
"shape": "Polygon",
- "documentation": "Within the bounding box, a fine-grained polygon around the detected text.
"
+ "documentation": "Within the bounding box, a fine-grained polygon around the detected item.
"
}
},
- "documentation": "Information about where the text detected by DetectText is located on an image.
"
+ "documentation": "Information about where an object (DetectCustomLabels) or text (DetectText) is located on an image.
"
},
"GetCelebrityInfoRequest": {
"type": "structure",
@@ -2634,6 +3152,90 @@
}
}
},
+ "GroundTruthManifest": {
+ "type": "structure",
+ "members": {
+ "S3Object": {
+ "shape": "S3Object"
+ }
+ },
+ "documentation": "The S3 bucket that contains the Ground Truth manifest file.
"
+ },
+ "HumanLoopActivationConditionsEvaluationResults": {
+ "type": "string",
+ "max": 10240
+ },
+ "HumanLoopActivationOutput": {
+ "type": "structure",
+ "members": {
+ "HumanLoopArn": {
+ "shape": "HumanLoopArn",
+ "documentation": "The Amazon Resource Name (ARN) of the HumanLoop created.
"
+ },
+ "HumanLoopActivationReasons": {
+ "shape": "HumanLoopActivationReasons",
+ "documentation": "Shows if and why human review was needed.
"
+ },
+ "HumanLoopActivationConditionsEvaluationResults": {
+ "shape": "HumanLoopActivationConditionsEvaluationResults",
+ "documentation": "Shows the result of condition evaluations, including those conditions which activated a human review.
",
+ "jsonvalue": true
+ }
+ },
+ "documentation": "Shows the results of the human in the loop evaluation. If there is no HumanLoopArn, the input did not trigger human review.
"
+ },
+ "HumanLoopActivationReason": {
+ "type": "string"
+ },
+ "HumanLoopActivationReasons": {
+ "type": "list",
+ "member": {
+ "shape": "HumanLoopActivationReason"
+ },
+ "min": 1
+ },
+ "HumanLoopArn": {
+ "type": "string",
+ "max": 256
+ },
+ "HumanLoopConfig": {
+ "type": "structure",
+ "required": [
+ "HumanLoopName",
+ "FlowDefinitionArn"
+ ],
+ "members": {
+ "HumanLoopName": {
+ "shape": "HumanLoopName",
+ "documentation": "The name of the human review used for this image. This should be kept unique within a region.
"
+ },
+ "FlowDefinitionArn": {
+ "shape": "FlowDefinitionArn",
+ "documentation": "The Amazon Resource Name (ARN) of the flow definition.
"
+ },
+ "DataAttributes": {
+ "shape": "HumanLoopDataAttributes",
+ "documentation": "Sets attributes of the input data.
"
+ }
+ },
+ "documentation": "Sets up the flow definition the image will be sent to if one of the conditions is met. You can also set certain attributes of the image before review.
"
+ },
+ "HumanLoopDataAttributes": {
+ "type": "structure",
+ "members": {
+ "ContentClassifiers": {
+ "shape": "ContentClassifiers",
+ "documentation": "Sets whether the input image is free of personally identifiable information.
"
+ }
+ },
+ "documentation": "Allows you to set attributes of the image. Currently, you can declare an image as free of personally identifiable information.
"
+ },
+ "HumanLoopName": {
+ "type": "string",
+ "max": 63,
+ "min": 1,
+ "pattern": "^[a-z0-9](-*[a-z0-9])*"
+ },
"Image": {
"type": "structure",
"members": {
@@ -2725,6 +3327,10 @@
}
}
},
+ "InferenceUnits": {
+ "type": "integer",
+ "min": 1
+ },
"Instance": {
"type": "structure",
"members": {
@@ -3084,6 +3690,20 @@
"ROTATE_270"
]
},
+ "OutputConfig": {
+ "type": "structure",
+ "members": {
+ "S3Bucket": {
+ "shape": "S3Bucket",
+ "documentation": "The S3 bucket where training output is placed.
"
+ },
+ "S3KeyPrefix": {
+ "shape": "S3KeyPrefix",
+ "documentation": "The prefix applied to the training output files.
"
+ }
+ },
+ "documentation": "The S3 bucket and folder location where training output is placed.
"
+ },
"PageSize": {
"type": "integer",
"max": 4096,
@@ -3198,7 +3818,7 @@
"documentation": "The value of the Y coordinate for a point on a Polygon
.
"
}
},
- "documentation": "The X and Y coordinates of a point on an image. The X and Y values returned are ratios of the overall image size. For example, if the input image is 700x200 and the operation returns X=0.5 and Y=0.25, then the point is at the (350,50) pixel coordinate on the image.
An array of Point
objects, Polygon
, is returned by DetectText. Polygon
represents a fine-grained polygon around detected text. For more information, see Geometry in the Amazon Rekognition Developer Guide.
"
+ "documentation": "The X and Y coordinates of a point on an image. The X and Y values returned are ratios of the overall image size. For example, if the input image is 700x200 and the operation returns X=0.5 and Y=0.25, then the point is at the (350,50) pixel coordinate on the image.
An array of Point
objects, Polygon
, is returned by DetectText and by DetectCustomLabels. Polygon
represents a fine-grained polygon around a detected item. For more information, see Geometry in the Amazon Rekognition Developer Guide.
"
},
"Polygon": {
"type": "list",
@@ -3224,6 +3844,136 @@
},
"documentation": "Indicates the pose of the face as determined by its pitch, roll, and yaw.
"
},
+ "ProjectArn": {
+ "type": "string",
+ "max": 2048,
+ "min": 20,
+ "pattern": "(^arn:[a-z\\d-]+:rekognition:[a-z\\d-]+:\\d{12}:project\\/[a-zA-Z0-9_.\\-]{1,255}\\/[0-9]+$)"
+ },
+ "ProjectDescription": {
+ "type": "structure",
+ "members": {
+ "ProjectArn": {
+ "shape": "ProjectArn",
+ "documentation": "The Amazon Resource Name (ARN) of the project.
"
+ },
+ "CreationTimestamp": {
+ "shape": "DateTime",
+ "documentation": "The Unix timestamp for the date and time that the project was created.
"
+ },
+ "Status": {
+ "shape": "ProjectStatus",
+ "documentation": "The current status of the project.
"
+ }
+ },
+ "documentation": "A description of a Amazon Rekognition Custom Labels project.
"
+ },
+ "ProjectDescriptions": {
+ "type": "list",
+ "member": {
+ "shape": "ProjectDescription"
+ }
+ },
+ "ProjectName": {
+ "type": "string",
+ "max": 255,
+ "min": 1,
+ "pattern": "[a-zA-Z0-9_.\\-]+"
+ },
+ "ProjectStatus": {
+ "type": "string",
+ "enum": [
+ "CREATING",
+ "CREATED",
+ "DELETING"
+ ]
+ },
+ "ProjectVersionArn": {
+ "type": "string",
+ "max": 2048,
+ "min": 20,
+ "pattern": "(^arn:[a-z\\d-]+:rekognition:[a-z\\d-]+:\\d{12}:project\\/[a-zA-Z0-9_.\\-]{1,255}\\/version\\/[a-zA-Z0-9_.\\-]{1,255}\\/[0-9]+$)"
+ },
+ "ProjectVersionDescription": {
+ "type": "structure",
+ "members": {
+ "ProjectVersionArn": {
+ "shape": "ProjectVersionArn",
+ "documentation": "The Amazon Resource Name (ARN) of the model version.
"
+ },
+ "CreationTimestamp": {
+ "shape": "DateTime",
+ "documentation": "The Unix datetime for the date and time that training started.
"
+ },
+ "MinInferenceUnits": {
+ "shape": "InferenceUnits",
+ "documentation": "The minimum number of inference units used by the model. For more information, see StartProjectVersion.
"
+ },
+ "Status": {
+ "shape": "ProjectVersionStatus",
+ "documentation": "The current status of the model version.
"
+ },
+ "StatusMessage": {
+ "shape": "StatusMessage",
+ "documentation": "A descriptive message for an error or warning that occurred.
"
+ },
+ "BillableTrainingTimeInSeconds": {
+ "shape": "ULong",
+ "documentation": "The duration, in seconds, that the model version has been billed for training. This value is only returned if the model version has been successfully trained.
"
+ },
+ "TrainingEndTimestamp": {
+ "shape": "DateTime",
+ "documentation": "The Unix date and time that training of the model ended.
"
+ },
+ "OutputConfig": {
+ "shape": "OutputConfig",
+ "documentation": "The location where training results are saved.
"
+ },
+ "TrainingDataResult": {
+ "shape": "TrainingDataResult",
+ "documentation": "The manifest file that represents the training results.
"
+ },
+ "TestingDataResult": {
+ "shape": "TestingDataResult",
+ "documentation": "The manifest file that represents the testing results.
"
+ },
+ "EvaluationResult": {
+ "shape": "EvaluationResult",
+ "documentation": "The training results. EvaluationResult
is only returned if training is successful.
"
+ }
+ },
+ "documentation": "The description of a version of a model.
"
+ },
+ "ProjectVersionDescriptions": {
+ "type": "list",
+ "member": {
+ "shape": "ProjectVersionDescription"
+ }
+ },
+ "ProjectVersionStatus": {
+ "type": "string",
+ "enum": [
+ "TRAINING_IN_PROGRESS",
+ "TRAINING_COMPLETED",
+ "TRAINING_FAILED",
+ "STARTING",
+ "RUNNING",
+ "FAILED",
+ "STOPPING",
+ "STOPPED",
+ "DELETING"
+ ]
+ },
+ "ProjectVersionsPageSize": {
+ "type": "integer",
+ "max": 100,
+ "min": 1
+ },
+ "ProjectsPageSize": {
+ "type": "integer",
+ "max": 100,
+ "min": 1
+ },
"QualityFilter": {
"type": "string",
"enum": [
@@ -3295,6 +4045,10 @@
"min": 3,
"pattern": "[0-9A-Za-z\\.\\-_]*"
},
+ "S3KeyPrefix": {
+ "type": "string",
+ "max": 1024
+ },
"S3Object": {
"type": "structure",
"members": {
@@ -3352,7 +4106,7 @@
},
"QualityFilter": {
"shape": "QualityFilter",
- "documentation": "A filter that specifies a quality bar for how much filtering is done to identify faces. Filtered faces aren't searched for in the collection. If you specify AUTO
, Amazon Rekognition chooses the quality bar. If you specify LOW
, MEDIUM
, or HIGH
, filtering removes all faces that don’t meet the chosen quality bar. The default value is AUTO
. The quality bar is based on a variety of common use cases. Low-quality detections can occur for a number of reasons. Some examples are an object that's misidentified as a face, a face that's too blurry, or a face with a pose that's too extreme to use. If you specify NONE
, no filtering is performed.
To use quality filtering, the collection you are using must be associated with version 3 of the face model or higher.
"
+ "documentation": "A filter that specifies a quality bar for how much filtering is done to identify faces. Filtered faces aren't searched for in the collection. If you specify AUTO
, Amazon Rekognition chooses the quality bar. If you specify LOW
, MEDIUM
, or HIGH
, filtering removes all faces that don’t meet the chosen quality bar. The quality bar is based on a variety of common use cases. Low-quality detections can occur for a number of reasons. Some examples are an object that's misidentified as a face, a face that's too blurry, or a face with a pose that's too extreme to use. If you specify NONE
, no filtering is performed. The default value is NONE
.
To use quality filtering, the collection you are using must be associated with version 3 of the face model or higher.
"
}
}
},
@@ -3652,6 +4406,32 @@
}
}
},
+ "StartProjectVersionRequest": {
+ "type": "structure",
+ "required": [
+ "ProjectVersionArn",
+ "MinInferenceUnits"
+ ],
+ "members": {
+ "ProjectVersionArn": {
+ "shape": "ProjectVersionArn",
+ "documentation": "The Amazon Resource Name(ARN) of the model version that you want to start.
"
+ },
+ "MinInferenceUnits": {
+ "shape": "InferenceUnits",
+ "documentation": "The minimum number of inference units to use. A single inference unit represents 1 hour of processing and can support up to 5 Transaction Pers Second (TPS). Use a higher number to increase the TPS throughput of your model. You are charged for the number of inference units that you use.
"
+ }
+ }
+ },
+ "StartProjectVersionResponse": {
+ "type": "structure",
+ "members": {
+ "Status": {
+ "shape": "ProjectVersionStatus",
+ "documentation": "The current running status of the model.
"
+ }
+ }
+ },
"StartStreamProcessorRequest": {
"type": "structure",
"required": [
@@ -3671,6 +4451,27 @@
"StatusMessage": {
"type": "string"
},
+ "StopProjectVersionRequest": {
+ "type": "structure",
+ "required": [
+ "ProjectVersionArn"
+ ],
+ "members": {
+ "ProjectVersionArn": {
+ "shape": "ProjectVersionArn",
+ "documentation": "The Amazon Resource Name (ARN) of the model version that you want to delete.
This operation requires permissions to perform the rekognition:StopProjectVersion
action.
"
+ }
+ }
+ },
+ "StopProjectVersionResponse": {
+ "type": "structure",
+ "members": {
+ "Status": {
+ "shape": "ProjectVersionStatus",
+ "documentation": "The current status of the stop operation.
"
+ }
+ }
+ },
"StopStreamProcessorRequest": {
"type": "structure",
"required": [
@@ -3760,6 +4561,15 @@
"String": {
"type": "string"
},
+ "Summary": {
+ "type": "structure",
+ "members": {
+ "S3Object": {
+ "shape": "S3Object"
+ }
+ },
+ "documentation": "The S3 bucket that contains the training summary. The training summary includes aggregated evaluation metrics for the entire testing dataset and metrics for each individual label.
You get the training summary S3 bucket location by calling DescribeProjectVersions.
"
+ },
"Sunglasses": {
"type": "structure",
"members": {
@@ -3774,6 +4584,34 @@
},
"documentation": "Indicates whether or not the face is wearing sunglasses, and the confidence level in the determination.
"
},
+ "TestingData": {
+ "type": "structure",
+ "members": {
+ "Assets": {
+ "shape": "Assets",
+ "documentation": "The assets used for testing.
"
+ },
+ "AutoCreate": {
+ "shape": "Boolean",
+ "documentation": "If specified, Amazon Rekognition Custom Labels creates a testing dataset with an 80/20 split of the training dataset.
"
+ }
+ },
+ "documentation": "The dataset used for testing. Optionally, if AutoCreate
is set, Amazon Rekognition Custom Labels creates a testing dataset using an 80/20 split of the training dataset.
"
+ },
+ "TestingDataResult": {
+ "type": "structure",
+ "members": {
+ "Input": {
+ "shape": "TestingData",
+ "documentation": "The testing dataset that was supplied for training.
"
+ },
+ "Output": {
+ "shape": "TestingData",
+ "documentation": "The subset of the dataset that was actually tested. Some images (assets) might not be tested due to file formatting and other issues.
"
+ }
+ },
+ "documentation": "A Sagemaker Groundtruth format manifest file representing the dataset used for testing.
"
+ },
"TextDetection": {
"type": "structure",
"members": {
@@ -3820,6 +4658,30 @@
"Timestamp": {
"type": "long"
},
+ "TrainingData": {
+ "type": "structure",
+ "members": {
+ "Assets": {
+ "shape": "Assets",
+ "documentation": "A Sagemaker GroundTruth manifest file that contains the training images (assets).
"
+ }
+ },
+ "documentation": "The dataset used for training.
"
+ },
+ "TrainingDataResult": {
+ "type": "structure",
+ "members": {
+ "Input": {
+ "shape": "TrainingData",
+ "documentation": "The training assets that you supplied for training.
"
+ },
+ "Output": {
+ "shape": "TrainingData",
+ "documentation": "The images (assets) that were actually trained by Amazon Rekognition Custom Labels.
"
+ }
+ },
+ "documentation": "A Sagemaker Groundtruth format manifest file that represents the dataset used for training.
"
+ },
"UInteger": {
"type": "integer",
"min": 0
@@ -3857,6 +4719,20 @@
"shape": "Url"
}
},
+ "VersionName": {
+ "type": "string",
+ "max": 255,
+ "min": 1,
+ "pattern": "[a-zA-Z0-9_.\\-]+"
+ },
+ "VersionNames": {
+ "type": "list",
+ "member": {
+ "shape": "VersionName"
+ },
+ "max": 10,
+ "min": 1
+ },
"Video": {
"type": "structure",
"members": {
diff --git a/apis/rekognition-2016-06-27.paginators.json b/apis/rekognition-2016-06-27.paginators.json
index 2448075c8b..5f36cf5e66 100644
--- a/apis/rekognition-2016-06-27.paginators.json
+++ b/apis/rekognition-2016-06-27.paginators.json
@@ -1,5 +1,17 @@
{
"pagination": {
+ "DescribeProjectVersions": {
+ "input_token": "NextToken",
+ "limit_key": "MaxResults",
+ "output_token": "NextToken",
+ "result_key": "ProjectVersionDescriptions"
+ },
+ "DescribeProjects": {
+ "input_token": "NextToken",
+ "limit_key": "MaxResults",
+ "output_token": "NextToken",
+ "result_key": "ProjectDescriptions"
+ },
"GetCelebrityRecognition": {
"input_token": "NextToken",
"limit_key": "MaxResults",
diff --git a/apis/rekognition-2016-06-27.waiters2.json b/apis/rekognition-2016-06-27.waiters2.json
new file mode 100644
index 0000000000..c67dc6239b
--- /dev/null
+++ b/apis/rekognition-2016-06-27.waiters2.json
@@ -0,0 +1,45 @@
+{
+ "version": 2,
+ "waiters": {
+ "ProjectVersionTrainingCompleted": {
+ "description": "Wait until the ProjectVersion training completes.",
+ "operation": "DescribeProjectVersions",
+ "delay": 120,
+ "maxAttempts": 360,
+ "acceptors": [
+ {
+ "state": "success",
+ "matcher": "pathAll",
+ "argument": "ProjectVersionDescriptions[].Status",
+ "expected": "TRAINING_COMPLETED"
+ },
+ {
+ "state": "failure",
+ "matcher": "pathAny",
+ "argument": "ProjectVersionDescriptions[].Status",
+ "expected": "TRAINING_FAILED"
+ }
+ ]
+ },
+ "ProjectVersionRunning": {
+ "description": "Wait until the ProjectVersion is running.",
+ "delay": 30,
+ "maxAttempts": 40,
+ "operation": "DescribeProjectVersions",
+ "acceptors": [
+ {
+ "state": "success",
+ "matcher": "pathAll",
+ "argument": "ProjectVersionDescriptions[].Status",
+ "expected": "RUNNING"
+ },
+ {
+ "state": "failure",
+ "matcher": "pathAny",
+ "argument": "ProjectVersionDescriptions[].Status",
+ "expected": "FAILED"
+ }
+ ]
+ }
+ }
+}
diff --git a/apis/sagemaker-2017-07-24.min.json b/apis/sagemaker-2017-07-24.min.json
index 29069b46cc..c743ca3299 100644
--- a/apis/sagemaker-2017-07-24.min.json
+++ b/apis/sagemaker-2017-07-24.min.json
@@ -37,6 +37,26 @@
}
}
},
+ "AssociateTrialComponent": {
+ "input": {
+ "type": "structure",
+ "required": [
+ "TrialComponentName",
+ "TrialName"
+ ],
+ "members": {
+ "TrialComponentName": {},
+ "TrialName": {}
+ }
+ },
+ "output": {
+ "type": "structure",
+ "members": {
+ "TrialComponentArn": {},
+ "TrialArn": {}
+ }
+ }
+ },
"CreateAlgorithm": {
"input": {
"type": "structure",
@@ -48,13 +68,13 @@
"AlgorithmName": {},
"AlgorithmDescription": {},
"TrainingSpecification": {
- "shape": "Sb"
+ "shape": "Sg"
},
"InferenceSpecification": {
- "shape": "S17"
+ "shape": "S1c"
},
"ValidationSpecification": {
- "shape": "S1j"
+ "shape": "S1o"
},
"CertifyForMarketplace": {
"type": "boolean"
@@ -71,6 +91,78 @@
}
}
},
+ "CreateApp": {
+ "input": {
+ "type": "structure",
+ "required": [
+ "DomainId",
+ "UserProfileName",
+ "AppType",
+ "AppName"
+ ],
+ "members": {
+ "DomainId": {},
+ "UserProfileName": {},
+ "AppType": {},
+ "AppName": {},
+ "Tags": {
+ "shape": "S3"
+ },
+ "ResourceSpec": {
+ "shape": "S38"
+ }
+ }
+ },
+ "output": {
+ "type": "structure",
+ "members": {
+ "AppArn": {}
+ }
+ }
+ },
+ "CreateAutoMLJob": {
+ "input": {
+ "type": "structure",
+ "required": [
+ "AutoMLJobName",
+ "InputDataConfig",
+ "OutputDataConfig",
+ "RoleArn"
+ ],
+ "members": {
+ "AutoMLJobName": {},
+ "InputDataConfig": {
+ "shape": "S3f"
+ },
+ "OutputDataConfig": {
+ "shape": "S3l"
+ },
+ "ProblemType": {},
+ "AutoMLJobObjective": {
+ "shape": "S3n"
+ },
+ "AutoMLJobConfig": {
+ "shape": "S3p"
+ },
+ "RoleArn": {},
+ "GenerateCandidateDefinitionsOnly": {
+ "type": "boolean"
+ },
+ "Tags": {
+ "shape": "S3"
+ }
+ }
+ },
+ "output": {
+ "type": "structure",
+ "required": [
+ "AutoMLJobArn"
+ ],
+ "members": {
+ "AutoMLJobArn": {}
+ }
+ }
+ },
"CreateCodeRepository": {
"input": {
"type": "structure",
@@ -81,7 +173,7 @@
"members": {
"CodeRepositoryName": {},
"GitConfig": {
- "shape": "S2z"
+ "shape": "S44"
}
}
},
@@ -109,13 +201,13 @@
"CompilationJobName": {},
"RoleArn": {},
"InputConfig": {
- "shape": "S36"
+ "shape": "S4b"
},
"OutputConfig": {
- "shape": "S39"
+ "shape": "S4e"
},
"StoppingCondition": {
- "shape": "S2c"
+ "shape": "S2h"
}
}
},
@@ -129,6 +221,40 @@
}
}
},
+ "CreateDomain": {
+ "input": {
+ "type": "structure",
+ "required": [
+ "DomainName",
+ "AuthMode",
+ "DefaultUserSettings",
+ "SubnetIds",
+ "VpcId"
+ ],
+ "members": {
+ "DomainName": {},
+ "AuthMode": {},
+ "DefaultUserSettings": {
+ "shape": "S4l"
+ },
+ "SubnetIds": {
+ "shape": "S3y"
+ },
+ "VpcId": {},
+ "Tags": {
+ "shape": "S3"
+ },
+ "HomeEfsFileSystemKmsKeyId": {}
+ }
+ },
+ "output": {
+ "type": "structure",
+ "members": {
+ "DomainArn": {},
+ "Url": {}
+ }
+ }
+ },
"CreateEndpoint": {
"input": {
"type": "structure",
@@ -164,7 +290,10 @@
"members": {
"EndpointConfigName": {},
"ProductionVariants": {
- "shape": "S3j"
+ "shape": "S52"
+ },
+ "DataCaptureConfig": {
+ "shape": "S59"
},
"Tags": {
"shape": "S3"
@@ -182,6 +311,91 @@
}
}
},
+ "CreateExperiment": {
+ "input": {
+ "type": "structure",
+ "required": [
+ "ExperimentName"
+ ],
+ "members": {
+ "ExperimentName": {},
+ "DisplayName": {},
+ "Description": {},
+ "Tags": {
+ "shape": "S3"
+ }
+ }
+ },
+ "output": {
+ "type": "structure",
+ "members": {
+ "ExperimentArn": {}
+ }
+ }
+ },
+ "CreateFlowDefinition": {
+ "input": {
+ "type": "structure",
+ "required": [
+ "FlowDefinitionName",
+ "HumanLoopConfig",
+ "OutputConfig",
+ "RoleArn"
+ ],
+ "members": {
+ "FlowDefinitionName": {},
+ "HumanLoopActivationConfig": {
+ "shape": "S5t"
+ },
+ "HumanLoopConfig": {
+ "shape": "S5y"
+ },
+ "OutputConfig": {
+ "shape": "S6d"
+ },
+ "RoleArn": {},
+ "Tags": {
+ "shape": "S3"
+ }
+ }
+ },
+ "output": {
+ "type": "structure",
+ "required": [
+ "FlowDefinitionArn"
+ ],
+ "members": {
+ "FlowDefinitionArn": {}
+ }
+ }
+ },
+ "CreateHumanTaskUi": {
+ "input": {
+ "type": "structure",
+ "required": [
+ "HumanTaskUiName",
+ "UiTemplate"
+ ],
+ "members": {
+ "HumanTaskUiName": {},
+ "UiTemplate": {
+ "shape": "S6i"
+ },
+ "Tags": {
+ "shape": "S3"
+ }
+ }
+ },
+ "output": {
+ "type": "structure",
+ "required": [
+ "HumanTaskUiArn"
+ ],
+ "members": {
+ "HumanTaskUiArn": {}
+ }
+ }
+ },
"CreateHyperParameterTuningJob": {
"input": {
"type": "structure",
@@ -192,13 +406,16 @@
"members": {
"HyperParameterTuningJobName": {},
"HyperParameterTuningJobConfig": {
- "shape": "S3u"
+ "shape": "S6n"
},
"TrainingJobDefinition": {
- "shape": "S48"
+ "shape": "S73"
+ },
+ "TrainingJobDefinitions": {
+ "shape": "S79"
},
"WarmStartConfig": {
- "shape": "S4i"
+ "shape": "S7a"
},
"Tags": {
"shape": "S3"
@@ -230,21 +447,21 @@
"LabelingJobName": {},
"LabelAttributeName": {},
"InputConfig": {
- "shape": "S4r"
+ "shape": "S7j"
},
"OutputConfig": {
- "shape": "S4x"
+ "shape": "S7p"
},
"RoleArn": {},
"LabelCategoryConfigS3Uri": {},
"StoppingConditions": {
- "shape": "S4y"
+ "shape": "S7q"
},
"LabelingJobAlgorithmsConfig": {
- "shape": "S51"
+ "shape": "S7t"
},
"HumanTaskConfig": {
- "shape": "S55"
+ "shape": "S7x"
},
"Tags": {
"shape": "S3"
@@ -271,17 +488,17 @@
"members": {
"ModelName": {},
"PrimaryContainer": {
- "shape": "S5q"
+ "shape": "S8c"
},
"Containers": {
- "shape": "S5v"
+ "shape": "S8h"
},
"ExecutionRoleArn": {},
"Tags": {
"shape": "S3"
},
"VpcConfig": {
- "shape": "S4c"
+ "shape": "S3v"
},
"EnableNetworkIsolation": {
"type": "boolean"
@@ -308,13 +525,13 @@
"ModelPackageName": {},
"ModelPackageDescription": {},
"InferenceSpecification": {
- "shape": "S17"
+ "shape": "S1c"
},
"ValidationSpecification": {
- "shape": "S5y"
+ "shape": "S8k"
},
"SourceAlgorithmSpecification": {
- "shape": "S61"
+ "shape": "S8n"
},
"CertifyForMarketplace": {
"type": "boolean"
@@ -331,6 +548,33 @@
}
}
},
+ "CreateMonitoringSchedule": {
+ "input": {
+ "type": "structure",
+ "required": [
+ "MonitoringScheduleName",
+ "MonitoringScheduleConfig"
+ ],
+ "members": {
+ "MonitoringScheduleName": {},
+ "MonitoringScheduleConfig": {
+ "shape": "S8u"
+ },
+ "Tags": {
+ "shape": "S3"
+ }
+ }
+ },
+ "output": {
+ "type": "structure",
+ "required": [
+ "MonitoringScheduleArn"
+ ],
+ "members": {
+ "MonitoringScheduleArn": {}
+ }
+ }
+ },
"CreateNotebookInstance": {
"input": {
"type": "structure",
@@ -344,7 +588,7 @@
"InstanceType": {},
"SubnetId": {},
"SecurityGroupIds": {
- "shape": "S69"
+ "shape": "S4m"
},
"RoleArn": {},
"KmsKeyId": {},
@@ -357,11 +601,11 @@
"type": "integer"
},
"AcceleratorTypes": {
- "shape": "S6d"
+ "shape": "Sa2"
},
"DefaultCodeRepository": {},
"AdditionalCodeRepositories": {
- "shape": "S6g"
+ "shape": "Sa5"
},
"RootAccess": {}
}
@@ -382,10 +626,10 @@
"members": {
"NotebookInstanceLifecycleConfigName": {},
"OnCreate": {
- "shape": "S6l"
+ "shape": "Saa"
},
"OnStart": {
- "shape": "S6l"
+ "shape": "Saa"
}
}
},
@@ -396,6 +640,28 @@
}
}
},
+ "CreatePresignedDomainUrl": {
+ "input": {
+ "type": "structure",
+ "required": [
+ "DomainId",
+ "UserProfileName"
+ ],
+ "members": {
+ "DomainId": {},
+ "UserProfileName": {},
+ "SessionExpirationDurationInSeconds": {
+ "type": "integer"
+ }
+ }
+ },
+ "output": {
+ "type": "structure",
+ "members": {
+ "AuthorizedUrl": {}
+ }
+ }
+ },
"CreatePresignedNotebookInstanceUrl": {
"input": {
"type": "structure",
@@ -416,6 +682,57 @@
}
}
},
+ "CreateProcessingJob": {
+ "input": {
+ "type": "structure",
+ "required": [
+ "ProcessingJobName",
+ "ProcessingResources",
+ "AppSpecification",
+ "RoleArn"
+ ],
+ "members": {
+ "ProcessingInputs": {
+ "shape": "San"
+ },
+ "ProcessingOutputConfig": {
+ "shape": "Sat"
+ },
+ "ProcessingJobName": {},
+ "ProcessingResources": {
+ "shape": "Say"
+ },
+ "StoppingCondition": {
+ "shape": "Sb0"
+ },
+ "AppSpecification": {
+ "shape": "Sb2"
+ },
+ "Environment": {
+ "shape": "Sb4"
+ },
+ "NetworkConfig": {
+ "shape": "S9t"
+ },
+ "RoleArn": {},
+ "Tags": {
+ "shape": "S3"
+ },
+ "ExperimentConfig": {
+ "shape": "Sb5"
+ }
+ }
+ },
+ "output": {
+ "type": "structure",
+ "required": [
+ "ProcessingJobArn"
+ ],
+ "members": {
+ "ProcessingJobArn": {}
+ }
+ }
+ },
"CreateTrainingJob": {
"input": {
"type": "structure",
@@ -430,26 +747,26 @@
"members": {
"TrainingJobName": {},
"HyperParameters": {
- "shape": "S1o"
+ "shape": "S1t"
},
"AlgorithmSpecification": {
- "shape": "S6w"
+ "shape": "Sbb"
},
"RoleArn": {},
"InputDataConfig": {
- "shape": "S1q"
+ "shape": "S1v"
},
"OutputDataConfig": {
- "shape": "S27"
+ "shape": "S2c"
},
"ResourceConfig": {
- "shape": "S29"
+ "shape": "S2e"
},
"VpcConfig": {
- "shape": "S4c"
+ "shape": "S3v"
},
"StoppingCondition": {
- "shape": "S2c"
+ "shape": "S2h"
},
"Tags": {
"shape": "S3"
@@ -464,7 +781,19 @@
"type": "boolean"
},
"CheckpointConfig": {
- "shape": "S4h"
+ "shape": "S78"
+ },
+ "DebugHookConfig": {
+ "shape": "Sbc"
+ },
+ "DebugRuleConfigurations": {
+ "shape": "Sbk"
+ },
+ "TensorBoardOutputConfig": {
+ "shape": "Sbp"
+ },
+ "ExperimentConfig": {
+ "shape": "Sb5"
}
}
},
@@ -499,22 +828,25 @@
},
"BatchStrategy": {},
"Environment": {
- "shape": "S2j"
+ "shape": "S2o"
},
"TransformInput": {
- "shape": "S2m"
+ "shape": "S2r"
},
"TransformOutput": {
- "shape": "S2q"
+ "shape": "S2v"
},
"TransformResources": {
- "shape": "S2t"
+ "shape": "S2y"
},
"DataProcessing": {
- "shape": "S71"
+ "shape": "Sbu"
},
"Tags": {
"shape": "S3"
+ },
+ "ExperimentConfig": {
+ "shape": "Sb5"
}
}
},
@@ -528,23 +860,17 @@
}
}
},
- "CreateWorkteam": {
+ "CreateTrial": {
"input": {
"type": "structure",
"required": [
- "WorkteamName",
- "MemberDefinitions",
- "Description"
+ "TrialName",
+ "ExperimentName"
],
"members": {
- "WorkteamName": {},
- "MemberDefinitions": {
- "shape": "S78"
- },
- "Description": {},
- "NotificationConfiguration": {
- "shape": "S7f"
- },
+ "TrialName": {},
+ "DisplayName": {},
+ "ExperimentName": {},
"Tags": {
"shape": "S3"
}
@@ -553,18 +879,130 @@
"output": {
"type": "structure",
"members": {
- "WorkteamArn": {}
+ "TrialArn": {}
}
}
},
- "DeleteAlgorithm": {
+ "CreateTrialComponent": {
"input": {
"type": "structure",
"required": [
- "AlgorithmName"
+ "TrialComponentName"
],
"members": {
- "AlgorithmName": {}
+ "TrialComponentName": {},
+ "DisplayName": {},
+ "Status": {
+ "shape": "Sc2"
+ },
+ "StartTime": {
+ "type": "timestamp"
+ },
+ "EndTime": {
+ "type": "timestamp"
+ },
+ "Parameters": {
+ "shape": "Sc6"
+ },
+ "InputArtifacts": {
+ "shape": "Scb"
+ },
+ "OutputArtifacts": {
+ "shape": "Scb"
+ },
+ "Tags": {
+ "shape": "S3"
+ }
+ }
+ },
+ "output": {
+ "type": "structure",
+ "members": {
+ "TrialComponentArn": {}
+ }
+ }
+ },
+ "CreateUserProfile": {
+ "input": {
+ "type": "structure",
+ "required": [
+ "DomainId",
+ "UserProfileName"
+ ],
+ "members": {
+ "DomainId": {},
+ "UserProfileName": {},
+ "SingleSignOnUserIdentifier": {},
+ "SingleSignOnUserValue": {},
+ "Tags": {
+ "shape": "S3"
+ },
+ "UserSettings": {
+ "shape": "S4l"
+ }
+ }
+ },
+ "output": {
+ "type": "structure",
+ "members": {
+ "UserProfileArn": {}
+ }
+ }
+ },
+ "CreateWorkteam": {
+ "input": {
+ "type": "structure",
+ "required": [
+ "WorkteamName",
+ "MemberDefinitions",
+ "Description"
+ ],
+ "members": {
+ "WorkteamName": {},
+ "MemberDefinitions": {
+ "shape": "Sco"
+ },
+ "Description": {},
+ "NotificationConfiguration": {
+ "shape": "Scv"
+ },
+ "Tags": {
+ "shape": "S3"
+ }
+ }
+ },
+ "output": {
+ "type": "structure",
+ "members": {
+ "WorkteamArn": {}
+ }
+ }
+ },
+ "DeleteAlgorithm": {
+ "input": {
+ "type": "structure",
+ "required": [
+ "AlgorithmName"
+ ],
+ "members": {
+ "AlgorithmName": {}
+ }
+ }
+ },
+ "DeleteApp": {
+ "input": {
+ "type": "structure",
+ "required": [
+ "DomainId",
+ "UserProfileName",
+ "AppType",
+ "AppName"
+ ],
+ "members": {
+ "DomainId": {},
+ "UserProfileName": {},
+ "AppType": {},
+ "AppName": {}
}
}
},
@@ -579,6 +1017,23 @@
}
}
},
+ "DeleteDomain": {
+ "input": {
+ "type": "structure",
+ "required": [
+ "DomainId"
+ ],
+ "members": {
+ "DomainId": {},
+ "RetentionPolicy": {
+ "type": "structure",
+ "members": {
+ "HomeEfsFileSystem": {}
+ }
+ }
+ }
+ }
+ },
"DeleteEndpoint": {
"input": {
"type": "structure",
@@ -601,6 +1056,38 @@
}
}
},
+ "DeleteExperiment": {
+ "input": {
+ "type": "structure",
+ "required": [
+ "ExperimentName"
+ ],
+ "members": {
+ "ExperimentName": {}
+ }
+ },
+ "output": {
+ "type": "structure",
+ "members": {
+ "ExperimentArn": {}
+ }
+ }
+ },
+ "DeleteFlowDefinition": {
+ "input": {
+ "type": "structure",
+ "required": [
+ "FlowDefinitionName"
+ ],
+ "members": {
+ "FlowDefinitionName": {}
+ }
+ },
+ "output": {
+ "type": "structure",
+ "members": {}
+ }
+ },
"DeleteModel": {
"input": {
"type": "structure",
@@ -623,6 +1110,17 @@
}
}
},
+ "DeleteMonitoringSchedule": {
+ "input": {
+ "type": "structure",
+ "required": [
+ "MonitoringScheduleName"
+ ],
+ "members": {
+ "MonitoringScheduleName": {}
+ }
+ }
+ },
"DeleteNotebookInstance": {
"input": {
"type": "structure",
@@ -665,6 +1163,53 @@
"members": {}
}
},
+ "DeleteTrial": {
+ "input": {
+ "type": "structure",
+ "required": [
+ "TrialName"
+ ],
+ "members": {
+ "TrialName": {}
+ }
+ },
+ "output": {
+ "type": "structure",
+ "members": {
+ "TrialArn": {}
+ }
+ }
+ },
+ "DeleteTrialComponent": {
+ "input": {
+ "type": "structure",
+ "required": [
+ "TrialComponentName"
+ ],
+ "members": {
+ "TrialComponentName": {}
+ }
+ },
+ "output": {
+ "type": "structure",
+ "members": {
+ "TrialComponentArn": {}
+ }
+ }
+ },
+ "DeleteUserProfile": {
+ "input": {
+ "type": "structure",
+ "required": [
+ "DomainId",
+ "UserProfileName"
+ ],
+ "members": {
+ "DomainId": {},
+ "UserProfileName": {}
+ }
+ }
+ },
"DeleteWorkteam": {
"input": {
"type": "structure",
@@ -715,23 +1260,23 @@
"type": "timestamp"
},
"TrainingSpecification": {
- "shape": "Sb"
+ "shape": "Sg"
},
"InferenceSpecification": {
- "shape": "S17"
+ "shape": "S1c"
},
"ValidationSpecification": {
- "shape": "S1j"
+ "shape": "S1o"
},
"AlgorithmStatus": {},
"AlgorithmStatusDetails": {
"type": "structure",
"members": {
"ValidationStatuses": {
- "shape": "S81"
+ "shape": "Sdv"
},
"ImageScanStatuses": {
- "shape": "S81"
+ "shape": "Sdv"
}
}
},
@@ -742,6 +1287,127 @@
}
}
},
+ "DescribeApp": {
+ "input": {
+ "type": "structure",
+ "required": [
+ "DomainId",
+ "UserProfileName",
+ "AppType",
+ "AppName"
+ ],
+ "members": {
+ "DomainId": {},
+ "UserProfileName": {},
+ "AppType": {},
+ "AppName": {}
+ }
+ },
+ "output": {
+ "type": "structure",
+ "members": {
+ "AppArn": {},
+ "AppType": {},
+ "AppName": {},
+ "DomainId": {},
+ "UserProfileName": {},
+ "Status": {},
+ "LastHealthCheckTimestamp": {
+ "type": "timestamp"
+ },
+ "LastUserActivityTimestamp": {
+ "type": "timestamp"
+ },
+ "CreationTime": {
+ "type": "timestamp"
+ },
+ "FailureReason": {},
+ "ResourceSpec": {
+ "shape": "S38"
+ }
+ }
+ }
+ },
+ "DescribeAutoMLJob": {
+ "input": {
+ "type": "structure",
+ "required": [
+ "AutoMLJobName"
+ ],
+ "members": {
+ "AutoMLJobName": {}
+ }
+ },
+ "output": {
+ "type": "structure",
+ "required": [
+ "AutoMLJobName",
+ "AutoMLJobArn",
+ "InputDataConfig",
+ "OutputDataConfig",
+ "RoleArn",
+ "CreationTime",
+ "LastModifiedTime",
+ "AutoMLJobStatus",
+ "AutoMLJobSecondaryStatus"
+ ],
+ "members": {
+ "AutoMLJobName": {},
+ "AutoMLJobArn": {},
+ "InputDataConfig": {
+ "shape": "S3f"
+ },
+ "OutputDataConfig": {
+ "shape": "S3l"
+ },
+ "RoleArn": {},
+ "AutoMLJobObjective": {
+ "shape": "S3n"
+ },
+ "ProblemType": {},
+ "AutoMLJobConfig": {
+ "shape": "S3p"
+ },
+ "CreationTime": {
+ "type": "timestamp"
+ },
+ "EndTime": {
+ "type": "timestamp"
+ },
+ "LastModifiedTime": {
+ "type": "timestamp"
+ },
+ "FailureReason": {},
+ "BestCandidate": {
+ "shape": "Se5"
+ },
+ "AutoMLJobStatus": {},
+ "AutoMLJobSecondaryStatus": {},
+ "GenerateCandidateDefinitionsOnly": {
+ "type": "boolean"
+ },
+ "AutoMLJobArtifacts": {
+ "type": "structure",
+ "members": {
+ "CandidateDefinitionNotebookLocation": {},
+ "DataExplorationNotebookLocation": {}
+ }
+ },
+ "ResolvedAttributes": {
+ "type": "structure",
+ "members": {
+ "AutoMLJobObjective": {
+ "shape": "S3n"
+ },
+ "ProblemType": {},
+ "CompletionCriteria": {
+ "shape": "S3q"
+ }
+ }
+ }
+ }
+ }
+ },
"DescribeCodeRepository": {
"input": {
"type": "structure",
@@ -770,7 +1436,7 @@
"type": "timestamp"
},
"GitConfig": {
- "shape": "S2z"
+ "shape": "S44"
}
}
}
@@ -811,7 +1477,7 @@
"type": "timestamp"
},
"StoppingCondition": {
- "shape": "S2c"
+ "shape": "S2h"
},
"CreationTime": {
"type": "timestamp"
@@ -821,18 +1487,57 @@
},
"FailureReason": {},
"ModelArtifacts": {
- "shape": "S8d"
+ "shape": "Sev"
},
"RoleArn": {},
"InputConfig": {
- "shape": "S36"
+ "shape": "S4b"
},
"OutputConfig": {
- "shape": "S39"
+ "shape": "S4e"
}
}
}
},
+ "DescribeDomain": {
+ "input": {
+ "type": "structure",
+ "required": [
+ "DomainId"
+ ],
+ "members": {
+ "DomainId": {}
+ }
+ },
+ "output": {
+ "type": "structure",
+ "members": {
+ "DomainArn": {},
+ "DomainId": {},
+ "DomainName": {},
+ "HomeEfsFileSystemId": {},
+ "SingleSignOnManagedApplicationInstanceId": {},
+ "Status": {},
+ "CreationTime": {
+ "type": "timestamp"
+ },
+ "LastModifiedTime": {
+ "type": "timestamp"
+ },
+ "FailureReason": {},
+ "AuthMode": {},
+ "DefaultUserSettings": {
+ "shape": "S4l"
+ },
+ "HomeEfsFileSystemKmsKeyId": {},
+ "SubnetIds": {
+ "shape": "S3y"
+ },
+ "Url": {},
+ "VpcId": {}
+ }
+ }
+ },
"DescribeEndpoint": {
"input": {
"type": "structure",
@@ -894,6 +1599,27 @@
}
}
},
+ "DataCaptureConfig": {
+ "type": "structure",
+ "required": [
+ "EnableCapture",
+ "CaptureStatus",
+ "CurrentSamplingPercentage",
+ "DestinationS3Uri",
+ "KmsKeyId"
+ ],
+ "members": {
+ "EnableCapture": {
+ "type": "boolean"
+ },
+ "CaptureStatus": {},
+ "CurrentSamplingPercentage": {
+ "type": "integer"
+ },
+ "DestinationS3Uri": {},
+ "KmsKeyId": {}
+ }
+ },
"EndpointStatus": {},
"FailureReason": {},
"CreationTime": {
@@ -927,7 +1653,10 @@
"EndpointConfigName": {},
"EndpointConfigArn": {},
"ProductionVariants": {
- "shape": "S3j"
+ "shape": "S52"
+ },
+ "DataCaptureConfig": {
+ "shape": "S59"
},
"KmsKeyId": {},
"CreationTime": {
@@ -936,21 +1665,132 @@
}
}
},
- "DescribeHyperParameterTuningJob": {
+ "DescribeExperiment": {
"input": {
"type": "structure",
"required": [
- "HyperParameterTuningJobName"
+ "ExperimentName"
],
"members": {
- "HyperParameterTuningJobName": {}
+ "ExperimentName": {}
}
},
"output": {
"type": "structure",
- "required": [
- "HyperParameterTuningJobName",
- "HyperParameterTuningJobArn",
+ "members": {
+ "ExperimentName": {},
+ "ExperimentArn": {},
+ "DisplayName": {},
+ "Source": {
+ "shape": "Sfd"
+ },
+ "Description": {},
+ "CreationTime": {
+ "type": "timestamp"
+ },
+ "CreatedBy": {
+ "shape": "Sfg"
+ },
+ "LastModifiedTime": {
+ "type": "timestamp"
+ },
+ "LastModifiedBy": {
+ "shape": "Sfg"
+ }
+ }
+ }
+ },
+ "DescribeFlowDefinition": {
+ "input": {
+ "type": "structure",
+ "required": [
+ "FlowDefinitionName"
+ ],
+ "members": {
+ "FlowDefinitionName": {}
+ }
+ },
+ "output": {
+ "type": "structure",
+ "required": [
+ "FlowDefinitionArn",
+ "FlowDefinitionName",
+ "FlowDefinitionStatus",
+ "CreationTime",
+ "HumanLoopConfig",
+ "OutputConfig",
+ "RoleArn"
+ ],
+ "members": {
+ "FlowDefinitionArn": {},
+ "FlowDefinitionName": {},
+ "FlowDefinitionStatus": {},
+ "CreationTime": {
+ "type": "timestamp"
+ },
+ "HumanLoopActivationConfig": {
+ "shape": "S5t"
+ },
+ "HumanLoopConfig": {
+ "shape": "S5y"
+ },
+ "OutputConfig": {
+ "shape": "S6d"
+ },
+ "RoleArn": {},
+ "FailureReason": {}
+ }
+ }
+ },
+ "DescribeHumanTaskUi": {
+ "input": {
+ "type": "structure",
+ "required": [
+ "HumanTaskUiName"
+ ],
+ "members": {
+ "HumanTaskUiName": {}
+ }
+ },
+ "output": {
+ "type": "structure",
+ "required": [
+ "HumanTaskUiArn",
+ "HumanTaskUiName",
+ "CreationTime",
+ "UiTemplate"
+ ],
+ "members": {
+ "HumanTaskUiArn": {},
+ "HumanTaskUiName": {},
+ "CreationTime": {
+ "type": "timestamp"
+ },
+ "UiTemplate": {
+ "type": "structure",
+ "members": {
+ "Url": {},
+ "ContentSha256": {}
+ }
+ }
+ }
+ }
+ },
+ "DescribeHyperParameterTuningJob": {
+ "input": {
+ "type": "structure",
+ "required": [
+ "HyperParameterTuningJobName"
+ ],
+ "members": {
+ "HyperParameterTuningJobName": {}
+ }
+ },
+ "output": {
+ "type": "structure",
+ "required": [
+ "HyperParameterTuningJobName",
+ "HyperParameterTuningJobArn",
"HyperParameterTuningJobConfig",
"HyperParameterTuningJobStatus",
"CreationTime",
@@ -961,10 +1801,13 @@
"HyperParameterTuningJobName": {},
"HyperParameterTuningJobArn": {},
"HyperParameterTuningJobConfig": {
- "shape": "S3u"
+ "shape": "S6n"
},
"TrainingJobDefinition": {
- "shape": "S48"
+ "shape": "S73"
+ },
+ "TrainingJobDefinitions": {
+ "shape": "S79"
},
"HyperParameterTuningJobStatus": {},
"CreationTime": {
@@ -977,19 +1820,19 @@
"type": "timestamp"
},
"TrainingJobStatusCounters": {
- "shape": "S8q"
+ "shape": "Sfs"
},
"ObjectiveStatusCounters": {
- "shape": "S8s"
+ "shape": "Sfu"
},
"BestTrainingJob": {
- "shape": "S8u"
+ "shape": "Sfw"
},
"OverallBestTrainingJob": {
- "shape": "S8u"
+ "shape": "Sfw"
},
"WarmStartConfig": {
- "shape": "S4i"
+ "shape": "S7a"
},
"FailureReason": {}
}
@@ -1023,7 +1866,7 @@
"members": {
"LabelingJobStatus": {},
"LabelCounters": {
- "shape": "S92"
+ "shape": "Sg2"
},
"FailureReason": {},
"CreationTime": {
@@ -1037,27 +1880,27 @@
"LabelingJobArn": {},
"LabelAttributeName": {},
"InputConfig": {
- "shape": "S4r"
+ "shape": "S7j"
},
"OutputConfig": {
- "shape": "S4x"
+ "shape": "S7p"
},
"RoleArn": {},
"LabelCategoryConfigS3Uri": {},
"StoppingConditions": {
- "shape": "S4y"
+ "shape": "S7q"
},
"LabelingJobAlgorithmsConfig": {
- "shape": "S51"
+ "shape": "S7t"
},
"HumanTaskConfig": {
- "shape": "S55"
+ "shape": "S7x"
},
"Tags": {
"shape": "S3"
},
"LabelingJobOutput": {
- "shape": "S95"
+ "shape": "Sg5"
}
}
}
@@ -1083,14 +1926,14 @@
"members": {
"ModelName": {},
"PrimaryContainer": {
- "shape": "S5q"
+ "shape": "S8c"
},
"Containers": {
- "shape": "S5v"
+ "shape": "S8h"
},
"ExecutionRoleArn": {},
"VpcConfig": {
- "shape": "S4c"
+ "shape": "S3v"
},
"CreationTime": {
"type": "timestamp"
@@ -1129,13 +1972,13 @@
"type": "timestamp"
},
"InferenceSpecification": {
- "shape": "S17"
+ "shape": "S1c"
},
"SourceAlgorithmSpecification": {
- "shape": "S61"
+ "shape": "S8n"
},
"ValidationSpecification": {
- "shape": "S5y"
+ "shape": "S8k"
},
"ModelPackageStatus": {},
"ModelPackageStatusDetails": {
@@ -1145,10 +1988,10 @@
],
"members": {
"ValidationStatuses": {
- "shape": "S9c"
+ "shape": "Sgc"
},
"ImageScanStatuses": {
- "shape": "S9c"
+ "shape": "Sgc"
}
}
},
@@ -1158,6 +2001,47 @@
}
}
},
+ "DescribeMonitoringSchedule": {
+ "input": {
+ "type": "structure",
+ "required": [
+ "MonitoringScheduleName"
+ ],
+ "members": {
+ "MonitoringScheduleName": {}
+ }
+ },
+ "output": {
+ "type": "structure",
+ "required": [
+ "MonitoringScheduleArn",
+ "MonitoringScheduleName",
+ "MonitoringScheduleStatus",
+ "CreationTime",
+ "LastModifiedTime",
+ "MonitoringScheduleConfig"
+ ],
+ "members": {
+ "MonitoringScheduleArn": {},
+ "MonitoringScheduleName": {},
+ "MonitoringScheduleStatus": {},
+ "FailureReason": {},
+ "CreationTime": {
+ "type": "timestamp"
+ },
+ "LastModifiedTime": {
+ "type": "timestamp"
+ },
+ "MonitoringScheduleConfig": {
+ "shape": "S8u"
+ },
+ "EndpointName": {},
+ "LastMonitoringExecutionSummary": {
+ "shape": "Sgi"
+ }
+ }
+ }
+ },
"DescribeNotebookInstance": {
"input": {
"type": "structure",
@@ -1179,7 +2063,7 @@
"InstanceType": {},
"SubnetId": {},
"SecurityGroups": {
- "shape": "S69"
+ "shape": "S4m"
},
"RoleArn": {},
"KmsKeyId": {},
@@ -1196,11 +2080,11 @@
"type": "integer"
},
"AcceleratorTypes": {
- "shape": "S6d"
+ "shape": "Sa2"
},
"DefaultCodeRepository": {},
"AdditionalCodeRepositories": {
- "shape": "S6g"
+ "shape": "Sa5"
},
"RootAccess": {}
}
@@ -1222,10 +2106,10 @@
"NotebookInstanceLifecycleConfigArn": {},
"NotebookInstanceLifecycleConfigName": {},
"OnCreate": {
- "shape": "S6l"
+ "shape": "Saa"
},
"OnStart": {
- "shape": "S6l"
+ "shape": "Saa"
},
"LastModifiedTime": {
"type": "timestamp"
@@ -1236,6 +2120,75 @@
}
}
},
+ "DescribeProcessingJob": {
+ "input": {
+ "type": "structure",
+ "required": [
+ "ProcessingJobName"
+ ],
+ "members": {
+ "ProcessingJobName": {}
+ }
+ },
+ "output": {
+ "type": "structure",
+ "required": [
+ "ProcessingJobName",
+ "ProcessingResources",
+ "AppSpecification",
+ "ProcessingJobArn",
+ "ProcessingJobStatus",
+ "CreationTime"
+ ],
+ "members": {
+ "ProcessingInputs": {
+ "shape": "San"
+ },
+ "ProcessingOutputConfig": {
+ "shape": "Sat"
+ },
+ "ProcessingJobName": {},
+ "ProcessingResources": {
+ "shape": "Say"
+ },
+ "StoppingCondition": {
+ "shape": "Sb0"
+ },
+ "AppSpecification": {
+ "shape": "Sb2"
+ },
+ "Environment": {
+ "shape": "Sb4"
+ },
+ "NetworkConfig": {
+ "shape": "S9t"
+ },
+ "RoleArn": {},
+ "ExperimentConfig": {
+ "shape": "Sb5"
+ },
+ "ProcessingJobArn": {},
+ "ProcessingJobStatus": {},
+ "ExitMessage": {},
+ "FailureReason": {},
+ "ProcessingEndTime": {
+ "type": "timestamp"
+ },
+ "ProcessingStartTime": {
+ "type": "timestamp"
+ },
+ "LastModifiedTime": {
+ "type": "timestamp"
+ },
+ "CreationTime": {
+ "type": "timestamp"
+ },
+ "MonitoringScheduleArn": {},
+ "AutoMLJobArn": {},
+ "TrainingJobArn": {}
+ }
+ }
+ },
"DescribeSubscribedWorkteam": {
"input": {
"type": "structure",
@@ -1253,7 +2206,7 @@
],
"members": {
"SubscribedWorkteam": {
- "shape": "S9n"
+ "shape": "Sgw"
}
}
}
@@ -1286,33 +2239,34 @@
"TrainingJobArn": {},
"TuningJobArn": {},
"LabelingJobArn": {},
+ "AutoMLJobArn": {},
"ModelArtifacts": {
- "shape": "S8d"
+ "shape": "Sev"
},
"TrainingJobStatus": {},
"SecondaryStatus": {},
"FailureReason": {},
"HyperParameters": {
- "shape": "S1o"
+ "shape": "S1t"
},
"AlgorithmSpecification": {
- "shape": "S6w"
+ "shape": "Sbb"
},
"RoleArn": {},
"InputDataConfig": {
- "shape": "S1q"
+ "shape": "S1v"
},
"OutputDataConfig": {
- "shape": "S27"
+ "shape": "S2c"
},
"ResourceConfig": {
- "shape": "S29"
+ "shape": "S2e"
},
"VpcConfig": {
- "shape": "S4c"
+ "shape": "S3v"
},
"StoppingCondition": {
- "shape": "S2c"
+ "shape": "S2h"
},
"CreationTime": {
"type": "timestamp"
@@ -1327,10 +2281,10 @@
"type": "timestamp"
},
"SecondaryStatusTransitions": {
- "shape": "S9r"
+ "shape": "Sh0"
},
"FinalMetricDataList": {
- "shape": "S9u"
+ "shape": "Sh3"
},
"EnableNetworkIsolation": {
"type": "boolean"
@@ -1342,13 +2296,28 @@
"type": "boolean"
},
"CheckpointConfig": {
- "shape": "S4h"
+ "shape": "S78"
},
"TrainingTimeInSeconds": {
"type": "integer"
},
"BillableTimeInSeconds": {
"type": "integer"
+ },
+ "DebugHookConfig": {
+ "shape": "Sbc"
+ },
+ "ExperimentConfig": {
+ "shape": "Sb5"
+ },
+ "DebugRuleConfigurations": {
+ "shape": "Sbk"
+ },
+ "TensorBoardOutputConfig": {
+ "shape": "Sbp"
+ },
+ "DebugRuleEvaluationStatuses": {
+ "shape": "Sh8"
}
}
}
@@ -1388,16 +2357,16 @@
},
"BatchStrategy": {},
"Environment": {
- "shape": "S2j"
+ "shape": "S2o"
},
"TransformInput": {
- "shape": "S2m"
+ "shape": "S2r"
},
"TransformOutput": {
- "shape": "S2q"
+ "shape": "S2v"
},
"TransformResources": {
- "shape": "S2t"
+ "shape": "S2y"
},
"CreationTime": {
"type": "timestamp"
@@ -1409,8 +2378,137 @@
"type": "timestamp"
},
"LabelingJobArn": {},
+ "AutoMLJobArn": {},
"DataProcessing": {
- "shape": "S71"
+ "shape": "Sbu"
+ },
+ "ExperimentConfig": {
+ "shape": "Sb5"
+ }
+ }
+ }
+ },
+ "DescribeTrial": {
+ "input": {
+ "type": "structure",
+ "required": [
+ "TrialName"
+ ],
+ "members": {
+ "TrialName": {}
+ }
+ },
+ "output": {
+ "type": "structure",
+ "members": {
+ "TrialName": {},
+ "TrialArn": {},
+ "DisplayName": {},
+ "ExperimentName": {},
+ "Source": {
+ "shape": "Shh"
+ },
+ "CreationTime": {
+ "type": "timestamp"
+ },
+ "CreatedBy": {
+ "shape": "Sfg"
+ },
+ "LastModifiedTime": {
+ "type": "timestamp"
+ },
+ "LastModifiedBy": {
+ "shape": "Sfg"
+ }
+ }
+ }
+ },
+ "DescribeTrialComponent": {
+ "input": {
+ "type": "structure",
+ "required": [
+ "TrialComponentName"
+ ],
+ "members": {
+ "TrialComponentName": {}
+ }
+ },
+ "output": {
+ "type": "structure",
+ "members": {
+ "TrialComponentName": {},
+ "TrialComponentArn": {},
+ "DisplayName": {},
+ "Source": {
+ "shape": "Shl"
+ },
+ "Status": {
+ "shape": "Sc2"
+ },
+ "StartTime": {
+ "type": "timestamp"
+ },
+ "EndTime": {
+ "type": "timestamp"
+ },
+ "CreationTime": {
+ "type": "timestamp"
+ },
+ "CreatedBy": {
+ "shape": "Sfg"
+ },
+ "LastModifiedTime": {
+ "type": "timestamp"
+ },
+ "LastModifiedBy": {
+ "shape": "Sfg"
+ },
+ "Parameters": {
+ "shape": "Sc6"
+ },
+ "InputArtifacts": {
+ "shape": "Scb"
+ },
+ "OutputArtifacts": {
+ "shape": "Scb"
+ },
+ "Metrics": {
+ "shape": "Shn"
+ }
+ }
+ }
+ },
+ "DescribeUserProfile": {
+ "input": {
+ "type": "structure",
+ "required": [
+ "DomainId",
+ "UserProfileName"
+ ],
+ "members": {
+ "DomainId": {},
+ "UserProfileName": {}
+ }
+ },
+ "output": {
+ "type": "structure",
+ "members": {
+ "DomainId": {},
+ "UserProfileArn": {},
+ "UserProfileName": {},
+ "HomeEfsFileSystemUid": {},
+ "Status": {},
+ "LastModifiedTime": {
+ "type": "timestamp"
+ },
+ "CreationTime": {
+ "type": "timestamp"
+ },
+ "FailureReason": {},
+ "SingleSignOnUserIdentifier": {},
+ "SingleSignOnUserValue": {},
+ "UserSettings": {
+ "shape": "S4l"
}
}
}
@@ -1432,11 +2530,31 @@
],
"members": {
"Workteam": {
- "shape": "Sa4"
+ "shape": "Shx"
}
}
}
},
+ "DisassociateTrialComponent": {
+ "input": {
+ "type": "structure",
+ "required": [
+ "TrialComponentName",
+ "TrialName"
+ ],
+ "members": {
+ "TrialComponentName": {},
+ "TrialName": {}
+ }
+ },
+ "output": {
+ "type": "structure",
+ "members": {
+ "TrialComponentArn": {},
+ "TrialArn": {}
+ }
+ }
+ },
"GetSearchSuggestions": {
"input": {
"type": "structure",
@@ -1526,11 +2644,148 @@
}
}
},
- "ListCodeRepositories": {
+ "ListApps": {
"input": {
"type": "structure",
"members": {
- "CreationTimeAfter": {
+ "NextToken": {},
+ "MaxResults": {
+ "type": "integer"
+ },
+ "SortOrder": {},
+ "SortBy": {},
+ "DomainIdEquals": {},
+ "UserProfileNameEquals": {}
+ }
+ },
+ "output": {
+ "type": "structure",
+ "members": {
+ "Apps": {
+ "type": "list",
+ "member": {
+ "type": "structure",
+ "members": {
+ "DomainId": {},
+ "UserProfileName": {},
+ "AppType": {},
+ "AppName": {},
+ "Status": {},
+ "CreationTime": {
+ "type": "timestamp"
+ }
+ }
+ }
+ },
+ "NextToken": {}
+ }
+ }
+ },
+ "ListAutoMLJobs": {
+ "input": {
+ "type": "structure",
+ "members": {
+ "CreationTimeAfter": {
+ "type": "timestamp"
+ },
+ "CreationTimeBefore": {
+ "type": "timestamp"
+ },
+ "LastModifiedTimeAfter": {
+ "type": "timestamp"
+ },
+ "LastModifiedTimeBefore": {
+ "type": "timestamp"
+ },
+ "NameContains": {},
+ "StatusEquals": {},
+ "SortOrder": {},
+ "SortBy": {},
+ "MaxResults": {
+ "type": "integer"
+ },
+ "NextToken": {}
+ }
+ },
+ "output": {
+ "type": "structure",
+ "required": [
+ "AutoMLJobSummaries"
+ ],
+ "members": {
+ "AutoMLJobSummaries": {
+ "type": "list",
+ "member": {
+ "type": "structure",
+ "required": [
+ "AutoMLJobName",
+ "AutoMLJobArn",
+ "AutoMLJobStatus",
+ "AutoMLJobSecondaryStatus",
+ "CreationTime",
+ "LastModifiedTime"
+ ],
+ "members": {
+ "AutoMLJobName": {},
+ "AutoMLJobArn": {},
+ "AutoMLJobStatus": {},
+ "AutoMLJobSecondaryStatus": {},
+ "CreationTime": {
+ "type": "timestamp"
+ },
+ "EndTime": {
+ "type": "timestamp"
+ },
+ "LastModifiedTime": {
+ "type": "timestamp"
+ },
+ "FailureReason": {}
+ }
+ }
+ },
+ "NextToken": {}
+ }
+ }
+ },
+ "ListCandidatesForAutoMLJob": {
+ "input": {
+ "type": "structure",
+ "required": [
+ "AutoMLJobName"
+ ],
+ "members": {
+ "AutoMLJobName": {},
+ "StatusEquals": {},
+ "CandidateNameEquals": {},
+ "SortOrder": {},
+ "SortBy": {},
+ "MaxResults": {
+ "type": "integer"
+ },
+ "NextToken": {}
+ }
+ },
+ "output": {
+ "type": "structure",
+ "required": [
+ "Candidates"
+ ],
+ "members": {
+ "Candidates": {
+ "type": "list",
+ "member": {
+ "shape": "Se5"
+ }
+ },
+ "NextToken": {}
+ }
+ }
+ },
+ "ListCodeRepositories": {
+ "input": {
+ "type": "structure",
+ "members": {
+ "CreationTimeAfter": {
"type": "timestamp"
},
"CreationTimeBefore": {
@@ -1577,7 +2832,7 @@
"type": "timestamp"
},
"GitConfig": {
- "shape": "S2z"
+ "shape": "S44"
}
}
}
@@ -1653,6 +2908,42 @@
}
}
},
+ "ListDomains": {
+ "input": {
+ "type": "structure",
+ "members": {
+ "NextToken": {},
+ "MaxResults": {
+ "type": "integer"
+ }
+ }
+ },
+ "output": {
+ "type": "structure",
+ "members": {
+ "Domains": {
+ "type": "list",
+ "member": {
+ "type": "structure",
+ "members": {
+ "DomainArn": {},
+ "DomainId": {},
+ "DomainName": {},
+ "Status": {},
+ "CreationTime": {
+ "type": "timestamp"
+ },
+ "LastModifiedTime": {
+ "type": "timestamp"
+ },
+ "Url": {}
+ }
+ }
+ },
+ "NextToken": {}
+ }
+ }
+ },
"ListEndpointConfigs": {
"input": {
"type": "structure",
@@ -1760,6 +3051,144 @@
}
}
},
+ "ListExperiments": {
+ "input": {
+ "type": "structure",
+ "members": {
+ "CreatedAfter": {
+ "type": "timestamp"
+ },
+ "CreatedBefore": {
+ "type": "timestamp"
+ },
+ "SortBy": {},
+ "SortOrder": {},
+ "NextToken": {},
+ "MaxResults": {
+ "type": "integer"
+ }
+ }
+ },
+ "output": {
+ "type": "structure",
+ "members": {
+ "ExperimentSummaries": {
+ "type": "list",
+ "member": {
+ "type": "structure",
+ "members": {
+ "ExperimentArn": {},
+ "ExperimentName": {},
+ "DisplayName": {},
+ "ExperimentSource": {
+ "shape": "Sfd"
+ },
+ "CreationTime": {
+ "type": "timestamp"
+ },
+ "LastModifiedTime": {
+ "type": "timestamp"
+ }
+ }
+ }
+ },
+ "NextToken": {}
+ }
+ }
+ },
+ "ListFlowDefinitions": {
+ "input": {
+ "type": "structure",
+ "members": {
+ "CreationTimeAfter": {
+ "type": "timestamp"
+ },
+ "CreationTimeBefore": {
+ "type": "timestamp"
+ },
+ "SortOrder": {},
+ "NextToken": {},
+ "MaxResults": {
+ "type": "integer"
+ }
+ }
+ },
+ "output": {
+ "type": "structure",
+ "required": [
+ "FlowDefinitionSummaries"
+ ],
+ "members": {
+ "FlowDefinitionSummaries": {
+ "type": "list",
+ "member": {
+ "type": "structure",
+ "required": [
+ "FlowDefinitionName",
+ "FlowDefinitionArn",
+ "FlowDefinitionStatus",
+ "CreationTime"
+ ],
+ "members": {
+ "FlowDefinitionName": {},
+ "FlowDefinitionArn": {},
+ "FlowDefinitionStatus": {},
+ "CreationTime": {
+ "type": "timestamp"
+ },
+ "FailureReason": {}
+ }
+ }
+ },
+ "NextToken": {}
+ }
+ }
+ },
+ "ListHumanTaskUis": {
+ "input": {
+ "type": "structure",
+ "members": {
+ "CreationTimeAfter": {
+ "type": "timestamp"
+ },
+ "CreationTimeBefore": {
+ "type": "timestamp"
+ },
+ "SortOrder": {},
+ "NextToken": {},
+ "MaxResults": {
+ "type": "integer"
+ }
+ }
+ },
+ "output": {
+ "type": "structure",
+ "required": [
+ "HumanTaskUiSummaries"
+ ],
+ "members": {
+ "HumanTaskUiSummaries": {
+ "type": "list",
+ "member": {
+ "type": "structure",
+ "required": [
+ "HumanTaskUiName",
+ "HumanTaskUiArn",
+ "CreationTime"
+ ],
+ "members": {
+ "HumanTaskUiName": {},
+ "HumanTaskUiArn": {},
+ "CreationTime": {
+ "type": "timestamp"
+ }
+ }
+ }
+ },
+ "NextToken": {}
+ }
+ }
+ },
"ListHyperParameterTuningJobs": {
"input": {
"type": "structure",
@@ -1820,13 +3249,13 @@
"type": "timestamp"
},
"TrainingJobStatusCounters": {
- "shape": "S8q"
+ "shape": "Sfs"
},
"ObjectiveStatusCounters": {
- "shape": "S8s"
+ "shape": "Sfu"
},
"ResourceLimits": {
- "shape": "S3w"
+ "shape": "S6p"
}
}
}
@@ -1889,17 +3318,17 @@
},
"LabelingJobStatus": {},
"LabelCounters": {
- "shape": "S92"
+ "shape": "Sg2"
},
"WorkteamArn": {},
"PreHumanTaskLambdaArn": {},
"AnnotationConsolidationLambdaArn": {},
"FailureReason": {},
"LabelingJobOutput": {
- "shape": "S95"
+ "shape": "Sg5"
},
"InputConfig": {
- "shape": "S4r"
+ "shape": "S7j"
}
}
}
@@ -2074,12 +3503,123 @@
}
}
},
- "ListNotebookInstanceLifecycleConfigs": {
+ "ListMonitoringExecutions": {
"input": {
"type": "structure",
"members": {
- "NextToken": {},
- "MaxResults": {
+ "MonitoringScheduleName": {},
+ "EndpointName": {},
+ "SortBy": {},
+ "SortOrder": {},
+ "NextToken": {},
+ "MaxResults": {
+ "type": "integer"
+ },
+ "ScheduledTimeBefore": {
+ "type": "timestamp"
+ },
+ "ScheduledTimeAfter": {
+ "type": "timestamp"
+ },
+ "CreationTimeBefore": {
+ "type": "timestamp"
+ },
+ "CreationTimeAfter": {
+ "type": "timestamp"
+ },
+ "LastModifiedTimeBefore": {
+ "type": "timestamp"
+ },
+ "LastModifiedTimeAfter": {
+ "type": "timestamp"
+ },
+ "StatusEquals": {}
+ }
+ },
+ "output": {
+ "type": "structure",
+ "required": [
+ "MonitoringExecutionSummaries"
+ ],
+ "members": {
+ "MonitoringExecutionSummaries": {
+ "type": "list",
+ "member": {
+ "shape": "Sgi"
+ }
+ },
+ "NextToken": {}
+ }
+ }
+ },
+ "ListMonitoringSchedules": {
+ "input": {
+ "type": "structure",
+ "members": {
+ "EndpointName": {},
+ "SortBy": {},
+ "SortOrder": {},
+ "NextToken": {},
+ "MaxResults": {
+ "type": "integer"
+ },
+ "NameContains": {},
+ "CreationTimeBefore": {
+ "type": "timestamp"
+ },
+ "CreationTimeAfter": {
+ "type": "timestamp"
+ },
+ "LastModifiedTimeBefore": {
+ "type": "timestamp"
+ },
+ "LastModifiedTimeAfter": {
+ "type": "timestamp"
+ },
+ "StatusEquals": {}
+ }
+ },
+ "output": {
+ "type": "structure",
+ "required": [
+ "MonitoringScheduleSummaries"
+ ],
+ "members": {
+ "MonitoringScheduleSummaries": {
+ "type": "list",
+ "member": {
+ "type": "structure",
+ "required": [
+ "MonitoringScheduleName",
+ "MonitoringScheduleArn",
+ "CreationTime",
+ "LastModifiedTime",
+ "MonitoringScheduleStatus"
+ ],
+ "members": {
+ "MonitoringScheduleName": {},
+ "MonitoringScheduleArn": {},
+ "CreationTime": {
+ "type": "timestamp"
+ },
+ "LastModifiedTime": {
+ "type": "timestamp"
+ },
+ "MonitoringScheduleStatus": {},
+ "EndpointName": {}
+ }
+ }
+ },
+ "NextToken": {}
+ }
+ }
+ },
+ "ListNotebookInstanceLifecycleConfigs": {
+ "input": {
+ "type": "structure",
+ "members": {
+ "NextToken": {},
+ "MaxResults": {
"type": "integer"
},
"SortBy": {},
@@ -2182,7 +3722,7 @@
"NotebookInstanceLifecycleConfigName": {},
"DefaultCodeRepository": {},
"AdditionalCodeRepositories": {
- "shape": "S6g"
+ "shape": "Sa5"
}
}
}
@@ -2190,6 +3730,70 @@
}
}
},
+ "ListProcessingJobs": {
+ "input": {
+ "type": "structure",
+ "members": {
+ "CreationTimeAfter": {
+ "type": "timestamp"
+ },
+ "CreationTimeBefore": {
+ "type": "timestamp"
+ },
+ "LastModifiedTimeAfter": {
+ "type": "timestamp"
+ },
+ "LastModifiedTimeBefore": {
+ "type": "timestamp"
+ },
+ "NameContains": {},
+ "StatusEquals": {},
+ "SortBy": {},
+ "SortOrder": {},
+ "NextToken": {},
+ "MaxResults": {
+ "type": "integer"
+ }
+ }
+ },
+ "output": {
+ "type": "structure",
+ "required": [
+ "ProcessingJobSummaries"
+ ],
+ "members": {
+ "ProcessingJobSummaries": {
+ "type": "list",
+ "member": {
+ "type": "structure",
+ "required": [
+ "ProcessingJobName",
+ "ProcessingJobArn",
+ "CreationTime",
+ "ProcessingJobStatus"
+ ],
+ "members": {
+ "ProcessingJobName": {},
+ "ProcessingJobArn": {},
+ "CreationTime": {
+ "type": "timestamp"
+ },
+ "ProcessingEndTime": {
+ "type": "timestamp"
+ },
+ "LastModifiedTime": {
+ "type": "timestamp"
+ },
+ "ProcessingJobStatus": {},
+ "FailureReason": {},
+ "ExitMessage": {}
+ }
+ }
+ },
+ "NextToken": {}
+ }
+ }
+ },
"ListSubscribedWorkteams": {
"input": {
"type": "structure",
@@ -2210,7 +3814,7 @@
"SubscribedWorkteams": {
"type": "list",
"member": {
- "shape": "S9n"
+ "shape": "Sgw"
}
},
"NextToken": {}
@@ -2329,7 +3933,7 @@
"TrainingJobSummaries": {
"type": "list",
"member": {
- "shape": "S8u"
+ "shape": "Sfw"
}
},
"NextToken": {}
@@ -2399,178 +4003,395 @@
}
}
},
- "ListWorkteams": {
+ "ListTrialComponents": {
"input": {
"type": "structure",
"members": {
+ "SourceArn": {},
+ "CreatedAfter": {
+ "type": "timestamp"
+ },
+ "CreatedBefore": {
+ "type": "timestamp"
+ },
"SortBy": {},
"SortOrder": {},
- "NameContains": {},
- "NextToken": {},
"MaxResults": {
"type": "integer"
- }
+ },
+ "NextToken": {}
}
},
"output": {
"type": "structure",
- "required": [
- "Workteams"
- ],
"members": {
- "Workteams": {
+ "TrialComponentSummaries": {
"type": "list",
"member": {
- "shape": "Sa4"
+ "type": "structure",
+ "members": {
+ "TrialComponentName": {},
+ "TrialComponentArn": {},
+ "DisplayName": {},
+ "TrialComponentSource": {
+ "shape": "Shl"
+ },
+ "Status": {
+ "shape": "Sc2"
+ },
+ "StartTime": {
+ "type": "timestamp"
+ },
+ "EndTime": {
+ "type": "timestamp"
+ },
+ "CreationTime": {
+ "type": "timestamp"
+ },
+ "CreatedBy": {
+ "shape": "Sfg"
+ },
+ "LastModifiedTime": {
+ "type": "timestamp"
+ },
+ "LastModifiedBy": {
+ "shape": "Sfg"
+ }
+ }
}
},
"NextToken": {}
}
}
},
- "RenderUiTemplate": {
+ "ListTrials": {
"input": {
"type": "structure",
- "required": [
- "UiTemplate",
- "Task",
- "RoleArn"
- ],
"members": {
- "UiTemplate": {
- "type": "structure",
- "required": [
- "Content"
- ],
- "members": {
- "Content": {}
- }
+ "ExperimentName": {},
+ "CreatedAfter": {
+ "type": "timestamp"
},
- "Task": {
- "type": "structure",
- "required": [
- "Input"
- ],
- "members": {
- "Input": {}
- }
+ "CreatedBefore": {
+ "type": "timestamp"
},
- "RoleArn": {}
+ "SortBy": {},
+ "SortOrder": {},
+ "MaxResults": {
+ "type": "integer"
+ },
+ "NextToken": {}
}
},
"output": {
"type": "structure",
- "required": [
- "RenderedContent",
- "Errors"
- ],
"members": {
- "RenderedContent": {},
- "Errors": {
+ "TrialSummaries": {
"type": "list",
"member": {
"type": "structure",
- "required": [
- "Code",
- "Message"
- ],
"members": {
- "Code": {},
- "Message": {}
+ "TrialArn": {},
+ "TrialName": {},
+ "DisplayName": {},
+ "TrialSource": {
+ "shape": "Shh"
+ },
+ "CreationTime": {
+ "type": "timestamp"
+ },
+ "LastModifiedTime": {
+ "type": "timestamp"
+ }
}
}
- }
+ },
+ "NextToken": {}
}
}
},
- "Search": {
+ "ListUserProfiles": {
"input": {
"type": "structure",
- "required": [
- "Resource"
- ],
"members": {
- "Resource": {},
- "SearchExpression": {
- "shape": "Sdh"
- },
- "SortBy": {},
- "SortOrder": {},
"NextToken": {},
"MaxResults": {
"type": "integer"
- }
+ },
+ "SortOrder": {},
+ "SortBy": {},
+ "DomainIdEquals": {},
+ "UserProfileNameContains": {}
}
},
"output": {
"type": "structure",
"members": {
- "Results": {
+ "UserProfiles": {
"type": "list",
"member": {
"type": "structure",
"members": {
- "TrainingJob": {
- "type": "structure",
- "members": {
- "TrainingJobName": {},
- "TrainingJobArn": {},
- "TuningJobArn": {},
- "LabelingJobArn": {},
- "ModelArtifacts": {
- "shape": "S8d"
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- "TrainingJobStatus": {},
- "SecondaryStatus": {},
- "FailureReason": {},
- "HyperParameters": {
- "shape": "S1o"
- },
- "AlgorithmSpecification": {
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- "RoleArn": {},
- "InputDataConfig": {
- "shape": "S1q"
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- "OutputDataConfig": {
- "shape": "S27"
- },
- "ResourceConfig": {
- "shape": "S29"
- },
- "VpcConfig": {
- "shape": "S4c"
- },
- "StoppingCondition": {
- "shape": "S2c"
+ "DomainId": {},
+ "UserProfileName": {},
+ "Status": {},
+ "CreationTime": {
+ "type": "timestamp"
+ },
+ "LastModifiedTime": {
+ "type": "timestamp"
+ }
+ }
+ }
+ },
+ "NextToken": {}
+ }
+ }
+ },
+ "ListWorkteams": {
+ "input": {
+ "type": "structure",
+ "members": {
+ "SortBy": {},
+ "SortOrder": {},
+ "NameContains": {},
+ "NextToken": {},
+ "MaxResults": {
+ "type": "integer"
+ }
+ }
+ },
+ "output": {
+ "type": "structure",
+ "required": [
+ "Workteams"
+ ],
+ "members": {
+ "Workteams": {
+ "type": "list",
+ "member": {
+ "shape": "Shx"
+ }
+ },
+ "NextToken": {}
+ }
+ }
+ },
+ "RenderUiTemplate": {
+ "input": {
+ "type": "structure",
+ "required": [
+ "UiTemplate",
+ "Task",
+ "RoleArn"
+ ],
+ "members": {
+ "UiTemplate": {
+ "shape": "S6i"
+ },
+ "Task": {
+ "type": "structure",
+ "required": [
+ "Input"
+ ],
+ "members": {
+ "Input": {}
+ }
+ },
+ "RoleArn": {}
+ }
+ },
+ "output": {
+ "type": "structure",
+ "required": [
+ "RenderedContent",
+ "Errors"
+ ],
+ "members": {
+ "RenderedContent": {},
+ "Errors": {
+ "type": "list",
+ "member": {
+ "type": "structure",
+ "required": [
+ "Code",
+ "Message"
+ ],
+ "members": {
+ "Code": {},
+ "Message": {}
+ }
+ }
+ }
+ }
+ }
+ },
+ "Search": {
+ "input": {
+ "type": "structure",
+ "required": [
+ "Resource"
+ ],
+ "members": {
+ "Resource": {},
+ "SearchExpression": {
+ "shape": "Sn0"
+ },
+ "SortBy": {},
+ "SortOrder": {},
+ "NextToken": {},
+ "MaxResults": {
+ "type": "integer"
+ }
+ }
+ },
+ "output": {
+ "type": "structure",
+ "members": {
+ "Results": {
+ "type": "list",
+ "member": {
+ "type": "structure",
+ "members": {
+ "TrainingJob": {
+ "shape": "Snd"
+ },
+ "Experiment": {
+ "type": "structure",
+ "members": {
+ "ExperimentName": {},
+ "ExperimentArn": {},
+ "DisplayName": {},
+ "Source": {
+ "shape": "Sfd"
+ },
+ "Description": {},
+ "CreationTime": {
+ "type": "timestamp"
+ },
+ "CreatedBy": {
+ "shape": "Sfg"
+ },
+ "LastModifiedTime": {
+ "type": "timestamp"
+ },
+ "LastModifiedBy": {
+ "shape": "Sfg"
+ },
+ "Tags": {
+ "shape": "S3"
+ }
+ }
+ },
+ "Trial": {
+ "type": "structure",
+ "members": {
+ "TrialName": {},
+ "TrialArn": {},
+ "DisplayName": {},
+ "ExperimentName": {},
+ "Source": {
+ "shape": "Shh"
},
"CreationTime": {
"type": "timestamp"
},
- "TrainingStartTime": {
+ "CreatedBy": {
+ "shape": "Sfg"
+ },
+ "LastModifiedTime": {
+ "type": "timestamp"
+ },
+ "LastModifiedBy": {
+ "shape": "Sfg"
+ },
+ "Tags": {
+ "shape": "S3"
+ },
+ "TrialComponentSummaries": {
+ "type": "list",
+ "member": {
+ "type": "structure",
+ "members": {
+ "TrialComponentName": {},
+ "TrialComponentArn": {},
+ "TrialComponentSource": {
+ "shape": "Shl"
+ },
+ "CreationTime": {
+ "type": "timestamp"
+ },
+ "CreatedBy": {
+ "shape": "Sfg"
+ }
+ }
+ }
+ }
+ }
+ },
+ "TrialComponent": {
+ "type": "structure",
+ "members": {
+ "TrialComponentName": {},
+ "DisplayName": {},
+ "TrialComponentArn": {},
+ "Source": {
+ "shape": "Shl"
+ },
+ "Status": {
+ "shape": "Sc2"
+ },
+ "StartTime": {
+ "type": "timestamp"
+ },
+ "EndTime": {
"type": "timestamp"
},
- "TrainingEndTime": {
+ "CreationTime": {
"type": "timestamp"
},
+ "CreatedBy": {
+ "shape": "Sfg"
+ },
"LastModifiedTime": {
"type": "timestamp"
},
- "SecondaryStatusTransitions": {
- "shape": "S9r"
+ "LastModifiedBy": {
+ "shape": "Sfg"
+ },
+ "Parameters": {
+ "shape": "Sc6"
},
- "FinalMetricDataList": {
- "shape": "S9u"
+ "InputArtifacts": {
+ "shape": "Scb"
},
- "EnableNetworkIsolation": {
- "type": "boolean"
+ "OutputArtifacts": {
+ "shape": "Scb"
},
- "EnableInterContainerTrafficEncryption": {
- "type": "boolean"
+ "Metrics": {
+ "shape": "Shn"
+ },
+ "SourceDetail": {
+ "type": "structure",
+ "members": {
+ "SourceArn": {},
+ "TrainingJob": {
+ "shape": "Snd"
+ }
+ }
},
"Tags": {
"shape": "S3"
+ },
+ "Parents": {
+ "type": "list",
+ "member": {
+ "type": "structure",
+ "members": {
+ "TrialName": {},
+ "ExperimentName": {}
+ }
+ }
}
}
}
@@ -2581,6 +4402,17 @@
}
}
},
+ "StartMonitoringSchedule": {
+ "input": {
+ "type": "structure",
+ "required": [
+ "MonitoringScheduleName"
+ ],
+ "members": {
+ "MonitoringScheduleName": {}
+ }
+ }
+ },
"StartNotebookInstance": {
"input": {
"type": "structure",
@@ -2592,6 +4424,17 @@
}
}
},
+ "StopAutoMLJob": {
+ "input": {
+ "type": "structure",
+ "required": [
+ "AutoMLJobName"
+ ],
+ "members": {
+ "AutoMLJobName": {}
+ }
+ }
+ },
"StopCompilationJob": {
"input": {
"type": "structure",
@@ -2625,6 +4468,17 @@
}
}
},
+ "StopMonitoringSchedule": {
+ "input": {
+ "type": "structure",
+ "required": [
+ "MonitoringScheduleName"
+ ],
+ "members": {
+ "MonitoringScheduleName": {}
+ }
+ }
+ },
"StopNotebookInstance": {
"input": {
"type": "structure",
@@ -2636,6 +4490,17 @@
}
}
},
+ "StopProcessingJob": {
+ "input": {
+ "type": "structure",
+ "required": [
+ "ProcessingJobName"
+ ],
+ "members": {
+ "ProcessingJobName": {}
+ }
+ }
+ },
"StopTrainingJob": {
"input": {
"type": "structure",
@@ -2684,6 +4549,26 @@
}
}
},
+ "UpdateDomain": {
+ "input": {
+ "type": "structure",
+ "required": [
+ "DomainId"
+ ],
+ "members": {
+ "DomainId": {},
+ "DefaultUserSettings": {
+ "shape": "S4l"
+ }
+ }
+ },
+ "output": {
+ "type": "structure",
+ "members": {
+ "DomainArn": {}
+ }
+ }
+ },
"UpdateEndpoint": {
"input": {
"type": "structure",
@@ -2745,6 +4630,49 @@
}
}
},
+ "UpdateExperiment": {
+ "input": {
+ "type": "structure",
+ "required": [
+ "ExperimentName"
+ ],
+ "members": {
+ "ExperimentName": {},
+ "DisplayName": {},
+ "Description": {}
+ }
+ },
+ "output": {
+ "type": "structure",
+ "members": {
+ "ExperimentArn": {}
+ }
+ }
+ },
+ "UpdateMonitoringSchedule": {
+ "input": {
+ "type": "structure",
+ "required": [
+ "MonitoringScheduleName",
+ "MonitoringScheduleConfig"
+ ],
+ "members": {
+ "MonitoringScheduleName": {},
+ "MonitoringScheduleConfig": {
+ "shape": "S8u"
+ }
+ }
+ },
+ "output": {
+ "type": "structure",
+ "required": [
+ "MonitoringScheduleArn"
+ ],
+ "members": {
+ "MonitoringScheduleArn": {}
+ }
+ }
+ },
"UpdateNotebookInstance": {
"input": {
"type": "structure",
@@ -2764,10 +4692,10 @@
},
"DefaultCodeRepository": {},
"AdditionalCodeRepositories": {
- "shape": "S6g"
+ "shape": "Sa5"
},
"AcceleratorTypes": {
- "shape": "S6d"
+ "shape": "Sa2"
},
"DisassociateAcceleratorTypes": {
"type": "boolean"
@@ -2795,10 +4723,10 @@
"members": {
"NotebookInstanceLifecycleConfigName": {},
"OnCreate": {
- "shape": "S6l"
+ "shape": "Saa"
},
"OnStart": {
- "shape": "S6l"
+ "shape": "Saa"
}
}
},
@@ -2807,39 +4735,124 @@
"members": {}
}
},
- "UpdateWorkteam": {
+ "UpdateTrial": {
"input": {
"type": "structure",
"required": [
- "WorkteamName"
+ "TrialName"
],
"members": {
- "WorkteamName": {},
- "MemberDefinitions": {
- "shape": "S78"
- },
- "Description": {},
- "NotificationConfiguration": {
- "shape": "S7f"
- }
+ "TrialName": {},
+ "DisplayName": {}
}
},
"output": {
"type": "structure",
- "required": [
- "Workteam"
- ],
"members": {
- "Workteam": {
- "shape": "Sa4"
- }
+ "TrialArn": {}
}
}
- }
- },
- "shapes": {
- "S3": {
- "type": "list",
+ },
+ "UpdateTrialComponent": {
+ "input": {
+ "type": "structure",
+ "required": [
+ "TrialComponentName"
+ ],
+ "members": {
+ "TrialComponentName": {},
+ "DisplayName": {},
+ "Status": {
+ "shape": "Sc2"
+ },
+ "StartTime": {
+ "type": "timestamp"
+ },
+ "EndTime": {
+ "type": "timestamp"
+ },
+ "Parameters": {
+ "shape": "Sc6"
+ },
+ "ParametersToRemove": {
+ "shape": "Son"
+ },
+ "InputArtifacts": {
+ "shape": "Scb"
+ },
+ "InputArtifactsToRemove": {
+ "shape": "Son"
+ },
+ "OutputArtifacts": {
+ "shape": "Scb"
+ },
+ "OutputArtifactsToRemove": {
+ "shape": "Son"
+ }
+ }
+ },
+ "output": {
+ "type": "structure",
+ "members": {
+ "TrialComponentArn": {}
+ }
+ }
+ },
+ "UpdateUserProfile": {
+ "input": {
+ "type": "structure",
+ "required": [
+ "DomainId",
+ "UserProfileName"
+ ],
+ "members": {
+ "DomainId": {},
+ "UserProfileName": {},
+ "UserSettings": {
+ "shape": "S4l"
+ }
+ }
+ },
+ "output": {
+ "type": "structure",
+ "members": {
+ "UserProfileArn": {}
+ }
+ }
+ },
+ "UpdateWorkteam": {
+ "input": {
+ "type": "structure",
+ "required": [
+ "WorkteamName"
+ ],
+ "members": {
+ "WorkteamName": {},
+ "MemberDefinitions": {
+ "shape": "Sco"
+ },
+ "Description": {},
+ "NotificationConfiguration": {
+ "shape": "Scv"
+ }
+ }
+ },
+ "output": {
+ "type": "structure",
+ "required": [
+ "Workteam"
+ ],
+ "members": {
+ "Workteam": {
+ "shape": "Shx"
+ }
+ }
+ }
+ }
+ },
+ "shapes": {
+ "S3": {
+ "type": "list",
"member": {
"type": "structure",
"required": [
@@ -2852,7 +4865,7 @@
}
}
},
- "Sb": {
+ "Sg": {
"type": "structure",
"required": [
"TrainingImage",
@@ -2906,7 +4919,7 @@
],
"members": {
"Values": {
- "shape": "Sn"
+ "shape": "Ss"
}
}
}
@@ -2930,7 +4943,7 @@
"type": "boolean"
},
"MetricDefinitions": {
- "shape": "Sr"
+ "shape": "Sw"
},
"TrainingChannels": {
"type": "list",
@@ -2948,7 +4961,7 @@
"type": "boolean"
},
"SupportedContentTypes": {
- "shape": "Sy"
+ "shape": "S13"
},
"SupportedCompressionTypes": {
"type": "list",
@@ -2964,16 +4977,16 @@
"SupportedTuningJobObjectiveMetrics": {
"type": "list",
"member": {
- "shape": "S15"
+ "shape": "S1a"
}
}
}
},
- "Sn": {
+ "Ss": {
"type": "list",
"member": {}
},
- "Sr": {
+ "Sw": {
"type": "list",
"member": {
"type": "structure",
@@ -2987,11 +5000,11 @@
}
}
},
- "Sy": {
+ "S13": {
"type": "list",
"member": {}
},
- "S15": {
+ "S1a": {
"type": "structure",
"required": [
"Type",
@@ -3002,7 +5015,7 @@
"MetricName": {}
}
},
- "S17": {
+ "S1c": {
"type": "structure",
"required": [
"Containers",
@@ -3037,7 +5050,7 @@
"member": {}
},
"SupportedContentTypes": {
- "shape": "Sy"
+ "shape": "S13"
},
"SupportedResponseMIMETypes": {
"type": "list",
@@ -3045,7 +5058,7 @@
}
}
},
- "S1j": {
+ "S1o": {
"type": "structure",
"required": [
"ValidationRole",
@@ -3075,36 +5088,36 @@
"members": {
"TrainingInputMode": {},
"HyperParameters": {
- "shape": "S1o"
+ "shape": "S1t"
},
"InputDataConfig": {
- "shape": "S1q"
+ "shape": "S1v"
},
"OutputDataConfig": {
- "shape": "S27"
+ "shape": "S2c"
},
"ResourceConfig": {
- "shape": "S29"
+ "shape": "S2e"
},
"StoppingCondition": {
- "shape": "S2c"
+ "shape": "S2h"
}
}
},
"TransformJobDefinition": {
- "shape": "S2f"
+ "shape": "S2k"
}
}
}
}
}
},
- "S1o": {
+ "S1t": {
"type": "map",
"key": {},
"value": {}
},
- "S1q": {
+ "S1v": {
"type": "list",
"member": {
"type": "structure",
@@ -3168,7 +5181,7 @@
}
}
},
- "S27": {
+ "S2c": {
"type": "structure",
"required": [
"S3OutputPath"
@@ -3178,7 +5191,7 @@
"S3OutputPath": {}
}
},
- "S29": {
+ "S2e": {
"type": "structure",
"required": [
"InstanceType",
@@ -3196,7 +5209,7 @@
"VolumeKmsKeyId": {}
}
},
- "S2c": {
+ "S2h": {
"type": "structure",
"members": {
"MaxRuntimeInSeconds": {
@@ -3207,7 +5220,7 @@
}
}
},
- "S2f": {
+ "S2k": {
"type": "structure",
"required": [
"TransformInput",
@@ -3223,25 +5236,25 @@
},
"BatchStrategy": {},
"Environment": {
- "shape": "S2j"
+ "shape": "S2o"
},
"TransformInput": {
- "shape": "S2m"
+ "shape": "S2r"
},
"TransformOutput": {
- "shape": "S2q"
+ "shape": "S2v"
},
"TransformResources": {
- "shape": "S2t"
+ "shape": "S2y"
}
}
},
- "S2j": {
+ "S2o": {
"type": "map",
"key": {},
"value": {}
},
- "S2m": {
+ "S2r": {
"type": "structure",
"required": [
"DataSource"
@@ -3271,7 +5284,7 @@
"SplitType": {}
}
},
- "S2q": {
+ "S2v": {
"type": "structure",
"required": [
"S3OutputPath"
@@ -3283,7 +5296,7 @@
"KmsKeyId": {}
}
},
- "S2t": {
+ "S2y": {
"type": "structure",
"required": [
"InstanceType",
@@ -3297,7 +5310,120 @@
"VolumeKmsKeyId": {}
}
},
- "S2z": {
+ "S38": {
+ "type": "structure",
+ "members": {
+ "EnvironmentArn": {},
+ "InstanceType": {}
+ }
+ },
+ "S3f": {
+ "type": "list",
+ "member": {
+ "type": "structure",
+ "required": [
+ "DataSource",
+ "TargetAttributeName"
+ ],
+ "members": {
+ "DataSource": {
+ "type": "structure",
+ "required": [
+ "S3DataSource"
+ ],
+ "members": {
+ "S3DataSource": {
+ "type": "structure",
+ "required": [
+ "S3DataType",
+ "S3Uri"
+ ],
+ "members": {
+ "S3DataType": {},
+ "S3Uri": {}
+ }
+ }
+ }
+ },
+ "CompressionType": {},
+ "TargetAttributeName": {}
+ }
+ }
+ },
+ "S3l": {
+ "type": "structure",
+ "required": [
+ "S3OutputPath"
+ ],
+ "members": {
+ "KmsKeyId": {},
+ "S3OutputPath": {}
+ }
+ },
+ "S3n": {
+ "type": "structure",
+ "required": [
+ "MetricName"
+ ],
+ "members": {
+ "MetricName": {}
+ }
+ },
+ "S3p": {
+ "type": "structure",
+ "members": {
+ "CompletionCriteria": {
+ "shape": "S3q"
+ },
+ "SecurityConfig": {
+ "type": "structure",
+ "members": {
+ "VolumeKmsKeyId": {},
+ "EnableInterContainerTrafficEncryption": {
+ "type": "boolean"
+ },
+ "VpcConfig": {
+ "shape": "S3v"
+ }
+ }
+ }
+ }
+ },
+ "S3q": {
+ "type": "structure",
+ "members": {
+ "MaxCandidates": {
+ "type": "integer"
+ },
+ "MaxRuntimePerTrainingJobInSeconds": {
+ "type": "integer"
+ },
+ "MaxAutoMLJobRuntimeInSeconds": {
+ "type": "integer"
+ }
+ }
+ },
+ "S3v": {
+ "type": "structure",
+ "required": [
+ "SecurityGroupIds",
+ "Subnets"
+ ],
+ "members": {
+ "SecurityGroupIds": {
+ "type": "list",
+ "member": {}
+ },
+ "Subnets": {
+ "shape": "S3y"
+ }
+ }
+ },
+ "S3y": {
+ "type": "list",
+ "member": {}
+ },
+ "S44": {
"type": "structure",
"required": [
"RepositoryUrl"
@@ -3308,7 +5434,7 @@
"SecretArn": {}
}
},
- "S36": {
+ "S4b": {
"type": "structure",
"required": [
"S3Uri",
@@ -3321,7 +5447,7 @@
"Framework": {}
}
},
- "S39": {
+ "S4e": {
"type": "structure",
"required": [
"S3OutputLocation",
@@ -3332,7 +5458,52 @@
"TargetDevice": {}
}
},
- "S3j": {
+ "S4l": {
+ "type": "structure",
+ "members": {
+ "ExecutionRole": {},
+ "SecurityGroups": {
+ "shape": "S4m"
+ },
+ "SharingSettings": {
+ "type": "structure",
+ "members": {
+ "NotebookOutputOption": {},
+ "S3OutputPath": {},
+ "S3KmsKeyId": {}
+ }
+ },
+ "JupyterServerAppSettings": {
+ "type": "structure",
+ "members": {
+ "DefaultResourceSpec": {
+ "shape": "S38"
+ }
+ }
+ },
+ "KernelGatewayAppSettings": {
+ "type": "structure",
+ "members": {
+ "DefaultResourceSpec": {
+ "shape": "S38"
+ }
+ }
+ },
+ "TensorBoardAppSettings": {
+ "type": "structure",
+ "members": {
+ "DefaultResourceSpec": {
+ "shape": "S38"
+ }
+ }
+ }
+ }
+ },
+ "S4m": {
+ "type": "list",
+ "member": {}
+ },
+ "S52": {
"type": "list",
"member": {
"type": "structure",
@@ -3356,105 +5527,268 @@
}
}
},
- "S3u": {
+ "S59": {
"type": "structure",
"required": [
- "Strategy",
- "ResourceLimits"
+ "InitialSamplingPercentage",
+ "DestinationS3Uri",
+ "CaptureOptions"
],
"members": {
- "Strategy": {},
- "HyperParameterTuningJobObjective": {
- "shape": "S15"
+ "EnableCapture": {
+ "type": "boolean"
},
- "ResourceLimits": {
- "shape": "S3w"
+ "InitialSamplingPercentage": {
+ "type": "integer"
},
- "ParameterRanges": {
+ "DestinationS3Uri": {},
+ "KmsKeyId": {},
+ "CaptureOptions": {
+ "type": "list",
+ "member": {
+ "type": "structure",
+ "required": [
+ "CaptureMode"
+ ],
+ "members": {
+ "CaptureMode": {}
+ }
+ }
+ },
+ "CaptureContentTypeHeader": {
"type": "structure",
"members": {
- "IntegerParameterRanges": {
+ "CsvContentTypes": {
"type": "list",
- "member": {
- "type": "structure",
- "required": [
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- "members": {
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+ "member": {}
},
- "CategoricalParameterRanges": {
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- "Values"
- ],
- "members": {
- "Name": {},
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+ "member": {}
}
}
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}
},
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"type": "structure",
"required": [
- "MaxNumberOfTrainingJobs",
- "MaxParallelTrainingJobs"
+ "HumanLoopRequestSource",
+ "HumanLoopActivationConditionsConfig"
],
"members": {
- "MaxNumberOfTrainingJobs": {
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+ "HumanLoopRequestSource": {
+ "type": "structure",
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+ "members": {
+ "AwsManagedHumanLoopRequestSource": {}
+ }
},
- "MaxParallelTrainingJobs": {
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+ "HumanLoopActivationConditionsConfig": {
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+ "required": [
+ "HumanLoopActivationConditions"
+ ],
+ "members": {
+ "HumanLoopActivationConditions": {
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+ }
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}
}
},
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"required": [
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- "RoleArn",
+ "WorkteamArn",
+ "HumanTaskUiArn",
+ "TaskTitle",
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+ "HumanTaskUiArn": {},
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+ "type": "integer"
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+ "TaskKeywords": {
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+ "PublicWorkforceTaskPrice": {
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+ "S68": {
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+ "Dollars": {
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+ "Cents": {
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+ "TenthFractionsOfACent": {
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+ "KmsKeyId": {}
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+ "required": [
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+ ],
+ "members": {
+ "Content": {}
+ }
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+ "S6n": {
+ "type": "structure",
+ "required": [
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+ "ResourceLimits"
+ ],
+ "members": {
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+ "HyperParameterTuningJobObjective": {
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+ "ResourceLimits": {
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+ "ParameterRanges": {
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+ "TrainingJobEarlyStoppingType": {},
+ "TuningJobCompletionCriteria": {
+ "type": "structure",
+ "required": [
+ "TargetObjectiveMetricValue"
+ ],
+ "members": {
+ "TargetObjectiveMetricValue": {
+ "type": "float"
+ }
+ }
+ }
+ }
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+ "MaxParallelTrainingJobs"
+ ],
+ "members": {
+ "MaxNumberOfTrainingJobs": {
+ "type": "integer"
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+ "MaxParallelTrainingJobs": {
+ "type": "integer"
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+ "S6s": {
+ "type": "structure",
+ "members": {
+ "IntegerParameterRanges": {
+ "type": "list",
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+ "MaxValue"
+ ],
+ "members": {
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+ "MinValue": {},
+ "MaxValue": {},
+ "ScalingType": {}
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+ },
+ "ContinuousParameterRanges": {
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+ "member": {
+ "type": "structure",
+ "required": [
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+ "MinValue",
+ "MaxValue"
+ ],
+ "members": {
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+ "MinValue": {},
+ "MaxValue": {},
+ "ScalingType": {}
+ }
+ }
+ },
+ "CategoricalParameterRanges": {
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+ "member": {
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+ "required": [
+ "Name",
+ "Values"
+ ],
+ "members": {
+ "Name": {},
+ "Values": {
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+ }
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+ },
+ "S73": {
+ "type": "structure",
+ "required": [
+ "AlgorithmSpecification",
+ "RoleArn",
"OutputDataConfig",
"ResourceConfig",
"StoppingCondition"
],
"members": {
+ "DefinitionName": {},
+ "TuningObjective": {
+ "shape": "S1a"
+ },
+ "HyperParameterRanges": {
+ "shape": "S6s"
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"StaticHyperParameters": {
- "shape": "S1o"
+ "shape": "S1t"
},
"AlgorithmSpecification": {
"type": "structure",
@@ -3466,25 +5800,25 @@
"TrainingInputMode": {},
"AlgorithmName": {},
"MetricDefinitions": {
- "shape": "Sr"
+ "shape": "Sw"
}
}
},
"RoleArn": {},
"InputDataConfig": {
- "shape": "S1q"
+ "shape": "S1v"
},
"VpcConfig": {
- "shape": "S4c"
+ "shape": "S3v"
},
"OutputDataConfig": {
- "shape": "S27"
+ "shape": "S2c"
},
"ResourceConfig": {
- "shape": "S29"
+ "shape": "S2e"
},
"StoppingCondition": {
- "shape": "S2c"
+ "shape": "S2h"
},
"EnableNetworkIsolation": {
"type": "boolean"
@@ -3496,28 +5830,11 @@
"type": "boolean"
},
"CheckpointConfig": {
- "shape": "S4h"
- }
- }
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- "S4c": {
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- "SecurityGroupIds",
- "Subnets"
- ],
- "members": {
- "SecurityGroupIds": {
- "type": "list",
- "member": {}
- },
- "Subnets": {
- "type": "list",
- "member": {}
+ "shape": "S78"
}
}
},
- "S4h": {
+ "S78": {
"type": "structure",
"required": [
"S3Uri"
@@ -3527,7 +5844,13 @@
"LocalPath": {}
}
},
- "S4i": {
+ "S79": {
+ "type": "list",
+ "member": {
+ "shape": "S73"
+ }
+ },
+ "S7a": {
"type": "structure",
"required": [
"ParentHyperParameterTuningJobs",
@@ -3546,7 +5869,7 @@
"WarmStartType": {}
}
},
- "S4r": {
+ "S7j": {
"type": "structure",
"required": [
"DataSource"
@@ -3580,7 +5903,7 @@
}
}
},
- "S4x": {
+ "S7p": {
"type": "structure",
"required": [
"S3OutputPath"
@@ -3590,7 +5913,7 @@
"KmsKeyId": {}
}
},
- "S4y": {
+ "S7q": {
"type": "structure",
"members": {
"MaxHumanLabeledObjectCount": {
@@ -3601,7 +5924,7 @@
}
}
},
- "S51": {
+ "S7t": {
"type": "structure",
"required": [
"LabelingJobAlgorithmSpecificationArn"
@@ -3617,7 +5940,7 @@
}
}
},
- "S55": {
+ "S7x": {
"type": "structure",
"required": [
"WorkteamArn",
@@ -3669,27 +5992,11 @@
}
},
"PublicWorkforceTaskPrice": {
- "type": "structure",
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- "AmountInUsd": {
- "type": "structure",
- "members": {
- "Dollars": {
- "type": "integer"
- },
- "Cents": {
- "type": "integer"
- },
- "TenthFractionsOfACent": {
- "type": "integer"
- }
- }
- }
- }
+ "shape": "S68"
}
}
},
- "S5q": {
+ "S8c": {
"type": "structure",
"members": {
"ContainerHostname": {},
@@ -3697,20 +6004,23 @@
"Mode": {},
"ModelDataUrl": {},
"Environment": {
- "type": "map",
- "key": {},
- "value": {}
+ "shape": "S8e"
},
"ModelPackageName": {}
}
},
- "S5v": {
+ "S8e": {
+ "type": "map",
+ "key": {},
+ "value": {}
+ },
+ "S8h": {
"type": "list",
"member": {
- "shape": "S5q"
+ "shape": "S8c"
}
},
- "S5y": {
+ "S8k": {
"type": "structure",
"required": [
"ValidationRole",
@@ -3729,70 +6039,445 @@
"members": {
"ProfileName": {},
"TransformJobDefinition": {
- "shape": "S2f"
+ "shape": "S2k"
}
}
}
}
}
},
- "S61": {
+ "S8n": {
+ "type": "structure",
+ "required": [
+ "SourceAlgorithms"
+ ],
+ "members": {
+ "SourceAlgorithms": {
+ "type": "list",
+ "member": {
+ "type": "structure",
+ "required": [
+ "AlgorithmName"
+ ],
+ "members": {
+ "ModelDataUrl": {},
+ "AlgorithmName": {}
+ }
+ }
+ }
+ }
+ },
+ "S8u": {
+ "type": "structure",
+ "required": [
+ "MonitoringJobDefinition"
+ ],
+ "members": {
+ "ScheduleConfig": {
+ "type": "structure",
+ "required": [
+ "ScheduleExpression"
+ ],
+ "members": {
+ "ScheduleExpression": {}
+ }
+ },
+ "MonitoringJobDefinition": {
+ "type": "structure",
+ "required": [
+ "MonitoringInputs",
+ "MonitoringOutputConfig",
+ "MonitoringResources",
+ "MonitoringAppSpecification",
+ "RoleArn"
+ ],
+ "members": {
+ "BaselineConfig": {
+ "type": "structure",
+ "members": {
+ "ConstraintsResource": {
+ "type": "structure",
+ "members": {
+ "S3Uri": {}
+ }
+ },
+ "StatisticsResource": {
+ "type": "structure",
+ "members": {
+ "S3Uri": {}
+ }
+ }
+ }
+ },
+ "MonitoringInputs": {
+ "type": "list",
+ "member": {
+ "type": "structure",
+ "required": [
+ "EndpointInput"
+ ],
+ "members": {
+ "EndpointInput": {
+ "type": "structure",
+ "required": [
+ "EndpointName",
+ "LocalPath"
+ ],
+ "members": {
+ "EndpointName": {},
+ "LocalPath": {},
+ "S3InputMode": {},
+ "S3DataDistributionType": {}
+ }
+ }
+ }
+ }
+ },
+ "MonitoringOutputConfig": {
+ "type": "structure",
+ "required": [
+ "MonitoringOutputs"
+ ],
+ "members": {
+ "MonitoringOutputs": {
+ "type": "list",
+ "member": {
+ "type": "structure",
+ "required": [
+ "S3Output"
+ ],
+ "members": {
+ "S3Output": {
+ "type": "structure",
+ "required": [
+ "S3Uri",
+ "LocalPath"
+ ],
+ "members": {
+ "S3Uri": {},
+ "LocalPath": {},
+ "S3UploadMode": {}
+ }
+ }
+ }
+ }
+ },
+ "KmsKeyId": {}
+ }
+ },
+ "MonitoringResources": {
+ "type": "structure",
+ "required": [
+ "ClusterConfig"
+ ],
+ "members": {
+ "ClusterConfig": {
+ "type": "structure",
+ "required": [
+ "InstanceCount",
+ "InstanceType",
+ "VolumeSizeInGB"
+ ],
+ "members": {
+ "InstanceCount": {
+ "type": "integer"
+ },
+ "InstanceType": {},
+ "VolumeSizeInGB": {
+ "type": "integer"
+ },
+ "VolumeKmsKeyId": {}
+ }
+ }
+ }
+ },
+ "MonitoringAppSpecification": {
+ "type": "structure",
+ "required": [
+ "ImageUri"
+ ],
+ "members": {
+ "ImageUri": {},
+ "ContainerEntrypoint": {
+ "shape": "S9k"
+ },
+ "ContainerArguments": {
+ "type": "list",
+ "member": {}
+ },
+ "RecordPreprocessorSourceUri": {},
+ "PostAnalyticsProcessorSourceUri": {}
+ }
+ },
+ "StoppingCondition": {
+ "type": "structure",
+ "required": [
+ "MaxRuntimeInSeconds"
+ ],
+ "members": {
+ "MaxRuntimeInSeconds": {
+ "type": "integer"
+ }
+ }
+ },
+ "Environment": {
+ "type": "map",
+ "key": {},
+ "value": {}
+ },
+ "NetworkConfig": {
+ "shape": "S9t"
+ },
+ "RoleArn": {}
+ }
+ }
+ }
+ },
+ "S9k": {
+ "type": "list",
+ "member": {}
+ },
+ "S9t": {
+ "type": "structure",
+ "members": {
+ "EnableNetworkIsolation": {
+ "type": "boolean"
+ },
+ "VpcConfig": {
+ "shape": "S3v"
+ }
+ }
+ },
+ "Sa2": {
+ "type": "list",
+ "member": {}
+ },
+ "Sa5": {
+ "type": "list",
+ "member": {}
+ },
+ "Saa": {
+ "type": "list",
+ "member": {
+ "type": "structure",
+ "members": {
+ "Content": {}
+ }
+ }
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+ "San": {
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+ "required": [
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+ "S3Input"
+ ],
+ "members": {
+ "InputName": {},
+ "S3Input": {
+ "type": "structure",
+ "required": [
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+ "LocalPath",
+ "S3DataType",
+ "S3InputMode"
+ ],
+ "members": {
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+ "LocalPath": {},
+ "S3DataType": {},
+ "S3InputMode": {},
+ "S3DataDistributionType": {},
+ "S3CompressionType": {}
+ }
+ }
+ }
+ }
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+ "Sat": {
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+ "required": [
+ "Outputs"
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+ "members": {
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+ "S3Output": {
+ "type": "structure",
+ "required": [
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+ "LocalPath",
+ "S3UploadMode"
+ ],
+ "members": {
+ "S3Uri": {},
+ "LocalPath": {},
+ "S3UploadMode": {}
+ }
+ }
+ }
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+ }
+ },
+ "Say": {
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+ "required": [
+ "ClusterConfig"
+ ],
+ "members": {
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+ "type": "structure",
+ "required": [
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+ "InstanceType",
+ "VolumeSizeInGB"
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+ },
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+ "VolumeSizeInGB": {
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+ "VolumeKmsKeyId": {}
+ }
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+ }
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+ "Sb0": {
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+ "required": [
+ "MaxRuntimeInSeconds"
+ ],
+ "members": {
+ "MaxRuntimeInSeconds": {
+ "type": "integer"
+ }
+ }
+ },
+ "Sb2": {
+ "type": "structure",
+ "required": [
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+ ],
+ "members": {
+ "ImageUri": {},
+ "ContainerEntrypoint": {
+ "shape": "S9k"
+ },
+ "ContainerArguments": {
+ "type": "list",
+ "member": {}
+ }
+ }
+ },
+ "Sb4": {
+ "type": "map",
+ "key": {},
+ "value": {}
+ },
+ "Sb5": {
+ "type": "structure",
+ "members": {
+ "ExperimentName": {},
+ "TrialName": {},
+ "TrialComponentDisplayName": {}
+ }
+ },
+ "Sbb": {
+ "type": "structure",
+ "required": [
+ "TrainingInputMode"
+ ],
+ "members": {
+ "TrainingImage": {},
+ "AlgorithmName": {},
+ "TrainingInputMode": {},
+ "MetricDefinitions": {
+ "shape": "Sw"
+ },
+ "EnableSageMakerMetricsTimeSeries": {
+ "type": "boolean"
+ }
+ }
+ },
+ "Sbc": {
"type": "structure",
"required": [
- "SourceAlgorithms"
+ "S3OutputPath"
],
"members": {
- "SourceAlgorithms": {
+ "LocalPath": {},
+ "S3OutputPath": {},
+ "HookParameters": {
+ "type": "map",
+ "key": {},
+ "value": {}
+ },
+ "CollectionConfigurations": {
"type": "list",
"member": {
"type": "structure",
- "required": [
- "AlgorithmName"
- ],
"members": {
- "ModelDataUrl": {},
- "AlgorithmName": {}
+ "CollectionName": {},
+ "CollectionParameters": {
+ "type": "map",
+ "key": {},
+ "value": {}
+ }
}
}
}
}
},
- "S69": {
- "type": "list",
- "member": {}
- },
- "S6d": {
- "type": "list",
- "member": {}
- },
- "S6g": {
- "type": "list",
- "member": {}
- },
- "S6l": {
+ "Sbk": {
"type": "list",
"member": {
"type": "structure",
+ "required": [
+ "RuleConfigurationName",
+ "RuleEvaluatorImage"
+ ],
"members": {
- "Content": {}
+ "RuleConfigurationName": {},
+ "LocalPath": {},
+ "S3OutputPath": {},
+ "RuleEvaluatorImage": {},
+ "InstanceType": {},
+ "VolumeSizeInGB": {
+ "type": "integer"
+ },
+ "RuleParameters": {
+ "type": "map",
+ "key": {},
+ "value": {}
+ }
}
}
},
- "S6w": {
+ "Sbp": {
"type": "structure",
"required": [
- "TrainingInputMode"
+ "S3OutputPath"
],
"members": {
- "TrainingImage": {},
- "AlgorithmName": {},
- "TrainingInputMode": {},
- "MetricDefinitions": {
- "shape": "Sr"
- }
+ "LocalPath": {},
+ "S3OutputPath": {}
}
},
- "S71": {
+ "Sbu": {
"type": "structure",
"members": {
"InputFilter": {},
@@ -3800,7 +6485,41 @@
"JoinSource": {}
}
},
- "S78": {
+ "Sc2": {
+ "type": "structure",
+ "members": {
+ "PrimaryStatus": {},
+ "Message": {}
+ }
+ },
+ "Sc6": {
+ "type": "map",
+ "key": {},
+ "value": {
+ "type": "structure",
+ "members": {
+ "StringValue": {},
+ "NumberValue": {
+ "type": "double"
+ }
+ }
+ }
+ },
+ "Scb": {
+ "type": "map",
+ "key": {},
+ "value": {
+ "type": "structure",
+ "required": [
+ "Value"
+ ],
+ "members": {
+ "MediaType": {},
+ "Value": {}
+ }
+ }
+ },
+ "Sco": {
"type": "list",
"member": {
"type": "structure",
@@ -3821,13 +6540,13 @@
}
}
},
- "S7f": {
+ "Scv": {
"type": "structure",
"members": {
"NotificationTopicArn": {}
}
},
- "S81": {
+ "Sdv": {
"type": "list",
"member": {
"type": "structure",
@@ -3842,7 +6561,80 @@
}
}
},
- "S8d": {
+ "Se5": {
+ "type": "structure",
+ "required": [
+ "CandidateName",
+ "ObjectiveStatus",
+ "CandidateSteps",
+ "CandidateStatus",
+ "CreationTime",
+ "LastModifiedTime"
+ ],
+ "members": {
+ "CandidateName": {},
+ "FinalAutoMLJobObjectiveMetric": {
+ "type": "structure",
+ "required": [
+ "MetricName",
+ "Value"
+ ],
+ "members": {
+ "Type": {},
+ "MetricName": {},
+ "Value": {
+ "type": "float"
+ }
+ }
+ },
+ "ObjectiveStatus": {},
+ "CandidateSteps": {
+ "type": "list",
+ "member": {
+ "type": "structure",
+ "required": [
+ "CandidateStepType",
+ "CandidateStepArn",
+ "CandidateStepName"
+ ],
+ "members": {
+ "CandidateStepType": {},
+ "CandidateStepArn": {},
+ "CandidateStepName": {}
+ }
+ }
+ },
+ "CandidateStatus": {},
+ "InferenceContainers": {
+ "type": "list",
+ "member": {
+ "type": "structure",
+ "required": [
+ "Image",
+ "ModelDataUrl"
+ ],
+ "members": {
+ "Image": {},
+ "ModelDataUrl": {},
+ "Environment": {
+ "shape": "S8e"
+ }
+ }
+ }
+ },
+ "CreationTime": {
+ "type": "timestamp"
+ },
+ "EndTime": {
+ "type": "timestamp"
+ },
+ "LastModifiedTime": {
+ "type": "timestamp"
+ },
+ "FailureReason": {}
+ }
+ },
+ "Sev": {
"type": "structure",
"required": [
"S3ModelArtifacts"
@@ -3851,7 +6643,25 @@
"S3ModelArtifacts": {}
}
},
- "S8q": {
+ "Sfd": {
+ "type": "structure",
+ "required": [
+ "SourceArn"
+ ],
+ "members": {
+ "SourceArn": {},
+ "SourceType": {}
+ }
+ },
+ "Sfg": {
+ "type": "structure",
+ "members": {
+ "UserProfileArn": {},
+ "UserProfileName": {},
+ "DomainId": {}
+ }
+ },
+ "Sfs": {
"type": "structure",
"members": {
"Completed": {
@@ -3871,7 +6681,7 @@
}
}
},
- "S8s": {
+ "Sfu": {
"type": "structure",
"members": {
"Succeeded": {
@@ -3885,7 +6695,7 @@
}
}
},
- "S8u": {
+ "Sfw": {
"type": "structure",
"required": [
"TrainingJobName",
@@ -3895,6 +6705,7 @@
"TunedHyperParameters"
],
"members": {
+ "TrainingJobDefinitionName": {},
"TrainingJobName": {},
"TrainingJobArn": {},
"TuningJobName": {},
@@ -3909,7 +6720,7 @@
},
"TrainingJobStatus": {},
"TunedHyperParameters": {
- "shape": "S1o"
+ "shape": "S1t"
},
"FailureReason": {},
"FinalHyperParameterTuningJobObjectiveMetric": {
@@ -3929,7 +6740,7 @@
"ObjectiveStatus": {}
}
},
- "S92": {
+ "Sg2": {
"type": "structure",
"members": {
"TotalLabeled": {
@@ -3949,7 +6760,7 @@
}
}
},
- "S95": {
+ "Sg5": {
"type": "structure",
"required": [
"OutputDatasetS3Uri"
@@ -3959,7 +6770,7 @@
"FinalActiveLearningModelArn": {}
}
},
- "S9c": {
+ "Sgc": {
"type": "list",
"member": {
"type": "structure",
@@ -3974,7 +6785,33 @@
}
}
},
- "S9n": {
+ "Sgi": {
+ "type": "structure",
+ "required": [
+ "MonitoringScheduleName",
+ "ScheduledTime",
+ "CreationTime",
+ "LastModifiedTime",
+ "MonitoringExecutionStatus"
+ ],
+ "members": {
+ "MonitoringScheduleName": {},
+ "ScheduledTime": {
+ "type": "timestamp"
+ },
+ "CreationTime": {
+ "type": "timestamp"
+ },
+ "LastModifiedTime": {
+ "type": "timestamp"
+ },
+ "MonitoringExecutionStatus": {},
+ "ProcessingJobArn": {},
+ "EndpointName": {},
+ "FailureReason": {}
+ }
+ },
+ "Sgw": {
"type": "structure",
"required": [
"WorkteamArn"
@@ -3987,7 +6824,7 @@
"ListingId": {}
}
},
- "S9r": {
+ "Sh0": {
"type": "list",
"member": {
"type": "structure",
@@ -4007,7 +6844,7 @@
}
}
},
- "S9u": {
+ "Sh3": {
"type": "list",
"member": {
"type": "structure",
@@ -4022,7 +6859,73 @@
}
}
},
- "Sa4": {
+ "Sh8": {
+ "type": "list",
+ "member": {
+ "type": "structure",
+ "members": {
+ "RuleConfigurationName": {},
+ "RuleEvaluationJobArn": {},
+ "RuleEvaluationStatus": {},
+ "StatusDetails": {},
+ "LastModifiedTime": {
+ "type": "timestamp"
+ }
+ }
+ }
+ },
+ "Shh": {
+ "type": "structure",
+ "required": [
+ "SourceArn"
+ ],
+ "members": {
+ "SourceArn": {},
+ "SourceType": {}
+ }
+ },
+ "Shl": {
+ "type": "structure",
+ "required": [
+ "SourceArn"
+ ],
+ "members": {
+ "SourceArn": {},
+ "SourceType": {}
+ }
+ },
+ "Shn": {
+ "type": "list",
+ "member": {
+ "type": "structure",
+ "members": {
+ "MetricName": {},
+ "SourceArn": {},
+ "TimeStamp": {
+ "type": "timestamp"
+ },
+ "Max": {
+ "type": "double"
+ },
+ "Min": {
+ "type": "double"
+ },
+ "Last": {
+ "type": "double"
+ },
+ "Count": {
+ "type": "integer"
+ },
+ "Avg": {
+ "type": "double"
+ },
+ "StdDev": {
+ "type": "double"
+ }
+ }
+ }
+ },
+ "Shx": {
"type": "structure",
"required": [
"WorkteamName",
@@ -4033,7 +6936,7 @@
"members": {
"WorkteamName": {},
"MemberDefinitions": {
- "shape": "S78"
+ "shape": "Sco"
},
"WorkteamArn": {},
"ProductListingIds": {
@@ -4049,15 +6952,15 @@
"type": "timestamp"
},
"NotificationConfiguration": {
- "shape": "S7f"
+ "shape": "Scv"
}
}
},
- "Sdh": {
+ "Sn0": {
"type": "structure",
"members": {
"Filters": {
- "shape": "Sdi"
+ "shape": "Sn1"
},
"NestedFilters": {
"type": "list",
@@ -4070,7 +6973,7 @@
"members": {
"NestedPropertyName": {},
"Filters": {
- "shape": "Sdi"
+ "shape": "Sn1"
}
}
}
@@ -4078,13 +6981,13 @@
"SubExpressions": {
"type": "list",
"member": {
- "shape": "Sdh"
+ "shape": "Sn0"
}
},
"Operator": {}
}
},
- "Sdi": {
+ "Sn1": {
"type": "list",
"member": {
"type": "structure",
@@ -4097,6 +7000,102 @@
"Value": {}
}
}
+ },
+ "Snd": {
+ "type": "structure",
+ "members": {
+ "TrainingJobName": {},
+ "TrainingJobArn": {},
+ "TuningJobArn": {},
+ "LabelingJobArn": {},
+ "AutoMLJobArn": {},
+ "ModelArtifacts": {
+ "shape": "Sev"
+ },
+ "TrainingJobStatus": {},
+ "SecondaryStatus": {},
+ "FailureReason": {},
+ "HyperParameters": {
+ "shape": "S1t"
+ },
+ "AlgorithmSpecification": {
+ "shape": "Sbb"
+ },
+ "RoleArn": {},
+ "InputDataConfig": {
+ "shape": "S1v"
+ },
+ "OutputDataConfig": {
+ "shape": "S2c"
+ },
+ "ResourceConfig": {
+ "shape": "S2e"
+ },
+ "VpcConfig": {
+ "shape": "S3v"
+ },
+ "StoppingCondition": {
+ "shape": "S2h"
+ },
+ "CreationTime": {
+ "type": "timestamp"
+ },
+ "TrainingStartTime": {
+ "type": "timestamp"
+ },
+ "TrainingEndTime": {
+ "type": "timestamp"
+ },
+ "LastModifiedTime": {
+ "type": "timestamp"
+ },
+ "SecondaryStatusTransitions": {
+ "shape": "Sh0"
+ },
+ "FinalMetricDataList": {
+ "shape": "Sh3"
+ },
+ "EnableNetworkIsolation": {
+ "type": "boolean"
+ },
+ "EnableInterContainerTrafficEncryption": {
+ "type": "boolean"
+ },
+ "EnableManagedSpotTraining": {
+ "type": "boolean"
+ },
+ "CheckpointConfig": {
+ "shape": "S78"
+ },
+ "TrainingTimeInSeconds": {
+ "type": "integer"
+ },
+ "BillableTimeInSeconds": {
+ "type": "integer"
+ },
+ "DebugHookConfig": {
+ "shape": "Sbc"
+ },
+ "ExperimentConfig": {
+ "shape": "Sb5"
+ },
+ "DebugRuleConfigurations": {
+ "shape": "Sbk"
+ },
+ "TensorBoardOutputConfig": {
+ "shape": "Sbp"
+ },
+ "DebugRuleEvaluationStatuses": {
+ "shape": "Sh8"
+ },
+ "Tags": {
+ "shape": "S3"
+ }
+ }
+ },
+ "Son": {
+ "type": "list",
+ "member": {}
}
}
}
\ No newline at end of file
diff --git a/apis/sagemaker-2017-07-24.normal.json b/apis/sagemaker-2017-07-24.normal.json
index c1a9dc186e..ad7a48e3a2 100644
--- a/apis/sagemaker-2017-07-24.normal.json
+++ b/apis/sagemaker-2017-07-24.normal.json
@@ -28,6 +28,28 @@
},
"documentation": "Adds or overwrites one or more tags for the specified Amazon SageMaker resource. You can add tags to notebook instances, training jobs, hyperparameter tuning jobs, batch transform jobs, models, labeling jobs, work teams, endpoint configurations, and endpoints.
Each tag consists of a key and an optional value. Tag keys must be unique per resource. For more information about tags, see For more information, see AWS Tagging Strategies.
Tags that you add to a hyperparameter tuning job by calling this API are also added to any training jobs that the hyperparameter tuning job launches after you call this API, but not to training jobs that the hyperparameter tuning job launched before you called this API. To make sure that the tags associated with a hyperparameter tuning job are also added to all training jobs that the hyperparameter tuning job launches, add the tags when you first create the tuning job by specifying them in the Tags
parameter of CreateHyperParameterTuningJob
"
},
+ "AssociateTrialComponent": {
+ "name": "AssociateTrialComponent",
+ "http": {
+ "method": "POST",
+ "requestUri": "/"
+ },
+ "input": {
+ "shape": "AssociateTrialComponentRequest"
+ },
+ "output": {
+ "shape": "AssociateTrialComponentResponse"
+ },
+ "errors": [
+ {
+ "shape": "ResourceNotFound"
+ },
+ {
+ "shape": "ResourceLimitExceeded"
+ }
+ ],
+ "documentation": "Associates a trial component with a trial. A trial component can be associated with multiple trials. To disassociate a trial component from a trial, call the DisassociateTrialComponent API.
"
+ },
"CreateAlgorithm": {
"name": "CreateAlgorithm",
"http": {
@@ -42,6 +64,50 @@
},
"documentation": "Create a machine learning algorithm that you can use in Amazon SageMaker and list in the AWS Marketplace.
"
},
+ "CreateApp": {
+ "name": "CreateApp",
+ "http": {
+ "method": "POST",
+ "requestUri": "/"
+ },
+ "input": {
+ "shape": "CreateAppRequest"
+ },
+ "output": {
+ "shape": "CreateAppResponse"
+ },
+ "errors": [
+ {
+ "shape": "ResourceLimitExceeded"
+ },
+ {
+ "shape": "ResourceInUse"
+ }
+ ],
+ "documentation": "Creates a running App for the specified UserProfile. Supported Apps are JupyterServer and KernelGateway. This operation is automatically invoked by Amazon SageMaker Amazon SageMaker Studio (Studio) upon access to the associated Studio Domain, and when new kernel configurations are selected by the user. A user may have multiple Apps active simultaneously. Apps will automatically terminate and be deleted when stopped from within Studio, or when the DeleteApp API is manually called. UserProfiles are limited to 5 concurrently running Apps at a time.
"
+ },
+ "CreateAutoMLJob": {
+ "name": "CreateAutoMLJob",
+ "http": {
+ "method": "POST",
+ "requestUri": "/"
+ },
+ "input": {
+ "shape": "CreateAutoMLJobRequest"
+ },
+ "output": {
+ "shape": "CreateAutoMLJobResponse"
+ },
+ "errors": [
+ {
+ "shape": "ResourceInUse"
+ },
+ {
+ "shape": "ResourceLimitExceeded"
+ }
+ ],
+ "documentation": "Creates an AutoPilot job.
"
+ },
"CreateCodeRepository": {
"name": "CreateCodeRepository",
"http": {
@@ -78,6 +144,28 @@
],
"documentation": "Starts a model compilation job. After the model has been compiled, Amazon SageMaker saves the resulting model artifacts to an Amazon Simple Storage Service (Amazon S3) bucket that you specify.
If you choose to host your model using Amazon SageMaker hosting services, you can use the resulting model artifacts as part of the model. You can also use the artifacts with AWS IoT Greengrass. In that case, deploy them as an ML resource.
In the request body, you provide the following:
-
A name for the compilation job
-
Information about the input model artifacts
-
The output location for the compiled model and the device (target) that the model runs on
-
The Amazon Resource Name (ARN) of the IAM role that Amazon SageMaker assumes to perform the model compilation job
You can also provide a Tag
to track the model compilation job's resource use and costs. The response body contains the CompilationJobArn
for the compiled job.
To stop a model compilation job, use StopCompilationJob. To get information about a particular model compilation job, use DescribeCompilationJob. To get information about multiple model compilation jobs, use ListCompilationJobs.
"
},
+ "CreateDomain": {
+ "name": "CreateDomain",
+ "http": {
+ "method": "POST",
+ "requestUri": "/"
+ },
+ "input": {
+ "shape": "CreateDomainRequest"
+ },
+ "output": {
+ "shape": "CreateDomainResponse"
+ },
+ "errors": [
+ {
+ "shape": "ResourceLimitExceeded"
+ },
+ {
+ "shape": "ResourceInUse"
+ }
+ ],
+ "documentation": "Creates a Domain for Amazon SageMaker Amazon SageMaker Studio (Studio), which can be accessed by end-users in a web browser. A Domain has an associated directory, list of authorized users, and a variety of security, application, policies, and Amazon Virtual Private Cloud configurations. An AWS account is limited to one Domain, per region. Users within a domain can share notebook files and other artifacts with each other. When a Domain is created, an Amazon Elastic File System (EFS) is also created for use by all of the users within the Domain. Each user receives a private home directory within the EFS for notebooks, Git repositories, and data files.
"
+ },
"CreateEndpoint": {
"name": "CreateEndpoint",
"http": {
@@ -95,7 +183,7 @@
"shape": "ResourceLimitExceeded"
}
],
- "documentation": "Creates an endpoint using the endpoint configuration specified in the request. Amazon SageMaker uses the endpoint to provision resources and deploy models. You create the endpoint configuration with the CreateEndpointConfig API.
Use this API only for hosting models using Amazon SageMaker hosting services.
You must not delete an EndpointConfig
in use by an endpoint that is live or while the UpdateEndpoint
or CreateEndpoint
operations are being performed on the endpoint. To update an endpoint, you must create a new EndpointConfig
.
The endpoint name must be unique within an AWS Region in your AWS account.
When it receives the request, Amazon SageMaker creates the endpoint, launches the resources (ML compute instances), and deploys the model(s) on them.
When Amazon SageMaker receives the request, it sets the endpoint status to Creating
. After it creates the endpoint, it sets the status to InService
. Amazon SageMaker can then process incoming requests for inferences. To check the status of an endpoint, use the DescribeEndpoint API.
For an example, see Exercise 1: Using the K-Means Algorithm Provided by Amazon SageMaker.
If any of the models hosted at this endpoint get model data from an Amazon S3 location, Amazon SageMaker uses AWS Security Token Service to download model artifacts from the S3 path you provided. AWS STS is activated in your IAM user account by default. If you previously deactivated AWS STS for a region, you need to reactivate AWS STS for that region. For more information, see Activating and Deactivating AWS STS i an AWS Region in the AWS Identity and Access Management User Guide.
"
+ "documentation": "Creates an endpoint using the endpoint configuration specified in the request. Amazon SageMaker uses the endpoint to provision resources and deploy models. You create the endpoint configuration with the CreateEndpointConfig API.
Use this API only for hosting models using Amazon SageMaker hosting services.
You must not delete an EndpointConfig
in use by an endpoint that is live or while the UpdateEndpoint
or CreateEndpoint
operations are being performed on the endpoint. To update an endpoint, you must create a new EndpointConfig
.
The endpoint name must be unique within an AWS Region in your AWS account.
When it receives the request, Amazon SageMaker creates the endpoint, launches the resources (ML compute instances), and deploys the model(s) on them.
When Amazon SageMaker receives the request, it sets the endpoint status to Creating
. After it creates the endpoint, it sets the status to InService
. Amazon SageMaker can then process incoming requests for inferences. To check the status of an endpoint, use the DescribeEndpoint API.
For an example, see Exercise 1: Using the K-Means Algorithm Provided by Amazon SageMaker.
If any of the models hosted at this endpoint get model data from an Amazon S3 location, Amazon SageMaker uses AWS Security Token Service to download model artifacts from the S3 path you provided. AWS STS is activated in your IAM user account by default. If you previously deactivated AWS STS for a region, you need to reactivate AWS STS for that region. For more information, see Activating and Deactivating AWS STS in an AWS Region in the AWS Identity and Access Management User Guide.
"
},
"CreateEndpointConfig": {
"name": "CreateEndpointConfig",
@@ -116,6 +204,69 @@
],
"documentation": "Creates an endpoint configuration that Amazon SageMaker hosting services uses to deploy models. In the configuration, you identify one or more models, created using the CreateModel
API, to deploy and the resources that you want Amazon SageMaker to provision. Then you call the CreateEndpoint API.
Use this API only if you want to use Amazon SageMaker hosting services to deploy models into production.
In the request, you define one or more ProductionVariant
s, each of which identifies a model. Each ProductionVariant
parameter also describes the resources that you want Amazon SageMaker to provision. This includes the number and type of ML compute instances to deploy.
If you are hosting multiple models, you also assign a VariantWeight
to specify how much traffic you want to allocate to each model. For example, suppose that you want to host two models, A and B, and you assign traffic weight 2 for model A and 1 for model B. Amazon SageMaker distributes two-thirds of the traffic to Model A, and one-third to model B.
"
},
+ "CreateExperiment": {
+ "name": "CreateExperiment",
+ "http": {
+ "method": "POST",
+ "requestUri": "/"
+ },
+ "input": {
+ "shape": "CreateExperimentRequest"
+ },
+ "output": {
+ "shape": "CreateExperimentResponse"
+ },
+ "errors": [
+ {
+ "shape": "ResourceLimitExceeded"
+ }
+ ],
+ "documentation": "Creates an Amazon SageMaker experiment. An experiment is a collection of trials that are observed, compared and evaluated as a group. A trial is a set of steps, called trial components, that produce a machine learning model.
The goal of an experiment is to determine the components that produce the best model. Multiple trials are performed, each one isolating and measuring the impact of a change to one or more inputs, while keeping the remaining inputs constant.
When you use Amazon SageMaker Studio or the Amazon SageMaker Python SDK, all experiments, trials, and trial components are automatically tracked, logged, and indexed. When you use the AWS SDK for Python (Boto), you must use the logging APIs provided by the SDK.
You can add tags to experiments, trials, trial components and then use the Search API to search for the tags.
To add a description to an experiment, specify the optional Description
parameter. To add a description later, or to change the description, call the UpdateExperiment API.
To get a list of all your experiments, call the ListExperiments API. To view an experiment's properties, call the DescribeExperiment API. To get a list of all the trials associated with an experiment, call the ListTrials API. To create a trial call the CreateTrial API.
"
+ },
+ "CreateFlowDefinition": {
+ "name": "CreateFlowDefinition",
+ "http": {
+ "method": "POST",
+ "requestUri": "/"
+ },
+ "input": {
+ "shape": "CreateFlowDefinitionRequest"
+ },
+ "output": {
+ "shape": "CreateFlowDefinitionResponse"
+ },
+ "errors": [
+ {
+ "shape": "ResourceLimitExceeded"
+ },
+ {
+ "shape": "ResourceInUse"
+ }
+ ],
+ "documentation": "Creates a flow definition.
"
+ },
+ "CreateHumanTaskUi": {
+ "name": "CreateHumanTaskUi",
+ "http": {
+ "method": "POST",
+ "requestUri": "/"
+ },
+ "input": {
+ "shape": "CreateHumanTaskUiRequest"
+ },
+ "output": {
+ "shape": "CreateHumanTaskUiResponse"
+ },
+ "errors": [
+ {
+ "shape": "ResourceLimitExceeded"
+ },
+ {
+ "shape": "ResourceInUse"
+ }
+ ],
+ "documentation": "Defines the settings you will use for the human review workflow user interface. Reviewers will see a three-panel interface with an instruction area, the item to review, and an input area.
"
+ },
"CreateHyperParameterTuningJob": {
"name": "CreateHyperParameterTuningJob",
"http": {
@@ -193,6 +344,28 @@
},
"documentation": "Creates a model package that you can use to create Amazon SageMaker models or list on AWS Marketplace. Buyers can subscribe to model packages listed on AWS Marketplace to create models in Amazon SageMaker.
To create a model package by specifying a Docker container that contains your inference code and the Amazon S3 location of your model artifacts, provide values for InferenceSpecification
. To create a model from an algorithm resource that you created or subscribed to in AWS Marketplace, provide a value for SourceAlgorithmSpecification
.
"
},
+ "CreateMonitoringSchedule": {
+ "name": "CreateMonitoringSchedule",
+ "http": {
+ "method": "POST",
+ "requestUri": "/"
+ },
+ "input": {
+ "shape": "CreateMonitoringScheduleRequest"
+ },
+ "output": {
+ "shape": "CreateMonitoringScheduleResponse"
+ },
+ "errors": [
+ {
+ "shape": "ResourceLimitExceeded"
+ },
+ {
+ "shape": "ResourceInUse"
+ }
+ ],
+ "documentation": "Creates a schedule that regularly starts Amazon SageMaker Processing Jobs to monitor the data captured for an Amazon SageMaker Endoint.
"
+ },
"CreateNotebookInstance": {
"name": "CreateNotebookInstance",
"http": {
@@ -231,6 +404,20 @@
],
"documentation": "Creates a lifecycle configuration that you can associate with a notebook instance. A lifecycle configuration is a collection of shell scripts that run when you create or start a notebook instance.
Each lifecycle configuration script has a limit of 16384 characters.
The value of the $PATH
environment variable that is available to both scripts is /sbin:bin:/usr/sbin:/usr/bin
.
View CloudWatch Logs for notebook instance lifecycle configurations in log group /aws/sagemaker/NotebookInstances
in log stream [notebook-instance-name]/[LifecycleConfigHook]
.
Lifecycle configuration scripts cannot run for longer than 5 minutes. If a script runs for longer than 5 minutes, it fails and the notebook instance is not created or started.
For information about notebook instance lifestyle configurations, see Step 2.1: (Optional) Customize a Notebook Instance.
"
},
+ "CreatePresignedDomainUrl": {
+ "name": "CreatePresignedDomainUrl",
+ "http": {
+ "method": "POST",
+ "requestUri": "/"
+ },
+ "input": {
+ "shape": "CreatePresignedDomainUrlRequest"
+ },
+ "output": {
+ "shape": "CreatePresignedDomainUrlResponse"
+ },
+ "documentation": "Creates a URL for a specified UserProfile in a Domain. When accessed in a web browser, the user will be automatically signed in to Amazon SageMaker Amazon SageMaker Studio (Studio), and granted access to all of the Apps and files associated with that Amazon Elastic File System (EFS). This operation can only be called when AuthMode equals IAM.
"
+ },
"CreatePresignedNotebookInstanceUrl": {
"name": "CreatePresignedNotebookInstanceUrl",
"http": {
@@ -243,7 +430,32 @@
"output": {
"shape": "CreatePresignedNotebookInstanceUrlOutput"
},
- "documentation": "Returns a URL that you can use to connect to the Jupyter server from a notebook instance. In the Amazon SageMaker console, when you choose Open
next to a notebook instance, Amazon SageMaker opens a new tab showing the Jupyter server home page from the notebook instance. The console uses this API to get the URL and show the page.
IAM authorization policies for this API are also enforced for every HTTP request and WebSocket frame that attempts to connect to the notebook instance.For example, you can restrict access to this API and to the URL that it returns to a list of IP addresses that you specify. Use the NotIpAddress
condition operator and the aws:SourceIP
condition context key to specify the list of IP addresses that you want to have access to the notebook instance. For more information, see Limit Access to a Notebook Instance by IP Address.
The URL that you get from a call to is valid only for 5 minutes. If you try to use the URL after the 5-minute limit expires, you are directed to the AWS console sign-in page.
"
+ "documentation": "Returns a URL that you can use to connect to the Jupyter server from a notebook instance. In the Amazon SageMaker console, when you choose Open
next to a notebook instance, Amazon SageMaker opens a new tab showing the Jupyter server home page from the notebook instance. The console uses this API to get the URL and show the page.
IAM authorization policies for this API are also enforced for every HTTP request and WebSocket frame that attempts to connect to the notebook instance.For example, you can restrict access to this API and to the URL that it returns to a list of IP addresses that you specify. Use the NotIpAddress
condition operator and the aws:SourceIP
condition context key to specify the list of IP addresses that you want to have access to the notebook instance. For more information, see Limit Access to a Notebook Instance by IP Address.
The URL that you get from a call to is valid only for 5 minutes. If you try to use the URL after the 5-minute limit expires, you are directed to the AWS console sign-in page.
"
+ },
+ "CreateProcessingJob": {
+ "name": "CreateProcessingJob",
+ "http": {
+ "method": "POST",
+ "requestUri": "/"
+ },
+ "input": {
+ "shape": "CreateProcessingJobRequest"
+ },
+ "output": {
+ "shape": "CreateProcessingJobResponse"
+ },
+ "errors": [
+ {
+ "shape": "ResourceInUse"
+ },
+ {
+ "shape": "ResourceLimitExceeded"
+ },
+ {
+ "shape": "ResourceNotFound"
+ }
+ ],
+ "documentation": "Creates a processing job.
"
},
"CreateTrainingJob": {
"name": "CreateTrainingJob",
@@ -263,9 +475,12 @@
},
{
"shape": "ResourceLimitExceeded"
+ },
+ {
+ "shape": "ResourceNotFound"
}
],
- "documentation": "Starts a model training job. After training completes, Amazon SageMaker saves the resulting model artifacts to an Amazon S3 location that you specify.
If you choose to host your model using Amazon SageMaker hosting services, you can use the resulting model artifacts as part of the model. You can also use the artifacts in a machine learning service other than Amazon SageMaker, provided that you know how to use them for inferences.
In the request body, you provide the following:
-
AlgorithmSpecification
- Identifies the training algorithm to use.
-
HyperParameters
- Specify these algorithm-specific parameters to enable the estimation of model parameters during training. Hyperparameters can be tuned to optimize this learning process. For a list of hyperparameters for each training algorithm provided by Amazon SageMaker, see Algorithms.
-
InputDataConfig
- Describes the training dataset and the Amazon S3, EFS, or FSx location where it is stored.
-
OutputDataConfig
- Identifies the Amazon S3 bucket where you want Amazon SageMaker to save the results of model training.
-
ResourceConfig
- Identifies the resources, ML compute instances, and ML storage volumes to deploy for model training. In distributed training, you specify more than one instance.
-
EnableManagedSpotTraining
- Optimize the cost of training machine learning models by up to 80% by using Amazon EC2 Spot instances. For more information, see Managed Spot Training.
-
RoleARN
- The Amazon Resource Number (ARN) that Amazon SageMaker assumes to perform tasks on your behalf during model training. You must grant this role the necessary permissions so that Amazon SageMaker can successfully complete model training.
-
StoppingCondition
- To help cap training costs, use MaxRuntimeInSeconds
to set a time limit for training. Use MaxWaitTimeInSeconds
to specify how long you are willing to to wait for a managed spot training job to complete.
For more information about Amazon SageMaker, see How It Works.
"
+ "documentation": "Starts a model training job. After training completes, Amazon SageMaker saves the resulting model artifacts to an Amazon S3 location that you specify.
If you choose to host your model using Amazon SageMaker hosting services, you can use the resulting model artifacts as part of the model. You can also use the artifacts in a machine learning service other than Amazon SageMaker, provided that you know how to use them for inferences.
In the request body, you provide the following:
-
AlgorithmSpecification
- Identifies the training algorithm to use.
-
HyperParameters
- Specify these algorithm-specific parameters to enable the estimation of model parameters during training. Hyperparameters can be tuned to optimize this learning process. For a list of hyperparameters for each training algorithm provided by Amazon SageMaker, see Algorithms.
-
InputDataConfig
- Describes the training dataset and the Amazon S3, EFS, or FSx location where it is stored.
-
OutputDataConfig
- Identifies the Amazon S3 bucket where you want Amazon SageMaker to save the results of model training.
-
ResourceConfig
- Identifies the resources, ML compute instances, and ML storage volumes to deploy for model training. In distributed training, you specify more than one instance.
-
EnableManagedSpotTraining
- Optimize the cost of training machine learning models by up to 80% by using Amazon EC2 Spot instances. For more information, see Managed Spot Training.
-
RoleARN
- The Amazon Resource Number (ARN) that Amazon SageMaker assumes to perform tasks on your behalf during model training. You must grant this role the necessary permissions so that Amazon SageMaker can successfully complete model training.
-
StoppingCondition
- To help cap training costs, use MaxRuntimeInSeconds
to set a time limit for training. Use MaxWaitTimeInSeconds
to specify how long you are willing to wait for a managed spot training job to complete.
For more information about Amazon SageMaker, see How It Works.
"
},
"CreateTransformJob": {
"name": "CreateTransformJob",
@@ -285,10 +500,76 @@
},
{
"shape": "ResourceLimitExceeded"
+ },
+ {
+ "shape": "ResourceNotFound"
}
],
"documentation": "Starts a transform job. A transform job uses a trained model to get inferences on a dataset and saves these results to an Amazon S3 location that you specify.
To perform batch transformations, you create a transform job and use the data that you have readily available.
In the request body, you provide the following:
-
TransformJobName
- Identifies the transform job. The name must be unique within an AWS Region in an AWS account.
-
ModelName
- Identifies the model to use. ModelName
must be the name of an existing Amazon SageMaker model in the same AWS Region and AWS account. For information on creating a model, see CreateModel.
-
TransformInput
- Describes the dataset to be transformed and the Amazon S3 location where it is stored.
-
TransformOutput
- Identifies the Amazon S3 location where you want Amazon SageMaker to save the results from the transform job.
-
TransformResources
- Identifies the ML compute instances for the transform job.
For more information about how batch transformation works, see Batch Transform.
"
},
+ "CreateTrial": {
+ "name": "CreateTrial",
+ "http": {
+ "method": "POST",
+ "requestUri": "/"
+ },
+ "input": {
+ "shape": "CreateTrialRequest"
+ },
+ "output": {
+ "shape": "CreateTrialResponse"
+ },
+ "errors": [
+ {
+ "shape": "ResourceNotFound"
+ },
+ {
+ "shape": "ResourceLimitExceeded"
+ }
+ ],
+ "documentation": "Creates an Amazon SageMaker trial. A trial is a set of steps called trial components that produce a machine learning model. A trial is part of a single Amazon SageMaker experiment.
When you use Amazon SageMaker Studio or the Amazon SageMaker Python SDK, all experiments, trials, and trial components are automatically tracked, logged, and indexed. When you use the AWS SDK for Python (Boto), you must use the logging APIs provided by the SDK.
You can add tags to a trial and then use the Search API to search for the tags.
To get a list of all your trials, call the ListTrials API. To view a trial's properties, call the DescribeTrial API. To create a trial component, call the CreateTrialComponent API.
"
+ },
+ "CreateTrialComponent": {
+ "name": "CreateTrialComponent",
+ "http": {
+ "method": "POST",
+ "requestUri": "/"
+ },
+ "input": {
+ "shape": "CreateTrialComponentRequest"
+ },
+ "output": {
+ "shape": "CreateTrialComponentResponse"
+ },
+ "errors": [
+ {
+ "shape": "ResourceLimitExceeded"
+ }
+ ],
+ "documentation": "Creates a trial component, which is a stage of a machine learning trial. A trial is composed of one or more trial components. A trial component can be used in multiple trials.
Trial components include pre-processing jobs, training jobs, and batch transform jobs.
When you use Amazon SageMaker Studio or the Amazon SageMaker Python SDK, all experiments, trials, and trial components are automatically tracked, logged, and indexed. When you use the AWS SDK for Python (Boto), you must use the logging APIs provided by the SDK.
You can add tags to a trial component and then use the Search API to search for the tags.
You can create a trial component through a direct call to the CreateTrialComponent
API. However, you can't specify the Source
property of the component in the request, therefore, the component isn't associated with an Amazon SageMaker job. You must use Amazon SageMaker Studio, the Amazon SageMaker Python SDK, or the AWS SDK for Python (Boto) to create the component with a valid Source
property.
"
+ },
+ "CreateUserProfile": {
+ "name": "CreateUserProfile",
+ "http": {
+ "method": "POST",
+ "requestUri": "/"
+ },
+ "input": {
+ "shape": "CreateUserProfileRequest"
+ },
+ "output": {
+ "shape": "CreateUserProfileResponse"
+ },
+ "errors": [
+ {
+ "shape": "ResourceLimitExceeded"
+ },
+ {
+ "shape": "ResourceInUse"
+ }
+ ],
+ "documentation": "Creates a new user profile. A user profile represents a single user within a Domain, and is the main way to reference a \"person\" for the purposes of sharing, reporting and other user-oriented features. This entity is created during on-boarding. If an administrator invites a person by email or imports them from SSO, a new UserProfile is automatically created. This entity is the primary holder of settings for an individual user and has a reference to the user's private Amazon Elastic File System (EFS) home directory.
"
+ },
"CreateWorkteam": {
"name": "CreateWorkteam",
"http": {
@@ -322,6 +603,25 @@
},
"documentation": "Removes the specified algorithm from your account.
"
},
+ "DeleteApp": {
+ "name": "DeleteApp",
+ "http": {
+ "method": "POST",
+ "requestUri": "/"
+ },
+ "input": {
+ "shape": "DeleteAppRequest"
+ },
+ "errors": [
+ {
+ "shape": "ResourceInUse"
+ },
+ {
+ "shape": "ResourceNotFound"
+ }
+ ],
+ "documentation": "Used to stop and delete an app.
"
+ },
"DeleteCodeRepository": {
"name": "DeleteCodeRepository",
"http": {
@@ -333,6 +633,25 @@
},
"documentation": "Deletes the specified Git repository from your account.
"
},
+ "DeleteDomain": {
+ "name": "DeleteDomain",
+ "http": {
+ "method": "POST",
+ "requestUri": "/"
+ },
+ "input": {
+ "shape": "DeleteDomainRequest"
+ },
+ "errors": [
+ {
+ "shape": "ResourceInUse"
+ },
+ {
+ "shape": "ResourceNotFound"
+ }
+ ],
+ "documentation": "Used to delete a domain. If you on-boarded with IAM mode, you will need to delete your domain to on-board again using SSO. Use with caution. All of the members of the domain will lose access to their EFS volume, including data, notebooks, and other artifacts.
"
+ },
"DeleteEndpoint": {
"name": "DeleteEndpoint",
"http": {
@@ -355,28 +674,82 @@
},
"documentation": "Deletes an endpoint configuration. The DeleteEndpointConfig
API deletes only the specified configuration. It does not delete endpoints created using the configuration.
"
},
- "DeleteModel": {
- "name": "DeleteModel",
+ "DeleteExperiment": {
+ "name": "DeleteExperiment",
"http": {
"method": "POST",
"requestUri": "/"
},
"input": {
- "shape": "DeleteModelInput"
+ "shape": "DeleteExperimentRequest"
},
- "documentation": "Deletes a model. The DeleteModel
API deletes only the model entry that was created in Amazon SageMaker when you called the CreateModel API. It does not delete model artifacts, inference code, or the IAM role that you specified when creating the model.
"
- },
- "DeleteModelPackage": {
- "name": "DeleteModelPackage",
- "http": {
- "method": "POST",
- "requestUri": "/"
+ "output": {
+ "shape": "DeleteExperimentResponse"
+ },
+ "errors": [
+ {
+ "shape": "ResourceNotFound"
+ }
+ ],
+ "documentation": "Deletes an Amazon SageMaker experiment. All trials associated with the experiment must be deleted first. Use the ListTrials API to get a list of the trials associated with the experiment.
"
+ },
+ "DeleteFlowDefinition": {
+ "name": "DeleteFlowDefinition",
+ "http": {
+ "method": "POST",
+ "requestUri": "/"
+ },
+ "input": {
+ "shape": "DeleteFlowDefinitionRequest"
+ },
+ "output": {
+ "shape": "DeleteFlowDefinitionResponse"
+ },
+ "errors": [
+ {
+ "shape": "ResourceNotFound"
+ }
+ ],
+ "documentation": "Deletes the specified flow definition.
"
+ },
+ "DeleteModel": {
+ "name": "DeleteModel",
+ "http": {
+ "method": "POST",
+ "requestUri": "/"
+ },
+ "input": {
+ "shape": "DeleteModelInput"
+ },
+ "documentation": "Deletes a model. The DeleteModel
API deletes only the model entry that was created in Amazon SageMaker when you called the CreateModel API. It does not delete model artifacts, inference code, or the IAM role that you specified when creating the model.
"
+ },
+ "DeleteModelPackage": {
+ "name": "DeleteModelPackage",
+ "http": {
+ "method": "POST",
+ "requestUri": "/"
},
"input": {
"shape": "DeleteModelPackageInput"
},
"documentation": "Deletes a model package.
A model package is used to create Amazon SageMaker models or list on AWS Marketplace. Buyers can subscribe to model packages listed on AWS Marketplace to create models in Amazon SageMaker.
"
},
+ "DeleteMonitoringSchedule": {
+ "name": "DeleteMonitoringSchedule",
+ "http": {
+ "method": "POST",
+ "requestUri": "/"
+ },
+ "input": {
+ "shape": "DeleteMonitoringScheduleRequest"
+ },
+ "errors": [
+ {
+ "shape": "ResourceNotFound"
+ }
+ ],
+ "documentation": "Deletes a monitoring schedule. Also stops the schedule had not already been stopped. This does not delete the job execution history of the monitoring schedule.
"
+ },
"DeleteNotebookInstance": {
"name": "DeleteNotebookInstance",
"http": {
@@ -413,6 +786,63 @@
},
"documentation": "Deletes the specified tags from an Amazon SageMaker resource.
To list a resource's tags, use the ListTags
API.
When you call this API to delete tags from a hyperparameter tuning job, the deleted tags are not removed from training jobs that the hyperparameter tuning job launched before you called this API.
"
},
+ "DeleteTrial": {
+ "name": "DeleteTrial",
+ "http": {
+ "method": "POST",
+ "requestUri": "/"
+ },
+ "input": {
+ "shape": "DeleteTrialRequest"
+ },
+ "output": {
+ "shape": "DeleteTrialResponse"
+ },
+ "errors": [
+ {
+ "shape": "ResourceNotFound"
+ }
+ ],
+ "documentation": "Deletes the specified trial. All trial components that make up the trial must be deleted first. Use the DescribeTrialComponent API to get the list of trial components.
"
+ },
+ "DeleteTrialComponent": {
+ "name": "DeleteTrialComponent",
+ "http": {
+ "method": "POST",
+ "requestUri": "/"
+ },
+ "input": {
+ "shape": "DeleteTrialComponentRequest"
+ },
+ "output": {
+ "shape": "DeleteTrialComponentResponse"
+ },
+ "errors": [
+ {
+ "shape": "ResourceNotFound"
+ }
+ ],
+ "documentation": "Deletes the specified trial component. A trial component must be disassociated from all trials before the trial component can be deleted. To disassociate a trial component from a trial, call the DisassociateTrialComponent API.
"
+ },
+ "DeleteUserProfile": {
+ "name": "DeleteUserProfile",
+ "http": {
+ "method": "POST",
+ "requestUri": "/"
+ },
+ "input": {
+ "shape": "DeleteUserProfileRequest"
+ },
+ "errors": [
+ {
+ "shape": "ResourceInUse"
+ },
+ {
+ "shape": "ResourceNotFound"
+ }
+ ],
+ "documentation": "Deletes a user profile.
"
+ },
"DeleteWorkteam": {
"name": "DeleteWorkteam",
"http": {
@@ -446,6 +876,44 @@
},
"documentation": "Returns a description of the specified algorithm that is in your account.
"
},
+ "DescribeApp": {
+ "name": "DescribeApp",
+ "http": {
+ "method": "POST",
+ "requestUri": "/"
+ },
+ "input": {
+ "shape": "DescribeAppRequest"
+ },
+ "output": {
+ "shape": "DescribeAppResponse"
+ },
+ "errors": [
+ {
+ "shape": "ResourceNotFound"
+ }
+ ],
+ "documentation": "Describes the app.
"
+ },
+ "DescribeAutoMLJob": {
+ "name": "DescribeAutoMLJob",
+ "http": {
+ "method": "POST",
+ "requestUri": "/"
+ },
+ "input": {
+ "shape": "DescribeAutoMLJobRequest"
+ },
+ "output": {
+ "shape": "DescribeAutoMLJobResponse"
+ },
+ "errors": [
+ {
+ "shape": "ResourceNotFound"
+ }
+ ],
+ "documentation": "Returns information about an Amazon SageMaker job.
"
+ },
"DescribeCodeRepository": {
"name": "DescribeCodeRepository",
"http": {
@@ -479,6 +947,25 @@
],
"documentation": "Returns information about a model compilation job.
To create a model compilation job, use CreateCompilationJob. To get information about multiple model compilation jobs, use ListCompilationJobs.
"
},
+ "DescribeDomain": {
+ "name": "DescribeDomain",
+ "http": {
+ "method": "POST",
+ "requestUri": "/"
+ },
+ "input": {
+ "shape": "DescribeDomainRequest"
+ },
+ "output": {
+ "shape": "DescribeDomainResponse"
+ },
+ "errors": [
+ {
+ "shape": "ResourceNotFound"
+ }
+ ],
+ "documentation": "The desciption of the domain.
"
+ },
"DescribeEndpoint": {
"name": "DescribeEndpoint",
"http": {
@@ -507,6 +994,63 @@
},
"documentation": "Returns the description of an endpoint configuration created using the CreateEndpointConfig
API.
"
},
+ "DescribeExperiment": {
+ "name": "DescribeExperiment",
+ "http": {
+ "method": "POST",
+ "requestUri": "/"
+ },
+ "input": {
+ "shape": "DescribeExperimentRequest"
+ },
+ "output": {
+ "shape": "DescribeExperimentResponse"
+ },
+ "errors": [
+ {
+ "shape": "ResourceNotFound"
+ }
+ ],
+ "documentation": "Provides a list of an experiment's properties.
"
+ },
+ "DescribeFlowDefinition": {
+ "name": "DescribeFlowDefinition",
+ "http": {
+ "method": "POST",
+ "requestUri": "/"
+ },
+ "input": {
+ "shape": "DescribeFlowDefinitionRequest"
+ },
+ "output": {
+ "shape": "DescribeFlowDefinitionResponse"
+ },
+ "errors": [
+ {
+ "shape": "ResourceNotFound"
+ }
+ ],
+ "documentation": "Returns information about the specified flow definition.
"
+ },
+ "DescribeHumanTaskUi": {
+ "name": "DescribeHumanTaskUi",
+ "http": {
+ "method": "POST",
+ "requestUri": "/"
+ },
+ "input": {
+ "shape": "DescribeHumanTaskUiRequest"
+ },
+ "output": {
+ "shape": "DescribeHumanTaskUiResponse"
+ },
+ "errors": [
+ {
+ "shape": "ResourceNotFound"
+ }
+ ],
+ "documentation": "Returns information about the requested human task user interface.
"
+ },
"DescribeHyperParameterTuningJob": {
"name": "DescribeHyperParameterTuningJob",
"http": {
@@ -573,6 +1117,25 @@
},
"documentation": "Returns a description of the specified model package, which is used to create Amazon SageMaker models or list them on AWS Marketplace.
To create models in Amazon SageMaker, buyers can subscribe to model packages listed on AWS Marketplace.
"
},
+ "DescribeMonitoringSchedule": {
+ "name": "DescribeMonitoringSchedule",
+ "http": {
+ "method": "POST",
+ "requestUri": "/"
+ },
+ "input": {
+ "shape": "DescribeMonitoringScheduleRequest"
+ },
+ "output": {
+ "shape": "DescribeMonitoringScheduleResponse"
+ },
+ "errors": [
+ {
+ "shape": "ResourceNotFound"
+ }
+ ],
+ "documentation": "Describes the schedule for a monitoring job.
"
+ },
"DescribeNotebookInstance": {
"name": "DescribeNotebookInstance",
"http": {
@@ -601,6 +1164,25 @@
},
"documentation": "Returns a description of a notebook instance lifecycle configuration.
For information about notebook instance lifestyle configurations, see Step 2.1: (Optional) Customize a Notebook Instance.
"
},
+ "DescribeProcessingJob": {
+ "name": "DescribeProcessingJob",
+ "http": {
+ "method": "POST",
+ "requestUri": "/"
+ },
+ "input": {
+ "shape": "DescribeProcessingJobRequest"
+ },
+ "output": {
+ "shape": "DescribeProcessingJobResponse"
+ },
+ "errors": [
+ {
+ "shape": "ResourceNotFound"
+ }
+ ],
+ "documentation": "Returns a description of a processing job.
"
+ },
"DescribeSubscribedWorkteam": {
"name": "DescribeSubscribedWorkteam",
"http": {
@@ -653,77 +1235,214 @@
],
"documentation": "Returns information about a transform job.
"
},
- "DescribeWorkteam": {
- "name": "DescribeWorkteam",
+ "DescribeTrial": {
+ "name": "DescribeTrial",
"http": {
"method": "POST",
"requestUri": "/"
},
"input": {
- "shape": "DescribeWorkteamRequest"
+ "shape": "DescribeTrialRequest"
},
"output": {
- "shape": "DescribeWorkteamResponse"
+ "shape": "DescribeTrialResponse"
},
- "documentation": "Gets information about a specific work team. You can see information such as the create date, the last updated date, membership information, and the work team's Amazon Resource Name (ARN).
"
+ "errors": [
+ {
+ "shape": "ResourceNotFound"
+ }
+ ],
+ "documentation": "Provides a list of a trial's properties.
"
},
- "GetSearchSuggestions": {
- "name": "GetSearchSuggestions",
+ "DescribeTrialComponent": {
+ "name": "DescribeTrialComponent",
"http": {
"method": "POST",
"requestUri": "/"
},
"input": {
- "shape": "GetSearchSuggestionsRequest"
+ "shape": "DescribeTrialComponentRequest"
},
"output": {
- "shape": "GetSearchSuggestionsResponse"
+ "shape": "DescribeTrialComponentResponse"
},
- "documentation": "An auto-complete API for the search functionality in the Amazon SageMaker console. It returns suggestions of possible matches for the property name to use in Search
queries. Provides suggestions for HyperParameters
, Tags
, and Metrics
.
"
+ "errors": [
+ {
+ "shape": "ResourceNotFound"
+ }
+ ],
+ "documentation": "Provides a list of a trials component's properties.
"
},
- "ListAlgorithms": {
- "name": "ListAlgorithms",
+ "DescribeUserProfile": {
+ "name": "DescribeUserProfile",
"http": {
"method": "POST",
"requestUri": "/"
},
"input": {
- "shape": "ListAlgorithmsInput"
+ "shape": "DescribeUserProfileRequest"
},
"output": {
- "shape": "ListAlgorithmsOutput"
+ "shape": "DescribeUserProfileResponse"
},
- "documentation": "Lists the machine learning algorithms that have been created.
"
+ "errors": [
+ {
+ "shape": "ResourceNotFound"
+ }
+ ],
+ "documentation": "Describes the user profile.
"
},
- "ListCodeRepositories": {
- "name": "ListCodeRepositories",
+ "DescribeWorkteam": {
+ "name": "DescribeWorkteam",
"http": {
"method": "POST",
"requestUri": "/"
},
"input": {
- "shape": "ListCodeRepositoriesInput"
+ "shape": "DescribeWorkteamRequest"
},
"output": {
- "shape": "ListCodeRepositoriesOutput"
+ "shape": "DescribeWorkteamResponse"
},
- "documentation": "Gets a list of the Git repositories in your account.
"
+ "documentation": "Gets information about a specific work team. You can see information such as the create date, the last updated date, membership information, and the work team's Amazon Resource Name (ARN).
"
},
- "ListCompilationJobs": {
- "name": "ListCompilationJobs",
+ "DisassociateTrialComponent": {
+ "name": "DisassociateTrialComponent",
"http": {
"method": "POST",
"requestUri": "/"
},
"input": {
- "shape": "ListCompilationJobsRequest"
+ "shape": "DisassociateTrialComponentRequest"
},
"output": {
- "shape": "ListCompilationJobsResponse"
+ "shape": "DisassociateTrialComponentResponse"
},
- "documentation": "Lists model compilation jobs that satisfy various filters.
To create a model compilation job, use CreateCompilationJob. To get information about a particular model compilation job you have created, use DescribeCompilationJob.
"
+ "errors": [
+ {
+ "shape": "ResourceNotFound"
+ }
+ ],
+ "documentation": "Disassociates a trial component from a trial. This doesn't effect other trials the component is associated with. Before you can delete a component, you must disassociate the component from all trials it is associated with. To associate a trial component with a trial, call the AssociateTrialComponent API.
"
},
- "ListEndpointConfigs": {
+ "GetSearchSuggestions": {
+ "name": "GetSearchSuggestions",
+ "http": {
+ "method": "POST",
+ "requestUri": "/"
+ },
+ "input": {
+ "shape": "GetSearchSuggestionsRequest"
+ },
+ "output": {
+ "shape": "GetSearchSuggestionsResponse"
+ },
+ "documentation": "An auto-complete API for the search functionality in the Amazon SageMaker console. It returns suggestions of possible matches for the property name to use in Search
queries. Provides suggestions for HyperParameters
, Tags
, and Metrics
.
"
+ },
+ "ListAlgorithms": {
+ "name": "ListAlgorithms",
+ "http": {
+ "method": "POST",
+ "requestUri": "/"
+ },
+ "input": {
+ "shape": "ListAlgorithmsInput"
+ },
+ "output": {
+ "shape": "ListAlgorithmsOutput"
+ },
+ "documentation": "Lists the machine learning algorithms that have been created.
"
+ },
+ "ListApps": {
+ "name": "ListApps",
+ "http": {
+ "method": "POST",
+ "requestUri": "/"
+ },
+ "input": {
+ "shape": "ListAppsRequest"
+ },
+ "output": {
+ "shape": "ListAppsResponse"
+ },
+ "documentation": "Lists apps.
"
+ },
+ "ListAutoMLJobs": {
+ "name": "ListAutoMLJobs",
+ "http": {
+ "method": "POST",
+ "requestUri": "/"
+ },
+ "input": {
+ "shape": "ListAutoMLJobsRequest"
+ },
+ "output": {
+ "shape": "ListAutoMLJobsResponse"
+ },
+ "documentation": "Request a list of jobs.
"
+ },
+ "ListCandidatesForAutoMLJob": {
+ "name": "ListCandidatesForAutoMLJob",
+ "http": {
+ "method": "POST",
+ "requestUri": "/"
+ },
+ "input": {
+ "shape": "ListCandidatesForAutoMLJobRequest"
+ },
+ "output": {
+ "shape": "ListCandidatesForAutoMLJobResponse"
+ },
+ "errors": [
+ {
+ "shape": "ResourceNotFound"
+ }
+ ],
+ "documentation": "List the Candidates created for the job.
"
+ },
+ "ListCodeRepositories": {
+ "name": "ListCodeRepositories",
+ "http": {
+ "method": "POST",
+ "requestUri": "/"
+ },
+ "input": {
+ "shape": "ListCodeRepositoriesInput"
+ },
+ "output": {
+ "shape": "ListCodeRepositoriesOutput"
+ },
+ "documentation": "Gets a list of the Git repositories in your account.
"
+ },
+ "ListCompilationJobs": {
+ "name": "ListCompilationJobs",
+ "http": {
+ "method": "POST",
+ "requestUri": "/"
+ },
+ "input": {
+ "shape": "ListCompilationJobsRequest"
+ },
+ "output": {
+ "shape": "ListCompilationJobsResponse"
+ },
+ "documentation": "Lists model compilation jobs that satisfy various filters.
To create a model compilation job, use CreateCompilationJob. To get information about a particular model compilation job you have created, use DescribeCompilationJob.
"
+ },
+ "ListDomains": {
+ "name": "ListDomains",
+ "http": {
+ "method": "POST",
+ "requestUri": "/"
+ },
+ "input": {
+ "shape": "ListDomainsRequest"
+ },
+ "output": {
+ "shape": "ListDomainsResponse"
+ },
+ "documentation": "Lists the domains.
"
+ },
+ "ListEndpointConfigs": {
"name": "ListEndpointConfigs",
"http": {
"method": "POST",
@@ -751,6 +1470,48 @@
},
"documentation": "Lists endpoints.
"
},
+ "ListExperiments": {
+ "name": "ListExperiments",
+ "http": {
+ "method": "POST",
+ "requestUri": "/"
+ },
+ "input": {
+ "shape": "ListExperimentsRequest"
+ },
+ "output": {
+ "shape": "ListExperimentsResponse"
+ },
+ "documentation": "Lists all the experiments in your account. The list can be filtered to show only experiments that were created in a specific time range. The list can be sorted by experiment name or creation time.
"
+ },
+ "ListFlowDefinitions": {
+ "name": "ListFlowDefinitions",
+ "http": {
+ "method": "POST",
+ "requestUri": "/"
+ },
+ "input": {
+ "shape": "ListFlowDefinitionsRequest"
+ },
+ "output": {
+ "shape": "ListFlowDefinitionsResponse"
+ },
+ "documentation": "Returns information about the flow definitions in your account.
"
+ },
+ "ListHumanTaskUis": {
+ "name": "ListHumanTaskUis",
+ "http": {
+ "method": "POST",
+ "requestUri": "/"
+ },
+ "input": {
+ "shape": "ListHumanTaskUisRequest"
+ },
+ "output": {
+ "shape": "ListHumanTaskUisResponse"
+ },
+ "documentation": "Returns information about the human task user interfaces in your account.
"
+ },
"ListHyperParameterTuningJobs": {
"name": "ListHyperParameterTuningJobs",
"http": {
@@ -826,6 +1587,34 @@
},
"documentation": "Lists models created with the CreateModel API.
"
},
+ "ListMonitoringExecutions": {
+ "name": "ListMonitoringExecutions",
+ "http": {
+ "method": "POST",
+ "requestUri": "/"
+ },
+ "input": {
+ "shape": "ListMonitoringExecutionsRequest"
+ },
+ "output": {
+ "shape": "ListMonitoringExecutionsResponse"
+ },
+ "documentation": "Returns list of all monitoring job executions.
"
+ },
+ "ListMonitoringSchedules": {
+ "name": "ListMonitoringSchedules",
+ "http": {
+ "method": "POST",
+ "requestUri": "/"
+ },
+ "input": {
+ "shape": "ListMonitoringSchedulesRequest"
+ },
+ "output": {
+ "shape": "ListMonitoringSchedulesResponse"
+ },
+ "documentation": "Returns list of all monitoring schedules.
"
+ },
"ListNotebookInstanceLifecycleConfigs": {
"name": "ListNotebookInstanceLifecycleConfigs",
"http": {
@@ -854,6 +1643,20 @@
},
"documentation": "Returns a list of the Amazon SageMaker notebook instances in the requester's account in an AWS Region.
"
},
+ "ListProcessingJobs": {
+ "name": "ListProcessingJobs",
+ "http": {
+ "method": "POST",
+ "requestUri": "/"
+ },
+ "input": {
+ "shape": "ListProcessingJobsRequest"
+ },
+ "output": {
+ "shape": "ListProcessingJobsResponse"
+ },
+ "documentation": "Lists processing jobs that satisfy various filters.
"
+ },
"ListSubscribedWorkteams": {
"name": "ListSubscribedWorkteams",
"http": {
@@ -929,6 +1732,48 @@
},
"documentation": "Lists transform jobs.
"
},
+ "ListTrialComponents": {
+ "name": "ListTrialComponents",
+ "http": {
+ "method": "POST",
+ "requestUri": "/"
+ },
+ "input": {
+ "shape": "ListTrialComponentsRequest"
+ },
+ "output": {
+ "shape": "ListTrialComponentsResponse"
+ },
+ "documentation": "Lists the trial components in your account. You can filter the list to show only components that were created in a specific time range. You can sort the list by trial component name or creation time.
"
+ },
+ "ListTrials": {
+ "name": "ListTrials",
+ "http": {
+ "method": "POST",
+ "requestUri": "/"
+ },
+ "input": {
+ "shape": "ListTrialsRequest"
+ },
+ "output": {
+ "shape": "ListTrialsResponse"
+ },
+ "documentation": "Lists the trials in your account. Specify an experiment name to limit the list to the trials that are part of that experiment. The list can be filtered to show only trials that were created in a specific time range. The list can be sorted by trial name or creation time.
"
+ },
+ "ListUserProfiles": {
+ "name": "ListUserProfiles",
+ "http": {
+ "method": "POST",
+ "requestUri": "/"
+ },
+ "input": {
+ "shape": "ListUserProfilesRequest"
+ },
+ "output": {
+ "shape": "ListUserProfilesResponse"
+ },
+ "documentation": "Lists user profiles.
"
+ },
"ListWorkteams": {
"name": "ListWorkteams",
"http": {
@@ -971,6 +1816,22 @@
},
"documentation": "Finds Amazon SageMaker resources that match a search query. Matching resource objects are returned as a list of SearchResult
objects in the response. You can sort the search results by any resource property in a ascending or descending order.
You can query against the following value types: numerical, text, Booleans, and timestamps.
"
},
+ "StartMonitoringSchedule": {
+ "name": "StartMonitoringSchedule",
+ "http": {
+ "method": "POST",
+ "requestUri": "/"
+ },
+ "input": {
+ "shape": "StartMonitoringScheduleRequest"
+ },
+ "errors": [
+ {
+ "shape": "ResourceNotFound"
+ }
+ ],
+ "documentation": "Starts a previously stopped monitoring schedule.
New monitoring schedules are immediately started after creation.
"
+ },
"StartNotebookInstance": {
"name": "StartNotebookInstance",
"http": {
@@ -987,6 +1848,22 @@
],
"documentation": "Launches an ML compute instance with the latest version of the libraries and attaches your ML storage volume. After configuring the notebook instance, Amazon SageMaker sets the notebook instance status to InService
. A notebook instance's status must be InService
before you can connect to your Jupyter notebook.
"
},
+ "StopAutoMLJob": {
+ "name": "StopAutoMLJob",
+ "http": {
+ "method": "POST",
+ "requestUri": "/"
+ },
+ "input": {
+ "shape": "StopAutoMLJobRequest"
+ },
+ "errors": [
+ {
+ "shape": "ResourceNotFound"
+ }
+ ],
+ "documentation": "A method for forcing the termination of a running job.
"
+ },
"StopCompilationJob": {
"name": "StopCompilationJob",
"http": {
@@ -1035,6 +1912,22 @@
],
"documentation": "Stops a running labeling job. A job that is stopped cannot be restarted. Any results obtained before the job is stopped are placed in the Amazon S3 output bucket.
"
},
+ "StopMonitoringSchedule": {
+ "name": "StopMonitoringSchedule",
+ "http": {
+ "method": "POST",
+ "requestUri": "/"
+ },
+ "input": {
+ "shape": "StopMonitoringScheduleRequest"
+ },
+ "errors": [
+ {
+ "shape": "ResourceNotFound"
+ }
+ ],
+ "documentation": "Stops a previously started monitoring schedule.
"
+ },
"StopNotebookInstance": {
"name": "StopNotebookInstance",
"http": {
@@ -1046,6 +1939,22 @@
},
"documentation": "Terminates the ML compute instance. Before terminating the instance, Amazon SageMaker disconnects the ML storage volume from it. Amazon SageMaker preserves the ML storage volume. Amazon SageMaker stops charging you for the ML compute instance when you call StopNotebookInstance
.
To access data on the ML storage volume for a notebook instance that has been terminated, call the StartNotebookInstance
API. StartNotebookInstance
launches another ML compute instance, configures it, and attaches the preserved ML storage volume so you can continue your work.
"
},
+ "StopProcessingJob": {
+ "name": "StopProcessingJob",
+ "http": {
+ "method": "POST",
+ "requestUri": "/"
+ },
+ "input": {
+ "shape": "StopProcessingJobRequest"
+ },
+ "errors": [
+ {
+ "shape": "ResourceNotFound"
+ }
+ ],
+ "documentation": "Stops a processing job.
"
+ },
"StopTrainingJob": {
"name": "StopTrainingJob",
"http": {
@@ -1092,6 +2001,31 @@
},
"documentation": "Updates the specified Git repository with the specified values.
"
},
+ "UpdateDomain": {
+ "name": "UpdateDomain",
+ "http": {
+ "method": "POST",
+ "requestUri": "/"
+ },
+ "input": {
+ "shape": "UpdateDomainRequest"
+ },
+ "output": {
+ "shape": "UpdateDomainResponse"
+ },
+ "errors": [
+ {
+ "shape": "ResourceLimitExceeded"
+ },
+ {
+ "shape": "ResourceInUse"
+ },
+ {
+ "shape": "ResourceNotFound"
+ }
+ ],
+ "documentation": "Updates a domain. Changes will impact all of the people in the domain.
"
+ },
"UpdateEndpoint": {
"name": "UpdateEndpoint",
"http": {
@@ -1130,24 +2064,68 @@
],
"documentation": "Updates variant weight of one or more variants associated with an existing endpoint, or capacity of one variant associated with an existing endpoint. When it receives the request, Amazon SageMaker sets the endpoint status to Updating
. After updating the endpoint, it sets the status to InService
. To check the status of an endpoint, use the DescribeEndpoint API.
"
},
- "UpdateNotebookInstance": {
- "name": "UpdateNotebookInstance",
+ "UpdateExperiment": {
+ "name": "UpdateExperiment",
"http": {
"method": "POST",
"requestUri": "/"
},
"input": {
- "shape": "UpdateNotebookInstanceInput"
+ "shape": "UpdateExperimentRequest"
},
"output": {
- "shape": "UpdateNotebookInstanceOutput"
+ "shape": "UpdateExperimentResponse"
},
"errors": [
{
- "shape": "ResourceLimitExceeded"
+ "shape": "ConflictException"
+ },
+ {
+ "shape": "ResourceNotFound"
}
],
- "documentation": "Updates a notebook instance. NotebookInstance updates include upgrading or downgrading the ML compute instance used for your notebook instance to accommodate changes in your workload requirements.
"
+ "documentation": "Adds, updates, or removes the description of an experiment. Updates the display name of an experiment.
"
+ },
+ "UpdateMonitoringSchedule": {
+ "name": "UpdateMonitoringSchedule",
+ "http": {
+ "method": "POST",
+ "requestUri": "/"
+ },
+ "input": {
+ "shape": "UpdateMonitoringScheduleRequest"
+ },
+ "output": {
+ "shape": "UpdateMonitoringScheduleResponse"
+ },
+ "errors": [
+ {
+ "shape": "ResourceLimitExceeded"
+ },
+ {
+ "shape": "ResourceNotFound"
+ }
+ ],
+ "documentation": "Updates a previously created schedule.
"
+ },
+ "UpdateNotebookInstance": {
+ "name": "UpdateNotebookInstance",
+ "http": {
+ "method": "POST",
+ "requestUri": "/"
+ },
+ "input": {
+ "shape": "UpdateNotebookInstanceInput"
+ },
+ "output": {
+ "shape": "UpdateNotebookInstanceOutput"
+ },
+ "errors": [
+ {
+ "shape": "ResourceLimitExceeded"
+ }
+ ],
+ "documentation": "Updates a notebook instance. NotebookInstance updates include upgrading or downgrading the ML compute instance used for your notebook instance to accommodate changes in your workload requirements.
"
},
"UpdateNotebookInstanceLifecycleConfig": {
"name": "UpdateNotebookInstanceLifecycleConfig",
@@ -1168,6 +2146,75 @@
],
"documentation": "Updates a notebook instance lifecycle configuration created with the CreateNotebookInstanceLifecycleConfig API.
"
},
+ "UpdateTrial": {
+ "name": "UpdateTrial",
+ "http": {
+ "method": "POST",
+ "requestUri": "/"
+ },
+ "input": {
+ "shape": "UpdateTrialRequest"
+ },
+ "output": {
+ "shape": "UpdateTrialResponse"
+ },
+ "errors": [
+ {
+ "shape": "ConflictException"
+ },
+ {
+ "shape": "ResourceNotFound"
+ }
+ ],
+ "documentation": "Updates the display name of a trial.
"
+ },
+ "UpdateTrialComponent": {
+ "name": "UpdateTrialComponent",
+ "http": {
+ "method": "POST",
+ "requestUri": "/"
+ },
+ "input": {
+ "shape": "UpdateTrialComponentRequest"
+ },
+ "output": {
+ "shape": "UpdateTrialComponentResponse"
+ },
+ "errors": [
+ {
+ "shape": "ConflictException"
+ },
+ {
+ "shape": "ResourceNotFound"
+ }
+ ],
+ "documentation": "Updates one or more properties of a trial component.
"
+ },
+ "UpdateUserProfile": {
+ "name": "UpdateUserProfile",
+ "http": {
+ "method": "POST",
+ "requestUri": "/"
+ },
+ "input": {
+ "shape": "UpdateUserProfileRequest"
+ },
+ "output": {
+ "shape": "UpdateUserProfileResponse"
+ },
+ "errors": [
+ {
+ "shape": "ResourceLimitExceeded"
+ },
+ {
+ "shape": "ResourceInUse"
+ },
+ {
+ "shape": "ResourceNotFound"
+ }
+ ],
+ "documentation": "Updates a user profile.
"
+ },
"UpdateWorkteam": {
"name": "UpdateWorkteam",
"http": {
@@ -1270,6 +2317,10 @@
"MetricDefinitions": {
"shape": "MetricDefinitionList",
"documentation": "A list of metric definition objects. Each object specifies the metric name and regular expressions used to parse algorithm logs. Amazon SageMaker publishes each metric to Amazon CloudWatch.
"
+ },
+ "EnableSageMakerMetricsTimeSeries": {
+ "shape": "Boolean",
+ "documentation": "To generate and save time-series metrics during training, set to true
. The default is false
and time-series metrics aren't generated except in the following cases:
-
You use one of the Amazon SageMaker built-in algorithms
-
You use one of the following prebuilt Amazon SageMaker Docker images:
-
You specify at least one MetricDefinition
"
}
},
"documentation": "Specifies the training algorithm to use in a CreateTrainingJob request.
For more information about algorithms provided by Amazon SageMaker, see Algorithms. For information about using your own algorithms, see Using Your Own Algorithms with Amazon SageMaker.
"
@@ -1420,11 +2471,139 @@
"members": {
"AnnotationConsolidationLambdaArn": {
"shape": "LambdaFunctionArn",
- "documentation": "The Amazon Resource Name (ARN) of a Lambda function implements the logic for annotation consolidation.
For the built-in bounding box, image classification, semantic segmentation, and text classification task types, Amazon SageMaker Ground Truth provides the following Lambda functions:
-
Bounding box - Finds the most similar boxes from different workers based on the Jaccard index of the boxes.
arn:aws:lambda:us-east-1:432418664414:function:ACS-BoundingBox
arn:aws:lambda:us-east-2:266458841044:function:ACS-BoundingBox
arn:aws:lambda:us-west-2:081040173940:function:ACS-BoundingBox
arn:aws:lambda:eu-west-1:568282634449:function:ACS-BoundingBox
arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-BoundingBox
arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-BoundingBox
arn:aws:lambda:ap-south-1:565803892007:function:ACS-BoundingBox
arn:aws:lambda:eu-central-1:203001061592:function:ACS-BoundingBox
arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-BoundingBox
arn:aws:lambda:eu-west-2:487402164563:function:ACS-BoundingBox
arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-BoundingBox
arn:aws:lambda:ca-central-1:918755190332:function:ACS-BoundingBox
-
Image classification - Uses a variant of the Expectation Maximization approach to estimate the true class of an image based on annotations from individual workers.
arn:aws:lambda:us-east-1:432418664414:function:ACS-ImageMultiClass
arn:aws:lambda:us-east-2:266458841044:function:ACS-ImageMultiClass
arn:aws:lambda:us-west-2:081040173940:function:ACS-ImageMultiClass
arn:aws:lambda:eu-west-1:568282634449:function:ACS-ImageMultiClass
arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-ImageMultiClass
arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-ImageMultiClass
arn:aws:lambda:ap-south-1:565803892007:function:ACS-ImageMultiClass
arn:aws:lambda:eu-central-1:203001061592:function:ACS-ImageMultiClass
arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-ImageMultiClass
arn:aws:lambda:eu-west-2:487402164563:function:ACS-ImageMultiClass
arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-ImageMultiClass
arn:aws:lambda:ca-central-1:918755190332:function:ACS-ImageMultiClass
-
Semantic segmentation - Treats each pixel in an image as a multi-class classification and treats pixel annotations from workers as \"votes\" for the correct label.
arn:aws:lambda:us-east-1:432418664414:function:ACS-SemanticSegmentation
arn:aws:lambda:us-east-2:266458841044:function:ACS-SemanticSegmentation
arn:aws:lambda:us-west-2:081040173940:function:ACS-SemanticSegmentation
arn:aws:lambda:eu-west-1:568282634449:function:ACS-SemanticSegmentation
arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-SemanticSegmentation
arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-SemanticSegmentation
arn:aws:lambda:ap-south-1:565803892007:function:ACS-SemanticSegmentation
arn:aws:lambda:eu-central-1:203001061592:function:ACS-SemanticSegmentation
arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-SemanticSegmentation
arn:aws:lambda:eu-west-2:487402164563:function:ACS-SemanticSegmentation
arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-SemanticSegmentation
arn:aws:lambda:ca-central-1:918755190332:function:ACS-SemanticSegmentation
-
Text classification - Uses a variant of the Expectation Maximization approach to estimate the true class of text based on annotations from individual workers.
arn:aws:lambda:us-east-1:432418664414:function:ACS-TextMultiClass
arn:aws:lambda:us-east-2:266458841044:function:ACS-TextMultiClass
arn:aws:lambda:us-west-2:081040173940:function:ACS-TextMultiClass
arn:aws:lambda:eu-west-1:568282634449:function:ACS-TextMultiClass
arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-TextMultiClass
arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-TextMultiClass
arn:aws:lambda:ap-south-1:565803892007:function:ACS-TextMultiClass
arn:aws:lambda:eu-central-1:203001061592:function:ACS-TextMultiClass
arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-TextMultiClass
arn:aws:lambda:eu-west-2:487402164563:function:ACS-TextMultiClass
arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-TextMultiClass
arn:aws:lambda:ca-central-1:918755190332:function:ACS-TextMultiClass
-
Named entity eecognition - Groups similar selections and calculates aggregate boundaries, resolving to most-assigned label.
arn:aws:lambda:us-east-1:432418664414:function:ACS-NamedEntityRecognition
arn:aws:lambda:us-east-2:266458841044:function:ACS-NamedEntityRecognition
arn:aws:lambda:us-west-2:081040173940:function:ACS-NamedEntityRecognition
arn:aws:lambda:eu-west-1:568282634449:function:ACS-NamedEntityRecognition
arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-NamedEntityRecognition
arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-NamedEntityRecognition
arn:aws:lambda:ap-south-1:565803892007:function:ACS-NamedEntityRecognition
arn:aws:lambda:eu-central-1:203001061592:function:ACS-NamedEntityRecognition
arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-NamedEntityRecognition
arn:aws:lambda:eu-west-2:487402164563:function:ACS-NamedEntityRecognition
arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-NamedEntityRecognition
arn:aws:lambda:ca-central-1:918755190332:function:ACS-NamedEntityRecognition
For more information, see Annotation Consolidation.
"
+ "documentation": "The Amazon Resource Name (ARN) of a Lambda function implements the logic for annotation consolidation.
For the built-in bounding box, image classification, semantic segmentation, and text classification task types, Amazon SageMaker Ground Truth provides the following Lambda functions:
-
Bounding box - Finds the most similar boxes from different workers based on the Jaccard index of the boxes.
arn:aws:lambda:us-east-1:432418664414:function:ACS-BoundingBox
arn:aws:lambda:us-east-2:266458841044:function:ACS-BoundingBox
arn:aws:lambda:us-west-2:081040173940:function:ACS-BoundingBox
arn:aws:lambda:eu-west-1:568282634449:function:ACS-BoundingBox
arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-BoundingBox
arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-BoundingBox
arn:aws:lambda:ap-south-1:565803892007:function:ACS-BoundingBox
arn:aws:lambda:eu-central-1:203001061592:function:ACS-BoundingBox
arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-BoundingBox
arn:aws:lambda:eu-west-2:487402164563:function:ACS-BoundingBox
arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-BoundingBox
arn:aws:lambda:ca-central-1:918755190332:function:ACS-BoundingBox
-
Image classification - Uses a variant of the Expectation Maximization approach to estimate the true class of an image based on annotations from individual workers.
arn:aws:lambda:us-east-1:432418664414:function:ACS-ImageMultiClass
arn:aws:lambda:us-east-2:266458841044:function:ACS-ImageMultiClass
arn:aws:lambda:us-west-2:081040173940:function:ACS-ImageMultiClass
arn:aws:lambda:eu-west-1:568282634449:function:ACS-ImageMultiClass
arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-ImageMultiClass
arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-ImageMultiClass
arn:aws:lambda:ap-south-1:565803892007:function:ACS-ImageMultiClass
arn:aws:lambda:eu-central-1:203001061592:function:ACS-ImageMultiClass
arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-ImageMultiClass
arn:aws:lambda:eu-west-2:487402164563:function:ACS-ImageMultiClass
arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-ImageMultiClass
arn:aws:lambda:ca-central-1:918755190332:function:ACS-ImageMultiClass
-
Semantic segmentation - Treats each pixel in an image as a multi-class classification and treats pixel annotations from workers as \"votes\" for the correct label.
arn:aws:lambda:us-east-1:432418664414:function:ACS-SemanticSegmentation
arn:aws:lambda:us-east-2:266458841044:function:ACS-SemanticSegmentation
arn:aws:lambda:us-west-2:081040173940:function:ACS-SemanticSegmentation
arn:aws:lambda:eu-west-1:568282634449:function:ACS-SemanticSegmentation
arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-SemanticSegmentation
arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-SemanticSegmentation
arn:aws:lambda:ap-south-1:565803892007:function:ACS-SemanticSegmentation
arn:aws:lambda:eu-central-1:203001061592:function:ACS-SemanticSegmentation
arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-SemanticSegmentation
arn:aws:lambda:eu-west-2:487402164563:function:ACS-SemanticSegmentation
arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-SemanticSegmentation
arn:aws:lambda:ca-central-1:918755190332:function:ACS-SemanticSegmentation
-
Text classification - Uses a variant of the Expectation Maximization approach to estimate the true class of text based on annotations from individual workers.
arn:aws:lambda:us-east-1:432418664414:function:ACS-TextMultiClass
arn:aws:lambda:us-east-2:266458841044:function:ACS-TextMultiClass
arn:aws:lambda:us-west-2:081040173940:function:ACS-TextMultiClass
arn:aws:lambda:eu-west-1:568282634449:function:ACS-TextMultiClass
arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-TextMultiClass
arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-TextMultiClass
arn:aws:lambda:ap-south-1:565803892007:function:ACS-TextMultiClass
arn:aws:lambda:eu-central-1:203001061592:function:ACS-TextMultiClass
arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-TextMultiClass
arn:aws:lambda:eu-west-2:487402164563:function:ACS-TextMultiClass
arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-TextMultiClass
arn:aws:lambda:ca-central-1:918755190332:function:ACS-TextMultiClass
-
Named entity recognition - Groups similar selections and calculates aggregate boundaries, resolving to most-assigned label.
arn:aws:lambda:us-east-1:432418664414:function:ACS-NamedEntityRecognition
arn:aws:lambda:us-east-2:266458841044:function:ACS-NamedEntityRecognition
arn:aws:lambda:us-west-2:081040173940:function:ACS-NamedEntityRecognition
arn:aws:lambda:eu-west-1:568282634449:function:ACS-NamedEntityRecognition
arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-NamedEntityRecognition
arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-NamedEntityRecognition
arn:aws:lambda:ap-south-1:565803892007:function:ACS-NamedEntityRecognition
arn:aws:lambda:eu-central-1:203001061592:function:ACS-NamedEntityRecognition
arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-NamedEntityRecognition
arn:aws:lambda:eu-west-2:487402164563:function:ACS-NamedEntityRecognition
arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-NamedEntityRecognition
arn:aws:lambda:ca-central-1:918755190332:function:ACS-NamedEntityRecognition
-
Bounding box verification - Uses a variant of the Expectation Maximization approach to estimate the true class of verification judgement for bounding box labels based on annotations from individual workers.
arn:aws:lambda:us-east-1:432418664414:function:ACS-VerificationBoundingBox
arn:aws:lambda:us-east-2:266458841044:function:ACS-VerificationBoundingBox
arn:aws:lambda:us-west-2:081040173940:function:ACS-VerificationBoundingBox
arn:aws:lambda:eu-west-1:568282634449:function:ACS-VerificationBoundingBox
arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-VerificationBoundingBox
arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-VerificationBoundingBox
arn:aws:lambda:ap-south-1:565803892007:function:ACS-VerificationBoundingBox
arn:aws:lambda:eu-central-1:203001061592:function:ACS-VerificationBoundingBox
arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-VerificationBoundingBox
arn:aws:lambda:eu-west-2:487402164563:function:ACS-VerificationBoundingBox
arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-VerificationBoundingBox
arn:aws:lambda:ca-central-1:918755190332:function:ACS-VerificationBoundingBox
-
Semantic segmentation verification - Uses a variant of the Expectation Maximization approach to estimate the true class of verification judgement for semantic segmentation labels based on annotations from individual workers.
arn:aws:lambda:us-east-1:432418664414:function:ACS-VerificationSemanticSegmentation
arn:aws:lambda:us-east-2:266458841044:function:ACS-VerificationSemanticSegmentation
arn:aws:lambda:us-west-2:081040173940:function:ACS-VerificationSemanticSegmentation
arn:aws:lambda:eu-west-1:568282634449:function:ACS-VerificationSemanticSegmentation
arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-VerificationSemanticSegmentation
arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-VerificationSemanticSegmentation
arn:aws:lambda:ap-south-1:565803892007:function:ACS-VerificationSemanticSegmentation
arn:aws:lambda:eu-central-1:203001061592:function:ACS-VerificationSemanticSegmentation
arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-VerificationSemanticSegmentation
arn:aws:lambda:eu-west-2:487402164563:function:ACS-VerificationSemanticSegmentation
arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-VerificationSemanticSegmentation
arn:aws:lambda:ca-central-1:918755190332:function:ACS-VerificationSemanticSegmentation
-
Bounding box adjustment - Finds the most similar boxes from different workers based on the Jaccard index of the adjusted annotations.
arn:aws:lambda:us-east-1:432418664414:function:ACS-AdjustmentBoundingBox
arn:aws:lambda:us-east-2:266458841044:function:ACS-AdjustmentBoundingBox
arn:aws:lambda:us-west-2:081040173940:function:ACS-AdjustmentBoundingBox
arn:aws:lambda:eu-west-1:568282634449:function:ACS-AdjustmentBoundingBox
arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-AdjustmentBoundingBox
arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-AdjustmentBoundingBox
arn:aws:lambda:ap-south-1:565803892007:function:ACS-AdjustmentBoundingBox
arn:aws:lambda:eu-central-1:203001061592:function:ACS-AdjustmentBoundingBox
arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-AdjustmentBoundingBox
arn:aws:lambda:eu-west-2:487402164563:function:ACS-AdjustmentBoundingBox
arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-AdjustmentBoundingBox
arn:aws:lambda:ca-central-1:918755190332:function:ACS-AdjustmentBoundingBox
-
Semantic segmentation adjustment - Treats each pixel in an image as a multi-class classification and treats pixel adjusted annotations from workers as \"votes\" for the correct label.
arn:aws:lambda:us-east-1:432418664414:function:ACS-AdjustmentSemanticSegmentation
arn:aws:lambda:us-east-2:266458841044:function:ACS-AdjustmentSemanticSegmentation
arn:aws:lambda:us-west-2:081040173940:function:ACS-AdjustmentSemanticSegmentation
arn:aws:lambda:eu-west-1:568282634449:function:ACS-AdjustmentSemanticSegmentation
arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-AdjustmentSemanticSegmentation
arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-AdjustmentSemanticSegmentation
arn:aws:lambda:ap-south-1:565803892007:function:ACS-AdjustmentSemanticSegmentation
arn:aws:lambda:eu-central-1:203001061592:function:ACS-AdjustmentSemanticSegmentation
arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-AdjustmentSemanticSegmentation
arn:aws:lambda:eu-west-2:487402164563:function:ACS-AdjustmentSemanticSegmentation
arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-AdjustmentSemanticSegmentation
arn:aws:lambda:ca-central-1:918755190332:function:ACS-AdjustmentSemanticSegmentation
For more information, see Annotation Consolidation.
"
}
},
"documentation": "Configures how labels are consolidated across human workers.
"
},
+ "AppArn": {
+ "type": "string",
+ "max": 256,
+ "pattern": "arn:aws[a-z\\-]*:sagemaker:[a-z0-9\\-]*:[0-9]{12}:app/.*"
+ },
+ "AppDetails": {
+ "type": "structure",
+ "members": {
+ "DomainId": {
+ "shape": "DomainId",
+ "documentation": "The domain ID.
"
+ },
+ "UserProfileName": {
+ "shape": "UserProfileName",
+ "documentation": "The user profile name.
"
+ },
+ "AppType": {
+ "shape": "AppType",
+ "documentation": "The type of app.
"
+ },
+ "AppName": {
+ "shape": "AppName",
+ "documentation": "The name of the app.
"
+ },
+ "Status": {
+ "shape": "AppStatus",
+ "documentation": "The status.
"
+ },
+ "CreationTime": {
+ "shape": "CreationTime",
+ "documentation": "The creation time.
"
+ }
+ },
+ "documentation": "The app's details.
"
+ },
+ "AppInstanceType": {
+ "type": "string",
+ "enum": [
+ "system",
+ "ml.t3.micro",
+ "ml.t3.small",
+ "ml.t3.medium",
+ "ml.t3.large",
+ "ml.t3.xlarge",
+ "ml.t3.2xlarge",
+ "ml.m5.large",
+ "ml.m5.xlarge",
+ "ml.m5.2xlarge",
+ "ml.m5.4xlarge",
+ "ml.m5.8xlarge",
+ "ml.m5.12xlarge",
+ "ml.m5.16xlarge",
+ "ml.m5.24xlarge",
+ "ml.c5.large",
+ "ml.c5.xlarge",
+ "ml.c5.2xlarge",
+ "ml.c5.4xlarge",
+ "ml.c5.9xlarge",
+ "ml.c5.12xlarge",
+ "ml.c5.18xlarge",
+ "ml.c5.24xlarge",
+ "ml.p3.2xlarge",
+ "ml.p3.8xlarge",
+ "ml.p3.16xlarge",
+ "ml.g4dn.xlarge",
+ "ml.g4dn.2xlarge",
+ "ml.g4dn.4xlarge",
+ "ml.g4dn.8xlarge",
+ "ml.g4dn.12xlarge",
+ "ml.g4dn.16xlarge"
+ ]
+ },
+ "AppList": {
+ "type": "list",
+ "member": {
+ "shape": "AppDetails"
+ }
+ },
+ "AppName": {
+ "type": "string",
+ "max": 63,
+ "pattern": "^[a-zA-Z0-9](-*[a-zA-Z0-9])*"
+ },
+ "AppSortKey": {
+ "type": "string",
+ "enum": [
+ "CreationTime"
+ ]
+ },
+ "AppSpecification": {
+ "type": "structure",
+ "required": [
+ "ImageUri"
+ ],
+ "members": {
+ "ImageUri": {
+ "shape": "ImageUri",
+ "documentation": "The container image to be run by the processing job.
"
+ },
+ "ContainerEntrypoint": {
+ "shape": "ContainerEntrypoint",
+ "documentation": "The entrypoint for a container used to run a processing job.
"
+ },
+ "ContainerArguments": {
+ "shape": "ContainerArguments",
+ "documentation": "The arguments for a container used to run a processing job.
"
+ }
+ },
+ "documentation": "Configuration to run a processing job in a specified container image.
"
+ },
+ "AppStatus": {
+ "type": "string",
+ "enum": [
+ "Deleted",
+ "Deleting",
+ "Failed",
+ "InService",
+ "Pending"
+ ]
+ },
+ "AppType": {
+ "type": "string",
+ "enum": [
+ "JupyterServer",
+ "KernelGateway",
+ "TensorBoard"
+ ]
+ },
"ArnOrName": {
"type": "string",
"max": 170,
@@ -1438,6 +2617,36 @@
"Line"
]
},
+ "AssociateTrialComponentRequest": {
+ "type": "structure",
+ "required": [
+ "TrialComponentName",
+ "TrialName"
+ ],
+ "members": {
+ "TrialComponentName": {
+ "shape": "ExperimentEntityName",
+ "documentation": "The name of the component to associated with the trial.
"
+ },
+ "TrialName": {
+ "shape": "ExperimentEntityName",
+ "documentation": "The name of the trial to associate with.
"
+ }
+ }
+ },
+ "AssociateTrialComponentResponse": {
+ "type": "structure",
+ "members": {
+ "TrialComponentArn": {
+ "shape": "TrialComponentArn",
+ "documentation": "The ARN of the trial component.
"
+ },
+ "TrialArn": {
+ "shape": "TrialArn",
+ "documentation": "The Amazon Resource Name (ARN) of the trial.
"
+ }
+ }
+ },
"AttributeName": {
"type": "string",
"max": 256,
@@ -1451,2409 +2660,2858 @@
},
"max": 16
},
- "BatchStrategy": {
- "type": "string",
- "enum": [
- "MultiRecord",
- "SingleRecord"
- ]
- },
- "BillableTimeInSeconds": {
- "type": "integer",
- "min": 1
- },
- "Boolean": {
- "type": "boolean"
- },
- "BooleanOperator": {
+ "AuthMode": {
"type": "string",
"enum": [
- "And",
- "Or"
+ "SSO",
+ "IAM"
]
},
- "Branch": {
- "type": "string",
- "max": 1024,
- "min": 1,
- "pattern": "[^ ~^:?*\\[]+"
- },
- "CategoricalParameterRange": {
+ "AutoMLCandidate": {
"type": "structure",
"required": [
- "Name",
- "Values"
+ "CandidateName",
+ "ObjectiveStatus",
+ "CandidateSteps",
+ "CandidateStatus",
+ "CreationTime",
+ "LastModifiedTime"
],
"members": {
- "Name": {
- "shape": "ParameterKey",
- "documentation": "The name of the categorical hyperparameter to tune.
"
+ "CandidateName": {
+ "shape": "CandidateName",
+ "documentation": "The candidate name.
"
},
- "Values": {
- "shape": "ParameterValues",
- "documentation": "A list of the categories for the hyperparameter.
"
+ "FinalAutoMLJobObjectiveMetric": {
+ "shape": "FinalAutoMLJobObjectiveMetric"
+ },
+ "ObjectiveStatus": {
+ "shape": "ObjectiveStatus",
+ "documentation": "The objective status.
"
+ },
+ "CandidateSteps": {
+ "shape": "CandidateSteps",
+ "documentation": "The candidate's steps.
"
+ },
+ "CandidateStatus": {
+ "shape": "CandidateStatus",
+ "documentation": "The candidate's status.
"
+ },
+ "InferenceContainers": {
+ "shape": "AutoMLContainerDefinitions",
+ "documentation": "The inference containers.
"
+ },
+ "CreationTime": {
+ "shape": "Timestamp",
+ "documentation": "The creation time.
"
+ },
+ "EndTime": {
+ "shape": "Timestamp",
+ "documentation": "The end time.
"
+ },
+ "LastModifiedTime": {
+ "shape": "Timestamp",
+ "documentation": "The last modified time.
"
+ },
+ "FailureReason": {
+ "shape": "AutoMLFailureReason",
+ "documentation": "The failure reason.
"
}
},
- "documentation": "A list of categorical hyperparameters to tune.
"
+ "documentation": "An AutoPilot job will return recommendations, or candidates. Each candidate has futher details about the steps involed, and the status.
"
},
- "CategoricalParameterRangeSpecification": {
+ "AutoMLCandidateStep": {
"type": "structure",
"required": [
- "Values"
+ "CandidateStepType",
+ "CandidateStepArn",
+ "CandidateStepName"
],
"members": {
- "Values": {
- "shape": "ParameterValues",
- "documentation": "The allowed categories for the hyperparameter.
"
+ "CandidateStepType": {
+ "shape": "CandidateStepType",
+ "documentation": "Whether the Candidate is at the transform, training, or processing step.
"
+ },
+ "CandidateStepArn": {
+ "shape": "CandidateStepArn",
+ "documentation": "The ARN for the Candidate's step.
"
+ },
+ "CandidateStepName": {
+ "shape": "CandidateStepName",
+ "documentation": "The name for the Candidate's step.
"
}
},
- "documentation": "Defines the possible values for a categorical hyperparameter.
"
+ "documentation": "Information about the steps for a Candidate, and what step it is working on.
"
},
- "CategoricalParameterRanges": {
+ "AutoMLCandidates": {
"type": "list",
"member": {
- "shape": "CategoricalParameterRange"
- },
- "max": 20,
- "min": 0
- },
- "Cents": {
- "type": "integer",
- "max": 99,
- "min": 0
- },
- "CertifyForMarketplace": {
- "type": "boolean"
+ "shape": "AutoMLCandidate"
+ }
},
- "Channel": {
+ "AutoMLChannel": {
"type": "structure",
"required": [
- "ChannelName",
- "DataSource"
+ "DataSource",
+ "TargetAttributeName"
],
"members": {
- "ChannelName": {
- "shape": "ChannelName",
- "documentation": "The name of the channel.
"
- },
"DataSource": {
- "shape": "DataSource",
- "documentation": "The location of the channel data.
"
- },
- "ContentType": {
- "shape": "ContentType",
- "documentation": "The MIME type of the data.
"
+ "shape": "AutoMLDataSource",
+ "documentation": "The data source.
"
},
"CompressionType": {
"shape": "CompressionType",
- "documentation": "If training data is compressed, the compression type. The default value is None
. CompressionType
is used only in Pipe input mode. In File mode, leave this field unset or set it to None.
"
- },
- "RecordWrapperType": {
- "shape": "RecordWrapper",
- "documentation": " Specify RecordIO as the value when input data is in raw format but the training algorithm requires the RecordIO format. In this case, Amazon SageMaker wraps each individual S3 object in a RecordIO record. If the input data is already in RecordIO format, you don't need to set this attribute. For more information, see Create a Dataset Using RecordIO.
In File mode, leave this field unset or set it to None.
"
+ "documentation": "You can use Gzip or None. The default value is None.
"
},
- "InputMode": {
- "shape": "TrainingInputMode",
- "documentation": "(Optional) The input mode to use for the data channel in a training job. If you don't set a value for InputMode
, Amazon SageMaker uses the value set for TrainingInputMode
. Use this parameter to override the TrainingInputMode
setting in a AlgorithmSpecification request when you have a channel that needs a different input mode from the training job's general setting. To download the data from Amazon Simple Storage Service (Amazon S3) to the provisioned ML storage volume, and mount the directory to a Docker volume, use File
input mode. To stream data directly from Amazon S3 to the container, choose Pipe
input mode.
To use a model for incremental training, choose File
input model.
"
- },
- "ShuffleConfig": {
- "shape": "ShuffleConfig",
- "documentation": "A configuration for a shuffle option for input data in a channel. If you use S3Prefix
for S3DataType
, this shuffles the results of the S3 key prefix matches. If you use ManifestFile
, the order of the S3 object references in the ManifestFile
is shuffled. If you use AugmentedManifestFile
, the order of the JSON lines in the AugmentedManifestFile
is shuffled. The shuffling order is determined using the Seed
value.
For Pipe input mode, shuffling is done at the start of every epoch. With large datasets this ensures that the order of the training data is different for each epoch, it helps reduce bias and possible overfitting. In a multi-node training job when ShuffleConfig is combined with S3DataDistributionType
of ShardedByS3Key
, the data is shuffled across nodes so that the content sent to a particular node on the first epoch might be sent to a different node on the second epoch.
"
+ "TargetAttributeName": {
+ "shape": "TargetAttributeName",
+ "documentation": "The name of the target variable in supervised learning, a.k.a. ‘y’.
"
}
},
- "documentation": "A channel is a named input source that training algorithms can consume.
"
+ "documentation": "Similar to Channel. A channel is a named input source that training algorithms can consume. Refer to Channel for detailed descriptions.
"
},
- "ChannelName": {
- "type": "string",
- "max": 64,
- "min": 1,
- "pattern": "[A-Za-z0-9\\.\\-_]+"
- },
- "ChannelSpecification": {
+ "AutoMLContainerDefinition": {
"type": "structure",
"required": [
- "Name",
- "SupportedContentTypes",
- "SupportedInputModes"
+ "Image",
+ "ModelDataUrl"
],
"members": {
- "Name": {
- "shape": "ChannelName",
- "documentation": "The name of the channel.
"
- },
- "Description": {
- "shape": "EntityDescription",
- "documentation": "A brief description of the channel.
"
- },
- "IsRequired": {
- "shape": "Boolean",
- "documentation": "Indicates whether the channel is required by the algorithm.
"
- },
- "SupportedContentTypes": {
- "shape": "ContentTypes",
- "documentation": "The supported MIME types for the data.
"
+ "Image": {
+ "shape": "Image",
+ "documentation": "The ECR path of the container. Refer to ContainerDefinition for more details.
"
},
- "SupportedCompressionTypes": {
- "shape": "CompressionTypes",
- "documentation": "The allowed compression types, if data compression is used.
"
+ "ModelDataUrl": {
+ "shape": "Url",
+ "documentation": "The location of the model artifacts. Refer to ContainerDefinition for more details.
"
},
- "SupportedInputModes": {
- "shape": "InputModes",
- "documentation": "The allowed input mode, either FILE or PIPE.
In FILE mode, Amazon SageMaker copies the data from the input source onto the local Amazon Elastic Block Store (Amazon EBS) volumes before starting your training algorithm. This is the most commonly used input mode.
In PIPE mode, Amazon SageMaker streams input data from the source directly to your algorithm without using the EBS volume.
"
+ "Environment": {
+ "shape": "EnvironmentMap",
+ "documentation": "Environment variables to set in the container. Refer to ContainerDefinition for more details.
"
}
},
- "documentation": "Defines a named input source, called a channel, to be used by an algorithm.
"
+ "documentation": "A list of container definitions that describe the different containers that make up one AutoML candidate. Refer to ContainerDefinition for more details.
"
},
- "ChannelSpecifications": {
+ "AutoMLContainerDefinitions": {
"type": "list",
"member": {
- "shape": "ChannelSpecification"
+ "shape": "AutoMLContainerDefinition"
},
- "max": 8,
- "min": 1
+ "max": 5
},
- "CheckpointConfig": {
+ "AutoMLDataSource": {
"type": "structure",
"required": [
- "S3Uri"
+ "S3DataSource"
],
"members": {
- "S3Uri": {
- "shape": "S3Uri",
- "documentation": "Identifies the S3 path where you want Amazon SageMaker to store checkpoints. For example, s3://bucket-name/key-name-prefix
.
"
- },
- "LocalPath": {
- "shape": "DirectoryPath",
- "documentation": "(Optional) The local directory where checkpoints are written. The default directory is /opt/ml/checkpoints/
.
"
+ "S3DataSource": {
+ "shape": "AutoMLS3DataSource",
+ "documentation": "The Amazon S3 location of the data.
"
}
},
- "documentation": "Contains information about the output location for managed spot training checkpoint data.
"
- },
- "CodeRepositoryArn": {
- "type": "string",
- "max": 2048,
- "min": 1,
- "pattern": "arn:aws[a-z\\-]*:sagemaker:[a-z0-9\\-]*:[0-9]{12}:code-repository/.*"
+ "documentation": "The data source for the AutoPilot job.
"
},
- "CodeRepositoryContains": {
+ "AutoMLFailureReason": {
"type": "string",
- "max": 1024,
- "pattern": "[a-zA-Z0-9-]+"
+ "max": 1024
},
- "CodeRepositoryNameContains": {
- "type": "string",
- "max": 63,
- "pattern": "[a-zA-Z0-9-]+"
+ "AutoMLInputDataConfig": {
+ "type": "list",
+ "member": {
+ "shape": "AutoMLChannel"
+ },
+ "max": 20,
+ "min": 1
},
- "CodeRepositoryNameOrUrl": {
+ "AutoMLJobArn": {
"type": "string",
- "max": 1024,
+ "max": 256,
"min": 1,
- "pattern": "^https://([^/]+)/?(.*)$|^[a-zA-Z0-9](-*[a-zA-Z0-9])*"
- },
- "CodeRepositorySortBy": {
- "type": "string",
- "enum": [
- "Name",
- "CreationTime",
- "LastModifiedTime"
- ]
- },
- "CodeRepositorySortOrder": {
- "type": "string",
- "enum": [
- "Ascending",
- "Descending"
- ]
+ "pattern": "arn:aws[a-z\\-]*:sagemaker:[a-z0-9\\-]*:[0-9]{12}:automl-job/.*"
},
- "CodeRepositorySummary": {
+ "AutoMLJobArtifacts": {
"type": "structure",
- "required": [
- "CodeRepositoryName",
- "CodeRepositoryArn",
- "CreationTime",
- "LastModifiedTime"
- ],
"members": {
- "CodeRepositoryName": {
- "shape": "EntityName",
- "documentation": "The name of the Git repository.
"
- },
- "CodeRepositoryArn": {
- "shape": "CodeRepositoryArn",
- "documentation": "The Amazon Resource Name (ARN) of the Git repository.
"
+ "CandidateDefinitionNotebookLocation": {
+ "shape": "CandidateDefinitionNotebookLocation",
+ "documentation": "The URL to the notebook location.
"
},
- "CreationTime": {
- "shape": "CreationTime",
- "documentation": "The date and time that the Git repository was created.
"
+ "DataExplorationNotebookLocation": {
+ "shape": "DataExplorationNotebookLocation",
+ "documentation": "The URL to the notebook location.
"
+ }
+ },
+ "documentation": "Artifacts that are generation during a job.
"
+ },
+ "AutoMLJobCompletionCriteria": {
+ "type": "structure",
+ "members": {
+ "MaxCandidates": {
+ "shape": "MaxCandidates",
+ "documentation": "The maximum number of times a training job is allowed to run.
"
},
- "LastModifiedTime": {
- "shape": "LastModifiedTime",
- "documentation": "The date and time that the Git repository was last modified.
"
+ "MaxRuntimePerTrainingJobInSeconds": {
+ "shape": "MaxRuntimePerTrainingJobInSeconds",
+ "documentation": "The maximum time, in seconds, a job is allowed to run.
"
},
- "GitConfig": {
- "shape": "GitConfig",
- "documentation": "Configuration details for the Git repository, including the URL where it is located and the ARN of the AWS Secrets Manager secret that contains the credentials used to access the repository.
"
+ "MaxAutoMLJobRuntimeInSeconds": {
+ "shape": "MaxAutoMLJobRuntimeInSeconds",
+ "documentation": "The maximum time, in seconds, an AutoML job is allowed to wait for a trial to complete. It must be equal to or greater than MaxRuntimePerTrainingJobInSeconds.
"
}
},
- "documentation": "Specifies summary information about a Git repository.
"
+ "documentation": "How long a job is allowed to run, or how many candidates a job is allowed to generate.
"
},
- "CodeRepositorySummaryList": {
- "type": "list",
- "member": {
- "shape": "CodeRepositorySummary"
- }
+ "AutoMLJobConfig": {
+ "type": "structure",
+ "members": {
+ "CompletionCriteria": {
+ "shape": "AutoMLJobCompletionCriteria",
+ "documentation": "How long a job is allowed to run, or how many candidates a job is allowed to generate.
"
+ },
+ "SecurityConfig": {
+ "shape": "AutoMLSecurityConfig",
+ "documentation": "Security configuration for traffic encryption or Amazon VPC settings.
"
+ }
+ },
+ "documentation": "A collection of settings used for a job.
"
},
- "CognitoClientId": {
+ "AutoMLJobName": {
"type": "string",
- "max": 128,
+ "max": 32,
"min": 1,
- "pattern": "[\\w+]+"
+ "pattern": "^[a-zA-Z0-9](-*[a-zA-Z0-9])*"
},
- "CognitoMemberDefinition": {
+ "AutoMLJobObjective": {
"type": "structure",
"required": [
- "UserPool",
- "UserGroup",
- "ClientId"
+ "MetricName"
],
"members": {
- "UserPool": {
- "shape": "CognitoUserPool",
- "documentation": "An identifier for a user pool. The user pool must be in the same region as the service that you are calling.
"
- },
- "UserGroup": {
- "shape": "CognitoUserGroup",
- "documentation": "An identifier for a user group.
"
- },
- "ClientId": {
- "shape": "CognitoClientId",
- "documentation": "An identifier for an application client. You must create the app client ID using Amazon Cognito.
"
+ "MetricName": {
+ "shape": "AutoMLMetricEnum",
+ "documentation": "The name of the metric.
"
}
},
- "documentation": "Identifies a Amazon Cognito user group. A user group can be used in on or more work teams.
"
- },
- "CognitoUserGroup": {
- "type": "string",
- "max": 128,
- "min": 1,
- "pattern": "[\\p{L}\\p{M}\\p{S}\\p{N}\\p{P}]+"
+ "documentation": "Applies a metric to minimize or maximize for the job's objective.
"
},
- "CognitoUserPool": {
+ "AutoMLJobObjectiveType": {
"type": "string",
- "max": 55,
- "min": 1,
- "pattern": "[\\w-]+_[0-9a-zA-Z]+"
+ "enum": [
+ "Maximize",
+ "Minimize"
+ ]
},
- "CompilationJobArn": {
+ "AutoMLJobSecondaryStatus": {
"type": "string",
- "max": 256,
- "pattern": "arn:aws[a-z\\-]*:sagemaker:[a-z0-9\\-]*:[0-9]{12}:compilation-job/.*"
+ "enum": [
+ "Starting",
+ "AnalyzingData",
+ "FeatureEngineering",
+ "ModelTuning",
+ "MaxCandidatesReached",
+ "Failed",
+ "Stopped",
+ "MaxAutoMLJobRuntimeReached",
+ "Stopping",
+ "CandidateDefinitionsGenerated"
+ ]
},
- "CompilationJobStatus": {
+ "AutoMLJobStatus": {
"type": "string",
"enum": [
- "INPROGRESS",
- "COMPLETED",
- "FAILED",
- "STARTING",
- "STOPPING",
- "STOPPED"
+ "Completed",
+ "InProgress",
+ "Failed",
+ "Stopped",
+ "Stopping"
]
},
- "CompilationJobSummaries": {
+ "AutoMLJobSummaries": {
"type": "list",
"member": {
- "shape": "CompilationJobSummary"
+ "shape": "AutoMLJobSummary"
}
},
- "CompilationJobSummary": {
+ "AutoMLJobSummary": {
"type": "structure",
"required": [
- "CompilationJobName",
- "CompilationJobArn",
+ "AutoMLJobName",
+ "AutoMLJobArn",
+ "AutoMLJobStatus",
+ "AutoMLJobSecondaryStatus",
"CreationTime",
- "CompilationTargetDevice",
- "CompilationJobStatus"
+ "LastModifiedTime"
],
"members": {
- "CompilationJobName": {
- "shape": "EntityName",
- "documentation": "The name of the model compilation job that you want a summary for.
"
+ "AutoMLJobName": {
+ "shape": "AutoMLJobName",
+ "documentation": "The name of the object you are requesting.
"
},
- "CompilationJobArn": {
- "shape": "CompilationJobArn",
- "documentation": "The Amazon Resource Name (ARN) of the model compilation job.
"
+ "AutoMLJobArn": {
+ "shape": "AutoMLJobArn",
+ "documentation": "The ARN of the job.
"
},
- "CreationTime": {
- "shape": "CreationTime",
- "documentation": "The time when the model compilation job was created.
"
+ "AutoMLJobStatus": {
+ "shape": "AutoMLJobStatus",
+ "documentation": "The job's status.
"
},
- "CompilationStartTime": {
- "shape": "Timestamp",
- "documentation": "The time when the model compilation job started.
"
+ "AutoMLJobSecondaryStatus": {
+ "shape": "AutoMLJobSecondaryStatus",
+ "documentation": "The job's secondary status.
"
},
- "CompilationEndTime": {
+ "CreationTime": {
"shape": "Timestamp",
- "documentation": "The time when the model compilation job completed.
"
+ "documentation": "When the job was created.
"
},
- "CompilationTargetDevice": {
- "shape": "TargetDevice",
- "documentation": "The type of device that the model will run on after compilation has completed.
"
+ "EndTime": {
+ "shape": "Timestamp",
+ "documentation": "The end time.
"
},
"LastModifiedTime": {
- "shape": "LastModifiedTime",
- "documentation": "The time when the model compilation job was last modified.
"
+ "shape": "Timestamp",
+ "documentation": "When the job was last modified.
"
},
- "CompilationJobStatus": {
- "shape": "CompilationJobStatus",
- "documentation": "The status of the model compilation job.
"
+ "FailureReason": {
+ "shape": "AutoMLFailureReason",
+ "documentation": "The failure reason.
"
}
},
- "documentation": "A summary of a model compilation job.
"
+ "documentation": "Provides a summary about a job.
"
},
- "CompressionType": {
+ "AutoMLMaxResults": {
+ "type": "integer",
+ "max": 100,
+ "min": 1
+ },
+ "AutoMLMetricEnum": {
"type": "string",
"enum": [
- "None",
- "Gzip"
+ "Accuracy",
+ "MSE",
+ "F1",
+ "F1macro"
]
},
- "CompressionTypes": {
- "type": "list",
- "member": {
- "shape": "CompressionType"
- }
+ "AutoMLNameContains": {
+ "type": "string",
+ "max": 63,
+ "pattern": "[a-zA-Z0-9\\-]+"
},
- "ContainerDefinition": {
+ "AutoMLOutputDataConfig": {
"type": "structure",
+ "required": [
+ "S3OutputPath"
+ ],
"members": {
- "ContainerHostname": {
- "shape": "ContainerHostname",
- "documentation": "This parameter is ignored for models that contain only a PrimaryContainer
.
When a ContainerDefinition
is part of an inference pipeline, the value of ths parameter uniquely identifies the container for the purposes of logging and metrics. For information, see Use Logs and Metrics to Monitor an Inference Pipeline. If you don't specify a value for this parameter for a ContainerDefinition
that is part of an inference pipeline, a unique name is automatically assigned based on the position of the ContainerDefinition
in the pipeline. If you specify a value for the ContainerHostName
for any ContainerDefinition
that is part of an inference pipeline, you must specify a value for the ContainerHostName
parameter of every ContainerDefinition
in that pipeline.
"
- },
- "Image": {
- "shape": "Image",
- "documentation": "The Amazon EC2 Container Registry (Amazon ECR) path where inference code is stored. If you are using your own custom algorithm instead of an algorithm provided by Amazon SageMaker, the inference code must meet Amazon SageMaker requirements. Amazon SageMaker supports both registry/repository[:tag]
and registry/repository[@digest]
image path formats. For more information, see Using Your Own Algorithms with Amazon SageMaker
"
+ "KmsKeyId": {
+ "shape": "KmsKeyId",
+ "documentation": "The AWS KMS encryption key ID.
"
},
- "Mode": {
- "shape": "ContainerMode",
- "documentation": "Specifies whether the container hosts a single model or multiple models.
"
+ "S3OutputPath": {
+ "shape": "S3Uri",
+ "documentation": "The Amazon S3 output path. Must be 128 characters or less.
"
+ }
+ },
+ "documentation": "The output data configuration.
"
+ },
+ "AutoMLS3DataSource": {
+ "type": "structure",
+ "required": [
+ "S3DataType",
+ "S3Uri"
+ ],
+ "members": {
+ "S3DataType": {
+ "shape": "AutoMLS3DataType",
+ "documentation": "The data type.
"
},
- "ModelDataUrl": {
- "shape": "Url",
- "documentation": "The S3 path where the model artifacts, which result from model training, are stored. This path must point to a single gzip compressed tar archive (.tar.gz suffix). The S3 path is required for Amazon SageMaker built-in algorithms, but not if you use your own algorithms. For more information on built-in algorithms, see Common Parameters.
If you provide a value for this parameter, Amazon SageMaker uses AWS Security Token Service to download model artifacts from the S3 path you provide. AWS STS is activated in your IAM user account by default. If you previously deactivated AWS STS for a region, you need to reactivate AWS STS for that region. For more information, see Activating and Deactivating AWS STS in an AWS Region in the AWS Identity and Access Management User Guide.
If you use a built-in algorithm to create a model, Amazon SageMaker requires that you provide a S3 path to the model artifacts in ModelDataUrl
.
"
+ "S3Uri": {
+ "shape": "S3Uri",
+ "documentation": "The URL to the Amazon S3 data source.
"
+ }
+ },
+ "documentation": "The Amazon S3 data source.
"
+ },
+ "AutoMLS3DataType": {
+ "type": "string",
+ "enum": [
+ "ManifestFile",
+ "S3Prefix"
+ ]
+ },
+ "AutoMLSecurityConfig": {
+ "type": "structure",
+ "members": {
+ "VolumeKmsKeyId": {
+ "shape": "KmsKeyId",
+ "documentation": "The key used to encrypt stored data.
"
},
- "Environment": {
- "shape": "EnvironmentMap",
- "documentation": "The environment variables to set in the Docker container. Each key and value in the Environment
string to string map can have length of up to 1024. We support up to 16 entries in the map.
"
+ "EnableInterContainerTrafficEncryption": {
+ "shape": "Boolean",
+ "documentation": "Whether to use traffic encryption between the container layers.
"
},
- "ModelPackageName": {
- "shape": "ArnOrName",
- "documentation": "The name or Amazon Resource Name (ARN) of the model package to use to create the model.
"
+ "VpcConfig": {
+ "shape": "VpcConfig",
+ "documentation": "VPC configuration.
"
}
},
- "documentation": "Describes the container, as part of model definition.
"
+ "documentation": "Security options.
"
},
- "ContainerDefinitionList": {
- "type": "list",
- "member": {
- "shape": "ContainerDefinition"
- },
- "max": 5
+ "AutoMLSortBy": {
+ "type": "string",
+ "enum": [
+ "Name",
+ "CreationTime",
+ "Status"
+ ]
},
- "ContainerHostname": {
+ "AutoMLSortOrder": {
"type": "string",
- "max": 63,
- "pattern": "^[a-zA-Z0-9](-*[a-zA-Z0-9])*"
+ "enum": [
+ "Ascending",
+ "Descending"
+ ]
},
- "ContainerMode": {
+ "AwsManagedHumanLoopRequestSource": {
"type": "string",
"enum": [
- "SingleModel",
- "MultiModel"
+ "AWS/Rekognition/DetectModerationLabels/Image/V3",
+ "AWS/Textract/AnalyzeDocument/Forms/V1"
]
},
- "ContentClassifier": {
+ "BatchStrategy": {
"type": "string",
"enum": [
- "FreeOfPersonallyIdentifiableInformation",
- "FreeOfAdultContent"
+ "MultiRecord",
+ "SingleRecord"
]
},
- "ContentClassifiers": {
+ "BillableTimeInSeconds": {
+ "type": "integer",
+ "min": 1
+ },
+ "Boolean": {
+ "type": "boolean"
+ },
+ "BooleanOperator": {
+ "type": "string",
+ "enum": [
+ "And",
+ "Or"
+ ]
+ },
+ "Branch": {
+ "type": "string",
+ "max": 1024,
+ "min": 1,
+ "pattern": "[^ ~^:?*\\[]+"
+ },
+ "CandidateDefinitionNotebookLocation": {
+ "type": "string",
+ "min": 1
+ },
+ "CandidateName": {
+ "type": "string",
+ "max": 64,
+ "min": 1
+ },
+ "CandidateSortBy": {
+ "type": "string",
+ "enum": [
+ "CreationTime",
+ "Status",
+ "FinalObjectiveMetricValue"
+ ]
+ },
+ "CandidateStatus": {
+ "type": "string",
+ "enum": [
+ "Completed",
+ "InProgress",
+ "Failed",
+ "Stopped",
+ "Stopping"
+ ]
+ },
+ "CandidateStepArn": {
+ "type": "string",
+ "max": 256,
+ "min": 1,
+ "pattern": "arn:aws[a-z\\-]*:sagemaker:[a-z0-9\\-]*:[0-9]{12}:.*/.*"
+ },
+ "CandidateStepName": {
+ "type": "string",
+ "max": 64,
+ "min": 1
+ },
+ "CandidateStepType": {
+ "type": "string",
+ "enum": [
+ "AWS::SageMaker::TrainingJob",
+ "AWS::SageMaker::TransformJob",
+ "AWS::SageMaker::ProcessingJob"
+ ]
+ },
+ "CandidateSteps": {
"type": "list",
"member": {
- "shape": "ContentClassifier"
+ "shape": "AutoMLCandidateStep"
+ }
+ },
+ "CaptureContentTypeHeader": {
+ "type": "structure",
+ "members": {
+ "CsvContentTypes": {
+ "shape": "CsvContentTypes",
+ "documentation": ""
+ },
+ "JsonContentTypes": {
+ "shape": "JsonContentTypes",
+ "documentation": ""
+ }
},
- "max": 256
+ "documentation": ""
},
- "ContentType": {
+ "CaptureMode": {
"type": "string",
- "max": 256,
- "pattern": ".*"
+ "enum": [
+ "Input",
+ "Output"
+ ]
},
- "ContentTypes": {
+ "CaptureOption": {
+ "type": "structure",
+ "required": [
+ "CaptureMode"
+ ],
+ "members": {
+ "CaptureMode": {
+ "shape": "CaptureMode",
+ "documentation": ""
+ }
+ },
+ "documentation": ""
+ },
+ "CaptureOptionList": {
"type": "list",
"member": {
- "shape": "ContentType"
- }
+ "shape": "CaptureOption"
+ },
+ "max": 2,
+ "min": 1
},
- "ContinuousParameterRange": {
+ "CaptureStatus": {
+ "type": "string",
+ "enum": [
+ "Started",
+ "Stopped"
+ ]
+ },
+ "CategoricalParameterRange": {
"type": "structure",
"required": [
"Name",
- "MinValue",
- "MaxValue"
+ "Values"
],
"members": {
"Name": {
"shape": "ParameterKey",
- "documentation": "The name of the continuous hyperparameter to tune.
"
- },
- "MinValue": {
- "shape": "ParameterValue",
- "documentation": "The minimum value for the hyperparameter. The tuning job uses floating-point values between this value and MaxValue
for tuning.
"
- },
- "MaxValue": {
- "shape": "ParameterValue",
- "documentation": "The maximum value for the hyperparameter. The tuning job uses floating-point values between MinValue
value and this value for tuning.
"
+ "documentation": "The name of the categorical hyperparameter to tune.
"
},
- "ScalingType": {
- "shape": "HyperParameterScalingType",
- "documentation": "The scale that hyperparameter tuning uses to search the hyperparameter range. For information about choosing a hyperparameter scale, see Hyperparameter Scaling. One of the following values:
- Auto
-
Amazon SageMaker hyperparameter tuning chooses the best scale for the hyperparameter.
- Linear
-
Hyperparameter tuning searches the values in the hyperparameter range by using a linear scale.
- Logarithmic
-
Hyperparameter tuning searches the values in the hyperparameter range by using a logarithmic scale.
Logarithmic scaling works only for ranges that have only values greater than 0.
- ReverseLogarithmic
-
Hyperparameter tuning searches the values in the hyperparameter range by using a reverse logarithmic scale.
Reverse logarithmic scaling works only for ranges that are entirely within the range 0<=x<1.0.
"
+ "Values": {
+ "shape": "ParameterValues",
+ "documentation": "A list of the categories for the hyperparameter.
"
}
},
- "documentation": "A list of continuous hyperparameters to tune.
"
+ "documentation": "A list of categorical hyperparameters to tune.
"
},
- "ContinuousParameterRangeSpecification": {
+ "CategoricalParameterRangeSpecification": {
"type": "structure",
"required": [
- "MinValue",
- "MaxValue"
+ "Values"
],
"members": {
- "MinValue": {
- "shape": "ParameterValue",
- "documentation": "The minimum floating-point value allowed.
"
- },
- "MaxValue": {
- "shape": "ParameterValue",
- "documentation": "The maximum floating-point value allowed.
"
+ "Values": {
+ "shape": "ParameterValues",
+ "documentation": "The allowed categories for the hyperparameter.
"
}
},
- "documentation": "Defines the possible values for a continuous hyperparameter.
"
+ "documentation": "Defines the possible values for a categorical hyperparameter.
"
},
- "ContinuousParameterRanges": {
+ "CategoricalParameterRanges": {
"type": "list",
"member": {
- "shape": "ContinuousParameterRange"
+ "shape": "CategoricalParameterRange"
},
"max": 20,
"min": 0
},
- "CreateAlgorithmInput": {
+ "Cents": {
+ "type": "integer",
+ "max": 99,
+ "min": 0
+ },
+ "CertifyForMarketplace": {
+ "type": "boolean"
+ },
+ "Channel": {
"type": "structure",
"required": [
- "AlgorithmName",
- "TrainingSpecification"
+ "ChannelName",
+ "DataSource"
],
"members": {
- "AlgorithmName": {
- "shape": "EntityName",
- "documentation": "The name of the algorithm.
"
- },
- "AlgorithmDescription": {
- "shape": "EntityDescription",
- "documentation": "A description of the algorithm.
"
+ "ChannelName": {
+ "shape": "ChannelName",
+ "documentation": "The name of the channel.
"
},
- "TrainingSpecification": {
- "shape": "TrainingSpecification",
- "documentation": "Specifies details about training jobs run by this algorithm, including the following:
-
The Amazon ECR path of the container and the version digest of the algorithm.
-
The hyperparameters that the algorithm supports.
-
The instance types that the algorithm supports for training.
-
Whether the algorithm supports distributed training.
-
The metrics that the algorithm emits to Amazon CloudWatch.
-
Which metrics that the algorithm emits can be used as the objective metric for hyperparameter tuning jobs.
-
The input channels that the algorithm supports for training data. For example, an algorithm might support train
, validation
, and test
channels.
"
+ "DataSource": {
+ "shape": "DataSource",
+ "documentation": "The location of the channel data.
"
},
- "InferenceSpecification": {
- "shape": "InferenceSpecification",
- "documentation": "Specifies details about inference jobs that the algorithm runs, including the following:
-
The Amazon ECR paths of containers that contain the inference code and model artifacts.
-
The instance types that the algorithm supports for transform jobs and real-time endpoints used for inference.
-
The input and output content formats that the algorithm supports for inference.
"
+ "ContentType": {
+ "shape": "ContentType",
+ "documentation": "The MIME type of the data.
"
},
- "ValidationSpecification": {
- "shape": "AlgorithmValidationSpecification",
- "documentation": "Specifies configurations for one or more training jobs and that Amazon SageMaker runs to test the algorithm's training code and, optionally, one or more batch transform jobs that Amazon SageMaker runs to test the algorithm's inference code.
"
+ "CompressionType": {
+ "shape": "CompressionType",
+ "documentation": "If training data is compressed, the compression type. The default value is None
. CompressionType
is used only in Pipe input mode. In File mode, leave this field unset or set it to None.
"
},
- "CertifyForMarketplace": {
- "shape": "CertifyForMarketplace",
- "documentation": "Whether to certify the algorithm so that it can be listed in AWS Marketplace.
"
+ "RecordWrapperType": {
+ "shape": "RecordWrapper",
+ "documentation": " Specify RecordIO as the value when input data is in raw format but the training algorithm requires the RecordIO format. In this case, Amazon SageMaker wraps each individual S3 object in a RecordIO record. If the input data is already in RecordIO format, you don't need to set this attribute. For more information, see Create a Dataset Using RecordIO.
In File mode, leave this field unset or set it to None.
"
+ },
+ "InputMode": {
+ "shape": "TrainingInputMode",
+ "documentation": "(Optional) The input mode to use for the data channel in a training job. If you don't set a value for InputMode
, Amazon SageMaker uses the value set for TrainingInputMode
. Use this parameter to override the TrainingInputMode
setting in a AlgorithmSpecification request when you have a channel that needs a different input mode from the training job's general setting. To download the data from Amazon Simple Storage Service (Amazon S3) to the provisioned ML storage volume, and mount the directory to a Docker volume, use File
input mode. To stream data directly from Amazon S3 to the container, choose Pipe
input mode.
To use a model for incremental training, choose File
input model.
"
+ },
+ "ShuffleConfig": {
+ "shape": "ShuffleConfig",
+ "documentation": "A configuration for a shuffle option for input data in a channel. If you use S3Prefix
for S3DataType
, this shuffles the results of the S3 key prefix matches. If you use ManifestFile
, the order of the S3 object references in the ManifestFile
is shuffled. If you use AugmentedManifestFile
, the order of the JSON lines in the AugmentedManifestFile
is shuffled. The shuffling order is determined using the Seed
value.
For Pipe input mode, shuffling is done at the start of every epoch. With large datasets this ensures that the order of the training data is different for each epoch, it helps reduce bias and possible overfitting. In a multi-node training job when ShuffleConfig is combined with S3DataDistributionType
of ShardedByS3Key
, the data is shuffled across nodes so that the content sent to a particular node on the first epoch might be sent to a different node on the second epoch.
"
}
- }
+ },
+ "documentation": "A channel is a named input source that training algorithms can consume.
"
},
- "CreateAlgorithmOutput": {
- "type": "structure",
- "required": [
- "AlgorithmArn"
- ],
- "members": {
- "AlgorithmArn": {
- "shape": "AlgorithmArn",
- "documentation": "The Amazon Resource Name (ARN) of the new algorithm.
"
- }
- }
+ "ChannelName": {
+ "type": "string",
+ "max": 64,
+ "min": 1,
+ "pattern": "[A-Za-z0-9\\.\\-_]+"
},
- "CreateCodeRepositoryInput": {
+ "ChannelSpecification": {
"type": "structure",
"required": [
- "CodeRepositoryName",
- "GitConfig"
+ "Name",
+ "SupportedContentTypes",
+ "SupportedInputModes"
],
"members": {
- "CodeRepositoryName": {
- "shape": "EntityName",
- "documentation": "The name of the Git repository. The name must have 1 to 63 characters. Valid characters are a-z, A-Z, 0-9, and - (hyphen).
"
+ "Name": {
+ "shape": "ChannelName",
+ "documentation": "The name of the channel.
"
},
- "GitConfig": {
- "shape": "GitConfig",
- "documentation": "Specifies details about the repository, including the URL where the repository is located, the default branch, and credentials to use to access the repository.
"
+ "Description": {
+ "shape": "EntityDescription",
+ "documentation": "A brief description of the channel.
"
+ },
+ "IsRequired": {
+ "shape": "Boolean",
+ "documentation": "Indicates whether the channel is required by the algorithm.
"
+ },
+ "SupportedContentTypes": {
+ "shape": "ContentTypes",
+ "documentation": "The supported MIME types for the data.
"
+ },
+ "SupportedCompressionTypes": {
+ "shape": "CompressionTypes",
+ "documentation": "The allowed compression types, if data compression is used.
"
+ },
+ "SupportedInputModes": {
+ "shape": "InputModes",
+ "documentation": "The allowed input mode, either FILE or PIPE.
In FILE mode, Amazon SageMaker copies the data from the input source onto the local Amazon Elastic Block Store (Amazon EBS) volumes before starting your training algorithm. This is the most commonly used input mode.
In PIPE mode, Amazon SageMaker streams input data from the source directly to your algorithm without using the EBS volume.
"
}
- }
+ },
+ "documentation": "Defines a named input source, called a channel, to be used by an algorithm.
"
},
- "CreateCodeRepositoryOutput": {
+ "ChannelSpecifications": {
+ "type": "list",
+ "member": {
+ "shape": "ChannelSpecification"
+ },
+ "max": 8,
+ "min": 1
+ },
+ "CheckpointConfig": {
"type": "structure",
"required": [
- "CodeRepositoryArn"
+ "S3Uri"
],
"members": {
- "CodeRepositoryArn": {
- "shape": "CodeRepositoryArn",
- "documentation": "The Amazon Resource Name (ARN) of the new repository.
"
+ "S3Uri": {
+ "shape": "S3Uri",
+ "documentation": "Identifies the S3 path where you want Amazon SageMaker to store checkpoints. For example, s3://bucket-name/key-name-prefix
.
"
+ },
+ "LocalPath": {
+ "shape": "DirectoryPath",
+ "documentation": "(Optional) The local directory where checkpoints are written. The default directory is /opt/ml/checkpoints/
.
"
}
- }
+ },
+ "documentation": "Contains information about the output location for managed spot training checkpoint data.
"
},
- "CreateCompilationJobRequest": {
+ "CodeRepositoryArn": {
+ "type": "string",
+ "max": 2048,
+ "min": 1,
+ "pattern": "arn:aws[a-z\\-]*:sagemaker:[a-z0-9\\-]*:[0-9]{12}:code-repository/.*"
+ },
+ "CodeRepositoryContains": {
+ "type": "string",
+ "max": 1024,
+ "pattern": "[a-zA-Z0-9-]+"
+ },
+ "CodeRepositoryNameContains": {
+ "type": "string",
+ "max": 63,
+ "pattern": "[a-zA-Z0-9-]+"
+ },
+ "CodeRepositoryNameOrUrl": {
+ "type": "string",
+ "max": 1024,
+ "min": 1,
+ "pattern": "^https://([^/]+)/?(.*)$|^[a-zA-Z0-9](-*[a-zA-Z0-9])*"
+ },
+ "CodeRepositorySortBy": {
+ "type": "string",
+ "enum": [
+ "Name",
+ "CreationTime",
+ "LastModifiedTime"
+ ]
+ },
+ "CodeRepositorySortOrder": {
+ "type": "string",
+ "enum": [
+ "Ascending",
+ "Descending"
+ ]
+ },
+ "CodeRepositorySummary": {
"type": "structure",
"required": [
- "CompilationJobName",
- "RoleArn",
- "InputConfig",
- "OutputConfig",
- "StoppingCondition"
+ "CodeRepositoryName",
+ "CodeRepositoryArn",
+ "CreationTime",
+ "LastModifiedTime"
],
"members": {
- "CompilationJobName": {
+ "CodeRepositoryName": {
"shape": "EntityName",
- "documentation": "A name for the model compilation job. The name must be unique within the AWS Region and within your AWS account.
"
+ "documentation": "The name of the Git repository.
"
},
- "RoleArn": {
- "shape": "RoleArn",
- "documentation": "The Amazon Resource Name (ARN) of an IAM role that enables Amazon SageMaker to perform tasks on your behalf.
During model compilation, Amazon SageMaker needs your permission to:
-
Read input data from an S3 bucket
-
Write model artifacts to an S3 bucket
-
Write logs to Amazon CloudWatch Logs
-
Publish metrics to Amazon CloudWatch
You grant permissions for all of these tasks to an IAM role. To pass this role to Amazon SageMaker, the caller of this API must have the iam:PassRole
permission. For more information, see Amazon SageMaker Roles.
"
+ "CodeRepositoryArn": {
+ "shape": "CodeRepositoryArn",
+ "documentation": "The Amazon Resource Name (ARN) of the Git repository.
"
},
- "InputConfig": {
- "shape": "InputConfig",
- "documentation": "Provides information about the location of input model artifacts, the name and shape of the expected data inputs, and the framework in which the model was trained.
"
+ "CreationTime": {
+ "shape": "CreationTime",
+ "documentation": "The date and time that the Git repository was created.
"
},
- "OutputConfig": {
- "shape": "OutputConfig",
- "documentation": "Provides information about the output location for the compiled model and the target device the model runs on.
"
+ "LastModifiedTime": {
+ "shape": "LastModifiedTime",
+ "documentation": "The date and time that the Git repository was last modified.
"
},
- "StoppingCondition": {
- "shape": "StoppingCondition",
- "documentation": "Specifies a limit to how long a model compilation job can run. When the job reaches the time limit, Amazon SageMaker ends the compilation job. Use this API to cap model training costs.
"
+ "GitConfig": {
+ "shape": "GitConfig",
+ "documentation": "Configuration details for the Git repository, including the URL where it is located and the ARN of the AWS Secrets Manager secret that contains the credentials used to access the repository.
"
}
- }
+ },
+ "documentation": "Specifies summary information about a Git repository.
"
},
- "CreateCompilationJobResponse": {
- "type": "structure",
- "required": [
- "CompilationJobArn"
- ],
- "members": {
- "CompilationJobArn": {
- "shape": "CompilationJobArn",
- "documentation": "If the action is successful, the service sends back an HTTP 200 response. Amazon SageMaker returns the following data in JSON format:
"
- }
+ "CodeRepositorySummaryList": {
+ "type": "list",
+ "member": {
+ "shape": "CodeRepositorySummary"
}
},
- "CreateEndpointConfigInput": {
+ "CognitoClientId": {
+ "type": "string",
+ "max": 128,
+ "min": 1,
+ "pattern": "[\\w+]+"
+ },
+ "CognitoMemberDefinition": {
"type": "structure",
"required": [
- "EndpointConfigName",
- "ProductionVariants"
+ "UserPool",
+ "UserGroup",
+ "ClientId"
],
"members": {
- "EndpointConfigName": {
- "shape": "EndpointConfigName",
- "documentation": "The name of the endpoint configuration. You specify this name in a CreateEndpoint request.
"
- },
- "ProductionVariants": {
- "shape": "ProductionVariantList",
- "documentation": "An list of ProductionVariant
objects, one for each model that you want to host at this endpoint.
"
+ "UserPool": {
+ "shape": "CognitoUserPool",
+ "documentation": "An identifier for a user pool. The user pool must be in the same region as the service that you are calling.
"
},
- "Tags": {
- "shape": "TagList",
- "documentation": "A list of key-value pairs. For more information, see Using Cost Allocation Tags in the AWS Billing and Cost Management User Guide.
"
+ "UserGroup": {
+ "shape": "CognitoUserGroup",
+ "documentation": "An identifier for a user group.
"
},
- "KmsKeyId": {
- "shape": "KmsKeyId",
- "documentation": "The Amazon Resource Name (ARN) of a AWS Key Management Service key that Amazon SageMaker uses to encrypt data on the storage volume attached to the ML compute instance that hosts the endpoint.
Certain Nitro-based instances include local storage, dependent on the instance type. Local storage volumes are encrypted using a hardware module on the instance. You can't request a KmsKeyId
when using an instance type with local storage. If any of the models that you specify in the ProductionVariants
parameter use nitro-based instances with local storage, do not specify a value for the KmsKeyId
parameter. If you specify a value for KmsKeyId
when using any nitro-based instances with local storage, the call to CreateEndpointConfig
fails.
For a list of instance types that support local instance storage, see Instance Store Volumes.
For more information about local instance storage encryption, see SSD Instance Store Volumes.
"
+ "ClientId": {
+ "shape": "CognitoClientId",
+ "documentation": "An identifier for an application client. You must create the app client ID using Amazon Cognito.
"
}
- }
+ },
+ "documentation": "Identifies a Amazon Cognito user group. A user group can be used in on or more work teams.
"
},
- "CreateEndpointConfigOutput": {
+ "CognitoUserGroup": {
+ "type": "string",
+ "max": 128,
+ "min": 1,
+ "pattern": "[\\p{L}\\p{M}\\p{S}\\p{N}\\p{P}]+"
+ },
+ "CognitoUserPool": {
+ "type": "string",
+ "max": 55,
+ "min": 1,
+ "pattern": "[\\w-]+_[0-9a-zA-Z]+"
+ },
+ "CollectionConfiguration": {
"type": "structure",
- "required": [
- "EndpointConfigArn"
- ],
"members": {
- "EndpointConfigArn": {
- "shape": "EndpointConfigArn",
- "documentation": "The Amazon Resource Name (ARN) of the endpoint configuration.
"
+ "CollectionName": {
+ "shape": "CollectionName",
+ "documentation": "The name of the tensor collection.
"
+ },
+ "CollectionParameters": {
+ "shape": "CollectionParameters",
+ "documentation": "Parameter values for the tensor collection. The allowed parameters are \"name\"
, \"include_regex\"
, \"reduction_config\"
, \"save_config\"
, \"tensor_names\"
, and \"save_histogram\"
.
"
}
+ },
+ "documentation": "Configuration information for tensor collections.
"
+ },
+ "CollectionConfigurations": {
+ "type": "list",
+ "member": {
+ "shape": "CollectionConfiguration"
+ },
+ "max": 20,
+ "min": 0
+ },
+ "CollectionName": {
+ "type": "string",
+ "max": 256,
+ "min": 1,
+ "pattern": ".*"
+ },
+ "CollectionParameters": {
+ "type": "map",
+ "key": {
+ "shape": "ConfigKey"
+ },
+ "value": {
+ "shape": "ConfigValue"
+ },
+ "max": 20,
+ "min": 0
+ },
+ "CompilationJobArn": {
+ "type": "string",
+ "max": 256,
+ "pattern": "arn:aws[a-z\\-]*:sagemaker:[a-z0-9\\-]*:[0-9]{12}:compilation-job/.*"
+ },
+ "CompilationJobStatus": {
+ "type": "string",
+ "enum": [
+ "INPROGRESS",
+ "COMPLETED",
+ "FAILED",
+ "STARTING",
+ "STOPPING",
+ "STOPPED"
+ ]
+ },
+ "CompilationJobSummaries": {
+ "type": "list",
+ "member": {
+ "shape": "CompilationJobSummary"
}
},
- "CreateEndpointInput": {
+ "CompilationJobSummary": {
"type": "structure",
"required": [
- "EndpointName",
- "EndpointConfigName"
+ "CompilationJobName",
+ "CompilationJobArn",
+ "CreationTime",
+ "CompilationTargetDevice",
+ "CompilationJobStatus"
],
"members": {
- "EndpointName": {
- "shape": "EndpointName",
- "documentation": "The name of the endpoint. The name must be unique within an AWS Region in your AWS account.
"
+ "CompilationJobName": {
+ "shape": "EntityName",
+ "documentation": "The name of the model compilation job that you want a summary for.
"
},
- "EndpointConfigName": {
- "shape": "EndpointConfigName",
- "documentation": "The name of an endpoint configuration. For more information, see CreateEndpointConfig.
"
+ "CompilationJobArn": {
+ "shape": "CompilationJobArn",
+ "documentation": "The Amazon Resource Name (ARN) of the model compilation job.
"
},
- "Tags": {
- "shape": "TagList",
- "documentation": "An array of key-value pairs. For more information, see Using Cost Allocation Tagsin the AWS Billing and Cost Management User Guide.
"
+ "CreationTime": {
+ "shape": "CreationTime",
+ "documentation": "The time when the model compilation job was created.
"
+ },
+ "CompilationStartTime": {
+ "shape": "Timestamp",
+ "documentation": "The time when the model compilation job started.
"
+ },
+ "CompilationEndTime": {
+ "shape": "Timestamp",
+ "documentation": "The time when the model compilation job completed.
"
+ },
+ "CompilationTargetDevice": {
+ "shape": "TargetDevice",
+ "documentation": "The type of device that the model will run on after compilation has completed.
"
+ },
+ "LastModifiedTime": {
+ "shape": "LastModifiedTime",
+ "documentation": "The time when the model compilation job was last modified.
"
+ },
+ "CompilationJobStatus": {
+ "shape": "CompilationJobStatus",
+ "documentation": "The status of the model compilation job.
"
}
- }
+ },
+ "documentation": "A summary of a model compilation job.
"
},
- "CreateEndpointOutput": {
- "type": "structure",
- "required": [
- "EndpointArn"
- ],
- "members": {
- "EndpointArn": {
- "shape": "EndpointArn",
- "documentation": "The Amazon Resource Name (ARN) of the endpoint.
"
- }
+ "CompressionType": {
+ "type": "string",
+ "enum": [
+ "None",
+ "Gzip"
+ ]
+ },
+ "CompressionTypes": {
+ "type": "list",
+ "member": {
+ "shape": "CompressionType"
}
},
- "CreateHyperParameterTuningJobRequest": {
+ "ConfigKey": {
+ "type": "string",
+ "max": 256,
+ "min": 1,
+ "pattern": ".*"
+ },
+ "ConfigValue": {
+ "type": "string",
+ "max": 256,
+ "pattern": ".*"
+ },
+ "ContainerArgument": {
+ "type": "string",
+ "max": 256,
+ "pattern": ".*"
+ },
+ "ContainerArguments": {
+ "type": "list",
+ "member": {
+ "shape": "ContainerArgument"
+ },
+ "max": 100,
+ "min": 1
+ },
+ "ContainerDefinition": {
"type": "structure",
- "required": [
- "HyperParameterTuningJobName",
- "HyperParameterTuningJobConfig"
- ],
"members": {
- "HyperParameterTuningJobName": {
- "shape": "HyperParameterTuningJobName",
- "documentation": "The name of the tuning job. This name is the prefix for the names of all training jobs that this tuning job launches. The name must be unique within the same AWS account and AWS Region. The name must have { } to { } characters. Valid characters are a-z, A-Z, 0-9, and : + = @ _ % - (hyphen). The name is not case sensitive.
"
+ "ContainerHostname": {
+ "shape": "ContainerHostname",
+ "documentation": "This parameter is ignored for models that contain only a PrimaryContainer
.
When a ContainerDefinition
is part of an inference pipeline, the value of the parameter uniquely identifies the container for the purposes of logging and metrics. For information, see Use Logs and Metrics to Monitor an Inference Pipeline. If you don't specify a value for this parameter for a ContainerDefinition
that is part of an inference pipeline, a unique name is automatically assigned based on the position of the ContainerDefinition
in the pipeline. If you specify a value for the ContainerHostName
for any ContainerDefinition
that is part of an inference pipeline, you must specify a value for the ContainerHostName
parameter of every ContainerDefinition
in that pipeline.
"
},
- "HyperParameterTuningJobConfig": {
- "shape": "HyperParameterTuningJobConfig",
- "documentation": "The HyperParameterTuningJobConfig object that describes the tuning job, including the search strategy, the objective metric used to evaluate training jobs, ranges of parameters to search, and resource limits for the tuning job. For more information, see automatic-model-tuning
"
+ "Image": {
+ "shape": "Image",
+ "documentation": "The Amazon EC2 Container Registry (Amazon ECR) path where inference code is stored. If you are using your own custom algorithm instead of an algorithm provided by Amazon SageMaker, the inference code must meet Amazon SageMaker requirements. Amazon SageMaker supports both registry/repository[:tag]
and registry/repository[@digest]
image path formats. For more information, see Using Your Own Algorithms with Amazon SageMaker
"
},
- "TrainingJobDefinition": {
- "shape": "HyperParameterTrainingJobDefinition",
- "documentation": "The HyperParameterTrainingJobDefinition object that describes the training jobs that this tuning job launches, including static hyperparameters, input data configuration, output data configuration, resource configuration, and stopping condition.
"
+ "Mode": {
+ "shape": "ContainerMode",
+ "documentation": "Whether the container hosts a single model or multiple models.
"
},
- "WarmStartConfig": {
- "shape": "HyperParameterTuningJobWarmStartConfig",
- "documentation": "Specifies the configuration for starting the hyperparameter tuning job using one or more previous tuning jobs as a starting point. The results of previous tuning jobs are used to inform which combinations of hyperparameters to search over in the new tuning job.
All training jobs launched by the new hyperparameter tuning job are evaluated by using the objective metric. If you specify IDENTICAL_DATA_AND_ALGORITHM
as the WarmStartType
value for the warm start configuration, the training job that performs the best in the new tuning job is compared to the best training jobs from the parent tuning jobs. From these, the training job that performs the best as measured by the objective metric is returned as the overall best training job.
All training jobs launched by parent hyperparameter tuning jobs and the new hyperparameter tuning jobs count against the limit of training jobs for the tuning job.
"
+ "ModelDataUrl": {
+ "shape": "Url",
+ "documentation": "The S3 path where the model artifacts, which result from model training, are stored. This path must point to a single gzip compressed tar archive (.tar.gz suffix). The S3 path is required for Amazon SageMaker built-in algorithms, but not if you use your own algorithms. For more information on built-in algorithms, see Common Parameters.
If you provide a value for this parameter, Amazon SageMaker uses AWS Security Token Service to download model artifacts from the S3 path you provide. AWS STS is activated in your IAM user account by default. If you previously deactivated AWS STS for a region, you need to reactivate AWS STS for that region. For more information, see Activating and Deactivating AWS STS in an AWS Region in the AWS Identity and Access Management User Guide.
If you use a built-in algorithm to create a model, Amazon SageMaker requires that you provide a S3 path to the model artifacts in ModelDataUrl
.
"
},
- "Tags": {
- "shape": "TagList",
- "documentation": "An array of key-value pairs. You can use tags to categorize your AWS resources in different ways, for example, by purpose, owner, or environment. For more information, see AWS Tagging Strategies.
Tags that you specify for the tuning job are also added to all training jobs that the tuning job launches.
"
+ "Environment": {
+ "shape": "EnvironmentMap",
+ "documentation": "The environment variables to set in the Docker container. Each key and value in the Environment
string to string map can have length of up to 1024. We support up to 16 entries in the map.
"
+ },
+ "ModelPackageName": {
+ "shape": "ArnOrName",
+ "documentation": "The name or Amazon Resource Name (ARN) of the model package to use to create the model.
"
}
+ },
+ "documentation": "Describes the container, as part of model definition.
"
+ },
+ "ContainerDefinitionList": {
+ "type": "list",
+ "member": {
+ "shape": "ContainerDefinition"
+ },
+ "max": 5
+ },
+ "ContainerEntrypoint": {
+ "type": "list",
+ "member": {
+ "shape": "ContainerEntrypointString"
+ },
+ "max": 100,
+ "min": 1
+ },
+ "ContainerEntrypointString": {
+ "type": "string",
+ "max": 256,
+ "pattern": ".*"
+ },
+ "ContainerHostname": {
+ "type": "string",
+ "max": 63,
+ "pattern": "^[a-zA-Z0-9](-*[a-zA-Z0-9])*"
+ },
+ "ContainerMode": {
+ "type": "string",
+ "enum": [
+ "SingleModel",
+ "MultiModel"
+ ]
+ },
+ "ContentClassifier": {
+ "type": "string",
+ "enum": [
+ "FreeOfPersonallyIdentifiableInformation",
+ "FreeOfAdultContent"
+ ]
+ },
+ "ContentClassifiers": {
+ "type": "list",
+ "member": {
+ "shape": "ContentClassifier"
+ },
+ "max": 256
+ },
+ "ContentType": {
+ "type": "string",
+ "max": 256,
+ "pattern": ".*"
+ },
+ "ContentTypes": {
+ "type": "list",
+ "member": {
+ "shape": "ContentType"
}
},
- "CreateHyperParameterTuningJobResponse": {
+ "ContinuousParameterRange": {
"type": "structure",
"required": [
- "HyperParameterTuningJobArn"
+ "Name",
+ "MinValue",
+ "MaxValue"
],
"members": {
- "HyperParameterTuningJobArn": {
- "shape": "HyperParameterTuningJobArn",
- "documentation": "The Amazon Resource Name (ARN) of the tuning job. Amazon SageMaker assigns an ARN to a hyperparameter tuning job when you create it.
"
+ "Name": {
+ "shape": "ParameterKey",
+ "documentation": "The name of the continuous hyperparameter to tune.
"
+ },
+ "MinValue": {
+ "shape": "ParameterValue",
+ "documentation": "The minimum value for the hyperparameter. The tuning job uses floating-point values between this value and MaxValue
for tuning.
"
+ },
+ "MaxValue": {
+ "shape": "ParameterValue",
+ "documentation": "The maximum value for the hyperparameter. The tuning job uses floating-point values between MinValue
value and this value for tuning.
"
+ },
+ "ScalingType": {
+ "shape": "HyperParameterScalingType",
+ "documentation": "The scale that hyperparameter tuning uses to search the hyperparameter range. For information about choosing a hyperparameter scale, see Hyperparameter Scaling. One of the following values:
- Auto
-
Amazon SageMaker hyperparameter tuning chooses the best scale for the hyperparameter.
- Linear
-
Hyperparameter tuning searches the values in the hyperparameter range by using a linear scale.
- Logarithmic
-
Hyperparameter tuning searches the values in the hyperparameter range by using a logarithmic scale.
Logarithmic scaling works only for ranges that have only values greater than 0.
- ReverseLogarithmic
-
Hyperparameter tuning searches the values in the hyperparameter range by using a reverse logarithmic scale.
Reverse logarithmic scaling works only for ranges that are entirely within the range 0<=x<1.0.
"
}
- }
+ },
+ "documentation": "A list of continuous hyperparameters to tune.
"
},
- "CreateLabelingJobRequest": {
+ "ContinuousParameterRangeSpecification": {
"type": "structure",
"required": [
- "LabelingJobName",
- "LabelAttributeName",
- "InputConfig",
- "OutputConfig",
- "RoleArn",
- "HumanTaskConfig"
+ "MinValue",
+ "MaxValue"
],
"members": {
- "LabelingJobName": {
- "shape": "LabelingJobName",
- "documentation": "The name of the labeling job. This name is used to identify the job in a list of labeling jobs.
"
- },
- "LabelAttributeName": {
- "shape": "LabelAttributeName",
- "documentation": "The attribute name to use for the label in the output manifest file. This is the key for the key/value pair formed with the label that a worker assigns to the object. The name can't end with \"-metadata\". If you are running a semantic segmentation labeling job, the attribute name must end with \"-ref\". If you are running any other kind of labeling job, the attribute name must not end with \"-ref\".
"
- },
- "InputConfig": {
- "shape": "LabelingJobInputConfig",
- "documentation": "Input data for the labeling job, such as the Amazon S3 location of the data objects and the location of the manifest file that describes the data objects.
"
- },
- "OutputConfig": {
- "shape": "LabelingJobOutputConfig",
- "documentation": "The location of the output data and the AWS Key Management Service key ID for the key used to encrypt the output data, if any.
"
- },
- "RoleArn": {
- "shape": "RoleArn",
- "documentation": "The Amazon Resource Number (ARN) that Amazon SageMaker assumes to perform tasks on your behalf during data labeling. You must grant this role the necessary permissions so that Amazon SageMaker can successfully complete data labeling.
"
- },
- "LabelCategoryConfigS3Uri": {
- "shape": "S3Uri",
- "documentation": "The S3 URL of the file that defines the categories used to label the data objects.
The file is a JSON structure in the following format:
{
\"document-version\": \"2018-11-28\"
\"labels\": [
{
\"label\": \"label 1\"
},
{
\"label\": \"label 2\"
},
...
{
\"label\": \"label n\"
}
]
}
"
- },
- "StoppingConditions": {
- "shape": "LabelingJobStoppingConditions",
- "documentation": "A set of conditions for stopping the labeling job. If any of the conditions are met, the job is automatically stopped. You can use these conditions to control the cost of data labeling.
"
- },
- "LabelingJobAlgorithmsConfig": {
- "shape": "LabelingJobAlgorithmsConfig",
- "documentation": "Configures the information required to perform automated data labeling.
"
- },
- "HumanTaskConfig": {
- "shape": "HumanTaskConfig",
- "documentation": "Configures the information required for human workers to complete a labeling task.
"
+ "MinValue": {
+ "shape": "ParameterValue",
+ "documentation": "The minimum floating-point value allowed.
"
},
- "Tags": {
- "shape": "TagList",
- "documentation": "An array of key/value pairs. For more information, see Using Cost Allocation Tags in the AWS Billing and Cost Management User Guide.
"
+ "MaxValue": {
+ "shape": "ParameterValue",
+ "documentation": "The maximum floating-point value allowed.
"
}
- }
+ },
+ "documentation": "Defines the possible values for a continuous hyperparameter.
"
},
- "CreateLabelingJobResponse": {
- "type": "structure",
- "required": [
- "LabelingJobArn"
- ],
- "members": {
- "LabelingJobArn": {
- "shape": "LabelingJobArn",
- "documentation": "The Amazon Resource Name (ARN) of the labeling job. You use this ARN to identify the labeling job.
"
- }
- }
+ "ContinuousParameterRanges": {
+ "type": "list",
+ "member": {
+ "shape": "ContinuousParameterRange"
+ },
+ "max": 20,
+ "min": 0
},
- "CreateModelInput": {
+ "CreateAlgorithmInput": {
"type": "structure",
"required": [
- "ModelName",
- "ExecutionRoleArn"
+ "AlgorithmName",
+ "TrainingSpecification"
],
"members": {
- "ModelName": {
- "shape": "ModelName",
- "documentation": "The name of the new model.
"
- },
- "PrimaryContainer": {
- "shape": "ContainerDefinition",
- "documentation": "The location of the primary docker image containing inference code, associated artifacts, and custom environment map that the inference code uses when the model is deployed for predictions.
"
+ "AlgorithmName": {
+ "shape": "EntityName",
+ "documentation": "The name of the algorithm.
"
},
- "Containers": {
- "shape": "ContainerDefinitionList",
- "documentation": "Specifies the containers in the inference pipeline.
"
+ "AlgorithmDescription": {
+ "shape": "EntityDescription",
+ "documentation": "A description of the algorithm.
"
},
- "ExecutionRoleArn": {
- "shape": "RoleArn",
- "documentation": "The Amazon Resource Name (ARN) of the IAM role that Amazon SageMaker can assume to access model artifacts and docker image for deployment on ML compute instances or for batch transform jobs. Deploying on ML compute instances is part of model hosting. For more information, see Amazon SageMaker Roles.
To be able to pass this role to Amazon SageMaker, the caller of this API must have the iam:PassRole
permission.
"
+ "TrainingSpecification": {
+ "shape": "TrainingSpecification",
+ "documentation": "Specifies details about training jobs run by this algorithm, including the following:
-
The Amazon ECR path of the container and the version digest of the algorithm.
-
The hyperparameters that the algorithm supports.
-
The instance types that the algorithm supports for training.
-
Whether the algorithm supports distributed training.
-
The metrics that the algorithm emits to Amazon CloudWatch.
-
Which metrics that the algorithm emits can be used as the objective metric for hyperparameter tuning jobs.
-
The input channels that the algorithm supports for training data. For example, an algorithm might support train
, validation
, and test
channels.
"
},
- "Tags": {
- "shape": "TagList",
- "documentation": "An array of key-value pairs. For more information, see Using Cost Allocation Tags in the AWS Billing and Cost Management User Guide.
"
+ "InferenceSpecification": {
+ "shape": "InferenceSpecification",
+ "documentation": "Specifies details about inference jobs that the algorithm runs, including the following:
-
The Amazon ECR paths of containers that contain the inference code and model artifacts.
-
The instance types that the algorithm supports for transform jobs and real-time endpoints used for inference.
-
The input and output content formats that the algorithm supports for inference.
"
},
- "VpcConfig": {
- "shape": "VpcConfig",
- "documentation": "A VpcConfig object that specifies the VPC that you want your model to connect to. Control access to and from your model container by configuring the VPC. VpcConfig
is used in hosting services and in batch transform. For more information, see Protect Endpoints by Using an Amazon Virtual Private Cloud and Protect Data in Batch Transform Jobs by Using an Amazon Virtual Private Cloud.
"
+ "ValidationSpecification": {
+ "shape": "AlgorithmValidationSpecification",
+ "documentation": "Specifies configurations for one or more training jobs and that Amazon SageMaker runs to test the algorithm's training code and, optionally, one or more batch transform jobs that Amazon SageMaker runs to test the algorithm's inference code.
"
},
- "EnableNetworkIsolation": {
- "shape": "Boolean",
- "documentation": "Isolates the model container. No inbound or outbound network calls can be made to or from the model container.
The Semantic Segmentation built-in algorithm does not support network isolation.
"
+ "CertifyForMarketplace": {
+ "shape": "CertifyForMarketplace",
+ "documentation": "Whether to certify the algorithm so that it can be listed in AWS Marketplace.
"
}
}
},
- "CreateModelOutput": {
+ "CreateAlgorithmOutput": {
"type": "structure",
"required": [
- "ModelArn"
+ "AlgorithmArn"
],
"members": {
- "ModelArn": {
- "shape": "ModelArn",
- "documentation": "The ARN of the model created in Amazon SageMaker.
"
+ "AlgorithmArn": {
+ "shape": "AlgorithmArn",
+ "documentation": "The Amazon Resource Name (ARN) of the new algorithm.
"
}
}
},
- "CreateModelPackageInput": {
+ "CreateAppRequest": {
"type": "structure",
"required": [
- "ModelPackageName"
+ "DomainId",
+ "UserProfileName",
+ "AppType",
+ "AppName"
],
"members": {
- "ModelPackageName": {
- "shape": "EntityName",
- "documentation": "The name of the model package. The name must have 1 to 63 characters. Valid characters are a-z, A-Z, 0-9, and - (hyphen).
"
+ "DomainId": {
+ "shape": "DomainId",
+ "documentation": "The domain ID.
"
},
- "ModelPackageDescription": {
- "shape": "EntityDescription",
- "documentation": "A description of the model package.
"
+ "UserProfileName": {
+ "shape": "UserProfileName",
+ "documentation": "The user profile name.
"
},
- "InferenceSpecification": {
- "shape": "InferenceSpecification",
- "documentation": "Specifies details about inference jobs that can be run with models based on this model package, including the following:
-
The Amazon ECR paths of containers that contain the inference code and model artifacts.
-
The instance types that the model package supports for transform jobs and real-time endpoints used for inference.
-
The input and output content formats that the model package supports for inference.
"
+ "AppType": {
+ "shape": "AppType",
+ "documentation": "The type of app.
"
},
- "ValidationSpecification": {
- "shape": "ModelPackageValidationSpecification",
- "documentation": "Specifies configurations for one or more transform jobs that Amazon SageMaker runs to test the model package.
"
+ "AppName": {
+ "shape": "AppName",
+ "documentation": "The name of the app.
"
},
- "SourceAlgorithmSpecification": {
- "shape": "SourceAlgorithmSpecification",
- "documentation": "Details about the algorithm that was used to create the model package.
"
+ "Tags": {
+ "shape": "TagList",
+ "documentation": "Each tag consists of a key and an optional value. Tag keys must be unique per resource.
"
},
- "CertifyForMarketplace": {
- "shape": "CertifyForMarketplace",
- "documentation": "Whether to certify the model package for listing on AWS Marketplace.
"
+ "ResourceSpec": {
+ "shape": "ResourceSpec",
+ "documentation": "The instance type and quantity.
"
}
}
},
- "CreateModelPackageOutput": {
+ "CreateAppResponse": {
"type": "structure",
- "required": [
- "ModelPackageArn"
- ],
"members": {
- "ModelPackageArn": {
- "shape": "ModelPackageArn",
- "documentation": "The Amazon Resource Name (ARN) of the new model package.
"
+ "AppArn": {
+ "shape": "AppArn",
+ "documentation": "The app's Amazon Resource Name (ARN).
"
}
}
},
- "CreateNotebookInstanceInput": {
+ "CreateAutoMLJobRequest": {
"type": "structure",
"required": [
- "NotebookInstanceName",
- "InstanceType",
+ "AutoMLJobName",
+ "InputDataConfig",
+ "OutputDataConfig",
"RoleArn"
],
"members": {
- "NotebookInstanceName": {
- "shape": "NotebookInstanceName",
- "documentation": "The name of the new notebook instance.
"
+ "AutoMLJobName": {
+ "shape": "AutoMLJobName",
+ "documentation": "Identifies an AutoPilot job. Must be unique to your account and is case-insensitive.
"
},
- "InstanceType": {
- "shape": "InstanceType",
- "documentation": "The type of ML compute instance to launch for the notebook instance.
"
+ "InputDataConfig": {
+ "shape": "AutoMLInputDataConfig",
+ "documentation": "Similar to InputDataConfig supported by Tuning. Format(s) supported: CSV.
"
},
- "SubnetId": {
- "shape": "SubnetId",
- "documentation": "The ID of the subnet in a VPC to which you would like to have a connectivity from your ML compute instance.
"
+ "OutputDataConfig": {
+ "shape": "AutoMLOutputDataConfig",
+ "documentation": "Similar to OutputDataConfig supported by Tuning. Format(s) supported: CSV.
"
},
- "SecurityGroupIds": {
- "shape": "SecurityGroupIds",
- "documentation": "The VPC security group IDs, in the form sg-xxxxxxxx. The security groups must be for the same VPC as specified in the subnet.
"
+ "ProblemType": {
+ "shape": "ProblemType",
+ "documentation": "Defines the kind of preprocessing and algorithms intended for the candidates. Options include: BinaryClassification, MulticlassClassification, and Regression.
"
+ },
+ "AutoMLJobObjective": {
+ "shape": "AutoMLJobObjective",
+ "documentation": "Defines the job's objective. You provide a MetricName and AutoML will infer minimize or maximize. If this is not provided, the most commonly used ObjectiveMetric for problem type will be selected.
"
+ },
+ "AutoMLJobConfig": {
+ "shape": "AutoMLJobConfig",
+ "documentation": "Contains CompletionCriteria and SecurityConfig.
"
},
"RoleArn": {
"shape": "RoleArn",
- "documentation": " When you send any requests to AWS resources from the notebook instance, Amazon SageMaker assumes this role to perform tasks on your behalf. You must grant this role necessary permissions so Amazon SageMaker can perform these tasks. The policy must allow the Amazon SageMaker service principal (sagemaker.amazonaws.com) permissionsto to assume this role. For more information, see Amazon SageMaker Roles.
To be able to pass this role to Amazon SageMaker, the caller of this API must have the iam:PassRole
permission.
"
+ "documentation": "The ARN of the role that will be used to access the data.
"
},
- "KmsKeyId": {
- "shape": "KmsKeyId",
- "documentation": "The Amazon Resource Name (ARN) of a AWS Key Management Service key that Amazon SageMaker uses to encrypt data on the storage volume attached to your notebook instance. The KMS key you provide must be enabled. For information, see Enabling and Disabling Keys in the AWS Key Management Service Developer Guide.
"
+ "GenerateCandidateDefinitionsOnly": {
+ "shape": "GenerateCandidateDefinitionsOnly",
+ "documentation": "This will generate possible candidates without training a model. A candidate is a combination of data preprocessors, algorithms, and algorithm parameter settings.
"
},
"Tags": {
"shape": "TagList",
- "documentation": "A list of tags to associate with the notebook instance. You can add tags later by using the CreateTags
API.
"
- },
- "LifecycleConfigName": {
- "shape": "NotebookInstanceLifecycleConfigName",
- "documentation": "The name of a lifecycle configuration to associate with the notebook instance. For information about lifestyle configurations, see Step 2.1: (Optional) Customize a Notebook Instance.
"
- },
- "DirectInternetAccess": {
- "shape": "DirectInternetAccess",
- "documentation": "Sets whether Amazon SageMaker provides internet access to the notebook instance. If you set this to Disabled
this notebook instance will be able to access resources only in your VPC, and will not be able to connect to Amazon SageMaker training and endpoint services unless your configure a NAT Gateway in your VPC.
For more information, see Notebook Instances Are Internet-Enabled by Default. You can set the value of this parameter to Disabled
only if you set a value for the SubnetId
parameter.
"
- },
- "VolumeSizeInGB": {
- "shape": "NotebookInstanceVolumeSizeInGB",
- "documentation": "The size, in GB, of the ML storage volume to attach to the notebook instance. The default value is 5 GB.
"
- },
- "AcceleratorTypes": {
- "shape": "NotebookInstanceAcceleratorTypes",
- "documentation": "A list of Elastic Inference (EI) instance types to associate with this notebook instance. Currently, only one instance type can be associated with a notebook instance. For more information, see Using Elastic Inference in Amazon SageMaker.
"
- },
- "DefaultCodeRepository": {
- "shape": "CodeRepositoryNameOrUrl",
- "documentation": "A Git repository to associate with the notebook instance as its default code repository. This can be either the name of a Git repository stored as a resource in your account, or the URL of a Git repository in AWS CodeCommit or in any other Git repository. When you open a notebook instance, it opens in the directory that contains this repository. For more information, see Associating Git Repositories with Amazon SageMaker Notebook Instances.
"
- },
- "AdditionalCodeRepositories": {
- "shape": "AdditionalCodeRepositoryNamesOrUrls",
- "documentation": "An array of up to three Git repositories to associate with the notebook instance. These can be either the names of Git repositories stored as resources in your account, or the URL of Git repositories in AWS CodeCommit or in any other Git repository. These repositories are cloned at the same level as the default repository of your notebook instance. For more information, see Associating Git Repositories with Amazon SageMaker Notebook Instances.
"
- },
- "RootAccess": {
- "shape": "RootAccess",
- "documentation": "Whether root access is enabled or disabled for users of the notebook instance. The default value is Enabled
.
Lifecycle configurations need root access to be able to set up a notebook instance. Because of this, lifecycle configurations associated with a notebook instance always run with root access even if you disable root access for users.
"
+ "documentation": "Each tag consists of a key and an optional value. Tag keys must be unique per resource.
"
}
}
},
- "CreateNotebookInstanceLifecycleConfigInput": {
+ "CreateAutoMLJobResponse": {
"type": "structure",
"required": [
- "NotebookInstanceLifecycleConfigName"
+ "AutoMLJobArn"
],
"members": {
- "NotebookInstanceLifecycleConfigName": {
- "shape": "NotebookInstanceLifecycleConfigName",
- "documentation": "The name of the lifecycle configuration.
"
- },
- "OnCreate": {
- "shape": "NotebookInstanceLifecycleConfigList",
- "documentation": "A shell script that runs only once, when you create a notebook instance. The shell script must be a base64-encoded string.
"
- },
- "OnStart": {
- "shape": "NotebookInstanceLifecycleConfigList",
- "documentation": "A shell script that runs every time you start a notebook instance, including when you create the notebook instance. The shell script must be a base64-encoded string.
"
+ "AutoMLJobArn": {
+ "shape": "AutoMLJobArn",
+ "documentation": "When a job is created, it is assigned a unique ARN.
"
}
}
},
- "CreateNotebookInstanceLifecycleConfigOutput": {
+ "CreateCodeRepositoryInput": {
"type": "structure",
+ "required": [
+ "CodeRepositoryName",
+ "GitConfig"
+ ],
"members": {
- "NotebookInstanceLifecycleConfigArn": {
- "shape": "NotebookInstanceLifecycleConfigArn",
- "documentation": "The Amazon Resource Name (ARN) of the lifecycle configuration.
"
+ "CodeRepositoryName": {
+ "shape": "EntityName",
+ "documentation": "The name of the Git repository. The name must have 1 to 63 characters. Valid characters are a-z, A-Z, 0-9, and - (hyphen).
"
+ },
+ "GitConfig": {
+ "shape": "GitConfig",
+ "documentation": "Specifies details about the repository, including the URL where the repository is located, the default branch, and credentials to use to access the repository.
"
}
}
},
- "CreateNotebookInstanceOutput": {
+ "CreateCodeRepositoryOutput": {
"type": "structure",
+ "required": [
+ "CodeRepositoryArn"
+ ],
"members": {
- "NotebookInstanceArn": {
- "shape": "NotebookInstanceArn",
- "documentation": "The Amazon Resource Name (ARN) of the notebook instance.
"
+ "CodeRepositoryArn": {
+ "shape": "CodeRepositoryArn",
+ "documentation": "The Amazon Resource Name (ARN) of the new repository.
"
}
}
},
- "CreatePresignedNotebookInstanceUrlInput": {
+ "CreateCompilationJobRequest": {
"type": "structure",
"required": [
- "NotebookInstanceName"
+ "CompilationJobName",
+ "RoleArn",
+ "InputConfig",
+ "OutputConfig",
+ "StoppingCondition"
],
"members": {
- "NotebookInstanceName": {
- "shape": "NotebookInstanceName",
- "documentation": "The name of the notebook instance.
"
+ "CompilationJobName": {
+ "shape": "EntityName",
+ "documentation": "A name for the model compilation job. The name must be unique within the AWS Region and within your AWS account.
"
},
- "SessionExpirationDurationInSeconds": {
- "shape": "SessionExpirationDurationInSeconds",
- "documentation": "The duration of the session, in seconds. The default is 12 hours.
"
+ "RoleArn": {
+ "shape": "RoleArn",
+ "documentation": "The Amazon Resource Name (ARN) of an IAM role that enables Amazon SageMaker to perform tasks on your behalf.
During model compilation, Amazon SageMaker needs your permission to:
-
Read input data from an S3 bucket
-
Write model artifacts to an S3 bucket
-
Write logs to Amazon CloudWatch Logs
-
Publish metrics to Amazon CloudWatch
You grant permissions for all of these tasks to an IAM role. To pass this role to Amazon SageMaker, the caller of this API must have the iam:PassRole
permission. For more information, see Amazon SageMaker Roles.
"
+ },
+ "InputConfig": {
+ "shape": "InputConfig",
+ "documentation": "Provides information about the location of input model artifacts, the name and shape of the expected data inputs, and the framework in which the model was trained.
"
+ },
+ "OutputConfig": {
+ "shape": "OutputConfig",
+ "documentation": "Provides information about the output location for the compiled model and the target device the model runs on.
"
+ },
+ "StoppingCondition": {
+ "shape": "StoppingCondition",
+ "documentation": "Specifies a limit to how long a model compilation job can run. When the job reaches the time limit, Amazon SageMaker ends the compilation job. Use this API to cap model training costs.
"
}
}
},
- "CreatePresignedNotebookInstanceUrlOutput": {
+ "CreateCompilationJobResponse": {
"type": "structure",
+ "required": [
+ "CompilationJobArn"
+ ],
"members": {
- "AuthorizedUrl": {
- "shape": "NotebookInstanceUrl",
- "documentation": "A JSON object that contains the URL string.
"
+ "CompilationJobArn": {
+ "shape": "CompilationJobArn",
+ "documentation": "If the action is successful, the service sends back an HTTP 200 response. Amazon SageMaker returns the following data in JSON format:
"
}
}
},
- "CreateTrainingJobRequest": {
+ "CreateDomainRequest": {
"type": "structure",
"required": [
- "TrainingJobName",
- "AlgorithmSpecification",
- "RoleArn",
- "OutputDataConfig",
- "ResourceConfig",
- "StoppingCondition"
+ "DomainName",
+ "AuthMode",
+ "DefaultUserSettings",
+ "SubnetIds",
+ "VpcId"
],
"members": {
- "TrainingJobName": {
- "shape": "TrainingJobName",
- "documentation": "The name of the training job. The name must be unique within an AWS Region in an AWS account.
"
+ "DomainName": {
+ "shape": "DomainName",
+ "documentation": "A name for the domain.
"
},
- "HyperParameters": {
- "shape": "HyperParameters",
- "documentation": "Algorithm-specific parameters that influence the quality of the model. You set hyperparameters before you start the learning process. For a list of hyperparameters for each training algorithm provided by Amazon SageMaker, see Algorithms.
You can specify a maximum of 100 hyperparameters. Each hyperparameter is a key-value pair. Each key and value is limited to 256 characters, as specified by the Length Constraint
.
"
+ "AuthMode": {
+ "shape": "AuthMode",
+ "documentation": "The mode of authentication that member use to access the domain.
"
},
- "AlgorithmSpecification": {
- "shape": "AlgorithmSpecification",
- "documentation": "The registry path of the Docker image that contains the training algorithm and algorithm-specific metadata, including the input mode. For more information about algorithms provided by Amazon SageMaker, see Algorithms. For information about providing your own algorithms, see Using Your Own Algorithms with Amazon SageMaker.
"
+ "DefaultUserSettings": {
+ "shape": "UserSettings",
+ "documentation": "The default user settings.
"
},
- "RoleArn": {
- "shape": "RoleArn",
- "documentation": "The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker can assume to perform tasks on your behalf.
During model training, Amazon SageMaker needs your permission to read input data from an S3 bucket, download a Docker image that contains training code, write model artifacts to an S3 bucket, write logs to Amazon CloudWatch Logs, and publish metrics to Amazon CloudWatch. You grant permissions for all of these tasks to an IAM role. For more information, see Amazon SageMaker Roles.
To be able to pass this role to Amazon SageMaker, the caller of this API must have the iam:PassRole
permission.
"
+ "SubnetIds": {
+ "shape": "Subnets",
+ "documentation": "Security setting to limit to a set of subnets.
"
},
- "InputDataConfig": {
- "shape": "InputDataConfig",
- "documentation": "An array of Channel
objects. Each channel is a named input source. InputDataConfig
describes the input data and its location.
Algorithms can accept input data from one or more channels. For example, an algorithm might have two channels of input data, training_data
and validation_data
. The configuration for each channel provides the S3, EFS, or FSx location where the input data is stored. It also provides information about the stored data: the MIME type, compression method, and whether the data is wrapped in RecordIO format.
Depending on the input mode that the algorithm supports, Amazon SageMaker either copies input data files from an S3 bucket to a local directory in the Docker container, or makes it available as input streams. For example, if you specify an EFS location, input data files will be made available as input streams. They do not need to be downloaded.
"
+ "VpcId": {
+ "shape": "VpcId",
+ "documentation": "Security setting to limit the domain's communication to a Amazon Virtual Private Cloud.
"
},
- "OutputDataConfig": {
- "shape": "OutputDataConfig",
- "documentation": "Specifies the path to the S3 location where you want to store model artifacts. Amazon SageMaker creates subfolders for the artifacts.
"
+ "Tags": {
+ "shape": "TagList",
+ "documentation": "Each tag consists of a key and an optional value. Tag keys must be unique per resource.
"
},
- "ResourceConfig": {
- "shape": "ResourceConfig",
- "documentation": "The resources, including the ML compute instances and ML storage volumes, to use for model training.
ML storage volumes store model artifacts and incremental states. Training algorithms might also use ML storage volumes for scratch space. If you want Amazon SageMaker to use the ML storage volume to store the training data, choose File
as the TrainingInputMode
in the algorithm specification. For distributed training algorithms, specify an instance count greater than 1.
"
+ "HomeEfsFileSystemKmsKeyId": {
+ "shape": "KmsKeyId",
+ "documentation": "The AWS Key Management Service encryption key ID.
"
+ }
+ }
+ },
+ "CreateDomainResponse": {
+ "type": "structure",
+ "members": {
+ "DomainArn": {
+ "shape": "DomainArn",
+ "documentation": "The Amazon Resource Name (ARN) of the created domain.
"
},
- "VpcConfig": {
- "shape": "VpcConfig",
- "documentation": "A VpcConfig object that specifies the VPC that you want your training job to connect to. Control access to and from your training container by configuring the VPC. For more information, see Protect Training Jobs by Using an Amazon Virtual Private Cloud.
"
+ "Url": {
+ "shape": "String1024",
+ "documentation": "The URL to the created domain.
"
+ }
+ }
+ },
+ "CreateEndpointConfigInput": {
+ "type": "structure",
+ "required": [
+ "EndpointConfigName",
+ "ProductionVariants"
+ ],
+ "members": {
+ "EndpointConfigName": {
+ "shape": "EndpointConfigName",
+ "documentation": "The name of the endpoint configuration. You specify this name in a CreateEndpoint request.
"
},
- "StoppingCondition": {
- "shape": "StoppingCondition",
- "documentation": "Specifies a limit to how long a model training job can run. When the job reaches the time limit, Amazon SageMaker ends the training job. Use this API to cap model training costs.
To stop a job, Amazon SageMaker sends the algorithm the SIGTERM
signal, which delays job termination for 120 seconds. Algorithms can use this 120-second window to save the model artifacts, so the results of training are not lost.
"
+ "ProductionVariants": {
+ "shape": "ProductionVariantList",
+ "documentation": "An list of ProductionVariant
objects, one for each model that you want to host at this endpoint.
"
+ },
+ "DataCaptureConfig": {
+ "shape": "DataCaptureConfig"
},
"Tags": {
"shape": "TagList",
- "documentation": "An array of key-value pairs. For more information, see Using Cost Allocation Tags in the AWS Billing and Cost Management User Guide.
"
- },
- "EnableNetworkIsolation": {
- "shape": "Boolean",
- "documentation": "Isolates the training container. No inbound or outbound network calls can be made, except for calls between peers within a training cluster for distributed training. If you enable network isolation for training jobs that are configured to use a VPC, Amazon SageMaker downloads and uploads customer data and model artifacts through the specified VPC, but the training container does not have network access.
The Semantic Segmentation built-in algorithm does not support network isolation.
"
- },
- "EnableInterContainerTrafficEncryption": {
- "shape": "Boolean",
- "documentation": "To encrypt all communications between ML compute instances in distributed training, choose True
. Encryption provides greater security for distributed training, but training might take longer. How long it takes depends on the amount of communication between compute instances, especially if you use a deep learning algorithm in distributed training. For more information, see Protect Communications Between ML Compute Instances in a Distributed Training Job.
"
- },
- "EnableManagedSpotTraining": {
- "shape": "Boolean",
- "documentation": "To train models using managed spot training, choose True
. Managed spot training provides a fully managed and scalable infrastructure for training machine learning models. this option is useful when training jobs can be interrupted and when there is flexibility when the training job is run.
The complete and intermediate results of jobs are stored in an Amazon S3 bucket, and can be used as a starting point to train models incrementally. Amazon SageMaker provides metrics and logs in CloudWatch. They can be used to see when managed spot training jobs are running, interrupted, resumed, or completed.
"
+ "documentation": "A list of key-value pairs. For more information, see Using Cost Allocation Tags in the AWS Billing and Cost Management User Guide.
"
},
- "CheckpointConfig": {
- "shape": "CheckpointConfig",
- "documentation": "Contains information about the output location for managed spot training checkpoint data.
"
+ "KmsKeyId": {
+ "shape": "KmsKeyId",
+ "documentation": "The Amazon Resource Name (ARN) of a AWS Key Management Service key that Amazon SageMaker uses to encrypt data on the storage volume attached to the ML compute instance that hosts the endpoint.
Certain Nitro-based instances include local storage, dependent on the instance type. Local storage volumes are encrypted using a hardware module on the instance. You can't request a KmsKeyId
when using an instance type with local storage. If any of the models that you specify in the ProductionVariants
parameter use nitro-based instances with local storage, do not specify a value for the KmsKeyId
parameter. If you specify a value for KmsKeyId
when using any nitro-based instances with local storage, the call to CreateEndpointConfig
fails.
For a list of instance types that support local instance storage, see Instance Store Volumes.
For more information about local instance storage encryption, see SSD Instance Store Volumes.
"
}
}
},
- "CreateTrainingJobResponse": {
+ "CreateEndpointConfigOutput": {
"type": "structure",
"required": [
- "TrainingJobArn"
+ "EndpointConfigArn"
],
"members": {
- "TrainingJobArn": {
- "shape": "TrainingJobArn",
- "documentation": "The Amazon Resource Name (ARN) of the training job.
"
+ "EndpointConfigArn": {
+ "shape": "EndpointConfigArn",
+ "documentation": "The Amazon Resource Name (ARN) of the endpoint configuration.
"
}
}
},
- "CreateTransformJobRequest": {
+ "CreateEndpointInput": {
"type": "structure",
"required": [
- "TransformJobName",
- "ModelName",
- "TransformInput",
- "TransformOutput",
- "TransformResources"
+ "EndpointName",
+ "EndpointConfigName"
],
"members": {
- "TransformJobName": {
- "shape": "TransformJobName",
- "documentation": "The name of the transform job. The name must be unique within an AWS Region in an AWS account.
"
- },
- "ModelName": {
- "shape": "ModelName",
- "documentation": "The name of the model that you want to use for the transform job. ModelName
must be the name of an existing Amazon SageMaker model within an AWS Region in an AWS account.
"
- },
- "MaxConcurrentTransforms": {
- "shape": "MaxConcurrentTransforms",
- "documentation": "The maximum number of parallel requests that can be sent to each instance in a transform job. If MaxConcurrentTransforms
is set to 0
or left unset, Amazon SageMaker checks the optional execution-parameters to determine the optimal settings for your chosen algorithm. If the execution-parameters endpoint is not enabled, the default value is 1
. For more information on execution-parameters, see How Containers Serve Requests. For built-in algorithms, you don't need to set a value for MaxConcurrentTransforms
.
"
- },
- "MaxPayloadInMB": {
- "shape": "MaxPayloadInMB",
- "documentation": "The maximum allowed size of the payload, in MB. A payload is the data portion of a record (without metadata). The value in MaxPayloadInMB
must be greater than, or equal to, the size of a single record. To estimate the size of a record in MB, divide the size of your dataset by the number of records. To ensure that the records fit within the maximum payload size, we recommend using a slightly larger value. The default value is 6
MB.
For cases where the payload might be arbitrarily large and is transmitted using HTTP chunked encoding, set the value to 0
. This feature works only in supported algorithms. Currently, Amazon SageMaker built-in algorithms do not support HTTP chunked encoding.
"
- },
- "BatchStrategy": {
- "shape": "BatchStrategy",
- "documentation": "Specifies the number of records to include in a mini-batch for an HTTP inference request. A record is a single unit of input data that inference can be made on. For example, a single line in a CSV file is a record.
To enable the batch strategy, you must set the SplitType
property of the DataProcessing object to Line
, RecordIO
, or TFRecord
.
To use only one record when making an HTTP invocation request to a container, set BatchStrategy
to SingleRecord
and SplitType
to Line
.
To fit as many records in a mini-batch as can fit within the MaxPayloadInMB
limit, set BatchStrategy
to MultiRecord
and SplitType
to Line
.
"
- },
- "Environment": {
- "shape": "TransformEnvironmentMap",
- "documentation": "The environment variables to set in the Docker container. We support up to 16 key and values entries in the map.
"
- },
- "TransformInput": {
- "shape": "TransformInput",
- "documentation": "Describes the input source and the way the transform job consumes it.
"
- },
- "TransformOutput": {
- "shape": "TransformOutput",
- "documentation": "Describes the results of the transform job.
"
- },
- "TransformResources": {
- "shape": "TransformResources",
- "documentation": "Describes the resources, including ML instance types and ML instance count, to use for the transform job.
"
+ "EndpointName": {
+ "shape": "EndpointName",
+ "documentation": "The name of the endpoint. The name must be unique within an AWS Region in your AWS account.
"
},
- "DataProcessing": {
- "shape": "DataProcessing",
- "documentation": "The data structure used to specify the data to be used for inference in a batch transform job and to associate the data that is relevant to the prediction results in the output. The input filter provided allows you to exclude input data that is not needed for inference in a batch transform job. The output filter provided allows you to include input data relevant to interpreting the predictions in the output from the job. For more information, see Associate Prediction Results with their Corresponding Input Records.
"
+ "EndpointConfigName": {
+ "shape": "EndpointConfigName",
+ "documentation": "The name of an endpoint configuration. For more information, see CreateEndpointConfig.
"
},
"Tags": {
"shape": "TagList",
- "documentation": "(Optional) An array of key-value pairs. For more information, see Using Cost Allocation Tags in the AWS Billing and Cost Management User Guide.
"
+ "documentation": "An array of key-value pairs. For more information, see Using Cost Allocation Tagsin the AWS Billing and Cost Management User Guide.
"
}
}
},
- "CreateTransformJobResponse": {
+ "CreateEndpointOutput": {
"type": "structure",
"required": [
- "TransformJobArn"
+ "EndpointArn"
],
"members": {
- "TransformJobArn": {
- "shape": "TransformJobArn",
- "documentation": "The Amazon Resource Name (ARN) of the transform job.
"
+ "EndpointArn": {
+ "shape": "EndpointArn",
+ "documentation": "The Amazon Resource Name (ARN) of the endpoint.
"
}
}
},
- "CreateWorkteamRequest": {
+ "CreateExperimentRequest": {
"type": "structure",
"required": [
- "WorkteamName",
- "MemberDefinitions",
- "Description"
+ "ExperimentName"
],
"members": {
- "WorkteamName": {
- "shape": "WorkteamName",
- "documentation": "The name of the work team. Use this name to identify the work team.
"
+ "ExperimentName": {
+ "shape": "ExperimentEntityName",
+ "documentation": "The name of the experiment. The name must be unique in your AWS account and is not case-sensitive.
"
},
- "MemberDefinitions": {
- "shape": "MemberDefinitions",
- "documentation": "A list of MemberDefinition
objects that contains objects that identify the Amazon Cognito user pool that makes up the work team. For more information, see Amazon Cognito User Pools.
All of the CognitoMemberDefinition
objects that make up the member definition must have the same ClientId
and UserPool
values.
"
+ "DisplayName": {
+ "shape": "ExperimentEntityName",
+ "documentation": "The name of the experiment as displayed. The name doesn't need to be unique. If you don't specify DisplayName
, the value in ExperimentName
is displayed.
"
},
"Description": {
- "shape": "String200",
- "documentation": "A description of the work team.
"
- },
- "NotificationConfiguration": {
- "shape": "NotificationConfiguration",
- "documentation": "Configures notification of workers regarding available or expiring work items.
"
+ "shape": "ExperimentDescription",
+ "documentation": "The description of the experiment.
"
},
"Tags": {
"shape": "TagList",
- "documentation": "An array of key-value pairs.
For more information, see Resource Tag and Using Cost Allocation Tags in the AWS Billing and Cost Management User Guide.
"
+ "documentation": "A list of tags to associate with the experiment. You can use Search API to search on the tags.
"
}
}
},
- "CreateWorkteamResponse": {
+ "CreateExperimentResponse": {
"type": "structure",
"members": {
- "WorkteamArn": {
- "shape": "WorkteamArn",
- "documentation": "The Amazon Resource Name (ARN) of the work team. You can use this ARN to identify the work team.
"
+ "ExperimentArn": {
+ "shape": "ExperimentArn",
+ "documentation": "The Amazon Resource Name (ARN) of the experiment.
"
}
}
},
- "CreationTime": {
- "type": "timestamp"
- },
- "DataInputConfig": {
- "type": "string",
- "max": 1024,
- "min": 1,
- "pattern": "[\\S\\s]+"
- },
- "DataProcessing": {
+ "CreateFlowDefinitionRequest": {
"type": "structure",
+ "required": [
+ "FlowDefinitionName",
+ "HumanLoopConfig",
+ "OutputConfig",
+ "RoleArn"
+ ],
"members": {
- "InputFilter": {
- "shape": "JsonPath",
- "documentation": "A JSONPath expression used to select a portion of the input data to pass to the algorithm. Use the InputFilter
parameter to exclude fields, such as an ID column, from the input. If you want Amazon SageMaker to pass the entire input dataset to the algorithm, accept the default value $
.
Examples: \"$\"
, \"$[1:]\"
, \"$.features\"
"
+ "FlowDefinitionName": {
+ "shape": "FlowDefinitionName",
+ "documentation": "The name of your flow definition.
"
},
- "OutputFilter": {
- "shape": "JsonPath",
- "documentation": "A JSONPath expression used to select a portion of the joined dataset to save in the output file for a batch transform job. If you want Amazon SageMaker to store the entire input dataset in the output file, leave the default value, $
. If you specify indexes that aren't within the dimension size of the joined dataset, you get an error.
Examples: \"$\"
, \"$[0,5:]\"
, \"$['id','SageMakerOutput']\"
"
+ "HumanLoopActivationConfig": {
+ "shape": "HumanLoopActivationConfig",
+ "documentation": "An object containing information about the events that trigger a human workflow.
"
},
- "JoinSource": {
- "shape": "JoinSource",
- "documentation": "Specifies the source of the data to join with the transformed data. The valid values are None
and Input
. The default value is None
, which specifies not to join the input with the transformed data. If you want the batch transform job to join the original input data with the transformed data, set JoinSource
to Input
.
For JSON or JSONLines objects, such as a JSON array, Amazon SageMaker adds the transformed data to the input JSON object in an attribute called SageMakerOutput
. The joined result for JSON must be a key-value pair object. If the input is not a key-value pair object, Amazon SageMaker creates a new JSON file. In the new JSON file, and the input data is stored under the SageMakerInput
key and the results are stored in SageMakerOutput
.
For CSV files, Amazon SageMaker combines the transformed data with the input data at the end of the input data and stores it in the output file. The joined data has the joined input data followed by the transformed data and the output is a CSV file.
"
+ "HumanLoopConfig": {
+ "shape": "HumanLoopConfig",
+ "documentation": "An object containing information about the tasks the human reviewers will perform.
"
+ },
+ "OutputConfig": {
+ "shape": "FlowDefinitionOutputConfig",
+ "documentation": "An object containing information about where the human review results will be uploaded.
"
+ },
+ "RoleArn": {
+ "shape": "RoleArn",
+ "documentation": "The Amazon Resource Name (ARN) of the role needed to call other services on your behalf. For example, arn:aws:iam::1234567890:role/service-role/AmazonSageMaker-ExecutionRole-20180111T151298
.
"
+ },
+ "Tags": {
+ "shape": "TagList",
+ "documentation": "An array of key-value pairs that contain metadata to help you categorize and organize a flow definition. Each tag consists of a key and a value, both of which you define.
"
}
- },
- "documentation": "The data structure used to specify the data to be used for inference in a batch transform job and to associate the data that is relevant to the prediction results in the output. The input filter provided allows you to exclude input data that is not needed for inference in a batch transform job. The output filter provided allows you to include input data relevant to interpreting the predictions in the output from the job. For more information, see Associate Prediction Results with their Corresponding Input Records.
"
+ }
},
- "DataSource": {
+ "CreateFlowDefinitionResponse": {
"type": "structure",
+ "required": [
+ "FlowDefinitionArn"
+ ],
"members": {
- "S3DataSource": {
- "shape": "S3DataSource",
- "documentation": "The S3 location of the data source that is associated with a channel.
"
- },
- "FileSystemDataSource": {
- "shape": "FileSystemDataSource",
- "documentation": "The file system that is associated with a channel.
"
+ "FlowDefinitionArn": {
+ "shape": "FlowDefinitionArn",
+ "documentation": "The Amazon Resource Name (ARN) of the flow definition you create.
"
}
- },
- "documentation": "Describes the location of the channel data.
"
+ }
},
- "DeleteAlgorithmInput": {
+ "CreateHumanTaskUiRequest": {
"type": "structure",
"required": [
- "AlgorithmName"
+ "HumanTaskUiName",
+ "UiTemplate"
],
"members": {
- "AlgorithmName": {
- "shape": "EntityName",
- "documentation": "The name of the algorithm to delete.
"
+ "HumanTaskUiName": {
+ "shape": "HumanTaskUiName",
+ "documentation": "The name of the user interface you are creating.
"
+ },
+ "UiTemplate": {
+ "shape": "UiTemplate"
+ },
+ "Tags": {
+ "shape": "TagList",
+ "documentation": "An array of key-value pairs that contain metadata to help you categorize and organize a human review workflow user interface. Each tag consists of a key and a value, both of which you define.
"
}
}
},
- "DeleteCodeRepositoryInput": {
+ "CreateHumanTaskUiResponse": {
"type": "structure",
"required": [
- "CodeRepositoryName"
+ "HumanTaskUiArn"
],
"members": {
- "CodeRepositoryName": {
- "shape": "EntityName",
- "documentation": "The name of the Git repository to delete.
"
+ "HumanTaskUiArn": {
+ "shape": "HumanTaskUiArn",
+ "documentation": "The Amazon Resource Name (ARN) of the human review workflow user interface you create.
"
}
}
},
- "DeleteEndpointConfigInput": {
+ "CreateHyperParameterTuningJobRequest": {
"type": "structure",
"required": [
- "EndpointConfigName"
+ "HyperParameterTuningJobName",
+ "HyperParameterTuningJobConfig"
],
"members": {
- "EndpointConfigName": {
- "shape": "EndpointConfigName",
- "documentation": "The name of the endpoint configuration that you want to delete.
"
+ "HyperParameterTuningJobName": {
+ "shape": "HyperParameterTuningJobName",
+ "documentation": "The name of the tuning job. This name is the prefix for the names of all training jobs that this tuning job launches. The name must be unique within the same AWS account and AWS Region. The name must have { } to { } characters. Valid characters are a-z, A-Z, 0-9, and : + = @ _ % - (hyphen). The name is not case sensitive.
"
+ },
+ "HyperParameterTuningJobConfig": {
+ "shape": "HyperParameterTuningJobConfig",
+ "documentation": "The HyperParameterTuningJobConfig object that describes the tuning job, including the search strategy, the objective metric used to evaluate training jobs, ranges of parameters to search, and resource limits for the tuning job. For more information, see automatic-model-tuning
"
+ },
+ "TrainingJobDefinition": {
+ "shape": "HyperParameterTrainingJobDefinition",
+ "documentation": "The HyperParameterTrainingJobDefinition object that describes the training jobs that this tuning job launches, including static hyperparameters, input data configuration, output data configuration, resource configuration, and stopping condition.
"
+ },
+ "TrainingJobDefinitions": {
+ "shape": "HyperParameterTrainingJobDefinitions",
+ "documentation": ""
+ },
+ "WarmStartConfig": {
+ "shape": "HyperParameterTuningJobWarmStartConfig",
+ "documentation": "Specifies the configuration for starting the hyperparameter tuning job using one or more previous tuning jobs as a starting point. The results of previous tuning jobs are used to inform which combinations of hyperparameters to search over in the new tuning job.
All training jobs launched by the new hyperparameter tuning job are evaluated by using the objective metric. If you specify IDENTICAL_DATA_AND_ALGORITHM
as the WarmStartType
value for the warm start configuration, the training job that performs the best in the new tuning job is compared to the best training jobs from the parent tuning jobs. From these, the training job that performs the best as measured by the objective metric is returned as the overall best training job.
All training jobs launched by parent hyperparameter tuning jobs and the new hyperparameter tuning jobs count against the limit of training jobs for the tuning job.
"
+ },
+ "Tags": {
+ "shape": "TagList",
+ "documentation": "An array of key-value pairs. You can use tags to categorize your AWS resources in different ways, for example, by purpose, owner, or environment. For more information, see AWS Tagging Strategies.
Tags that you specify for the tuning job are also added to all training jobs that the tuning job launches.
"
}
}
},
- "DeleteEndpointInput": {
+ "CreateHyperParameterTuningJobResponse": {
"type": "structure",
"required": [
- "EndpointName"
+ "HyperParameterTuningJobArn"
],
"members": {
- "EndpointName": {
- "shape": "EndpointName",
- "documentation": "The name of the endpoint that you want to delete.
"
+ "HyperParameterTuningJobArn": {
+ "shape": "HyperParameterTuningJobArn",
+ "documentation": "The Amazon Resource Name (ARN) of the tuning job. Amazon SageMaker assigns an ARN to a hyperparameter tuning job when you create it.
"
}
}
},
- "DeleteModelInput": {
+ "CreateLabelingJobRequest": {
"type": "structure",
"required": [
- "ModelName"
+ "LabelingJobName",
+ "LabelAttributeName",
+ "InputConfig",
+ "OutputConfig",
+ "RoleArn",
+ "HumanTaskConfig"
],
"members": {
- "ModelName": {
- "shape": "ModelName",
- "documentation": "The name of the model to delete.
"
+ "LabelingJobName": {
+ "shape": "LabelingJobName",
+ "documentation": "The name of the labeling job. This name is used to identify the job in a list of labeling jobs.
"
+ },
+ "LabelAttributeName": {
+ "shape": "LabelAttributeName",
+ "documentation": "The attribute name to use for the label in the output manifest file. This is the key for the key/value pair formed with the label that a worker assigns to the object. The name can't end with \"-metadata\". If you are running a semantic segmentation labeling job, the attribute name must end with \"-ref\". If you are running any other kind of labeling job, the attribute name must not end with \"-ref\".
"
+ },
+ "InputConfig": {
+ "shape": "LabelingJobInputConfig",
+ "documentation": "Input data for the labeling job, such as the Amazon S3 location of the data objects and the location of the manifest file that describes the data objects.
"
+ },
+ "OutputConfig": {
+ "shape": "LabelingJobOutputConfig",
+ "documentation": "The location of the output data and the AWS Key Management Service key ID for the key used to encrypt the output data, if any.
"
+ },
+ "RoleArn": {
+ "shape": "RoleArn",
+ "documentation": "The Amazon Resource Number (ARN) that Amazon SageMaker assumes to perform tasks on your behalf during data labeling. You must grant this role the necessary permissions so that Amazon SageMaker can successfully complete data labeling.
"
+ },
+ "LabelCategoryConfigS3Uri": {
+ "shape": "S3Uri",
+ "documentation": "The S3 URL of the file that defines the categories used to label the data objects.
The file is a JSON structure in the following format:
{
\"document-version\": \"2018-11-28\"
\"labels\": [
{
\"label\": \"label 1\"
},
{
\"label\": \"label 2\"
},
...
{
\"label\": \"label n\"
}
]
}
"
+ },
+ "StoppingConditions": {
+ "shape": "LabelingJobStoppingConditions",
+ "documentation": "A set of conditions for stopping the labeling job. If any of the conditions are met, the job is automatically stopped. You can use these conditions to control the cost of data labeling.
"
+ },
+ "LabelingJobAlgorithmsConfig": {
+ "shape": "LabelingJobAlgorithmsConfig",
+ "documentation": "Configures the information required to perform automated data labeling.
"
+ },
+ "HumanTaskConfig": {
+ "shape": "HumanTaskConfig",
+ "documentation": "Configures the labeling task and how it is presented to workers; including, but not limited to price, keywords, and batch size (task count).
"
+ },
+ "Tags": {
+ "shape": "TagList",
+ "documentation": "An array of key/value pairs. For more information, see Using Cost Allocation Tags in the AWS Billing and Cost Management User Guide.
"
}
}
},
- "DeleteModelPackageInput": {
+ "CreateLabelingJobResponse": {
"type": "structure",
"required": [
- "ModelPackageName"
+ "LabelingJobArn"
],
"members": {
- "ModelPackageName": {
- "shape": "EntityName",
- "documentation": "The name of the model package. The name must have 1 to 63 characters. Valid characters are a-z, A-Z, 0-9, and - (hyphen).
"
+ "LabelingJobArn": {
+ "shape": "LabelingJobArn",
+ "documentation": "The Amazon Resource Name (ARN) of the labeling job. You use this ARN to identify the labeling job.
"
}
}
},
- "DeleteNotebookInstanceInput": {
+ "CreateModelInput": {
"type": "structure",
"required": [
- "NotebookInstanceName"
+ "ModelName",
+ "ExecutionRoleArn"
],
"members": {
- "NotebookInstanceName": {
- "shape": "NotebookInstanceName",
- "documentation": "The name of the Amazon SageMaker notebook instance to delete.
"
+ "ModelName": {
+ "shape": "ModelName",
+ "documentation": "The name of the new model.
"
+ },
+ "PrimaryContainer": {
+ "shape": "ContainerDefinition",
+ "documentation": "The location of the primary docker image containing inference code, associated artifacts, and custom environment map that the inference code uses when the model is deployed for predictions.
"
+ },
+ "Containers": {
+ "shape": "ContainerDefinitionList",
+ "documentation": "Specifies the containers in the inference pipeline.
"
+ },
+ "ExecutionRoleArn": {
+ "shape": "RoleArn",
+ "documentation": "The Amazon Resource Name (ARN) of the IAM role that Amazon SageMaker can assume to access model artifacts and docker image for deployment on ML compute instances or for batch transform jobs. Deploying on ML compute instances is part of model hosting. For more information, see Amazon SageMaker Roles.
To be able to pass this role to Amazon SageMaker, the caller of this API must have the iam:PassRole
permission.
"
+ },
+ "Tags": {
+ "shape": "TagList",
+ "documentation": "An array of key-value pairs. For more information, see Using Cost Allocation Tags in the AWS Billing and Cost Management User Guide.
"
+ },
+ "VpcConfig": {
+ "shape": "VpcConfig",
+ "documentation": "A VpcConfig object that specifies the VPC that you want your model to connect to. Control access to and from your model container by configuring the VPC. VpcConfig
is used in hosting services and in batch transform. For more information, see Protect Endpoints by Using an Amazon Virtual Private Cloud and Protect Data in Batch Transform Jobs by Using an Amazon Virtual Private Cloud.
"
+ },
+ "EnableNetworkIsolation": {
+ "shape": "Boolean",
+ "documentation": "Isolates the model container. No inbound or outbound network calls can be made to or from the model container.
The Semantic Segmentation built-in algorithm does not support network isolation.
"
}
}
},
- "DeleteNotebookInstanceLifecycleConfigInput": {
+ "CreateModelOutput": {
"type": "structure",
"required": [
- "NotebookInstanceLifecycleConfigName"
+ "ModelArn"
],
"members": {
- "NotebookInstanceLifecycleConfigName": {
- "shape": "NotebookInstanceLifecycleConfigName",
- "documentation": "The name of the lifecycle configuration to delete.
"
+ "ModelArn": {
+ "shape": "ModelArn",
+ "documentation": "The ARN of the model created in Amazon SageMaker.
"
}
}
},
- "DeleteTagsInput": {
+ "CreateModelPackageInput": {
"type": "structure",
"required": [
- "ResourceArn",
- "TagKeys"
+ "ModelPackageName"
],
"members": {
- "ResourceArn": {
- "shape": "ResourceArn",
- "documentation": "The Amazon Resource Name (ARN) of the resource whose tags you want to delete.
"
+ "ModelPackageName": {
+ "shape": "EntityName",
+ "documentation": "The name of the model package. The name must have 1 to 63 characters. Valid characters are a-z, A-Z, 0-9, and - (hyphen).
"
},
- "TagKeys": {
- "shape": "TagKeyList",
- "documentation": "An array or one or more tag keys to delete.
"
+ "ModelPackageDescription": {
+ "shape": "EntityDescription",
+ "documentation": "A description of the model package.
"
+ },
+ "InferenceSpecification": {
+ "shape": "InferenceSpecification",
+ "documentation": "Specifies details about inference jobs that can be run with models based on this model package, including the following:
-
The Amazon ECR paths of containers that contain the inference code and model artifacts.
-
The instance types that the model package supports for transform jobs and real-time endpoints used for inference.
-
The input and output content formats that the model package supports for inference.
"
+ },
+ "ValidationSpecification": {
+ "shape": "ModelPackageValidationSpecification",
+ "documentation": "Specifies configurations for one or more transform jobs that Amazon SageMaker runs to test the model package.
"
+ },
+ "SourceAlgorithmSpecification": {
+ "shape": "SourceAlgorithmSpecification",
+ "documentation": "Details about the algorithm that was used to create the model package.
"
+ },
+ "CertifyForMarketplace": {
+ "shape": "CertifyForMarketplace",
+ "documentation": "Whether to certify the model package for listing on AWS Marketplace.
"
}
}
},
- "DeleteTagsOutput": {
- "type": "structure",
- "members": {}
- },
- "DeleteWorkteamRequest": {
+ "CreateModelPackageOutput": {
"type": "structure",
"required": [
- "WorkteamName"
+ "ModelPackageArn"
],
"members": {
- "WorkteamName": {
- "shape": "WorkteamName",
- "documentation": "The name of the work team to delete.
"
+ "ModelPackageArn": {
+ "shape": "ModelPackageArn",
+ "documentation": "The Amazon Resource Name (ARN) of the new model package.
"
}
}
},
- "DeleteWorkteamResponse": {
+ "CreateMonitoringScheduleRequest": {
"type": "structure",
"required": [
- "Success"
+ "MonitoringScheduleName",
+ "MonitoringScheduleConfig"
],
"members": {
- "Success": {
- "shape": "Success",
- "documentation": "Returns true
if the work team was successfully deleted; otherwise, returns false
.
"
- }
- }
- },
- "DeployedImage": {
- "type": "structure",
- "members": {
- "SpecifiedImage": {
- "shape": "Image",
- "documentation": "The image path you specified when you created the model.
"
+ "MonitoringScheduleName": {
+ "shape": "MonitoringScheduleName",
+ "documentation": "The name of the monitoring schedule. The name must be unique within an AWS Region within an AWS account.
"
},
- "ResolvedImage": {
- "shape": "Image",
- "documentation": "The specific digest path of the image hosted in this ProductionVariant
.
"
+ "MonitoringScheduleConfig": {
+ "shape": "MonitoringScheduleConfig",
+ "documentation": "The configuration object that specifies the monitoring schedule and defines the monitoring job.
"
},
- "ResolutionTime": {
- "shape": "Timestamp",
- "documentation": "The date and time when the image path for the model resolved to the ResolvedImage
"
+ "Tags": {
+ "shape": "TagList",
+ "documentation": "(Optional) An array of key-value pairs. For more information, see Using Cost Allocation Tags in the AWS Billing and Cost Management User Guide.
"
}
- },
- "documentation": "Gets the Amazon EC2 Container Registry path of the docker image of the model that is hosted in this ProductionVariant.
If you used the registry/repository[:tag]
form to specify the image path of the primary container when you created the model hosted in this ProductionVariant
, the path resolves to a path of the form registry/repository[@digest]
. A digest is a hash value that identifies a specific version of an image. For information about Amazon ECR paths, see Pulling an Image in the Amazon ECR User Guide.
"
- },
- "DeployedImages": {
- "type": "list",
- "member": {
- "shape": "DeployedImage"
}
},
- "DescribeAlgorithmInput": {
+ "CreateMonitoringScheduleResponse": {
"type": "structure",
"required": [
- "AlgorithmName"
+ "MonitoringScheduleArn"
],
"members": {
- "AlgorithmName": {
- "shape": "ArnOrName",
- "documentation": "The name of the algorithm to describe.
"
+ "MonitoringScheduleArn": {
+ "shape": "MonitoringScheduleArn",
+ "documentation": "The Amazon Resource Name (ARN) of the monitoring schedule.
"
}
}
},
- "DescribeAlgorithmOutput": {
+ "CreateNotebookInstanceInput": {
"type": "structure",
"required": [
- "AlgorithmName",
- "AlgorithmArn",
- "CreationTime",
- "TrainingSpecification",
- "AlgorithmStatus",
- "AlgorithmStatusDetails"
+ "NotebookInstanceName",
+ "InstanceType",
+ "RoleArn"
],
"members": {
- "AlgorithmName": {
- "shape": "EntityName",
- "documentation": "The name of the algorithm being described.
"
- },
- "AlgorithmArn": {
- "shape": "AlgorithmArn",
- "documentation": "The Amazon Resource Name (ARN) of the algorithm.
"
+ "NotebookInstanceName": {
+ "shape": "NotebookInstanceName",
+ "documentation": "The name of the new notebook instance.
"
},
- "AlgorithmDescription": {
- "shape": "EntityDescription",
- "documentation": "A brief summary about the algorithm.
"
+ "InstanceType": {
+ "shape": "InstanceType",
+ "documentation": "The type of ML compute instance to launch for the notebook instance.
"
},
- "CreationTime": {
- "shape": "CreationTime",
- "documentation": "A timestamp specifying when the algorithm was created.
"
+ "SubnetId": {
+ "shape": "SubnetId",
+ "documentation": "The ID of the subnet in a VPC to which you would like to have a connectivity from your ML compute instance.
"
},
- "TrainingSpecification": {
- "shape": "TrainingSpecification",
- "documentation": "Details about training jobs run by this algorithm.
"
+ "SecurityGroupIds": {
+ "shape": "SecurityGroupIds",
+ "documentation": "The VPC security group IDs, in the form sg-xxxxxxxx. The security groups must be for the same VPC as specified in the subnet.
"
},
- "InferenceSpecification": {
- "shape": "InferenceSpecification",
- "documentation": "Details about inference jobs that the algorithm runs.
"
+ "RoleArn": {
+ "shape": "RoleArn",
+ "documentation": " When you send any requests to AWS resources from the notebook instance, Amazon SageMaker assumes this role to perform tasks on your behalf. You must grant this role necessary permissions so Amazon SageMaker can perform these tasks. The policy must allow the Amazon SageMaker service principal (sagemaker.amazonaws.com) permissions to assume this role. For more information, see Amazon SageMaker Roles.
To be able to pass this role to Amazon SageMaker, the caller of this API must have the iam:PassRole
permission.
"
},
- "ValidationSpecification": {
- "shape": "AlgorithmValidationSpecification",
- "documentation": "Details about configurations for one or more training jobs that Amazon SageMaker runs to test the algorithm.
"
+ "KmsKeyId": {
+ "shape": "KmsKeyId",
+ "documentation": "The Amazon Resource Name (ARN) of a AWS Key Management Service key that Amazon SageMaker uses to encrypt data on the storage volume attached to your notebook instance. The KMS key you provide must be enabled. For information, see Enabling and Disabling Keys in the AWS Key Management Service Developer Guide.
"
},
- "AlgorithmStatus": {
- "shape": "AlgorithmStatus",
- "documentation": "The current status of the algorithm.
"
+ "Tags": {
+ "shape": "TagList",
+ "documentation": "A list of tags to associate with the notebook instance. You can add tags later by using the CreateTags
API.
"
},
- "AlgorithmStatusDetails": {
- "shape": "AlgorithmStatusDetails",
- "documentation": "Details about the current status of the algorithm.
"
+ "LifecycleConfigName": {
+ "shape": "NotebookInstanceLifecycleConfigName",
+ "documentation": "The name of a lifecycle configuration to associate with the notebook instance. For information about lifestyle configurations, see Step 2.1: (Optional) Customize a Notebook Instance.
"
},
- "ProductId": {
- "shape": "ProductId",
- "documentation": "The product identifier of the algorithm.
"
+ "DirectInternetAccess": {
+ "shape": "DirectInternetAccess",
+ "documentation": "Sets whether Amazon SageMaker provides internet access to the notebook instance. If you set this to Disabled
this notebook instance will be able to access resources only in your VPC, and will not be able to connect to Amazon SageMaker training and endpoint services unless your configure a NAT Gateway in your VPC.
For more information, see Notebook Instances Are Internet-Enabled by Default. You can set the value of this parameter to Disabled
only if you set a value for the SubnetId
parameter.
"
},
- "CertifyForMarketplace": {
- "shape": "CertifyForMarketplace",
- "documentation": "Whether the algorithm is certified to be listed in AWS Marketplace.
"
+ "VolumeSizeInGB": {
+ "shape": "NotebookInstanceVolumeSizeInGB",
+ "documentation": "The size, in GB, of the ML storage volume to attach to the notebook instance. The default value is 5 GB.
"
+ },
+ "AcceleratorTypes": {
+ "shape": "NotebookInstanceAcceleratorTypes",
+ "documentation": "A list of Elastic Inference (EI) instance types to associate with this notebook instance. Currently, only one instance type can be associated with a notebook instance. For more information, see Using Elastic Inference in Amazon SageMaker.
"
+ },
+ "DefaultCodeRepository": {
+ "shape": "CodeRepositoryNameOrUrl",
+ "documentation": "A Git repository to associate with the notebook instance as its default code repository. This can be either the name of a Git repository stored as a resource in your account, or the URL of a Git repository in AWS CodeCommit or in any other Git repository. When you open a notebook instance, it opens in the directory that contains this repository. For more information, see Associating Git Repositories with Amazon SageMaker Notebook Instances.
"
+ },
+ "AdditionalCodeRepositories": {
+ "shape": "AdditionalCodeRepositoryNamesOrUrls",
+ "documentation": "An array of up to three Git repositories to associate with the notebook instance. These can be either the names of Git repositories stored as resources in your account, or the URL of Git repositories in AWS CodeCommit or in any other Git repository. These repositories are cloned at the same level as the default repository of your notebook instance. For more information, see Associating Git Repositories with Amazon SageMaker Notebook Instances.
"
+ },
+ "RootAccess": {
+ "shape": "RootAccess",
+ "documentation": "Whether root access is enabled or disabled for users of the notebook instance. The default value is Enabled
.
Lifecycle configurations need root access to be able to set up a notebook instance. Because of this, lifecycle configurations associated with a notebook instance always run with root access even if you disable root access for users.
"
}
}
},
- "DescribeCodeRepositoryInput": {
+ "CreateNotebookInstanceLifecycleConfigInput": {
"type": "structure",
"required": [
- "CodeRepositoryName"
+ "NotebookInstanceLifecycleConfigName"
],
"members": {
- "CodeRepositoryName": {
- "shape": "EntityName",
- "documentation": "The name of the Git repository to describe.
"
+ "NotebookInstanceLifecycleConfigName": {
+ "shape": "NotebookInstanceLifecycleConfigName",
+ "documentation": "The name of the lifecycle configuration.
"
+ },
+ "OnCreate": {
+ "shape": "NotebookInstanceLifecycleConfigList",
+ "documentation": "A shell script that runs only once, when you create a notebook instance. The shell script must be a base64-encoded string.
"
+ },
+ "OnStart": {
+ "shape": "NotebookInstanceLifecycleConfigList",
+ "documentation": "A shell script that runs every time you start a notebook instance, including when you create the notebook instance. The shell script must be a base64-encoded string.
"
}
}
},
- "DescribeCodeRepositoryOutput": {
+ "CreateNotebookInstanceLifecycleConfigOutput": {
+ "type": "structure",
+ "members": {
+ "NotebookInstanceLifecycleConfigArn": {
+ "shape": "NotebookInstanceLifecycleConfigArn",
+ "documentation": "The Amazon Resource Name (ARN) of the lifecycle configuration.
"
+ }
+ }
+ },
+ "CreateNotebookInstanceOutput": {
+ "type": "structure",
+ "members": {
+ "NotebookInstanceArn": {
+ "shape": "NotebookInstanceArn",
+ "documentation": "The Amazon Resource Name (ARN) of the notebook instance.
"
+ }
+ }
+ },
+ "CreatePresignedDomainUrlRequest": {
"type": "structure",
"required": [
- "CodeRepositoryName",
- "CodeRepositoryArn",
- "CreationTime",
- "LastModifiedTime"
+ "DomainId",
+ "UserProfileName"
],
"members": {
- "CodeRepositoryName": {
- "shape": "EntityName",
- "documentation": "The name of the Git repository.
"
- },
- "CodeRepositoryArn": {
- "shape": "CodeRepositoryArn",
- "documentation": "The Amazon Resource Name (ARN) of the Git repository.
"
- },
- "CreationTime": {
- "shape": "CreationTime",
- "documentation": "The date and time that the repository was created.
"
+ "DomainId": {
+ "shape": "DomainId",
+ "documentation": "The domain ID.
"
},
- "LastModifiedTime": {
- "shape": "LastModifiedTime",
- "documentation": "The date and time that the repository was last changed.
"
+ "UserProfileName": {
+ "shape": "UserProfileName",
+ "documentation": "The name of the UserProfile to sign-in as.
"
},
- "GitConfig": {
- "shape": "GitConfig",
- "documentation": "Configuration details about the repository, including the URL where the repository is located, the default branch, and the Amazon Resource Name (ARN) of the AWS Secrets Manager secret that contains the credentials used to access the repository.
"
+ "SessionExpirationDurationInSeconds": {
+ "shape": "SessionExpirationDurationInSeconds",
+ "documentation": "The session expiration duration in seconds.
"
}
}
},
- "DescribeCompilationJobRequest": {
+ "CreatePresignedDomainUrlResponse": {
+ "type": "structure",
+ "members": {
+ "AuthorizedUrl": {
+ "shape": "PresignedDomainUrl",
+ "documentation": "The presigned URL.
"
+ }
+ }
+ },
+ "CreatePresignedNotebookInstanceUrlInput": {
"type": "structure",
"required": [
- "CompilationJobName"
+ "NotebookInstanceName"
],
"members": {
- "CompilationJobName": {
- "shape": "EntityName",
- "documentation": "The name of the model compilation job that you want information about.
"
+ "NotebookInstanceName": {
+ "shape": "NotebookInstanceName",
+ "documentation": "The name of the notebook instance.
"
+ },
+ "SessionExpirationDurationInSeconds": {
+ "shape": "SessionExpirationDurationInSeconds",
+ "documentation": "The duration of the session, in seconds. The default is 12 hours.
"
}
}
},
- "DescribeCompilationJobResponse": {
+ "CreatePresignedNotebookInstanceUrlOutput": {
+ "type": "structure",
+ "members": {
+ "AuthorizedUrl": {
+ "shape": "NotebookInstanceUrl",
+ "documentation": "A JSON object that contains the URL string.
"
+ }
+ }
+ },
+ "CreateProcessingJobRequest": {
"type": "structure",
"required": [
- "CompilationJobName",
- "CompilationJobArn",
- "CompilationJobStatus",
- "StoppingCondition",
- "CreationTime",
- "LastModifiedTime",
- "FailureReason",
- "ModelArtifacts",
- "RoleArn",
- "InputConfig",
- "OutputConfig"
+ "ProcessingJobName",
+ "ProcessingResources",
+ "AppSpecification",
+ "RoleArn"
],
"members": {
- "CompilationJobName": {
- "shape": "EntityName",
- "documentation": "The name of the model compilation job.
"
- },
- "CompilationJobArn": {
- "shape": "CompilationJobArn",
- "documentation": "The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker assumes to perform the model compilation job.
"
+ "ProcessingInputs": {
+ "shape": "ProcessingInputs",
+ "documentation": "For each input, data is downloaded from S3 into the processing container before the processing job begins running if \"S3InputMode\" is set to File
.
"
},
- "CompilationJobStatus": {
- "shape": "CompilationJobStatus",
- "documentation": "The status of the model compilation job.
"
+ "ProcessingOutputConfig": {
+ "shape": "ProcessingOutputConfig",
+ "documentation": "Output configuration for the processing job.
"
},
- "CompilationStartTime": {
- "shape": "Timestamp",
- "documentation": "The time when the model compilation job started the CompilationJob
instances.
You are billed for the time between this timestamp and the timestamp in the DescribeCompilationJobResponse$CompilationEndTime field. In Amazon CloudWatch Logs, the start time might be later than this time. That's because it takes time to download the compilation job, which depends on the size of the compilation job container.
"
+ "ProcessingJobName": {
+ "shape": "ProcessingJobName",
+ "documentation": " The name of the processing job. The name must be unique within an AWS Region in the AWS account.
"
},
- "CompilationEndTime": {
- "shape": "Timestamp",
- "documentation": "The time when the model compilation job on a compilation job instance ended. For a successful or stopped job, this is when the job's model artifacts have finished uploading. For a failed job, this is when Amazon SageMaker detected that the job failed.
"
+ "ProcessingResources": {
+ "shape": "ProcessingResources",
+ "documentation": "Identifies the resources, ML compute instances, and ML storage volumes to deploy for a processing job. In distributed training, you specify more than one instance.
"
},
"StoppingCondition": {
- "shape": "StoppingCondition",
- "documentation": "Specifies a limit to how long a model compilation job can run. When the job reaches the time limit, Amazon SageMaker ends the compilation job. Use this API to cap model training costs.
"
- },
- "CreationTime": {
- "shape": "CreationTime",
- "documentation": "The time that the model compilation job was created.
"
+ "shape": "ProcessingStoppingCondition",
+ "documentation": "The time limit for how long the processing job is allowed to run.
"
},
- "LastModifiedTime": {
- "shape": "LastModifiedTime",
- "documentation": "The time that the status of the model compilation job was last modified.
"
+ "AppSpecification": {
+ "shape": "AppSpecification",
+ "documentation": "Configures the processing job to run a specified Docker container image.
"
},
- "FailureReason": {
- "shape": "FailureReason",
- "documentation": "If a model compilation job failed, the reason it failed.
"
+ "Environment": {
+ "shape": "ProcessingEnvironmentMap",
+ "documentation": "Sets the environment variables in the Docker container.
"
},
- "ModelArtifacts": {
- "shape": "ModelArtifacts",
- "documentation": "Information about the location in Amazon S3 that has been configured for storing the model artifacts used in the compilation job.
"
+ "NetworkConfig": {
+ "shape": "NetworkConfig",
+ "documentation": "Networking options for a processing job.
"
},
"RoleArn": {
"shape": "RoleArn",
- "documentation": "The Amazon Resource Name (ARN) of the model compilation job.
"
+ "documentation": "The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker can assume to perform tasks on your behalf.
"
},
- "InputConfig": {
- "shape": "InputConfig",
- "documentation": "Information about the location in Amazon S3 of the input model artifacts, the name and shape of the expected data inputs, and the framework in which the model was trained.
"
+ "Tags": {
+ "shape": "TagList",
+ "documentation": "(Optional) An array of key-value pairs. For more information, see Using Cost Allocation Tags in the AWS Billing and Cost Management User Guide.
"
},
- "OutputConfig": {
- "shape": "OutputConfig",
- "documentation": "Information about the output location for the compiled model and the target device that the model runs on.
"
+ "ExperimentConfig": {
+ "shape": "ExperimentConfig"
}
}
},
- "DescribeEndpointConfigInput": {
+ "CreateProcessingJobResponse": {
"type": "structure",
"required": [
- "EndpointConfigName"
+ "ProcessingJobArn"
],
"members": {
- "EndpointConfigName": {
- "shape": "EndpointConfigName",
- "documentation": "The name of the endpoint configuration.
"
+ "ProcessingJobArn": {
+ "shape": "ProcessingJobArn",
+ "documentation": "The Amazon Resource Name (ARN) of the processing job.
"
}
}
},
- "DescribeEndpointConfigOutput": {
+ "CreateTrainingJobRequest": {
"type": "structure",
"required": [
- "EndpointConfigName",
- "EndpointConfigArn",
- "ProductionVariants",
- "CreationTime"
+ "TrainingJobName",
+ "AlgorithmSpecification",
+ "RoleArn",
+ "OutputDataConfig",
+ "ResourceConfig",
+ "StoppingCondition"
],
"members": {
- "EndpointConfigName": {
- "shape": "EndpointConfigName",
- "documentation": "Name of the Amazon SageMaker endpoint configuration.
"
- },
- "EndpointConfigArn": {
- "shape": "EndpointConfigArn",
- "documentation": "The Amazon Resource Name (ARN) of the endpoint configuration.
"
+ "TrainingJobName": {
+ "shape": "TrainingJobName",
+ "documentation": "The name of the training job. The name must be unique within an AWS Region in an AWS account.
"
},
- "ProductionVariants": {
- "shape": "ProductionVariantList",
- "documentation": "An array of ProductionVariant
objects, one for each model that you want to host at this endpoint.
"
+ "HyperParameters": {
+ "shape": "HyperParameters",
+ "documentation": "Algorithm-specific parameters that influence the quality of the model. You set hyperparameters before you start the learning process. For a list of hyperparameters for each training algorithm provided by Amazon SageMaker, see Algorithms.
You can specify a maximum of 100 hyperparameters. Each hyperparameter is a key-value pair. Each key and value is limited to 256 characters, as specified by the Length Constraint
.
"
},
- "KmsKeyId": {
- "shape": "KmsKeyId",
- "documentation": "AWS KMS key ID Amazon SageMaker uses to encrypt data when storing it on the ML storage volume attached to the instance.
"
+ "AlgorithmSpecification": {
+ "shape": "AlgorithmSpecification",
+ "documentation": "The registry path of the Docker image that contains the training algorithm and algorithm-specific metadata, including the input mode. For more information about algorithms provided by Amazon SageMaker, see Algorithms. For information about providing your own algorithms, see Using Your Own Algorithms with Amazon SageMaker.
"
},
- "CreationTime": {
- "shape": "Timestamp",
- "documentation": "A timestamp that shows when the endpoint configuration was created.
"
+ "RoleArn": {
+ "shape": "RoleArn",
+ "documentation": "The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker can assume to perform tasks on your behalf.
During model training, Amazon SageMaker needs your permission to read input data from an S3 bucket, download a Docker image that contains training code, write model artifacts to an S3 bucket, write logs to Amazon CloudWatch Logs, and publish metrics to Amazon CloudWatch. You grant permissions for all of these tasks to an IAM role. For more information, see Amazon SageMaker Roles.
To be able to pass this role to Amazon SageMaker, the caller of this API must have the iam:PassRole
permission.
"
+ },
+ "InputDataConfig": {
+ "shape": "InputDataConfig",
+ "documentation": "An array of Channel
objects. Each channel is a named input source. InputDataConfig
describes the input data and its location.
Algorithms can accept input data from one or more channels. For example, an algorithm might have two channels of input data, training_data
and validation_data
. The configuration for each channel provides the S3, EFS, or FSx location where the input data is stored. It also provides information about the stored data: the MIME type, compression method, and whether the data is wrapped in RecordIO format.
Depending on the input mode that the algorithm supports, Amazon SageMaker either copies input data files from an S3 bucket to a local directory in the Docker container, or makes it available as input streams. For example, if you specify an EFS location, input data files will be made available as input streams. They do not need to be downloaded.
"
+ },
+ "OutputDataConfig": {
+ "shape": "OutputDataConfig",
+ "documentation": "Specifies the path to the S3 location where you want to store model artifacts. Amazon SageMaker creates subfolders for the artifacts.
"
+ },
+ "ResourceConfig": {
+ "shape": "ResourceConfig",
+ "documentation": "The resources, including the ML compute instances and ML storage volumes, to use for model training.
ML storage volumes store model artifacts and incremental states. Training algorithms might also use ML storage volumes for scratch space. If you want Amazon SageMaker to use the ML storage volume to store the training data, choose File
as the TrainingInputMode
in the algorithm specification. For distributed training algorithms, specify an instance count greater than 1.
"
+ },
+ "VpcConfig": {
+ "shape": "VpcConfig",
+ "documentation": "A VpcConfig object that specifies the VPC that you want your training job to connect to. Control access to and from your training container by configuring the VPC. For more information, see Protect Training Jobs by Using an Amazon Virtual Private Cloud.
"
+ },
+ "StoppingCondition": {
+ "shape": "StoppingCondition",
+ "documentation": "Specifies a limit to how long a model training job can run. When the job reaches the time limit, Amazon SageMaker ends the training job. Use this API to cap model training costs.
To stop a job, Amazon SageMaker sends the algorithm the SIGTERM
signal, which delays job termination for 120 seconds. Algorithms can use this 120-second window to save the model artifacts, so the results of training are not lost.
"
+ },
+ "Tags": {
+ "shape": "TagList",
+ "documentation": "An array of key-value pairs. For more information, see Using Cost Allocation Tags in the AWS Billing and Cost Management User Guide.
"
+ },
+ "EnableNetworkIsolation": {
+ "shape": "Boolean",
+ "documentation": "Isolates the training container. No inbound or outbound network calls can be made, except for calls between peers within a training cluster for distributed training. If you enable network isolation for training jobs that are configured to use a VPC, Amazon SageMaker downloads and uploads customer data and model artifacts through the specified VPC, but the training container does not have network access.
The Semantic Segmentation built-in algorithm does not support network isolation.
"
+ },
+ "EnableInterContainerTrafficEncryption": {
+ "shape": "Boolean",
+ "documentation": "To encrypt all communications between ML compute instances in distributed training, choose True
. Encryption provides greater security for distributed training, but training might take longer. How long it takes depends on the amount of communication between compute instances, especially if you use a deep learning algorithm in distributed training. For more information, see Protect Communications Between ML Compute Instances in a Distributed Training Job.
"
+ },
+ "EnableManagedSpotTraining": {
+ "shape": "Boolean",
+ "documentation": "To train models using managed spot training, choose True
. Managed spot training provides a fully managed and scalable infrastructure for training machine learning models. this option is useful when training jobs can be interrupted and when there is flexibility when the training job is run.
The complete and intermediate results of jobs are stored in an Amazon S3 bucket, and can be used as a starting point to train models incrementally. Amazon SageMaker provides metrics and logs in CloudWatch. They can be used to see when managed spot training jobs are running, interrupted, resumed, or completed.
"
+ },
+ "CheckpointConfig": {
+ "shape": "CheckpointConfig",
+ "documentation": "Contains information about the output location for managed spot training checkpoint data.
"
+ },
+ "DebugHookConfig": {
+ "shape": "DebugHookConfig"
+ },
+ "DebugRuleConfigurations": {
+ "shape": "DebugRuleConfigurations",
+ "documentation": "Configuration information for debugging rules.
"
+ },
+ "TensorBoardOutputConfig": {
+ "shape": "TensorBoardOutputConfig"
+ },
+ "ExperimentConfig": {
+ "shape": "ExperimentConfig"
}
}
},
- "DescribeEndpointInput": {
+ "CreateTrainingJobResponse": {
"type": "structure",
"required": [
- "EndpointName"
+ "TrainingJobArn"
],
"members": {
- "EndpointName": {
- "shape": "EndpointName",
- "documentation": "The name of the endpoint.
"
+ "TrainingJobArn": {
+ "shape": "TrainingJobArn",
+ "documentation": "The Amazon Resource Name (ARN) of the training job.
"
}
}
},
- "DescribeEndpointOutput": {
+ "CreateTransformJobRequest": {
"type": "structure",
"required": [
- "EndpointName",
- "EndpointArn",
- "EndpointConfigName",
- "EndpointStatus",
- "CreationTime",
- "LastModifiedTime"
+ "TransformJobName",
+ "ModelName",
+ "TransformInput",
+ "TransformOutput",
+ "TransformResources"
],
"members": {
- "EndpointName": {
- "shape": "EndpointName",
- "documentation": "Name of the endpoint.
"
+ "TransformJobName": {
+ "shape": "TransformJobName",
+ "documentation": "The name of the transform job. The name must be unique within an AWS Region in an AWS account.
"
},
- "EndpointArn": {
- "shape": "EndpointArn",
- "documentation": "The Amazon Resource Name (ARN) of the endpoint.
"
+ "ModelName": {
+ "shape": "ModelName",
+ "documentation": "The name of the model that you want to use for the transform job. ModelName
must be the name of an existing Amazon SageMaker model within an AWS Region in an AWS account.
"
},
- "EndpointConfigName": {
- "shape": "EndpointConfigName",
- "documentation": "The name of the endpoint configuration associated with this endpoint.
"
+ "MaxConcurrentTransforms": {
+ "shape": "MaxConcurrentTransforms",
+ "documentation": "The maximum number of parallel requests that can be sent to each instance in a transform job. If MaxConcurrentTransforms
is set to 0
or left unset, Amazon SageMaker checks the optional execution-parameters to determine the settings for your chosen algorithm. If the execution-parameters endpoint is not enabled, the default value is 1
. For more information on execution-parameters, see How Containers Serve Requests. For built-in algorithms, you don't need to set a value for MaxConcurrentTransforms
.
"
},
- "ProductionVariants": {
- "shape": "ProductionVariantSummaryList",
- "documentation": " An array of ProductionVariantSummary objects, one for each model hosted behind this endpoint.
"
+ "MaxPayloadInMB": {
+ "shape": "MaxPayloadInMB",
+ "documentation": "The maximum allowed size of the payload, in MB. A payload is the data portion of a record (without metadata). The value in MaxPayloadInMB
must be greater than, or equal to, the size of a single record. To estimate the size of a record in MB, divide the size of your dataset by the number of records. To ensure that the records fit within the maximum payload size, we recommend using a slightly larger value. The default value is 6
MB.
For cases where the payload might be arbitrarily large and is transmitted using HTTP chunked encoding, set the value to 0
. This feature works only in supported algorithms. Currently, Amazon SageMaker built-in algorithms do not support HTTP chunked encoding.
"
},
- "EndpointStatus": {
- "shape": "EndpointStatus",
- "documentation": "The status of the endpoint.
-
OutOfService
: Endpoint is not available to take incoming requests.
-
Creating
: CreateEndpoint is executing.
-
Updating
: UpdateEndpoint or UpdateEndpointWeightsAndCapacities is executing.
-
SystemUpdating
: Endpoint is undergoing maintenance and cannot be updated or deleted or re-scaled until it has completed. This maintenance operation does not change any customer-specified values such as VPC config, KMS encryption, model, instance type, or instance count.
-
RollingBack
: Endpoint fails to scale up or down or change its variant weight and is in the process of rolling back to its previous configuration. Once the rollback completes, endpoint returns to an InService
status. This transitional status only applies to an endpoint that has autoscaling enabled and is undergoing variant weight or capacity changes as part of an UpdateEndpointWeightsAndCapacities call or when the UpdateEndpointWeightsAndCapacities operation is called explicitly.
-
InService
: Endpoint is available to process incoming requests.
-
Deleting
: DeleteEndpoint is executing.
-
Failed
: Endpoint could not be created, updated, or re-scaled. Use DescribeEndpointOutput$FailureReason for information about the failure. DeleteEndpoint is the only operation that can be performed on a failed endpoint.
"
+ "BatchStrategy": {
+ "shape": "BatchStrategy",
+ "documentation": "Specifies the number of records to include in a mini-batch for an HTTP inference request. A record is a single unit of input data that inference can be made on. For example, a single line in a CSV file is a record.
To enable the batch strategy, you must set the SplitType
property of the DataProcessing object to Line
, RecordIO
, or TFRecord
.
To use only one record when making an HTTP invocation request to a container, set BatchStrategy
to SingleRecord
and SplitType
to Line
.
To fit as many records in a mini-batch as can fit within the MaxPayloadInMB
limit, set BatchStrategy
to MultiRecord
and SplitType
to Line
.
"
},
- "FailureReason": {
- "shape": "FailureReason",
- "documentation": "If the status of the endpoint is Failed
, the reason why it failed.
"
+ "Environment": {
+ "shape": "TransformEnvironmentMap",
+ "documentation": "The environment variables to set in the Docker container. We support up to 16 key and values entries in the map.
"
},
- "CreationTime": {
- "shape": "Timestamp",
- "documentation": "A timestamp that shows when the endpoint was created.
"
+ "TransformInput": {
+ "shape": "TransformInput",
+ "documentation": "Describes the input source and the way the transform job consumes it.
"
},
- "LastModifiedTime": {
- "shape": "Timestamp",
- "documentation": "A timestamp that shows when the endpoint was last modified.
"
+ "TransformOutput": {
+ "shape": "TransformOutput",
+ "documentation": "Describes the results of the transform job.
"
+ },
+ "TransformResources": {
+ "shape": "TransformResources",
+ "documentation": "Describes the resources, including ML instance types and ML instance count, to use for the transform job.
"
+ },
+ "DataProcessing": {
+ "shape": "DataProcessing",
+ "documentation": "The data structure used to specify the data to be used for inference in a batch transform job and to associate the data that is relevant to the prediction results in the output. The input filter provided allows you to exclude input data that is not needed for inference in a batch transform job. The output filter provided allows you to include input data relevant to interpreting the predictions in the output from the job. For more information, see Associate Prediction Results with their Corresponding Input Records.
"
+ },
+ "Tags": {
+ "shape": "TagList",
+ "documentation": "(Optional) An array of key-value pairs. For more information, see Using Cost Allocation Tags in the AWS Billing and Cost Management User Guide.
"
+ },
+ "ExperimentConfig": {
+ "shape": "ExperimentConfig"
}
}
},
- "DescribeHyperParameterTuningJobRequest": {
+ "CreateTransformJobResponse": {
"type": "structure",
"required": [
- "HyperParameterTuningJobName"
+ "TransformJobArn"
],
"members": {
- "HyperParameterTuningJobName": {
- "shape": "HyperParameterTuningJobName",
- "documentation": "The name of the tuning job to describe.
"
+ "TransformJobArn": {
+ "shape": "TransformJobArn",
+ "documentation": "The Amazon Resource Name (ARN) of the transform job.
"
}
}
},
- "DescribeHyperParameterTuningJobResponse": {
+ "CreateTrialComponentRequest": {
"type": "structure",
"required": [
- "HyperParameterTuningJobName",
- "HyperParameterTuningJobArn",
- "HyperParameterTuningJobConfig",
- "HyperParameterTuningJobStatus",
- "CreationTime",
- "TrainingJobStatusCounters",
- "ObjectiveStatusCounters"
+ "TrialComponentName"
],
"members": {
- "HyperParameterTuningJobName": {
- "shape": "HyperParameterTuningJobName",
- "documentation": "The name of the tuning job.
"
- },
- "HyperParameterTuningJobArn": {
- "shape": "HyperParameterTuningJobArn",
- "documentation": "The Amazon Resource Name (ARN) of the tuning job.
"
- },
- "HyperParameterTuningJobConfig": {
- "shape": "HyperParameterTuningJobConfig",
- "documentation": "The HyperParameterTuningJobConfig object that specifies the configuration of the tuning job.
"
+ "TrialComponentName": {
+ "shape": "ExperimentEntityName",
+ "documentation": "The name of the component. The name must be unique in your AWS account and is not case-sensitive.
"
},
- "TrainingJobDefinition": {
- "shape": "HyperParameterTrainingJobDefinition",
- "documentation": "The HyperParameterTrainingJobDefinition object that specifies the definition of the training jobs that this tuning job launches.
"
+ "DisplayName": {
+ "shape": "ExperimentEntityName",
+ "documentation": "The name of the component as displayed. The name doesn't need to be unique. If DisplayName
isn't specified, TrialComponentName
is displayed.
"
},
- "HyperParameterTuningJobStatus": {
- "shape": "HyperParameterTuningJobStatus",
- "documentation": "The status of the tuning job: InProgress, Completed, Failed, Stopping, or Stopped.
"
+ "Status": {
+ "shape": "TrialComponentStatus",
+ "documentation": "The status of the component. States include:
-
InProgress
-
Completed
-
Failed
"
},
- "CreationTime": {
+ "StartTime": {
"shape": "Timestamp",
- "documentation": "The date and time that the tuning job started.
"
+ "documentation": "When the component started.
"
},
- "HyperParameterTuningEndTime": {
+ "EndTime": {
"shape": "Timestamp",
- "documentation": "The date and time that the tuning job ended.
"
+ "documentation": "When the component ended.
"
},
- "LastModifiedTime": {
- "shape": "Timestamp",
- "documentation": "The date and time that the status of the tuning job was modified.
"
+ "Parameters": {
+ "shape": "TrialComponentParameters",
+ "documentation": "The hyperparameters for the component.
"
},
- "TrainingJobStatusCounters": {
- "shape": "TrainingJobStatusCounters",
- "documentation": "The TrainingJobStatusCounters object that specifies the number of training jobs, categorized by status, that this tuning job launched.
"
+ "InputArtifacts": {
+ "shape": "TrialComponentArtifacts",
+ "documentation": "The input artifacts for the component. Examples of input artifacts are datasets, algorithms, hyperparameters, source code, and instance types.
"
},
- "ObjectiveStatusCounters": {
- "shape": "ObjectiveStatusCounters",
- "documentation": "The ObjectiveStatusCounters object that specifies the number of training jobs, categorized by the status of their final objective metric, that this tuning job launched.
"
+ "OutputArtifacts": {
+ "shape": "TrialComponentArtifacts",
+ "documentation": "The output artifacts for the component. Examples of output artifacts are metrics, snapshots, logs, and images.
"
},
- "BestTrainingJob": {
- "shape": "HyperParameterTrainingJobSummary",
- "documentation": "A TrainingJobSummary object that describes the training job that completed with the best current HyperParameterTuningJobObjective.
"
+ "Tags": {
+ "shape": "TagList",
+ "documentation": "A list of tags to associate with the component. You can use Search API to search on the tags.
"
+ }
+ }
+ },
+ "CreateTrialComponentResponse": {
+ "type": "structure",
+ "members": {
+ "TrialComponentArn": {
+ "shape": "TrialComponentArn",
+ "documentation": "The Amazon Resource Name (ARN) of the trial component.
"
+ }
+ }
+ },
+ "CreateTrialRequest": {
+ "type": "structure",
+ "required": [
+ "TrialName",
+ "ExperimentName"
+ ],
+ "members": {
+ "TrialName": {
+ "shape": "ExperimentEntityName",
+ "documentation": "The name of the trial. The name must be unique in your AWS account and is not case-sensitive.
"
},
- "OverallBestTrainingJob": {
- "shape": "HyperParameterTrainingJobSummary",
- "documentation": "If the hyperparameter tuning job is an warm start tuning job with a WarmStartType
of IDENTICAL_DATA_AND_ALGORITHM
, this is the TrainingJobSummary for the training job with the best objective metric value of all training jobs launched by this tuning job and all parent jobs specified for the warm start tuning job.
"
+ "DisplayName": {
+ "shape": "ExperimentEntityName",
+ "documentation": "The name of the trial as displayed. The name doesn't need to be unique. If DisplayName
isn't specified, TrialName
is displayed.
"
},
- "WarmStartConfig": {
- "shape": "HyperParameterTuningJobWarmStartConfig",
- "documentation": "The configuration for starting the hyperparameter parameter tuning job using one or more previous tuning jobs as a starting point. The results of previous tuning jobs are used to inform which combinations of hyperparameters to search over in the new tuning job.
"
+ "ExperimentName": {
+ "shape": "ExperimentEntityName",
+ "documentation": "The name of the experiment to associate the trial with.
"
},
- "FailureReason": {
- "shape": "FailureReason",
- "documentation": "If the tuning job failed, the reason it failed.
"
+ "Tags": {
+ "shape": "TagList",
+ "documentation": "A list of tags to associate with the trial. You can use Search API to search on the tags.
"
}
}
},
- "DescribeLabelingJobRequest": {
+ "CreateTrialResponse": {
"type": "structure",
- "required": [
- "LabelingJobName"
- ],
"members": {
- "LabelingJobName": {
- "shape": "LabelingJobName",
- "documentation": "The name of the labeling job to return information for.
"
+ "TrialArn": {
+ "shape": "TrialArn",
+ "documentation": "The Amazon Resource Name (ARN) of the trial.
"
}
}
},
- "DescribeLabelingJobResponse": {
+ "CreateUserProfileRequest": {
"type": "structure",
"required": [
- "LabelingJobStatus",
- "LabelCounters",
- "CreationTime",
- "LastModifiedTime",
- "JobReferenceCode",
- "LabelingJobName",
- "LabelingJobArn",
- "InputConfig",
- "OutputConfig",
- "RoleArn",
- "HumanTaskConfig"
+ "DomainId",
+ "UserProfileName"
],
"members": {
- "LabelingJobStatus": {
- "shape": "LabelingJobStatus",
- "documentation": "The processing status of the labeling job.
"
- },
- "LabelCounters": {
- "shape": "LabelCounters",
- "documentation": "Provides a breakdown of the number of data objects labeled by humans, the number of objects labeled by machine, the number of objects than couldn't be labeled, and the total number of objects labeled.
"
- },
- "FailureReason": {
- "shape": "FailureReason",
- "documentation": "If the job failed, the reason that it failed.
"
+ "DomainId": {
+ "shape": "DomainId",
+ "documentation": "The ID of the associated Domain.
"
},
- "CreationTime": {
- "shape": "Timestamp",
- "documentation": "The date and time that the labeling job was created.
"
+ "UserProfileName": {
+ "shape": "UserProfileName",
+ "documentation": "A name for the UserProfile.
"
},
- "LastModifiedTime": {
- "shape": "Timestamp",
- "documentation": "The date and time that the labeling job was last updated.
"
+ "SingleSignOnUserIdentifier": {
+ "shape": "SingleSignOnUserIdentifier",
+ "documentation": "A specifier for the type of value specified in SingleSignOnUserValue. Currently, the only supported value is \"UserName\". If the Domain's AuthMode is SSO, this field is required. If the Domain's AuthMode is not SSO, this field cannot be specified.
"
},
- "JobReferenceCode": {
- "shape": "JobReferenceCode",
- "documentation": "A unique identifier for work done as part of a labeling job.
"
+ "SingleSignOnUserValue": {
+ "shape": "String256",
+ "documentation": "The username of the associated AWS Single Sign-On User for this UserProfile. If the Domain's AuthMode is SSO, this field is required, and must match a valid username of a user in your directory. If the Domain's AuthMode is not SSO, this field cannot be specified.
"
},
- "LabelingJobName": {
- "shape": "LabelingJobName",
- "documentation": "The name assigned to the labeling job when it was created.
"
+ "Tags": {
+ "shape": "TagList",
+ "documentation": "Each tag consists of a key and an optional value. Tag keys must be unique per resource.
"
},
- "LabelingJobArn": {
- "shape": "LabelingJobArn",
- "documentation": "The Amazon Resource Name (ARN) of the labeling job.
"
- },
- "LabelAttributeName": {
- "shape": "LabelAttributeName",
- "documentation": "The attribute used as the label in the output manifest file.
"
- },
- "InputConfig": {
- "shape": "LabelingJobInputConfig",
- "documentation": "Input configuration information for the labeling job, such as the Amazon S3 location of the data objects and the location of the manifest file that describes the data objects.
"
- },
- "OutputConfig": {
- "shape": "LabelingJobOutputConfig",
- "documentation": "The location of the job's output data and the AWS Key Management Service key ID for the key used to encrypt the output data, if any.
"
- },
- "RoleArn": {
- "shape": "RoleArn",
- "documentation": "The Amazon Resource Name (ARN) that Amazon SageMaker assumes to perform tasks on your behalf during data labeling.
"
- },
- "LabelCategoryConfigS3Uri": {
- "shape": "S3Uri",
- "documentation": "The S3 location of the JSON file that defines the categories used to label data objects.
The file is a JSON structure in the following format:
{
\"document-version\": \"2018-11-28\"
\"labels\": [
{
\"label\": \"label 1\"
},
{
\"label\": \"label 2\"
},
...
{
\"label\": \"label n\"
}
]
}
"
- },
- "StoppingConditions": {
- "shape": "LabelingJobStoppingConditions",
- "documentation": "A set of conditions for stopping a labeling job. If any of the conditions are met, the job is automatically stopped.
"
- },
- "LabelingJobAlgorithmsConfig": {
- "shape": "LabelingJobAlgorithmsConfig",
- "documentation": "Configuration information for automated data labeling.
"
- },
- "HumanTaskConfig": {
- "shape": "HumanTaskConfig",
- "documentation": "Configuration information required for human workers to complete a labeling task.
"
- },
- "Tags": {
- "shape": "TagList",
- "documentation": "An array of key/value pairs. For more information, see Using Cost Allocation Tags in the AWS Billing and Cost Management User Guide.
"
- },
- "LabelingJobOutput": {
- "shape": "LabelingJobOutput",
- "documentation": "The location of the output produced by the labeling job.
"
+ "UserSettings": {
+ "shape": "UserSettings",
+ "documentation": "A collection of settings.
"
}
}
},
- "DescribeModelInput": {
+ "CreateUserProfileResponse": {
"type": "structure",
- "required": [
- "ModelName"
- ],
"members": {
- "ModelName": {
- "shape": "ModelName",
- "documentation": "The name of the model.
"
+ "UserProfileArn": {
+ "shape": "UserProfileArn",
+ "documentation": "The user profile Amazon Resource Name (ARN).
"
}
}
},
- "DescribeModelOutput": {
+ "CreateWorkteamRequest": {
"type": "structure",
"required": [
- "ModelName",
- "ExecutionRoleArn",
- "CreationTime",
- "ModelArn"
+ "WorkteamName",
+ "MemberDefinitions",
+ "Description"
],
"members": {
- "ModelName": {
- "shape": "ModelName",
- "documentation": "Name of the Amazon SageMaker model.
"
- },
- "PrimaryContainer": {
- "shape": "ContainerDefinition",
- "documentation": "The location of the primary inference code, associated artifacts, and custom environment map that the inference code uses when it is deployed in production.
"
- },
- "Containers": {
- "shape": "ContainerDefinitionList",
- "documentation": "The containers in the inference pipeline.
"
- },
- "ExecutionRoleArn": {
- "shape": "RoleArn",
- "documentation": "The Amazon Resource Name (ARN) of the IAM role that you specified for the model.
"
+ "WorkteamName": {
+ "shape": "WorkteamName",
+ "documentation": "The name of the work team. Use this name to identify the work team.
"
},
- "VpcConfig": {
- "shape": "VpcConfig",
- "documentation": "A VpcConfig object that specifies the VPC that this model has access to. For more information, see Protect Endpoints by Using an Amazon Virtual Private Cloud
"
+ "MemberDefinitions": {
+ "shape": "MemberDefinitions",
+ "documentation": "A list of MemberDefinition
objects that contains objects that identify the Amazon Cognito user pool that makes up the work team. For more information, see Amazon Cognito User Pools.
All of the CognitoMemberDefinition
objects that make up the member definition must have the same ClientId
and UserPool
values.
"
},
- "CreationTime": {
- "shape": "Timestamp",
- "documentation": "A timestamp that shows when the model was created.
"
+ "Description": {
+ "shape": "String200",
+ "documentation": "A description of the work team.
"
},
- "ModelArn": {
- "shape": "ModelArn",
- "documentation": "The Amazon Resource Name (ARN) of the model.
"
+ "NotificationConfiguration": {
+ "shape": "NotificationConfiguration",
+ "documentation": "Configures notification of workers regarding available or expiring work items.
"
},
- "EnableNetworkIsolation": {
- "shape": "Boolean",
- "documentation": "If True
, no inbound or outbound network calls can be made to or from the model container.
The Semantic Segmentation built-in algorithm does not support network isolation.
"
+ "Tags": {
+ "shape": "TagList",
+ "documentation": "An array of key-value pairs.
For more information, see Resource Tag and Using Cost Allocation Tags in the AWS Billing and Cost Management User Guide.
"
}
}
},
- "DescribeModelPackageInput": {
+ "CreateWorkteamResponse": {
"type": "structure",
- "required": [
- "ModelPackageName"
- ],
"members": {
- "ModelPackageName": {
- "shape": "ArnOrName",
- "documentation": "The name of the model package to describe.
"
+ "WorkteamArn": {
+ "shape": "WorkteamArn",
+ "documentation": "The Amazon Resource Name (ARN) of the work team. You can use this ARN to identify the work team.
"
}
}
},
- "DescribeModelPackageOutput": {
+ "CreationTime": {
+ "type": "timestamp"
+ },
+ "CsvContentType": {
+ "type": "string",
+ "min": 1,
+ "pattern": "^[a-zA-Z0-9](-*[a-zA-Z0-9])*\\/[a-zA-Z0-9](-*[a-zA-Z0-9.])*"
+ },
+ "CsvContentTypes": {
+ "type": "list",
+ "member": {
+ "shape": "CsvContentType"
+ },
+ "max": 10,
+ "min": 1
+ },
+ "DataCaptureConfig": {
"type": "structure",
"required": [
- "ModelPackageName",
- "ModelPackageArn",
- "CreationTime",
- "ModelPackageStatus",
- "ModelPackageStatusDetails"
+ "InitialSamplingPercentage",
+ "DestinationS3Uri",
+ "CaptureOptions"
],
"members": {
- "ModelPackageName": {
- "shape": "EntityName",
- "documentation": "The name of the model package being described.
"
+ "EnableCapture": {
+ "shape": "EnableCapture",
+ "documentation": ""
},
- "ModelPackageArn": {
- "shape": "ModelPackageArn",
- "documentation": "The Amazon Resource Name (ARN) of the model package.
"
+ "InitialSamplingPercentage": {
+ "shape": "SamplingPercentage",
+ "documentation": ""
},
- "ModelPackageDescription": {
- "shape": "EntityDescription",
- "documentation": "A brief summary of the model package.
"
+ "DestinationS3Uri": {
+ "shape": "DestinationS3Uri",
+ "documentation": ""
},
- "CreationTime": {
- "shape": "CreationTime",
- "documentation": "A timestamp specifying when the model package was created.
"
+ "KmsKeyId": {
+ "shape": "KmsKeyId",
+ "documentation": ""
},
- "InferenceSpecification": {
- "shape": "InferenceSpecification",
- "documentation": "Details about inference jobs that can be run with models based on this model package.
"
+ "CaptureOptions": {
+ "shape": "CaptureOptionList",
+ "documentation": ""
},
- "SourceAlgorithmSpecification": {
- "shape": "SourceAlgorithmSpecification",
- "documentation": "Details about the algorithm that was used to create the model package.
"
+ "CaptureContentTypeHeader": {
+ "shape": "CaptureContentTypeHeader",
+ "documentation": ""
+ }
+ },
+ "documentation": ""
+ },
+ "DataCaptureConfigSummary": {
+ "type": "structure",
+ "required": [
+ "EnableCapture",
+ "CaptureStatus",
+ "CurrentSamplingPercentage",
+ "DestinationS3Uri",
+ "KmsKeyId"
+ ],
+ "members": {
+ "EnableCapture": {
+ "shape": "EnableCapture",
+ "documentation": ""
},
- "ValidationSpecification": {
- "shape": "ModelPackageValidationSpecification",
- "documentation": "Configurations for one or more transform jobs that Amazon SageMaker runs to test the model package.
"
+ "CaptureStatus": {
+ "shape": "CaptureStatus",
+ "documentation": ""
},
- "ModelPackageStatus": {
- "shape": "ModelPackageStatus",
- "documentation": "The current status of the model package.
"
+ "CurrentSamplingPercentage": {
+ "shape": "SamplingPercentage",
+ "documentation": ""
},
- "ModelPackageStatusDetails": {
- "shape": "ModelPackageStatusDetails",
- "documentation": "Details about the current status of the model package.
"
+ "DestinationS3Uri": {
+ "shape": "DestinationS3Uri",
+ "documentation": ""
},
- "CertifyForMarketplace": {
- "shape": "CertifyForMarketplace",
- "documentation": "Whether the model package is certified for listing on AWS Marketplace.
"
+ "KmsKeyId": {
+ "shape": "KmsKeyId",
+ "documentation": ""
}
- }
+ },
+ "documentation": ""
},
- "DescribeNotebookInstanceInput": {
+ "DataExplorationNotebookLocation": {
+ "type": "string",
+ "min": 1
+ },
+ "DataInputConfig": {
+ "type": "string",
+ "max": 1024,
+ "min": 1,
+ "pattern": "[\\S\\s]+"
+ },
+ "DataProcessing": {
"type": "structure",
- "required": [
- "NotebookInstanceName"
- ],
"members": {
- "NotebookInstanceName": {
- "shape": "NotebookInstanceName",
- "documentation": "The name of the notebook instance that you want information about.
"
+ "InputFilter": {
+ "shape": "JsonPath",
+ "documentation": "A JSONPath expression used to select a portion of the input data to pass to the algorithm. Use the InputFilter
parameter to exclude fields, such as an ID column, from the input. If you want Amazon SageMaker to pass the entire input dataset to the algorithm, accept the default value $
.
Examples: \"$\"
, \"$[1:]\"
, \"$.features\"
"
+ },
+ "OutputFilter": {
+ "shape": "JsonPath",
+ "documentation": "A JSONPath expression used to select a portion of the joined dataset to save in the output file for a batch transform job. If you want Amazon SageMaker to store the entire input dataset in the output file, leave the default value, $
. If you specify indexes that aren't within the dimension size of the joined dataset, you get an error.
Examples: \"$\"
, \"$[0,5:]\"
, \"$['id','SageMakerOutput']\"
"
+ },
+ "JoinSource": {
+ "shape": "JoinSource",
+ "documentation": "Specifies the source of the data to join with the transformed data. The valid values are None
and Input
. The default value is None
, which specifies not to join the input with the transformed data. If you want the batch transform job to join the original input data with the transformed data, set JoinSource
to Input
.
For JSON or JSONLines objects, such as a JSON array, Amazon SageMaker adds the transformed data to the input JSON object in an attribute called SageMakerOutput
. The joined result for JSON must be a key-value pair object. If the input is not a key-value pair object, Amazon SageMaker creates a new JSON file. In the new JSON file, and the input data is stored under the SageMakerInput
key and the results are stored in SageMakerOutput
.
For CSV files, Amazon SageMaker combines the transformed data with the input data at the end of the input data and stores it in the output file. The joined data has the joined input data followed by the transformed data and the output is a CSV file.
"
}
- }
+ },
+ "documentation": "The data structure used to specify the data to be used for inference in a batch transform job and to associate the data that is relevant to the prediction results in the output. The input filter provided allows you to exclude input data that is not needed for inference in a batch transform job. The output filter provided allows you to include input data relevant to interpreting the predictions in the output from the job. For more information, see Associate Prediction Results with their Corresponding Input Records.
"
},
- "DescribeNotebookInstanceLifecycleConfigInput": {
+ "DataSource": {
+ "type": "structure",
+ "members": {
+ "S3DataSource": {
+ "shape": "S3DataSource",
+ "documentation": "The S3 location of the data source that is associated with a channel.
"
+ },
+ "FileSystemDataSource": {
+ "shape": "FileSystemDataSource",
+ "documentation": "The file system that is associated with a channel.
"
+ }
+ },
+ "documentation": "Describes the location of the channel data.
"
+ },
+ "DebugHookConfig": {
"type": "structure",
"required": [
- "NotebookInstanceLifecycleConfigName"
+ "S3OutputPath"
],
"members": {
- "NotebookInstanceLifecycleConfigName": {
- "shape": "NotebookInstanceLifecycleConfigName",
- "documentation": "The name of the lifecycle configuration to describe.
"
+ "LocalPath": {
+ "shape": "DirectoryPath",
+ "documentation": "Path to local storage location for tensors. Defaults to /opt/ml/output/tensors/
.
"
+ },
+ "S3OutputPath": {
+ "shape": "S3Uri",
+ "documentation": "Path to Amazon S3 storage location for tensors.
"
+ },
+ "HookParameters": {
+ "shape": "HookParameters",
+ "documentation": "Configuration information for the debug hook parameters.
"
+ },
+ "CollectionConfigurations": {
+ "shape": "CollectionConfigurations",
+ "documentation": "Configuration information for tensor collections.
"
}
- }
+ },
+ "documentation": "Configuration information for the debug hook parameters, collection configuration, and storage paths.
"
},
- "DescribeNotebookInstanceLifecycleConfigOutput": {
+ "DebugRuleConfiguration": {
"type": "structure",
+ "required": [
+ "RuleConfigurationName",
+ "RuleEvaluatorImage"
+ ],
"members": {
- "NotebookInstanceLifecycleConfigArn": {
- "shape": "NotebookInstanceLifecycleConfigArn",
- "documentation": "The Amazon Resource Name (ARN) of the lifecycle configuration.
"
+ "RuleConfigurationName": {
+ "shape": "RuleConfigurationName",
+ "documentation": "The name of the rule configuration. It must be unique relative to other rule configuration names.
"
},
- "NotebookInstanceLifecycleConfigName": {
- "shape": "NotebookInstanceLifecycleConfigName",
- "documentation": "The name of the lifecycle configuration.
"
+ "LocalPath": {
+ "shape": "DirectoryPath",
+ "documentation": "Path to local storage location for rules. Defaults to /opt/ml/processing/output/rule/
.
"
},
- "OnCreate": {
- "shape": "NotebookInstanceLifecycleConfigList",
- "documentation": "The shell script that runs only once, when you create a notebook instance.
"
+ "S3OutputPath": {
+ "shape": "S3Uri",
+ "documentation": "Path to Amazon S3 storage location for rules.
"
},
- "OnStart": {
- "shape": "NotebookInstanceLifecycleConfigList",
- "documentation": "The shell script that runs every time you start a notebook instance, including when you create the notebook instance.
"
+ "RuleEvaluatorImage": {
+ "shape": "AlgorithmImage",
+ "documentation": "The Amazon Elastic Container (ECR) Image for the managed rule evaluation.
"
},
- "LastModifiedTime": {
- "shape": "LastModifiedTime",
- "documentation": "A timestamp that tells when the lifecycle configuration was last modified.
"
+ "InstanceType": {
+ "shape": "ProcessingInstanceType",
+ "documentation": "The instance type to deploy for a training job.
"
},
- "CreationTime": {
- "shape": "CreationTime",
- "documentation": "A timestamp that tells when the lifecycle configuration was created.
"
+ "VolumeSizeInGB": {
+ "shape": "OptionalVolumeSizeInGB",
+ "documentation": "The size, in GB, of the ML storage volume attached to the notebook instance.
"
+ },
+ "RuleParameters": {
+ "shape": "RuleParameters",
+ "documentation": " Runtime configuration for rule container.
"
}
- }
+ },
+ "documentation": "Configuration information for debugging rules.
"
},
- "DescribeNotebookInstanceOutput": {
+ "DebugRuleConfigurations": {
+ "type": "list",
+ "member": {
+ "shape": "DebugRuleConfiguration"
+ },
+ "max": 20,
+ "min": 0
+ },
+ "DebugRuleEvaluationStatus": {
"type": "structure",
"members": {
- "NotebookInstanceArn": {
- "shape": "NotebookInstanceArn",
- "documentation": "The Amazon Resource Name (ARN) of the notebook instance.
"
- },
- "NotebookInstanceName": {
- "shape": "NotebookInstanceName",
- "documentation": "The name of the Amazon SageMaker notebook instance.
"
- },
- "NotebookInstanceStatus": {
- "shape": "NotebookInstanceStatus",
- "documentation": "The status of the notebook instance.
"
- },
- "FailureReason": {
- "shape": "FailureReason",
- "documentation": "If status is Failed
, the reason it failed.
"
- },
- "Url": {
- "shape": "NotebookInstanceUrl",
- "documentation": "The URL that you use to connect to the Jupyter notebook that is running in your notebook instance.
"
- },
- "InstanceType": {
- "shape": "InstanceType",
- "documentation": "The type of ML compute instance running on the notebook instance.
"
- },
- "SubnetId": {
- "shape": "SubnetId",
- "documentation": "The ID of the VPC subnet.
"
- },
- "SecurityGroups": {
- "shape": "SecurityGroupIds",
- "documentation": "The IDs of the VPC security groups.
"
+ "RuleConfigurationName": {
+ "shape": "RuleConfigurationName",
+ "documentation": "The name of the rule configuration
"
},
- "RoleArn": {
- "shape": "RoleArn",
- "documentation": "The Amazon Resource Name (ARN) of the IAM role associated with the instance.
"
+ "RuleEvaluationJobArn": {
+ "shape": "ProcessingJobArn",
+ "documentation": "The Amazon Resource Name (ARN) of the rule evaluation job.
"
},
- "KmsKeyId": {
- "shape": "KmsKeyId",
- "documentation": "The AWS KMS key ID Amazon SageMaker uses to encrypt data when storing it on the ML storage volume attached to the instance.
"
+ "RuleEvaluationStatus": {
+ "shape": "RuleEvaluationStatus",
+ "documentation": "Status of the rule evaluation.
"
},
- "NetworkInterfaceId": {
- "shape": "NetworkInterfaceId",
- "documentation": "The network interface IDs that Amazon SageMaker created at the time of creating the instance.
"
+ "StatusDetails": {
+ "shape": "StatusDetails",
+ "documentation": "Details from the rule evaluation.
"
},
"LastModifiedTime": {
- "shape": "LastModifiedTime",
- "documentation": "A timestamp. Use this parameter to retrieve the time when the notebook instance was last modified.
"
- },
- "CreationTime": {
- "shape": "CreationTime",
- "documentation": "A timestamp. Use this parameter to return the time when the notebook instance was created
"
- },
- "NotebookInstanceLifecycleConfigName": {
- "shape": "NotebookInstanceLifecycleConfigName",
- "documentation": "Returns the name of a notebook instance lifecycle configuration.
For information about notebook instance lifestyle configurations, see Step 2.1: (Optional) Customize a Notebook Instance
"
- },
- "DirectInternetAccess": {
- "shape": "DirectInternetAccess",
- "documentation": "Describes whether Amazon SageMaker provides internet access to the notebook instance. If this value is set to Disabled, the notebook instance does not have internet access, and cannot connect to Amazon SageMaker training and endpoint services.
For more information, see Notebook Instances Are Internet-Enabled by Default.
"
- },
- "VolumeSizeInGB": {
- "shape": "NotebookInstanceVolumeSizeInGB",
- "documentation": "The size, in GB, of the ML storage volume attached to the notebook instance.
"
+ "shape": "Timestamp",
+ "documentation": "Timestamp when the rule evaluation status was last modified.
"
+ }
+ },
+ "documentation": "Information about the status of the rule evaluation.
"
+ },
+ "DebugRuleEvaluationStatuses": {
+ "type": "list",
+ "member": {
+ "shape": "DebugRuleEvaluationStatus"
+ },
+ "max": 20,
+ "min": 0
+ },
+ "DeleteAlgorithmInput": {
+ "type": "structure",
+ "required": [
+ "AlgorithmName"
+ ],
+ "members": {
+ "AlgorithmName": {
+ "shape": "EntityName",
+ "documentation": "The name of the algorithm to delete.
"
+ }
+ }
+ },
+ "DeleteAppRequest": {
+ "type": "structure",
+ "required": [
+ "DomainId",
+ "UserProfileName",
+ "AppType",
+ "AppName"
+ ],
+ "members": {
+ "DomainId": {
+ "shape": "DomainId",
+ "documentation": "The domain ID.
"
},
- "AcceleratorTypes": {
- "shape": "NotebookInstanceAcceleratorTypes",
- "documentation": "A list of the Elastic Inference (EI) instance types associated with this notebook instance. Currently only one EI instance type can be associated with a notebook instance. For more information, see Using Elastic Inference in Amazon SageMaker.
"
+ "UserProfileName": {
+ "shape": "UserProfileName",
+ "documentation": "The user profile name.
"
},
- "DefaultCodeRepository": {
- "shape": "CodeRepositoryNameOrUrl",
- "documentation": "The Git repository associated with the notebook instance as its default code repository. This can be either the name of a Git repository stored as a resource in your account, or the URL of a Git repository in AWS CodeCommit or in any other Git repository. When you open a notebook instance, it opens in the directory that contains this repository. For more information, see Associating Git Repositories with Amazon SageMaker Notebook Instances.
"
+ "AppType": {
+ "shape": "AppType",
+ "documentation": "The type of app.
"
},
- "AdditionalCodeRepositories": {
- "shape": "AdditionalCodeRepositoryNamesOrUrls",
- "documentation": "An array of up to three Git repositories associated with the notebook instance. These can be either the names of Git repositories stored as resources in your account, or the URL of Git repositories in AWS CodeCommit or in any other Git repository. These repositories are cloned at the same level as the default repository of your notebook instance. For more information, see Associating Git Repositories with Amazon SageMaker Notebook Instances.
"
+ "AppName": {
+ "shape": "AppName",
+ "documentation": "The name of the app.
"
+ }
+ }
+ },
+ "DeleteCodeRepositoryInput": {
+ "type": "structure",
+ "required": [
+ "CodeRepositoryName"
+ ],
+ "members": {
+ "CodeRepositoryName": {
+ "shape": "EntityName",
+ "documentation": "The name of the Git repository to delete.
"
+ }
+ }
+ },
+ "DeleteDomainRequest": {
+ "type": "structure",
+ "required": [
+ "DomainId"
+ ],
+ "members": {
+ "DomainId": {
+ "shape": "DomainId",
+ "documentation": "The domain ID.
"
},
- "RootAccess": {
- "shape": "RootAccess",
- "documentation": "Whether root access is enabled or disabled for users of the notebook instance.
Lifecycle configurations need root access to be able to set up a notebook instance. Because of this, lifecycle configurations associated with a notebook instance always run with root access even if you disable root access for users.
"
+ "RetentionPolicy": {
+ "shape": "RetentionPolicy",
+ "documentation": "The retention policy for this domain, which specifies which resources will be retained after the Domain is deleted. By default, all resources are retained (not automatically deleted).
"
}
}
},
- "DescribeSubscribedWorkteamRequest": {
+ "DeleteEndpointConfigInput": {
"type": "structure",
"required": [
- "WorkteamArn"
+ "EndpointConfigName"
],
"members": {
- "WorkteamArn": {
- "shape": "WorkteamArn",
- "documentation": "The Amazon Resource Name (ARN) of the subscribed work team to describe.
"
+ "EndpointConfigName": {
+ "shape": "EndpointConfigName",
+ "documentation": "The name of the endpoint configuration that you want to delete.
"
}
}
},
- "DescribeSubscribedWorkteamResponse": {
+ "DeleteEndpointInput": {
"type": "structure",
"required": [
- "SubscribedWorkteam"
+ "EndpointName"
],
"members": {
- "SubscribedWorkteam": {
- "shape": "SubscribedWorkteam",
- "documentation": "A Workteam
instance that contains information about the work team.
"
+ "EndpointName": {
+ "shape": "EndpointName",
+ "documentation": "The name of the endpoint that you want to delete.
"
}
}
},
- "DescribeTrainingJobRequest": {
+ "DeleteExperimentRequest": {
"type": "structure",
"required": [
- "TrainingJobName"
+ "ExperimentName"
],
"members": {
- "TrainingJobName": {
- "shape": "TrainingJobName",
- "documentation": "The name of the training job.
"
+ "ExperimentName": {
+ "shape": "ExperimentEntityName",
+ "documentation": "The name of the experiment to delete.
"
}
}
},
- "DescribeTrainingJobResponse": {
+ "DeleteExperimentResponse": {
+ "type": "structure",
+ "members": {
+ "ExperimentArn": {
+ "shape": "ExperimentArn",
+ "documentation": "The Amazon Resource Name (ARN) of the experiment that is being deleted.
"
+ }
+ }
+ },
+ "DeleteFlowDefinitionRequest": {
"type": "structure",
"required": [
- "TrainingJobName",
- "TrainingJobArn",
- "ModelArtifacts",
- "TrainingJobStatus",
- "SecondaryStatus",
- "AlgorithmSpecification",
- "ResourceConfig",
- "StoppingCondition",
- "CreationTime"
+ "FlowDefinitionName"
],
"members": {
- "TrainingJobName": {
- "shape": "TrainingJobName",
- "documentation": " Name of the model training job.
"
+ "FlowDefinitionName": {
+ "shape": "FlowDefinitionName",
+ "documentation": "The name of the flow definition you are deleting.
"
+ }
+ }
+ },
+ "DeleteFlowDefinitionResponse": {
+ "type": "structure",
+ "members": {}
+ },
+ "DeleteModelInput": {
+ "type": "structure",
+ "required": [
+ "ModelName"
+ ],
+ "members": {
+ "ModelName": {
+ "shape": "ModelName",
+ "documentation": "The name of the model to delete.
"
+ }
+ }
+ },
+ "DeleteModelPackageInput": {
+ "type": "structure",
+ "required": [
+ "ModelPackageName"
+ ],
+ "members": {
+ "ModelPackageName": {
+ "shape": "EntityName",
+ "documentation": "The name of the model package. The name must have 1 to 63 characters. Valid characters are a-z, A-Z, 0-9, and - (hyphen).
"
+ }
+ }
+ },
+ "DeleteMonitoringScheduleRequest": {
+ "type": "structure",
+ "required": [
+ "MonitoringScheduleName"
+ ],
+ "members": {
+ "MonitoringScheduleName": {
+ "shape": "MonitoringScheduleName",
+ "documentation": "The name of the monitoring schedule to delete.
"
+ }
+ }
+ },
+ "DeleteNotebookInstanceInput": {
+ "type": "structure",
+ "required": [
+ "NotebookInstanceName"
+ ],
+ "members": {
+ "NotebookInstanceName": {
+ "shape": "NotebookInstanceName",
+ "documentation": "The name of the Amazon SageMaker notebook instance to delete.
"
+ }
+ }
+ },
+ "DeleteNotebookInstanceLifecycleConfigInput": {
+ "type": "structure",
+ "required": [
+ "NotebookInstanceLifecycleConfigName"
+ ],
+ "members": {
+ "NotebookInstanceLifecycleConfigName": {
+ "shape": "NotebookInstanceLifecycleConfigName",
+ "documentation": "The name of the lifecycle configuration to delete.
"
+ }
+ }
+ },
+ "DeleteTagsInput": {
+ "type": "structure",
+ "required": [
+ "ResourceArn",
+ "TagKeys"
+ ],
+ "members": {
+ "ResourceArn": {
+ "shape": "ResourceArn",
+ "documentation": "The Amazon Resource Name (ARN) of the resource whose tags you want to delete.
"
},
- "TrainingJobArn": {
- "shape": "TrainingJobArn",
- "documentation": "The Amazon Resource Name (ARN) of the training job.
"
- },
- "TuningJobArn": {
- "shape": "HyperParameterTuningJobArn",
- "documentation": "The Amazon Resource Name (ARN) of the associated hyperparameter tuning job if the training job was launched by a hyperparameter tuning job.
"
- },
- "LabelingJobArn": {
- "shape": "LabelingJobArn",
- "documentation": "The Amazon Resource Name (ARN) of the Amazon SageMaker Ground Truth labeling job that created the transform or training job.
"
- },
- "ModelArtifacts": {
- "shape": "ModelArtifacts",
- "documentation": "Information about the Amazon S3 location that is configured for storing model artifacts.
"
- },
- "TrainingJobStatus": {
- "shape": "TrainingJobStatus",
- "documentation": "The status of the training job.
Amazon SageMaker provides the following training job statuses:
-
InProgress
- The training is in progress.
-
Completed
- The training job has completed.
-
Failed
- The training job has failed. To see the reason for the failure, see the FailureReason
field in the response to a DescribeTrainingJobResponse
call.
-
Stopping
- The training job is stopping.
-
Stopped
- The training job has stopped.
For more detailed information, see SecondaryStatus
.
"
- },
- "SecondaryStatus": {
- "shape": "SecondaryStatus",
- "documentation": " Provides detailed information about the state of the training job. For detailed information on the secondary status of the training job, see StatusMessage
under SecondaryStatusTransition.
Amazon SageMaker provides primary statuses and secondary statuses that apply to each of them:
- InProgress
-
-
Starting
- Starting the training job.
-
Downloading
- An optional stage for algorithms that support File
training input mode. It indicates that data is being downloaded to the ML storage volumes.
-
Training
- Training is in progress.
-
Interrupted
- The job stopped because the managed spot training instances were interrupted.
-
Uploading
- Training is complete and the model artifacts are being uploaded to the S3 location.
- Completed
-
- Failed
-
- Stopped
-
-
MaxRuntimeExceeded
- The job stopped because it exceeded the maximum allowed runtime.
-
MaxWaitTmeExceeded
- The job stopped because it exceeded the maximum allowed wait time.
-
Stopped
- The training job has stopped.
- Stopping
-
Valid values for SecondaryStatus
are subject to change.
We no longer support the following secondary statuses:
-
LaunchingMLInstances
-
PreparingTrainingStack
-
DownloadingTrainingImage
"
- },
- "FailureReason": {
- "shape": "FailureReason",
- "documentation": "If the training job failed, the reason it failed.
"
- },
- "HyperParameters": {
- "shape": "HyperParameters",
- "documentation": "Algorithm-specific parameters.
"
- },
- "AlgorithmSpecification": {
- "shape": "AlgorithmSpecification",
- "documentation": "Information about the algorithm used for training, and algorithm metadata.
"
- },
- "RoleArn": {
- "shape": "RoleArn",
- "documentation": "The AWS Identity and Access Management (IAM) role configured for the training job.
"
- },
- "InputDataConfig": {
- "shape": "InputDataConfig",
- "documentation": "An array of Channel
objects that describes each data input channel.
"
- },
- "OutputDataConfig": {
- "shape": "OutputDataConfig",
- "documentation": "The S3 path where model artifacts that you configured when creating the job are stored. Amazon SageMaker creates subfolders for model artifacts.
"
- },
- "ResourceConfig": {
- "shape": "ResourceConfig",
- "documentation": "Resources, including ML compute instances and ML storage volumes, that are configured for model training.
"
- },
- "VpcConfig": {
- "shape": "VpcConfig",
- "documentation": "A VpcConfig object that specifies the VPC that this training job has access to. For more information, see Protect Training Jobs by Using an Amazon Virtual Private Cloud.
"
- },
- "StoppingCondition": {
- "shape": "StoppingCondition",
- "documentation": "Specifies a limit to how long a model training job can run. It also specifies the maximum time to wait for a spot instance. When the job reaches the time limit, Amazon SageMaker ends the training job. Use this API to cap model training costs.
To stop a job, Amazon SageMaker sends the algorithm the SIGTERM
signal, which delays job termination for 120 seconds. Algorithms can use this 120-second window to save the model artifacts, so the results of training are not lost.
"
- },
- "CreationTime": {
- "shape": "Timestamp",
- "documentation": "A timestamp that indicates when the training job was created.
"
- },
- "TrainingStartTime": {
- "shape": "Timestamp",
- "documentation": "Indicates the time when the training job starts on training instances. You are billed for the time interval between this time and the value of TrainingEndTime
. The start time in CloudWatch Logs might be later than this time. The difference is due to the time it takes to download the training data and to the size of the training container.
"
- },
- "TrainingEndTime": {
- "shape": "Timestamp",
- "documentation": "Indicates the time when the training job ends on training instances. You are billed for the time interval between the value of TrainingStartTime
and this time. For successful jobs and stopped jobs, this is the time after model artifacts are uploaded. For failed jobs, this is the time when Amazon SageMaker detects a job failure.
"
- },
- "LastModifiedTime": {
- "shape": "Timestamp",
- "documentation": "A timestamp that indicates when the status of the training job was last modified.
"
- },
- "SecondaryStatusTransitions": {
- "shape": "SecondaryStatusTransitions",
- "documentation": "A history of all of the secondary statuses that the training job has transitioned through.
"
- },
- "FinalMetricDataList": {
- "shape": "FinalMetricDataList",
- "documentation": "A collection of MetricData
objects that specify the names, values, and dates and times that the training algorithm emitted to Amazon CloudWatch.
"
- },
- "EnableNetworkIsolation": {
- "shape": "Boolean",
- "documentation": "If you want to allow inbound or outbound network calls, except for calls between peers within a training cluster for distributed training, choose True
. If you enable network isolation for training jobs that are configured to use a VPC, Amazon SageMaker downloads and uploads customer data and model artifacts through the specified VPC, but the training container does not have network access.
The Semantic Segmentation built-in algorithm does not support network isolation.
"
- },
- "EnableInterContainerTrafficEncryption": {
- "shape": "Boolean",
- "documentation": "To encrypt all communications between ML compute instances in distributed training, choose True
. Encryption provides greater security for distributed training, but training might take longer. How long it takes depends on the amount of communication between compute instances, especially if you use a deep learning algorithms in distributed training.
"
- },
- "EnableManagedSpotTraining": {
- "shape": "Boolean",
- "documentation": "A Boolean indicating whether managed spot training is enabled (True
) or not (False
).
"
- },
- "CheckpointConfig": {
- "shape": "CheckpointConfig"
- },
- "TrainingTimeInSeconds": {
- "shape": "TrainingTimeInSeconds",
- "documentation": "The training time in seconds.
"
- },
- "BillableTimeInSeconds": {
- "shape": "BillableTimeInSeconds",
- "documentation": "The billable time in seconds.
You can calculate the savings from using managed spot training using the formula (1 - BillableTimeInSeconds / TrainingTimeInSeconds) * 100
. For example, if BillableTimeInSeconds
is 100 and TrainingTimeInSeconds
is 500, the savings is 80%.
"
+ "TagKeys": {
+ "shape": "TagKeyList",
+ "documentation": "An array or one or more tag keys to delete.
"
}
}
},
- "DescribeTransformJobRequest": {
+ "DeleteTagsOutput": {
+ "type": "structure",
+ "members": {}
+ },
+ "DeleteTrialComponentRequest": {
"type": "structure",
"required": [
- "TransformJobName"
+ "TrialComponentName"
],
"members": {
- "TransformJobName": {
- "shape": "TransformJobName",
- "documentation": "The name of the transform job that you want to view details of.
"
+ "TrialComponentName": {
+ "shape": "ExperimentEntityName",
+ "documentation": "The name of the component to delete.
"
}
}
},
- "DescribeTransformJobResponse": {
+ "DeleteTrialComponentResponse": {
+ "type": "structure",
+ "members": {
+ "TrialComponentArn": {
+ "shape": "TrialComponentArn",
+ "documentation": "The Amazon Resource Name (ARN) of the component is being deleted.
"
+ }
+ }
+ },
+ "DeleteTrialRequest": {
"type": "structure",
"required": [
- "TransformJobName",
- "TransformJobArn",
- "TransformJobStatus",
- "ModelName",
- "TransformInput",
- "TransformResources",
- "CreationTime"
+ "TrialName"
],
"members": {
- "TransformJobName": {
- "shape": "TransformJobName",
- "documentation": "The name of the transform job.
"
- },
- "TransformJobArn": {
- "shape": "TransformJobArn",
- "documentation": "The Amazon Resource Name (ARN) of the transform job.
"
- },
- "TransformJobStatus": {
- "shape": "TransformJobStatus",
- "documentation": "The status of the transform job. If the transform job failed, the reason is returned in the FailureReason
field.
"
- },
- "FailureReason": {
- "shape": "FailureReason",
- "documentation": "If the transform job failed, FailureReason
describes why it failed. A transform job creates a log file, which includes error messages, and stores it as an Amazon S3 object. For more information, see Log Amazon SageMaker Events with Amazon CloudWatch.
"
- },
- "ModelName": {
- "shape": "ModelName",
- "documentation": "The name of the model used in the transform job.
"
- },
- "MaxConcurrentTransforms": {
- "shape": "MaxConcurrentTransforms",
- "documentation": "The maximum number of parallel requests on each instance node that can be launched in a transform job. The default value is 1.
"
- },
- "MaxPayloadInMB": {
- "shape": "MaxPayloadInMB",
- "documentation": "The maximum payload size, in MB, used in the transform job.
"
- },
- "BatchStrategy": {
- "shape": "BatchStrategy",
- "documentation": "Specifies the number of records to include in a mini-batch for an HTTP inference request. A record is a single unit of input data that inference can be made on. For example, a single line in a CSV file is a record.
To enable the batch strategy, you must set SplitType
to Line
, RecordIO
, or TFRecord
.
"
- },
- "Environment": {
- "shape": "TransformEnvironmentMap",
- "documentation": "The environment variables to set in the Docker container. We support up to 16 key and values entries in the map.
"
- },
- "TransformInput": {
- "shape": "TransformInput",
- "documentation": "Describes the dataset to be transformed and the Amazon S3 location where it is stored.
"
- },
- "TransformOutput": {
- "shape": "TransformOutput",
- "documentation": "Identifies the Amazon S3 location where you want Amazon SageMaker to save the results from the transform job.
"
- },
- "TransformResources": {
- "shape": "TransformResources",
- "documentation": "Describes the resources, including ML instance types and ML instance count, to use for the transform job.
"
- },
- "CreationTime": {
- "shape": "Timestamp",
- "documentation": "A timestamp that shows when the transform Job was created.
"
- },
- "TransformStartTime": {
- "shape": "Timestamp",
- "documentation": "Indicates when the transform job starts on ML instances. You are billed for the time interval between this time and the value of TransformEndTime
.
"
- },
- "TransformEndTime": {
- "shape": "Timestamp",
- "documentation": "Indicates when the transform job has been completed, or has stopped or failed. You are billed for the time interval between this time and the value of TransformStartTime
.
"
- },
- "LabelingJobArn": {
- "shape": "LabelingJobArn",
- "documentation": "The Amazon Resource Name (ARN) of the Amazon SageMaker Ground Truth labeling job that created the transform or training job.
"
+ "TrialName": {
+ "shape": "ExperimentEntityName",
+ "documentation": "The name of the trial to delete.
"
+ }
+ }
+ },
+ "DeleteTrialResponse": {
+ "type": "structure",
+ "members": {
+ "TrialArn": {
+ "shape": "TrialArn",
+ "documentation": "The Amazon Resource Name (ARN) of the trial that is being deleted.
"
+ }
+ }
+ },
+ "DeleteUserProfileRequest": {
+ "type": "structure",
+ "required": [
+ "DomainId",
+ "UserProfileName"
+ ],
+ "members": {
+ "DomainId": {
+ "shape": "DomainId",
+ "documentation": "The domain ID.
"
},
- "DataProcessing": {
- "shape": "DataProcessing"
+ "UserProfileName": {
+ "shape": "UserProfileName",
+ "documentation": "The user profile name.
"
}
}
},
- "DescribeWorkteamRequest": {
+ "DeleteWorkteamRequest": {
"type": "structure",
"required": [
"WorkteamName"
@@ -3861,1588 +5519,5306 @@
"members": {
"WorkteamName": {
"shape": "WorkteamName",
- "documentation": "The name of the work team to return a description of.
"
+ "documentation": "The name of the work team to delete.
"
}
}
},
- "DescribeWorkteamResponse": {
+ "DeleteWorkteamResponse": {
"type": "structure",
"required": [
- "Workteam"
+ "Success"
],
"members": {
- "Workteam": {
- "shape": "Workteam",
- "documentation": "A Workteam
instance that contains information about the work team.
"
+ "Success": {
+ "shape": "Success",
+ "documentation": "Returns true
if the work team was successfully deleted; otherwise, returns false
.
"
}
}
},
- "DesiredWeightAndCapacity": {
+ "DeployedImage": {
"type": "structure",
- "required": [
- "VariantName"
- ],
"members": {
- "VariantName": {
- "shape": "VariantName",
- "documentation": "The name of the variant to update.
"
+ "SpecifiedImage": {
+ "shape": "Image",
+ "documentation": "The image path you specified when you created the model.
"
},
- "DesiredWeight": {
- "shape": "VariantWeight",
- "documentation": "The variant's weight.
"
+ "ResolvedImage": {
+ "shape": "Image",
+ "documentation": "The specific digest path of the image hosted in this ProductionVariant
.
"
},
- "DesiredInstanceCount": {
- "shape": "TaskCount",
- "documentation": "The variant's capacity.
"
+ "ResolutionTime": {
+ "shape": "Timestamp",
+ "documentation": "The date and time when the image path for the model resolved to the ResolvedImage
"
}
},
- "documentation": "Specifies weight and capacity values for a production variant.
"
+ "documentation": "Gets the Amazon EC2 Container Registry path of the docker image of the model that is hosted in this ProductionVariant.
If you used the registry/repository[:tag]
form to specify the image path of the primary container when you created the model hosted in this ProductionVariant
, the path resolves to a path of the form registry/repository[@digest]
. A digest is a hash value that identifies a specific version of an image. For information about Amazon ECR paths, see Pulling an Image in the Amazon ECR User Guide.
"
},
- "DesiredWeightAndCapacityList": {
+ "DeployedImages": {
"type": "list",
"member": {
- "shape": "DesiredWeightAndCapacity"
- },
- "min": 1
+ "shape": "DeployedImage"
+ }
},
- "DetailedAlgorithmStatus": {
- "type": "string",
- "enum": [
- "NotStarted",
+ "DescribeAlgorithmInput": {
+ "type": "structure",
+ "required": [
+ "AlgorithmName"
+ ],
+ "members": {
+ "AlgorithmName": {
+ "shape": "ArnOrName",
+ "documentation": "The name of the algorithm to describe.
"
+ }
+ }
+ },
+ "DescribeAlgorithmOutput": {
+ "type": "structure",
+ "required": [
+ "AlgorithmName",
+ "AlgorithmArn",
+ "CreationTime",
+ "TrainingSpecification",
+ "AlgorithmStatus",
+ "AlgorithmStatusDetails"
+ ],
+ "members": {
+ "AlgorithmName": {
+ "shape": "EntityName",
+ "documentation": "The name of the algorithm being described.
"
+ },
+ "AlgorithmArn": {
+ "shape": "AlgorithmArn",
+ "documentation": "The Amazon Resource Name (ARN) of the algorithm.
"
+ },
+ "AlgorithmDescription": {
+ "shape": "EntityDescription",
+ "documentation": "A brief summary about the algorithm.
"
+ },
+ "CreationTime": {
+ "shape": "CreationTime",
+ "documentation": "A timestamp specifying when the algorithm was created.
"
+ },
+ "TrainingSpecification": {
+ "shape": "TrainingSpecification",
+ "documentation": "Details about training jobs run by this algorithm.
"
+ },
+ "InferenceSpecification": {
+ "shape": "InferenceSpecification",
+ "documentation": "Details about inference jobs that the algorithm runs.
"
+ },
+ "ValidationSpecification": {
+ "shape": "AlgorithmValidationSpecification",
+ "documentation": "Details about configurations for one or more training jobs that Amazon SageMaker runs to test the algorithm.
"
+ },
+ "AlgorithmStatus": {
+ "shape": "AlgorithmStatus",
+ "documentation": "The current status of the algorithm.
"
+ },
+ "AlgorithmStatusDetails": {
+ "shape": "AlgorithmStatusDetails",
+ "documentation": "Details about the current status of the algorithm.
"
+ },
+ "ProductId": {
+ "shape": "ProductId",
+ "documentation": "The product identifier of the algorithm.
"
+ },
+ "CertifyForMarketplace": {
+ "shape": "CertifyForMarketplace",
+ "documentation": "Whether the algorithm is certified to be listed in AWS Marketplace.
"
+ }
+ }
+ },
+ "DescribeAppRequest": {
+ "type": "structure",
+ "required": [
+ "DomainId",
+ "UserProfileName",
+ "AppType",
+ "AppName"
+ ],
+ "members": {
+ "DomainId": {
+ "shape": "DomainId",
+ "documentation": "The domain ID.
"
+ },
+ "UserProfileName": {
+ "shape": "UserProfileName",
+ "documentation": "The user profile name.
"
+ },
+ "AppType": {
+ "shape": "AppType",
+ "documentation": "The type of app.
"
+ },
+ "AppName": {
+ "shape": "AppName",
+ "documentation": "The name of the app.
"
+ }
+ }
+ },
+ "DescribeAppResponse": {
+ "type": "structure",
+ "members": {
+ "AppArn": {
+ "shape": "AppArn",
+ "documentation": "The app's Amazon Resource Name (ARN).
"
+ },
+ "AppType": {
+ "shape": "AppType",
+ "documentation": "The type of app.
"
+ },
+ "AppName": {
+ "shape": "AppName",
+ "documentation": "The name of the app.
"
+ },
+ "DomainId": {
+ "shape": "DomainId",
+ "documentation": "The domain ID.
"
+ },
+ "UserProfileName": {
+ "shape": "UserProfileName",
+ "documentation": "The user profile name.
"
+ },
+ "Status": {
+ "shape": "AppStatus",
+ "documentation": "The status.
"
+ },
+ "LastHealthCheckTimestamp": {
+ "shape": "Timestamp",
+ "documentation": "The timestamp of the last health check.
"
+ },
+ "LastUserActivityTimestamp": {
+ "shape": "Timestamp",
+ "documentation": "The timestamp of the last user's activity.
"
+ },
+ "CreationTime": {
+ "shape": "CreationTime",
+ "documentation": "The creation time.
"
+ },
+ "FailureReason": {
+ "shape": "FailureReason",
+ "documentation": "The failure reason.
"
+ },
+ "ResourceSpec": {
+ "shape": "ResourceSpec",
+ "documentation": "The instance type and quantity.
"
+ }
+ }
+ },
+ "DescribeAutoMLJobRequest": {
+ "type": "structure",
+ "required": [
+ "AutoMLJobName"
+ ],
+ "members": {
+ "AutoMLJobName": {
+ "shape": "AutoMLJobName",
+ "documentation": "Request information about a job using that job's unique name.
"
+ }
+ }
+ },
+ "DescribeAutoMLJobResponse": {
+ "type": "structure",
+ "required": [
+ "AutoMLJobName",
+ "AutoMLJobArn",
+ "InputDataConfig",
+ "OutputDataConfig",
+ "RoleArn",
+ "CreationTime",
+ "LastModifiedTime",
+ "AutoMLJobStatus",
+ "AutoMLJobSecondaryStatus"
+ ],
+ "members": {
+ "AutoMLJobName": {
+ "shape": "AutoMLJobName",
+ "documentation": "Returns the name of a job.
"
+ },
+ "AutoMLJobArn": {
+ "shape": "AutoMLJobArn",
+ "documentation": "Returns the job's ARN.
"
+ },
+ "InputDataConfig": {
+ "shape": "AutoMLInputDataConfig",
+ "documentation": "Returns the job's input data config.
"
+ },
+ "OutputDataConfig": {
+ "shape": "AutoMLOutputDataConfig",
+ "documentation": "Returns the job's output data config.
"
+ },
+ "RoleArn": {
+ "shape": "RoleArn",
+ "documentation": "The Amazon Resource Name (ARN) of the AWS Identity and Access Management (IAM) role that has read permission to the input data location and write permission to the output data location in Amazon S3.
"
+ },
+ "AutoMLJobObjective": {
+ "shape": "AutoMLJobObjective",
+ "documentation": "Returns the job's objective.
"
+ },
+ "ProblemType": {
+ "shape": "ProblemType",
+ "documentation": "Returns the job's problem type.
"
+ },
+ "AutoMLJobConfig": {
+ "shape": "AutoMLJobConfig",
+ "documentation": "Returns the job's config.
"
+ },
+ "CreationTime": {
+ "shape": "Timestamp",
+ "documentation": "Returns the job's creation time.
"
+ },
+ "EndTime": {
+ "shape": "Timestamp",
+ "documentation": "Returns the job's end time.
"
+ },
+ "LastModifiedTime": {
+ "shape": "Timestamp",
+ "documentation": "Returns the job's last modified time.
"
+ },
+ "FailureReason": {
+ "shape": "AutoMLFailureReason",
+ "documentation": "Returns the job's FailureReason.
"
+ },
+ "BestCandidate": {
+ "shape": "AutoMLCandidate",
+ "documentation": "Returns the job's BestCandidate.
"
+ },
+ "AutoMLJobStatus": {
+ "shape": "AutoMLJobStatus",
+ "documentation": "Returns the job's AutoMLJobStatus.
"
+ },
+ "AutoMLJobSecondaryStatus": {
+ "shape": "AutoMLJobSecondaryStatus",
+ "documentation": "Returns the job's AutoMLJobSecondaryStatus.
"
+ },
+ "GenerateCandidateDefinitionsOnly": {
+ "shape": "GenerateCandidateDefinitionsOnly",
+ "documentation": "Returns the job's output from GenerateCandidateDefinitionsOnly.
"
+ },
+ "AutoMLJobArtifacts": {
+ "shape": "AutoMLJobArtifacts",
+ "documentation": "Returns information on the job's artifacts found in AutoMLJobArtifacts.
"
+ },
+ "ResolvedAttributes": {
+ "shape": "ResolvedAttributes",
+ "documentation": "This contains ProblemType, AutoMLJobObjective and CompletionCriteria. They’re auto-inferred values, if not provided by you. If you do provide them, then they’ll be the same as provided.
"
+ }
+ }
+ },
+ "DescribeCodeRepositoryInput": {
+ "type": "structure",
+ "required": [
+ "CodeRepositoryName"
+ ],
+ "members": {
+ "CodeRepositoryName": {
+ "shape": "EntityName",
+ "documentation": "The name of the Git repository to describe.
"
+ }
+ }
+ },
+ "DescribeCodeRepositoryOutput": {
+ "type": "structure",
+ "required": [
+ "CodeRepositoryName",
+ "CodeRepositoryArn",
+ "CreationTime",
+ "LastModifiedTime"
+ ],
+ "members": {
+ "CodeRepositoryName": {
+ "shape": "EntityName",
+ "documentation": "The name of the Git repository.
"
+ },
+ "CodeRepositoryArn": {
+ "shape": "CodeRepositoryArn",
+ "documentation": "The Amazon Resource Name (ARN) of the Git repository.
"
+ },
+ "CreationTime": {
+ "shape": "CreationTime",
+ "documentation": "The date and time that the repository was created.
"
+ },
+ "LastModifiedTime": {
+ "shape": "LastModifiedTime",
+ "documentation": "The date and time that the repository was last changed.
"
+ },
+ "GitConfig": {
+ "shape": "GitConfig",
+ "documentation": "Configuration details about the repository, including the URL where the repository is located, the default branch, and the Amazon Resource Name (ARN) of the AWS Secrets Manager secret that contains the credentials used to access the repository.
"
+ }
+ }
+ },
+ "DescribeCompilationJobRequest": {
+ "type": "structure",
+ "required": [
+ "CompilationJobName"
+ ],
+ "members": {
+ "CompilationJobName": {
+ "shape": "EntityName",
+ "documentation": "The name of the model compilation job that you want information about.
"
+ }
+ }
+ },
+ "DescribeCompilationJobResponse": {
+ "type": "structure",
+ "required": [
+ "CompilationJobName",
+ "CompilationJobArn",
+ "CompilationJobStatus",
+ "StoppingCondition",
+ "CreationTime",
+ "LastModifiedTime",
+ "FailureReason",
+ "ModelArtifacts",
+ "RoleArn",
+ "InputConfig",
+ "OutputConfig"
+ ],
+ "members": {
+ "CompilationJobName": {
+ "shape": "EntityName",
+ "documentation": "The name of the model compilation job.
"
+ },
+ "CompilationJobArn": {
+ "shape": "CompilationJobArn",
+ "documentation": "The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker assumes to perform the model compilation job.
"
+ },
+ "CompilationJobStatus": {
+ "shape": "CompilationJobStatus",
+ "documentation": "The status of the model compilation job.
"
+ },
+ "CompilationStartTime": {
+ "shape": "Timestamp",
+ "documentation": "The time when the model compilation job started the CompilationJob
instances.
You are billed for the time between this timestamp and the timestamp in the DescribeCompilationJobResponse$CompilationEndTime field. In Amazon CloudWatch Logs, the start time might be later than this time. That's because it takes time to download the compilation job, which depends on the size of the compilation job container.
"
+ },
+ "CompilationEndTime": {
+ "shape": "Timestamp",
+ "documentation": "The time when the model compilation job on a compilation job instance ended. For a successful or stopped job, this is when the job's model artifacts have finished uploading. For a failed job, this is when Amazon SageMaker detected that the job failed.
"
+ },
+ "StoppingCondition": {
+ "shape": "StoppingCondition",
+ "documentation": "Specifies a limit to how long a model compilation job can run. When the job reaches the time limit, Amazon SageMaker ends the compilation job. Use this API to cap model training costs.
"
+ },
+ "CreationTime": {
+ "shape": "CreationTime",
+ "documentation": "The time that the model compilation job was created.
"
+ },
+ "LastModifiedTime": {
+ "shape": "LastModifiedTime",
+ "documentation": "The time that the status of the model compilation job was last modified.
"
+ },
+ "FailureReason": {
+ "shape": "FailureReason",
+ "documentation": "If a model compilation job failed, the reason it failed.
"
+ },
+ "ModelArtifacts": {
+ "shape": "ModelArtifacts",
+ "documentation": "Information about the location in Amazon S3 that has been configured for storing the model artifacts used in the compilation job.
"
+ },
+ "RoleArn": {
+ "shape": "RoleArn",
+ "documentation": "The Amazon Resource Name (ARN) of the model compilation job.
"
+ },
+ "InputConfig": {
+ "shape": "InputConfig",
+ "documentation": "Information about the location in Amazon S3 of the input model artifacts, the name and shape of the expected data inputs, and the framework in which the model was trained.
"
+ },
+ "OutputConfig": {
+ "shape": "OutputConfig",
+ "documentation": "Information about the output location for the compiled model and the target device that the model runs on.
"
+ }
+ }
+ },
+ "DescribeDomainRequest": {
+ "type": "structure",
+ "required": [
+ "DomainId"
+ ],
+ "members": {
+ "DomainId": {
+ "shape": "DomainId",
+ "documentation": "The domain ID.
"
+ }
+ }
+ },
+ "DescribeDomainResponse": {
+ "type": "structure",
+ "members": {
+ "DomainArn": {
+ "shape": "DomainArn",
+ "documentation": "The domain's Amazon Resource Name (ARN).
"
+ },
+ "DomainId": {
+ "shape": "DomainId",
+ "documentation": "The domain ID.
"
+ },
+ "DomainName": {
+ "shape": "DomainName",
+ "documentation": "The domain name.
"
+ },
+ "HomeEfsFileSystemId": {
+ "shape": "ResourceId",
+ "documentation": "The ID of the Amazon Elastic File System (EFS) managed by this Domain.
"
+ },
+ "SingleSignOnManagedApplicationInstanceId": {
+ "shape": "String256",
+ "documentation": "The SSO managed application instance ID.
"
+ },
+ "Status": {
+ "shape": "DomainStatus",
+ "documentation": "The status.
"
+ },
+ "CreationTime": {
+ "shape": "CreationTime",
+ "documentation": "The creation time.
"
+ },
+ "LastModifiedTime": {
+ "shape": "LastModifiedTime",
+ "documentation": "The last modified time.
"
+ },
+ "FailureReason": {
+ "shape": "FailureReason",
+ "documentation": "The failure reason.
"
+ },
+ "AuthMode": {
+ "shape": "AuthMode",
+ "documentation": "The domain's authentication mode.
"
+ },
+ "DefaultUserSettings": {
+ "shape": "UserSettings",
+ "documentation": "Settings which are applied to all UserProfile in this domain, if settings are not explicitly specified in a given UserProfile.
"
+ },
+ "HomeEfsFileSystemKmsKeyId": {
+ "shape": "KmsKeyId",
+ "documentation": "The AWS Key Management Service encryption key ID.
"
+ },
+ "SubnetIds": {
+ "shape": "Subnets",
+ "documentation": "Security setting to limit to a set of subnets.
"
+ },
+ "Url": {
+ "shape": "String1024",
+ "documentation": "The domain's URL.
"
+ },
+ "VpcId": {
+ "shape": "VpcId",
+ "documentation": "The ID of the Amazon Virtual Private Cloud.
"
+ }
+ }
+ },
+ "DescribeEndpointConfigInput": {
+ "type": "structure",
+ "required": [
+ "EndpointConfigName"
+ ],
+ "members": {
+ "EndpointConfigName": {
+ "shape": "EndpointConfigName",
+ "documentation": "The name of the endpoint configuration.
"
+ }
+ }
+ },
+ "DescribeEndpointConfigOutput": {
+ "type": "structure",
+ "required": [
+ "EndpointConfigName",
+ "EndpointConfigArn",
+ "ProductionVariants",
+ "CreationTime"
+ ],
+ "members": {
+ "EndpointConfigName": {
+ "shape": "EndpointConfigName",
+ "documentation": "Name of the Amazon SageMaker endpoint configuration.
"
+ },
+ "EndpointConfigArn": {
+ "shape": "EndpointConfigArn",
+ "documentation": "The Amazon Resource Name (ARN) of the endpoint configuration.
"
+ },
+ "ProductionVariants": {
+ "shape": "ProductionVariantList",
+ "documentation": "An array of ProductionVariant
objects, one for each model that you want to host at this endpoint.
"
+ },
+ "DataCaptureConfig": {
+ "shape": "DataCaptureConfig"
+ },
+ "KmsKeyId": {
+ "shape": "KmsKeyId",
+ "documentation": "AWS KMS key ID Amazon SageMaker uses to encrypt data when storing it on the ML storage volume attached to the instance.
"
+ },
+ "CreationTime": {
+ "shape": "Timestamp",
+ "documentation": "A timestamp that shows when the endpoint configuration was created.
"
+ }
+ }
+ },
+ "DescribeEndpointInput": {
+ "type": "structure",
+ "required": [
+ "EndpointName"
+ ],
+ "members": {
+ "EndpointName": {
+ "shape": "EndpointName",
+ "documentation": "The name of the endpoint.
"
+ }
+ }
+ },
+ "DescribeEndpointOutput": {
+ "type": "structure",
+ "required": [
+ "EndpointName",
+ "EndpointArn",
+ "EndpointConfigName",
+ "EndpointStatus",
+ "CreationTime",
+ "LastModifiedTime"
+ ],
+ "members": {
+ "EndpointName": {
+ "shape": "EndpointName",
+ "documentation": "Name of the endpoint.
"
+ },
+ "EndpointArn": {
+ "shape": "EndpointArn",
+ "documentation": "The Amazon Resource Name (ARN) of the endpoint.
"
+ },
+ "EndpointConfigName": {
+ "shape": "EndpointConfigName",
+ "documentation": "The name of the endpoint configuration associated with this endpoint.
"
+ },
+ "ProductionVariants": {
+ "shape": "ProductionVariantSummaryList",
+ "documentation": " An array of ProductionVariantSummary objects, one for each model hosted behind this endpoint.
"
+ },
+ "DataCaptureConfig": {
+ "shape": "DataCaptureConfigSummary"
+ },
+ "EndpointStatus": {
+ "shape": "EndpointStatus",
+ "documentation": "The status of the endpoint.
-
OutOfService
: Endpoint is not available to take incoming requests.
-
Creating
: CreateEndpoint is executing.
-
Updating
: UpdateEndpoint or UpdateEndpointWeightsAndCapacities is executing.
-
SystemUpdating
: Endpoint is undergoing maintenance and cannot be updated or deleted or re-scaled until it has completed. This maintenance operation does not change any customer-specified values such as VPC config, KMS encryption, model, instance type, or instance count.
-
RollingBack
: Endpoint fails to scale up or down or change its variant weight and is in the process of rolling back to its previous configuration. Once the rollback completes, endpoint returns to an InService
status. This transitional status only applies to an endpoint that has autoscaling enabled and is undergoing variant weight or capacity changes as part of an UpdateEndpointWeightsAndCapacities call or when the UpdateEndpointWeightsAndCapacities operation is called explicitly.
-
InService
: Endpoint is available to process incoming requests.
-
Deleting
: DeleteEndpoint is executing.
-
Failed
: Endpoint could not be created, updated, or re-scaled. Use DescribeEndpointOutput$FailureReason for information about the failure. DeleteEndpoint is the only operation that can be performed on a failed endpoint.
"
+ },
+ "FailureReason": {
+ "shape": "FailureReason",
+ "documentation": "If the status of the endpoint is Failed
, the reason why it failed.
"
+ },
+ "CreationTime": {
+ "shape": "Timestamp",
+ "documentation": "A timestamp that shows when the endpoint was created.
"
+ },
+ "LastModifiedTime": {
+ "shape": "Timestamp",
+ "documentation": "A timestamp that shows when the endpoint was last modified.
"
+ }
+ }
+ },
+ "DescribeExperimentRequest": {
+ "type": "structure",
+ "required": [
+ "ExperimentName"
+ ],
+ "members": {
+ "ExperimentName": {
+ "shape": "ExperimentEntityName",
+ "documentation": "The name of the experiment to describe.
"
+ }
+ }
+ },
+ "DescribeExperimentResponse": {
+ "type": "structure",
+ "members": {
+ "ExperimentName": {
+ "shape": "ExperimentEntityName",
+ "documentation": "The name of the experiment.
"
+ },
+ "ExperimentArn": {
+ "shape": "ExperimentArn",
+ "documentation": "The Amazon Resource Name (ARN) of the experiment.
"
+ },
+ "DisplayName": {
+ "shape": "ExperimentEntityName",
+ "documentation": "The name of the experiment as displayed. If DisplayName
isn't specified, ExperimentName
is displayed.
"
+ },
+ "Source": {
+ "shape": "ExperimentSource",
+ "documentation": "The ARN of the source and, optionally, the type.
"
+ },
+ "Description": {
+ "shape": "ExperimentDescription",
+ "documentation": "The description of the experiment.
"
+ },
+ "CreationTime": {
+ "shape": "Timestamp",
+ "documentation": "When the experiment was created.
"
+ },
+ "CreatedBy": {
+ "shape": "UserContext",
+ "documentation": "Who created the experiment.
"
+ },
+ "LastModifiedTime": {
+ "shape": "Timestamp",
+ "documentation": "When the experiment was last modified.
"
+ },
+ "LastModifiedBy": {
+ "shape": "UserContext",
+ "documentation": "Who last modified the experiment.
"
+ }
+ }
+ },
+ "DescribeFlowDefinitionRequest": {
+ "type": "structure",
+ "required": [
+ "FlowDefinitionName"
+ ],
+ "members": {
+ "FlowDefinitionName": {
+ "shape": "FlowDefinitionName",
+ "documentation": "The name of the flow definition.
"
+ }
+ }
+ },
+ "DescribeFlowDefinitionResponse": {
+ "type": "structure",
+ "required": [
+ "FlowDefinitionArn",
+ "FlowDefinitionName",
+ "FlowDefinitionStatus",
+ "CreationTime",
+ "HumanLoopConfig",
+ "OutputConfig",
+ "RoleArn"
+ ],
+ "members": {
+ "FlowDefinitionArn": {
+ "shape": "FlowDefinitionArn",
+ "documentation": "The Amazon Resource Name (ARN) of the flow defintion.
"
+ },
+ "FlowDefinitionName": {
+ "shape": "FlowDefinitionName",
+ "documentation": "The Amazon Resource Name (ARN) of the flow definition.
"
+ },
+ "FlowDefinitionStatus": {
+ "shape": "FlowDefinitionStatus",
+ "documentation": "The status of the flow definition. Valid values are listed below.
"
+ },
+ "CreationTime": {
+ "shape": "Timestamp",
+ "documentation": "The timestamp when the flow definition was created.
"
+ },
+ "HumanLoopActivationConfig": {
+ "shape": "HumanLoopActivationConfig",
+ "documentation": "An object containing information about what triggers a human review workflow.
"
+ },
+ "HumanLoopConfig": {
+ "shape": "HumanLoopConfig",
+ "documentation": "An object containing information about who works on the task, the workforce task price, and other task details.
"
+ },
+ "OutputConfig": {
+ "shape": "FlowDefinitionOutputConfig",
+ "documentation": "An object containing information about the output file.
"
+ },
+ "RoleArn": {
+ "shape": "RoleArn",
+ "documentation": "The Amazon Resource Name (ARN) of the AWS Identity and Access Management (IAM) execution role for the flow definition.
"
+ },
+ "FailureReason": {
+ "shape": "FailureReason",
+ "documentation": ""
+ }
+ }
+ },
+ "DescribeHumanTaskUiRequest": {
+ "type": "structure",
+ "required": [
+ "HumanTaskUiName"
+ ],
+ "members": {
+ "HumanTaskUiName": {
+ "shape": "HumanTaskUiName",
+ "documentation": "The name of the human task user interface you want information about.
"
+ }
+ }
+ },
+ "DescribeHumanTaskUiResponse": {
+ "type": "structure",
+ "required": [
+ "HumanTaskUiArn",
+ "HumanTaskUiName",
+ "CreationTime",
+ "UiTemplate"
+ ],
+ "members": {
+ "HumanTaskUiArn": {
+ "shape": "HumanTaskUiArn",
+ "documentation": "The Amazon Resource Name (ARN) of the human task user interface.
"
+ },
+ "HumanTaskUiName": {
+ "shape": "HumanTaskUiName",
+ "documentation": "The name of the human task user interface.
"
+ },
+ "CreationTime": {
+ "shape": "Timestamp",
+ "documentation": "The timestamp when the human task user interface was created.
"
+ },
+ "UiTemplate": {
+ "shape": "UiTemplateInfo"
+ }
+ }
+ },
+ "DescribeHyperParameterTuningJobRequest": {
+ "type": "structure",
+ "required": [
+ "HyperParameterTuningJobName"
+ ],
+ "members": {
+ "HyperParameterTuningJobName": {
+ "shape": "HyperParameterTuningJobName",
+ "documentation": "The name of the tuning job to describe.
"
+ }
+ }
+ },
+ "DescribeHyperParameterTuningJobResponse": {
+ "type": "structure",
+ "required": [
+ "HyperParameterTuningJobName",
+ "HyperParameterTuningJobArn",
+ "HyperParameterTuningJobConfig",
+ "HyperParameterTuningJobStatus",
+ "CreationTime",
+ "TrainingJobStatusCounters",
+ "ObjectiveStatusCounters"
+ ],
+ "members": {
+ "HyperParameterTuningJobName": {
+ "shape": "HyperParameterTuningJobName",
+ "documentation": "The name of the tuning job.
"
+ },
+ "HyperParameterTuningJobArn": {
+ "shape": "HyperParameterTuningJobArn",
+ "documentation": "The Amazon Resource Name (ARN) of the tuning job.
"
+ },
+ "HyperParameterTuningJobConfig": {
+ "shape": "HyperParameterTuningJobConfig",
+ "documentation": "The HyperParameterTuningJobConfig object that specifies the configuration of the tuning job.
"
+ },
+ "TrainingJobDefinition": {
+ "shape": "HyperParameterTrainingJobDefinition",
+ "documentation": "The HyperParameterTrainingJobDefinition object that specifies the definition of the training jobs that this tuning job launches.
"
+ },
+ "TrainingJobDefinitions": {
+ "shape": "HyperParameterTrainingJobDefinitions",
+ "documentation": ""
+ },
+ "HyperParameterTuningJobStatus": {
+ "shape": "HyperParameterTuningJobStatus",
+ "documentation": "The status of the tuning job: InProgress, Completed, Failed, Stopping, or Stopped.
"
+ },
+ "CreationTime": {
+ "shape": "Timestamp",
+ "documentation": "The date and time that the tuning job started.
"
+ },
+ "HyperParameterTuningEndTime": {
+ "shape": "Timestamp",
+ "documentation": "The date and time that the tuning job ended.
"
+ },
+ "LastModifiedTime": {
+ "shape": "Timestamp",
+ "documentation": "The date and time that the status of the tuning job was modified.
"
+ },
+ "TrainingJobStatusCounters": {
+ "shape": "TrainingJobStatusCounters",
+ "documentation": "The TrainingJobStatusCounters object that specifies the number of training jobs, categorized by status, that this tuning job launched.
"
+ },
+ "ObjectiveStatusCounters": {
+ "shape": "ObjectiveStatusCounters",
+ "documentation": "The ObjectiveStatusCounters object that specifies the number of training jobs, categorized by the status of their final objective metric, that this tuning job launched.
"
+ },
+ "BestTrainingJob": {
+ "shape": "HyperParameterTrainingJobSummary",
+ "documentation": "A TrainingJobSummary object that describes the training job that completed with the best current HyperParameterTuningJobObjective.
"
+ },
+ "OverallBestTrainingJob": {
+ "shape": "HyperParameterTrainingJobSummary",
+ "documentation": "If the hyperparameter tuning job is an warm start tuning job with a WarmStartType
of IDENTICAL_DATA_AND_ALGORITHM
, this is the TrainingJobSummary for the training job with the best objective metric value of all training jobs launched by this tuning job and all parent jobs specified for the warm start tuning job.
"
+ },
+ "WarmStartConfig": {
+ "shape": "HyperParameterTuningJobWarmStartConfig",
+ "documentation": "The configuration for starting the hyperparameter parameter tuning job using one or more previous tuning jobs as a starting point. The results of previous tuning jobs are used to inform which combinations of hyperparameters to search over in the new tuning job.
"
+ },
+ "FailureReason": {
+ "shape": "FailureReason",
+ "documentation": "If the tuning job failed, the reason it failed.
"
+ }
+ }
+ },
+ "DescribeLabelingJobRequest": {
+ "type": "structure",
+ "required": [
+ "LabelingJobName"
+ ],
+ "members": {
+ "LabelingJobName": {
+ "shape": "LabelingJobName",
+ "documentation": "The name of the labeling job to return information for.
"
+ }
+ }
+ },
+ "DescribeLabelingJobResponse": {
+ "type": "structure",
+ "required": [
+ "LabelingJobStatus",
+ "LabelCounters",
+ "CreationTime",
+ "LastModifiedTime",
+ "JobReferenceCode",
+ "LabelingJobName",
+ "LabelingJobArn",
+ "InputConfig",
+ "OutputConfig",
+ "RoleArn",
+ "HumanTaskConfig"
+ ],
+ "members": {
+ "LabelingJobStatus": {
+ "shape": "LabelingJobStatus",
+ "documentation": "The processing status of the labeling job.
"
+ },
+ "LabelCounters": {
+ "shape": "LabelCounters",
+ "documentation": "Provides a breakdown of the number of data objects labeled by humans, the number of objects labeled by machine, the number of objects than couldn't be labeled, and the total number of objects labeled.
"
+ },
+ "FailureReason": {
+ "shape": "FailureReason",
+ "documentation": "If the job failed, the reason that it failed.
"
+ },
+ "CreationTime": {
+ "shape": "Timestamp",
+ "documentation": "The date and time that the labeling job was created.
"
+ },
+ "LastModifiedTime": {
+ "shape": "Timestamp",
+ "documentation": "The date and time that the labeling job was last updated.
"
+ },
+ "JobReferenceCode": {
+ "shape": "JobReferenceCode",
+ "documentation": "A unique identifier for work done as part of a labeling job.
"
+ },
+ "LabelingJobName": {
+ "shape": "LabelingJobName",
+ "documentation": "The name assigned to the labeling job when it was created.
"
+ },
+ "LabelingJobArn": {
+ "shape": "LabelingJobArn",
+ "documentation": "The Amazon Resource Name (ARN) of the labeling job.
"
+ },
+ "LabelAttributeName": {
+ "shape": "LabelAttributeName",
+ "documentation": "The attribute used as the label in the output manifest file.
"
+ },
+ "InputConfig": {
+ "shape": "LabelingJobInputConfig",
+ "documentation": "Input configuration information for the labeling job, such as the Amazon S3 location of the data objects and the location of the manifest file that describes the data objects.
"
+ },
+ "OutputConfig": {
+ "shape": "LabelingJobOutputConfig",
+ "documentation": "The location of the job's output data and the AWS Key Management Service key ID for the key used to encrypt the output data, if any.
"
+ },
+ "RoleArn": {
+ "shape": "RoleArn",
+ "documentation": "The Amazon Resource Name (ARN) that Amazon SageMaker assumes to perform tasks on your behalf during data labeling.
"
+ },
+ "LabelCategoryConfigS3Uri": {
+ "shape": "S3Uri",
+ "documentation": "The S3 location of the JSON file that defines the categories used to label data objects. Please note the following label-category limits:
The file is a JSON structure in the following format:
{
\"document-version\": \"2018-11-28\"
\"labels\": [
{
\"label\": \"label 1\"
},
{
\"label\": \"label 2\"
},
...
{
\"label\": \"label n\"
}
]
}
"
+ },
+ "StoppingConditions": {
+ "shape": "LabelingJobStoppingConditions",
+ "documentation": "A set of conditions for stopping a labeling job. If any of the conditions are met, the job is automatically stopped.
"
+ },
+ "LabelingJobAlgorithmsConfig": {
+ "shape": "LabelingJobAlgorithmsConfig",
+ "documentation": "Configuration information for automated data labeling.
"
+ },
+ "HumanTaskConfig": {
+ "shape": "HumanTaskConfig",
+ "documentation": "Configuration information required for human workers to complete a labeling task.
"
+ },
+ "Tags": {
+ "shape": "TagList",
+ "documentation": "An array of key/value pairs. For more information, see Using Cost Allocation Tags in the AWS Billing and Cost Management User Guide.
"
+ },
+ "LabelingJobOutput": {
+ "shape": "LabelingJobOutput",
+ "documentation": "The location of the output produced by the labeling job.
"
+ }
+ }
+ },
+ "DescribeModelInput": {
+ "type": "structure",
+ "required": [
+ "ModelName"
+ ],
+ "members": {
+ "ModelName": {
+ "shape": "ModelName",
+ "documentation": "The name of the model.
"
+ }
+ }
+ },
+ "DescribeModelOutput": {
+ "type": "structure",
+ "required": [
+ "ModelName",
+ "ExecutionRoleArn",
+ "CreationTime",
+ "ModelArn"
+ ],
+ "members": {
+ "ModelName": {
+ "shape": "ModelName",
+ "documentation": "Name of the Amazon SageMaker model.
"
+ },
+ "PrimaryContainer": {
+ "shape": "ContainerDefinition",
+ "documentation": "The location of the primary inference code, associated artifacts, and custom environment map that the inference code uses when it is deployed in production.
"
+ },
+ "Containers": {
+ "shape": "ContainerDefinitionList",
+ "documentation": "The containers in the inference pipeline.
"
+ },
+ "ExecutionRoleArn": {
+ "shape": "RoleArn",
+ "documentation": "The Amazon Resource Name (ARN) of the IAM role that you specified for the model.
"
+ },
+ "VpcConfig": {
+ "shape": "VpcConfig",
+ "documentation": "A VpcConfig object that specifies the VPC that this model has access to. For more information, see Protect Endpoints by Using an Amazon Virtual Private Cloud
"
+ },
+ "CreationTime": {
+ "shape": "Timestamp",
+ "documentation": "A timestamp that shows when the model was created.
"
+ },
+ "ModelArn": {
+ "shape": "ModelArn",
+ "documentation": "The Amazon Resource Name (ARN) of the model.
"
+ },
+ "EnableNetworkIsolation": {
+ "shape": "Boolean",
+ "documentation": "If True
, no inbound or outbound network calls can be made to or from the model container.
The Semantic Segmentation built-in algorithm does not support network isolation.
"
+ }
+ }
+ },
+ "DescribeModelPackageInput": {
+ "type": "structure",
+ "required": [
+ "ModelPackageName"
+ ],
+ "members": {
+ "ModelPackageName": {
+ "shape": "ArnOrName",
+ "documentation": "The name of the model package to describe.
"
+ }
+ }
+ },
+ "DescribeModelPackageOutput": {
+ "type": "structure",
+ "required": [
+ "ModelPackageName",
+ "ModelPackageArn",
+ "CreationTime",
+ "ModelPackageStatus",
+ "ModelPackageStatusDetails"
+ ],
+ "members": {
+ "ModelPackageName": {
+ "shape": "EntityName",
+ "documentation": "The name of the model package being described.
"
+ },
+ "ModelPackageArn": {
+ "shape": "ModelPackageArn",
+ "documentation": "The Amazon Resource Name (ARN) of the model package.
"
+ },
+ "ModelPackageDescription": {
+ "shape": "EntityDescription",
+ "documentation": "A brief summary of the model package.
"
+ },
+ "CreationTime": {
+ "shape": "CreationTime",
+ "documentation": "A timestamp specifying when the model package was created.
"
+ },
+ "InferenceSpecification": {
+ "shape": "InferenceSpecification",
+ "documentation": "Details about inference jobs that can be run with models based on this model package.
"
+ },
+ "SourceAlgorithmSpecification": {
+ "shape": "SourceAlgorithmSpecification",
+ "documentation": "Details about the algorithm that was used to create the model package.
"
+ },
+ "ValidationSpecification": {
+ "shape": "ModelPackageValidationSpecification",
+ "documentation": "Configurations for one or more transform jobs that Amazon SageMaker runs to test the model package.
"
+ },
+ "ModelPackageStatus": {
+ "shape": "ModelPackageStatus",
+ "documentation": "The current status of the model package.
"
+ },
+ "ModelPackageStatusDetails": {
+ "shape": "ModelPackageStatusDetails",
+ "documentation": "Details about the current status of the model package.
"
+ },
+ "CertifyForMarketplace": {
+ "shape": "CertifyForMarketplace",
+ "documentation": "Whether the model package is certified for listing on AWS Marketplace.
"
+ }
+ }
+ },
+ "DescribeMonitoringScheduleRequest": {
+ "type": "structure",
+ "required": [
+ "MonitoringScheduleName"
+ ],
+ "members": {
+ "MonitoringScheduleName": {
+ "shape": "MonitoringScheduleName",
+ "documentation": "Name of a previously created monitoring schedule.
"
+ }
+ }
+ },
+ "DescribeMonitoringScheduleResponse": {
+ "type": "structure",
+ "required": [
+ "MonitoringScheduleArn",
+ "MonitoringScheduleName",
+ "MonitoringScheduleStatus",
+ "CreationTime",
+ "LastModifiedTime",
+ "MonitoringScheduleConfig"
+ ],
+ "members": {
+ "MonitoringScheduleArn": {
+ "shape": "MonitoringScheduleArn",
+ "documentation": "The Amazon Resource Name (ARN) of the monitoring schedule.
"
+ },
+ "MonitoringScheduleName": {
+ "shape": "MonitoringScheduleName",
+ "documentation": "Name of the monitoring schedule.
"
+ },
+ "MonitoringScheduleStatus": {
+ "shape": "ScheduleStatus",
+ "documentation": "The status of an monitoring job.
"
+ },
+ "FailureReason": {
+ "shape": "FailureReason",
+ "documentation": "A string, up to one KB in size, that contains the reason a monitoring job failed, if it failed.
"
+ },
+ "CreationTime": {
+ "shape": "Timestamp",
+ "documentation": "The time at which the monitoring job was created.
"
+ },
+ "LastModifiedTime": {
+ "shape": "Timestamp",
+ "documentation": "The time at which the monitoring job was last modified.
"
+ },
+ "MonitoringScheduleConfig": {
+ "shape": "MonitoringScheduleConfig",
+ "documentation": "The configuration object that specifies the monitoring schedule and defines the monitoring job.
"
+ },
+ "EndpointName": {
+ "shape": "EndpointName",
+ "documentation": " The name of the endpoint for the monitoring job.
"
+ },
+ "LastMonitoringExecutionSummary": {
+ "shape": "MonitoringExecutionSummary",
+ "documentation": "Describes metadata on the last execution to run, if there was one.
"
+ }
+ }
+ },
+ "DescribeNotebookInstanceInput": {
+ "type": "structure",
+ "required": [
+ "NotebookInstanceName"
+ ],
+ "members": {
+ "NotebookInstanceName": {
+ "shape": "NotebookInstanceName",
+ "documentation": "The name of the notebook instance that you want information about.
"
+ }
+ }
+ },
+ "DescribeNotebookInstanceLifecycleConfigInput": {
+ "type": "structure",
+ "required": [
+ "NotebookInstanceLifecycleConfigName"
+ ],
+ "members": {
+ "NotebookInstanceLifecycleConfigName": {
+ "shape": "NotebookInstanceLifecycleConfigName",
+ "documentation": "The name of the lifecycle configuration to describe.
"
+ }
+ }
+ },
+ "DescribeNotebookInstanceLifecycleConfigOutput": {
+ "type": "structure",
+ "members": {
+ "NotebookInstanceLifecycleConfigArn": {
+ "shape": "NotebookInstanceLifecycleConfigArn",
+ "documentation": "The Amazon Resource Name (ARN) of the lifecycle configuration.
"
+ },
+ "NotebookInstanceLifecycleConfigName": {
+ "shape": "NotebookInstanceLifecycleConfigName",
+ "documentation": "The name of the lifecycle configuration.
"
+ },
+ "OnCreate": {
+ "shape": "NotebookInstanceLifecycleConfigList",
+ "documentation": "The shell script that runs only once, when you create a notebook instance.
"
+ },
+ "OnStart": {
+ "shape": "NotebookInstanceLifecycleConfigList",
+ "documentation": "The shell script that runs every time you start a notebook instance, including when you create the notebook instance.
"
+ },
+ "LastModifiedTime": {
+ "shape": "LastModifiedTime",
+ "documentation": "A timestamp that tells when the lifecycle configuration was last modified.
"
+ },
+ "CreationTime": {
+ "shape": "CreationTime",
+ "documentation": "A timestamp that tells when the lifecycle configuration was created.
"
+ }
+ }
+ },
+ "DescribeNotebookInstanceOutput": {
+ "type": "structure",
+ "members": {
+ "NotebookInstanceArn": {
+ "shape": "NotebookInstanceArn",
+ "documentation": "The Amazon Resource Name (ARN) of the notebook instance.
"
+ },
+ "NotebookInstanceName": {
+ "shape": "NotebookInstanceName",
+ "documentation": "The name of the Amazon SageMaker notebook instance.
"
+ },
+ "NotebookInstanceStatus": {
+ "shape": "NotebookInstanceStatus",
+ "documentation": "The status of the notebook instance.
"
+ },
+ "FailureReason": {
+ "shape": "FailureReason",
+ "documentation": "If status is Failed
, the reason it failed.
"
+ },
+ "Url": {
+ "shape": "NotebookInstanceUrl",
+ "documentation": "The URL that you use to connect to the Jupyter notebook that is running in your notebook instance.
"
+ },
+ "InstanceType": {
+ "shape": "InstanceType",
+ "documentation": "The type of ML compute instance running on the notebook instance.
"
+ },
+ "SubnetId": {
+ "shape": "SubnetId",
+ "documentation": "The ID of the VPC subnet.
"
+ },
+ "SecurityGroups": {
+ "shape": "SecurityGroupIds",
+ "documentation": "The IDs of the VPC security groups.
"
+ },
+ "RoleArn": {
+ "shape": "RoleArn",
+ "documentation": "The Amazon Resource Name (ARN) of the IAM role associated with the instance.
"
+ },
+ "KmsKeyId": {
+ "shape": "KmsKeyId",
+ "documentation": "The AWS KMS key ID Amazon SageMaker uses to encrypt data when storing it on the ML storage volume attached to the instance.
"
+ },
+ "NetworkInterfaceId": {
+ "shape": "NetworkInterfaceId",
+ "documentation": "The network interface IDs that Amazon SageMaker created at the time of creating the instance.
"
+ },
+ "LastModifiedTime": {
+ "shape": "LastModifiedTime",
+ "documentation": "A timestamp. Use this parameter to retrieve the time when the notebook instance was last modified.
"
+ },
+ "CreationTime": {
+ "shape": "CreationTime",
+ "documentation": "A timestamp. Use this parameter to return the time when the notebook instance was created
"
+ },
+ "NotebookInstanceLifecycleConfigName": {
+ "shape": "NotebookInstanceLifecycleConfigName",
+ "documentation": "Returns the name of a notebook instance lifecycle configuration.
For information about notebook instance lifestyle configurations, see Step 2.1: (Optional) Customize a Notebook Instance
"
+ },
+ "DirectInternetAccess": {
+ "shape": "DirectInternetAccess",
+ "documentation": "Describes whether Amazon SageMaker provides internet access to the notebook instance. If this value is set to Disabled, the notebook instance does not have internet access, and cannot connect to Amazon SageMaker training and endpoint services.
For more information, see Notebook Instances Are Internet-Enabled by Default.
"
+ },
+ "VolumeSizeInGB": {
+ "shape": "NotebookInstanceVolumeSizeInGB",
+ "documentation": "The size, in GB, of the ML storage volume attached to the notebook instance.
"
+ },
+ "AcceleratorTypes": {
+ "shape": "NotebookInstanceAcceleratorTypes",
+ "documentation": "A list of the Elastic Inference (EI) instance types associated with this notebook instance. Currently only one EI instance type can be associated with a notebook instance. For more information, see Using Elastic Inference in Amazon SageMaker.
"
+ },
+ "DefaultCodeRepository": {
+ "shape": "CodeRepositoryNameOrUrl",
+ "documentation": "The Git repository associated with the notebook instance as its default code repository. This can be either the name of a Git repository stored as a resource in your account, or the URL of a Git repository in AWS CodeCommit or in any other Git repository. When you open a notebook instance, it opens in the directory that contains this repository. For more information, see Associating Git Repositories with Amazon SageMaker Notebook Instances.
"
+ },
+ "AdditionalCodeRepositories": {
+ "shape": "AdditionalCodeRepositoryNamesOrUrls",
+ "documentation": "An array of up to three Git repositories associated with the notebook instance. These can be either the names of Git repositories stored as resources in your account, or the URL of Git repositories in AWS CodeCommit or in any other Git repository. These repositories are cloned at the same level as the default repository of your notebook instance. For more information, see Associating Git Repositories with Amazon SageMaker Notebook Instances.
"
+ },
+ "RootAccess": {
+ "shape": "RootAccess",
+ "documentation": "Whether root access is enabled or disabled for users of the notebook instance.
Lifecycle configurations need root access to be able to set up a notebook instance. Because of this, lifecycle configurations associated with a notebook instance always run with root access even if you disable root access for users.
"
+ }
+ }
+ },
+ "DescribeProcessingJobRequest": {
+ "type": "structure",
+ "required": [
+ "ProcessingJobName"
+ ],
+ "members": {
+ "ProcessingJobName": {
+ "shape": "ProcessingJobName",
+ "documentation": "The name of the processing job. The name must be unique within an AWS Region in the AWS account.
"
+ }
+ }
+ },
+ "DescribeProcessingJobResponse": {
+ "type": "structure",
+ "required": [
+ "ProcessingJobName",
+ "ProcessingResources",
+ "AppSpecification",
+ "ProcessingJobArn",
+ "ProcessingJobStatus",
+ "CreationTime"
+ ],
+ "members": {
+ "ProcessingInputs": {
+ "shape": "ProcessingInputs",
+ "documentation": "The inputs for a processing job.
"
+ },
+ "ProcessingOutputConfig": {
+ "shape": "ProcessingOutputConfig",
+ "documentation": "Output configuration for the processing job.
"
+ },
+ "ProcessingJobName": {
+ "shape": "ProcessingJobName",
+ "documentation": "The name of the processing job. The name must be unique within an AWS Region in the AWS account.
"
+ },
+ "ProcessingResources": {
+ "shape": "ProcessingResources",
+ "documentation": "Identifies the resources, ML compute instances, and ML storage volumes to deploy for a processing job. In distributed training, you specify more than one instance.
"
+ },
+ "StoppingCondition": {
+ "shape": "ProcessingStoppingCondition",
+ "documentation": "The time limit for how long the processing job is allowed to run.
"
+ },
+ "AppSpecification": {
+ "shape": "AppSpecification",
+ "documentation": "Configures the processing job to run a specified container image.
"
+ },
+ "Environment": {
+ "shape": "ProcessingEnvironmentMap",
+ "documentation": "The environment variables set in the Docker container.
"
+ },
+ "NetworkConfig": {
+ "shape": "NetworkConfig",
+ "documentation": "Networking options for a processing job.
"
+ },
+ "RoleArn": {
+ "shape": "RoleArn",
+ "documentation": "The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker can assume to perform tasks on your behalf.
"
+ },
+ "ExperimentConfig": {
+ "shape": "ExperimentConfig",
+ "documentation": "The configuration information used to create an experiment.
"
+ },
+ "ProcessingJobArn": {
+ "shape": "ProcessingJobArn",
+ "documentation": "The Amazon Resource Name (ARN) of the processing job.
"
+ },
+ "ProcessingJobStatus": {
+ "shape": "ProcessingJobStatus",
+ "documentation": "Provides the status of a processing job.
"
+ },
+ "ExitMessage": {
+ "shape": "ExitMessage",
+ "documentation": "An optional string, up to one KB in size, that contains metadata from the processing container when the processing job exits.
"
+ },
+ "FailureReason": {
+ "shape": "FailureReason",
+ "documentation": "A string, up to one KB in size, that contains the reason a processing job failed, if it failed.
"
+ },
+ "ProcessingEndTime": {
+ "shape": "Timestamp",
+ "documentation": "The time at which the processing job completed.
"
+ },
+ "ProcessingStartTime": {
+ "shape": "Timestamp",
+ "documentation": "The time at which the processing job started.
"
+ },
+ "LastModifiedTime": {
+ "shape": "Timestamp",
+ "documentation": "The time at which the processing job was last modified.
"
+ },
+ "CreationTime": {
+ "shape": "Timestamp",
+ "documentation": "The time at which the processing job was created.
"
+ },
+ "MonitoringScheduleArn": {
+ "shape": "MonitoringScheduleArn",
+ "documentation": "The ARN of a monitoring schedule for an endpoint associated with this processing job.
"
+ },
+ "AutoMLJobArn": {
+ "shape": "AutoMLJobArn",
+ "documentation": "The ARN of an AutoML job associated with this processing job.
"
+ },
+ "TrainingJobArn": {
+ "shape": "TrainingJobArn",
+ "documentation": "The ARN of a training job associated with this processing job.
"
+ }
+ }
+ },
+ "DescribeSubscribedWorkteamRequest": {
+ "type": "structure",
+ "required": [
+ "WorkteamArn"
+ ],
+ "members": {
+ "WorkteamArn": {
+ "shape": "WorkteamArn",
+ "documentation": "The Amazon Resource Name (ARN) of the subscribed work team to describe.
"
+ }
+ }
+ },
+ "DescribeSubscribedWorkteamResponse": {
+ "type": "structure",
+ "required": [
+ "SubscribedWorkteam"
+ ],
+ "members": {
+ "SubscribedWorkteam": {
+ "shape": "SubscribedWorkteam",
+ "documentation": "A Workteam
instance that contains information about the work team.
"
+ }
+ }
+ },
+ "DescribeTrainingJobRequest": {
+ "type": "structure",
+ "required": [
+ "TrainingJobName"
+ ],
+ "members": {
+ "TrainingJobName": {
+ "shape": "TrainingJobName",
+ "documentation": "The name of the training job.
"
+ }
+ }
+ },
+ "DescribeTrainingJobResponse": {
+ "type": "structure",
+ "required": [
+ "TrainingJobName",
+ "TrainingJobArn",
+ "ModelArtifacts",
+ "TrainingJobStatus",
+ "SecondaryStatus",
+ "AlgorithmSpecification",
+ "ResourceConfig",
+ "StoppingCondition",
+ "CreationTime"
+ ],
+ "members": {
+ "TrainingJobName": {
+ "shape": "TrainingJobName",
+ "documentation": " Name of the model training job.
"
+ },
+ "TrainingJobArn": {
+ "shape": "TrainingJobArn",
+ "documentation": "The Amazon Resource Name (ARN) of the training job.
"
+ },
+ "TuningJobArn": {
+ "shape": "HyperParameterTuningJobArn",
+ "documentation": "The Amazon Resource Name (ARN) of the associated hyperparameter tuning job if the training job was launched by a hyperparameter tuning job.
"
+ },
+ "LabelingJobArn": {
+ "shape": "LabelingJobArn",
+ "documentation": "The Amazon Resource Name (ARN) of the Amazon SageMaker Ground Truth labeling job that created the transform or training job.
"
+ },
+ "AutoMLJobArn": {
+ "shape": "AutoMLJobArn",
+ "documentation": ""
+ },
+ "ModelArtifacts": {
+ "shape": "ModelArtifacts",
+ "documentation": "Information about the Amazon S3 location that is configured for storing model artifacts.
"
+ },
+ "TrainingJobStatus": {
+ "shape": "TrainingJobStatus",
+ "documentation": "The status of the training job.
Amazon SageMaker provides the following training job statuses:
-
InProgress
- The training is in progress.
-
Completed
- The training job has completed.
-
Failed
- The training job has failed. To see the reason for the failure, see the FailureReason
field in the response to a DescribeTrainingJobResponse
call.
-
Stopping
- The training job is stopping.
-
Stopped
- The training job has stopped.
For more detailed information, see SecondaryStatus
.
"
+ },
+ "SecondaryStatus": {
+ "shape": "SecondaryStatus",
+ "documentation": " Provides detailed information about the state of the training job. For detailed information on the secondary status of the training job, see StatusMessage
under SecondaryStatusTransition.
Amazon SageMaker provides primary statuses and secondary statuses that apply to each of them:
- InProgress
-
-
Starting
- Starting the training job.
-
Downloading
- An optional stage for algorithms that support File
training input mode. It indicates that data is being downloaded to the ML storage volumes.
-
Training
- Training is in progress.
-
Interrupted
- The job stopped because the managed spot training instances were interrupted.
-
Uploading
- Training is complete and the model artifacts are being uploaded to the S3 location.
- Completed
-
- Failed
-
- Stopped
-
-
MaxRuntimeExceeded
- The job stopped because it exceeded the maximum allowed runtime.
-
MaxWaitTmeExceeded
- The job stopped because it exceeded the maximum allowed wait time.
-
Stopped
- The training job has stopped.
- Stopping
-
Valid values for SecondaryStatus
are subject to change.
We no longer support the following secondary statuses:
-
LaunchingMLInstances
-
PreparingTrainingStack
-
DownloadingTrainingImage
"
+ },
+ "FailureReason": {
+ "shape": "FailureReason",
+ "documentation": "If the training job failed, the reason it failed.
"
+ },
+ "HyperParameters": {
+ "shape": "HyperParameters",
+ "documentation": "Algorithm-specific parameters.
"
+ },
+ "AlgorithmSpecification": {
+ "shape": "AlgorithmSpecification",
+ "documentation": "Information about the algorithm used for training, and algorithm metadata.
"
+ },
+ "RoleArn": {
+ "shape": "RoleArn",
+ "documentation": "The AWS Identity and Access Management (IAM) role configured for the training job.
"
+ },
+ "InputDataConfig": {
+ "shape": "InputDataConfig",
+ "documentation": "An array of Channel
objects that describes each data input channel.
"
+ },
+ "OutputDataConfig": {
+ "shape": "OutputDataConfig",
+ "documentation": "The S3 path where model artifacts that you configured when creating the job are stored. Amazon SageMaker creates subfolders for model artifacts.
"
+ },
+ "ResourceConfig": {
+ "shape": "ResourceConfig",
+ "documentation": "Resources, including ML compute instances and ML storage volumes, that are configured for model training.
"
+ },
+ "VpcConfig": {
+ "shape": "VpcConfig",
+ "documentation": "A VpcConfig object that specifies the VPC that this training job has access to. For more information, see Protect Training Jobs by Using an Amazon Virtual Private Cloud.
"
+ },
+ "StoppingCondition": {
+ "shape": "StoppingCondition",
+ "documentation": "Specifies a limit to how long a model training job can run. It also specifies the maximum time to wait for a spot instance. When the job reaches the time limit, Amazon SageMaker ends the training job. Use this API to cap model training costs.
To stop a job, Amazon SageMaker sends the algorithm the SIGTERM
signal, which delays job termination for 120 seconds. Algorithms can use this 120-second window to save the model artifacts, so the results of training are not lost.
"
+ },
+ "CreationTime": {
+ "shape": "Timestamp",
+ "documentation": "A timestamp that indicates when the training job was created.
"
+ },
+ "TrainingStartTime": {
+ "shape": "Timestamp",
+ "documentation": "Indicates the time when the training job starts on training instances. You are billed for the time interval between this time and the value of TrainingEndTime
. The start time in CloudWatch Logs might be later than this time. The difference is due to the time it takes to download the training data and to the size of the training container.
"
+ },
+ "TrainingEndTime": {
+ "shape": "Timestamp",
+ "documentation": "Indicates the time when the training job ends on training instances. You are billed for the time interval between the value of TrainingStartTime
and this time. For successful jobs and stopped jobs, this is the time after model artifacts are uploaded. For failed jobs, this is the time when Amazon SageMaker detects a job failure.
"
+ },
+ "LastModifiedTime": {
+ "shape": "Timestamp",
+ "documentation": "A timestamp that indicates when the status of the training job was last modified.
"
+ },
+ "SecondaryStatusTransitions": {
+ "shape": "SecondaryStatusTransitions",
+ "documentation": "A history of all of the secondary statuses that the training job has transitioned through.
"
+ },
+ "FinalMetricDataList": {
+ "shape": "FinalMetricDataList",
+ "documentation": "A collection of MetricData
objects that specify the names, values, and dates and times that the training algorithm emitted to Amazon CloudWatch.
"
+ },
+ "EnableNetworkIsolation": {
+ "shape": "Boolean",
+ "documentation": "If you want to allow inbound or outbound network calls, except for calls between peers within a training cluster for distributed training, choose True
. If you enable network isolation for training jobs that are configured to use a VPC, Amazon SageMaker downloads and uploads customer data and model artifacts through the specified VPC, but the training container does not have network access.
The Semantic Segmentation built-in algorithm does not support network isolation.
"
+ },
+ "EnableInterContainerTrafficEncryption": {
+ "shape": "Boolean",
+ "documentation": "To encrypt all communications between ML compute instances in distributed training, choose True
. Encryption provides greater security for distributed training, but training might take longer. How long it takes depends on the amount of communication between compute instances, especially if you use a deep learning algorithms in distributed training.
"
+ },
+ "EnableManagedSpotTraining": {
+ "shape": "Boolean",
+ "documentation": "A Boolean indicating whether managed spot training is enabled (True
) or not (False
).
"
+ },
+ "CheckpointConfig": {
+ "shape": "CheckpointConfig"
+ },
+ "TrainingTimeInSeconds": {
+ "shape": "TrainingTimeInSeconds",
+ "documentation": "The training time in seconds.
"
+ },
+ "BillableTimeInSeconds": {
+ "shape": "BillableTimeInSeconds",
+ "documentation": "The billable time in seconds.
You can calculate the savings from using managed spot training using the formula (1 - BillableTimeInSeconds / TrainingTimeInSeconds) * 100
. For example, if BillableTimeInSeconds
is 100 and TrainingTimeInSeconds
is 500, the savings is 80%.
"
+ },
+ "DebugHookConfig": {
+ "shape": "DebugHookConfig"
+ },
+ "ExperimentConfig": {
+ "shape": "ExperimentConfig"
+ },
+ "DebugRuleConfigurations": {
+ "shape": "DebugRuleConfigurations",
+ "documentation": "Configuration information for debugging rules.
"
+ },
+ "TensorBoardOutputConfig": {
+ "shape": "TensorBoardOutputConfig"
+ },
+ "DebugRuleEvaluationStatuses": {
+ "shape": "DebugRuleEvaluationStatuses",
+ "documentation": "Status about the debug rule evaluation.
"
+ }
+ }
+ },
+ "DescribeTransformJobRequest": {
+ "type": "structure",
+ "required": [
+ "TransformJobName"
+ ],
+ "members": {
+ "TransformJobName": {
+ "shape": "TransformJobName",
+ "documentation": "The name of the transform job that you want to view details of.
"
+ }
+ }
+ },
+ "DescribeTransformJobResponse": {
+ "type": "structure",
+ "required": [
+ "TransformJobName",
+ "TransformJobArn",
+ "TransformJobStatus",
+ "ModelName",
+ "TransformInput",
+ "TransformResources",
+ "CreationTime"
+ ],
+ "members": {
+ "TransformJobName": {
+ "shape": "TransformJobName",
+ "documentation": "The name of the transform job.
"
+ },
+ "TransformJobArn": {
+ "shape": "TransformJobArn",
+ "documentation": "The Amazon Resource Name (ARN) of the transform job.
"
+ },
+ "TransformJobStatus": {
+ "shape": "TransformJobStatus",
+ "documentation": "The status of the transform job. If the transform job failed, the reason is returned in the FailureReason
field.
"
+ },
+ "FailureReason": {
+ "shape": "FailureReason",
+ "documentation": "If the transform job failed, FailureReason
describes why it failed. A transform job creates a log file, which includes error messages, and stores it as an Amazon S3 object. For more information, see Log Amazon SageMaker Events with Amazon CloudWatch.
"
+ },
+ "ModelName": {
+ "shape": "ModelName",
+ "documentation": "The name of the model used in the transform job.
"
+ },
+ "MaxConcurrentTransforms": {
+ "shape": "MaxConcurrentTransforms",
+ "documentation": "The maximum number of parallel requests on each instance node that can be launched in a transform job. The default value is 1.
"
+ },
+ "MaxPayloadInMB": {
+ "shape": "MaxPayloadInMB",
+ "documentation": "The maximum payload size, in MB, used in the transform job.
"
+ },
+ "BatchStrategy": {
+ "shape": "BatchStrategy",
+ "documentation": "Specifies the number of records to include in a mini-batch for an HTTP inference request. A record is a single unit of input data that inference can be made on. For example, a single line in a CSV file is a record.
To enable the batch strategy, you must set SplitType
to Line
, RecordIO
, or TFRecord
.
"
+ },
+ "Environment": {
+ "shape": "TransformEnvironmentMap",
+ "documentation": "The environment variables to set in the Docker container. We support up to 16 key and values entries in the map.
"
+ },
+ "TransformInput": {
+ "shape": "TransformInput",
+ "documentation": "Describes the dataset to be transformed and the Amazon S3 location where it is stored.
"
+ },
+ "TransformOutput": {
+ "shape": "TransformOutput",
+ "documentation": "Identifies the Amazon S3 location where you want Amazon SageMaker to save the results from the transform job.
"
+ },
+ "TransformResources": {
+ "shape": "TransformResources",
+ "documentation": "Describes the resources, including ML instance types and ML instance count, to use for the transform job.
"
+ },
+ "CreationTime": {
+ "shape": "Timestamp",
+ "documentation": "A timestamp that shows when the transform Job was created.
"
+ },
+ "TransformStartTime": {
+ "shape": "Timestamp",
+ "documentation": "Indicates when the transform job starts on ML instances. You are billed for the time interval between this time and the value of TransformEndTime
.
"
+ },
+ "TransformEndTime": {
+ "shape": "Timestamp",
+ "documentation": "Indicates when the transform job has been completed, or has stopped or failed. You are billed for the time interval between this time and the value of TransformStartTime
.
"
+ },
+ "LabelingJobArn": {
+ "shape": "LabelingJobArn",
+ "documentation": "The Amazon Resource Name (ARN) of the Amazon SageMaker Ground Truth labeling job that created the transform or training job.
"
+ },
+ "AutoMLJobArn": {
+ "shape": "AutoMLJobArn",
+ "documentation": ""
+ },
+ "DataProcessing": {
+ "shape": "DataProcessing"
+ },
+ "ExperimentConfig": {
+ "shape": "ExperimentConfig"
+ }
+ }
+ },
+ "DescribeTrialComponentRequest": {
+ "type": "structure",
+ "required": [
+ "TrialComponentName"
+ ],
+ "members": {
+ "TrialComponentName": {
+ "shape": "ExperimentEntityName",
+ "documentation": "The name of the trial component to describe.
"
+ }
+ }
+ },
+ "DescribeTrialComponentResponse": {
+ "type": "structure",
+ "members": {
+ "TrialComponentName": {
+ "shape": "ExperimentEntityName",
+ "documentation": "The name of the trial component.
"
+ },
+ "TrialComponentArn": {
+ "shape": "TrialComponentArn",
+ "documentation": "The Amazon Resource Name (ARN) of the trial component.
"
+ },
+ "DisplayName": {
+ "shape": "ExperimentEntityName",
+ "documentation": "The name of the component as displayed. If DisplayName
isn't specified, TrialComponentName
is displayed.
"
+ },
+ "Source": {
+ "shape": "TrialComponentSource",
+ "documentation": "The Amazon Resource Name (ARN) of the source and, optionally, the job type.
"
+ },
+ "Status": {
+ "shape": "TrialComponentStatus",
+ "documentation": "The status of the component. States include:
-
InProgress
-
Completed
-
Failed
"
+ },
+ "StartTime": {
+ "shape": "Timestamp",
+ "documentation": "When the component started.
"
+ },
+ "EndTime": {
+ "shape": "Timestamp",
+ "documentation": "When the component ended.
"
+ },
+ "CreationTime": {
+ "shape": "Timestamp",
+ "documentation": "When the component was created.
"
+ },
+ "CreatedBy": {
+ "shape": "UserContext",
+ "documentation": "Who created the component.
"
+ },
+ "LastModifiedTime": {
+ "shape": "Timestamp",
+ "documentation": "When the component was last modified.
"
+ },
+ "LastModifiedBy": {
+ "shape": "UserContext",
+ "documentation": "Who last modified the component.
"
+ },
+ "Parameters": {
+ "shape": "TrialComponentParameters",
+ "documentation": "The hyperparameters of the component.
"
+ },
+ "InputArtifacts": {
+ "shape": "TrialComponentArtifacts",
+ "documentation": "The input artifacts of the component.
"
+ },
+ "OutputArtifacts": {
+ "shape": "TrialComponentArtifacts",
+ "documentation": "The output artifacts of the component.
"
+ },
+ "Metrics": {
+ "shape": "TrialComponentMetricSummaries",
+ "documentation": "The metrics for the component.
"
+ }
+ }
+ },
+ "DescribeTrialRequest": {
+ "type": "structure",
+ "required": [
+ "TrialName"
+ ],
+ "members": {
+ "TrialName": {
+ "shape": "ExperimentEntityName",
+ "documentation": "The name of the trial to describe.
"
+ }
+ }
+ },
+ "DescribeTrialResponse": {
+ "type": "structure",
+ "members": {
+ "TrialName": {
+ "shape": "ExperimentEntityName",
+ "documentation": "The name of the trial.
"
+ },
+ "TrialArn": {
+ "shape": "TrialArn",
+ "documentation": "The Amazon Resource Name (ARN) of the trial.
"
+ },
+ "DisplayName": {
+ "shape": "ExperimentEntityName",
+ "documentation": "The name of the trial as displayed. If DisplayName
isn't specified, TrialName
is displayed.
"
+ },
+ "ExperimentName": {
+ "shape": "ExperimentEntityName",
+ "documentation": "The name of the experiment the trial is part of.
"
+ },
+ "Source": {
+ "shape": "TrialSource",
+ "documentation": "The Amazon Resource Name (ARN) of the source and, optionally, the job type.
"
+ },
+ "CreationTime": {
+ "shape": "Timestamp",
+ "documentation": "When the trial was created.
"
+ },
+ "CreatedBy": {
+ "shape": "UserContext",
+ "documentation": "Who created the trial.
"
+ },
+ "LastModifiedTime": {
+ "shape": "Timestamp",
+ "documentation": "When the trial was last modified.
"
+ },
+ "LastModifiedBy": {
+ "shape": "UserContext",
+ "documentation": "Who last modified the trial.
"
+ }
+ }
+ },
+ "DescribeUserProfileRequest": {
+ "type": "structure",
+ "required": [
+ "DomainId",
+ "UserProfileName"
+ ],
+ "members": {
+ "DomainId": {
+ "shape": "DomainId",
+ "documentation": "The domain ID.
"
+ },
+ "UserProfileName": {
+ "shape": "UserProfileName",
+ "documentation": "The user profile name.
"
+ }
+ }
+ },
+ "DescribeUserProfileResponse": {
+ "type": "structure",
+ "members": {
+ "DomainId": {
+ "shape": "DomainId",
+ "documentation": "The domain ID.
"
+ },
+ "UserProfileArn": {
+ "shape": "UserProfileArn",
+ "documentation": "The user profile Amazon Resource Name (ARN).
"
+ },
+ "UserProfileName": {
+ "shape": "UserProfileName",
+ "documentation": "The user profile name.
"
+ },
+ "HomeEfsFileSystemUid": {
+ "shape": "EfsUid",
+ "documentation": "The homa Amazon Elastic File System (EFS) Uid.
"
+ },
+ "Status": {
+ "shape": "UserProfileStatus",
+ "documentation": "The status.
"
+ },
+ "LastModifiedTime": {
+ "shape": "LastModifiedTime",
+ "documentation": "The last modified time.
"
+ },
+ "CreationTime": {
+ "shape": "CreationTime",
+ "documentation": "The creation time.
"
+ },
+ "FailureReason": {
+ "shape": "FailureReason",
+ "documentation": "The failure reason.
"
+ },
+ "SingleSignOnUserIdentifier": {
+ "shape": "SingleSignOnUserIdentifier",
+ "documentation": "The SSO user identifier.
"
+ },
+ "SingleSignOnUserValue": {
+ "shape": "String256",
+ "documentation": "The SSO user value.
"
+ },
+ "UserSettings": {
+ "shape": "UserSettings",
+ "documentation": "A collection of settings.
"
+ }
+ }
+ },
+ "DescribeWorkteamRequest": {
+ "type": "structure",
+ "required": [
+ "WorkteamName"
+ ],
+ "members": {
+ "WorkteamName": {
+ "shape": "WorkteamName",
+ "documentation": "The name of the work team to return a description of.
"
+ }
+ }
+ },
+ "DescribeWorkteamResponse": {
+ "type": "structure",
+ "required": [
+ "Workteam"
+ ],
+ "members": {
+ "Workteam": {
+ "shape": "Workteam",
+ "documentation": "A Workteam
instance that contains information about the work team.
"
+ }
+ }
+ },
+ "DesiredWeightAndCapacity": {
+ "type": "structure",
+ "required": [
+ "VariantName"
+ ],
+ "members": {
+ "VariantName": {
+ "shape": "VariantName",
+ "documentation": "The name of the variant to update.
"
+ },
+ "DesiredWeight": {
+ "shape": "VariantWeight",
+ "documentation": "The variant's weight.
"
+ },
+ "DesiredInstanceCount": {
+ "shape": "TaskCount",
+ "documentation": "The variant's capacity.
"
+ }
+ },
+ "documentation": "Specifies weight and capacity values for a production variant.
"
+ },
+ "DesiredWeightAndCapacityList": {
+ "type": "list",
+ "member": {
+ "shape": "DesiredWeightAndCapacity"
+ },
+ "min": 1
+ },
+ "DestinationS3Uri": {
+ "type": "string",
+ "max": 512,
+ "pattern": "^(https|s3)://([^/])/?(.*)$"
+ },
+ "DetailedAlgorithmStatus": {
+ "type": "string",
+ "enum": [
+ "NotStarted",
+ "InProgress",
+ "Completed",
+ "Failed"
+ ]
+ },
+ "DetailedModelPackageStatus": {
+ "type": "string",
+ "enum": [
+ "NotStarted",
+ "InProgress",
+ "Completed",
+ "Failed"
+ ]
+ },
+ "DirectInternetAccess": {
+ "type": "string",
+ "enum": [
+ "Enabled",
+ "Disabled"
+ ]
+ },
+ "DirectoryPath": {
+ "type": "string",
+ "max": 4096,
+ "pattern": ".*"
+ },
+ "DisassociateAdditionalCodeRepositories": {
+ "type": "boolean"
+ },
+ "DisassociateDefaultCodeRepository": {
+ "type": "boolean"
+ },
+ "DisassociateNotebookInstanceAcceleratorTypes": {
+ "type": "boolean"
+ },
+ "DisassociateNotebookInstanceLifecycleConfig": {
+ "type": "boolean"
+ },
+ "DisassociateTrialComponentRequest": {
+ "type": "structure",
+ "required": [
+ "TrialComponentName",
+ "TrialName"
+ ],
+ "members": {
+ "TrialComponentName": {
+ "shape": "ExperimentEntityName",
+ "documentation": "The name of the component to disassociate from the trial.
"
+ },
+ "TrialName": {
+ "shape": "ExperimentEntityName",
+ "documentation": "The name of the trial to disassociate from.
"
+ }
+ }
+ },
+ "DisassociateTrialComponentResponse": {
+ "type": "structure",
+ "members": {
+ "TrialComponentArn": {
+ "shape": "TrialComponentArn",
+ "documentation": "The ARN of the trial component.
"
+ },
+ "TrialArn": {
+ "shape": "TrialArn",
+ "documentation": "The Amazon Resource Name (ARN) of the trial.
"
+ }
+ }
+ },
+ "Dollars": {
+ "type": "integer",
+ "max": 2,
+ "min": 0
+ },
+ "DomainArn": {
+ "type": "string",
+ "max": 256,
+ "pattern": "arn:aws[a-z\\-]*:sagemaker:[a-z0-9\\-]*:[0-9]{12}:domain/.*"
+ },
+ "DomainDetails": {
+ "type": "structure",
+ "members": {
+ "DomainArn": {
+ "shape": "DomainArn",
+ "documentation": "The domain's Amazon Resource Name (ARN).
"
+ },
+ "DomainId": {
+ "shape": "DomainId",
+ "documentation": "The domain ID.
"
+ },
+ "DomainName": {
+ "shape": "DomainName",
+ "documentation": "The domain name.
"
+ },
+ "Status": {
+ "shape": "DomainStatus",
+ "documentation": "The status.
"
+ },
+ "CreationTime": {
+ "shape": "CreationTime",
+ "documentation": "The creation time.
"
+ },
+ "LastModifiedTime": {
+ "shape": "LastModifiedTime",
+ "documentation": "The last modified time.
"
+ },
+ "Url": {
+ "shape": "String1024",
+ "documentation": "The domain's URL.
"
+ }
+ },
+ "documentation": "The domain's details.
"
+ },
+ "DomainId": {
+ "type": "string",
+ "max": 63
+ },
+ "DomainList": {
+ "type": "list",
+ "member": {
+ "shape": "DomainDetails"
+ }
+ },
+ "DomainName": {
+ "type": "string",
+ "max": 63,
+ "pattern": "^[a-zA-Z0-9](-*[a-zA-Z0-9])*"
+ },
+ "DomainStatus": {
+ "type": "string",
+ "enum": [
+ "Deleting",
+ "Failed",
+ "InService",
+ "Pending"
+ ]
+ },
+ "DoubleParameterValue": {
+ "type": "double"
+ },
+ "EfsUid": {
+ "type": "string",
+ "max": 10,
+ "pattern": "\\d+"
+ },
+ "EnableCapture": {
+ "type": "boolean"
+ },
+ "EndpointArn": {
+ "type": "string",
+ "max": 2048,
+ "min": 20,
+ "pattern": "arn:aws[a-z\\-]*:sagemaker:[a-z0-9\\-]*:[0-9]{12}:endpoint/.*"
+ },
+ "EndpointConfigArn": {
+ "type": "string",
+ "max": 2048,
+ "min": 20,
+ "pattern": "arn:aws[a-z\\-]*:sagemaker:[a-z0-9\\-]*:[0-9]{12}:endpoint-config/.*"
+ },
+ "EndpointConfigName": {
+ "type": "string",
+ "max": 63,
+ "pattern": "^[a-zA-Z0-9](-*[a-zA-Z0-9])*"
+ },
+ "EndpointConfigNameContains": {
+ "type": "string",
+ "max": 63,
+ "pattern": "[a-zA-Z0-9-]+"
+ },
+ "EndpointConfigSortKey": {
+ "type": "string",
+ "enum": [
+ "Name",
+ "CreationTime"
+ ]
+ },
+ "EndpointConfigSummary": {
+ "type": "structure",
+ "required": [
+ "EndpointConfigName",
+ "EndpointConfigArn",
+ "CreationTime"
+ ],
+ "members": {
+ "EndpointConfigName": {
+ "shape": "EndpointConfigName",
+ "documentation": "The name of the endpoint configuration.
"
+ },
+ "EndpointConfigArn": {
+ "shape": "EndpointConfigArn",
+ "documentation": "The Amazon Resource Name (ARN) of the endpoint configuration.
"
+ },
+ "CreationTime": {
+ "shape": "Timestamp",
+ "documentation": "A timestamp that shows when the endpoint configuration was created.
"
+ }
+ },
+ "documentation": "Provides summary information for an endpoint configuration.
"
+ },
+ "EndpointConfigSummaryList": {
+ "type": "list",
+ "member": {
+ "shape": "EndpointConfigSummary"
+ }
+ },
+ "EndpointInput": {
+ "type": "structure",
+ "required": [
+ "EndpointName",
+ "LocalPath"
+ ],
+ "members": {
+ "EndpointName": {
+ "shape": "EndpointName",
+ "documentation": "An endpoint in customer's account which has enabled DataCaptureConfig
enabled.
"
+ },
+ "LocalPath": {
+ "shape": "ProcessingLocalPath",
+ "documentation": "Path to the filesystem where the endpoint data is available to the container.
"
+ },
+ "S3InputMode": {
+ "shape": "ProcessingS3InputMode",
+ "documentation": "Whether the Pipe
or File
is used as the input mode for transfering data for the monitoring job. Pipe
mode is recommended for large datasets. File
mode is useful for small files that fit in memory. Defaults to File
.
"
+ },
+ "S3DataDistributionType": {
+ "shape": "ProcessingS3DataDistributionType",
+ "documentation": "Whether input data distributed in Amazon S3 is fully replicated or sharded by an S3 key. Defauts to FullyReplicated
"
+ }
+ },
+ "documentation": "Input object for the endpoint
"
+ },
+ "EndpointName": {
+ "type": "string",
+ "max": 63,
+ "pattern": "^[a-zA-Z0-9](-*[a-zA-Z0-9])*"
+ },
+ "EndpointNameContains": {
+ "type": "string",
+ "max": 63,
+ "pattern": "[a-zA-Z0-9-]+"
+ },
+ "EndpointSortKey": {
+ "type": "string",
+ "enum": [
+ "Name",
+ "CreationTime",
+ "Status"
+ ]
+ },
+ "EndpointStatus": {
+ "type": "string",
+ "enum": [
+ "OutOfService",
+ "Creating",
+ "Updating",
+ "SystemUpdating",
+ "RollingBack",
+ "InService",
+ "Deleting",
+ "Failed"
+ ]
+ },
+ "EndpointSummary": {
+ "type": "structure",
+ "required": [
+ "EndpointName",
+ "EndpointArn",
+ "CreationTime",
+ "LastModifiedTime",
+ "EndpointStatus"
+ ],
+ "members": {
+ "EndpointName": {
+ "shape": "EndpointName",
+ "documentation": "The name of the endpoint.
"
+ },
+ "EndpointArn": {
+ "shape": "EndpointArn",
+ "documentation": "The Amazon Resource Name (ARN) of the endpoint.
"
+ },
+ "CreationTime": {
+ "shape": "Timestamp",
+ "documentation": "A timestamp that shows when the endpoint was created.
"
+ },
+ "LastModifiedTime": {
+ "shape": "Timestamp",
+ "documentation": "A timestamp that shows when the endpoint was last modified.
"
+ },
+ "EndpointStatus": {
+ "shape": "EndpointStatus",
+ "documentation": "The status of the endpoint.
-
OutOfService
: Endpoint is not available to take incoming requests.
-
Creating
: CreateEndpoint is executing.
-
Updating
: UpdateEndpoint or UpdateEndpointWeightsAndCapacities is executing.
-
SystemUpdating
: Endpoint is undergoing maintenance and cannot be updated or deleted or re-scaled until it has completed. This maintenance operation does not change any customer-specified values such as VPC config, KMS encryption, model, instance type, or instance count.
-
RollingBack
: Endpoint fails to scale up or down or change its variant weight and is in the process of rolling back to its previous configuration. Once the rollback completes, endpoint returns to an InService
status. This transitional status only applies to an endpoint that has autoscaling enabled and is undergoing variant weight or capacity changes as part of an UpdateEndpointWeightsAndCapacities call or when the UpdateEndpointWeightsAndCapacities operation is called explicitly.
-
InService
: Endpoint is available to process incoming requests.
-
Deleting
: DeleteEndpoint is executing.
-
Failed
: Endpoint could not be created, updated, or re-scaled. Use DescribeEndpointOutput$FailureReason for information about the failure. DeleteEndpoint is the only operation that can be performed on a failed endpoint.
To get a list of endpoints with a specified status, use the ListEndpointsInput$StatusEquals filter.
"
+ }
+ },
+ "documentation": "Provides summary information for an endpoint.
"
+ },
+ "EndpointSummaryList": {
+ "type": "list",
+ "member": {
+ "shape": "EndpointSummary"
+ }
+ },
+ "EntityDescription": {
+ "type": "string",
+ "max": 1024,
+ "pattern": "[\\p{L}\\p{M}\\p{Z}\\p{S}\\p{N}\\p{P}]*"
+ },
+ "EntityName": {
+ "type": "string",
+ "max": 63,
+ "min": 1,
+ "pattern": "^[a-zA-Z0-9](-*[a-zA-Z0-9])*$"
+ },
+ "EnvironmentArn": {
+ "type": "string",
+ "max": 256,
+ "pattern": "^arn:aws(-[\\w]+)*:sagemaker:.+:[0-9]{12}:environment/[a-z0-9](-*[a-z0-9]){0,62}$"
+ },
+ "EnvironmentKey": {
+ "type": "string",
+ "max": 1024,
+ "pattern": "[a-zA-Z_][a-zA-Z0-9_]*"
+ },
+ "EnvironmentMap": {
+ "type": "map",
+ "key": {
+ "shape": "EnvironmentKey"
+ },
+ "value": {
+ "shape": "EnvironmentValue"
+ },
+ "max": 16
+ },
+ "EnvironmentValue": {
+ "type": "string",
+ "max": 1024,
+ "pattern": "[\\S\\s]*"
+ },
+ "ExecutionStatus": {
+ "type": "string",
+ "enum": [
+ "Pending",
+ "Completed",
+ "CompletedWithViolations",
"InProgress",
+ "Failed",
+ "Stopping",
+ "Stopped"
+ ]
+ },
+ "ExitMessage": {
+ "type": "string",
+ "max": 1024,
+ "pattern": "[\\S\\s]*"
+ },
+ "Experiment": {
+ "type": "structure",
+ "members": {
+ "ExperimentName": {
+ "shape": "ExperimentEntityName",
+ "documentation": "The name of the experiment.
"
+ },
+ "ExperimentArn": {
+ "shape": "ExperimentArn",
+ "documentation": "The Amazon Resource Name (ARN) of the experiment.
"
+ },
+ "DisplayName": {
+ "shape": "ExperimentEntityName",
+ "documentation": "The name of the experiment as displayed. If DisplayName
isn't specified, ExperimentName
is displayed.
"
+ },
+ "Source": {
+ "shape": "ExperimentSource"
+ },
+ "Description": {
+ "shape": "ExperimentDescription",
+ "documentation": "The description of the experiment.
"
+ },
+ "CreationTime": {
+ "shape": "Timestamp",
+ "documentation": "When the experiment was created.
"
+ },
+ "CreatedBy": {
+ "shape": "UserContext"
+ },
+ "LastModifiedTime": {
+ "shape": "Timestamp",
+ "documentation": "When the experiment was last modified.
"
+ },
+ "LastModifiedBy": {
+ "shape": "UserContext"
+ },
+ "Tags": {
+ "shape": "TagList",
+ "documentation": "The list of tags that are associated with the experiment. You can use Search API to search on the tags.
"
+ }
+ },
+ "documentation": "A summary of the properties of an experiment as returned by the Search API.
"
+ },
+ "ExperimentArn": {
+ "type": "string",
+ "max": 256,
+ "pattern": "arn:aws[a-z\\-]*:sagemaker:[a-z0-9\\-]*:[0-9]{12}:experiment/.*"
+ },
+ "ExperimentConfig": {
+ "type": "structure",
+ "members": {
+ "ExperimentName": {
+ "shape": "ExperimentConfigName",
+ "documentation": "The name of the experiment.
"
+ },
+ "TrialName": {
+ "shape": "ExperimentConfigName",
+ "documentation": "The name of the trial.
"
+ },
+ "TrialComponentDisplayName": {
+ "shape": "ExperimentConfigName",
+ "documentation": "Display name for the trial component.
"
+ }
+ },
+ "documentation": "Configuration for the experiment.
"
+ },
+ "ExperimentConfigName": {
+ "type": "string",
+ "max": 64,
+ "min": 1,
+ "pattern": "^[a-zA-Z0-9](-*[a-zA-Z0-9])*"
+ },
+ "ExperimentDescription": {
+ "type": "string",
+ "max": 3072,
+ "pattern": ".*"
+ },
+ "ExperimentEntityName": {
+ "type": "string",
+ "max": 82,
+ "min": 1,
+ "pattern": "^[a-zA-Z0-9](-*[a-zA-Z0-9])*"
+ },
+ "ExperimentSource": {
+ "type": "structure",
+ "required": [
+ "SourceArn"
+ ],
+ "members": {
+ "SourceArn": {
+ "shape": "ExperimentSourceArn",
+ "documentation": "The Amazon Resource Name (ARN) of the source.
"
+ },
+ "SourceType": {
+ "shape": "SourceType",
+ "documentation": "The source type.
"
+ }
+ },
+ "documentation": "The source of the experiment.
"
+ },
+ "ExperimentSourceArn": {
+ "type": "string",
+ "max": 256,
+ "pattern": "arn:aws[a-z\\-]*:sagemaker:[a-z0-9\\-]*:[0-9]{12}:.*"
+ },
+ "ExperimentSummaries": {
+ "type": "list",
+ "member": {
+ "shape": "ExperimentSummary"
+ }
+ },
+ "ExperimentSummary": {
+ "type": "structure",
+ "members": {
+ "ExperimentArn": {
+ "shape": "ExperimentArn",
+ "documentation": "The Amazon Resource Name (ARN) of the experiment.
"
+ },
+ "ExperimentName": {
+ "shape": "ExperimentEntityName",
+ "documentation": "The name of the experiment.
"
+ },
+ "DisplayName": {
+ "shape": "ExperimentEntityName",
+ "documentation": "The name of the experiment as displayed. If DisplayName
isn't specified, ExperimentName
is displayed.
"
+ },
+ "ExperimentSource": {
+ "shape": "ExperimentSource"
+ },
+ "CreationTime": {
+ "shape": "Timestamp",
+ "documentation": "When the experiment was created.
"
+ },
+ "LastModifiedTime": {
+ "shape": "Timestamp",
+ "documentation": "When the experiment was last modified.
"
+ }
+ },
+ "documentation": "A summary of the properties of an experiment. To get the complete set of properties, call the DescribeExperiment API and provide the ExperimentName
.
"
+ },
+ "FailureReason": {
+ "type": "string",
+ "max": 1024
+ },
+ "FileSystemAccessMode": {
+ "type": "string",
+ "enum": [
+ "rw",
+ "ro"
+ ]
+ },
+ "FileSystemDataSource": {
+ "type": "structure",
+ "required": [
+ "FileSystemId",
+ "FileSystemAccessMode",
+ "FileSystemType",
+ "DirectoryPath"
+ ],
+ "members": {
+ "FileSystemId": {
+ "shape": "FileSystemId",
+ "documentation": "The file system id.
"
+ },
+ "FileSystemAccessMode": {
+ "shape": "FileSystemAccessMode",
+ "documentation": "The access mode of the mount of the directory associated with the channel. A directory can be mounted either in ro
(read-only) or rw
(read-write) mode.
"
+ },
+ "FileSystemType": {
+ "shape": "FileSystemType",
+ "documentation": "The file system type.
"
+ },
+ "DirectoryPath": {
+ "shape": "DirectoryPath",
+ "documentation": "The full path to the directory to associate with the channel.
"
+ }
+ },
+ "documentation": "Specifies a file system data source for a channel.
"
+ },
+ "FileSystemId": {
+ "type": "string",
+ "min": 11,
+ "pattern": ".*"
+ },
+ "FileSystemType": {
+ "type": "string",
+ "enum": [
+ "EFS",
+ "FSxLustre"
+ ]
+ },
+ "Filter": {
+ "type": "structure",
+ "required": [
+ "Name"
+ ],
+ "members": {
+ "Name": {
+ "shape": "ResourcePropertyName",
+ "documentation": "A property name. For example, TrainingJobName
. For the list of valid property names returned in a search result for each supported resource, see TrainingJob properties. You must specify a valid property name for the resource.
"
+ },
+ "Operator": {
+ "shape": "Operator",
+ "documentation": "A Boolean binary operator that is used to evaluate the filter. The operator field contains one of the following values:
- Equals
-
The specified resource in Name
equals the specified Value
.
- NotEquals
-
The specified resource in Name
does not equal the specified Value
.
- GreaterThan
-
The specified resource in Name
is greater than the specified Value
. Not supported for text-based properties.
- GreaterThanOrEqualTo
-
The specified resource in Name
is greater than or equal to the specified Value
. Not supported for text-based properties.
- LessThan
-
The specified resource in Name
is less than the specified Value
. Not supported for text-based properties.
- LessThanOrEqualTo
-
The specified resource in Name
is less than or equal to the specified Value
. Not supported for text-based properties.
- Contains
-
Only supported for text-based properties. The word-list of the property contains the specified Value
. A SearchExpression
can include only one Contains
operator.
If you have specified a filter Value
, the default is Equals
.
"
+ },
+ "Value": {
+ "shape": "FilterValue",
+ "documentation": "A value used with Resource
and Operator
to determine if objects satisfy the filter's condition. For numerical properties, Value
must be an integer or floating-point decimal. For timestamp properties, Value
must be an ISO 8601 date-time string of the following format: YYYY-mm-dd'T'HH:MM:SS
.
"
+ }
+ },
+ "documentation": "A conditional statement for a search expression that includes a resource property, a Boolean operator, and a value.
If you don't specify an Operator
and a Value
, the filter searches for only the specified property. For example, defining a Filter
for the FailureReason
for the TrainingJob
Resource
searches for training job objects that have a value in the FailureReason
field.
If you specify a Value
, but not an Operator
, Amazon SageMaker uses the equals operator as the default.
In search, there are several property types:
- Metrics
-
To define a metric filter, enter a value using the form \"Metrics.<name>\"
, where <name>
is a metric name. For example, the following filter searches for training jobs with an \"accuracy\"
metric greater than \"0.9\"
:
{
\"Name\": \"Metrics.accuracy\",
\"Operator\": \"GREATER_THAN\",
\"Value\": \"0.9\"
}
- HyperParameters
-
To define a hyperparameter filter, enter a value with the form \"HyperParameters.<name>\"
. Decimal hyperparameter values are treated as a decimal in a comparison if the specified Value
is also a decimal value. If the specified Value
is an integer, the decimal hyperparameter values are treated as integers. For example, the following filter is satisfied by training jobs with a \"learning_rate\"
hyperparameter that is less than \"0.5\"
:
{
\"Name\": \"HyperParameters.learning_rate\",
\"Operator\": \"LESS_THAN\",
\"Value\": \"0.5\"
}
- Tags
-
To define a tag filter, enter a value with the form \"Tags.<key>\"
.
"
+ },
+ "FilterList": {
+ "type": "list",
+ "member": {
+ "shape": "Filter"
+ },
+ "max": 20,
+ "min": 1
+ },
+ "FilterValue": {
+ "type": "string",
+ "max": 1024,
+ "min": 1,
+ "pattern": ".+"
+ },
+ "FinalAutoMLJobObjectiveMetric": {
+ "type": "structure",
+ "required": [
+ "MetricName",
+ "Value"
+ ],
+ "members": {
+ "Type": {
+ "shape": "AutoMLJobObjectiveType",
+ "documentation": "The metric type used.
"
+ },
+ "MetricName": {
+ "shape": "AutoMLMetricEnum",
+ "documentation": "The name of the metric.
"
+ },
+ "Value": {
+ "shape": "MetricValue",
+ "documentation": "The value of the metric.
"
+ }
+ },
+ "documentation": "The candidate result from a job.
"
+ },
+ "FinalHyperParameterTuningJobObjectiveMetric": {
+ "type": "structure",
+ "required": [
+ "MetricName",
+ "Value"
+ ],
+ "members": {
+ "Type": {
+ "shape": "HyperParameterTuningJobObjectiveType",
+ "documentation": "Whether to minimize or maximize the objective metric. Valid values are Minimize and Maximize.
"
+ },
+ "MetricName": {
+ "shape": "MetricName",
+ "documentation": "The name of the objective metric.
"
+ },
+ "Value": {
+ "shape": "MetricValue",
+ "documentation": "The value of the objective metric.
"
+ }
+ },
+ "documentation": "Shows the final value for the objective metric for a training job that was launched by a hyperparameter tuning job. You define the objective metric in the HyperParameterTuningJobObjective
parameter of HyperParameterTuningJobConfig.
"
+ },
+ "FinalMetricDataList": {
+ "type": "list",
+ "member": {
+ "shape": "MetricData"
+ },
+ "max": 40,
+ "min": 0
+ },
+ "Float": {
+ "type": "float"
+ },
+ "FlowDefinitionArn": {
+ "type": "string",
+ "max": 1024,
+ "pattern": "arn:aws[a-z\\-]*:sagemaker:[a-z0-9\\-]*:[0-9]{12}:flow-definition/.*"
+ },
+ "FlowDefinitionName": {
+ "type": "string",
+ "max": 63,
+ "min": 1,
+ "pattern": "^[a-z0-9](-*[a-z0-9])*"
+ },
+ "FlowDefinitionOutputConfig": {
+ "type": "structure",
+ "required": [
+ "S3OutputPath"
+ ],
+ "members": {
+ "S3OutputPath": {
+ "shape": "S3Uri",
+ "documentation": "The Amazon S3 path where the object containing human output will be made available.
"
+ },
+ "KmsKeyId": {
+ "shape": "KmsKeyId",
+ "documentation": "The Amazon Key Management Service (KMS) key ID for server-side encryption.
"
+ }
+ },
+ "documentation": "Contains information about where human output will be stored.
"
+ },
+ "FlowDefinitionStatus": {
+ "type": "string",
+ "enum": [
+ "Initializing",
+ "Active",
+ "Failed",
+ "Deleting",
+ "Deleted"
+ ]
+ },
+ "FlowDefinitionSummaries": {
+ "type": "list",
+ "member": {
+ "shape": "FlowDefinitionSummary"
+ }
+ },
+ "FlowDefinitionSummary": {
+ "type": "structure",
+ "required": [
+ "FlowDefinitionName",
+ "FlowDefinitionArn",
+ "FlowDefinitionStatus",
+ "CreationTime"
+ ],
+ "members": {
+ "FlowDefinitionName": {
+ "shape": "FlowDefinitionName",
+ "documentation": "The name of the flow definition.
"
+ },
+ "FlowDefinitionArn": {
+ "shape": "FlowDefinitionArn",
+ "documentation": "The Amazon Resource Name (ARN) of the flow definition.
"
+ },
+ "FlowDefinitionStatus": {
+ "shape": "FlowDefinitionStatus",
+ "documentation": "The status of the flow definition. Valid values:
"
+ },
+ "CreationTime": {
+ "shape": "Timestamp",
+ "documentation": "The timestamp when SageMaker created the flow definition.
"
+ },
+ "FailureReason": {
+ "shape": "FailureReason",
+ "documentation": "The reason why the flow definition creation failed. A failure reason is returned only when the flow definition status is Failed
.
"
+ }
+ },
+ "documentation": "Contains summary information about the flow definition.
"
+ },
+ "FlowDefinitionTaskAvailabilityLifetimeInSeconds": {
+ "type": "integer",
+ "max": 864000,
+ "min": 1
+ },
+ "FlowDefinitionTaskCount": {
+ "type": "integer",
+ "max": 3,
+ "min": 1
+ },
+ "FlowDefinitionTaskDescription": {
+ "type": "string",
+ "max": 255,
+ "min": 1,
+ "pattern": ".+"
+ },
+ "FlowDefinitionTaskKeyword": {
+ "type": "string",
+ "max": 30,
+ "min": 1,
+ "pattern": "^[A-Za-z0-9]+( [A-Za-z0-9]+)*$"
+ },
+ "FlowDefinitionTaskKeywords": {
+ "type": "list",
+ "member": {
+ "shape": "FlowDefinitionTaskKeyword"
+ },
+ "max": 5,
+ "min": 1
+ },
+ "FlowDefinitionTaskTimeLimitInSeconds": {
+ "type": "integer",
+ "max": 28800,
+ "min": 30
+ },
+ "FlowDefinitionTaskTitle": {
+ "type": "string",
+ "max": 128,
+ "min": 1,
+ "pattern": "^[\\t\\n\\r -\\uD7FF\\uE000-\\uFFFD]*$"
+ },
+ "Framework": {
+ "type": "string",
+ "enum": [
+ "TENSORFLOW",
+ "MXNET",
+ "ONNX",
+ "PYTORCH",
+ "XGBOOST"
+ ]
+ },
+ "GenerateCandidateDefinitionsOnly": {
+ "type": "boolean"
+ },
+ "GetSearchSuggestionsRequest": {
+ "type": "structure",
+ "required": [
+ "Resource"
+ ],
+ "members": {
+ "Resource": {
+ "shape": "ResourceType",
+ "documentation": "The name of the Amazon SageMaker resource to Search for. The only valid Resource
value is TrainingJob
.
"
+ },
+ "SuggestionQuery": {
+ "shape": "SuggestionQuery",
+ "documentation": "Limits the property names that are included in the response.
"
+ }
+ }
+ },
+ "GetSearchSuggestionsResponse": {
+ "type": "structure",
+ "members": {
+ "PropertyNameSuggestions": {
+ "shape": "PropertyNameSuggestionList",
+ "documentation": "A list of property names for a Resource
that match a SuggestionQuery
.
"
+ }
+ }
+ },
+ "GitConfig": {
+ "type": "structure",
+ "required": [
+ "RepositoryUrl"
+ ],
+ "members": {
+ "RepositoryUrl": {
+ "shape": "GitConfigUrl",
+ "documentation": "The URL where the Git repository is located.
"
+ },
+ "Branch": {
+ "shape": "Branch",
+ "documentation": "The default branch for the Git repository.
"
+ },
+ "SecretArn": {
+ "shape": "SecretArn",
+ "documentation": "The Amazon Resource Name (ARN) of the AWS Secrets Manager secret that contains the credentials used to access the git repository. The secret must have a staging label of AWSCURRENT
and must be in the following format:
{\"username\": UserName, \"password\": Password}
"
+ }
+ },
+ "documentation": "Specifies configuration details for a Git repository in your AWS account.
"
+ },
+ "GitConfigForUpdate": {
+ "type": "structure",
+ "members": {
+ "SecretArn": {
+ "shape": "SecretArn",
+ "documentation": "The Amazon Resource Name (ARN) of the AWS Secrets Manager secret that contains the credentials used to access the git repository. The secret must have a staging label of AWSCURRENT
and must be in the following format:
{\"username\": UserName, \"password\": Password}
"
+ }
+ },
+ "documentation": "Specifies configuration details for a Git repository when the repository is updated.
"
+ },
+ "GitConfigUrl": {
+ "type": "string",
+ "pattern": "^https://([^/]+)/?(.*)$"
+ },
+ "HookParameters": {
+ "type": "map",
+ "key": {
+ "shape": "ConfigKey"
+ },
+ "value": {
+ "shape": "ConfigValue"
+ },
+ "max": 20,
+ "min": 0
+ },
+ "HumanLoopActivationConditions": {
+ "type": "string",
+ "max": 10240
+ },
+ "HumanLoopActivationConditionsConfig": {
+ "type": "structure",
+ "required": [
+ "HumanLoopActivationConditions"
+ ],
+ "members": {
+ "HumanLoopActivationConditions": {
+ "shape": "HumanLoopActivationConditions",
+ "documentation": "JSON expressing use-case specific conditions declaratively. If any condition is matched, atomic tasks are created against the configured work team. The set of conditions is different for Rekognition and Textract.
",
+ "jsonvalue": true
+ }
+ },
+ "documentation": "Defines under what conditions SageMaker creates a human loop.
"
+ },
+ "HumanLoopActivationConfig": {
+ "type": "structure",
+ "required": [
+ "HumanLoopRequestSource",
+ "HumanLoopActivationConditionsConfig"
+ ],
+ "members": {
+ "HumanLoopRequestSource": {
+ "shape": "HumanLoopRequestSource",
+ "documentation": "Container for configuring the source of human task requests.
"
+ },
+ "HumanLoopActivationConditionsConfig": {
+ "shape": "HumanLoopActivationConditionsConfig",
+ "documentation": "Container structure for defining under what conditions SageMaker creates a human loop.
"
+ }
+ },
+ "documentation": "Provides information about how and under what conditions SageMaker creates a human loop. If HumanLoopActivationConfig
is not given, then all requests go to humans.
"
+ },
+ "HumanLoopConfig": {
+ "type": "structure",
+ "required": [
+ "WorkteamArn",
+ "HumanTaskUiArn",
+ "TaskTitle",
+ "TaskDescription",
+ "TaskCount"
+ ],
+ "members": {
+ "WorkteamArn": {
+ "shape": "WorkteamArn",
+ "documentation": "Amazon Resource Name (ARN) of a team of workers.
"
+ },
+ "HumanTaskUiArn": {
+ "shape": "HumanTaskUiArn",
+ "documentation": "The Amazon Resource Name (ARN) of the human task user interface.
"
+ },
+ "TaskTitle": {
+ "shape": "FlowDefinitionTaskTitle",
+ "documentation": "A title for the human worker task.
"
+ },
+ "TaskDescription": {
+ "shape": "FlowDefinitionTaskDescription",
+ "documentation": "A description for the human worker task.
"
+ },
+ "TaskCount": {
+ "shape": "FlowDefinitionTaskCount",
+ "documentation": "The number of human tasks.
"
+ },
+ "TaskAvailabilityLifetimeInSeconds": {
+ "shape": "FlowDefinitionTaskAvailabilityLifetimeInSeconds",
+ "documentation": "The length of time that a task remains available for labeling by human workers.
"
+ },
+ "TaskTimeLimitInSeconds": {
+ "shape": "FlowDefinitionTaskTimeLimitInSeconds",
+ "documentation": "The amount of time that a worker has to complete a task.
"
+ },
+ "TaskKeywords": {
+ "shape": "FlowDefinitionTaskKeywords",
+ "documentation": "Keywords used to describe the task so that workers can discover the task.
"
+ },
+ "PublicWorkforceTaskPrice": {
+ "shape": "PublicWorkforceTaskPrice"
+ }
+ },
+ "documentation": "Describes the work to be performed by human workers.
"
+ },
+ "HumanLoopRequestSource": {
+ "type": "structure",
+ "required": [
+ "AwsManagedHumanLoopRequestSource"
+ ],
+ "members": {
+ "AwsManagedHumanLoopRequestSource": {
+ "shape": "AwsManagedHumanLoopRequestSource",
+ "documentation": "Specifies whether Amazon Rekognition or Amazon Textract are used as the integration source. The default field settings and JSON parsing rules are different based on the integration source. Valid values:
"
+ }
+ },
+ "documentation": "Container for configuring the source of human task requests.
"
+ },
+ "HumanTaskConfig": {
+ "type": "structure",
+ "required": [
+ "WorkteamArn",
+ "UiConfig",
+ "PreHumanTaskLambdaArn",
+ "TaskTitle",
+ "TaskDescription",
+ "NumberOfHumanWorkersPerDataObject",
+ "TaskTimeLimitInSeconds",
+ "AnnotationConsolidationConfig"
+ ],
+ "members": {
+ "WorkteamArn": {
+ "shape": "WorkteamArn",
+ "documentation": "The Amazon Resource Name (ARN) of the work team assigned to complete the tasks.
"
+ },
+ "UiConfig": {
+ "shape": "UiConfig",
+ "documentation": "Information about the user interface that workers use to complete the labeling task.
"
+ },
+ "PreHumanTaskLambdaArn": {
+ "shape": "LambdaFunctionArn",
+ "documentation": "The Amazon Resource Name (ARN) of a Lambda function that is run before a data object is sent to a human worker. Use this function to provide input to a custom labeling job.
For the built-in bounding box, image classification, semantic segmentation, and text classification task types, Amazon SageMaker Ground Truth provides the following Lambda functions:
US East (Northern Virginia) (us-east-1):
-
arn:aws:lambda:us-east-1:432418664414:function:PRE-BoundingBox
-
arn:aws:lambda:us-east-1:432418664414:function:PRE-ImageMultiClass
-
arn:aws:lambda:us-east-1:432418664414:function:PRE-SemanticSegmentation
-
arn:aws:lambda:us-east-1:432418664414:function:PRE-TextMultiClass
-
arn:aws:lambda:us-east-1:432418664414:function:PRE-NamedEntityRecognition
-
arn:aws:lambda:us-east-1:432418664414:function:PRE-VerificationBoundingBox
-
arn:aws:lambda:us-east-1:432418664414:function:PRE-VerificationSemanticSegmentation
-
arn:aws:lambda:us-east-1:432418664414:function:PRE-AdjustmentBoundingBox
-
arn:aws:lambda:us-east-1:432418664414:function:PRE-AdjustmentSemanticSegmentation
US East (Ohio) (us-east-2):
-
arn:aws:lambda:us-east-2:266458841044:function:PRE-BoundingBox
-
arn:aws:lambda:us-east-2:266458841044:function:PRE-ImageMultiClass
-
arn:aws:lambda:us-east-2:266458841044:function:PRE-SemanticSegmentation
-
arn:aws:lambda:us-east-2:266458841044:function:PRE-TextMultiClass
-
arn:aws:lambda:us-east-2:266458841044:function:PRE-NamedEntityRecognition
-
arn:aws:lambda:us-east-2:266458841044:function:PRE-VerificationBoundingBox
-
arn:aws:lambda:us-east-2:266458841044:function:PRE-VerificationSemanticSegmentation
-
arn:aws:lambda:us-east-2:266458841044:function:PRE-AdjustmentBoundingBox
-
arn:aws:lambda:us-east-2:266458841044:function:PRE-AdjustmentSemanticSegmentation
US West (Oregon) (us-west-2):
-
arn:aws:lambda:us-west-2:081040173940:function:PRE-BoundingBox
-
arn:aws:lambda:us-west-2:081040173940:function:PRE-ImageMultiClass
-
arn:aws:lambda:us-west-2:081040173940:function:PRE-SemanticSegmentation
-
arn:aws:lambda:us-west-2:081040173940:function:PRE-TextMultiClass
-
arn:aws:lambda:us-west-2:081040173940:function:PRE-NamedEntityRecognition
-
arn:aws:lambda:us-west-2:081040173940:function:PRE-VerificationBoundingBox
-
arn:aws:lambda:us-west-2:081040173940:function:PRE-VerificationSemanticSegmentation
-
arn:aws:lambda:us-west-2:081040173940:function:PRE-AdjustmentBoundingBox
-
arn:aws:lambda:us-west-2:081040173940:function:PRE-AdjustmentSemanticSegmentation
Canada (Central) (ca-central-1):
-
arn:aws:lambda:ca-central-1:918755190332:function:PRE-BoundingBox
-
arn:aws:lambda:ca-central-1:918755190332:function:PRE-ImageMultiClass
-
arn:aws:lambda:ca-central-1:918755190332:function:PRE-SemanticSegmentation
-
arn:aws:lambda:ca-central-1:918755190332:function:PRE-TextMultiClass
-
arn:aws:lambda:ca-central-1:918755190332:function:PRE-NamedEntityRecognition
-
arn:aws:lambda:ca-central-1:918755190332:function:PRE-VerificationBoundingBox
-
arn:aws:lambda:ca-central-1:918755190332:function:PRE-VerificationSemanticSegmentation
-
arn:aws:lambda:ca-central-1:918755190332:function:PRE-AdjustmentBoundingBox
-
arn:aws:lambda:ca-central-1:918755190332:function:PRE-AdjustmentSemanticSegmentation
EU (Ireland) (eu-west-1):
-
arn:aws:lambda:eu-west-1:568282634449:function:PRE-BoundingBox
-
arn:aws:lambda:eu-west-1:568282634449:function:PRE-ImageMultiClass
-
arn:aws:lambda:eu-west-1:568282634449:function:PRE-SemanticSegmentation
-
arn:aws:lambda:eu-west-1:568282634449:function:PRE-TextMultiClass
-
arn:aws:lambda:eu-west-1:568282634449:function:PRE-NamedEntityRecognition
-
arn:aws:lambda:eu-west-1:568282634449:function:PRE-VerificationBoundingBox
-
arn:aws:lambda:eu-west-1:568282634449:function:PRE-VerificationSemanticSegmentation
-
arn:aws:lambda:eu-west-1:568282634449:function:PRE-AdjustmentBoundingBox
-
arn:aws:lambda:eu-west-1:568282634449:function:PRE-AdjustmentSemanticSegmentation
EU (London) (eu-west-2):
-
arn:aws:lambda:eu-west-2:487402164563:function:PRE-BoundingBox
-
arn:aws:lambda:eu-west-2:487402164563:function:PRE-ImageMultiClass
-
arn:aws:lambda:eu-west-2:487402164563:function:PRE-SemanticSegmentation
-
arn:aws:lambda:eu-west-2:487402164563:function:PRE-TextMultiClass
-
arn:aws:lambda:eu-west-2:487402164563:function:PRE-NamedEntityRecognition
-
arn:aws:lambda:eu-west-2:487402164563:function:PRE-VerificationBoundingBox
-
arn:aws:lambda:eu-west-2:487402164563:function:PRE-VerificationSemanticSegmentation
-
arn:aws:lambda:eu-west-2:487402164563:function:PRE-AdjustmentBoundingBox
-
arn:aws:lambda:eu-west-2:487402164563:function:PRE-AdjustmentSemanticSegmentation
EU Frankfurt (eu-central-1):
-
arn:aws:lambda:eu-central-1:203001061592:function:PRE-BoundingBox
-
arn:aws:lambda:eu-central-1:203001061592:function:PRE-ImageMultiClass
-
arn:aws:lambda:eu-central-1:203001061592:function:PRE-SemanticSegmentation
-
arn:aws:lambda:eu-central-1:203001061592:function:PRE-TextMultiClass
-
arn:aws:lambda:eu-central-1:203001061592:function:PRE-NamedEntityRecognition
-
arn:aws:lambda:eu-central-1:203001061592:function:PRE-VerificationBoundingBox
-
arn:aws:lambda:eu-central-1:203001061592:function:PRE-VerificationSemanticSegmentation
-
arn:aws:lambda:eu-central-1:203001061592:function:PRE-AdjustmentBoundingBox
-
arn:aws:lambda:eu-central-1:203001061592:function:PRE-AdjustmentSemanticSegmentation
Asia Pacific (Tokyo) (ap-northeast-1):
-
arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-BoundingBox
-
arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-ImageMultiClass
-
arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-SemanticSegmentation
-
arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-TextMultiClass
-
arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-NamedEntityRecognition
-
arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-VerificationBoundingBox
-
arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-VerificationSemanticSegmentation
-
arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-AdjustmentBoundingBox
-
arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-AdjustmentSemanticSegmentation
Asia Pacific (Seoul) (ap-northeast-2):
-
arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-BoundingBox
-
arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-ImageMultiClass
-
arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-SemanticSegmentation
-
arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-TextMultiClass
-
arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-NamedEntityRecognition
-
arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-VerificationBoundingBox
-
arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-VerificationSemanticSegmentation
-
arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-AdjustmentBoundingBox
-
arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-AdjustmentSemanticSegmentation
Asia Pacific (Mumbai) (ap-south-1):
-
arn:aws:lambda:ap-south-1:565803892007:function:PRE-BoundingBox
-
arn:aws:lambda:ap-south-1:565803892007:function:PRE-ImageMultiClass
-
arn:aws:lambda:ap-south-1:565803892007:function:PRE-SemanticSegmentation
-
arn:aws:lambda:ap-south-1:565803892007:function:PRE-TextMultiClass
-
arn:aws:lambda:ap-south-1:565803892007:function:PRE-NamedEntityRecognition
-
arn:aws:lambda:ap-south-1:565803892007:function:PRE-VerificationBoundingBox
-
arn:aws:lambda:ap-south-1:565803892007:function:PRE-VerificationSemanticSegmentation
-
arn:aws:lambda:ap-south-1:565803892007:function:PRE-AdjustmentBoundingBox
-
arn:aws:lambda:ap-south-1:565803892007:function:PRE-AdjustmentSemanticSegmentation
Asia Pacific (Singapore) (ap-southeast-1):
-
arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-BoundingBox
-
arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-ImageMultiClass
-
arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-SemanticSegmentation
-
arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-TextMultiClass
-
arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-NamedEntityRecognition
-
arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-VerificationBoundingBox
-
arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-VerificationSemanticSegmentation
-
arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-AdjustmentBoundingBox
-
arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-AdjustmentSemanticSegmentation
Asia Pacific (Sydney) (ap-southeast-2):
-
arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-BoundingBox
-
arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-ImageMultiClass
-
arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-SemanticSegmentation
-
arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-TextMultiClass
-
arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-NamedEntityRecognition
-
arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-VerificationBoundingBox
-
arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-VerificationSemanticSegmentation
-
arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-AdjustmentBoundingBox
-
arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-AdjustmentSemanticSegmentation
"
+ },
+ "TaskKeywords": {
+ "shape": "TaskKeywords",
+ "documentation": "Keywords used to describe the task so that workers on Amazon Mechanical Turk can discover the task.
"
+ },
+ "TaskTitle": {
+ "shape": "TaskTitle",
+ "documentation": "A title for the task for your human workers.
"
+ },
+ "TaskDescription": {
+ "shape": "TaskDescription",
+ "documentation": "A description of the task for your human workers.
"
+ },
+ "NumberOfHumanWorkersPerDataObject": {
+ "shape": "NumberOfHumanWorkersPerDataObject",
+ "documentation": "The number of human workers that will label an object.
"
+ },
+ "TaskTimeLimitInSeconds": {
+ "shape": "TaskTimeLimitInSeconds",
+ "documentation": "The amount of time that a worker has to complete a task.
"
+ },
+ "TaskAvailabilityLifetimeInSeconds": {
+ "shape": "TaskAvailabilityLifetimeInSeconds",
+ "documentation": "The length of time that a task remains available for labeling by human workers. If you choose the Amazon Mechanical Turk workforce, the maximum is 12 hours (43200). For private and vendor workforces, the maximum is as listed.
"
+ },
+ "MaxConcurrentTaskCount": {
+ "shape": "MaxConcurrentTaskCount",
+ "documentation": "Defines the maximum number of data objects that can be labeled by human workers at the same time. Also referred to as batch size. Each object may have more than one worker at one time.
"
+ },
+ "AnnotationConsolidationConfig": {
+ "shape": "AnnotationConsolidationConfig",
+ "documentation": "Configures how labels are consolidated across human workers.
"
+ },
+ "PublicWorkforceTaskPrice": {
+ "shape": "PublicWorkforceTaskPrice",
+ "documentation": "The price that you pay for each task performed by an Amazon Mechanical Turk worker.
"
+ }
+ },
+ "documentation": "Information required for human workers to complete a labeling task.
"
+ },
+ "HumanTaskUiArn": {
+ "type": "string",
+ "max": 1024,
+ "pattern": "arn:aws[a-z\\-]*:sagemaker:[a-z0-9\\-]*:[0-9]{12}:human-task-ui/.*"
+ },
+ "HumanTaskUiName": {
+ "type": "string",
+ "max": 63,
+ "min": 1,
+ "pattern": "^[a-z0-9](-*[a-z0-9])*"
+ },
+ "HumanTaskUiSummaries": {
+ "type": "list",
+ "member": {
+ "shape": "HumanTaskUiSummary"
+ }
+ },
+ "HumanTaskUiSummary": {
+ "type": "structure",
+ "required": [
+ "HumanTaskUiName",
+ "HumanTaskUiArn",
+ "CreationTime"
+ ],
+ "members": {
+ "HumanTaskUiName": {
+ "shape": "HumanTaskUiName",
+ "documentation": "The name of the human task user interface.
"
+ },
+ "HumanTaskUiArn": {
+ "shape": "HumanTaskUiArn",
+ "documentation": "The Amazon Resource Name (ARN) of the human task user interface.
"
+ },
+ "CreationTime": {
+ "shape": "Timestamp",
+ "documentation": "A timestamp when SageMaker created the human task user interface.
"
+ }
+ },
+ "documentation": "Container for human task user interface information.
"
+ },
+ "HyperParameterAlgorithmSpecification": {
+ "type": "structure",
+ "required": [
+ "TrainingInputMode"
+ ],
+ "members": {
+ "TrainingImage": {
+ "shape": "AlgorithmImage",
+ "documentation": " The registry path of the Docker image that contains the training algorithm. For information about Docker registry paths for built-in algorithms, see Algorithms Provided by Amazon SageMaker: Common Parameters. Amazon SageMaker supports both registry/repository[:tag]
and registry/repository[@digest]
image path formats. For more information, see Using Your Own Algorithms with Amazon SageMaker.
"
+ },
+ "TrainingInputMode": {
+ "shape": "TrainingInputMode",
+ "documentation": "The input mode that the algorithm supports: File or Pipe. In File input mode, Amazon SageMaker downloads the training data from Amazon S3 to the storage volume that is attached to the training instance and mounts the directory to the Docker volume for the training container. In Pipe input mode, Amazon SageMaker streams data directly from Amazon S3 to the container.
If you specify File mode, make sure that you provision the storage volume that is attached to the training instance with enough capacity to accommodate the training data downloaded from Amazon S3, the model artifacts, and intermediate information.
For more information about input modes, see Algorithms.
"
+ },
+ "AlgorithmName": {
+ "shape": "ArnOrName",
+ "documentation": "The name of the resource algorithm to use for the hyperparameter tuning job. If you specify a value for this parameter, do not specify a value for TrainingImage
.
"
+ },
+ "MetricDefinitions": {
+ "shape": "MetricDefinitionList",
+ "documentation": "An array of MetricDefinition objects that specify the metrics that the algorithm emits.
"
+ }
+ },
+ "documentation": "Specifies which training algorithm to use for training jobs that a hyperparameter tuning job launches and the metrics to monitor.
"
+ },
+ "HyperParameterScalingType": {
+ "type": "string",
+ "enum": [
+ "Auto",
+ "Linear",
+ "Logarithmic",
+ "ReverseLogarithmic"
+ ]
+ },
+ "HyperParameterSpecification": {
+ "type": "structure",
+ "required": [
+ "Name",
+ "Type"
+ ],
+ "members": {
+ "Name": {
+ "shape": "ParameterName",
+ "documentation": "The name of this hyperparameter. The name must be unique.
"
+ },
+ "Description": {
+ "shape": "EntityDescription",
+ "documentation": "A brief description of the hyperparameter.
"
+ },
+ "Type": {
+ "shape": "ParameterType",
+ "documentation": "The type of this hyperparameter. The valid types are Integer
, Continuous
, Categorical
, and FreeText
.
"
+ },
+ "Range": {
+ "shape": "ParameterRange",
+ "documentation": "The allowed range for this hyperparameter.
"
+ },
+ "IsTunable": {
+ "shape": "Boolean",
+ "documentation": "Indicates whether this hyperparameter is tunable in a hyperparameter tuning job.
"
+ },
+ "IsRequired": {
+ "shape": "Boolean",
+ "documentation": "Indicates whether this hyperparameter is required.
"
+ },
+ "DefaultValue": {
+ "shape": "ParameterValue",
+ "documentation": "The default value for this hyperparameter. If a default value is specified, a hyperparameter cannot be required.
"
+ }
+ },
+ "documentation": "Defines a hyperparameter to be used by an algorithm.
"
+ },
+ "HyperParameterSpecifications": {
+ "type": "list",
+ "member": {
+ "shape": "HyperParameterSpecification"
+ },
+ "max": 100,
+ "min": 0
+ },
+ "HyperParameterTrainingJobDefinition": {
+ "type": "structure",
+ "required": [
+ "AlgorithmSpecification",
+ "RoleArn",
+ "OutputDataConfig",
+ "ResourceConfig",
+ "StoppingCondition"
+ ],
+ "members": {
+ "DefinitionName": {
+ "shape": "HyperParameterTrainingJobDefinitionName",
+ "documentation": "The job definition name.
"
+ },
+ "TuningObjective": {
+ "shape": "HyperParameterTuningJobObjective"
+ },
+ "HyperParameterRanges": {
+ "shape": "ParameterRanges"
+ },
+ "StaticHyperParameters": {
+ "shape": "HyperParameters",
+ "documentation": "Specifies the values of hyperparameters that do not change for the tuning job.
"
+ },
+ "AlgorithmSpecification": {
+ "shape": "HyperParameterAlgorithmSpecification",
+ "documentation": "The HyperParameterAlgorithmSpecification object that specifies the resource algorithm to use for the training jobs that the tuning job launches.
"
+ },
+ "RoleArn": {
+ "shape": "RoleArn",
+ "documentation": "The Amazon Resource Name (ARN) of the IAM role associated with the training jobs that the tuning job launches.
"
+ },
+ "InputDataConfig": {
+ "shape": "InputDataConfig",
+ "documentation": "An array of Channel objects that specify the input for the training jobs that the tuning job launches.
"
+ },
+ "VpcConfig": {
+ "shape": "VpcConfig",
+ "documentation": "The VpcConfig object that specifies the VPC that you want the training jobs that this hyperparameter tuning job launches to connect to. Control access to and from your training container by configuring the VPC. For more information, see Protect Training Jobs by Using an Amazon Virtual Private Cloud.
"
+ },
+ "OutputDataConfig": {
+ "shape": "OutputDataConfig",
+ "documentation": "Specifies the path to the Amazon S3 bucket where you store model artifacts from the training jobs that the tuning job launches.
"
+ },
+ "ResourceConfig": {
+ "shape": "ResourceConfig",
+ "documentation": "The resources, including the compute instances and storage volumes, to use for the training jobs that the tuning job launches.
Storage volumes store model artifacts and incremental states. Training algorithms might also use storage volumes for scratch space. If you want Amazon SageMaker to use the storage volume to store the training data, choose File
as the TrainingInputMode
in the algorithm specification. For distributed training algorithms, specify an instance count greater than 1.
"
+ },
+ "StoppingCondition": {
+ "shape": "StoppingCondition",
+ "documentation": "Specifies a limit to how long a model hyperparameter training job can run. It also specifies how long you are willing to wait for a managed spot training job to complete. When the job reaches the a limit, Amazon SageMaker ends the training job. Use this API to cap model training costs.
"
+ },
+ "EnableNetworkIsolation": {
+ "shape": "Boolean",
+ "documentation": "Isolates the training container. No inbound or outbound network calls can be made, except for calls between peers within a training cluster for distributed training. If network isolation is used for training jobs that are configured to use a VPC, Amazon SageMaker downloads and uploads customer data and model artifacts through the specified VPC, but the training container does not have network access.
The Semantic Segmentation built-in algorithm does not support network isolation.
"
+ },
+ "EnableInterContainerTrafficEncryption": {
+ "shape": "Boolean",
+ "documentation": "To encrypt all communications between ML compute instances in distributed training, choose True
. Encryption provides greater security for distributed training, but training might take longer. How long it takes depends on the amount of communication between compute instances, especially if you use a deep learning algorithm in distributed training.
"
+ },
+ "EnableManagedSpotTraining": {
+ "shape": "Boolean",
+ "documentation": "A Boolean indicating whether managed spot training is enabled (True
) or not (False
).
"
+ },
+ "CheckpointConfig": {
+ "shape": "CheckpointConfig"
+ }
+ },
+ "documentation": "Defines the training jobs launched by a hyperparameter tuning job.
"
+ },
+ "HyperParameterTrainingJobDefinitionName": {
+ "type": "string",
+ "max": 64,
+ "min": 1,
+ "pattern": "^[a-zA-Z0-9](-*[a-zA-Z0-9])*"
+ },
+ "HyperParameterTrainingJobDefinitions": {
+ "type": "list",
+ "member": {
+ "shape": "HyperParameterTrainingJobDefinition"
+ },
+ "max": 10,
+ "min": 1
+ },
+ "HyperParameterTrainingJobSummaries": {
+ "type": "list",
+ "member": {
+ "shape": "HyperParameterTrainingJobSummary"
+ }
+ },
+ "HyperParameterTrainingJobSummary": {
+ "type": "structure",
+ "required": [
+ "TrainingJobName",
+ "TrainingJobArn",
+ "CreationTime",
+ "TrainingJobStatus",
+ "TunedHyperParameters"
+ ],
+ "members": {
+ "TrainingJobDefinitionName": {
+ "shape": "HyperParameterTrainingJobDefinitionName",
+ "documentation": "The training job definition name.
"
+ },
+ "TrainingJobName": {
+ "shape": "TrainingJobName",
+ "documentation": "The name of the training job.
"
+ },
+ "TrainingJobArn": {
+ "shape": "TrainingJobArn",
+ "documentation": "The Amazon Resource Name (ARN) of the training job.
"
+ },
+ "TuningJobName": {
+ "shape": "HyperParameterTuningJobName",
+ "documentation": "The HyperParameter tuning job that launched the training job.
"
+ },
+ "CreationTime": {
+ "shape": "Timestamp",
+ "documentation": "The date and time that the training job was created.
"
+ },
+ "TrainingStartTime": {
+ "shape": "Timestamp",
+ "documentation": "The date and time that the training job started.
"
+ },
+ "TrainingEndTime": {
+ "shape": "Timestamp",
+ "documentation": "Specifies the time when the training job ends on training instances. You are billed for the time interval between the value of TrainingStartTime
and this time. For successful jobs and stopped jobs, this is the time after model artifacts are uploaded. For failed jobs, this is the time when Amazon SageMaker detects a job failure.
"
+ },
+ "TrainingJobStatus": {
+ "shape": "TrainingJobStatus",
+ "documentation": "The status of the training job.
"
+ },
+ "TunedHyperParameters": {
+ "shape": "HyperParameters",
+ "documentation": "A list of the hyperparameters for which you specified ranges to search.
"
+ },
+ "FailureReason": {
+ "shape": "FailureReason",
+ "documentation": "The reason that the training job failed.
"
+ },
+ "FinalHyperParameterTuningJobObjectiveMetric": {
+ "shape": "FinalHyperParameterTuningJobObjectiveMetric",
+ "documentation": "The FinalHyperParameterTuningJobObjectiveMetric object that specifies the value of the objective metric of the tuning job that launched this training job.
"
+ },
+ "ObjectiveStatus": {
+ "shape": "ObjectiveStatus",
+ "documentation": "The status of the objective metric for the training job:
"
+ }
+ },
+ "documentation": "Specifies summary information about a training job.
"
+ },
+ "HyperParameterTuningJobArn": {
+ "type": "string",
+ "max": 256,
+ "pattern": "arn:aws[a-z\\-]*:sagemaker:[a-z0-9\\-]*:[0-9]{12}:hyper-parameter-tuning-job/.*"
+ },
+ "HyperParameterTuningJobConfig": {
+ "type": "structure",
+ "required": [
+ "Strategy",
+ "ResourceLimits"
+ ],
+ "members": {
+ "Strategy": {
+ "shape": "HyperParameterTuningJobStrategyType",
+ "documentation": "Specifies how hyperparameter tuning chooses the combinations of hyperparameter values to use for the training job it launches. To use the Bayesian search strategy, set this to Bayesian
. To randomly search, set it to Random
. For information about search strategies, see How Hyperparameter Tuning Works.
"
+ },
+ "HyperParameterTuningJobObjective": {
+ "shape": "HyperParameterTuningJobObjective",
+ "documentation": "The HyperParameterTuningJobObjective object that specifies the objective metric for this tuning job.
"
+ },
+ "ResourceLimits": {
+ "shape": "ResourceLimits",
+ "documentation": "The ResourceLimits object that specifies the maximum number of training jobs and parallel training jobs for this tuning job.
"
+ },
+ "ParameterRanges": {
+ "shape": "ParameterRanges",
+ "documentation": "The ParameterRanges object that specifies the ranges of hyperparameters that this tuning job searches.
"
+ },
+ "TrainingJobEarlyStoppingType": {
+ "shape": "TrainingJobEarlyStoppingType",
+ "documentation": "Specifies whether to use early stopping for training jobs launched by the hyperparameter tuning job. This can be one of the following values (the default value is OFF
):
- OFF
-
Training jobs launched by the hyperparameter tuning job do not use early stopping.
- AUTO
-
Amazon SageMaker stops training jobs launched by the hyperparameter tuning job when they are unlikely to perform better than previously completed training jobs. For more information, see Stop Training Jobs Early.
"
+ },
+ "TuningJobCompletionCriteria": {
+ "shape": "TuningJobCompletionCriteria",
+ "documentation": "The tuning job's completion criteria.
"
+ }
+ },
+ "documentation": "Configures a hyperparameter tuning job.
"
+ },
+ "HyperParameterTuningJobName": {
+ "type": "string",
+ "max": 32,
+ "min": 1,
+ "pattern": "^[a-zA-Z0-9](-*[a-zA-Z0-9])*"
+ },
+ "HyperParameterTuningJobObjective": {
+ "type": "structure",
+ "required": [
+ "Type",
+ "MetricName"
+ ],
+ "members": {
+ "Type": {
+ "shape": "HyperParameterTuningJobObjectiveType",
+ "documentation": "Whether to minimize or maximize the objective metric.
"
+ },
+ "MetricName": {
+ "shape": "MetricName",
+ "documentation": "The name of the metric to use for the objective metric.
"
+ }
+ },
+ "documentation": "Defines the objective metric for a hyperparameter tuning job. Hyperparameter tuning uses the value of this metric to evaluate the training jobs it launches, and returns the training job that results in either the highest or lowest value for this metric, depending on the value you specify for the Type
parameter.
"
+ },
+ "HyperParameterTuningJobObjectiveType": {
+ "type": "string",
+ "enum": [
+ "Maximize",
+ "Minimize"
+ ]
+ },
+ "HyperParameterTuningJobObjectives": {
+ "type": "list",
+ "member": {
+ "shape": "HyperParameterTuningJobObjective"
+ }
+ },
+ "HyperParameterTuningJobSortByOptions": {
+ "type": "string",
+ "enum": [
+ "Name",
+ "Status",
+ "CreationTime"
+ ]
+ },
+ "HyperParameterTuningJobStatus": {
+ "type": "string",
+ "enum": [
"Completed",
- "Failed"
+ "InProgress",
+ "Failed",
+ "Stopped",
+ "Stopping"
+ ]
+ },
+ "HyperParameterTuningJobStrategyType": {
+ "type": "string",
+ "documentation": "The strategy hyperparameter tuning uses to find the best combination of hyperparameters for your model. Currently, the only supported value is Bayesian
.
",
+ "enum": [
+ "Bayesian",
+ "Random"
+ ]
+ },
+ "HyperParameterTuningJobSummaries": {
+ "type": "list",
+ "member": {
+ "shape": "HyperParameterTuningJobSummary"
+ }
+ },
+ "HyperParameterTuningJobSummary": {
+ "type": "structure",
+ "required": [
+ "HyperParameterTuningJobName",
+ "HyperParameterTuningJobArn",
+ "HyperParameterTuningJobStatus",
+ "Strategy",
+ "CreationTime",
+ "TrainingJobStatusCounters",
+ "ObjectiveStatusCounters"
+ ],
+ "members": {
+ "HyperParameterTuningJobName": {
+ "shape": "HyperParameterTuningJobName",
+ "documentation": "The name of the tuning job.
"
+ },
+ "HyperParameterTuningJobArn": {
+ "shape": "HyperParameterTuningJobArn",
+ "documentation": "The Amazon Resource Name (ARN) of the tuning job.
"
+ },
+ "HyperParameterTuningJobStatus": {
+ "shape": "HyperParameterTuningJobStatus",
+ "documentation": "The status of the tuning job.
"
+ },
+ "Strategy": {
+ "shape": "HyperParameterTuningJobStrategyType",
+ "documentation": "Specifies the search strategy hyperparameter tuning uses to choose which hyperparameters to use for each iteration. Currently, the only valid value is Bayesian.
"
+ },
+ "CreationTime": {
+ "shape": "Timestamp",
+ "documentation": "The date and time that the tuning job was created.
"
+ },
+ "HyperParameterTuningEndTime": {
+ "shape": "Timestamp",
+ "documentation": "The date and time that the tuning job ended.
"
+ },
+ "LastModifiedTime": {
+ "shape": "Timestamp",
+ "documentation": "The date and time that the tuning job was modified.
"
+ },
+ "TrainingJobStatusCounters": {
+ "shape": "TrainingJobStatusCounters",
+ "documentation": "The TrainingJobStatusCounters object that specifies the numbers of training jobs, categorized by status, that this tuning job launched.
"
+ },
+ "ObjectiveStatusCounters": {
+ "shape": "ObjectiveStatusCounters",
+ "documentation": "The ObjectiveStatusCounters object that specifies the numbers of training jobs, categorized by objective metric status, that this tuning job launched.
"
+ },
+ "ResourceLimits": {
+ "shape": "ResourceLimits",
+ "documentation": "The ResourceLimits object that specifies the maximum number of training jobs and parallel training jobs allowed for this tuning job.
"
+ }
+ },
+ "documentation": "Provides summary information about a hyperparameter tuning job.
"
+ },
+ "HyperParameterTuningJobWarmStartConfig": {
+ "type": "structure",
+ "required": [
+ "ParentHyperParameterTuningJobs",
+ "WarmStartType"
+ ],
+ "members": {
+ "ParentHyperParameterTuningJobs": {
+ "shape": "ParentHyperParameterTuningJobs",
+ "documentation": "An array of hyperparameter tuning jobs that are used as the starting point for the new hyperparameter tuning job. For more information about warm starting a hyperparameter tuning job, see Using a Previous Hyperparameter Tuning Job as a Starting Point.
Hyperparameter tuning jobs created before October 1, 2018 cannot be used as parent jobs for warm start tuning jobs.
"
+ },
+ "WarmStartType": {
+ "shape": "HyperParameterTuningJobWarmStartType",
+ "documentation": "Specifies one of the following:
- IDENTICAL_DATA_AND_ALGORITHM
-
The new hyperparameter tuning job uses the same input data and training image as the parent tuning jobs. You can change the hyperparameter ranges to search and the maximum number of training jobs that the hyperparameter tuning job launches. You cannot use a new version of the training algorithm, unless the changes in the new version do not affect the algorithm itself. For example, changes that improve logging or adding support for a different data format are allowed. You can also change hyperparameters from tunable to static, and from static to tunable, but the total number of static plus tunable hyperparameters must remain the same as it is in all parent jobs. The objective metric for the new tuning job must be the same as for all parent jobs.
- TRANSFER_LEARNING
-
The new hyperparameter tuning job can include input data, hyperparameter ranges, maximum number of concurrent training jobs, and maximum number of training jobs that are different than those of its parent hyperparameter tuning jobs. The training image can also be a different version from the version used in the parent hyperparameter tuning job. You can also change hyperparameters from tunable to static, and from static to tunable, but the total number of static plus tunable hyperparameters must remain the same as it is in all parent jobs. The objective metric for the new tuning job must be the same as for all parent jobs.
"
+ }
+ },
+ "documentation": "Specifies the configuration for a hyperparameter tuning job that uses one or more previous hyperparameter tuning jobs as a starting point. The results of previous tuning jobs are used to inform which combinations of hyperparameters to search over in the new tuning job.
All training jobs launched by the new hyperparameter tuning job are evaluated by using the objective metric, and the training job that performs the best is compared to the best training jobs from the parent tuning jobs. From these, the training job that performs the best as measured by the objective metric is returned as the overall best training job.
All training jobs launched by parent hyperparameter tuning jobs and the new hyperparameter tuning jobs count against the limit of training jobs for the tuning job.
"
+ },
+ "HyperParameterTuningJobWarmStartType": {
+ "type": "string",
+ "enum": [
+ "IdenticalDataAndAlgorithm",
+ "TransferLearning"
+ ]
+ },
+ "HyperParameters": {
+ "type": "map",
+ "key": {
+ "shape": "ParameterKey"
+ },
+ "value": {
+ "shape": "ParameterValue"
+ },
+ "max": 100,
+ "min": 0
+ },
+ "Image": {
+ "type": "string",
+ "max": 255,
+ "pattern": "[\\S]+"
+ },
+ "ImageDigest": {
+ "type": "string",
+ "max": 72,
+ "pattern": "^[Ss][Hh][Aa]256:[0-9a-fA-F]{64}$"
+ },
+ "ImageUri": {
+ "type": "string",
+ "max": 255,
+ "pattern": ".*"
+ },
+ "InferenceSpecification": {
+ "type": "structure",
+ "required": [
+ "Containers",
+ "SupportedTransformInstanceTypes",
+ "SupportedRealtimeInferenceInstanceTypes",
+ "SupportedContentTypes",
+ "SupportedResponseMIMETypes"
+ ],
+ "members": {
+ "Containers": {
+ "shape": "ModelPackageContainerDefinitionList",
+ "documentation": "The Amazon ECR registry path of the Docker image that contains the inference code.
"
+ },
+ "SupportedTransformInstanceTypes": {
+ "shape": "TransformInstanceTypes",
+ "documentation": "A list of the instance types on which a transformation job can be run or on which an endpoint can be deployed.
"
+ },
+ "SupportedRealtimeInferenceInstanceTypes": {
+ "shape": "RealtimeInferenceInstanceTypes",
+ "documentation": "A list of the instance types that are used to generate inferences in real-time.
"
+ },
+ "SupportedContentTypes": {
+ "shape": "ContentTypes",
+ "documentation": "The supported MIME types for the input data.
"
+ },
+ "SupportedResponseMIMETypes": {
+ "shape": "ResponseMIMETypes",
+ "documentation": "The supported MIME types for the output data.
"
+ }
+ },
+ "documentation": "Defines how to perform inference generation after a training job is run.
"
+ },
+ "InputConfig": {
+ "type": "structure",
+ "required": [
+ "S3Uri",
+ "DataInputConfig",
+ "Framework"
+ ],
+ "members": {
+ "S3Uri": {
+ "shape": "S3Uri",
+ "documentation": "The S3 path where the model artifacts, which result from model training, are stored. This path must point to a single gzip compressed tar archive (.tar.gz suffix).
"
+ },
+ "DataInputConfig": {
+ "shape": "DataInputConfig",
+ "documentation": "Specifies the name and shape of the expected data inputs for your trained model with a JSON dictionary form. The data inputs are InputConfig$Framework specific.
-
TensorFlow
: You must specify the name and shape (NHWC format) of the expected data inputs using a dictionary format for your trained model. The dictionary formats required for the console and CLI are different.
-
Examples for one input:
-
If using the console, {\"input\":[1,1024,1024,3]}
-
If using the CLI, {\\\"input\\\":[1,1024,1024,3]}
-
Examples for two inputs:
-
If using the console, {\"data1\": [1,28,28,1], \"data2\":[1,28,28,1]}
-
If using the CLI, {\\\"data1\\\": [1,28,28,1], \\\"data2\\\":[1,28,28,1]}
-
MXNET/ONNX
: You must specify the name and shape (NCHW format) of the expected data inputs in order using a dictionary format for your trained model. The dictionary formats required for the console and CLI are different.
-
Examples for one input:
-
If using the console, {\"data\":[1,3,1024,1024]}
-
If using the CLI, {\\\"data\\\":[1,3,1024,1024]}
-
Examples for two inputs:
-
If using the console, {\"var1\": [1,1,28,28], \"var2\":[1,1,28,28]}
-
If using the CLI, {\\\"var1\\\": [1,1,28,28], \\\"var2\\\":[1,1,28,28]}
-
PyTorch
: You can either specify the name and shape (NCHW format) of expected data inputs in order using a dictionary format for your trained model or you can specify the shape only using a list format. The dictionary formats required for the console and CLI are different. The list formats for the console and CLI are the same.
-
Examples for one input in dictionary format:
-
If using the console, {\"input0\":[1,3,224,224]}
-
If using the CLI, {\\\"input0\\\":[1,3,224,224]}
-
Example for one input in list format: [[1,3,224,224]]
-
Examples for two inputs in dictionary format:
-
If using the console, {\"input0\":[1,3,224,224], \"input1\":[1,3,224,224]}
-
If using the CLI, {\\\"input0\\\":[1,3,224,224], \\\"input1\\\":[1,3,224,224]}
-
Example for two inputs in list format: [[1,3,224,224], [1,3,224,224]]
-
XGBOOST
: input data name and shape are not needed.
"
+ },
+ "Framework": {
+ "shape": "Framework",
+ "documentation": "Identifies the framework in which the model was trained. For example: TENSORFLOW.
"
+ }
+ },
+ "documentation": "Contains information about the location of input model artifacts, the name and shape of the expected data inputs, and the framework in which the model was trained.
"
+ },
+ "InputDataConfig": {
+ "type": "list",
+ "member": {
+ "shape": "Channel"
+ },
+ "max": 20,
+ "min": 1
+ },
+ "InputModes": {
+ "type": "list",
+ "member": {
+ "shape": "TrainingInputMode"
+ },
+ "min": 1
+ },
+ "InstanceType": {
+ "type": "string",
+ "enum": [
+ "ml.t2.medium",
+ "ml.t2.large",
+ "ml.t2.xlarge",
+ "ml.t2.2xlarge",
+ "ml.t3.medium",
+ "ml.t3.large",
+ "ml.t3.xlarge",
+ "ml.t3.2xlarge",
+ "ml.m4.xlarge",
+ "ml.m4.2xlarge",
+ "ml.m4.4xlarge",
+ "ml.m4.10xlarge",
+ "ml.m4.16xlarge",
+ "ml.m5.xlarge",
+ "ml.m5.2xlarge",
+ "ml.m5.4xlarge",
+ "ml.m5.12xlarge",
+ "ml.m5.24xlarge",
+ "ml.c4.xlarge",
+ "ml.c4.2xlarge",
+ "ml.c4.4xlarge",
+ "ml.c4.8xlarge",
+ "ml.c5.xlarge",
+ "ml.c5.2xlarge",
+ "ml.c5.4xlarge",
+ "ml.c5.9xlarge",
+ "ml.c5.18xlarge",
+ "ml.c5d.xlarge",
+ "ml.c5d.2xlarge",
+ "ml.c5d.4xlarge",
+ "ml.c5d.9xlarge",
+ "ml.c5d.18xlarge",
+ "ml.p2.xlarge",
+ "ml.p2.8xlarge",
+ "ml.p2.16xlarge",
+ "ml.p3.2xlarge",
+ "ml.p3.8xlarge",
+ "ml.p3.16xlarge"
]
},
- "DetailedModelPackageStatus": {
+ "IntegerParameterRange": {
+ "type": "structure",
+ "required": [
+ "Name",
+ "MinValue",
+ "MaxValue"
+ ],
+ "members": {
+ "Name": {
+ "shape": "ParameterKey",
+ "documentation": "The name of the hyperparameter to search.
"
+ },
+ "MinValue": {
+ "shape": "ParameterValue",
+ "documentation": "The minimum value of the hyperparameter to search.
"
+ },
+ "MaxValue": {
+ "shape": "ParameterValue",
+ "documentation": "The maximum value of the hyperparameter to search.
"
+ },
+ "ScalingType": {
+ "shape": "HyperParameterScalingType",
+ "documentation": "The scale that hyperparameter tuning uses to search the hyperparameter range. For information about choosing a hyperparameter scale, see Hyperparameter Scaling. One of the following values:
- Auto
-
Amazon SageMaker hyperparameter tuning chooses the best scale for the hyperparameter.
- Linear
-
Hyperparameter tuning searches the values in the hyperparameter range by using a linear scale.
- Logarithmic
-
Hyperparameter tuning searches the values in the hyperparameter range by using a logarithmic scale.
Logarithmic scaling works only for ranges that have only values greater than 0.
"
+ }
+ },
+ "documentation": "For a hyperparameter of the integer type, specifies the range that a hyperparameter tuning job searches.
"
+ },
+ "IntegerParameterRangeSpecification": {
+ "type": "structure",
+ "required": [
+ "MinValue",
+ "MaxValue"
+ ],
+ "members": {
+ "MinValue": {
+ "shape": "ParameterValue",
+ "documentation": "The minimum integer value allowed.
"
+ },
+ "MaxValue": {
+ "shape": "ParameterValue",
+ "documentation": "The maximum integer value allowed.
"
+ }
+ },
+ "documentation": "Defines the possible values for an integer hyperparameter.
"
+ },
+ "IntegerParameterRanges": {
+ "type": "list",
+ "member": {
+ "shape": "IntegerParameterRange"
+ },
+ "max": 20,
+ "min": 0
+ },
+ "JobReferenceCode": {
"type": "string",
- "enum": [
- "NotStarted",
- "InProgress",
- "Completed",
- "Failed"
- ]
+ "min": 1,
+ "pattern": ".+"
},
- "DirectInternetAccess": {
+ "JobReferenceCodeContains": {
+ "type": "string",
+ "max": 255,
+ "min": 1,
+ "pattern": ".+"
+ },
+ "JoinSource": {
"type": "string",
"enum": [
- "Enabled",
- "Disabled"
+ "Input",
+ "None"
]
},
- "DirectoryPath": {
+ "JsonContentType": {
"type": "string",
- "max": 4096,
- "pattern": ".*"
+ "min": 1,
+ "pattern": "^[a-zA-Z0-9](-*[a-zA-Z0-9])*\\/[a-zA-Z0-9](-*[a-zA-Z0-9.])*"
},
- "DisassociateAdditionalCodeRepositories": {
- "type": "boolean"
+ "JsonContentTypes": {
+ "type": "list",
+ "member": {
+ "shape": "JsonContentType"
+ },
+ "max": 10,
+ "min": 1
},
- "DisassociateDefaultCodeRepository": {
- "type": "boolean"
+ "JsonPath": {
+ "type": "string",
+ "max": 63,
+ "min": 0
},
- "DisassociateNotebookInstanceAcceleratorTypes": {
- "type": "boolean"
+ "JupyterServerAppSettings": {
+ "type": "structure",
+ "members": {
+ "DefaultResourceSpec": {
+ "shape": "ResourceSpec",
+ "documentation": "The instance type and quantity.
"
+ }
+ },
+ "documentation": "Jupyter server's app settings.
"
},
- "DisassociateNotebookInstanceLifecycleConfig": {
- "type": "boolean"
+ "KernelGatewayAppSettings": {
+ "type": "structure",
+ "members": {
+ "DefaultResourceSpec": {
+ "shape": "ResourceSpec",
+ "documentation": "The instance type and quantity.
"
+ }
+ },
+ "documentation": "The kernel gateway app settings.
"
},
- "Dollars": {
+ "KmsKeyId": {
+ "type": "string",
+ "max": 2048,
+ "pattern": ".*"
+ },
+ "LabelAttributeName": {
+ "type": "string",
+ "max": 127,
+ "min": 1,
+ "pattern": "^[a-zA-Z0-9](-*[a-zA-Z0-9])*"
+ },
+ "LabelCounter": {
"type": "integer",
- "max": 1,
"min": 0
},
- "EndpointArn": {
+ "LabelCounters": {
+ "type": "structure",
+ "members": {
+ "TotalLabeled": {
+ "shape": "LabelCounter",
+ "documentation": "The total number of objects labeled.
"
+ },
+ "HumanLabeled": {
+ "shape": "LabelCounter",
+ "documentation": "The total number of objects labeled by a human worker.
"
+ },
+ "MachineLabeled": {
+ "shape": "LabelCounter",
+ "documentation": "The total number of objects labeled by automated data labeling.
"
+ },
+ "FailedNonRetryableError": {
+ "shape": "LabelCounter",
+ "documentation": "The total number of objects that could not be labeled due to an error.
"
+ },
+ "Unlabeled": {
+ "shape": "LabelCounter",
+ "documentation": "The total number of objects not yet labeled.
"
+ }
+ },
+ "documentation": "Provides a breakdown of the number of objects labeled.
"
+ },
+ "LabelCountersForWorkteam": {
+ "type": "structure",
+ "members": {
+ "HumanLabeled": {
+ "shape": "LabelCounter",
+ "documentation": "The total number of data objects labeled by a human worker.
"
+ },
+ "PendingHuman": {
+ "shape": "LabelCounter",
+ "documentation": "The total number of data objects that need to be labeled by a human worker.
"
+ },
+ "Total": {
+ "shape": "LabelCounter",
+ "documentation": "The total number of tasks in the labeling job.
"
+ }
+ },
+ "documentation": "Provides counts for human-labeled tasks in the labeling job.
"
+ },
+ "LabelingJobAlgorithmSpecificationArn": {
"type": "string",
"max": 2048,
- "min": 20,
- "pattern": "arn:aws[a-z\\-]*:sagemaker:[a-z0-9\\-]*:[0-9]{12}:endpoint/.*"
+ "pattern": "arn:.*"
},
- "EndpointConfigArn": {
+ "LabelingJobAlgorithmsConfig": {
+ "type": "structure",
+ "required": [
+ "LabelingJobAlgorithmSpecificationArn"
+ ],
+ "members": {
+ "LabelingJobAlgorithmSpecificationArn": {
+ "shape": "LabelingJobAlgorithmSpecificationArn",
+ "documentation": "Specifies the Amazon Resource Name (ARN) of the algorithm used for auto-labeling. You must select one of the following ARNs:
-
Image classification
arn:aws:sagemaker:region:027400017018:labeling-job-algorithm-specification/image-classification
-
Text classification
arn:aws:sagemaker:region:027400017018:labeling-job-algorithm-specification/text-classification
-
Object detection
arn:aws:sagemaker:region:027400017018:labeling-job-algorithm-specification/object-detection
-
Semantic Segmentation
arn:aws:sagemaker:region:027400017018:labeling-job-algorithm-specification/semantic-segmentation
"
+ },
+ "InitialActiveLearningModelArn": {
+ "shape": "ModelArn",
+ "documentation": "At the end of an auto-label job Amazon SageMaker Ground Truth sends the Amazon Resource Nam (ARN) of the final model used for auto-labeling. You can use this model as the starting point for subsequent similar jobs by providing the ARN of the model here.
"
+ },
+ "LabelingJobResourceConfig": {
+ "shape": "LabelingJobResourceConfig",
+ "documentation": "Provides configuration information for a labeling job.
"
+ }
+ },
+ "documentation": "Provides configuration information for auto-labeling of your data objects. A LabelingJobAlgorithmsConfig
object must be supplied in order to use auto-labeling.
"
+ },
+ "LabelingJobArn": {
"type": "string",
"max": 2048,
- "min": 20,
- "pattern": "arn:aws[a-z\\-]*:sagemaker:[a-z0-9\\-]*:[0-9]{12}:endpoint-config/.*"
+ "pattern": "arn:aws[a-z\\-]*:sagemaker:[a-z0-9\\-]*:[0-9]{12}:labeling-job/.*"
+ },
+ "LabelingJobDataAttributes": {
+ "type": "structure",
+ "members": {
+ "ContentClassifiers": {
+ "shape": "ContentClassifiers",
+ "documentation": "Declares that your content is free of personally identifiable information or adult content. Amazon SageMaker may restrict the Amazon Mechanical Turk workers that can view your task based on this information.
"
+ }
+ },
+ "documentation": "Attributes of the data specified by the customer. Use these to describe the data to be labeled.
"
+ },
+ "LabelingJobDataSource": {
+ "type": "structure",
+ "required": [
+ "S3DataSource"
+ ],
+ "members": {
+ "S3DataSource": {
+ "shape": "LabelingJobS3DataSource",
+ "documentation": "The Amazon S3 location of the input data objects.
"
+ }
+ },
+ "documentation": "Provides information about the location of input data.
"
+ },
+ "LabelingJobForWorkteamSummary": {
+ "type": "structure",
+ "required": [
+ "JobReferenceCode",
+ "WorkRequesterAccountId",
+ "CreationTime"
+ ],
+ "members": {
+ "LabelingJobName": {
+ "shape": "LabelingJobName",
+ "documentation": "The name of the labeling job that the work team is assigned to.
"
+ },
+ "JobReferenceCode": {
+ "shape": "JobReferenceCode",
+ "documentation": "A unique identifier for a labeling job. You can use this to refer to a specific labeling job.
"
+ },
+ "WorkRequesterAccountId": {
+ "shape": "AccountId",
+ "documentation": ""
+ },
+ "CreationTime": {
+ "shape": "Timestamp",
+ "documentation": "The date and time that the labeling job was created.
"
+ },
+ "LabelCounters": {
+ "shape": "LabelCountersForWorkteam",
+ "documentation": "Provides information about the progress of a labeling job.
"
+ },
+ "NumberOfHumanWorkersPerDataObject": {
+ "shape": "NumberOfHumanWorkersPerDataObject",
+ "documentation": "The configured number of workers per data object.
"
+ }
+ },
+ "documentation": "Provides summary information for a work team.
"
+ },
+ "LabelingJobForWorkteamSummaryList": {
+ "type": "list",
+ "member": {
+ "shape": "LabelingJobForWorkteamSummary"
+ }
+ },
+ "LabelingJobInputConfig": {
+ "type": "structure",
+ "required": [
+ "DataSource"
+ ],
+ "members": {
+ "DataSource": {
+ "shape": "LabelingJobDataSource",
+ "documentation": "The location of the input data.
"
+ },
+ "DataAttributes": {
+ "shape": "LabelingJobDataAttributes",
+ "documentation": "Attributes of the data specified by the customer.
"
+ }
+ },
+ "documentation": "Input configuration information for a labeling job.
"
},
- "EndpointConfigName": {
+ "LabelingJobName": {
"type": "string",
"max": 63,
+ "min": 1,
"pattern": "^[a-zA-Z0-9](-*[a-zA-Z0-9])*"
},
- "EndpointConfigNameContains": {
- "type": "string",
- "max": 63,
- "pattern": "[a-zA-Z0-9-]+"
+ "LabelingJobOutput": {
+ "type": "structure",
+ "required": [
+ "OutputDatasetS3Uri"
+ ],
+ "members": {
+ "OutputDatasetS3Uri": {
+ "shape": "S3Uri",
+ "documentation": "The Amazon S3 bucket location of the manifest file for labeled data.
"
+ },
+ "FinalActiveLearningModelArn": {
+ "shape": "ModelArn",
+ "documentation": "The Amazon Resource Name (ARN) for the most recent Amazon SageMaker model trained as part of automated data labeling.
"
+ }
+ },
+ "documentation": "Specifies the location of the output produced by the labeling job.
"
},
- "EndpointConfigSortKey": {
+ "LabelingJobOutputConfig": {
+ "type": "structure",
+ "required": [
+ "S3OutputPath"
+ ],
+ "members": {
+ "S3OutputPath": {
+ "shape": "S3Uri",
+ "documentation": "The Amazon S3 location to write output data.
"
+ },
+ "KmsKeyId": {
+ "shape": "KmsKeyId",
+ "documentation": "The AWS Key Management Service ID of the key used to encrypt the output data, if any.
If you use a KMS key ID or an alias of your master key, the Amazon SageMaker execution role must include permissions to call kms:Encrypt
. If you don't provide a KMS key ID, Amazon SageMaker uses the default KMS key for Amazon S3 for your role's account. Amazon SageMaker uses server-side encryption with KMS-managed keys for LabelingJobOutputConfig
. If you use a bucket policy with an s3:PutObject
permission that only allows objects with server-side encryption, set the condition key of s3:x-amz-server-side-encryption
to \"aws:kms\"
. For more information, see KMS-Managed Encryption Keys in the Amazon Simple Storage Service Developer Guide.
The KMS key policy must grant permission to the IAM role that you specify in your CreateLabelingJob
request. For more information, see Using Key Policies in AWS KMS in the AWS Key Management Service Developer Guide.
"
+ }
+ },
+ "documentation": "Output configuration information for a labeling job.
"
+ },
+ "LabelingJobResourceConfig": {
+ "type": "structure",
+ "members": {
+ "VolumeKmsKeyId": {
+ "shape": "KmsKeyId",
+ "documentation": "The AWS Key Management Service (AWS KMS) key that Amazon SageMaker uses to encrypt data on the storage volume attached to the ML compute instance(s) that run the training job. The VolumeKmsKeyId
can be any of the following formats:
-
// KMS Key ID
\"1234abcd-12ab-34cd-56ef-1234567890ab\"
-
// Amazon Resource Name (ARN) of a KMS Key
\"arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab\"
"
+ }
+ },
+ "documentation": "Provides configuration information for labeling jobs.
"
+ },
+ "LabelingJobS3DataSource": {
+ "type": "structure",
+ "required": [
+ "ManifestS3Uri"
+ ],
+ "members": {
+ "ManifestS3Uri": {
+ "shape": "S3Uri",
+ "documentation": "The Amazon S3 location of the manifest file that describes the input data objects.
"
+ }
+ },
+ "documentation": "The Amazon S3 location of the input data objects.
"
+ },
+ "LabelingJobStatus": {
"type": "string",
"enum": [
- "Name",
- "CreationTime"
+ "InProgress",
+ "Completed",
+ "Failed",
+ "Stopping",
+ "Stopped"
]
},
- "EndpointConfigSummary": {
+ "LabelingJobStoppingConditions": {
+ "type": "structure",
+ "members": {
+ "MaxHumanLabeledObjectCount": {
+ "shape": "MaxHumanLabeledObjectCount",
+ "documentation": "The maximum number of objects that can be labeled by human workers.
"
+ },
+ "MaxPercentageOfInputDatasetLabeled": {
+ "shape": "MaxPercentageOfInputDatasetLabeled",
+ "documentation": "The maximum number of input data objects that should be labeled.
"
+ }
+ },
+ "documentation": "A set of conditions for stopping a labeling job. If any of the conditions are met, the job is automatically stopped. You can use these conditions to control the cost of data labeling.
Labeling jobs fail after 30 days with an appropriate client error message.
"
+ },
+ "LabelingJobSummary": {
"type": "structure",
"required": [
- "EndpointConfigName",
- "EndpointConfigArn",
- "CreationTime"
+ "LabelingJobName",
+ "LabelingJobArn",
+ "CreationTime",
+ "LastModifiedTime",
+ "LabelingJobStatus",
+ "LabelCounters",
+ "WorkteamArn",
+ "PreHumanTaskLambdaArn"
],
"members": {
- "EndpointConfigName": {
- "shape": "EndpointConfigName",
- "documentation": "The name of the endpoint configuration.
"
+ "LabelingJobName": {
+ "shape": "LabelingJobName",
+ "documentation": "The name of the labeling job.
"
},
- "EndpointConfigArn": {
- "shape": "EndpointConfigArn",
- "documentation": "The Amazon Resource Name (ARN) of the endpoint configuration.
"
+ "LabelingJobArn": {
+ "shape": "LabelingJobArn",
+ "documentation": "The Amazon Resource Name (ARN) assigned to the labeling job when it was created.
"
},
"CreationTime": {
"shape": "Timestamp",
- "documentation": "A timestamp that shows when the endpoint configuration was created.
"
+ "documentation": "The date and time that the job was created (timestamp).
"
+ },
+ "LastModifiedTime": {
+ "shape": "Timestamp",
+ "documentation": "The date and time that the job was last modified (timestamp).
"
+ },
+ "LabelingJobStatus": {
+ "shape": "LabelingJobStatus",
+ "documentation": "The current status of the labeling job.
"
+ },
+ "LabelCounters": {
+ "shape": "LabelCounters",
+ "documentation": "Counts showing the progress of the labeling job.
"
+ },
+ "WorkteamArn": {
+ "shape": "WorkteamArn",
+ "documentation": "The Amazon Resource Name (ARN) of the work team assigned to the job.
"
+ },
+ "PreHumanTaskLambdaArn": {
+ "shape": "LambdaFunctionArn",
+ "documentation": "The Amazon Resource Name (ARN) of a Lambda function. The function is run before each data object is sent to a worker.
"
+ },
+ "AnnotationConsolidationLambdaArn": {
+ "shape": "LambdaFunctionArn",
+ "documentation": "The Amazon Resource Name (ARN) of the Lambda function used to consolidate the annotations from individual workers into a label for a data object. For more information, see Annotation Consolidation.
"
+ },
+ "FailureReason": {
+ "shape": "FailureReason",
+ "documentation": "If the LabelingJobStatus
field is Failed
, this field contains a description of the error.
"
+ },
+ "LabelingJobOutput": {
+ "shape": "LabelingJobOutput",
+ "documentation": "The location of the output produced by the labeling job.
"
+ },
+ "InputConfig": {
+ "shape": "LabelingJobInputConfig",
+ "documentation": "Input configuration for the labeling job.
"
}
},
- "documentation": "Provides summary information for an endpoint configuration.
"
+ "documentation": "Provides summary information about a labeling job.
"
},
- "EndpointConfigSummaryList": {
+ "LabelingJobSummaryList": {
"type": "list",
"member": {
- "shape": "EndpointConfigSummary"
+ "shape": "LabelingJobSummary"
}
},
- "EndpointName": {
+ "LambdaFunctionArn": {
"type": "string",
- "max": 63,
- "pattern": "^[a-zA-Z0-9](-*[a-zA-Z0-9])*"
+ "max": 2048,
+ "pattern": "arn:aws[a-z\\-]*:lambda:[a-z]{2}-[a-z]+-\\d{1}:\\d{12}:function:[a-zA-Z0-9-_\\.]+(:(\\$LATEST|[a-zA-Z0-9-_]+))?"
},
- "EndpointNameContains": {
- "type": "string",
- "max": 63,
- "pattern": "[a-zA-Z0-9-]+"
+ "LastModifiedTime": {
+ "type": "timestamp"
},
- "EndpointSortKey": {
- "type": "string",
- "enum": [
- "Name",
- "CreationTime",
- "Status"
- ]
+ "ListAlgorithmsInput": {
+ "type": "structure",
+ "members": {
+ "CreationTimeAfter": {
+ "shape": "CreationTime",
+ "documentation": "A filter that returns only algorithms created after the specified time (timestamp).
"
+ },
+ "CreationTimeBefore": {
+ "shape": "CreationTime",
+ "documentation": "A filter that returns only algorithms created before the specified time (timestamp).
"
+ },
+ "MaxResults": {
+ "shape": "MaxResults",
+ "documentation": "The maximum number of algorithms to return in the response.
"
+ },
+ "NameContains": {
+ "shape": "NameContains",
+ "documentation": "A string in the algorithm name. This filter returns only algorithms whose name contains the specified string.
"
+ },
+ "NextToken": {
+ "shape": "NextToken",
+ "documentation": "If the response to a previous ListAlgorithms
request was truncated, the response includes a NextToken
. To retrieve the next set of algorithms, use the token in the next request.
"
+ },
+ "SortBy": {
+ "shape": "AlgorithmSortBy",
+ "documentation": "The parameter by which to sort the results. The default is CreationTime
.
"
+ },
+ "SortOrder": {
+ "shape": "SortOrder",
+ "documentation": "The sort order for the results. The default is Ascending
.
"
+ }
+ }
},
- "EndpointStatus": {
- "type": "string",
- "enum": [
- "OutOfService",
- "Creating",
- "Updating",
- "SystemUpdating",
- "RollingBack",
- "InService",
- "Deleting",
- "Failed"
- ]
+ "ListAlgorithmsOutput": {
+ "type": "structure",
+ "required": [
+ "AlgorithmSummaryList"
+ ],
+ "members": {
+ "AlgorithmSummaryList": {
+ "shape": "AlgorithmSummaryList",
+ "documentation": ">An array of AlgorithmSummary
objects, each of which lists an algorithm.
"
+ },
+ "NextToken": {
+ "shape": "NextToken",
+ "documentation": "If the response is truncated, Amazon SageMaker returns this token. To retrieve the next set of algorithms, use it in the subsequent request.
"
+ }
+ }
+ },
+ "ListAppsRequest": {
+ "type": "structure",
+ "members": {
+ "NextToken": {
+ "shape": "NextToken",
+ "documentation": "If the previous response was truncated, you will receive this token. Use it in your next request to receive the next set of results.
"
+ },
+ "MaxResults": {
+ "shape": "MaxResults",
+ "documentation": "Returns a list up to a specified limit.
"
+ },
+ "SortOrder": {
+ "shape": "SortOrder",
+ "documentation": "The sort order for the results. The default is Ascending.
"
+ },
+ "SortBy": {
+ "shape": "AppSortKey",
+ "documentation": "The parameter by which to sort the results. The default is CreationTime.
"
+ },
+ "DomainIdEquals": {
+ "shape": "DomainId",
+ "documentation": "A parameter to search for the domain ID.
"
+ },
+ "UserProfileNameEquals": {
+ "shape": "UserProfileName",
+ "documentation": "A parameter to search by user profile name.
"
+ }
+ }
},
- "EndpointSummary": {
+ "ListAppsResponse": {
"type": "structure",
- "required": [
- "EndpointName",
- "EndpointArn",
- "CreationTime",
- "LastModifiedTime",
- "EndpointStatus"
- ],
"members": {
- "EndpointName": {
- "shape": "EndpointName",
- "documentation": "The name of the endpoint.
"
+ "Apps": {
+ "shape": "AppList",
+ "documentation": "The list of apps.
"
},
- "EndpointArn": {
- "shape": "EndpointArn",
- "documentation": "The Amazon Resource Name (ARN) of the endpoint.
"
+ "NextToken": {
+ "shape": "NextToken",
+ "documentation": "If the previous response was truncated, you will receive this token. Use it in your next request to receive the next set of results.
"
+ }
+ }
+ },
+ "ListAutoMLJobsRequest": {
+ "type": "structure",
+ "members": {
+ "CreationTimeAfter": {
+ "shape": "Timestamp",
+ "documentation": "Request a list of jobs, using a filter for time.
"
},
- "CreationTime": {
+ "CreationTimeBefore": {
"shape": "Timestamp",
- "documentation": "A timestamp that shows when the endpoint was created.
"
+ "documentation": "Request a list of jobs, using a filter for time.
"
},
- "LastModifiedTime": {
+ "LastModifiedTimeAfter": {
"shape": "Timestamp",
- "documentation": "A timestamp that shows when the endpoint was last modified.
"
+ "documentation": "Request a list of jobs, using a filter for time.
"
},
- "EndpointStatus": {
- "shape": "EndpointStatus",
- "documentation": "The status of the endpoint.
-
OutOfService
: Endpoint is not available to take incoming requests.
-
Creating
: CreateEndpoint is executing.
-
Updating
: UpdateEndpoint or UpdateEndpointWeightsAndCapacities is executing.
-
SystemUpdating
: Endpoint is undergoing maintenance and cannot be updated or deleted or re-scaled until it has completed. This maintenance operation does not change any customer-specified values such as VPC config, KMS encryption, model, instance type, or instance count.
-
RollingBack
: Endpoint fails to scale up or down or change its variant weight and is in the process of rolling back to its previous configuration. Once the rollback completes, endpoint returns to an InService
status. This transitional status only applies to an endpoint that has autoscaling enabled and is undergoing variant weight or capacity changes as part of an UpdateEndpointWeightsAndCapacities call or when the UpdateEndpointWeightsAndCapacities operation is called explicitly.
-
InService
: Endpoint is available to process incoming requests.
-
Deleting
: DeleteEndpoint is executing.
-
Failed
: Endpoint could not be created, updated, or re-scaled. Use DescribeEndpointOutput$FailureReason for information about the failure. DeleteEndpoint is the only operation that can be performed on a failed endpoint.
To get a list of endpoints with a specified status, use the ListEndpointsInput$StatusEquals filter.
"
+ "LastModifiedTimeBefore": {
+ "shape": "Timestamp",
+ "documentation": "Request a list of jobs, using a filter for time.
"
+ },
+ "NameContains": {
+ "shape": "AutoMLNameContains",
+ "documentation": "Request a list of jobs, using a search filter for name.
"
+ },
+ "StatusEquals": {
+ "shape": "AutoMLJobStatus",
+ "documentation": "Request a list of jobs, using a filter for status.
"
+ },
+ "SortOrder": {
+ "shape": "AutoMLSortOrder",
+ "documentation": "The sort order for the results. The default is Descending.
"
+ },
+ "SortBy": {
+ "shape": "AutoMLSortBy",
+ "documentation": "The parameter by which to sort the results. The default is AutoMLJobName.
"
+ },
+ "MaxResults": {
+ "shape": "AutoMLMaxResults",
+ "documentation": "Request a list of jobs up to a specified limit.
",
+ "box": true
+ },
+ "NextToken": {
+ "shape": "NextToken",
+ "documentation": "If the previous response was truncated, you will receive this token. Use it in your next request to receive the next set of results.
"
}
- },
- "documentation": "Provides summary information for an endpoint.
"
- },
- "EndpointSummaryList": {
- "type": "list",
- "member": {
- "shape": "EndpointSummary"
}
},
- "EntityDescription": {
- "type": "string",
- "max": 1024,
- "pattern": "[\\p{L}\\p{M}\\p{Z}\\p{S}\\p{N}\\p{P}]*"
- },
- "EntityName": {
- "type": "string",
- "max": 63,
- "min": 1,
- "pattern": "^[a-zA-Z0-9](-*[a-zA-Z0-9])*$"
- },
- "EnvironmentKey": {
- "type": "string",
- "max": 1024,
- "pattern": "[a-zA-Z_][a-zA-Z0-9_]*"
- },
- "EnvironmentMap": {
- "type": "map",
- "key": {
- "shape": "EnvironmentKey"
- },
- "value": {
- "shape": "EnvironmentValue"
- },
- "max": 16
- },
- "EnvironmentValue": {
- "type": "string",
- "max": 1024,
- "pattern": "[\\S\\s]*"
- },
- "FailureReason": {
- "type": "string",
- "max": 1024
- },
- "FileSystemAccessMode": {
- "type": "string",
- "enum": [
- "rw",
- "ro"
- ]
- },
- "FileSystemDataSource": {
+ "ListAutoMLJobsResponse": {
"type": "structure",
"required": [
- "FileSystemId",
- "FileSystemAccessMode",
- "FileSystemType",
- "DirectoryPath"
+ "AutoMLJobSummaries"
],
"members": {
- "FileSystemId": {
- "shape": "FileSystemId",
- "documentation": "The file system id.
"
- },
- "FileSystemAccessMode": {
- "shape": "FileSystemAccessMode",
- "documentation": "The access mode of the mount of the directory associated with the channel. A directory can be mounted either in ro
(read-only) or rw
(read-write) mode.
"
- },
- "FileSystemType": {
- "shape": "FileSystemType",
- "documentation": "The file system type.
"
+ "AutoMLJobSummaries": {
+ "shape": "AutoMLJobSummaries",
+ "documentation": "Returns a summary list of jobs.
"
},
- "DirectoryPath": {
- "shape": "DirectoryPath",
- "documentation": "The full path to the directory to associate with the channel.
"
+ "NextToken": {
+ "shape": "NextToken",
+ "documentation": "If the previous response was truncated, you will receive this token. Use it in your next request to receive the next set of results.
"
}
- },
- "documentation": "Specifies a file system data source for a channel.
"
- },
- "FileSystemId": {
- "type": "string",
- "min": 11,
- "pattern": ".*"
- },
- "FileSystemType": {
- "type": "string",
- "enum": [
- "EFS",
- "FSxLustre"
- ]
+ }
},
- "Filter": {
+ "ListCandidatesForAutoMLJobRequest": {
"type": "structure",
"required": [
- "Name"
+ "AutoMLJobName"
],
"members": {
- "Name": {
- "shape": "ResourcePropertyName",
- "documentation": "A property name. For example, TrainingJobName
. For the list of valid property names returned in a search result for each supported resource, see TrainingJob properties. You must specify a valid property name for the resource.
"
+ "AutoMLJobName": {
+ "shape": "AutoMLJobName",
+ "documentation": "List the Candidates created for the job by providing the job's name.
"
},
- "Operator": {
- "shape": "Operator",
- "documentation": "A Boolean binary operator that is used to evaluate the filter. The operator field contains one of the following values:
- Equals
-
The specified resource in Name
equals the specified Value
.
- NotEquals
-
The specified resource in Name
does not equal the specified Value
.
- GreaterThan
-
The specified resource in Name
is greater than the specified Value
. Not supported for text-based properties.
- GreaterThanOrEqualTo
-
The specified resource in Name
is greater than or equal to the specified Value
. Not supported for text-based properties.
- LessThan
-
The specified resource in Name
is less than the specified Value
. Not supported for text-based properties.
- LessThanOrEqualTo
-
The specified resource in Name
is less than or equal to the specified Value
. Not supported for text-based properties.
- Contains
-
Only supported for text-based properties. The word-list of the property contains the specified Value
. A SearchExpression
can include only one Contains
operator.
If you have specified a filter Value
, the default is Equals
.
"
+ "StatusEquals": {
+ "shape": "CandidateStatus",
+ "documentation": "List the Candidates for the job and filter by status.
"
},
- "Value": {
- "shape": "FilterValue",
- "documentation": "A value used with Resource
and Operator
to determine if objects satisfy the filter's condition. For numerical properties, Value
must be an integer or floating-point decimal. For timestamp properties, Value
must be an ISO 8601 date-time string of the following format: YYYY-mm-dd'T'HH:MM:SS
.
"
+ "CandidateNameEquals": {
+ "shape": "CandidateName",
+ "documentation": "List the Candidates for the job and filter by candidate name.
"
+ },
+ "SortOrder": {
+ "shape": "AutoMLSortOrder",
+ "documentation": "The sort order for the results. The default is Ascending.
"
+ },
+ "SortBy": {
+ "shape": "CandidateSortBy",
+ "documentation": "The parameter by which to sort the results. The default is Descending.
"
+ },
+ "MaxResults": {
+ "shape": "AutoMLMaxResults",
+ "documentation": "List the job's Candidates up to a specified limit.
",
+ "box": true
+ },
+ "NextToken": {
+ "shape": "NextToken",
+ "documentation": "If the previous response was truncated, you will receive this token. Use it in your next request to receive the next set of results.
"
}
- },
- "documentation": "A conditional statement for a search expression that includes a resource property, a Boolean operator, and a value.
If you don't specify an Operator
and a Value
, the filter searches for only the specified property. For example, defining a Filter
for the FailureReason
for the TrainingJob
Resource
searches for training job objects that have a value in the FailureReason
field.
If you specify a Value
, but not an Operator
, Amazon SageMaker uses the equals operator as the default.
In search, there are several property types:
- Metrics
-
To define a metric filter, enter a value using the form \"Metrics.<name>\"
, where <name>
is a metric name. For example, the following filter searches for training jobs with an \"accuracy\"
metric greater than \"0.9\"
:
{
\"Name\": \"Metrics.accuracy\",
\"Operator\": \"GREATER_THAN\",
\"Value\": \"0.9\"
}
- HyperParameters
-
To define a hyperparameter filter, enter a value with the form \"HyperParameters.<name>\"
. Decimal hyperparameter values are treated as a decimal in a comparison if the specified Value
is also a decimal value. If the specified Value
is an integer, the decimal hyperparameter values are treated as integers. For example, the following filter is satisfied by training jobs with a \"learning_rate\"
hyperparameter that is less than \"0.5\"
:
{
\"Name\": \"HyperParameters.learning_rate\",
\"Operator\": \"LESS_THAN\",
\"Value\": \"0.5\"
}
- Tags
-
To define a tag filter, enter a value with the form \"Tags.<key>\"
.
"
- },
- "FilterList": {
- "type": "list",
- "member": {
- "shape": "Filter"
- },
- "max": 20,
- "min": 1
- },
- "FilterValue": {
- "type": "string",
- "max": 1024,
- "min": 1,
- "pattern": ".+"
+ }
},
- "FinalHyperParameterTuningJobObjectiveMetric": {
+ "ListCandidatesForAutoMLJobResponse": {
"type": "structure",
"required": [
- "MetricName",
- "Value"
+ "Candidates"
],
"members": {
- "Type": {
- "shape": "HyperParameterTuningJobObjectiveType",
- "documentation": "Whether to minimize or maximize the objective metric. Valid values are Minimize and Maximize.
"
+ "Candidates": {
+ "shape": "AutoMLCandidates",
+ "documentation": "Summaries about the Candidates.
"
},
- "MetricName": {
- "shape": "MetricName",
- "documentation": "The name of the objective metric.
"
- },
- "Value": {
- "shape": "MetricValue",
- "documentation": "The value of the objective metric.
"
+ "NextToken": {
+ "shape": "NextToken",
+ "documentation": "If the previous response was truncated, you will receive this token. Use it in your next request to receive the next set of results.
"
}
- },
- "documentation": "Shows the final value for the objective metric for a training job that was launched by a hyperparameter tuning job. You define the objective metric in the HyperParameterTuningJobObjective
parameter of HyperParameterTuningJobConfig.
"
- },
- "FinalMetricDataList": {
- "type": "list",
- "member": {
- "shape": "MetricData"
- },
- "max": 40,
- "min": 0
- },
- "Float": {
- "type": "float"
- },
- "Framework": {
- "type": "string",
- "enum": [
- "TENSORFLOW",
- "MXNET",
- "ONNX",
- "PYTORCH",
- "XGBOOST"
- ]
+ }
},
- "GetSearchSuggestionsRequest": {
+ "ListCodeRepositoriesInput": {
"type": "structure",
- "required": [
- "Resource"
- ],
"members": {
- "Resource": {
- "shape": "ResourceType",
- "documentation": "The name of the Amazon SageMaker resource to Search for. The only valid Resource
value is TrainingJob
.
"
+ "CreationTimeAfter": {
+ "shape": "CreationTime",
+ "documentation": "A filter that returns only Git repositories that were created after the specified time.
"
+ },
+ "CreationTimeBefore": {
+ "shape": "CreationTime",
+ "documentation": "A filter that returns only Git repositories that were created before the specified time.
"
+ },
+ "LastModifiedTimeAfter": {
+ "shape": "Timestamp",
+ "documentation": "A filter that returns only Git repositories that were last modified after the specified time.
"
+ },
+ "LastModifiedTimeBefore": {
+ "shape": "Timestamp",
+ "documentation": "A filter that returns only Git repositories that were last modified before the specified time.
"
+ },
+ "MaxResults": {
+ "shape": "MaxResults",
+ "documentation": "The maximum number of Git repositories to return in the response.
"
+ },
+ "NameContains": {
+ "shape": "CodeRepositoryNameContains",
+ "documentation": "A string in the Git repositories name. This filter returns only repositories whose name contains the specified string.
"
+ },
+ "NextToken": {
+ "shape": "NextToken",
+ "documentation": "If the result of a ListCodeRepositoriesOutput
request was truncated, the response includes a NextToken
. To get the next set of Git repositories, use the token in the next request.
"
+ },
+ "SortBy": {
+ "shape": "CodeRepositorySortBy",
+ "documentation": "The field to sort results by. The default is Name
.
"
},
- "SuggestionQuery": {
- "shape": "SuggestionQuery",
- "documentation": "Limits the property names that are included in the response.
"
- }
- }
- },
- "GetSearchSuggestionsResponse": {
- "type": "structure",
- "members": {
- "PropertyNameSuggestions": {
- "shape": "PropertyNameSuggestionList",
- "documentation": "A list of property names for a Resource
that match a SuggestionQuery
.
"
+ "SortOrder": {
+ "shape": "CodeRepositorySortOrder",
+ "documentation": "The sort order for results. The default is Ascending
.
"
}
}
},
- "GitConfig": {
+ "ListCodeRepositoriesOutput": {
"type": "structure",
"required": [
- "RepositoryUrl"
+ "CodeRepositorySummaryList"
],
"members": {
- "RepositoryUrl": {
- "shape": "GitConfigUrl",
- "documentation": "The URL where the Git repository is located.
"
- },
- "Branch": {
- "shape": "Branch",
- "documentation": "The default branch for the Git repository.
"
+ "CodeRepositorySummaryList": {
+ "shape": "CodeRepositorySummaryList",
+ "documentation": "Gets a list of summaries of the Git repositories. Each summary specifies the following values for the repository:
-
Name
-
Amazon Resource Name (ARN)
-
Creation time
-
Last modified time
-
Configuration information, including the URL location of the repository and the ARN of the AWS Secrets Manager secret that contains the credentials used to access the repository.
"
},
- "SecretArn": {
- "shape": "SecretArn",
- "documentation": "The Amazon Resource Name (ARN) of the AWS Secrets Manager secret that contains the credentials used to access the git repository. The secret must have a staging label of AWSCURRENT
and must be in the following format:
{\"username\": UserName, \"password\": Password}
"
- }
- },
- "documentation": "Specifies configuration details for a Git repository in your AWS account.
"
- },
- "GitConfigForUpdate": {
- "type": "structure",
- "members": {
- "SecretArn": {
- "shape": "SecretArn",
- "documentation": "The Amazon Resource Name (ARN) of the AWS Secrets Manager secret that contains the credentials used to access the git repository. The secret must have a staging label of AWSCURRENT
and must be in the following format:
{\"username\": UserName, \"password\": Password}
"
+ "NextToken": {
+ "shape": "NextToken",
+ "documentation": "If the result of a ListCodeRepositoriesOutput
request was truncated, the response includes a NextToken
. To get the next set of Git repositories, use the token in the next request.
"
}
- },
- "documentation": "Specifies configuration details for a Git repository when the repository is updated.
"
- },
- "GitConfigUrl": {
- "type": "string",
- "pattern": "^https://([^/]+)/?(.*)$"
+ }
},
- "HumanTaskConfig": {
+ "ListCompilationJobsRequest": {
"type": "structure",
- "required": [
- "WorkteamArn",
- "UiConfig",
- "PreHumanTaskLambdaArn",
- "TaskTitle",
- "TaskDescription",
- "NumberOfHumanWorkersPerDataObject",
- "TaskTimeLimitInSeconds",
- "AnnotationConsolidationConfig"
- ],
"members": {
- "WorkteamArn": {
- "shape": "WorkteamArn",
- "documentation": "The Amazon Resource Name (ARN) of the work team assigned to complete the tasks.
"
- },
- "UiConfig": {
- "shape": "UiConfig",
- "documentation": "Information about the user interface that workers use to complete the labeling task.
"
- },
- "PreHumanTaskLambdaArn": {
- "shape": "LambdaFunctionArn",
- "documentation": "The Amazon Resource Name (ARN) of a Lambda function that is run before a data object is sent to a human worker. Use this function to provide input to a custom labeling job.
For the built-in bounding box, image classification, semantic segmentation, and text classification task types, Amazon SageMaker Ground Truth provides the following Lambda functions:
US East (Northern Virginia) (us-east-1):
-
arn:aws:lambda:us-east-1:432418664414:function:PRE-BoundingBox
-
arn:aws:lambda:us-east-1:432418664414:function:PRE-ImageMultiClass
-
arn:aws:lambda:us-east-1:432418664414:function:PRE-SemanticSegmentation
-
arn:aws:lambda:us-east-1:432418664414:function:PRE-TextMultiClass
-
arn:aws:lambda:us-east-1:432418664414:function:PRE-NamedEntityRecognition
US East (Ohio) (us-east-2):
-
arn:aws:lambda:us-east-2:266458841044:function:PRE-BoundingBox
-
arn:aws:lambda:us-east-2:266458841044:function:PRE-ImageMultiClass
-
arn:aws:lambda:us-east-2:266458841044:function:PRE-SemanticSegmentation
-
arn:aws:lambda:us-east-2:266458841044:function:PRE-TextMultiClass
-
arn:aws:lambda:us-east-2:266458841044:function:PRE-NamedEntityRecognition
US West (Oregon) (us-west-2):
-
arn:aws:lambda:us-west-2:081040173940:function:PRE-BoundingBox
-
arn:aws:lambda:us-west-2:081040173940:function:PRE-ImageMultiClass
-
arn:aws:lambda:us-west-2:081040173940:function:PRE-SemanticSegmentation
-
arn:aws:lambda:us-west-2:081040173940:function:PRE-TextMultiClass
-
arn:aws:lambda:us-west-2:081040173940:function:PRE-NamedEntityRecognition
Canada (Central) (ca-central-1):
-
arn:awslambda:ca-central-1:918755190332:function:PRE-BoundingBox
-
arn:awslambda:ca-central-1:918755190332:function:PRE-ImageMultiClass
-
arn:awslambda:ca-central-1:918755190332:function:PRE-SemanticSegmentation
-
arn:awslambda:ca-central-1:918755190332:function:PRE-TextMultiClass
-
arn:awslambda:ca-central-1:918755190332:function:PRE-NamedEntityRecognition
EU (Ireland) (eu-west-1):
-
arn:aws:lambda:eu-west-1:568282634449:function:PRE-BoundingBox
-
arn:aws:lambda:eu-west-1:568282634449:function:PRE-ImageMultiClass
-
arn:aws:lambda:eu-west-1:568282634449:function:PRE-SemanticSegmentation
-
arn:aws:lambda:eu-west-1:568282634449:function:PRE-TextMultiClass
-
arn:aws:lambda:eu-west-1:568282634449:function:PRE-NamedEntityRecognition
EU (London) (eu-west-2):
-
arn:awslambda:eu-west-2:487402164563:function:PRE-BoundingBox
-
arn:awslambda:eu-west-2:487402164563:function:PRE-ImageMultiClass
-
arn:awslambda:eu-west-2:487402164563:function:PRE-SemanticSegmentation
-
arn:awslambda:eu-west-2:487402164563:function:PRE-TextMultiClass
-
arn:awslambda:eu-west-2:487402164563:function:PRE-NamedEntityRecognition
EU Frankfurt (eu-central-1):
-
arn:awslambda:eu-central-1:203001061592:function:PRE-BoundingBox
-
arn:awslambda:eu-central-1:203001061592:function:PRE-ImageMultiClass
-
arn:awslambda:eu-central-1:203001061592:function:PRE-SemanticSegmentation
-
arn:awslambda:eu-central-1:203001061592:function:PRE-TextMultiClass
-
arn:awslambda:eu-central-1:203001061592:function:PRE-NamedEntityRecognition
Asia Pacific (Tokyo) (ap-northeast-1):
-
arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-BoundingBox
-
arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-ImageMultiClass
-
arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-SemanticSegmentation
-
arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-TextMultiClass
-
arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-NamedEntityRecognition
Asia Pacific (Seoul) (ap-northeast-2):
-
arn:awslambda:ap-northeast-2:845288260483:function:PRE-BoundingBox
-
arn:awslambda:ap-northeast-2:845288260483:function:PRE-ImageMultiClass
-
arn:awslambda:ap-northeast-2:845288260483:function:PRE-SemanticSegmentation
-
arn:awslambda:ap-northeast-2:845288260483:function:PRE-TextMultiClass
-
arn:awslambda:ap-northeast-2:845288260483:function:PRE-NamedEntityRecognition
Asia Pacific (Mumbai) (ap-south-1):
-
arn:awslambda:ap-south-1:565803892007:function:PRE-BoundingBox
-
arn:awslambda:ap-south-1:565803892007:function:PRE-ImageMultiClass
-
arn:awslambda:ap-south-1:565803892007:function:PRE-SemanticSegmentation
-
arn:awslambda:ap-south-1:565803892007:function:PRE-TextMultiClass
-
arn:awslambda:ap-south-1:565803892007:function:PRE-NamedEntityRecognition
Asia Pacific (Singapore) (ap-southeast-1):
-
arn:awslambda:ap-southeast-1:377565633583:function:PRE-BoundingBox
-
arn:awslambda:ap-southeast-1:377565633583:function:PRE-ImageMultiClass
-
arn:awslambda:ap-southeast-1:377565633583:function:PRE-SemanticSegmentation
-
arn:awslambda:ap-southeast-1:377565633583:function:PRE-TextMultiClass
-
arn:awslambda:ap-southeast-1:377565633583:function:PRE-NamedEntityRecognition
Asia Pacific (Sydney) (ap-southeast-2):
-
arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-BoundingBox
-
arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-ImageMultiClass
-
arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-SemanticSegmentation
-
arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-TextMultiClass
-
arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-NamedEntityRecognition
"
+ "NextToken": {
+ "shape": "NextToken",
+ "documentation": "If the result of the previous ListCompilationJobs
request was truncated, the response includes a NextToken
. To retrieve the next set of model compilation jobs, use the token in the next request.
"
},
- "TaskKeywords": {
- "shape": "TaskKeywords",
- "documentation": "Keywords used to describe the task so that workers on Amazon Mechanical Turk can discover the task.
"
+ "MaxResults": {
+ "shape": "MaxResults",
+ "documentation": "The maximum number of model compilation jobs to return in the response.
",
+ "box": true
},
- "TaskTitle": {
- "shape": "TaskTitle",
- "documentation": "A title for the task for your human workers.
"
+ "CreationTimeAfter": {
+ "shape": "CreationTime",
+ "documentation": "A filter that returns the model compilation jobs that were created after a specified time.
"
},
- "TaskDescription": {
- "shape": "TaskDescription",
- "documentation": "A description of the task for your human workers.
"
+ "CreationTimeBefore": {
+ "shape": "CreationTime",
+ "documentation": "A filter that returns the model compilation jobs that were created before a specified time.
"
},
- "NumberOfHumanWorkersPerDataObject": {
- "shape": "NumberOfHumanWorkersPerDataObject",
- "documentation": "The number of human workers that will label an object.
"
+ "LastModifiedTimeAfter": {
+ "shape": "LastModifiedTime",
+ "documentation": "A filter that returns the model compilation jobs that were modified after a specified time.
"
},
- "TaskTimeLimitInSeconds": {
- "shape": "TaskTimeLimitInSeconds",
- "documentation": "The amount of time that a worker has to complete a task.
"
+ "LastModifiedTimeBefore": {
+ "shape": "LastModifiedTime",
+ "documentation": "A filter that returns the model compilation jobs that were modified before a specified time.
"
},
- "TaskAvailabilityLifetimeInSeconds": {
- "shape": "TaskAvailabilityLifetimeInSeconds",
- "documentation": "The length of time that a task remains available for labeling by human workers. If you choose the Amazon Mechanical Turk workforce, the maximum is 12 hours (43200). For private and vendor workforces, the maximum is as listed.
"
+ "NameContains": {
+ "shape": "NameContains",
+ "documentation": "A filter that returns the model compilation jobs whose name contains a specified string.
"
},
- "MaxConcurrentTaskCount": {
- "shape": "MaxConcurrentTaskCount",
- "documentation": "Defines the maximum number of data objects that can be labeled by human workers at the same time. Each object may have more than one worker at one time.
"
+ "StatusEquals": {
+ "shape": "CompilationJobStatus",
+ "documentation": "A filter that retrieves model compilation jobs with a specific DescribeCompilationJobResponse$CompilationJobStatus status.
"
},
- "AnnotationConsolidationConfig": {
- "shape": "AnnotationConsolidationConfig",
- "documentation": "Configures how labels are consolidated across human workers.
"
+ "SortBy": {
+ "shape": "ListCompilationJobsSortBy",
+ "documentation": "The field by which to sort results. The default is CreationTime
.
"
},
- "PublicWorkforceTaskPrice": {
- "shape": "PublicWorkforceTaskPrice",
- "documentation": "The price that you pay for each task performed by an Amazon Mechanical Turk worker.
"
+ "SortOrder": {
+ "shape": "SortOrder",
+ "documentation": "The sort order for results. The default is Ascending
.
"
}
- },
- "documentation": "Information required for human workers to complete a labeling task.
"
+ }
},
- "HyperParameterAlgorithmSpecification": {
+ "ListCompilationJobsResponse": {
"type": "structure",
"required": [
- "TrainingInputMode"
+ "CompilationJobSummaries"
],
"members": {
- "TrainingImage": {
- "shape": "AlgorithmImage",
- "documentation": " The registry path of the Docker image that contains the training algorithm. For information about Docker registry paths for built-in algorithms, see Algorithms Provided by Amazon SageMaker: Common Parameters. Amazon SageMaker supports both registry/repository[:tag]
and registry/repository[@digest]
image path formats. For more information, see Using Your Own Algorithms with Amazon SageMaker.
"
- },
- "TrainingInputMode": {
- "shape": "TrainingInputMode",
- "documentation": "The input mode that the algorithm supports: File or Pipe. In File input mode, Amazon SageMaker downloads the training data from Amazon S3 to the storage volume that is attached to the training instance and mounts the directory to the Docker volume for the training container. In Pipe input mode, Amazon SageMaker streams data directly from Amazon S3 to the container.
If you specify File mode, make sure that you provision the storage volume that is attached to the training instance with enough capacity to accommodate the training data downloaded from Amazon S3, the model artifacts, and intermediate information.
For more information about input modes, see Algorithms.
"
- },
- "AlgorithmName": {
- "shape": "ArnOrName",
- "documentation": "The name of the resource algorithm to use for the hyperparameter tuning job. If you specify a value for this parameter, do not specify a value for TrainingImage
.
"
+ "CompilationJobSummaries": {
+ "shape": "CompilationJobSummaries",
+ "documentation": "An array of CompilationJobSummary objects, each describing a model compilation job.
"
},
- "MetricDefinitions": {
- "shape": "MetricDefinitionList",
- "documentation": "An array of MetricDefinition objects that specify the metrics that the algorithm emits.
"
+ "NextToken": {
+ "shape": "NextToken",
+ "documentation": "If the response is truncated, Amazon SageMaker returns this NextToken
. To retrieve the next set of model compilation jobs, use this token in the next request.
"
}
- },
- "documentation": "Specifies which training algorithm to use for training jobs that a hyperparameter tuning job launches and the metrics to monitor.
"
+ }
},
- "HyperParameterScalingType": {
+ "ListCompilationJobsSortBy": {
"type": "string",
"enum": [
- "Auto",
- "Linear",
- "Logarithmic",
- "ReverseLogarithmic"
+ "Name",
+ "CreationTime",
+ "Status"
]
},
- "HyperParameterSpecification": {
+ "ListDomainsRequest": {
"type": "structure",
- "required": [
- "Name",
- "Type"
- ],
"members": {
- "Name": {
- "shape": "ParameterName",
- "documentation": "The name of this hyperparameter. The name must be unique.
"
- },
- "Description": {
- "shape": "EntityDescription",
- "documentation": "A brief description of the hyperparameter.
"
- },
- "Type": {
- "shape": "ParameterType",
- "documentation": "The type of this hyperparameter. The valid types are Integer
, Continuous
, Categorical
, and FreeText
.
"
- },
- "Range": {
- "shape": "ParameterRange",
- "documentation": "The allowed range for this hyperparameter.
"
- },
- "IsTunable": {
- "shape": "Boolean",
- "documentation": "Indicates whether this hyperparameter is tunable in a hyperparameter tuning job.
"
- },
- "IsRequired": {
- "shape": "Boolean",
- "documentation": "Indicates whether this hyperparameter is required.
"
+ "NextToken": {
+ "shape": "NextToken",
+ "documentation": "If the previous response was truncated, you will receive this token. Use it in your next request to receive the next set of results.
"
},
- "DefaultValue": {
- "shape": "ParameterValue",
- "documentation": "The default value for this hyperparameter. If a default value is specified, a hyperparameter cannot be required.
"
+ "MaxResults": {
+ "shape": "MaxResults",
+ "documentation": "Returns a list up to a specified limit.
"
}
- },
- "documentation": "Defines a hyperparameter to be used by an algorithm.
"
- },
- "HyperParameterSpecifications": {
- "type": "list",
- "member": {
- "shape": "HyperParameterSpecification"
- },
- "max": 100,
- "min": 0
+ }
},
- "HyperParameterTrainingJobDefinition": {
+ "ListDomainsResponse": {
"type": "structure",
- "required": [
- "AlgorithmSpecification",
- "RoleArn",
- "OutputDataConfig",
- "ResourceConfig",
- "StoppingCondition"
- ],
"members": {
- "StaticHyperParameters": {
- "shape": "HyperParameters",
- "documentation": "Specifies the values of hyperparameters that do not change for the tuning job.
"
- },
- "AlgorithmSpecification": {
- "shape": "HyperParameterAlgorithmSpecification",
- "documentation": "The HyperParameterAlgorithmSpecification object that specifies the resource algorithm to use for the training jobs that the tuning job launches.
"
- },
- "RoleArn": {
- "shape": "RoleArn",
- "documentation": "The Amazon Resource Name (ARN) of the IAM role associated with the training jobs that the tuning job launches.
"
- },
- "InputDataConfig": {
- "shape": "InputDataConfig",
- "documentation": "An array of Channel objects that specify the input for the training jobs that the tuning job launches.
"
- },
- "VpcConfig": {
- "shape": "VpcConfig",
- "documentation": "The VpcConfig object that specifies the VPC that you want the training jobs that this hyperparameter tuning job launches to connect to. Control access to and from your training container by configuring the VPC. For more information, see Protect Training Jobs by Using an Amazon Virtual Private Cloud.
"
+ "Domains": {
+ "shape": "DomainList",
+ "documentation": "The list of domains.
"
},
- "OutputDataConfig": {
- "shape": "OutputDataConfig",
- "documentation": "Specifies the path to the Amazon S3 bucket where you store model artifacts from the training jobs that the tuning job launches.
"
+ "NextToken": {
+ "shape": "NextToken",
+ "documentation": "If the previous response was truncated, you will receive this token. Use it in your next request to receive the next set of results.
"
+ }
+ }
+ },
+ "ListEndpointConfigsInput": {
+ "type": "structure",
+ "members": {
+ "SortBy": {
+ "shape": "EndpointConfigSortKey",
+ "documentation": "The field to sort results by. The default is CreationTime
.
"
},
- "ResourceConfig": {
- "shape": "ResourceConfig",
- "documentation": "The resources, including the compute instances and storage volumes, to use for the training jobs that the tuning job launches.
Storage volumes store model artifacts and incremental states. Training algorithms might also use storage volumes for scratch space. If you want Amazon SageMaker to use the storage volume to store the training data, choose File
as the TrainingInputMode
in the algorithm specification. For distributed training algorithms, specify an instance count greater than 1.
"
+ "SortOrder": {
+ "shape": "OrderKey",
+ "documentation": "The sort order for results. The default is Descending
.
"
},
- "StoppingCondition": {
- "shape": "StoppingCondition",
- "documentation": "Specifies a limit to how long a model hyperparameter training job can run. It also specifies how long you are willing to wait for a managed spot training job to complete. When the job reaches the a limit, Amazon SageMaker ends the training job. Use this API to cap model training costs.
"
+ "NextToken": {
+ "shape": "PaginationToken",
+ "documentation": "If the result of the previous ListEndpointConfig
request was truncated, the response includes a NextToken
. To retrieve the next set of endpoint configurations, use the token in the next request.
"
},
- "EnableNetworkIsolation": {
- "shape": "Boolean",
- "documentation": "Isolates the training container. No inbound or outbound network calls can be made, except for calls between peers within a training cluster for distributed training. If network isolation is used for training jobs that are configured to use a VPC, Amazon SageMaker downloads and uploads customer data and model artifacts through the specified VPC, but the training container does not have network access.
The Semantic Segmentation built-in algorithm does not support network isolation.
"
+ "MaxResults": {
+ "shape": "MaxResults",
+ "documentation": "The maximum number of training jobs to return in the response.
"
},
- "EnableInterContainerTrafficEncryption": {
- "shape": "Boolean",
- "documentation": "To encrypt all communications between ML compute instances in distributed training, choose True
. Encryption provides greater security for distributed training, but training might take longer. How long it takes depends on the amount of communication between compute instances, especially if you use a deep learning algorithm in distributed training.
"
+ "NameContains": {
+ "shape": "EndpointConfigNameContains",
+ "documentation": "A string in the endpoint configuration name. This filter returns only endpoint configurations whose name contains the specified string.
"
},
- "EnableManagedSpotTraining": {
- "shape": "Boolean",
- "documentation": "A Boolean indicating whether managed spot training is enabled (True
) or not (False
).
"
+ "CreationTimeBefore": {
+ "shape": "Timestamp",
+ "documentation": "A filter that returns only endpoint configurations created before the specified time (timestamp).
"
},
- "CheckpointConfig": {
- "shape": "CheckpointConfig"
+ "CreationTimeAfter": {
+ "shape": "Timestamp",
+ "documentation": "A filter that returns only endpoint configurations with a creation time greater than or equal to the specified time (timestamp).
"
}
- },
- "documentation": "Defines the training jobs launched by a hyperparameter tuning job.
"
- },
- "HyperParameterTrainingJobSummaries": {
- "type": "list",
- "member": {
- "shape": "HyperParameterTrainingJobSummary"
}
},
- "HyperParameterTrainingJobSummary": {
+ "ListEndpointConfigsOutput": {
"type": "structure",
"required": [
- "TrainingJobName",
- "TrainingJobArn",
- "CreationTime",
- "TrainingJobStatus",
- "TunedHyperParameters"
+ "EndpointConfigs"
],
"members": {
- "TrainingJobName": {
- "shape": "TrainingJobName",
- "documentation": "The name of the training job.
"
+ "EndpointConfigs": {
+ "shape": "EndpointConfigSummaryList",
+ "documentation": "An array of endpoint configurations.
"
},
- "TrainingJobArn": {
- "shape": "TrainingJobArn",
- "documentation": "The Amazon Resource Name (ARN) of the training job.
"
+ "NextToken": {
+ "shape": "PaginationToken",
+ "documentation": " If the response is truncated, Amazon SageMaker returns this token. To retrieve the next set of endpoint configurations, use it in the subsequent request
"
+ }
+ }
+ },
+ "ListEndpointsInput": {
+ "type": "structure",
+ "members": {
+ "SortBy": {
+ "shape": "EndpointSortKey",
+ "documentation": "Sorts the list of results. The default is CreationTime
.
"
},
- "TuningJobName": {
- "shape": "HyperParameterTuningJobName",
- "documentation": "The HyperParameter tuning job that launched the training job.
"
+ "SortOrder": {
+ "shape": "OrderKey",
+ "documentation": "The sort order for results. The default is Descending
.
"
},
- "CreationTime": {
- "shape": "Timestamp",
- "documentation": "The date and time that the training job was created.
"
+ "NextToken": {
+ "shape": "PaginationToken",
+ "documentation": "If the result of a ListEndpoints
request was truncated, the response includes a NextToken
. To retrieve the next set of endpoints, use the token in the next request.
"
},
- "TrainingStartTime": {
- "shape": "Timestamp",
- "documentation": "The date and time that the training job started.
"
+ "MaxResults": {
+ "shape": "MaxResults",
+ "documentation": "The maximum number of endpoints to return in the response.
"
},
- "TrainingEndTime": {
- "shape": "Timestamp",
- "documentation": "Specifies the time when the training job ends on training instances. You are billed for the time interval between the value of TrainingStartTime
and this time. For successful jobs and stopped jobs, this is the time after model artifacts are uploaded. For failed jobs, this is the time when Amazon SageMaker detects a job failure.
"
+ "NameContains": {
+ "shape": "EndpointNameContains",
+ "documentation": "A string in endpoint names. This filter returns only endpoints whose name contains the specified string.
"
},
- "TrainingJobStatus": {
- "shape": "TrainingJobStatus",
- "documentation": "The status of the training job.
"
+ "CreationTimeBefore": {
+ "shape": "Timestamp",
+ "documentation": "A filter that returns only endpoints that were created before the specified time (timestamp).
"
},
- "TunedHyperParameters": {
- "shape": "HyperParameters",
- "documentation": "A list of the hyperparameters for which you specified ranges to search.
"
+ "CreationTimeAfter": {
+ "shape": "Timestamp",
+ "documentation": "A filter that returns only endpoints with a creation time greater than or equal to the specified time (timestamp).
"
},
- "FailureReason": {
- "shape": "FailureReason",
- "documentation": "The reason that the training job failed.
"
+ "LastModifiedTimeBefore": {
+ "shape": "Timestamp",
+ "documentation": " A filter that returns only endpoints that were modified before the specified timestamp.
"
},
- "FinalHyperParameterTuningJobObjectiveMetric": {
- "shape": "FinalHyperParameterTuningJobObjectiveMetric",
- "documentation": "The FinalHyperParameterTuningJobObjectiveMetric object that specifies the value of the objective metric of the tuning job that launched this training job.
"
+ "LastModifiedTimeAfter": {
+ "shape": "Timestamp",
+ "documentation": " A filter that returns only endpoints that were modified after the specified timestamp.
"
},
- "ObjectiveStatus": {
- "shape": "ObjectiveStatus",
- "documentation": "The status of the objective metric for the training job:
"
+ "StatusEquals": {
+ "shape": "EndpointStatus",
+ "documentation": " A filter that returns only endpoints with the specified status.
"
}
- },
- "documentation": "Specifies summary information about a training job.
"
- },
- "HyperParameterTuningJobArn": {
- "type": "string",
- "max": 256,
- "pattern": "arn:aws[a-z\\-]*:sagemaker:[a-z0-9\\-]*:[0-9]{12}:hyper-parameter-tuning-job/.*"
+ }
},
- "HyperParameterTuningJobConfig": {
+ "ListEndpointsOutput": {
"type": "structure",
"required": [
- "Strategy",
- "ResourceLimits"
+ "Endpoints"
],
"members": {
- "Strategy": {
- "shape": "HyperParameterTuningJobStrategyType",
- "documentation": "Specifies how hyperparameter tuning chooses the combinations of hyperparameter values to use for the training job it launches. To use the Bayesian search stategy, set this to Bayesian
. To randomly search, set it to Random
. For information about search strategies, see How Hyperparameter Tuning Works.
"
+ "Endpoints": {
+ "shape": "EndpointSummaryList",
+ "documentation": " An array or endpoint objects.
"
},
- "HyperParameterTuningJobObjective": {
- "shape": "HyperParameterTuningJobObjective",
- "documentation": "The HyperParameterTuningJobObjective object that specifies the objective metric for this tuning job.
"
+ "NextToken": {
+ "shape": "PaginationToken",
+ "documentation": " If the response is truncated, Amazon SageMaker returns this token. To retrieve the next set of training jobs, use it in the subsequent request.
"
+ }
+ }
+ },
+ "ListExperimentsRequest": {
+ "type": "structure",
+ "members": {
+ "CreatedAfter": {
+ "shape": "Timestamp",
+ "documentation": "A filter that returns only experiments created after the specified time.
"
},
- "ResourceLimits": {
- "shape": "ResourceLimits",
- "documentation": "The ResourceLimits object that specifies the maximum number of training jobs and parallel training jobs for this tuning job.
"
+ "CreatedBefore": {
+ "shape": "Timestamp",
+ "documentation": "A filter that returns only experiments created before the specified time.
"
},
- "ParameterRanges": {
- "shape": "ParameterRanges",
- "documentation": "The ParameterRanges object that specifies the ranges of hyperparameters that this tuning job searches.
"
+ "SortBy": {
+ "shape": "SortExperimentsBy",
+ "documentation": "The property used to sort results. The default value is CreationTime
.
"
},
- "TrainingJobEarlyStoppingType": {
- "shape": "TrainingJobEarlyStoppingType",
- "documentation": "Specifies whether to use early stopping for training jobs launched by the hyperparameter tuning job. This can be one of the following values (the default value is OFF
):
- OFF
-
Training jobs launched by the hyperparameter tuning job do not use early stopping.
- AUTO
-
Amazon SageMaker stops training jobs launched by the hyperparameter tuning job when they are unlikely to perform better than previously completed training jobs. For more information, see Stop Training Jobs Early.
"
+ "SortOrder": {
+ "shape": "SortOrder",
+ "documentation": "The sort order. The default value is Descending
.
"
+ },
+ "NextToken": {
+ "shape": "NextToken",
+ "documentation": "If the previous call to ListExperiments
didn't return the full set of experiments, the call returns a token for getting the next set of experiments.
"
+ },
+ "MaxResults": {
+ "shape": "MaxResults",
+ "documentation": "The maximum number of experiments to return in the response.
"
}
- },
- "documentation": "Configures a hyperparameter tuning job.
"
- },
- "HyperParameterTuningJobName": {
- "type": "string",
- "max": 32,
- "min": 1,
- "pattern": "^[a-zA-Z0-9](-*[a-zA-Z0-9])*"
+ }
},
- "HyperParameterTuningJobObjective": {
+ "ListExperimentsResponse": {
"type": "structure",
- "required": [
- "Type",
- "MetricName"
- ],
"members": {
- "Type": {
- "shape": "HyperParameterTuningJobObjectiveType",
- "documentation": "Whether to minimize or maximize the objective metric.
"
+ "ExperimentSummaries": {
+ "shape": "ExperimentSummaries",
+ "documentation": "A list of the summaries of your experiments.
"
},
- "MetricName": {
- "shape": "MetricName",
- "documentation": "The name of the metric to use for the objective metric.
"
+ "NextToken": {
+ "shape": "NextToken",
+ "documentation": "A token for getting the next set of experiments, if there are any.
"
}
- },
- "documentation": "Defines the objective metric for a hyperparameter tuning job. Hyperparameter tuning uses the value of this metric to evaluate the training jobs it launches, and returns the training job that results in either the highest or lowest value for this metric, depending on the value you specify for the Type
parameter.
"
- },
- "HyperParameterTuningJobObjectiveType": {
- "type": "string",
- "enum": [
- "Maximize",
- "Minimize"
- ]
- },
- "HyperParameterTuningJobObjectives": {
- "type": "list",
- "member": {
- "shape": "HyperParameterTuningJobObjective"
}
},
- "HyperParameterTuningJobSortByOptions": {
- "type": "string",
- "enum": [
- "Name",
- "Status",
- "CreationTime"
- ]
- },
- "HyperParameterTuningJobStatus": {
- "type": "string",
- "enum": [
- "Completed",
- "InProgress",
- "Failed",
- "Stopped",
- "Stopping"
- ]
- },
- "HyperParameterTuningJobStrategyType": {
- "type": "string",
- "documentation": "The strategy hyperparameter tuning uses to find the best combination of hyperparameters for your model. Currently, the only supported value is Bayesian
.
",
- "enum": [
- "Bayesian",
- "Random"
- ]
- },
- "HyperParameterTuningJobSummaries": {
- "type": "list",
- "member": {
- "shape": "HyperParameterTuningJobSummary"
+ "ListFlowDefinitionsRequest": {
+ "type": "structure",
+ "members": {
+ "CreationTimeAfter": {
+ "shape": "Timestamp",
+ "documentation": "A filter that returns only flow definitions with a creation time greater than or equal to the specified timestamp.
"
+ },
+ "CreationTimeBefore": {
+ "shape": "Timestamp",
+ "documentation": "A filter that returns only flow definitions that were created before the specified timestamp.
"
+ },
+ "SortOrder": {
+ "shape": "SortOrder",
+ "documentation": "An optional value that specifies whether you want the results sorted in Ascending
or Descending
order.
"
+ },
+ "NextToken": {
+ "shape": "NextToken",
+ "documentation": "A token to resume pagination.
"
+ },
+ "MaxResults": {
+ "shape": "MaxResults",
+ "documentation": "The total number of items to return. If the total number of available items is more than the value specified in MaxResults
, then a NextToken
will be provided in the output that you can use to resume pagination.
",
+ "box": true
+ }
}
},
- "HyperParameterTuningJobSummary": {
+ "ListFlowDefinitionsResponse": {
"type": "structure",
"required": [
- "HyperParameterTuningJobName",
- "HyperParameterTuningJobArn",
- "HyperParameterTuningJobStatus",
- "Strategy",
- "CreationTime",
- "TrainingJobStatusCounters",
- "ObjectiveStatusCounters"
+ "FlowDefinitionSummaries"
],
"members": {
- "HyperParameterTuningJobName": {
- "shape": "HyperParameterTuningJobName",
- "documentation": "The name of the tuning job.
"
- },
- "HyperParameterTuningJobArn": {
- "shape": "HyperParameterTuningJobArn",
- "documentation": "The Amazon Resource Name (ARN) of the tuning job.
"
- },
- "HyperParameterTuningJobStatus": {
- "shape": "HyperParameterTuningJobStatus",
- "documentation": "The status of the tuning job.
"
- },
- "Strategy": {
- "shape": "HyperParameterTuningJobStrategyType",
- "documentation": "Specifies the search strategy hyperparameter tuning uses to choose which hyperparameters to use for each iteration. Currently, the only valid value is Bayesian.
"
- },
- "CreationTime": {
- "shape": "Timestamp",
- "documentation": "The date and time that the tuning job was created.
"
+ "FlowDefinitionSummaries": {
+ "shape": "FlowDefinitionSummaries",
+ "documentation": "An array of objects describing the flow definitions.
"
},
- "HyperParameterTuningEndTime": {
+ "NextToken": {
+ "shape": "NextToken",
+ "documentation": "A token to resume pagination.
"
+ }
+ }
+ },
+ "ListHumanTaskUisRequest": {
+ "type": "structure",
+ "members": {
+ "CreationTimeAfter": {
"shape": "Timestamp",
- "documentation": "The date and time that the tuning job ended.
"
+ "documentation": "A filter that returns only human task user interfaces with a creation time greater than or equal to the specified timestamp.
"
},
- "LastModifiedTime": {
+ "CreationTimeBefore": {
"shape": "Timestamp",
- "documentation": "The date and time that the tuning job was modified.
"
+ "documentation": "A filter that returns only human task user interfaces that were created before the specified timestamp.
"
},
- "TrainingJobStatusCounters": {
- "shape": "TrainingJobStatusCounters",
- "documentation": "The TrainingJobStatusCounters object that specifies the numbers of training jobs, categorized by status, that this tuning job launched.
"
+ "SortOrder": {
+ "shape": "SortOrder",
+ "documentation": "An optional value that specifies whether you want the results sorted in Ascending
or Descending
order.
"
},
- "ObjectiveStatusCounters": {
- "shape": "ObjectiveStatusCounters",
- "documentation": "The ObjectiveStatusCounters object that specifies the numbers of training jobs, categorized by objective metric status, that this tuning job launched.
"
+ "NextToken": {
+ "shape": "NextToken",
+ "documentation": "A token to resume pagination.
"
},
- "ResourceLimits": {
- "shape": "ResourceLimits",
- "documentation": "The ResourceLimits object that specifies the maximum number of training jobs and parallel training jobs allowed for this tuning job.
"
+ "MaxResults": {
+ "shape": "MaxResults",
+ "documentation": "The total number of items to return. If the total number of available items is more than the value specified in MaxResults
, then a NextToken
will be provided in the output that you can use to resume pagination.
",
+ "box": true
}
- },
- "documentation": "Provides summary information about a hyperparameter tuning job.
"
+ }
},
- "HyperParameterTuningJobWarmStartConfig": {
+ "ListHumanTaskUisResponse": {
"type": "structure",
"required": [
- "ParentHyperParameterTuningJobs",
- "WarmStartType"
+ "HumanTaskUiSummaries"
],
"members": {
- "ParentHyperParameterTuningJobs": {
- "shape": "ParentHyperParameterTuningJobs",
- "documentation": "An array of hyperparameter tuning jobs that are used as the starting point for the new hyperparameter tuning job. For more information about warm starting a hyperparameter tuning job, see Using a Previous Hyperparameter Tuning Job as a Starting Point.
Hyperparameter tuning jobs created before October 1, 2018 cannot be used as parent jobs for warm start tuning jobs.
"
+ "HumanTaskUiSummaries": {
+ "shape": "HumanTaskUiSummaries",
+ "documentation": "An array of objects describing the human task user interfaces.
"
},
- "WarmStartType": {
- "shape": "HyperParameterTuningJobWarmStartType",
- "documentation": "Specifies one of the following:
- IDENTICAL_DATA_AND_ALGORITHM
-
The new hyperparameter tuning job uses the same input data and training image as the parent tuning jobs. You can change the hyperparameter ranges to search and the maximum number of training jobs that the hyperparameter tuning job launches. You cannot use a new version of the training algorithm, unless the changes in the new version do not affect the algorithm itself. For example, changes that improve logging or adding support for a different data format are allowed. You can also change hyperparameters from tunable to static, and from static to tunable, but the total number of static plus tunable hyperparameters must remain the same as it is in all parent jobs. The objective metric for the new tuning job must be the same as for all parent jobs.
- TRANSFER_LEARNING
-
The new hyperparameter tuning job can include input data, hyperparameter ranges, maximum number of concurrent training jobs, and maximum number of training jobs that are different than those of its parent hyperparameter tuning jobs. The training image can also be a different version from the version used in the parent hyperparameter tuning job. You can also change hyperparameters from tunable to static, and from static to tunable, but the total number of static plus tunable hyperparameters must remain the same as it is in all parent jobs. The objective metric for the new tuning job must be the same as for all parent jobs.
"
+ "NextToken": {
+ "shape": "NextToken",
+ "documentation": "A token to resume pagination.
"
}
- },
- "documentation": "Specifies the configuration for a hyperparameter tuning job that uses one or more previous hyperparameter tuning jobs as a starting point. The results of previous tuning jobs are used to inform which combinations of hyperparameters to search over in the new tuning job.
All training jobs launched by the new hyperparameter tuning job are evaluated by using the objective metric, and the training job that performs the best is compared to the best training jobs from the parent tuning jobs. From these, the training job that performs the best as measured by the objective metric is returned as the overall best training job.
All training jobs launched by parent hyperparameter tuning jobs and the new hyperparameter tuning jobs count against the limit of training jobs for the tuning job.
"
- },
- "HyperParameterTuningJobWarmStartType": {
- "type": "string",
- "enum": [
- "IdenticalDataAndAlgorithm",
- "TransferLearning"
- ]
- },
- "HyperParameters": {
- "type": "map",
- "key": {
- "shape": "ParameterKey"
- },
- "value": {
- "shape": "ParameterValue"
- },
- "max": 100,
- "min": 0
- },
- "Image": {
- "type": "string",
- "max": 255,
- "pattern": "[\\S]+"
- },
- "ImageDigest": {
- "type": "string",
- "max": 72,
- "pattern": "^[Ss][Hh][Aa]256:[0-9a-fA-F]{64}$"
+ }
},
- "InferenceSpecification": {
+ "ListHyperParameterTuningJobsRequest": {
"type": "structure",
- "required": [
- "Containers",
- "SupportedTransformInstanceTypes",
- "SupportedRealtimeInferenceInstanceTypes",
- "SupportedContentTypes",
- "SupportedResponseMIMETypes"
- ],
"members": {
- "Containers": {
- "shape": "ModelPackageContainerDefinitionList",
- "documentation": "The Amazon ECR registry path of the Docker image that contains the inference code.
"
+ "NextToken": {
+ "shape": "NextToken",
+ "documentation": "If the result of the previous ListHyperParameterTuningJobs
request was truncated, the response includes a NextToken
. To retrieve the next set of tuning jobs, use the token in the next request.
"
},
- "SupportedTransformInstanceTypes": {
- "shape": "TransformInstanceTypes",
- "documentation": "A list of the instance types on which a transformation job can be run or on which an endpoint can be deployed.
"
+ "MaxResults": {
+ "shape": "MaxResults",
+ "documentation": "The maximum number of tuning jobs to return. The default value is 10.
",
+ "box": true
},
- "SupportedRealtimeInferenceInstanceTypes": {
- "shape": "RealtimeInferenceInstanceTypes",
- "documentation": "A list of the instance types that are used to generate inferences in real-time.
"
+ "SortBy": {
+ "shape": "HyperParameterTuningJobSortByOptions",
+ "documentation": "The field to sort results by. The default is Name
.
"
},
- "SupportedContentTypes": {
- "shape": "ContentTypes",
- "documentation": "The supported MIME types for the input data.
"
+ "SortOrder": {
+ "shape": "SortOrder",
+ "documentation": "The sort order for results. The default is Ascending
.
"
},
- "SupportedResponseMIMETypes": {
- "shape": "ResponseMIMETypes",
- "documentation": "The supported MIME types for the output data.
"
+ "NameContains": {
+ "shape": "NameContains",
+ "documentation": "A string in the tuning job name. This filter returns only tuning jobs whose name contains the specified string.
"
+ },
+ "CreationTimeAfter": {
+ "shape": "Timestamp",
+ "documentation": "A filter that returns only tuning jobs that were created after the specified time.
"
+ },
+ "CreationTimeBefore": {
+ "shape": "Timestamp",
+ "documentation": "A filter that returns only tuning jobs that were created before the specified time.
"
+ },
+ "LastModifiedTimeAfter": {
+ "shape": "Timestamp",
+ "documentation": "A filter that returns only tuning jobs that were modified after the specified time.
"
+ },
+ "LastModifiedTimeBefore": {
+ "shape": "Timestamp",
+ "documentation": "A filter that returns only tuning jobs that were modified before the specified time.
"
+ },
+ "StatusEquals": {
+ "shape": "HyperParameterTuningJobStatus",
+ "documentation": "A filter that returns only tuning jobs with the specified status.
"
}
- },
- "documentation": "Defines how to perform inference generation after a training job is run.
"
+ }
},
- "InputConfig": {
+ "ListHyperParameterTuningJobsResponse": {
"type": "structure",
"required": [
- "S3Uri",
- "DataInputConfig",
- "Framework"
+ "HyperParameterTuningJobSummaries"
],
"members": {
- "S3Uri": {
- "shape": "S3Uri",
- "documentation": "The S3 path where the model artifacts, which result from model training, are stored. This path must point to a single gzip compressed tar archive (.tar.gz suffix).
"
- },
- "DataInputConfig": {
- "shape": "DataInputConfig",
- "documentation": "Specifies the name and shape of the expected data inputs for your trained model with a JSON dictionary form. The data inputs are InputConfig$Framework specific.
-
TensorFlow
: You must specify the name and shape (NHWC format) of the expected data inputs using a dictionary format for your trained model. The dictionary formats required for the console and CLI are different.
-
Examples for one input:
-
If using the console, {\"input\":[1,1024,1024,3]}
-
If using the CLI, {\\\"input\\\":[1,1024,1024,3]}
-
Examples for two inputs:
-
If using the console, {\"data1\": [1,28,28,1], \"data2\":[1,28,28,1]}
-
If using the CLI, {\\\"data1\\\": [1,28,28,1], \\\"data2\\\":[1,28,28,1]}
-
MXNET/ONNX
: You must specify the name and shape (NCHW format) of the expected data inputs in order using a dictionary format for your trained model. The dictionary formats required for the console and CLI are different.
-
Examples for one input:
-
If using the console, {\"data\":[1,3,1024,1024]}
-
If using the CLI, {\\\"data\\\":[1,3,1024,1024]}
-
Examples for two inputs:
-
If using the console, {\"var1\": [1,1,28,28], \"var2\":[1,1,28,28]}
-
If using the CLI, {\\\"var1\\\": [1,1,28,28], \\\"var2\\\":[1,1,28,28]}
-
PyTorch
: You can either specify the name and shape (NCHW format) of expected data inputs in order using a dictionary format for your trained model or you can specify the shape only using a list format. The dictionary formats required for the console and CLI are different. The list formats for the console and CLI are the same.
-
Examples for one input in dictionary format:
-
If using the console, {\"input0\":[1,3,224,224]}
-
If using the CLI, {\\\"input0\\\":[1,3,224,224]}
-
Example for one input in list format: [[1,3,224,224]]
-
Examples for two inputs in dictionary format:
-
If using the console, {\"input0\":[1,3,224,224], \"input1\":[1,3,224,224]}
-
If using the CLI, {\\\"input0\\\":[1,3,224,224], \\\"input1\\\":[1,3,224,224]}
-
Example for two inputs in list format: [[1,3,224,224], [1,3,224,224]]
-
XGBOOST
: input data name and shape are not needed.
"
+ "HyperParameterTuningJobSummaries": {
+ "shape": "HyperParameterTuningJobSummaries",
+ "documentation": "A list of HyperParameterTuningJobSummary objects that describe the tuning jobs that the ListHyperParameterTuningJobs
request returned.
"
},
- "Framework": {
- "shape": "Framework",
- "documentation": "Identifies the framework in which the model was trained. For example: TENSORFLOW.
"
+ "NextToken": {
+ "shape": "NextToken",
+ "documentation": "If the result of this ListHyperParameterTuningJobs
request was truncated, the response includes a NextToken
. To retrieve the next set of tuning jobs, use the token in the next request.
"
}
- },
- "documentation": "Contains information about the location of input model artifacts, the name and shape of the expected data inputs, and the framework in which the model was trained.
"
- },
- "InputDataConfig": {
- "type": "list",
- "member": {
- "shape": "Channel"
- },
- "max": 20,
- "min": 1
- },
- "InputModes": {
- "type": "list",
- "member": {
- "shape": "TrainingInputMode"
- },
- "min": 1
- },
- "InstanceType": {
- "type": "string",
- "enum": [
- "ml.t2.medium",
- "ml.t2.large",
- "ml.t2.xlarge",
- "ml.t2.2xlarge",
- "ml.t3.medium",
- "ml.t3.large",
- "ml.t3.xlarge",
- "ml.t3.2xlarge",
- "ml.m4.xlarge",
- "ml.m4.2xlarge",
- "ml.m4.4xlarge",
- "ml.m4.10xlarge",
- "ml.m4.16xlarge",
- "ml.m5.xlarge",
- "ml.m5.2xlarge",
- "ml.m5.4xlarge",
- "ml.m5.12xlarge",
- "ml.m5.24xlarge",
- "ml.c4.xlarge",
- "ml.c4.2xlarge",
- "ml.c4.4xlarge",
- "ml.c4.8xlarge",
- "ml.c5.xlarge",
- "ml.c5.2xlarge",
- "ml.c5.4xlarge",
- "ml.c5.9xlarge",
- "ml.c5.18xlarge",
- "ml.c5d.xlarge",
- "ml.c5d.2xlarge",
- "ml.c5d.4xlarge",
- "ml.c5d.9xlarge",
- "ml.c5d.18xlarge",
- "ml.p2.xlarge",
- "ml.p2.8xlarge",
- "ml.p2.16xlarge",
- "ml.p3.2xlarge",
- "ml.p3.8xlarge",
- "ml.p3.16xlarge"
- ]
+ }
},
- "IntegerParameterRange": {
+ "ListLabelingJobsForWorkteamRequest": {
"type": "structure",
"required": [
- "Name",
- "MinValue",
- "MaxValue"
+ "WorkteamArn"
],
"members": {
- "Name": {
- "shape": "ParameterKey",
- "documentation": "The name of the hyperparameter to search.
"
+ "WorkteamArn": {
+ "shape": "WorkteamArn",
+ "documentation": "The Amazon Resource Name (ARN) of the work team for which you want to see labeling jobs for.
"
},
- "MinValue": {
- "shape": "ParameterValue",
- "documentation": "The minimum value of the hyperparameter to search.
"
+ "MaxResults": {
+ "shape": "MaxResults",
+ "documentation": "The maximum number of labeling jobs to return in each page of the response.
"
},
- "MaxValue": {
- "shape": "ParameterValue",
- "documentation": "The maximum value of the hyperparameter to search.
"
+ "NextToken": {
+ "shape": "NextToken",
+ "documentation": "If the result of the previous ListLabelingJobsForWorkteam
request was truncated, the response includes a NextToken
. To retrieve the next set of labeling jobs, use the token in the next request.
"
},
- "ScalingType": {
- "shape": "HyperParameterScalingType",
- "documentation": "The scale that hyperparameter tuning uses to search the hyperparameter range. For information about choosing a hyperparameter scale, see Hyperparameter Scaling. One of the following values:
- Auto
-
Amazon SageMaker hyperparameter tuning chooses the best scale for the hyperparameter.
- Linear
-
Hyperparameter tuning searches the values in the hyperparameter range by using a linear scale.
- Logarithmic
-
Hyperparameter tuning searches the values in the hyperparameter range by using a logarithmic scale.
Logarithmic scaling works only for ranges that have only values greater than 0.
"
+ "CreationTimeAfter": {
+ "shape": "Timestamp",
+ "documentation": "A filter that returns only labeling jobs created after the specified time (timestamp).
"
+ },
+ "CreationTimeBefore": {
+ "shape": "Timestamp",
+ "documentation": "A filter that returns only labeling jobs created before the specified time (timestamp).
"
+ },
+ "JobReferenceCodeContains": {
+ "shape": "JobReferenceCodeContains",
+ "documentation": "A filter the limits jobs to only the ones whose job reference code contains the specified string.
"
+ },
+ "SortBy": {
+ "shape": "ListLabelingJobsForWorkteamSortByOptions",
+ "documentation": "The field to sort results by. The default is CreationTime
.
"
+ },
+ "SortOrder": {
+ "shape": "SortOrder",
+ "documentation": "The sort order for results. The default is Ascending
.
"
}
- },
- "documentation": "For a hyperparameter of the integer type, specifies the range that a hyperparameter tuning job searches.
"
+ }
},
- "IntegerParameterRangeSpecification": {
+ "ListLabelingJobsForWorkteamResponse": {
"type": "structure",
"required": [
- "MinValue",
- "MaxValue"
+ "LabelingJobSummaryList"
],
"members": {
- "MinValue": {
- "shape": "ParameterValue",
- "documentation": "The minimum integer value allowed.
"
+ "LabelingJobSummaryList": {
+ "shape": "LabelingJobForWorkteamSummaryList",
+ "documentation": "An array of LabelingJobSummary
objects, each describing a labeling job.
"
},
- "MaxValue": {
- "shape": "ParameterValue",
- "documentation": "The maximum integer value allowed.
"
+ "NextToken": {
+ "shape": "NextToken",
+ "documentation": "If the response is truncated, Amazon SageMaker returns this token. To retrieve the next set of labeling jobs, use it in the subsequent request.
"
}
- },
- "documentation": "Defines the possible values for an integer hyperparameter.
"
- },
- "IntegerParameterRanges": {
- "type": "list",
- "member": {
- "shape": "IntegerParameterRange"
- },
- "max": 20,
- "min": 0
- },
- "JobReferenceCode": {
- "type": "string",
- "min": 1,
- "pattern": ".+"
- },
- "JobReferenceCodeContains": {
- "type": "string",
- "max": 255,
- "min": 1,
- "pattern": ".+"
+ }
},
- "JoinSource": {
+ "ListLabelingJobsForWorkteamSortByOptions": {
"type": "string",
"enum": [
- "Input",
- "None"
+ "CreationTime"
]
},
- "JsonPath": {
- "type": "string",
- "max": 63,
- "min": 0
- },
- "KmsKeyId": {
- "type": "string",
- "max": 2048,
- "pattern": ".*"
- },
- "LabelAttributeName": {
- "type": "string",
- "max": 127,
- "min": 1,
- "pattern": "^[a-zA-Z0-9](-*[a-zA-Z0-9])*"
- },
- "LabelCounter": {
- "type": "integer",
- "min": 0
- },
- "LabelCounters": {
+ "ListLabelingJobsRequest": {
"type": "structure",
"members": {
- "TotalLabeled": {
- "shape": "LabelCounter",
- "documentation": "The total number of objects labeled.
"
+ "CreationTimeAfter": {
+ "shape": "Timestamp",
+ "documentation": "A filter that returns only labeling jobs created after the specified time (timestamp).
"
},
- "HumanLabeled": {
- "shape": "LabelCounter",
- "documentation": "The total number of objects labeled by a human worker.
"
+ "CreationTimeBefore": {
+ "shape": "Timestamp",
+ "documentation": "A filter that returns only labeling jobs created before the specified time (timestamp).
"
},
- "MachineLabeled": {
- "shape": "LabelCounter",
- "documentation": "The total number of objects labeled by automated data labeling.
"
+ "LastModifiedTimeAfter": {
+ "shape": "Timestamp",
+ "documentation": "A filter that returns only labeling jobs modified after the specified time (timestamp).
"
},
- "FailedNonRetryableError": {
- "shape": "LabelCounter",
- "documentation": "The total number of objects that could not be labeled due to an error.
"
+ "LastModifiedTimeBefore": {
+ "shape": "Timestamp",
+ "documentation": "A filter that returns only labeling jobs modified before the specified time (timestamp).
"
},
- "Unlabeled": {
- "shape": "LabelCounter",
- "documentation": "The total number of objects not yet labeled.
"
+ "MaxResults": {
+ "shape": "MaxResults",
+ "documentation": "The maximum number of labeling jobs to return in each page of the response.
"
+ },
+ "NextToken": {
+ "shape": "NextToken",
+ "documentation": "If the result of the previous ListLabelingJobs
request was truncated, the response includes a NextToken
. To retrieve the next set of labeling jobs, use the token in the next request.
"
+ },
+ "NameContains": {
+ "shape": "NameContains",
+ "documentation": "A string in the labeling job name. This filter returns only labeling jobs whose name contains the specified string.
"
+ },
+ "SortBy": {
+ "shape": "SortBy",
+ "documentation": "The field to sort results by. The default is CreationTime
.
"
+ },
+ "SortOrder": {
+ "shape": "SortOrder",
+ "documentation": "The sort order for results. The default is Ascending
.
"
+ },
+ "StatusEquals": {
+ "shape": "LabelingJobStatus",
+ "documentation": "A filter that retrieves only labeling jobs with a specific status.
"
}
- },
- "documentation": "Provides a breakdown of the number of objects labeled.
"
+ }
},
- "LabelCountersForWorkteam": {
+ "ListLabelingJobsResponse": {
"type": "structure",
"members": {
- "HumanLabeled": {
- "shape": "LabelCounter",
- "documentation": "The total number of data objects labeled by a human worker.
"
- },
- "PendingHuman": {
- "shape": "LabelCounter",
- "documentation": "The total number of data objects that need to be labeled by a human worker.
"
+ "LabelingJobSummaryList": {
+ "shape": "LabelingJobSummaryList",
+ "documentation": "An array of LabelingJobSummary
objects, each describing a labeling job.
"
},
- "Total": {
- "shape": "LabelCounter",
- "documentation": "The total number of tasks in the labeling job.
"
+ "NextToken": {
+ "shape": "NextToken",
+ "documentation": "If the response is truncated, Amazon SageMaker returns this token. To retrieve the next set of labeling jobs, use it in the subsequent request.
"
}
- },
- "documentation": "Provides counts for human-labeled tasks in the labeling job.
"
+ }
},
- "LabelingJobAlgorithmSpecificationArn": {
- "type": "string",
- "max": 2048,
- "pattern": "arn:.*"
+ "ListModelPackagesInput": {
+ "type": "structure",
+ "members": {
+ "CreationTimeAfter": {
+ "shape": "CreationTime",
+ "documentation": "A filter that returns only model packages created after the specified time (timestamp).
"
+ },
+ "CreationTimeBefore": {
+ "shape": "CreationTime",
+ "documentation": "A filter that returns only model packages created before the specified time (timestamp).
"
+ },
+ "MaxResults": {
+ "shape": "MaxResults",
+ "documentation": "The maximum number of model packages to return in the response.
"
+ },
+ "NameContains": {
+ "shape": "NameContains",
+ "documentation": "A string in the model package name. This filter returns only model packages whose name contains the specified string.
"
+ },
+ "NextToken": {
+ "shape": "NextToken",
+ "documentation": "If the response to a previous ListModelPackages
request was truncated, the response includes a NextToken
. To retrieve the next set of model packages, use the token in the next request.
"
+ },
+ "SortBy": {
+ "shape": "ModelPackageSortBy",
+ "documentation": "The parameter by which to sort the results. The default is CreationTime
.
"
+ },
+ "SortOrder": {
+ "shape": "SortOrder",
+ "documentation": "The sort order for the results. The default is Ascending
.
"
+ }
+ }
},
- "LabelingJobAlgorithmsConfig": {
+ "ListModelPackagesOutput": {
"type": "structure",
"required": [
- "LabelingJobAlgorithmSpecificationArn"
+ "ModelPackageSummaryList"
],
"members": {
- "LabelingJobAlgorithmSpecificationArn": {
- "shape": "LabelingJobAlgorithmSpecificationArn",
- "documentation": "Specifies the Amazon Resource Name (ARN) of the algorithm used for auto-labeling. You must select one of the following ARNs:
-
Image classification
arn:aws:sagemaker:region:027400017018:labeling-job-algorithm-specification/image-classification
-
Text classification
arn:aws:sagemaker:region:027400017018:labeling-job-algorithm-specification/text-classification
-
Object detection
arn:aws:sagemaker:region:027400017018:labeling-job-algorithm-specification/object-detection
-
Semantic Segmentation
arn:aws:sagemaker:region:027400017018:labeling-job-algorithm-specification/semantic-segmentation
"
+ "ModelPackageSummaryList": {
+ "shape": "ModelPackageSummaryList",
+ "documentation": "An array of ModelPackageSummary
objects, each of which lists a model package.
"
+ },
+ "NextToken": {
+ "shape": "NextToken",
+ "documentation": "If the response is truncated, Amazon SageMaker returns this token. To retrieve the next set of model packages, use it in the subsequent request.
"
+ }
+ }
+ },
+ "ListModelsInput": {
+ "type": "structure",
+ "members": {
+ "SortBy": {
+ "shape": "ModelSortKey",
+ "documentation": "Sorts the list of results. The default is CreationTime
.
"
+ },
+ "SortOrder": {
+ "shape": "OrderKey",
+ "documentation": "The sort order for results. The default is Descending
.
"
+ },
+ "NextToken": {
+ "shape": "PaginationToken",
+ "documentation": "If the response to a previous ListModels
request was truncated, the response includes a NextToken
. To retrieve the next set of models, use the token in the next request.
"
+ },
+ "MaxResults": {
+ "shape": "MaxResults",
+ "documentation": "The maximum number of models to return in the response.
"
+ },
+ "NameContains": {
+ "shape": "ModelNameContains",
+ "documentation": "A string in the training job name. This filter returns only models in the training job whose name contains the specified string.
"
},
- "InitialActiveLearningModelArn": {
- "shape": "ModelArn",
- "documentation": "At the end of an auto-label job Amazon SageMaker Ground Truth sends the Amazon Resource Nam (ARN) of the final model used for auto-labeling. You can use this model as the starting point for subsequent similar jobs by providing the ARN of the model here.
"
+ "CreationTimeBefore": {
+ "shape": "Timestamp",
+ "documentation": "A filter that returns only models created before the specified time (timestamp).
"
},
- "LabelingJobResourceConfig": {
- "shape": "LabelingJobResourceConfig",
- "documentation": "Provides configuration information for a labeling job.
"
- }
- },
- "documentation": "Provides configuration information for auto-labeling of your data objects. A LabelingJobAlgorithmsConfig
object must be supplied in order to use auto-labeling.
"
- },
- "LabelingJobArn": {
- "type": "string",
- "max": 2048,
- "pattern": "arn:aws[a-z\\-]*:sagemaker:[a-z0-9\\-]*:[0-9]{12}:labeling-job/.*"
- },
- "LabelingJobDataAttributes": {
- "type": "structure",
- "members": {
- "ContentClassifiers": {
- "shape": "ContentClassifiers",
- "documentation": "Declares that your content is free of personally identifiable information or adult content. Amazon SageMaker may restrict the Amazon Mechanical Turk workers that can view your task based on this information.
"
+ "CreationTimeAfter": {
+ "shape": "Timestamp",
+ "documentation": "A filter that returns only models with a creation time greater than or equal to the specified time (timestamp).
"
}
- },
- "documentation": "Attributes of the data specified by the customer. Use these to describe the data to be labeled.
"
+ }
},
- "LabelingJobDataSource": {
+ "ListModelsOutput": {
"type": "structure",
"required": [
- "S3DataSource"
+ "Models"
],
"members": {
- "S3DataSource": {
- "shape": "LabelingJobS3DataSource",
- "documentation": "The Amazon S3 location of the input data objects.
"
+ "Models": {
+ "shape": "ModelSummaryList",
+ "documentation": "An array of ModelSummary
objects, each of which lists a model.
"
+ },
+ "NextToken": {
+ "shape": "PaginationToken",
+ "documentation": " If the response is truncated, Amazon SageMaker returns this token. To retrieve the next set of models, use it in the subsequent request.
"
}
- },
- "documentation": "Provides information about the location of input data.
"
+ }
},
- "LabelingJobForWorkteamSummary": {
+ "ListMonitoringExecutionsRequest": {
"type": "structure",
- "required": [
- "JobReferenceCode",
- "WorkRequesterAccountId",
- "CreationTime"
- ],
"members": {
- "LabelingJobName": {
- "shape": "LabelingJobName",
- "documentation": "The name of the labeling job that the work team is assigned to.
"
+ "MonitoringScheduleName": {
+ "shape": "MonitoringScheduleName",
+ "documentation": "Name of a specific schedule to fetch jobs for.
"
},
- "JobReferenceCode": {
- "shape": "JobReferenceCode",
- "documentation": "A unique identifier for a labeling job. You can use this to refer to a specific labeling job.
"
+ "EndpointName": {
+ "shape": "EndpointName",
+ "documentation": "Name of a specific endpoint to fetch jobs for.
"
},
- "WorkRequesterAccountId": {
- "shape": "AccountId",
- "documentation": ""
+ "SortBy": {
+ "shape": "MonitoringExecutionSortKey",
+ "documentation": "Whether to sort results by Status
, CreationTime
, ScheduledTime
field. The default is CreationTime
.
"
},
- "CreationTime": {
+ "SortOrder": {
+ "shape": "SortOrder",
+ "documentation": "Whether to sort the results in Ascending
or Descending
order. The default is Descending
.
"
+ },
+ "NextToken": {
+ "shape": "NextToken",
+ "documentation": "The token returned if the response is truncated. To retrieve the next set of job executions, use it in the next request.
"
+ },
+ "MaxResults": {
+ "shape": "MaxResults",
+ "documentation": "The maximum number of jobs to return in the response. The default value is 10.
"
+ },
+ "ScheduledTimeBefore": {
"shape": "Timestamp",
- "documentation": "The date and time that the labeling job was created.
"
+ "documentation": "Filter for jobs scheduled before a specified time.
"
},
- "LabelCounters": {
- "shape": "LabelCountersForWorkteam",
- "documentation": "Provides information about the progress of a labeling job.
"
+ "ScheduledTimeAfter": {
+ "shape": "Timestamp",
+ "documentation": "Filter for jobs scheduled after a specified time.
"
},
- "NumberOfHumanWorkersPerDataObject": {
- "shape": "NumberOfHumanWorkersPerDataObject",
- "documentation": "The configured number of workers per data object.
"
+ "CreationTimeBefore": {
+ "shape": "Timestamp",
+ "documentation": "A filter that returns only jobs created before a specified time.
"
+ },
+ "CreationTimeAfter": {
+ "shape": "Timestamp",
+ "documentation": "A filter that returns only jobs created after a specified time.
"
+ },
+ "LastModifiedTimeBefore": {
+ "shape": "Timestamp",
+ "documentation": "A filter that returns only jobs modified after a specified time.
"
+ },
+ "LastModifiedTimeAfter": {
+ "shape": "Timestamp",
+ "documentation": "A filter that returns only jobs modified before a specified time.
"
+ },
+ "StatusEquals": {
+ "shape": "ExecutionStatus",
+ "documentation": "A filter that retrieves only jobs with a specific status.
"
}
- },
- "documentation": "Provides summary information for a work team.
"
- },
- "LabelingJobForWorkteamSummaryList": {
- "type": "list",
- "member": {
- "shape": "LabelingJobForWorkteamSummary"
}
},
- "LabelingJobInputConfig": {
+ "ListMonitoringExecutionsResponse": {
"type": "structure",
"required": [
- "DataSource"
+ "MonitoringExecutionSummaries"
],
"members": {
- "DataSource": {
- "shape": "LabelingJobDataSource",
- "documentation": "The location of the input data.
"
+ "MonitoringExecutionSummaries": {
+ "shape": "MonitoringExecutionSummaryList",
+ "documentation": "A JSON array in which each element is a summary for a monitoring execution.
"
},
- "DataAttributes": {
- "shape": "LabelingJobDataAttributes",
- "documentation": "Attributes of the data specified by the customer.
"
+ "NextToken": {
+ "shape": "NextToken",
+ "documentation": "If the response is truncated, Amazon SageMaker returns this token. To retrieve the next set of jobs, use it in the subsequent reques
"
}
- },
- "documentation": "Input configuration information for a labeling job.
"
- },
- "LabelingJobName": {
- "type": "string",
- "max": 63,
- "min": 1,
- "pattern": "^[a-zA-Z0-9](-*[a-zA-Z0-9])*"
+ }
},
- "LabelingJobOutput": {
+ "ListMonitoringSchedulesRequest": {
"type": "structure",
- "required": [
- "OutputDatasetS3Uri"
- ],
"members": {
- "OutputDatasetS3Uri": {
- "shape": "S3Uri",
- "documentation": "The Amazon S3 bucket location of the manifest file for labeled data.
"
+ "EndpointName": {
+ "shape": "EndpointName",
+ "documentation": "Name of a specific endpoint to fetch schedules for.
"
},
- "FinalActiveLearningModelArn": {
- "shape": "ModelArn",
- "documentation": "The Amazon Resource Name (ARN) for the most recent Amazon SageMaker model trained as part of automated data labeling.
"
+ "SortBy": {
+ "shape": "MonitoringScheduleSortKey",
+ "documentation": "Whether to sort results by Status
, CreationTime
, ScheduledTime
field. The default is CreationTime
.
"
+ },
+ "SortOrder": {
+ "shape": "SortOrder",
+ "documentation": "Whether to sort the results in Ascending
or Descending
order. The default is Descending
.
"
+ },
+ "NextToken": {
+ "shape": "NextToken",
+ "documentation": "The token returned if the response is truncated. To retrieve the next set of job executions, use it in the next request.
"
+ },
+ "MaxResults": {
+ "shape": "MaxResults",
+ "documentation": "The maximum number of jobs to return in the response. The default value is 10.
"
+ },
+ "NameContains": {
+ "shape": "NameContains",
+ "documentation": "Filter for monitoring schedules whose name contains a specified string.
"
+ },
+ "CreationTimeBefore": {
+ "shape": "Timestamp",
+ "documentation": "A filter that returns only monitoring schedules created before a specified time.
"
+ },
+ "CreationTimeAfter": {
+ "shape": "Timestamp",
+ "documentation": "A filter that returns only monitoring schedules created after a specified time.
"
+ },
+ "LastModifiedTimeBefore": {
+ "shape": "Timestamp",
+ "documentation": "A filter that returns only monitoring schedules modified before a specified time.
"
+ },
+ "LastModifiedTimeAfter": {
+ "shape": "Timestamp",
+ "documentation": "A filter that returns only monitoring schedules modified after a specified time.
"
+ },
+ "StatusEquals": {
+ "shape": "ScheduleStatus",
+ "documentation": "A filter that returns only monitoring schedules modified before a specified time.
"
}
- },
- "documentation": "Specifies the location of the output produced by the labeling job.
"
+ }
},
- "LabelingJobOutputConfig": {
+ "ListMonitoringSchedulesResponse": {
"type": "structure",
"required": [
- "S3OutputPath"
+ "MonitoringScheduleSummaries"
],
"members": {
- "S3OutputPath": {
- "shape": "S3Uri",
- "documentation": "The Amazon S3 location to write output data.
"
+ "MonitoringScheduleSummaries": {
+ "shape": "MonitoringScheduleSummaryList",
+ "documentation": "A JSON array in which each element is a summary for a monitoring schedule.
"
},
- "KmsKeyId": {
- "shape": "KmsKeyId",
- "documentation": "The AWS Key Management Service ID of the key used to encrypt the output data, if any.
If you use a KMS key ID or an alias of your master key, the Amazon SageMaker execution role must include permissions to call kms:Encrypt
. If you don't provide a KMS key ID, Amazon SageMaker uses the default KMS key for Amazon S3 for your role's account. Amazon SageMaker uses server-side encryption with KMS-managed keys for LabelingJobOutputConfig
. If you use a bucket policy with an s3:PutObject
permission that only allows objects with server-side encryption, set the condition key of s3:x-amz-server-side-encryption
to \"aws:kms\"
. For more information, see KMS-Managed Encryption Keys in the Amazon Simple Storage Service Developer Guide.
The KMS key policy must grant permission to the IAM role that you specify in your CreateLabelingJob
request. For more information, see Using Key Policies in AWS KMS in the AWS Key Management Service Developer Guide.
"
- }
- },
- "documentation": "Output configuration information for a labeling job.
"
- },
- "LabelingJobResourceConfig": {
- "type": "structure",
- "members": {
- "VolumeKmsKeyId": {
- "shape": "KmsKeyId",
- "documentation": "The AWS Key Management Service (AWS KMS) key that Amazon SageMaker uses to encrypt data on the storage volume attached to the ML compute instance(s) that run the training job. The VolumeKmsKeyId
can be any of the following formats:
-
// KMS Key ID
\"1234abcd-12ab-34cd-56ef-1234567890ab\"
-
// Amazon Resource Name (ARN) of a KMS Key
\"arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab\"
"
+ "NextToken": {
+ "shape": "NextToken",
+ "documentation": "If the response is truncated, Amazon SageMaker returns this token. To retrieve the next set of jobs, use it in the subsequent reques
"
}
- },
- "documentation": "Provides configuration information for labeling jobs.
"
+ }
},
- "LabelingJobS3DataSource": {
+ "ListNotebookInstanceLifecycleConfigsInput": {
"type": "structure",
- "required": [
- "ManifestS3Uri"
- ],
"members": {
- "ManifestS3Uri": {
- "shape": "S3Uri",
- "documentation": "The Amazon S3 location of the manifest file that describes the input data objects.
"
+ "NextToken": {
+ "shape": "NextToken",
+ "documentation": "If the result of a ListNotebookInstanceLifecycleConfigs
request was truncated, the response includes a NextToken
. To get the next set of lifecycle configurations, use the token in the next request.
"
+ },
+ "MaxResults": {
+ "shape": "MaxResults",
+ "documentation": "The maximum number of lifecycle configurations to return in the response.
"
+ },
+ "SortBy": {
+ "shape": "NotebookInstanceLifecycleConfigSortKey",
+ "documentation": "Sorts the list of results. The default is CreationTime
.
"
+ },
+ "SortOrder": {
+ "shape": "NotebookInstanceLifecycleConfigSortOrder",
+ "documentation": "The sort order for results.
"
+ },
+ "NameContains": {
+ "shape": "NotebookInstanceLifecycleConfigNameContains",
+ "documentation": "A string in the lifecycle configuration name. This filter returns only lifecycle configurations whose name contains the specified string.
"
+ },
+ "CreationTimeBefore": {
+ "shape": "CreationTime",
+ "documentation": "A filter that returns only lifecycle configurations that were created before the specified time (timestamp).
"
+ },
+ "CreationTimeAfter": {
+ "shape": "CreationTime",
+ "documentation": "A filter that returns only lifecycle configurations that were created after the specified time (timestamp).
"
+ },
+ "LastModifiedTimeBefore": {
+ "shape": "LastModifiedTime",
+ "documentation": "A filter that returns only lifecycle configurations that were modified before the specified time (timestamp).
"
+ },
+ "LastModifiedTimeAfter": {
+ "shape": "LastModifiedTime",
+ "documentation": "A filter that returns only lifecycle configurations that were modified after the specified time (timestamp).
"
}
- },
- "documentation": "The Amazon S3 location of the input data objects.
"
- },
- "LabelingJobStatus": {
- "type": "string",
- "enum": [
- "InProgress",
- "Completed",
- "Failed",
- "Stopping",
- "Stopped"
- ]
+ }
},
- "LabelingJobStoppingConditions": {
+ "ListNotebookInstanceLifecycleConfigsOutput": {
"type": "structure",
"members": {
- "MaxHumanLabeledObjectCount": {
- "shape": "MaxHumanLabeledObjectCount",
- "documentation": "The maximum number of objects that can be labeled by human workers.
"
+ "NextToken": {
+ "shape": "NextToken",
+ "documentation": "If the response is truncated, Amazon SageMaker returns this token. To get the next set of lifecycle configurations, use it in the next request.
"
},
- "MaxPercentageOfInputDatasetLabeled": {
- "shape": "MaxPercentageOfInputDatasetLabeled",
- "documentation": "The maximum number of input data objects that should be labeled.
"
+ "NotebookInstanceLifecycleConfigs": {
+ "shape": "NotebookInstanceLifecycleConfigSummaryList",
+ "documentation": "An array of NotebookInstanceLifecycleConfiguration
objects, each listing a lifecycle configuration.
"
}
- },
- "documentation": "A set of conditions for stopping a labeling job. If any of the conditions are met, the job is automatically stopped. You can use these conditions to control the cost of data labeling.
Labeling jobs fail after 30 days with an appropriate client error message.
"
+ }
},
- "LabelingJobSummary": {
+ "ListNotebookInstancesInput": {
"type": "structure",
- "required": [
- "LabelingJobName",
- "LabelingJobArn",
- "CreationTime",
- "LastModifiedTime",
- "LabelingJobStatus",
- "LabelCounters",
- "WorkteamArn",
- "PreHumanTaskLambdaArn"
- ],
"members": {
- "LabelingJobName": {
- "shape": "LabelingJobName",
- "documentation": "The name of the labeling job.
"
+ "NextToken": {
+ "shape": "NextToken",
+ "documentation": " If the previous call to the ListNotebookInstances
is truncated, the response includes a NextToken
. You can use this token in your subsequent ListNotebookInstances
request to fetch the next set of notebook instances.
You might specify a filter or a sort order in your request. When response is truncated, you must use the same values for the filer and sort order in the next request.
"
},
- "LabelingJobArn": {
- "shape": "LabelingJobArn",
- "documentation": "The Amazon Resource Name (ARN) assigned to the labeling job when it was created.
"
+ "MaxResults": {
+ "shape": "MaxResults",
+ "documentation": "The maximum number of notebook instances to return.
"
},
- "CreationTime": {
- "shape": "Timestamp",
- "documentation": "The date and time that the job was created (timestamp).
"
+ "SortBy": {
+ "shape": "NotebookInstanceSortKey",
+ "documentation": "The field to sort results by. The default is Name
.
"
},
- "LastModifiedTime": {
- "shape": "Timestamp",
- "documentation": "The date and time that the job was last modified (timestamp).
"
+ "SortOrder": {
+ "shape": "NotebookInstanceSortOrder",
+ "documentation": "The sort order for results.
"
},
- "LabelingJobStatus": {
- "shape": "LabelingJobStatus",
- "documentation": "The current status of the labeling job.
"
+ "NameContains": {
+ "shape": "NotebookInstanceNameContains",
+ "documentation": "A string in the notebook instances' name. This filter returns only notebook instances whose name contains the specified string.
"
},
- "LabelCounters": {
- "shape": "LabelCounters",
- "documentation": "Counts showing the progress of the labeling job.
"
+ "CreationTimeBefore": {
+ "shape": "CreationTime",
+ "documentation": "A filter that returns only notebook instances that were created before the specified time (timestamp).
"
},
- "WorkteamArn": {
- "shape": "WorkteamArn",
- "documentation": "The Amazon Resource Name (ARN) of the work team assigned to the job.
"
+ "CreationTimeAfter": {
+ "shape": "CreationTime",
+ "documentation": "A filter that returns only notebook instances that were created after the specified time (timestamp).
"
},
- "PreHumanTaskLambdaArn": {
- "shape": "LambdaFunctionArn",
- "documentation": "The Amazon Resource Name (ARN) of a Lambda function. The function is run before each data object is sent to a worker.
"
+ "LastModifiedTimeBefore": {
+ "shape": "LastModifiedTime",
+ "documentation": "A filter that returns only notebook instances that were modified before the specified time (timestamp).
"
},
- "AnnotationConsolidationLambdaArn": {
- "shape": "LambdaFunctionArn",
- "documentation": "The Amazon Resource Name (ARN) of the Lambda function used to consolidate the annotations from individual workers into a label for a data object. For more information, see Annotation Consolidation.
"
+ "LastModifiedTimeAfter": {
+ "shape": "LastModifiedTime",
+ "documentation": "A filter that returns only notebook instances that were modified after the specified time (timestamp).
"
},
- "FailureReason": {
- "shape": "FailureReason",
- "documentation": "If the LabelingJobStatus
field is Failed
, this field contains a description of the error.
"
+ "StatusEquals": {
+ "shape": "NotebookInstanceStatus",
+ "documentation": "A filter that returns only notebook instances with the specified status.
"
},
- "LabelingJobOutput": {
- "shape": "LabelingJobOutput",
- "documentation": "The location of the output produced by the labeling job.
"
+ "NotebookInstanceLifecycleConfigNameContains": {
+ "shape": "NotebookInstanceLifecycleConfigName",
+ "documentation": "A string in the name of a notebook instances lifecycle configuration associated with this notebook instance. This filter returns only notebook instances associated with a lifecycle configuration with a name that contains the specified string.
"
},
- "InputConfig": {
- "shape": "LabelingJobInputConfig",
- "documentation": "Input configuration for the labeling job.
"
+ "DefaultCodeRepositoryContains": {
+ "shape": "CodeRepositoryContains",
+ "documentation": "A string in the name or URL of a Git repository associated with this notebook instance. This filter returns only notebook instances associated with a git repository with a name that contains the specified string.
"
+ },
+ "AdditionalCodeRepositoryEquals": {
+ "shape": "CodeRepositoryNameOrUrl",
+ "documentation": "A filter that returns only notebook instances with associated with the specified git repository.
"
}
- },
- "documentation": "Provides summary information about a labeling job.
"
- },
- "LabelingJobSummaryList": {
- "type": "list",
- "member": {
- "shape": "LabelingJobSummary"
}
},
- "LambdaFunctionArn": {
- "type": "string",
- "max": 2048,
- "pattern": "arn:aws[a-z\\-]*:lambda:[a-z]{2}-[a-z]+-\\d{1}:\\d{12}:function:[a-zA-Z0-9-_\\.]+(:(\\$LATEST|[a-zA-Z0-9-_]+))?"
- },
- "LastModifiedTime": {
- "type": "timestamp"
+ "ListNotebookInstancesOutput": {
+ "type": "structure",
+ "members": {
+ "NextToken": {
+ "shape": "NextToken",
+ "documentation": "If the response to the previous ListNotebookInstances
request was truncated, Amazon SageMaker returns this token. To retrieve the next set of notebook instances, use the token in the next request.
"
+ },
+ "NotebookInstances": {
+ "shape": "NotebookInstanceSummaryList",
+ "documentation": "An array of NotebookInstanceSummary
objects, one for each notebook instance.
"
+ }
+ }
},
- "ListAlgorithmsInput": {
+ "ListProcessingJobsRequest": {
"type": "structure",
"members": {
"CreationTimeAfter": {
- "shape": "CreationTime",
- "documentation": "A filter that returns only algorithms created after the specified time (timestamp).
"
+ "shape": "Timestamp",
+ "documentation": "A filter that returns only processing jobs created after the specified time.
"
},
"CreationTimeBefore": {
- "shape": "CreationTime",
- "documentation": "A filter that returns only algorithms created before the specified time (timestamp).
"
+ "shape": "Timestamp",
+ "documentation": "A filter that returns only processing jobs created after the specified time.
"
},
- "MaxResults": {
- "shape": "MaxResults",
- "documentation": "The maximum number of algorithms to return in the response.
"
+ "LastModifiedTimeAfter": {
+ "shape": "Timestamp",
+ "documentation": "A filter that returns only processing jobs modified after the specified time.
"
+ },
+ "LastModifiedTimeBefore": {
+ "shape": "Timestamp",
+ "documentation": "A filter that returns only processing jobs modified before the specified time.
"
},
"NameContains": {
- "shape": "NameContains",
- "documentation": "A string in the algorithm name. This filter returns only algorithms whose name contains the specified string.
"
+ "shape": "String",
+ "documentation": "A string in the processing job name. This filter returns only processing jobs whose name contains the specified string.
"
},
- "NextToken": {
- "shape": "NextToken",
- "documentation": "If the response to a previous ListAlgorithms
request was truncated, the response includes a NextToken
. To retrieve the next set of algorithms, use the token in the next request.
"
+ "StatusEquals": {
+ "shape": "ProcessingJobStatus",
+ "documentation": "A filter that retrieves only processing jobs with a specific status.
"
},
"SortBy": {
- "shape": "AlgorithmSortBy",
- "documentation": "The parameter by which to sort the results. The default is CreationTime
.
"
+ "shape": "SortBy",
+ "documentation": "The field to sort results by. The default is CreationTime
.
"
},
"SortOrder": {
"shape": "SortOrder",
- "documentation": "The sort order for the results. The default is Ascending
.
"
+ "documentation": "The sort order for results. The default is Ascending
.
"
+ },
+ "NextToken": {
+ "shape": "NextToken",
+ "documentation": "If the result of the previous ListProcessingJobs
request was truncated, the response includes a NextToken
. To retrieve the next set of processing jobs, use the token in the next request.
"
+ },
+ "MaxResults": {
+ "shape": "MaxResults",
+ "documentation": "The maximum number of processing jobs to return in the response.
",
+ "box": true
}
}
},
- "ListAlgorithmsOutput": {
+ "ListProcessingJobsResponse": {
"type": "structure",
"required": [
- "AlgorithmSummaryList"
+ "ProcessingJobSummaries"
],
"members": {
- "AlgorithmSummaryList": {
- "shape": "AlgorithmSummaryList",
- "documentation": ">An array of AlgorithmSummary
objects, each of which lists an algorithm.
"
+ "ProcessingJobSummaries": {
+ "shape": "ProcessingJobSummaries",
+ "documentation": "An array of ProcessingJobSummary
objects, each listing a processing job.
"
},
"NextToken": {
"shape": "NextToken",
- "documentation": "If the response is truncated, Amazon SageMaker returns this token. To retrieve the next set of algorithms, use it in the subsequent request.
"
+ "documentation": "If the response is truncated, Amazon SageMaker returns this token. To retrieve the next set of processing jobs, use it in the subsequent request.
"
}
}
},
- "ListCodeRepositoriesInput": {
+ "ListSubscribedWorkteamsRequest": {
"type": "structure",
"members": {
- "CreationTimeAfter": {
- "shape": "CreationTime",
- "documentation": "A filter that returns only Git repositories that were created after the specified time.
"
+ "NameContains": {
+ "shape": "WorkteamName",
+ "documentation": "A string in the work team name. This filter returns only work teams whose name contains the specified string.
"
},
- "CreationTimeBefore": {
- "shape": "CreationTime",
- "documentation": "A filter that returns only Git repositories that were created before the specified time.
"
+ "NextToken": {
+ "shape": "NextToken",
+ "documentation": "If the result of the previous ListSubscribedWorkteams
request was truncated, the response includes a NextToken
. To retrieve the next set of labeling jobs, use the token in the next request.
"
},
- "LastModifiedTimeAfter": {
- "shape": "Timestamp",
- "documentation": "A filter that returns only Git repositories that were last modified after the specified time.
"
+ "MaxResults": {
+ "shape": "MaxResults",
+ "documentation": "The maximum number of work teams to return in each page of the response.
",
+ "box": true
+ }
+ }
+ },
+ "ListSubscribedWorkteamsResponse": {
+ "type": "structure",
+ "required": [
+ "SubscribedWorkteams"
+ ],
+ "members": {
+ "SubscribedWorkteams": {
+ "shape": "SubscribedWorkteams",
+ "documentation": "An array of Workteam
objects, each describing a work team.
"
},
- "LastModifiedTimeBefore": {
- "shape": "Timestamp",
- "documentation": "A filter that returns only Git repositories that were last modified before the specified time.
"
+ "NextToken": {
+ "shape": "NextToken",
+ "documentation": "If the response is truncated, Amazon SageMaker returns this token. To retrieve the next set of work teams, use it in the subsequent request.
"
+ }
+ }
+ },
+ "ListTagsInput": {
+ "type": "structure",
+ "required": [
+ "ResourceArn"
+ ],
+ "members": {
+ "ResourceArn": {
+ "shape": "ResourceArn",
+ "documentation": "The Amazon Resource Name (ARN) of the resource whose tags you want to retrieve.
"
+ },
+ "NextToken": {
+ "shape": "NextToken",
+ "documentation": " If the response to the previous ListTags
request is truncated, Amazon SageMaker returns this token. To retrieve the next set of tags, use it in the subsequent request.
"
},
"MaxResults": {
- "shape": "MaxResults",
- "documentation": "The maximum number of Git repositories to return in the response.
"
+ "shape": "ListTagsMaxResults",
+ "documentation": "Maximum number of tags to return.
"
+ }
+ }
+ },
+ "ListTagsMaxResults": {
+ "type": "integer",
+ "min": 50
+ },
+ "ListTagsOutput": {
+ "type": "structure",
+ "members": {
+ "Tags": {
+ "shape": "TagList",
+ "documentation": "An array of Tag
objects, each with a tag key and a value.
"
},
- "NameContains": {
- "shape": "CodeRepositoryNameContains",
- "documentation": "A string in the Git repositories name. This filter returns only repositories whose name contains the specified string.
"
+ "NextToken": {
+ "shape": "NextToken",
+ "documentation": " If response is truncated, Amazon SageMaker includes a token in the response. You can use this token in your subsequent request to fetch next set of tokens.
"
+ }
+ }
+ },
+ "ListTrainingJobsForHyperParameterTuningJobRequest": {
+ "type": "structure",
+ "required": [
+ "HyperParameterTuningJobName"
+ ],
+ "members": {
+ "HyperParameterTuningJobName": {
+ "shape": "HyperParameterTuningJobName",
+ "documentation": "The name of the tuning job whose training jobs you want to list.
"
},
"NextToken": {
"shape": "NextToken",
- "documentation": "If the result of a ListCodeRepositoriesOutput
request was truncated, the response includes a NextToken
. To get the next set of Git repositories, use the token in the next request.
"
+ "documentation": "If the result of the previous ListTrainingJobsForHyperParameterTuningJob
request was truncated, the response includes a NextToken
. To retrieve the next set of training jobs, use the token in the next request.
"
+ },
+ "MaxResults": {
+ "shape": "MaxResults",
+ "documentation": "The maximum number of training jobs to return. The default value is 10.
"
+ },
+ "StatusEquals": {
+ "shape": "TrainingJobStatus",
+ "documentation": "A filter that returns only training jobs with the specified status.
"
},
"SortBy": {
- "shape": "CodeRepositorySortBy",
- "documentation": "The field to sort results by. The default is Name
.
"
+ "shape": "TrainingJobSortByOptions",
+ "documentation": "The field to sort results by. The default is Name
.
If the value of this field is FinalObjectiveMetricValue
, any training jobs that did not return an objective metric are not listed.
"
},
"SortOrder": {
- "shape": "CodeRepositorySortOrder",
+ "shape": "SortOrder",
"documentation": "The sort order for results. The default is Ascending
.
"
}
}
},
- "ListCodeRepositoriesOutput": {
+ "ListTrainingJobsForHyperParameterTuningJobResponse": {
"type": "structure",
"required": [
- "CodeRepositorySummaryList"
+ "TrainingJobSummaries"
],
"members": {
- "CodeRepositorySummaryList": {
- "shape": "CodeRepositorySummaryList",
- "documentation": "Gets a list of summaries of the Git repositories. Each summary specifies the following values for the repository:
-
Name
-
Amazon Resource Name (ARN)
-
Creation time
-
Last modified time
-
Configuration information, including the URL location of the repository and the ARN of the AWS Secrets Manager secret that contains the credentials used to access the repository.
"
+ "TrainingJobSummaries": {
+ "shape": "HyperParameterTrainingJobSummaries",
+ "documentation": "A list of TrainingJobSummary objects that describe the training jobs that the ListTrainingJobsForHyperParameterTuningJob
request returned.
"
},
"NextToken": {
"shape": "NextToken",
- "documentation": "If the result of a ListCodeRepositoriesOutput
request was truncated, the response includes a NextToken
. To get the next set of Git repositories, use the token in the next request.
"
+ "documentation": "If the result of this ListTrainingJobsForHyperParameterTuningJob
request was truncated, the response includes a NextToken
. To retrieve the next set of training jobs, use the token in the next request.
"
}
}
},
- "ListCompilationJobsRequest": {
+ "ListTrainingJobsRequest": {
"type": "structure",
"members": {
"NextToken": {
"shape": "NextToken",
- "documentation": "If the result of the previous ListCompilationJobs
request was truncated, the response includes a NextToken
. To retrieve the next set of model compilation jobs, use the token in the next request.
"
+ "documentation": "If the result of the previous ListTrainingJobs
request was truncated, the response includes a NextToken
. To retrieve the next set of training jobs, use the token in the next request.
"
},
"MaxResults": {
"shape": "MaxResults",
- "documentation": "The maximum number of model compilation jobs to return in the response.
",
+ "documentation": "The maximum number of training jobs to return in the response.
",
"box": true
},
"CreationTimeAfter": {
- "shape": "CreationTime",
- "documentation": "A filter that returns the model compilation jobs that were created after a specified time.
"
+ "shape": "Timestamp",
+ "documentation": "A filter that returns only training jobs created after the specified time (timestamp).
"
},
"CreationTimeBefore": {
- "shape": "CreationTime",
- "documentation": "A filter that returns the model compilation jobs that were created before a specified time.
"
+ "shape": "Timestamp",
+ "documentation": "A filter that returns only training jobs created before the specified time (timestamp).
"
},
"LastModifiedTimeAfter": {
- "shape": "LastModifiedTime",
- "documentation": "A filter that returns the model compilation jobs that were modified after a specified time.
"
+ "shape": "Timestamp",
+ "documentation": "A filter that returns only training jobs modified after the specified time (timestamp).
"
},
"LastModifiedTimeBefore": {
- "shape": "LastModifiedTime",
- "documentation": "A filter that returns the model compilation jobs that were modified before a specified time.
"
+ "shape": "Timestamp",
+ "documentation": "A filter that returns only training jobs modified before the specified time (timestamp).
"
},
"NameContains": {
"shape": "NameContains",
- "documentation": "A filter that returns the model compilation jobs whose name contains a specified string.
"
+ "documentation": "A string in the training job name. This filter returns only training jobs whose name contains the specified string.
"
},
"StatusEquals": {
- "shape": "CompilationJobStatus",
- "documentation": "A filter that retrieves model compilation jobs with a specific DescribeCompilationJobResponse$CompilationJobStatus status.
"
+ "shape": "TrainingJobStatus",
+ "documentation": "A filter that retrieves only training jobs with a specific status.
"
},
"SortBy": {
- "shape": "ListCompilationJobsSortBy",
- "documentation": "The field by which to sort results. The default is CreationTime
.
"
+ "shape": "SortBy",
+ "documentation": "The field to sort results by. The default is CreationTime
.
"
},
"SortOrder": {
"shape": "SortOrder",
@@ -5450,1645 +10826,1944 @@
}
}
},
- "ListCompilationJobsResponse": {
+ "ListTrainingJobsResponse": {
"type": "structure",
"required": [
- "CompilationJobSummaries"
+ "TrainingJobSummaries"
],
"members": {
- "CompilationJobSummaries": {
- "shape": "CompilationJobSummaries",
- "documentation": "An array of CompilationJobSummary objects, each describing a model compilation job.
"
+ "TrainingJobSummaries": {
+ "shape": "TrainingJobSummaries",
+ "documentation": "An array of TrainingJobSummary
objects, each listing a training job.
"
},
"NextToken": {
"shape": "NextToken",
- "documentation": "If the response is truncated, Amazon SageMaker returns this NextToken
. To retrieve the next set of model compilation jobs, use this token in the next request.
"
+ "documentation": "If the response is truncated, Amazon SageMaker returns this token. To retrieve the next set of training jobs, use it in the subsequent request.
"
}
}
},
- "ListCompilationJobsSortBy": {
- "type": "string",
- "enum": [
- "Name",
- "CreationTime",
- "Status"
- ]
- },
- "ListEndpointConfigsInput": {
+ "ListTransformJobsRequest": {
"type": "structure",
"members": {
+ "CreationTimeAfter": {
+ "shape": "Timestamp",
+ "documentation": "A filter that returns only transform jobs created after the specified time.
"
+ },
+ "CreationTimeBefore": {
+ "shape": "Timestamp",
+ "documentation": "A filter that returns only transform jobs created before the specified time.
"
+ },
+ "LastModifiedTimeAfter": {
+ "shape": "Timestamp",
+ "documentation": "A filter that returns only transform jobs modified after the specified time.
"
+ },
+ "LastModifiedTimeBefore": {
+ "shape": "Timestamp",
+ "documentation": "A filter that returns only transform jobs modified before the specified time.
"
+ },
+ "NameContains": {
+ "shape": "NameContains",
+ "documentation": "A string in the transform job name. This filter returns only transform jobs whose name contains the specified string.
"
+ },
+ "StatusEquals": {
+ "shape": "TransformJobStatus",
+ "documentation": "A filter that retrieves only transform jobs with a specific status.
"
+ },
"SortBy": {
- "shape": "EndpointConfigSortKey",
+ "shape": "SortBy",
"documentation": "The field to sort results by. The default is CreationTime
.
"
},
"SortOrder": {
- "shape": "OrderKey",
+ "shape": "SortOrder",
"documentation": "The sort order for results. The default is Descending
.
"
},
"NextToken": {
- "shape": "PaginationToken",
- "documentation": "If the result of the previous ListEndpointConfig
request was truncated, the response includes a NextToken
. To retrieve the next set of endpoint configurations, use the token in the next request.
"
+ "shape": "NextToken",
+ "documentation": "If the result of the previous ListTransformJobs
request was truncated, the response includes a NextToken
. To retrieve the next set of transform jobs, use the token in the next request.
"
},
"MaxResults": {
"shape": "MaxResults",
- "documentation": "The maximum number of training jobs to return in the response.
"
- },
- "NameContains": {
- "shape": "EndpointConfigNameContains",
- "documentation": "A string in the endpoint configuration name. This filter returns only endpoint configurations whose name contains the specified string.
"
- },
- "CreationTimeBefore": {
- "shape": "Timestamp",
- "documentation": "A filter that returns only endpoint configurations created before the specified time (timestamp).
"
- },
- "CreationTimeAfter": {
- "shape": "Timestamp",
- "documentation": "A filter that returns only endpoint configurations with a creation time greater than or equal to the specified time (timestamp).
"
+ "documentation": "The maximum number of transform jobs to return in the response. The default value is 10
.
",
+ "box": true
}
}
},
- "ListEndpointConfigsOutput": {
+ "ListTransformJobsResponse": {
"type": "structure",
"required": [
- "EndpointConfigs"
+ "TransformJobSummaries"
],
"members": {
- "EndpointConfigs": {
- "shape": "EndpointConfigSummaryList",
- "documentation": "An array of endpoint configurations.
"
+ "TransformJobSummaries": {
+ "shape": "TransformJobSummaries",
+ "documentation": "An array of TransformJobSummary
objects.
"
},
"NextToken": {
- "shape": "PaginationToken",
- "documentation": " If the response is truncated, Amazon SageMaker returns this token. To retrieve the next set of endpoint configurations, use it in the subsequent request
"
+ "shape": "NextToken",
+ "documentation": "If the response is truncated, Amazon SageMaker returns this token. To retrieve the next set of transform jobs, use it in the next request.
"
}
}
},
- "ListEndpointsInput": {
+ "ListTrialComponentKey256": {
+ "type": "list",
+ "member": {
+ "shape": "TrialComponentKey256"
+ }
+ },
+ "ListTrialComponentsRequest": {
"type": "structure",
"members": {
- "SortBy": {
- "shape": "EndpointSortKey",
- "documentation": "Sorts the list of results. The default is CreationTime
.
"
- },
- "SortOrder": {
- "shape": "OrderKey",
- "documentation": "The sort order for results. The default is Descending
.
"
- },
- "NextToken": {
- "shape": "PaginationToken",
- "documentation": "If the result of a ListEndpoints
request was truncated, the response includes a NextToken
. To retrieve the next set of endpoints, use the token in the next request.
"
- },
- "MaxResults": {
- "shape": "MaxResults",
- "documentation": "The maximum number of endpoints to return in the response.
"
- },
- "NameContains": {
- "shape": "EndpointNameContains",
- "documentation": "A string in endpoint names. This filter returns only endpoints whose name contains the specified string.
"
+ "SourceArn": {
+ "shape": "String256",
+ "documentation": "A filter that returns only components that have the specified source Amazon Resource Name (ARN).
"
},
- "CreationTimeBefore": {
+ "CreatedAfter": {
"shape": "Timestamp",
- "documentation": "A filter that returns only endpoints that were created before the specified time (timestamp).
"
+ "documentation": "A filter that returns only components created after the specified time.
"
},
- "CreationTimeAfter": {
+ "CreatedBefore": {
"shape": "Timestamp",
- "documentation": "A filter that returns only endpoints with a creation time greater than or equal to the specified time (timestamp).
"
+ "documentation": "A filter that returns only components created before the specified time.
"
},
- "LastModifiedTimeBefore": {
- "shape": "Timestamp",
- "documentation": " A filter that returns only endpoints that were modified before the specified timestamp.
"
+ "SortBy": {
+ "shape": "SortTrialComponentsBy",
+ "documentation": "The property used to sort results. The default value is CreationTime
.
"
},
- "LastModifiedTimeAfter": {
- "shape": "Timestamp",
- "documentation": " A filter that returns only endpoints that were modified after the specified timestamp.
"
+ "SortOrder": {
+ "shape": "SortOrder",
+ "documentation": "The sort order. The default value is Descending
.
"
},
- "StatusEquals": {
- "shape": "EndpointStatus",
- "documentation": " A filter that returns only endpoints with the specified status.
"
+ "MaxResults": {
+ "shape": "MaxResults",
+ "documentation": "The maximum number of components to return in the response.
"
+ },
+ "NextToken": {
+ "shape": "NextToken",
+ "documentation": "If the previous call to ListTrialComponents
didn't return the full set of components, the call returns a token for getting the next set of components.
"
}
}
},
- "ListEndpointsOutput": {
+ "ListTrialComponentsResponse": {
"type": "structure",
- "required": [
- "Endpoints"
- ],
"members": {
- "Endpoints": {
- "shape": "EndpointSummaryList",
- "documentation": " An array or endpoint objects.
"
+ "TrialComponentSummaries": {
+ "shape": "TrialComponentSummaries",
+ "documentation": "A list of the summaries of your trial components.
"
},
"NextToken": {
- "shape": "PaginationToken",
- "documentation": " If the response is truncated, Amazon SageMaker returns this token. To retrieve the next set of training jobs, use it in the subsequent request.
"
+ "shape": "NextToken",
+ "documentation": "A token for getting the next set of components, if there are any.
"
}
}
},
- "ListHyperParameterTuningJobsRequest": {
+ "ListTrialsRequest": {
"type": "structure",
"members": {
- "NextToken": {
- "shape": "NextToken",
- "documentation": "If the result of the previous ListHyperParameterTuningJobs
request was truncated, the response includes a NextToken
. To retrieve the next set of tuning jobs, use the token in the next request.
"
+ "ExperimentName": {
+ "shape": "ExperimentEntityName",
+ "documentation": "A filter that returns only trials that are part of the specified experiment.
"
},
- "MaxResults": {
- "shape": "MaxResults",
- "documentation": "The maximum number of tuning jobs to return. The default value is 10.
",
- "box": true
+ "CreatedAfter": {
+ "shape": "Timestamp",
+ "documentation": "A filter that returns only trials created after the specified time.
"
+ },
+ "CreatedBefore": {
+ "shape": "Timestamp",
+ "documentation": "A filter that returns only trials created before the specified time.
"
},
"SortBy": {
- "shape": "HyperParameterTuningJobSortByOptions",
- "documentation": "The field to sort results by. The default is Name
.
"
+ "shape": "SortTrialsBy",
+ "documentation": "The property used to sort results. The default value is CreationTime
.
"
},
"SortOrder": {
"shape": "SortOrder",
- "documentation": "The sort order for results. The default is Ascending
.
"
- },
- "NameContains": {
- "shape": "NameContains",
- "documentation": "A string in the tuning job name. This filter returns only tuning jobs whose name contains the specified string.
"
- },
- "CreationTimeAfter": {
- "shape": "Timestamp",
- "documentation": "A filter that returns only tuning jobs that were created after the specified time.
"
- },
- "CreationTimeBefore": {
- "shape": "Timestamp",
- "documentation": "A filter that returns only tuning jobs that were created before the specified time.
"
- },
- "LastModifiedTimeAfter": {
- "shape": "Timestamp",
- "documentation": "A filter that returns only tuning jobs that were modified after the specified time.
"
+ "documentation": "The sort order. The default value is Descending
.
"
},
- "LastModifiedTimeBefore": {
- "shape": "Timestamp",
- "documentation": "A filter that returns only tuning jobs that were modified before the specified time.
"
+ "MaxResults": {
+ "shape": "MaxResults",
+ "documentation": "The maximum number of trials to return in the response.
"
},
- "StatusEquals": {
- "shape": "HyperParameterTuningJobStatus",
- "documentation": "A filter that returns only tuning jobs with the specified status.
"
+ "NextToken": {
+ "shape": "NextToken",
+ "documentation": "If the previous call to ListTrials
didn't return the full set of trials, the call returns a token for getting the next set of trials.
"
}
}
},
- "ListHyperParameterTuningJobsResponse": {
+ "ListTrialsResponse": {
"type": "structure",
- "required": [
- "HyperParameterTuningJobSummaries"
- ],
"members": {
- "HyperParameterTuningJobSummaries": {
- "shape": "HyperParameterTuningJobSummaries",
- "documentation": "A list of HyperParameterTuningJobSummary objects that describe the tuning jobs that the ListHyperParameterTuningJobs
request returned.
"
+ "TrialSummaries": {
+ "shape": "TrialSummaries",
+ "documentation": "A list of the summaries of your trials.
"
},
"NextToken": {
"shape": "NextToken",
- "documentation": "If the result of this ListHyperParameterTuningJobs
request was truncated, the response includes a NextToken
. To retrieve the next set of tuning jobs, use the token in the next request.
"
+ "documentation": "A token for getting the next set of trials, if there are any.
"
}
}
},
- "ListLabelingJobsForWorkteamRequest": {
+ "ListUserProfilesRequest": {
"type": "structure",
- "required": [
- "WorkteamArn"
- ],
"members": {
- "WorkteamArn": {
- "shape": "WorkteamArn",
- "documentation": "The Amazon Resource Name (ARN) of the work team for which you want to see labeling jobs for.
"
+ "NextToken": {
+ "shape": "NextToken",
+ "documentation": "If the previous response was truncated, you will receive this token. Use it in your next request to receive the next set of results.
"
},
"MaxResults": {
"shape": "MaxResults",
- "documentation": "The maximum number of labeling jobs to return in each page of the response.
"
+ "documentation": "Returns a list up to a specified limit.
"
},
- "NextToken": {
- "shape": "NextToken",
- "documentation": "If the result of the previous ListLabelingJobsForWorkteam
request was truncated, the response includes a NextToken
. To retrieve the next set of labeling jobs, use the token in the next request.
"
+ "SortOrder": {
+ "shape": "SortOrder",
+ "documentation": "The sort order for the results. The default is Ascending.
"
},
- "CreationTimeAfter": {
- "shape": "Timestamp",
- "documentation": "A filter that returns only labeling jobs created after the specified time (timestamp).
"
+ "SortBy": {
+ "shape": "UserProfileSortKey",
+ "documentation": "The parameter by which to sort the results. The default is CreationTime.
"
},
- "CreationTimeBefore": {
- "shape": "Timestamp",
- "documentation": "A filter that returns only labeling jobs created before the specified time (timestamp).
"
+ "DomainIdEquals": {
+ "shape": "DomainId",
+ "documentation": "A parameter by which to filter the results.
"
},
- "JobReferenceCodeContains": {
- "shape": "JobReferenceCodeContains",
- "documentation": "A filter the limits jobs to only the ones whose job reference code contains the specified string.
"
+ "UserProfileNameContains": {
+ "shape": "UserProfileName",
+ "documentation": "A parameter by which to filter the results.
"
+ }
+ }
+ },
+ "ListUserProfilesResponse": {
+ "type": "structure",
+ "members": {
+ "UserProfiles": {
+ "shape": "UserProfileList",
+ "documentation": "The list of user profiles.
"
},
+ "NextToken": {
+ "shape": "NextToken",
+ "documentation": "If the previous response was truncated, you will receive this token. Use it in your next request to receive the next set of results.
"
+ }
+ }
+ },
+ "ListWorkteamsRequest": {
+ "type": "structure",
+ "members": {
"SortBy": {
- "shape": "ListLabelingJobsForWorkteamSortByOptions",
+ "shape": "ListWorkteamsSortByOptions",
"documentation": "The field to sort results by. The default is CreationTime
.
"
},
"SortOrder": {
"shape": "SortOrder",
"documentation": "The sort order for results. The default is Ascending
.
"
+ },
+ "NameContains": {
+ "shape": "WorkteamName",
+ "documentation": "A string in the work team's name. This filter returns only work teams whose name contains the specified string.
"
+ },
+ "NextToken": {
+ "shape": "NextToken",
+ "documentation": "If the result of the previous ListWorkteams
request was truncated, the response includes a NextToken
. To retrieve the next set of labeling jobs, use the token in the next request.
"
+ },
+ "MaxResults": {
+ "shape": "MaxResults",
+ "documentation": "The maximum number of work teams to return in each page of the response.
",
+ "box": true
}
}
},
- "ListLabelingJobsForWorkteamResponse": {
+ "ListWorkteamsResponse": {
"type": "structure",
"required": [
- "LabelingJobSummaryList"
+ "Workteams"
],
"members": {
- "LabelingJobSummaryList": {
- "shape": "LabelingJobForWorkteamSummaryList",
- "documentation": "An array of LabelingJobSummary
objects, each describing a labeling job.
"
+ "Workteams": {
+ "shape": "Workteams",
+ "documentation": "An array of Workteam
objects, each describing a work team.
"
},
"NextToken": {
"shape": "NextToken",
- "documentation": "If the response is truncated, Amazon SageMaker returns this token. To retrieve the next set of labeling jobs, use it in the subsequent request.
"
+ "documentation": "If the response is truncated, Amazon SageMaker returns this token. To retrieve the next set of work teams, use it in the subsequent request.
"
}
}
},
- "ListLabelingJobsForWorkteamSortByOptions": {
+ "ListWorkteamsSortByOptions": {
"type": "string",
"enum": [
- "CreationTime"
+ "Name",
+ "CreateDate"
]
},
- "ListLabelingJobsRequest": {
+ "MaxAutoMLJobRuntimeInSeconds": {
+ "type": "integer",
+ "min": 1
+ },
+ "MaxCandidates": {
+ "type": "integer",
+ "min": 1
+ },
+ "MaxConcurrentTaskCount": {
+ "type": "integer",
+ "max": 1000,
+ "min": 1
+ },
+ "MaxConcurrentTransforms": {
+ "type": "integer",
+ "min": 0
+ },
+ "MaxHumanLabeledObjectCount": {
+ "type": "integer",
+ "min": 1
+ },
+ "MaxNumberOfTrainingJobs": {
+ "type": "integer",
+ "min": 1
+ },
+ "MaxParallelTrainingJobs": {
+ "type": "integer",
+ "min": 1
+ },
+ "MaxPayloadInMB": {
+ "type": "integer",
+ "min": 0
+ },
+ "MaxPercentageOfInputDatasetLabeled": {
+ "type": "integer",
+ "max": 100,
+ "min": 1
+ },
+ "MaxResults": {
+ "type": "integer",
+ "max": 100,
+ "min": 1
+ },
+ "MaxRuntimeInSeconds": {
+ "type": "integer",
+ "min": 1
+ },
+ "MaxRuntimePerTrainingJobInSeconds": {
+ "type": "integer",
+ "min": 1
+ },
+ "MaxWaitTimeInSeconds": {
+ "type": "integer",
+ "min": 1
+ },
+ "MediaType": {
+ "type": "string",
+ "max": 64,
+ "pattern": "^[\\w]+\\/[\\w+]+$"
+ },
+ "MemberDefinition": {
"type": "structure",
"members": {
- "CreationTimeAfter": {
- "shape": "Timestamp",
- "documentation": "A filter that returns only labeling jobs created after the specified time (timestamp).
"
- },
- "CreationTimeBefore": {
- "shape": "Timestamp",
- "documentation": "A filter that returns only labeling jobs created before the specified time (timestamp).
"
+ "CognitoMemberDefinition": {
+ "shape": "CognitoMemberDefinition",
+ "documentation": "The Amazon Cognito user group that is part of the work team.
"
+ }
+ },
+ "documentation": "Defines the Amazon Cognito user group that is part of a work team.
"
+ },
+ "MemberDefinitions": {
+ "type": "list",
+ "member": {
+ "shape": "MemberDefinition"
+ },
+ "max": 10,
+ "min": 1
+ },
+ "MetricData": {
+ "type": "structure",
+ "members": {
+ "MetricName": {
+ "shape": "MetricName",
+ "documentation": "The name of the metric.
"
},
- "LastModifiedTimeAfter": {
- "shape": "Timestamp",
- "documentation": "A filter that returns only labeling jobs modified after the specified time (timestamp).
"
+ "Value": {
+ "shape": "Float",
+ "documentation": "The value of the metric.
"
},
- "LastModifiedTimeBefore": {
+ "Timestamp": {
"shape": "Timestamp",
- "documentation": "A filter that returns only labeling jobs modified before the specified time (timestamp).
"
- },
- "MaxResults": {
- "shape": "MaxResults",
- "documentation": "The maximum number of labeling jobs to return in each page of the response.
"
- },
- "NextToken": {
- "shape": "NextToken",
- "documentation": "If the result of the previous ListLabelingJobs
request was truncated, the response includes a NextToken
. To retrieve the next set of labeling jobs, use the token in the next request.
"
- },
- "NameContains": {
- "shape": "NameContains",
- "documentation": "A string in the labeling job name. This filter returns only labeling jobs whose name contains the specified string.
"
- },
- "SortBy": {
- "shape": "SortBy",
- "documentation": "The field to sort results by. The default is CreationTime
.
"
- },
- "SortOrder": {
- "shape": "SortOrder",
- "documentation": "The sort order for results. The default is Ascending
.
"
- },
- "StatusEquals": {
- "shape": "LabelingJobStatus",
- "documentation": "A filter that retrieves only labeling jobs with a specific status.
"
+ "documentation": "The date and time that the algorithm emitted the metric.
"
}
- }
+ },
+ "documentation": "The name, value, and date and time of a metric that was emitted to Amazon CloudWatch.
"
},
- "ListLabelingJobsResponse": {
+ "MetricDefinition": {
"type": "structure",
+ "required": [
+ "Name",
+ "Regex"
+ ],
"members": {
- "LabelingJobSummaryList": {
- "shape": "LabelingJobSummaryList",
- "documentation": "An array of LabelingJobSummary
objects, each describing a labeling job.
"
+ "Name": {
+ "shape": "MetricName",
+ "documentation": "The name of the metric.
"
},
- "NextToken": {
- "shape": "NextToken",
- "documentation": "If the response is truncated, Amazon SageMaker returns this token. To retrieve the next set of labeling jobs, use it in the subsequent request.
"
+ "Regex": {
+ "shape": "MetricRegex",
+ "documentation": "A regular expression that searches the output of a training job and gets the value of the metric. For more information about using regular expressions to define metrics, see Defining Objective Metrics.
"
}
- }
+ },
+ "documentation": "Specifies a metric that the training algorithm writes to stderr
or stdout
. Amazon SageMakerhyperparameter tuning captures all defined metrics. You specify one metric that a hyperparameter tuning job uses as its objective metric to choose the best training job.
"
+ },
+ "MetricDefinitionList": {
+ "type": "list",
+ "member": {
+ "shape": "MetricDefinition"
+ },
+ "max": 40,
+ "min": 0
+ },
+ "MetricName": {
+ "type": "string",
+ "max": 255,
+ "min": 1,
+ "pattern": ".+"
+ },
+ "MetricRegex": {
+ "type": "string",
+ "max": 500,
+ "min": 1,
+ "pattern": ".+"
+ },
+ "MetricValue": {
+ "type": "float"
+ },
+ "ModelArn": {
+ "type": "string",
+ "max": 2048,
+ "min": 20,
+ "pattern": "arn:aws[a-z\\-]*:sagemaker:[a-z0-9\\-]*:[0-9]{12}:model/.*"
+ },
+ "ModelArtifacts": {
+ "type": "structure",
+ "required": [
+ "S3ModelArtifacts"
+ ],
+ "members": {
+ "S3ModelArtifacts": {
+ "shape": "S3Uri",
+ "documentation": "The path of the S3 object that contains the model artifacts. For example, s3://bucket-name/keynameprefix/model.tar.gz
.
"
+ }
+ },
+ "documentation": "Provides information about the location that is configured for storing model artifacts.
"
+ },
+ "ModelName": {
+ "type": "string",
+ "max": 63,
+ "pattern": "^[a-zA-Z0-9](-*[a-zA-Z0-9])*"
+ },
+ "ModelNameContains": {
+ "type": "string",
+ "max": 63,
+ "pattern": "[a-zA-Z0-9-]+"
+ },
+ "ModelPackageArn": {
+ "type": "string",
+ "max": 2048,
+ "min": 1,
+ "pattern": "arn:aws[a-z\\-]*:sagemaker:[a-z0-9\\-]*:[0-9]{12}:model-package/.*"
},
- "ListModelPackagesInput": {
+ "ModelPackageContainerDefinition": {
"type": "structure",
+ "required": [
+ "Image"
+ ],
"members": {
- "CreationTimeAfter": {
- "shape": "CreationTime",
- "documentation": "A filter that returns only model packages created after the specified time (timestamp).
"
- },
- "CreationTimeBefore": {
- "shape": "CreationTime",
- "documentation": "A filter that returns only model packages created before the specified time (timestamp).
"
- },
- "MaxResults": {
- "shape": "MaxResults",
- "documentation": "The maximum number of model packages to return in the response.
"
+ "ContainerHostname": {
+ "shape": "ContainerHostname",
+ "documentation": "The DNS host name for the Docker container.
"
},
- "NameContains": {
- "shape": "NameContains",
- "documentation": "A string in the model package name. This filter returns only model packages whose name contains the specified string.
"
+ "Image": {
+ "shape": "Image",
+ "documentation": "The Amazon EC2 Container Registry (Amazon ECR) path where inference code is stored.
If you are using your own custom algorithm instead of an algorithm provided by Amazon SageMaker, the inference code must meet Amazon SageMaker requirements. Amazon SageMaker supports both registry/repository[:tag]
and registry/repository[@digest]
image path formats. For more information, see Using Your Own Algorithms with Amazon SageMaker.
"
},
- "NextToken": {
- "shape": "NextToken",
- "documentation": "If the response to a previous ListModelPackages
request was truncated, the response includes a NextToken
. To retrieve the next set of model packages, use the token in the next request.
"
+ "ImageDigest": {
+ "shape": "ImageDigest",
+ "documentation": "An MD5 hash of the training algorithm that identifies the Docker image used for training.
"
},
- "SortBy": {
- "shape": "ModelPackageSortBy",
- "documentation": "The parameter by which to sort the results. The default is CreationTime
.
"
+ "ModelDataUrl": {
+ "shape": "Url",
+ "documentation": "The Amazon S3 path where the model artifacts, which result from model training, are stored. This path must point to a single gzip
compressed tar archive (.tar.gz
suffix).
"
},
- "SortOrder": {
- "shape": "SortOrder",
- "documentation": "The sort order for the results. The default is Ascending
.
"
+ "ProductId": {
+ "shape": "ProductId",
+ "documentation": "The AWS Marketplace product ID of the model package.
"
}
- }
+ },
+ "documentation": "Describes the Docker container for the model package.
"
},
- "ListModelPackagesOutput": {
+ "ModelPackageContainerDefinitionList": {
+ "type": "list",
+ "member": {
+ "shape": "ModelPackageContainerDefinition"
+ },
+ "max": 1,
+ "min": 1
+ },
+ "ModelPackageSortBy": {
+ "type": "string",
+ "enum": [
+ "Name",
+ "CreationTime"
+ ]
+ },
+ "ModelPackageStatus": {
+ "type": "string",
+ "enum": [
+ "Pending",
+ "InProgress",
+ "Completed",
+ "Failed",
+ "Deleting"
+ ]
+ },
+ "ModelPackageStatusDetails": {
"type": "structure",
"required": [
- "ModelPackageSummaryList"
+ "ValidationStatuses"
],
"members": {
- "ModelPackageSummaryList": {
- "shape": "ModelPackageSummaryList",
- "documentation": "An array of ModelPackageSummary
objects, each of which lists a model package.
"
+ "ValidationStatuses": {
+ "shape": "ModelPackageStatusItemList",
+ "documentation": "The validation status of the model package.
"
},
- "NextToken": {
- "shape": "NextToken",
- "documentation": "If the response is truncated, Amazon SageMaker returns this token. To retrieve the next set of model packages, use it in the subsequent request.
"
+ "ImageScanStatuses": {
+ "shape": "ModelPackageStatusItemList",
+ "documentation": "The status of the scan of the Docker image container for the model package.
"
}
- }
+ },
+ "documentation": "Specifies the validation and image scan statuses of the model package.
"
},
- "ListModelsInput": {
+ "ModelPackageStatusItem": {
"type": "structure",
+ "required": [
+ "Name",
+ "Status"
+ ],
"members": {
- "SortBy": {
- "shape": "ModelSortKey",
- "documentation": "Sorts the list of results. The default is CreationTime
.
"
+ "Name": {
+ "shape": "EntityName",
+ "documentation": "The name of the model package for which the overall status is being reported.
"
},
- "SortOrder": {
- "shape": "OrderKey",
- "documentation": "The sort order for results. The default is Descending
.
"
+ "Status": {
+ "shape": "DetailedModelPackageStatus",
+ "documentation": "The current status.
"
},
- "NextToken": {
- "shape": "PaginationToken",
- "documentation": "If the response to a previous ListModels
request was truncated, the response includes a NextToken
. To retrieve the next set of models, use the token in the next request.
"
+ "FailureReason": {
+ "shape": "String",
+ "documentation": "if the overall status is Failed
, the reason for the failure.
"
+ }
+ },
+ "documentation": "Represents the overall status of a model package.
"
+ },
+ "ModelPackageStatusItemList": {
+ "type": "list",
+ "member": {
+ "shape": "ModelPackageStatusItem"
+ }
+ },
+ "ModelPackageSummary": {
+ "type": "structure",
+ "required": [
+ "ModelPackageName",
+ "ModelPackageArn",
+ "CreationTime",
+ "ModelPackageStatus"
+ ],
+ "members": {
+ "ModelPackageName": {
+ "shape": "EntityName",
+ "documentation": "The name of the model package.
"
},
- "MaxResults": {
- "shape": "MaxResults",
- "documentation": "The maximum number of models to return in the response.
"
+ "ModelPackageArn": {
+ "shape": "ModelPackageArn",
+ "documentation": "The Amazon Resource Name (ARN) of the model package.
"
},
- "NameContains": {
- "shape": "ModelNameContains",
- "documentation": "A string in the training job name. This filter returns only models in the training job whose name contains the specified string.
"
+ "ModelPackageDescription": {
+ "shape": "EntityDescription",
+ "documentation": "A brief description of the model package.
"
},
- "CreationTimeBefore": {
- "shape": "Timestamp",
- "documentation": "A filter that returns only models created before the specified time (timestamp).
"
+ "CreationTime": {
+ "shape": "CreationTime",
+ "documentation": "A timestamp that shows when the model package was created.
"
},
- "CreationTimeAfter": {
- "shape": "Timestamp",
- "documentation": "A filter that returns only models with a creation time greater than or equal to the specified time (timestamp).
"
+ "ModelPackageStatus": {
+ "shape": "ModelPackageStatus",
+ "documentation": "The overall status of the model package.
"
}
+ },
+ "documentation": "Provides summary information about a model package.
"
+ },
+ "ModelPackageSummaryList": {
+ "type": "list",
+ "member": {
+ "shape": "ModelPackageSummary"
}
},
- "ListModelsOutput": {
+ "ModelPackageValidationProfile": {
"type": "structure",
"required": [
- "Models"
+ "ProfileName",
+ "TransformJobDefinition"
],
"members": {
- "Models": {
- "shape": "ModelSummaryList",
- "documentation": "An array of ModelSummary
objects, each of which lists a model.
"
+ "ProfileName": {
+ "shape": "EntityName",
+ "documentation": "The name of the profile for the model package.
"
},
- "NextToken": {
- "shape": "PaginationToken",
- "documentation": " If the response is truncated, Amazon SageMaker returns this token. To retrieve the next set of models, use it in the subsequent request.
"
+ "TransformJobDefinition": {
+ "shape": "TransformJobDefinition",
+ "documentation": "The TransformJobDefinition
object that describes the transform job used for the validation of the model package.
"
}
- }
+ },
+ "documentation": "Contains data, such as the inputs and targeted instance types that are used in the process of validating the model package.
The data provided in the validation profile is made available to your buyers on AWS Marketplace.
"
},
- "ListNotebookInstanceLifecycleConfigsInput": {
+ "ModelPackageValidationProfiles": {
+ "type": "list",
+ "member": {
+ "shape": "ModelPackageValidationProfile"
+ },
+ "max": 1,
+ "min": 1
+ },
+ "ModelPackageValidationSpecification": {
"type": "structure",
+ "required": [
+ "ValidationRole",
+ "ValidationProfiles"
+ ],
"members": {
- "NextToken": {
- "shape": "NextToken",
- "documentation": "If the result of a ListNotebookInstanceLifecycleConfigs
request was truncated, the response includes a NextToken
. To get the next set of lifecycle configurations, use the token in the next request.
"
- },
- "MaxResults": {
- "shape": "MaxResults",
- "documentation": "The maximum number of lifecycle configurations to return in the response.
"
- },
- "SortBy": {
- "shape": "NotebookInstanceLifecycleConfigSortKey",
- "documentation": "Sorts the list of results. The default is CreationTime
.
"
- },
- "SortOrder": {
- "shape": "NotebookInstanceLifecycleConfigSortOrder",
- "documentation": "The sort order for results.
"
- },
- "NameContains": {
- "shape": "NotebookInstanceLifecycleConfigNameContains",
- "documentation": "A string in the lifecycle configuration name. This filter returns only lifecycle configurations whose name contains the specified string.
"
- },
- "CreationTimeBefore": {
- "shape": "CreationTime",
- "documentation": "A filter that returns only lifecycle configurations that were created before the specified time (timestamp).
"
- },
- "CreationTimeAfter": {
- "shape": "CreationTime",
- "documentation": "A filter that returns only lifecycle configurations that were created after the specified time (timestamp).
"
- },
- "LastModifiedTimeBefore": {
- "shape": "LastModifiedTime",
- "documentation": "A filter that returns only lifecycle configurations that were modified before the specified time (timestamp).
"
+ "ValidationRole": {
+ "shape": "RoleArn",
+ "documentation": "The IAM roles to be used for the validation of the model package.
"
},
- "LastModifiedTimeAfter": {
- "shape": "LastModifiedTime",
- "documentation": "A filter that returns only lifecycle configurations that were modified after the specified time (timestamp).
"
+ "ValidationProfiles": {
+ "shape": "ModelPackageValidationProfiles",
+ "documentation": "An array of ModelPackageValidationProfile
objects, each of which specifies a batch transform job that Amazon SageMaker runs to validate your model package.
"
}
- }
+ },
+ "documentation": "Specifies batch transform jobs that Amazon SageMaker runs to validate your model package.
"
},
- "ListNotebookInstanceLifecycleConfigsOutput": {
+ "ModelSortKey": {
+ "type": "string",
+ "enum": [
+ "Name",
+ "CreationTime"
+ ]
+ },
+ "ModelSummary": {
"type": "structure",
+ "required": [
+ "ModelName",
+ "ModelArn",
+ "CreationTime"
+ ],
"members": {
- "NextToken": {
- "shape": "NextToken",
- "documentation": "If the response is truncated, Amazon SageMaker returns this token. To get the next set of lifecycle configurations, use it in the next request.
"
+ "ModelName": {
+ "shape": "ModelName",
+ "documentation": "The name of the model that you want a summary for.
"
},
- "NotebookInstanceLifecycleConfigs": {
- "shape": "NotebookInstanceLifecycleConfigSummaryList",
- "documentation": "An array of NotebookInstanceLifecycleConfiguration
objects, each listing a lifecycle configuration.
"
+ "ModelArn": {
+ "shape": "ModelArn",
+ "documentation": "The Amazon Resource Name (ARN) of the model.
"
+ },
+ "CreationTime": {
+ "shape": "Timestamp",
+ "documentation": "A timestamp that indicates when the model was created.
"
}
+ },
+ "documentation": "Provides summary information about a model.
"
+ },
+ "ModelSummaryList": {
+ "type": "list",
+ "member": {
+ "shape": "ModelSummary"
}
},
- "ListNotebookInstancesInput": {
+ "MonitoringAppSpecification": {
"type": "structure",
+ "required": [
+ "ImageUri"
+ ],
"members": {
- "NextToken": {
- "shape": "NextToken",
- "documentation": " If the previous call to the ListNotebookInstances
is truncated, the response includes a NextToken
. You can use this token in your subsequent ListNotebookInstances
request to fetch the next set of notebook instances.
You might specify a filter or a sort order in your request. When response is truncated, you must use the same values for the filer and sort order in the next request.
"
- },
- "MaxResults": {
- "shape": "MaxResults",
- "documentation": "The maximum number of notebook instances to return.
"
- },
- "SortBy": {
- "shape": "NotebookInstanceSortKey",
- "documentation": "The field to sort results by. The default is Name
.
"
- },
- "SortOrder": {
- "shape": "NotebookInstanceSortOrder",
- "documentation": "The sort order for results.
"
- },
- "NameContains": {
- "shape": "NotebookInstanceNameContains",
- "documentation": "A string in the notebook instances' name. This filter returns only notebook instances whose name contains the specified string.
"
- },
- "CreationTimeBefore": {
- "shape": "CreationTime",
- "documentation": "A filter that returns only notebook instances that were created before the specified time (timestamp).
"
- },
- "CreationTimeAfter": {
- "shape": "CreationTime",
- "documentation": "A filter that returns only notebook instances that were created after the specified time (timestamp).
"
- },
- "LastModifiedTimeBefore": {
- "shape": "LastModifiedTime",
- "documentation": "A filter that returns only notebook instances that were modified before the specified time (timestamp).
"
- },
- "LastModifiedTimeAfter": {
- "shape": "LastModifiedTime",
- "documentation": "A filter that returns only notebook instances that were modified after the specified time (timestamp).
"
+ "ImageUri": {
+ "shape": "ImageUri",
+ "documentation": "The container image to be run by the monitoring job.
"
},
- "StatusEquals": {
- "shape": "NotebookInstanceStatus",
- "documentation": "A filter that returns only notebook instances with the specified status.
"
+ "ContainerEntrypoint": {
+ "shape": "ContainerEntrypoint",
+ "documentation": "Specifies the entrypoint for a container used to run the monitoring job.
"
},
- "NotebookInstanceLifecycleConfigNameContains": {
- "shape": "NotebookInstanceLifecycleConfigName",
- "documentation": "A string in the name of a notebook instances lifecycle configuration associated with this notebook instance. This filter returns only notebook instances associated with a lifecycle configuration with a name that contains the specified string.
"
+ "ContainerArguments": {
+ "shape": "MonitoringContainerArguments",
+ "documentation": "An array of arguments for the container used to run the monitoring job.
"
},
- "DefaultCodeRepositoryContains": {
- "shape": "CodeRepositoryContains",
- "documentation": "A string in the name or URL of a Git repository associated with this notebook instance. This filter returns only notebook instances associated with a git repository with a name that contains the specified string.
"
+ "RecordPreprocessorSourceUri": {
+ "shape": "S3Uri",
+ "documentation": "An Amazon S3 URI to a script that is called per row prior to running analysis. It can base64 decode the payload and convert it into a flatted json so that the built-in container can use the converted data. Applicable only for the built-in (first party) containers.
"
},
- "AdditionalCodeRepositoryEquals": {
- "shape": "CodeRepositoryNameOrUrl",
- "documentation": "A filter that returns only notebook instances with associated with the specified git repository.
"
+ "PostAnalyticsProcessorSourceUri": {
+ "shape": "S3Uri",
+ "documentation": "An Amazon S3 URI to a script that is called after analysis has been performed. Applicable only for the built-in (first party) containers.
"
}
- }
+ },
+ "documentation": "Container image configuration object for the monitoring job.
"
},
- "ListNotebookInstancesOutput": {
+ "MonitoringBaselineConfig": {
"type": "structure",
"members": {
- "NextToken": {
- "shape": "NextToken",
- "documentation": "If the response to the previous ListNotebookInstances
request was truncated, Amazon SageMaker returns this token. To retrieve the next set of notebook instances, use the token in the next request.
"
+ "ConstraintsResource": {
+ "shape": "MonitoringConstraintsResource",
+ "documentation": "The baseline constraint file in Amazon S3 that the current monitoring job should validated against.
"
},
- "NotebookInstances": {
- "shape": "NotebookInstanceSummaryList",
- "documentation": "An array of NotebookInstanceSummary
objects, one for each notebook instance.
"
+ "StatisticsResource": {
+ "shape": "MonitoringStatisticsResource",
+ "documentation": "The baseline statistics file in Amazon S3 that the current monitoring job should be validated against.
"
}
- }
+ },
+ "documentation": "Configuration for monitoring constraints and monitoring statistics. These baseline resources are compared against the results of the current job from the series of jobs scheduled to collect data periodically.
"
},
- "ListSubscribedWorkteamsRequest": {
+ "MonitoringClusterConfig": {
"type": "structure",
+ "required": [
+ "InstanceCount",
+ "InstanceType",
+ "VolumeSizeInGB"
+ ],
"members": {
- "NameContains": {
- "shape": "WorkteamName",
- "documentation": "A string in the work team name. This filter returns only work teams whose name contains the specified string.
"
+ "InstanceCount": {
+ "shape": "ProcessingInstanceCount",
+ "documentation": "The number of ML compute instances to use in the model monitoring job. For distributed processing jobs, specify a value greater than 1. The default value is 1.
"
},
- "NextToken": {
- "shape": "NextToken",
- "documentation": "If the result of the previous ListSubscribedWorkteams
request was truncated, the response includes a NextToken
. To retrieve the next set of labeling jobs, use the token in the next request.
"
+ "InstanceType": {
+ "shape": "ProcessingInstanceType",
+ "documentation": "The ML compute instance type for the processing job.
"
},
- "MaxResults": {
- "shape": "MaxResults",
- "documentation": "The maximum number of work teams to return in each page of the response.
",
- "box": true
+ "VolumeSizeInGB": {
+ "shape": "ProcessingVolumeSizeInGB",
+ "documentation": "The size of the ML storage volume, in gigabytes, that you want to provision. You must specify sufficient ML storage for your scenario.
"
+ },
+ "VolumeKmsKeyId": {
+ "shape": "KmsKeyId",
+ "documentation": "The AWS Key Management Service (AWS KMS) key that Amazon SageMaker uses to encrypt data on the storage volume attached to the ML compute instance(s) that run the model monitoring job.
"
}
- }
+ },
+ "documentation": "Configuration for the cluster used to run model monitoring jobs.
"
},
- "ListSubscribedWorkteamsResponse": {
+ "MonitoringConstraintsResource": {
"type": "structure",
- "required": [
- "SubscribedWorkteams"
- ],
"members": {
- "SubscribedWorkteams": {
- "shape": "SubscribedWorkteams",
- "documentation": "An array of Workteam
objects, each describing a work team.
"
- },
- "NextToken": {
- "shape": "NextToken",
- "documentation": "If the response is truncated, Amazon SageMaker returns this token. To retrieve the next set of work teams, use it in the subsequent request.
"
+ "S3Uri": {
+ "shape": "S3Uri",
+ "documentation": "The Amazon S3 URI for the constraints resource.
"
}
- }
+ },
+ "documentation": "The constraints resource for a monitoring job.
"
},
- "ListTagsInput": {
+ "MonitoringContainerArguments": {
+ "type": "list",
+ "member": {
+ "shape": "ContainerArgument"
+ },
+ "max": 50,
+ "min": 1
+ },
+ "MonitoringEnvironmentMap": {
+ "type": "map",
+ "key": {
+ "shape": "ProcessingEnvironmentKey"
+ },
+ "value": {
+ "shape": "ProcessingEnvironmentValue"
+ },
+ "max": 50
+ },
+ "MonitoringExecutionSortKey": {
+ "type": "string",
+ "enum": [
+ "CreationTime",
+ "ScheduledTime",
+ "Status"
+ ]
+ },
+ "MonitoringExecutionSummary": {
"type": "structure",
"required": [
- "ResourceArn"
+ "MonitoringScheduleName",
+ "ScheduledTime",
+ "CreationTime",
+ "LastModifiedTime",
+ "MonitoringExecutionStatus"
],
"members": {
- "ResourceArn": {
- "shape": "ResourceArn",
- "documentation": "The Amazon Resource Name (ARN) of the resource whose tags you want to retrieve.
"
+ "MonitoringScheduleName": {
+ "shape": "MonitoringScheduleName",
+ "documentation": "The name of the monitoring schedule.
"
},
- "NextToken": {
- "shape": "NextToken",
- "documentation": " If the response to the previous ListTags
request is truncated, Amazon SageMaker returns this token. To retrieve the next set of tags, use it in the subsequent request.
"
+ "ScheduledTime": {
+ "shape": "Timestamp",
+ "documentation": "The time the monitoring job was scheduled.
"
},
- "MaxResults": {
- "shape": "ListTagsMaxResults",
- "documentation": "Maximum number of tags to return.
"
+ "CreationTime": {
+ "shape": "Timestamp",
+ "documentation": "The time at which the monitoring job was created.
"
+ },
+ "LastModifiedTime": {
+ "shape": "Timestamp",
+ "documentation": "A timestamp that indicates the last time the monitoring job was modified.
"
+ },
+ "MonitoringExecutionStatus": {
+ "shape": "ExecutionStatus",
+ "documentation": "The status of the monitoring job.
"
+ },
+ "ProcessingJobArn": {
+ "shape": "ProcessingJobArn",
+ "documentation": "The Amazon Resource Name (ARN) of the monitoring job.
"
+ },
+ "EndpointName": {
+ "shape": "EndpointName",
+ "documentation": "The name of teh endpoint used to run the monitoring job.
"
+ },
+ "FailureReason": {
+ "shape": "FailureReason",
+ "documentation": "Contains the reason a monitoring job failed, if it failed.
"
}
- }
+ },
+ "documentation": "Summary of information about the last monitoring job to run.
"
},
- "ListTagsMaxResults": {
- "type": "integer",
- "min": 50
+ "MonitoringExecutionSummaryList": {
+ "type": "list",
+ "member": {
+ "shape": "MonitoringExecutionSummary"
+ }
},
- "ListTagsOutput": {
+ "MonitoringInput": {
"type": "structure",
+ "required": [
+ "EndpointInput"
+ ],
"members": {
- "Tags": {
- "shape": "TagList",
- "documentation": "An array of Tag
objects, each with a tag key and a value.
"
- },
- "NextToken": {
- "shape": "NextToken",
- "documentation": " If response is truncated, Amazon SageMaker includes a token in the response. You can use this token in your subsequent request to fetch next set of tokens.
"
+ "EndpointInput": {
+ "shape": "EndpointInput",
+ "documentation": "The endpoint for a monitoring job.
"
}
- }
+ },
+ "documentation": "The inputs for a monitoring job.
"
},
- "ListTrainingJobsForHyperParameterTuningJobRequest": {
+ "MonitoringInputs": {
+ "type": "list",
+ "member": {
+ "shape": "MonitoringInput"
+ },
+ "max": 1,
+ "min": 1
+ },
+ "MonitoringJobDefinition": {
"type": "structure",
"required": [
- "HyperParameterTuningJobName"
+ "MonitoringInputs",
+ "MonitoringOutputConfig",
+ "MonitoringResources",
+ "MonitoringAppSpecification",
+ "RoleArn"
],
"members": {
- "HyperParameterTuningJobName": {
- "shape": "HyperParameterTuningJobName",
- "documentation": "The name of the tuning job whose training jobs you want to list.
"
+ "BaselineConfig": {
+ "shape": "MonitoringBaselineConfig",
+ "documentation": "Baseline configuration used to validate that the data conforms to the specified constraints and statistics
"
},
- "NextToken": {
- "shape": "NextToken",
- "documentation": "If the result of the previous ListTrainingJobsForHyperParameterTuningJob
request was truncated, the response includes a NextToken
. To retrieve the next set of training jobs, use the token in the next request.
"
+ "MonitoringInputs": {
+ "shape": "MonitoringInputs",
+ "documentation": "The array of inputs for the monitoring job. Currently we support monitoring an Amazon SageMaker Endpoint.
"
},
- "MaxResults": {
- "shape": "MaxResults",
- "documentation": "The maximum number of training jobs to return. The default value is 10.
"
+ "MonitoringOutputConfig": {
+ "shape": "MonitoringOutputConfig",
+ "documentation": "The array of outputs from the monitoring job to be uploaded to Amazon Simple Storage Service (Amazon S3).
"
},
- "StatusEquals": {
- "shape": "TrainingJobStatus",
- "documentation": "A filter that returns only training jobs with the specified status.
"
+ "MonitoringResources": {
+ "shape": "MonitoringResources",
+ "documentation": "Identifies the resources, ML compute instances, and ML storage volumes to deploy for a monitoring job. In distributed processing, you specify more than one instance.
"
},
- "SortBy": {
- "shape": "TrainingJobSortByOptions",
- "documentation": "The field to sort results by. The default is Name
.
If the value of this field is FinalObjectiveMetricValue
, any training jobs that did not return an objective metric are not listed.
"
+ "MonitoringAppSpecification": {
+ "shape": "MonitoringAppSpecification",
+ "documentation": "Configures the monitoring job to run a specified Docker container image.
"
},
- "SortOrder": {
- "shape": "SortOrder",
- "documentation": "The sort order for results. The default is Ascending
.
"
+ "StoppingCondition": {
+ "shape": "MonitoringStoppingCondition",
+ "documentation": "Specifies a time limit for how long the monitoring job is allowed to run.
"
+ },
+ "Environment": {
+ "shape": "MonitoringEnvironmentMap",
+ "documentation": "Sets the environment variables in the Docker container.
"
+ },
+ "NetworkConfig": {
+ "shape": "NetworkConfig",
+ "documentation": "Specifies networking options for an monitoring job.
"
+ },
+ "RoleArn": {
+ "shape": "RoleArn",
+ "documentation": "The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker can assume to perform tasks on your behalf.
"
}
- }
+ },
+ "documentation": "Defines the monitoring job.
"
},
- "ListTrainingJobsForHyperParameterTuningJobResponse": {
+ "MonitoringMaxRuntimeInSeconds": {
+ "type": "integer",
+ "max": 86400,
+ "min": 1
+ },
+ "MonitoringOutput": {
"type": "structure",
"required": [
- "TrainingJobSummaries"
+ "S3Output"
],
"members": {
- "TrainingJobSummaries": {
- "shape": "HyperParameterTrainingJobSummaries",
- "documentation": "A list of TrainingJobSummary objects that describe the training jobs that the ListTrainingJobsForHyperParameterTuningJob
request returned.
"
+ "S3Output": {
+ "shape": "MonitoringS3Output",
+ "documentation": "The Amazon S3 storage location where the results of a monitoring job are saved.
"
+ }
+ },
+ "documentation": "The output object for a monitoring job.
"
+ },
+ "MonitoringOutputConfig": {
+ "type": "structure",
+ "required": [
+ "MonitoringOutputs"
+ ],
+ "members": {
+ "MonitoringOutputs": {
+ "shape": "MonitoringOutputs",
+ "documentation": "Monitoring outputs for monitoring jobs. This is where the output of the periodic monitoring jobs is uploaded.
"
},
- "NextToken": {
- "shape": "NextToken",
- "documentation": "If the result of this ListTrainingJobsForHyperParameterTuningJob
request was truncated, the response includes a NextToken
. To retrieve the next set of training jobs, use the token in the next request.
"
+ "KmsKeyId": {
+ "shape": "KmsKeyId",
+ "documentation": "The AWS Key Management Service (AWS KMS) key that Amazon SageMaker uses to encrypt the model artifacts at rest using Amazon S3 server-side encryption.
"
+ }
+ },
+ "documentation": "The output configuration for monitoring jobs.
"
+ },
+ "MonitoringOutputs": {
+ "type": "list",
+ "member": {
+ "shape": "MonitoringOutput"
+ },
+ "max": 1,
+ "min": 1
+ },
+ "MonitoringResources": {
+ "type": "structure",
+ "required": [
+ "ClusterConfig"
+ ],
+ "members": {
+ "ClusterConfig": {
+ "shape": "MonitoringClusterConfig",
+ "documentation": "The configuration for the cluster resources used to run the processing job.
"
}
- }
+ },
+ "documentation": "Identifies the resources to deploy for a monitoring job.
"
},
- "ListTrainingJobsRequest": {
+ "MonitoringS3Output": {
"type": "structure",
+ "required": [
+ "S3Uri",
+ "LocalPath"
+ ],
"members": {
- "NextToken": {
- "shape": "NextToken",
- "documentation": "If the result of the previous ListTrainingJobs
request was truncated, the response includes a NextToken
. To retrieve the next set of training jobs, use the token in the next request.
"
- },
- "MaxResults": {
- "shape": "MaxResults",
- "documentation": "The maximum number of training jobs to return in the response.
",
- "box": true
- },
- "CreationTimeAfter": {
- "shape": "Timestamp",
- "documentation": "A filter that returns only training jobs created after the specified time (timestamp).
"
- },
- "CreationTimeBefore": {
- "shape": "Timestamp",
- "documentation": "A filter that returns only training jobs created before the specified time (timestamp).
"
- },
- "LastModifiedTimeAfter": {
- "shape": "Timestamp",
- "documentation": "A filter that returns only training jobs modified after the specified time (timestamp).
"
- },
- "LastModifiedTimeBefore": {
- "shape": "Timestamp",
- "documentation": "A filter that returns only training jobs modified before the specified time (timestamp).
"
- },
- "NameContains": {
- "shape": "NameContains",
- "documentation": "A string in the training job name. This filter returns only training jobs whose name contains the specified string.
"
- },
- "StatusEquals": {
- "shape": "TrainingJobStatus",
- "documentation": "A filter that retrieves only training jobs with a specific status.
"
+ "S3Uri": {
+ "shape": "MonitoringS3Uri",
+ "documentation": "A URI that identifies the Amazon S3 storage location where Amazon SageMaker saves the results of a monitoring job.
"
},
- "SortBy": {
- "shape": "SortBy",
- "documentation": "The field to sort results by. The default is CreationTime
.
"
+ "LocalPath": {
+ "shape": "ProcessingLocalPath",
+ "documentation": "The local path to the Amazon S3 storage location where Amazon SageMaker saves the results of a monitoring job. LocalPath is an absolute path for the output data.
"
},
- "SortOrder": {
- "shape": "SortOrder",
- "documentation": "The sort order for results. The default is Ascending
.
"
+ "S3UploadMode": {
+ "shape": "ProcessingS3UploadMode",
+ "documentation": "Whether to upload the results of the monitoring job continuously or after the job completes.
"
}
- }
+ },
+ "documentation": "Information about where and how you want to store the results of a monitoring job.
"
},
- "ListTrainingJobsResponse": {
+ "MonitoringS3Uri": {
+ "type": "string",
+ "max": 512,
+ "pattern": "^(https|s3)://([^/]+)/?(.*)$"
+ },
+ "MonitoringScheduleArn": {
+ "type": "string",
+ "max": 256,
+ "pattern": ".*"
+ },
+ "MonitoringScheduleConfig": {
"type": "structure",
"required": [
- "TrainingJobSummaries"
+ "MonitoringJobDefinition"
],
"members": {
- "TrainingJobSummaries": {
- "shape": "TrainingJobSummaries",
- "documentation": "An array of TrainingJobSummary
objects, each listing a training job.
"
+ "ScheduleConfig": {
+ "shape": "ScheduleConfig",
+ "documentation": "Configures the monitoring schedule.
"
},
- "NextToken": {
- "shape": "NextToken",
- "documentation": "If the response is truncated, Amazon SageMaker returns this token. To retrieve the next set of training jobs, use it in the subsequent request.
"
+ "MonitoringJobDefinition": {
+ "shape": "MonitoringJobDefinition",
+ "documentation": "Defines the monitoring job.
"
}
- }
+ },
+ "documentation": "Configures the monitoring schedule and defines the monitoring job.
"
},
- "ListTransformJobsRequest": {
+ "MonitoringScheduleName": {
+ "type": "string",
+ "max": 63,
+ "min": 1,
+ "pattern": "^[a-zA-Z0-9](-*[a-zA-Z0-9])*$"
+ },
+ "MonitoringScheduleSortKey": {
+ "type": "string",
+ "enum": [
+ "Name",
+ "CreationTime",
+ "Status"
+ ]
+ },
+ "MonitoringScheduleSummary": {
"type": "structure",
+ "required": [
+ "MonitoringScheduleName",
+ "MonitoringScheduleArn",
+ "CreationTime",
+ "LastModifiedTime",
+ "MonitoringScheduleStatus"
+ ],
"members": {
- "CreationTimeAfter": {
- "shape": "Timestamp",
- "documentation": "A filter that returns only transform jobs created after the specified time.
"
+ "MonitoringScheduleName": {
+ "shape": "MonitoringScheduleName",
+ "documentation": "The name of the monitoring schedule.
"
},
- "CreationTimeBefore": {
- "shape": "Timestamp",
- "documentation": "A filter that returns only transform jobs created before the specified time.
"
+ "MonitoringScheduleArn": {
+ "shape": "MonitoringScheduleArn",
+ "documentation": "The Amazon Resource Name (ARN) of the monitoring schedule.
"
},
- "LastModifiedTimeAfter": {
+ "CreationTime": {
"shape": "Timestamp",
- "documentation": "A filter that returns only transform jobs modified after the specified time.
"
+ "documentation": "The creation time of the monitoring schedule.
"
},
- "LastModifiedTimeBefore": {
+ "LastModifiedTime": {
"shape": "Timestamp",
- "documentation": "A filter that returns only transform jobs modified before the specified time.
"
- },
- "NameContains": {
- "shape": "NameContains",
- "documentation": "A string in the transform job name. This filter returns only transform jobs whose name contains the specified string.
"
- },
- "StatusEquals": {
- "shape": "TransformJobStatus",
- "documentation": "A filter that retrieves only transform jobs with a specific status.
"
- },
- "SortBy": {
- "shape": "SortBy",
- "documentation": "The field to sort results by. The default is CreationTime
.
"
- },
- "SortOrder": {
- "shape": "SortOrder",
- "documentation": "The sort order for results. The default is Descending
.
"
+ "documentation": "The last time the monitoring schedule was modified.
"
},
- "NextToken": {
- "shape": "NextToken",
- "documentation": "If the result of the previous ListTransformJobs
request was truncated, the response includes a NextToken
. To retrieve the next set of transform jobs, use the token in the next request.
"
+ "MonitoringScheduleStatus": {
+ "shape": "ScheduleStatus",
+ "documentation": "The status of the monitoring schedule.
"
},
- "MaxResults": {
- "shape": "MaxResults",
- "documentation": "The maximum number of transform jobs to return in the response. The default value is 10
.
",
- "box": true
+ "EndpointName": {
+ "shape": "EndpointName",
+ "documentation": "The name of the endpoint using the monitoring schedule.
"
}
+ },
+ "documentation": "Summarizes the monitoring schedule.
"
+ },
+ "MonitoringScheduleSummaryList": {
+ "type": "list",
+ "member": {
+ "shape": "MonitoringScheduleSummary"
}
},
- "ListTransformJobsResponse": {
+ "MonitoringStatisticsResource": {
+ "type": "structure",
+ "members": {
+ "S3Uri": {
+ "shape": "S3Uri",
+ "documentation": "The Amazon S3 URI for the statistics resource.
"
+ }
+ },
+ "documentation": "The statistics resource for a monitoring job.
"
+ },
+ "MonitoringStoppingCondition": {
"type": "structure",
"required": [
- "TransformJobSummaries"
+ "MaxRuntimeInSeconds"
],
"members": {
- "TransformJobSummaries": {
- "shape": "TransformJobSummaries",
- "documentation": "An array of TransformJobSummary
objects.
"
- },
- "NextToken": {
- "shape": "NextToken",
- "documentation": "If the response is truncated, Amazon SageMaker returns this token. To retrieve the next set of transform jobs, use it in the next request.
"
+ "MaxRuntimeInSeconds": {
+ "shape": "MonitoringMaxRuntimeInSeconds",
+ "documentation": "The maximum runtime allowed in seconds.
"
}
- }
+ },
+ "documentation": "A time limit for how long the monitoring job is allowed to run before stopping.
"
},
- "ListWorkteamsRequest": {
+ "NameContains": {
+ "type": "string",
+ "max": 63,
+ "pattern": "[a-zA-Z0-9\\-]+"
+ },
+ "NestedFilters": {
"type": "structure",
+ "required": [
+ "NestedPropertyName",
+ "Filters"
+ ],
"members": {
- "SortBy": {
- "shape": "ListWorkteamsSortByOptions",
- "documentation": "The field to sort results by. The default is CreationTime
.
"
- },
- "SortOrder": {
- "shape": "SortOrder",
- "documentation": "The sort order for results. The default is Ascending
.
"
- },
- "NameContains": {
- "shape": "WorkteamName",
- "documentation": "A string in the work team's name. This filter returns only work teams whose name contains the specified string.
"
- },
- "NextToken": {
- "shape": "NextToken",
- "documentation": "If the result of the previous ListWorkteams
request was truncated, the response includes a NextToken
. To retrieve the next set of labeling jobs, use the token in the next request.
"
+ "NestedPropertyName": {
+ "shape": "ResourcePropertyName",
+ "documentation": "The name of the property to use in the nested filters. The value must match a listed property name, such as InputDataConfig
.
"
},
- "MaxResults": {
- "shape": "MaxResults",
- "documentation": "The maximum number of work teams to return in each page of the response.
",
- "box": true
+ "Filters": {
+ "shape": "FilterList",
+ "documentation": "A list of filters. Each filter acts on a property. Filters must contain at least one Filters
value. For example, a NestedFilters
call might include a filter on the PropertyName
parameter of the InputDataConfig
property: InputDataConfig.DataSource.S3DataSource.S3Uri
.
"
}
- }
+ },
+ "documentation": "Defines a list of NestedFilters
objects. To satisfy the conditions specified in the NestedFilters
call, a resource must satisfy the conditions of all of the filters.
For example, you could define a NestedFilters
using the training job's InputDataConfig
property to filter on Channel
objects.
A NestedFilters
object contains multiple filters. For example, to find all training jobs whose name contains train
and that have cat/data
in their S3Uri
(specified in InputDataConfig
), you need to create a NestedFilters
object that specifies the InputDataConfig
property with the following Filter
objects:
-
'{Name:\"InputDataConfig.ChannelName\", \"Operator\":\"EQUALS\", \"Value\":\"train\"}',
-
'{Name:\"InputDataConfig.DataSource.S3DataSource.S3Uri\", \"Operator\":\"CONTAINS\", \"Value\":\"cat/data\"}'
"
},
- "ListWorkteamsResponse": {
+ "NestedFiltersList": {
+ "type": "list",
+ "member": {
+ "shape": "NestedFilters"
+ },
+ "max": 20,
+ "min": 1
+ },
+ "NetworkConfig": {
"type": "structure",
- "required": [
- "Workteams"
- ],
"members": {
- "Workteams": {
- "shape": "Workteams",
- "documentation": "An array of Workteam
objects, each describing a work team.
"
+ "EnableNetworkIsolation": {
+ "shape": "Boolean",
+ "documentation": "Whether to allow inbound and outbound network calls to and from the containers used for the processing job.
"
},
- "NextToken": {
- "shape": "NextToken",
- "documentation": "If the response is truncated, Amazon SageMaker returns this token. To retrieve the next set of work teams, use it in the subsequent request.
"
+ "VpcConfig": {
+ "shape": "VpcConfig"
}
- }
+ },
+ "documentation": "Networking options for a job, such as network traffic encryption between containers, whether to allow inbound and outbound network calls to and from containers, and the VPC subnets and security groups to use for VPC-enabled jobs.
"
},
- "ListWorkteamsSortByOptions": {
+ "NetworkInterfaceId": {
+ "type": "string"
+ },
+ "NextToken": {
+ "type": "string",
+ "max": 8192,
+ "pattern": ".*"
+ },
+ "NotebookInstanceAcceleratorType": {
"type": "string",
"enum": [
- "Name",
- "CreateDate"
+ "ml.eia1.medium",
+ "ml.eia1.large",
+ "ml.eia1.xlarge",
+ "ml.eia2.medium",
+ "ml.eia2.large",
+ "ml.eia2.xlarge"
]
},
- "MaxConcurrentTaskCount": {
- "type": "integer",
- "max": 1000,
- "min": 1
- },
- "MaxConcurrentTransforms": {
- "type": "integer",
- "min": 0
- },
- "MaxHumanLabeledObjectCount": {
- "type": "integer",
- "min": 1
+ "NotebookInstanceAcceleratorTypes": {
+ "type": "list",
+ "member": {
+ "shape": "NotebookInstanceAcceleratorType"
+ }
},
- "MaxNumberOfTrainingJobs": {
- "type": "integer",
- "min": 1
+ "NotebookInstanceArn": {
+ "type": "string",
+ "max": 256
},
- "MaxParallelTrainingJobs": {
- "type": "integer",
- "min": 1
+ "NotebookInstanceLifecycleConfigArn": {
+ "type": "string",
+ "max": 256
},
- "MaxPayloadInMB": {
- "type": "integer",
- "min": 0
+ "NotebookInstanceLifecycleConfigContent": {
+ "type": "string",
+ "max": 16384,
+ "min": 1,
+ "pattern": "[\\S\\s]+"
},
- "MaxPercentageOfInputDatasetLabeled": {
- "type": "integer",
- "max": 100,
- "min": 1
+ "NotebookInstanceLifecycleConfigList": {
+ "type": "list",
+ "member": {
+ "shape": "NotebookInstanceLifecycleHook"
+ },
+ "max": 1
},
- "MaxResults": {
- "type": "integer",
- "max": 100,
- "min": 1
+ "NotebookInstanceLifecycleConfigName": {
+ "type": "string",
+ "max": 63,
+ "pattern": "^[a-zA-Z0-9](-*[a-zA-Z0-9])*"
},
- "MaxRuntimeInSeconds": {
- "type": "integer",
- "min": 1
+ "NotebookInstanceLifecycleConfigNameContains": {
+ "type": "string",
+ "max": 63,
+ "pattern": "[a-zA-Z0-9-]+"
},
- "MaxWaitTimeInSeconds": {
- "type": "integer",
- "min": 1
+ "NotebookInstanceLifecycleConfigSortKey": {
+ "type": "string",
+ "enum": [
+ "Name",
+ "CreationTime",
+ "LastModifiedTime"
+ ]
},
- "MemberDefinition": {
+ "NotebookInstanceLifecycleConfigSortOrder": {
+ "type": "string",
+ "enum": [
+ "Ascending",
+ "Descending"
+ ]
+ },
+ "NotebookInstanceLifecycleConfigSummary": {
"type": "structure",
+ "required": [
+ "NotebookInstanceLifecycleConfigName",
+ "NotebookInstanceLifecycleConfigArn"
+ ],
"members": {
- "CognitoMemberDefinition": {
- "shape": "CognitoMemberDefinition",
- "documentation": "The Amazon Cognito user group that is part of the work team.
"
+ "NotebookInstanceLifecycleConfigName": {
+ "shape": "NotebookInstanceLifecycleConfigName",
+ "documentation": "The name of the lifecycle configuration.
"
+ },
+ "NotebookInstanceLifecycleConfigArn": {
+ "shape": "NotebookInstanceLifecycleConfigArn",
+ "documentation": "The Amazon Resource Name (ARN) of the lifecycle configuration.
"
+ },
+ "CreationTime": {
+ "shape": "CreationTime",
+ "documentation": "A timestamp that tells when the lifecycle configuration was created.
"
+ },
+ "LastModifiedTime": {
+ "shape": "LastModifiedTime",
+ "documentation": "A timestamp that tells when the lifecycle configuration was last modified.
"
}
},
- "documentation": "Defines the Amazon Cognito user group that is part of a work team.
"
+ "documentation": "Provides a summary of a notebook instance lifecycle configuration.
"
},
- "MemberDefinitions": {
+ "NotebookInstanceLifecycleConfigSummaryList": {
"type": "list",
"member": {
- "shape": "MemberDefinition"
- },
- "max": 10,
- "min": 1
+ "shape": "NotebookInstanceLifecycleConfigSummary"
+ }
},
- "MetricData": {
+ "NotebookInstanceLifecycleHook": {
"type": "structure",
"members": {
- "MetricName": {
- "shape": "MetricName",
- "documentation": "The name of the metric.
"
- },
- "Value": {
- "shape": "Float",
- "documentation": "The value of the metric.
"
- },
- "Timestamp": {
- "shape": "Timestamp",
- "documentation": "The date and time that the algorithm emitted the metric.
"
+ "Content": {
+ "shape": "NotebookInstanceLifecycleConfigContent",
+ "documentation": "A base64-encoded string that contains a shell script for a notebook instance lifecycle configuration.
"
}
},
- "documentation": "The name, value, and date and time of a metric that was emitted to Amazon CloudWatch.
"
+ "documentation": "Contains the notebook instance lifecycle configuration script.
Each lifecycle configuration script has a limit of 16384 characters.
The value of the $PATH
environment variable that is available to both scripts is /sbin:bin:/usr/sbin:/usr/bin
.
View CloudWatch Logs for notebook instance lifecycle configurations in log group /aws/sagemaker/NotebookInstances
in log stream [notebook-instance-name]/[LifecycleConfigHook]
.
Lifecycle configuration scripts cannot run for longer than 5 minutes. If a script runs for longer than 5 minutes, it fails and the notebook instance is not created or started.
For information about notebook instance lifestyle configurations, see Step 2.1: (Optional) Customize a Notebook Instance.
"
},
- "MetricDefinition": {
+ "NotebookInstanceName": {
+ "type": "string",
+ "max": 63,
+ "pattern": "^[a-zA-Z0-9](-*[a-zA-Z0-9])*"
+ },
+ "NotebookInstanceNameContains": {
+ "type": "string",
+ "max": 63,
+ "pattern": "[a-zA-Z0-9-]+"
+ },
+ "NotebookInstanceSortKey": {
+ "type": "string",
+ "enum": [
+ "Name",
+ "CreationTime",
+ "Status"
+ ]
+ },
+ "NotebookInstanceSortOrder": {
+ "type": "string",
+ "enum": [
+ "Ascending",
+ "Descending"
+ ]
+ },
+ "NotebookInstanceStatus": {
+ "type": "string",
+ "enum": [
+ "Pending",
+ "InService",
+ "Stopping",
+ "Stopped",
+ "Failed",
+ "Deleting",
+ "Updating"
+ ]
+ },
+ "NotebookInstanceSummary": {
"type": "structure",
"required": [
- "Name",
- "Regex"
+ "NotebookInstanceName",
+ "NotebookInstanceArn"
],
"members": {
- "Name": {
- "shape": "MetricName",
- "documentation": "The name of the metric.
"
+ "NotebookInstanceName": {
+ "shape": "NotebookInstanceName",
+ "documentation": "The name of the notebook instance that you want a summary for.
"
},
- "Regex": {
- "shape": "MetricRegex",
- "documentation": "A regular expression that searches the output of a training job and gets the value of the metric. For more information about using regular expressions to define metrics, see Defining Objective Metrics.
"
+ "NotebookInstanceArn": {
+ "shape": "NotebookInstanceArn",
+ "documentation": "The Amazon Resource Name (ARN) of the notebook instance.
"
+ },
+ "NotebookInstanceStatus": {
+ "shape": "NotebookInstanceStatus",
+ "documentation": "The status of the notebook instance.
"
+ },
+ "Url": {
+ "shape": "NotebookInstanceUrl",
+ "documentation": "The URL that you use to connect to the Jupyter instance running in your notebook instance.
"
+ },
+ "InstanceType": {
+ "shape": "InstanceType",
+ "documentation": "The type of ML compute instance that the notebook instance is running on.
"
+ },
+ "CreationTime": {
+ "shape": "CreationTime",
+ "documentation": "A timestamp that shows when the notebook instance was created.
"
+ },
+ "LastModifiedTime": {
+ "shape": "LastModifiedTime",
+ "documentation": "A timestamp that shows when the notebook instance was last modified.
"
+ },
+ "NotebookInstanceLifecycleConfigName": {
+ "shape": "NotebookInstanceLifecycleConfigName",
+ "documentation": "The name of a notebook instance lifecycle configuration associated with this notebook instance.
For information about notebook instance lifestyle configurations, see Step 2.1: (Optional) Customize a Notebook Instance.
"
+ },
+ "DefaultCodeRepository": {
+ "shape": "CodeRepositoryNameOrUrl",
+ "documentation": "The Git repository associated with the notebook instance as its default code repository. This can be either the name of a Git repository stored as a resource in your account, or the URL of a Git repository in AWS CodeCommit or in any other Git repository. When you open a notebook instance, it opens in the directory that contains this repository. For more information, see Associating Git Repositories with Amazon SageMaker Notebook Instances.
"
+ },
+ "AdditionalCodeRepositories": {
+ "shape": "AdditionalCodeRepositoryNamesOrUrls",
+ "documentation": "An array of up to three Git repositories associated with the notebook instance. These can be either the names of Git repositories stored as resources in your account, or the URL of Git repositories in AWS CodeCommit or in any other Git repository. These repositories are cloned at the same level as the default repository of your notebook instance. For more information, see Associating Git Repositories with Amazon SageMaker Notebook Instances.
"
}
},
- "documentation": "Specifies a metric that the training algorithm writes to stderr
or stdout
. Amazon SageMakerhyperparameter tuning captures all defined metrics. You specify one metric that a hyperparameter tuning job uses as its objective metric to choose the best training job.
"
+ "documentation": "Provides summary information for an Amazon SageMaker notebook instance.
"
},
- "MetricDefinitionList": {
+ "NotebookInstanceSummaryList": {
"type": "list",
"member": {
- "shape": "MetricDefinition"
- },
- "max": 40,
- "min": 0
- },
- "MetricName": {
- "type": "string",
- "max": 255,
- "min": 1,
- "pattern": ".+"
+ "shape": "NotebookInstanceSummary"
+ }
},
- "MetricRegex": {
- "type": "string",
- "max": 500,
- "min": 1,
- "pattern": ".+"
+ "NotebookInstanceUrl": {
+ "type": "string"
},
- "MetricValue": {
- "type": "float"
+ "NotebookInstanceVolumeSizeInGB": {
+ "type": "integer",
+ "max": 16384,
+ "min": 5
},
- "ModelArn": {
+ "NotebookOutputOption": {
"type": "string",
- "max": 2048,
- "min": 20,
- "pattern": "arn:aws[a-z\\-]*:sagemaker:[a-z0-9\\-]*:[0-9]{12}:model/.*"
+ "enum": [
+ "Allowed",
+ "Disabled"
+ ]
},
- "ModelArtifacts": {
+ "NotificationConfiguration": {
"type": "structure",
- "required": [
- "S3ModelArtifacts"
- ],
"members": {
- "S3ModelArtifacts": {
- "shape": "S3Uri",
- "documentation": "The path of the S3 object that contains the model artifacts. For example, s3://bucket-name/keynameprefix/model.tar.gz
.
"
+ "NotificationTopicArn": {
+ "shape": "NotificationTopicArn",
+ "documentation": "The ARN for the SNS topic to which notifications should be published.
"
}
},
- "documentation": "Provides information about the location that is configured for storing model artifacts.
"
+ "documentation": "Configures SNS notifications of available or expiring work items for work teams.
"
},
- "ModelName": {
+ "NotificationTopicArn": {
"type": "string",
- "max": 63,
- "pattern": "^[a-zA-Z0-9](-*[a-zA-Z0-9])*"
+ "pattern": "arn:aws[a-z\\-]*:sns:[a-z0-9\\-]*:[0-9]{12}:[a-zA-Z0-9_.-]*"
},
- "ModelNameContains": {
+ "NumberOfHumanWorkersPerDataObject": {
+ "type": "integer",
+ "max": 9,
+ "min": 1
+ },
+ "ObjectiveStatus": {
"type": "string",
- "max": 63,
- "pattern": "[a-zA-Z0-9-]+"
+ "enum": [
+ "Succeeded",
+ "Pending",
+ "Failed"
+ ]
},
- "ModelPackageArn": {
- "type": "string",
- "max": 2048,
- "min": 1,
- "pattern": "arn:aws[a-z\\-]*:sagemaker:[a-z0-9\\-]*:[0-9]{12}:model-package/.*"
+ "ObjectiveStatusCounter": {
+ "type": "integer",
+ "min": 0
},
- "ModelPackageContainerDefinition": {
+ "ObjectiveStatusCounters": {
"type": "structure",
- "required": [
- "Image"
- ],
"members": {
- "ContainerHostname": {
- "shape": "ContainerHostname",
- "documentation": "The DNS host name for the Docker container.
"
- },
- "Image": {
- "shape": "Image",
- "documentation": "The Amazon EC2 Container Registry (Amazon ECR) path where inference code is stored.
If you are using your own custom algorithm instead of an algorithm provided by Amazon SageMaker, the inference code must meet Amazon SageMaker requirements. Amazon SageMaker supports both registry/repository[:tag]
and registry/repository[@digest]
image path formats. For more information, see Using Your Own Algorithms with Amazon SageMaker.
"
- },
- "ImageDigest": {
- "shape": "ImageDigest",
- "documentation": "An MD5 hash of the training algorithm that identifies the Docker image used for training.
"
+ "Succeeded": {
+ "shape": "ObjectiveStatusCounter",
+ "documentation": "The number of training jobs whose final objective metric was evaluated by the hyperparameter tuning job and used in the hyperparameter tuning process.
"
},
- "ModelDataUrl": {
- "shape": "Url",
- "documentation": "The Amazon S3 path where the model artifacts, which result from model training, are stored. This path must point to a single gzip
compressed tar archive (.tar.gz
suffix).
"
+ "Pending": {
+ "shape": "ObjectiveStatusCounter",
+ "documentation": "The number of training jobs that are in progress and pending evaluation of their final objective metric.
"
},
- "ProductId": {
- "shape": "ProductId",
- "documentation": "The AWS Marketplace product ID of the model package.
"
+ "Failed": {
+ "shape": "ObjectiveStatusCounter",
+ "documentation": "The number of training jobs whose final objective metric was not evaluated and used in the hyperparameter tuning process. This typically occurs when the training job failed or did not emit an objective metric.
"
}
},
- "documentation": "Describes the Docker container for the model package.
"
- },
- "ModelPackageContainerDefinitionList": {
- "type": "list",
- "member": {
- "shape": "ModelPackageContainerDefinition"
- },
- "max": 1,
- "min": 1
+ "documentation": "Specifies the number of training jobs that this hyperparameter tuning job launched, categorized by the status of their objective metric. The objective metric status shows whether the final objective metric for the training job has been evaluated by the tuning job and used in the hyperparameter tuning process.
"
},
- "ModelPackageSortBy": {
+ "Operator": {
"type": "string",
"enum": [
- "Name",
- "CreationTime"
+ "Equals",
+ "NotEquals",
+ "GreaterThan",
+ "GreaterThanOrEqualTo",
+ "LessThan",
+ "LessThanOrEqualTo",
+ "Contains",
+ "Exists",
+ "NotExists"
]
},
- "ModelPackageStatus": {
+ "OptionalDouble": {
+ "type": "double"
+ },
+ "OptionalInteger": {
+ "type": "integer"
+ },
+ "OptionalVolumeSizeInGB": {
+ "type": "integer",
+ "min": 0
+ },
+ "OrderKey": {
"type": "string",
"enum": [
- "Pending",
- "InProgress",
- "Completed",
- "Failed",
- "Deleting"
+ "Ascending",
+ "Descending"
]
},
- "ModelPackageStatusDetails": {
+ "OutputConfig": {
"type": "structure",
"required": [
- "ValidationStatuses"
+ "S3OutputLocation",
+ "TargetDevice"
],
"members": {
- "ValidationStatuses": {
- "shape": "ModelPackageStatusItemList",
- "documentation": "The validation status of the model package.
"
+ "S3OutputLocation": {
+ "shape": "S3Uri",
+ "documentation": "Identifies the S3 path where you want Amazon SageMaker to store the model artifacts. For example, s3://bucket-name/key-name-prefix.
"
},
- "ImageScanStatuses": {
- "shape": "ModelPackageStatusItemList",
- "documentation": "The status of the scan of the Docker image container for the model package.
"
+ "TargetDevice": {
+ "shape": "TargetDevice",
+ "documentation": "Identifies the device that you want to run your model on after it has been compiled. For example: ml_c5.
"
}
},
- "documentation": "Specifies the validation and image scan statuses of the model package.
"
+ "documentation": "Contains information about the output location for the compiled model and the device (target) that the model runs on.
"
},
- "ModelPackageStatusItem": {
+ "OutputDataConfig": {
"type": "structure",
"required": [
- "Name",
- "Status"
+ "S3OutputPath"
],
"members": {
- "Name": {
- "shape": "EntityName",
- "documentation": "The name of the model package for which the overall status is being reported.
"
- },
- "Status": {
- "shape": "DetailedModelPackageStatus",
- "documentation": "The current status.
"
+ "KmsKeyId": {
+ "shape": "KmsKeyId",
+ "documentation": "The AWS Key Management Service (AWS KMS) key that Amazon SageMaker uses to encrypt the model artifacts at rest using Amazon S3 server-side encryption. The KmsKeyId
can be any of the following formats:
-
// KMS Key ID
\"1234abcd-12ab-34cd-56ef-1234567890ab\"
-
// Amazon Resource Name (ARN) of a KMS Key
\"arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab\"
-
// KMS Key Alias
\"alias/ExampleAlias\"
-
// Amazon Resource Name (ARN) of a KMS Key Alias
\"arn:aws:kms:us-west-2:111122223333:alias/ExampleAlias\"
If you use a KMS key ID or an alias of your master key, the Amazon SageMaker execution role must include permissions to call kms:Encrypt
. If you don't provide a KMS key ID, Amazon SageMaker uses the default KMS key for Amazon S3 for your role's account. Amazon SageMaker uses server-side encryption with KMS-managed keys for OutputDataConfig
. If you use a bucket policy with an s3:PutObject
permission that only allows objects with server-side encryption, set the condition key of s3:x-amz-server-side-encryption
to \"aws:kms\"
. For more information, see KMS-Managed Encryption Keys in the Amazon Simple Storage Service Developer Guide.
The KMS key policy must grant permission to the IAM role that you specify in your CreateTrainingJob
, CreateTransformJob
, or CreateHyperParameterTuningJob
requests. For more information, see Using Key Policies in AWS KMS in the AWS Key Management Service Developer Guide.
"
},
- "FailureReason": {
- "shape": "String",
- "documentation": "if the overall status is Failed
, the reason for the failure.
"
+ "S3OutputPath": {
+ "shape": "S3Uri",
+ "documentation": "Identifies the S3 path where you want Amazon SageMaker to store the model artifacts. For example, s3://bucket-name/key-name-prefix
.
"
}
},
- "documentation": "Represents the overall status of a model package.
"
+ "documentation": "Provides information about how to store model training results (model artifacts).
"
},
- "ModelPackageStatusItemList": {
- "type": "list",
- "member": {
- "shape": "ModelPackageStatusItem"
- }
+ "PaginationToken": {
+ "type": "string",
+ "max": 8192,
+ "pattern": ".*"
},
- "ModelPackageSummary": {
- "type": "structure",
- "required": [
- "ModelPackageName",
- "ModelPackageArn",
- "CreationTime",
- "ModelPackageStatus"
- ],
- "members": {
- "ModelPackageName": {
- "shape": "EntityName",
- "documentation": "The name of the model package.
"
- },
- "ModelPackageArn": {
- "shape": "ModelPackageArn",
- "documentation": "The Amazon Resource Name (ARN) of the model package.
"
- },
- "ModelPackageDescription": {
- "shape": "EntityDescription",
- "documentation": "A brief description of the model package.
"
- },
- "CreationTime": {
- "shape": "CreationTime",
- "documentation": "A timestamp that shows when the model package was created.
"
- },
- "ModelPackageStatus": {
- "shape": "ModelPackageStatus",
- "documentation": "The overall status of the model package.
"
- }
- },
- "documentation": "Provides summary information about a model package.
"
+ "ParameterKey": {
+ "type": "string",
+ "max": 256,
+ "pattern": ".*"
},
- "ModelPackageSummaryList": {
- "type": "list",
- "member": {
- "shape": "ModelPackageSummary"
- }
+ "ParameterName": {
+ "type": "string",
+ "max": 256,
+ "pattern": "[\\p{L}\\p{M}\\p{Z}\\p{S}\\p{N}\\p{P}]*"
},
- "ModelPackageValidationProfile": {
+ "ParameterRange": {
"type": "structure",
- "required": [
- "ProfileName",
- "TransformJobDefinition"
- ],
"members": {
- "ProfileName": {
- "shape": "EntityName",
- "documentation": "The name of the profile for the model package.
"
+ "IntegerParameterRangeSpecification": {
+ "shape": "IntegerParameterRangeSpecification",
+ "documentation": "A IntegerParameterRangeSpecification
object that defines the possible values for an integer hyperparameter.
"
},
- "TransformJobDefinition": {
- "shape": "TransformJobDefinition",
- "documentation": "The TransformJobDefinition
object that describes the transform job used for the validation of the model package.
"
+ "ContinuousParameterRangeSpecification": {
+ "shape": "ContinuousParameterRangeSpecification",
+ "documentation": "A ContinuousParameterRangeSpecification
object that defines the possible values for a continuous hyperparameter.
"
+ },
+ "CategoricalParameterRangeSpecification": {
+ "shape": "CategoricalParameterRangeSpecification",
+ "documentation": "A CategoricalParameterRangeSpecification
object that defines the possible values for a categorical hyperparameter.
"
}
},
- "documentation": "Contains data, such as the inputs and targeted instance types that are used in the process of validating the model package.
The data provided in the validation profile is made available to your buyers on AWS Marketplace.
"
- },
- "ModelPackageValidationProfiles": {
- "type": "list",
- "member": {
- "shape": "ModelPackageValidationProfile"
- },
- "max": 1,
- "min": 1
+ "documentation": "Defines the possible values for categorical, continuous, and integer hyperparameters to be used by an algorithm.
"
},
- "ModelPackageValidationSpecification": {
+ "ParameterRanges": {
"type": "structure",
- "required": [
- "ValidationRole",
- "ValidationProfiles"
- ],
"members": {
- "ValidationRole": {
- "shape": "RoleArn",
- "documentation": "The IAM roles to be used for the validation of the model package.
"
+ "IntegerParameterRanges": {
+ "shape": "IntegerParameterRanges",
+ "documentation": "The array of IntegerParameterRange objects that specify ranges of integer hyperparameters that a hyperparameter tuning job searches.
"
},
- "ValidationProfiles": {
- "shape": "ModelPackageValidationProfiles",
- "documentation": "An array of ModelPackageValidationProfile
objects, each of which specifies a batch transform job that Amazon SageMaker runs to validate your model package.
"
+ "ContinuousParameterRanges": {
+ "shape": "ContinuousParameterRanges",
+ "documentation": "The array of ContinuousParameterRange objects that specify ranges of continuous hyperparameters that a hyperparameter tuning job searches.
"
+ },
+ "CategoricalParameterRanges": {
+ "shape": "CategoricalParameterRanges",
+ "documentation": "The array of CategoricalParameterRange objects that specify ranges of categorical hyperparameters that a hyperparameter tuning job searches.
"
}
},
- "documentation": "Specifies batch transform jobs that Amazon SageMaker runs to validate your model package.
"
+ "documentation": "Specifies ranges of integer, continuous, and categorical hyperparameters that a hyperparameter tuning job searches. The hyperparameter tuning job launches training jobs with hyperparameter values within these ranges to find the combination of values that result in the training job with the best performance as measured by the objective metric of the hyperparameter tuning job.
You can specify a maximum of 20 hyperparameters that a hyperparameter tuning job can search over. Every possible value of a categorical parameter range counts against this limit.
"
},
- "ModelSortKey": {
+ "ParameterType": {
"type": "string",
"enum": [
- "Name",
- "CreationTime"
+ "Integer",
+ "Continuous",
+ "Categorical",
+ "FreeText"
]
},
- "ModelSummary": {
- "type": "structure",
- "required": [
- "ModelName",
- "ModelArn",
- "CreationTime"
- ],
- "members": {
- "ModelName": {
- "shape": "ModelName",
- "documentation": "The name of the model that you want a summary for.
"
- },
- "ModelArn": {
- "shape": "ModelArn",
- "documentation": "The Amazon Resource Name (ARN) of the model.
"
- },
- "CreationTime": {
- "shape": "Timestamp",
- "documentation": "A timestamp that indicates when the model was created.
"
- }
- },
- "documentation": "Provides summary information about a model.
"
+ "ParameterValue": {
+ "type": "string",
+ "max": 256,
+ "pattern": ".*"
},
- "ModelSummaryList": {
+ "ParameterValues": {
"type": "list",
"member": {
- "shape": "ModelSummary"
- }
- },
- "NameContains": {
- "type": "string",
- "max": 63,
- "pattern": "[a-zA-Z0-9\\-]+"
+ "shape": "ParameterValue"
+ },
+ "max": 20,
+ "min": 1
},
- "NestedFilters": {
+ "Parent": {
"type": "structure",
- "required": [
- "NestedPropertyName",
- "Filters"
- ],
"members": {
- "NestedPropertyName": {
- "shape": "ResourcePropertyName",
- "documentation": "The name of the property to use in the nested filters. The value must match a listed property name, such as InputDataConfig
.
"
+ "TrialName": {
+ "shape": "ExperimentEntityName",
+ "documentation": "The name of the trial.
"
},
- "Filters": {
- "shape": "FilterList",
- "documentation": "A list of filters. Each filter acts on a property. Filters must contain at least one Filters
value. For example, a NestedFilters
call might include a filter on the PropertyName
parameter of the InputDataConfig
property: InputDataConfig.DataSource.S3DataSource.S3Uri
.
"
+ "ExperimentName": {
+ "shape": "ExperimentEntityName",
+ "documentation": "The name of the experiment.
"
}
},
- "documentation": "Defines a list of NestedFilters
objects. To satisfy the conditions specified in the NestedFilters
call, a resource must satisfy the conditions of all of the filters.
For example, you could define a NestedFilters
using the training job's InputDataConfig
property to filter on Channel
objects.
A NestedFilters
object contains multiple filters. For example, to find all training jobs whose name contains train
and that have cat/data
in their S3Uri
(specified in InputDataConfig
), you need to create a NestedFilters
object that specifies the InputDataConfig
property with the following Filter
objects:
-
'{Name:\"InputDataConfig.ChannelName\", \"Operator\":\"EQUALS\", \"Value\":\"train\"}',
-
'{Name:\"InputDataConfig.DataSource.S3DataSource.S3Uri\", \"Operator\":\"CONTAINS\", \"Value\":\"cat/data\"}'
"
+ "documentation": "The trial that a trial component is associated with and the experiment the trial is part of. A component might not be associated with a trial. A component can be associated with multiple trials.
"
},
- "NestedFiltersList": {
+ "ParentHyperParameterTuningJob": {
+ "type": "structure",
+ "members": {
+ "HyperParameterTuningJobName": {
+ "shape": "HyperParameterTuningJobName",
+ "documentation": "The name of the hyperparameter tuning job to be used as a starting point for a new hyperparameter tuning job.
"
+ }
+ },
+ "documentation": "A previously completed or stopped hyperparameter tuning job to be used as a starting point for a new hyperparameter tuning job.
"
+ },
+ "ParentHyperParameterTuningJobs": {
"type": "list",
"member": {
- "shape": "NestedFilters"
+ "shape": "ParentHyperParameterTuningJob"
},
- "max": 20,
+ "max": 5,
"min": 1
},
- "NetworkInterfaceId": {
- "type": "string"
- },
- "NextToken": {
- "type": "string",
- "max": 8192,
- "pattern": ".*"
- },
- "NotebookInstanceAcceleratorType": {
- "type": "string",
- "enum": [
- "ml.eia1.medium",
- "ml.eia1.large",
- "ml.eia1.xlarge",
- "ml.eia2.medium",
- "ml.eia2.large",
- "ml.eia2.xlarge"
- ]
- },
- "NotebookInstanceAcceleratorTypes": {
+ "Parents": {
"type": "list",
"member": {
- "shape": "NotebookInstanceAcceleratorType"
+ "shape": "Parent"
}
},
- "NotebookInstanceArn": {
- "type": "string",
- "max": 256
- },
- "NotebookInstanceLifecycleConfigArn": {
- "type": "string",
- "max": 256
- },
- "NotebookInstanceLifecycleConfigContent": {
- "type": "string",
- "max": 16384,
- "min": 1,
- "pattern": "[\\S\\s]+"
- },
- "NotebookInstanceLifecycleConfigList": {
- "type": "list",
- "member": {
- "shape": "NotebookInstanceLifecycleHook"
- },
- "max": 1
- },
- "NotebookInstanceLifecycleConfigName": {
- "type": "string",
- "max": 63,
- "pattern": "^[a-zA-Z0-9](-*[a-zA-Z0-9])*"
- },
- "NotebookInstanceLifecycleConfigNameContains": {
- "type": "string",
- "max": 63,
- "pattern": "[a-zA-Z0-9-]+"
- },
- "NotebookInstanceLifecycleConfigSortKey": {
- "type": "string",
- "enum": [
- "Name",
- "CreationTime",
- "LastModifiedTime"
- ]
+ "PresignedDomainUrl": {
+ "type": "string"
},
- "NotebookInstanceLifecycleConfigSortOrder": {
+ "ProblemType": {
"type": "string",
"enum": [
- "Ascending",
- "Descending"
+ "BinaryClassification",
+ "MulticlassClassification",
+ "Regression"
]
},
- "NotebookInstanceLifecycleConfigSummary": {
+ "ProcessingClusterConfig": {
"type": "structure",
"required": [
- "NotebookInstanceLifecycleConfigName",
- "NotebookInstanceLifecycleConfigArn"
+ "InstanceCount",
+ "InstanceType",
+ "VolumeSizeInGB"
],
"members": {
- "NotebookInstanceLifecycleConfigName": {
- "shape": "NotebookInstanceLifecycleConfigName",
- "documentation": "The name of the lifecycle configuration.
"
+ "InstanceCount": {
+ "shape": "ProcessingInstanceCount",
+ "documentation": "The number of ML compute instances to use in the processing job. For distributed processing jobs, specify a value greater than 1. The default value is 1.
"
},
- "NotebookInstanceLifecycleConfigArn": {
- "shape": "NotebookInstanceLifecycleConfigArn",
- "documentation": "The Amazon Resource Name (ARN) of the lifecycle configuration.
"
+ "InstanceType": {
+ "shape": "ProcessingInstanceType",
+ "documentation": "The ML compute instance type for the processing job.
"
},
- "CreationTime": {
- "shape": "CreationTime",
- "documentation": "A timestamp that tells when the lifecycle configuration was created.
"
+ "VolumeSizeInGB": {
+ "shape": "ProcessingVolumeSizeInGB",
+ "documentation": "The size of the ML storage volume in gigabytes that you want to provision. You must specify sufficient ML storage for your scenario.
"
},
- "LastModifiedTime": {
- "shape": "LastModifiedTime",
- "documentation": "A timestamp that tells when the lifecycle configuration was last modified.
"
+ "VolumeKmsKeyId": {
+ "shape": "KmsKeyId",
+ "documentation": "The AWS Key Management Service (AWS KMS) key that Amazon SageMaker uses to encrypt data on the storage volume attached to the ML compute instance(s) that run the processing job.
"
}
},
- "documentation": "Provides a summary of a notebook instance lifecycle configuration.
"
+ "documentation": "Configuration for the cluster used to run a processing job.
"
},
- "NotebookInstanceLifecycleConfigSummaryList": {
- "type": "list",
- "member": {
- "shape": "NotebookInstanceLifecycleConfigSummary"
- }
+ "ProcessingEnvironmentKey": {
+ "type": "string",
+ "max": 256,
+ "pattern": "[a-zA-Z_][a-zA-Z0-9_]*"
},
- "NotebookInstanceLifecycleHook": {
+ "ProcessingEnvironmentMap": {
+ "type": "map",
+ "key": {
+ "shape": "ProcessingEnvironmentKey"
+ },
+ "value": {
+ "shape": "ProcessingEnvironmentValue"
+ },
+ "max": 100
+ },
+ "ProcessingEnvironmentValue": {
+ "type": "string",
+ "max": 256,
+ "pattern": "[\\S\\s]*"
+ },
+ "ProcessingInput": {
"type": "structure",
+ "required": [
+ "InputName",
+ "S3Input"
+ ],
"members": {
- "Content": {
- "shape": "NotebookInstanceLifecycleConfigContent",
- "documentation": "A base64-encoded string that contains a shell script for a notebook instance lifecycle configuration.
"
+ "InputName": {
+ "shape": "String",
+ "documentation": "The name of the inputs for the processing job.
"
+ },
+ "S3Input": {
+ "shape": "ProcessingS3Input",
+ "documentation": "The S3 inputs for the processing job.
"
}
},
- "documentation": "Contains the notebook instance lifecycle configuration script.
Each lifecycle configuration script has a limit of 16384 characters.
The value of the $PATH
environment variable that is available to both scripts is /sbin:bin:/usr/sbin:/usr/bin
.
View CloudWatch Logs for notebook instance lifecycle configurations in log group /aws/sagemaker/NotebookInstances
in log stream [notebook-instance-name]/[LifecycleConfigHook]
.
Lifecycle configuration scripts cannot run for longer than 5 minutes. If a script runs for longer than 5 minutes, it fails and the notebook instance is not created or started.
For information about notebook instance lifestyle configurations, see Step 2.1: (Optional) Customize a Notebook Instance.
"
+ "documentation": "The inputs for a processing job.
"
},
- "NotebookInstanceName": {
- "type": "string",
- "max": 63,
- "pattern": "^[a-zA-Z0-9](-*[a-zA-Z0-9])*"
+ "ProcessingInputs": {
+ "type": "list",
+ "member": {
+ "shape": "ProcessingInput"
+ },
+ "max": 10,
+ "min": 0
},
- "NotebookInstanceNameContains": {
- "type": "string",
- "max": 63,
- "pattern": "[a-zA-Z0-9-]+"
+ "ProcessingInstanceCount": {
+ "type": "integer",
+ "max": 100,
+ "min": 1
},
- "NotebookInstanceSortKey": {
+ "ProcessingInstanceType": {
"type": "string",
"enum": [
- "Name",
- "CreationTime",
- "Status"
+ "ml.t3.medium",
+ "ml.t3.large",
+ "ml.t3.xlarge",
+ "ml.t3.2xlarge",
+ "ml.m4.xlarge",
+ "ml.m4.2xlarge",
+ "ml.m4.4xlarge",
+ "ml.m4.10xlarge",
+ "ml.m4.16xlarge",
+ "ml.c4.xlarge",
+ "ml.c4.2xlarge",
+ "ml.c4.4xlarge",
+ "ml.c4.8xlarge",
+ "ml.p2.xlarge",
+ "ml.p2.8xlarge",
+ "ml.p2.16xlarge",
+ "ml.p3.2xlarge",
+ "ml.p3.8xlarge",
+ "ml.p3.16xlarge",
+ "ml.c5.xlarge",
+ "ml.c5.2xlarge",
+ "ml.c5.4xlarge",
+ "ml.c5.9xlarge",
+ "ml.c5.18xlarge",
+ "ml.m5.large",
+ "ml.m5.xlarge",
+ "ml.m5.2xlarge",
+ "ml.m5.4xlarge",
+ "ml.m5.12xlarge",
+ "ml.m5.24xlarge",
+ "ml.r5.large",
+ "ml.r5.xlarge",
+ "ml.r5.2xlarge",
+ "ml.r5.4xlarge",
+ "ml.r5.8xlarge",
+ "ml.r5.12xlarge",
+ "ml.r5.16xlarge",
+ "ml.r5.24xlarge"
]
},
- "NotebookInstanceSortOrder": {
+ "ProcessingJobArn": {
"type": "string",
- "enum": [
- "Ascending",
- "Descending"
- ]
+ "max": 256,
+ "pattern": "arn:aws[a-z\\-]*:sagemaker:[a-z0-9\\-]*:[0-9]{12}:processing-job/.*"
},
- "NotebookInstanceStatus": {
+ "ProcessingJobName": {
+ "type": "string",
+ "max": 63,
+ "min": 1,
+ "pattern": "^[a-zA-Z0-9](-*[a-zA-Z0-9])*"
+ },
+ "ProcessingJobStatus": {
"type": "string",
"enum": [
- "Pending",
- "InService",
- "Stopping",
- "Stopped",
+ "InProgress",
+ "Completed",
"Failed",
- "Deleting",
- "Updating"
+ "Stopping",
+ "Stopped"
]
},
- "NotebookInstanceSummary": {
- "type": "structure",
- "required": [
- "NotebookInstanceName",
- "NotebookInstanceArn"
- ],
- "members": {
- "NotebookInstanceName": {
- "shape": "NotebookInstanceName",
- "documentation": "The name of the notebook instance that you want a summary for.
"
- },
- "NotebookInstanceArn": {
- "shape": "NotebookInstanceArn",
- "documentation": "The Amazon Resource Name (ARN) of the notebook instance.
"
- },
- "NotebookInstanceStatus": {
- "shape": "NotebookInstanceStatus",
- "documentation": "The status of the notebook instance.
"
- },
- "Url": {
- "shape": "NotebookInstanceUrl",
- "documentation": "The URL that you use to connect to the Jupyter instance running in your notebook instance.
"
+ "ProcessingJobSummaries": {
+ "type": "list",
+ "member": {
+ "shape": "ProcessingJobSummary"
+ }
+ },
+ "ProcessingJobSummary": {
+ "type": "structure",
+ "required": [
+ "ProcessingJobName",
+ "ProcessingJobArn",
+ "CreationTime",
+ "ProcessingJobStatus"
+ ],
+ "members": {
+ "ProcessingJobName": {
+ "shape": "ProcessingJobName",
+ "documentation": "The name of the processing job.
"
},
- "InstanceType": {
- "shape": "InstanceType",
- "documentation": "The type of ML compute instance that the notebook instance is running on.
"
+ "ProcessingJobArn": {
+ "shape": "ProcessingJobArn",
+ "documentation": "The Amazon Resource Name (ARN) of the processing job..
"
},
"CreationTime": {
- "shape": "CreationTime",
- "documentation": "A timestamp that shows when the notebook instance was created.
"
+ "shape": "Timestamp",
+ "documentation": "The time at which the processing job was created.
"
+ },
+ "ProcessingEndTime": {
+ "shape": "Timestamp",
+ "documentation": "The time at which the processing job completed.
"
},
"LastModifiedTime": {
- "shape": "LastModifiedTime",
- "documentation": "A timestamp that shows when the notebook instance was last modified.
"
+ "shape": "Timestamp",
+ "documentation": "A timestamp that indicates the last time the processing job was modified.
"
},
- "NotebookInstanceLifecycleConfigName": {
- "shape": "NotebookInstanceLifecycleConfigName",
- "documentation": "The name of a notebook instance lifecycle configuration associated with this notebook instance.
For information about notebook instance lifestyle configurations, see Step 2.1: (Optional) Customize a Notebook Instance.
"
+ "ProcessingJobStatus": {
+ "shape": "ProcessingJobStatus",
+ "documentation": "The status of the processing job.
"
},
- "DefaultCodeRepository": {
- "shape": "CodeRepositoryNameOrUrl",
- "documentation": "The Git repository associated with the notebook instance as its default code repository. This can be either the name of a Git repository stored as a resource in your account, or the URL of a Git repository in AWS CodeCommit or in any other Git repository. When you open a notebook instance, it opens in the directory that contains this repository. For more information, see Associating Git Repositories with Amazon SageMaker Notebook Instances.
"
+ "FailureReason": {
+ "shape": "FailureReason",
+ "documentation": "A string, up to one KB in size, that contains the reason a processing job failed, if it failed.
"
},
- "AdditionalCodeRepositories": {
- "shape": "AdditionalCodeRepositoryNamesOrUrls",
- "documentation": "An array of up to three Git repositories associated with the notebook instance. These can be either the names of Git repositories stored as resources in your account, or the URL of Git repositories in AWS CodeCommit or in any other Git repository. These repositories are cloned at the same level as the default repository of your notebook instance. For more information, see Associating Git Repositories with Amazon SageMaker Notebook Instances.
"
- }
- },
- "documentation": "Provides summary information for an Amazon SageMaker notebook instance.
"
- },
- "NotebookInstanceSummaryList": {
- "type": "list",
- "member": {
- "shape": "NotebookInstanceSummary"
- }
- },
- "NotebookInstanceUrl": {
- "type": "string"
- },
- "NotebookInstanceVolumeSizeInGB": {
- "type": "integer",
- "max": 16384,
- "min": 5
- },
- "NotificationConfiguration": {
- "type": "structure",
- "members": {
- "NotificationTopicArn": {
- "shape": "NotificationTopicArn",
- "documentation": "The ARN for the SNS topic to which notifications should be published.
"
+ "ExitMessage": {
+ "shape": "ExitMessage",
+ "documentation": "An optional string, up to one KB in size, that contains metadata from the processing container when the processing job exits.
"
}
},
- "documentation": "Configures SNS notifications of available or expiring work items for work teams.
"
+ "documentation": "Summary of information about a processing job.
"
},
- "NotificationTopicArn": {
+ "ProcessingLocalPath": {
"type": "string",
- "pattern": "arn:aws[a-z\\-]*:sns:[a-z0-9\\-]*:[0-9]{12}:[a-zA-Z0-9_.-]*"
+ "max": 256,
+ "pattern": ".*"
},
- "NumberOfHumanWorkersPerDataObject": {
+ "ProcessingMaxRuntimeInSeconds": {
"type": "integer",
- "max": 9,
+ "max": 604800,
"min": 1
},
- "ObjectiveStatus": {
- "type": "string",
- "enum": [
- "Succeeded",
- "Pending",
- "Failed"
- ]
- },
- "ObjectiveStatusCounter": {
- "type": "integer",
- "min": 0
- },
- "ObjectiveStatusCounters": {
+ "ProcessingOutput": {
"type": "structure",
+ "required": [
+ "OutputName",
+ "S3Output"
+ ],
"members": {
- "Succeeded": {
- "shape": "ObjectiveStatusCounter",
- "documentation": "The number of training jobs whose final objective metric was evaluated by the hyperparameter tuning job and used in the hyperparameter tuning process.
"
- },
- "Pending": {
- "shape": "ObjectiveStatusCounter",
- "documentation": "The number of training jobs that are in progress and pending evaluation of their final objective metric.
"
+ "OutputName": {
+ "shape": "String",
+ "documentation": "The name for the processing job output.
"
},
- "Failed": {
- "shape": "ObjectiveStatusCounter",
- "documentation": "The number of training jobs whose final objective metric was not evaluated and used in the hyperparameter tuning process. This typically occurs when the training job failed or did not emit an objective metric.
"
+ "S3Output": {
+ "shape": "ProcessingS3Output",
+ "documentation": "Configuration for processing job outputs in Amazon S3.
"
}
},
- "documentation": "Specifies the number of training jobs that this hyperparameter tuning job launched, categorized by the status of their objective metric. The objective metric status shows whether the final objective metric for the training job has been evaluated by the tuning job and used in the hyperparameter tuning process.
"
- },
- "Operator": {
- "type": "string",
- "enum": [
- "Equals",
- "NotEquals",
- "GreaterThan",
- "GreaterThanOrEqualTo",
- "LessThan",
- "LessThanOrEqualTo",
- "Contains"
- ]
- },
- "OrderKey": {
- "type": "string",
- "enum": [
- "Ascending",
- "Descending"
- ]
+ "documentation": "Describes the results of a processing job.
"
},
- "OutputConfig": {
+ "ProcessingOutputConfig": {
"type": "structure",
"required": [
- "S3OutputLocation",
- "TargetDevice"
+ "Outputs"
],
"members": {
- "S3OutputLocation": {
- "shape": "S3Uri",
- "documentation": "Identifies the S3 path where you want Amazon SageMaker to store the model artifacts. For example, s3://bucket-name/key-name-prefix.
"
+ "Outputs": {
+ "shape": "ProcessingOutputs",
+ "documentation": "Output configuration information for a processing job.
"
},
- "TargetDevice": {
- "shape": "TargetDevice",
- "documentation": "Identifies the device that you want to run your model on after it has been compiled. For example: ml_c5.
"
+ "KmsKeyId": {
+ "shape": "KmsKeyId",
+ "documentation": "The AWS Key Management Service (AWS KMS) key that Amazon SageMaker uses to encrypt the processing job output. KmsKeyId
can be an ID of a KMS key, ARN of a KMS key, alias of a KMS key, or alias of a KMS key. The KmsKeyId
is applied to all outputs.
"
}
},
- "documentation": "Contains information about the output location for the compiled model and the device (target) that the model runs on.
"
+ "documentation": "The output configuration for the processing job.
"
},
- "OutputDataConfig": {
+ "ProcessingOutputs": {
+ "type": "list",
+ "member": {
+ "shape": "ProcessingOutput"
+ },
+ "max": 10,
+ "min": 0
+ },
+ "ProcessingResources": {
"type": "structure",
"required": [
- "S3OutputPath"
+ "ClusterConfig"
],
"members": {
- "KmsKeyId": {
- "shape": "KmsKeyId",
- "documentation": "The AWS Key Management Service (AWS KMS) key that Amazon SageMaker uses to encrypt the model artifacts at rest using Amazon S3 server-side encryption. The KmsKeyId
can be any of the following formats:
-
// KMS Key ID
\"1234abcd-12ab-34cd-56ef-1234567890ab\"
-
// Amazon Resource Name (ARN) of a KMS Key
\"arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab\"
-
// KMS Key Alias
\"alias/ExampleAlias\"
-
// Amazon Resource Name (ARN) of a KMS Key Alias
\"arn:aws:kms:us-west-2:111122223333:alias/ExampleAlias\"
If you use a KMS key ID or an alias of your master key, the Amazon SageMaker execution role must include permissions to call kms:Encrypt
. If you don't provide a KMS key ID, Amazon SageMaker uses the default KMS key for Amazon S3 for your role's account. Amazon SageMaker uses server-side encryption with KMS-managed keys for OutputDataConfig
. If you use a bucket policy with an s3:PutObject
permission that only allows objects with server-side encryption, set the condition key of s3:x-amz-server-side-encryption
to \"aws:kms\"
. For more information, see KMS-Managed Encryption Keys in the Amazon Simple Storage Service Developer Guide.
The KMS key policy must grant permission to the IAM role that you specify in your CreateTrainingJob
, CreateTransformJob
, or CreateHyperParameterTuningJob
requests. For more information, see Using Key Policies in AWS KMS in the AWS Key Management Service Developer Guide.
"
- },
- "S3OutputPath": {
- "shape": "S3Uri",
- "documentation": "Identifies the S3 path where you want Amazon SageMaker to store the model artifacts. For example, s3://bucket-name/key-name-prefix
.
"
+ "ClusterConfig": {
+ "shape": "ProcessingClusterConfig",
+ "documentation": "The configuration for the resources in a cluster used to run the processing job.
"
}
},
- "documentation": "Provides information about how to store model training results (model artifacts).
"
+ "documentation": "Identifies the resources, ML compute instances, and ML storage volumes to deploy for a processing job. In distributed training, you specify more than one instance.
"
},
- "PaginationToken": {
+ "ProcessingS3CompressionType": {
"type": "string",
- "max": 8192,
- "pattern": ".*"
+ "enum": [
+ "None",
+ "Gzip"
+ ]
},
- "ParameterKey": {
+ "ProcessingS3DataDistributionType": {
"type": "string",
- "max": 256,
- "pattern": ".*"
+ "enum": [
+ "FullyReplicated",
+ "ShardedByS3Key"
+ ]
},
- "ParameterName": {
+ "ProcessingS3DataType": {
"type": "string",
- "max": 256,
- "pattern": "[\\p{L}\\p{M}\\p{Z}\\p{S}\\p{N}\\p{P}]*"
+ "enum": [
+ "ManifestFile",
+ "S3Prefix"
+ ]
},
- "ParameterRange": {
+ "ProcessingS3Input": {
"type": "structure",
+ "required": [
+ "S3Uri",
+ "LocalPath",
+ "S3DataType",
+ "S3InputMode"
+ ],
"members": {
- "IntegerParameterRangeSpecification": {
- "shape": "IntegerParameterRangeSpecification",
- "documentation": "A IntegerParameterRangeSpecification
object that defines the possible values for an integer hyperparameter.
"
+ "S3Uri": {
+ "shape": "S3Uri",
+ "documentation": "The URI for the Amazon S3 storage where you want Amazon SageMaker to download the artifacts needed to run a processing job.
"
},
- "ContinuousParameterRangeSpecification": {
- "shape": "ContinuousParameterRangeSpecification",
- "documentation": "A ContinuousParameterRangeSpecification
object that defines the possible values for a continuous hyperparameter.
"
+ "LocalPath": {
+ "shape": "ProcessingLocalPath",
+ "documentation": "The local path to the Amazon S3 bucket where you want Amazon SageMaker to download the inputs to run a processing job. LocalPath
is an absolute path to the input data.
"
},
- "CategoricalParameterRangeSpecification": {
- "shape": "CategoricalParameterRangeSpecification",
- "documentation": "A CategoricalParameterRangeSpecification
object that defines the possible values for a categorical hyperparameter.
"
+ "S3DataType": {
+ "shape": "ProcessingS3DataType",
+ "documentation": "Whether you use an S3Prefix
or a ManifestFile
for the data type. If you choose S3Prefix
, S3Uri
identifies a key name prefix. Amazon SageMaker uses all objects with the specified key name prefix for the processing job. If you choose ManifestFile
, S3Uri
identifies an object that is a manifest file containing a list of object keys that you want Amazon SageMaker to use for the processing job.
"
+ },
+ "S3InputMode": {
+ "shape": "ProcessingS3InputMode",
+ "documentation": "Wether to use File
or Pipe
input mode. In File
mode, Amazon SageMaker copies the data from the input source onto the local Amazon Elastic Block Store (Amazon EBS) volumes before starting your training algorithm. This is the most commonly used input mode. In Pipe
mode, Amazon SageMaker streams input data from the source directly to your algorithm without using the EBS volume.
"
+ },
+ "S3DataDistributionType": {
+ "shape": "ProcessingS3DataDistributionType",
+ "documentation": "Whether the data stored in Amazon S3 is FullyReplicated
or ShardedByS3Key
.
"
+ },
+ "S3CompressionType": {
+ "shape": "ProcessingS3CompressionType",
+ "documentation": "Whether to use Gzip
compresion for Amazon S3 storage.
"
}
},
- "documentation": "Defines the possible values for categorical, continuous, and integer hyperparameters to be used by an algorithm.
"
+ "documentation": "Information about where and how you want to obtain the inputs for an processing job.
"
},
- "ParameterRanges": {
+ "ProcessingS3InputMode": {
+ "type": "string",
+ "enum": [
+ "Pipe",
+ "File"
+ ]
+ },
+ "ProcessingS3Output": {
"type": "structure",
+ "required": [
+ "S3Uri",
+ "LocalPath",
+ "S3UploadMode"
+ ],
"members": {
- "IntegerParameterRanges": {
- "shape": "IntegerParameterRanges",
- "documentation": "The array of IntegerParameterRange objects that specify ranges of integer hyperparameters that a hyperparameter tuning job searches.
"
+ "S3Uri": {
+ "shape": "S3Uri",
+ "documentation": "A URI that identifies the Amazon S3 bucket where you want Amazon SageMaker to save the results of a processing job.
"
},
- "ContinuousParameterRanges": {
- "shape": "ContinuousParameterRanges",
- "documentation": "The array of ContinuousParameterRange objects that specify ranges of continuous hyperparameters that a hyperparameter tuning job searches.
"
+ "LocalPath": {
+ "shape": "ProcessingLocalPath",
+ "documentation": "The local path to the Amazon S3 bucket where you want Amazon SageMaker to save the results of an processing job. LocalPath
is an absolute path to the input data.
"
},
- "CategoricalParameterRanges": {
- "shape": "CategoricalParameterRanges",
- "documentation": "The array of CategoricalParameterRange objects that specify ranges of categorical hyperparameters that a hyperparameter tuning job searches.
"
+ "S3UploadMode": {
+ "shape": "ProcessingS3UploadMode",
+ "documentation": "Whether to upload the results of the processing job continuously or after the job completes.
"
}
},
- "documentation": "Specifies ranges of integer, continuous, and categorical hyperparameters that a hyperparameter tuning job searches. The hyperparameter tuning job launches training jobs with hyperparameter values within these ranges to find the combination of values that result in the training job with the best performance as measured by the objective metric of the hyperparameter tuning job.
You can specify a maximum of 20 hyperparameters that a hyperparameter tuning job can search over. Every possible value of a categorical parameter range counts against this limit.
"
+ "documentation": "Information about where and how you want to store the results of an processing job.
"
},
- "ParameterType": {
+ "ProcessingS3UploadMode": {
"type": "string",
"enum": [
- "Integer",
"Continuous",
- "Categorical",
- "FreeText"
+ "EndOfJob"
]
},
- "ParameterValue": {
- "type": "string",
- "max": 256,
- "pattern": ".*"
- },
- "ParameterValues": {
- "type": "list",
- "member": {
- "shape": "ParameterValue"
- },
- "max": 20,
- "min": 1
- },
- "ParentHyperParameterTuningJob": {
+ "ProcessingStoppingCondition": {
"type": "structure",
+ "required": [
+ "MaxRuntimeInSeconds"
+ ],
"members": {
- "HyperParameterTuningJobName": {
- "shape": "HyperParameterTuningJobName",
- "documentation": "The name of the hyperparameter tuning job to be used as a starting point for a new hyperparameter tuning job.
"
+ "MaxRuntimeInSeconds": {
+ "shape": "ProcessingMaxRuntimeInSeconds",
+ "documentation": "Specifies the maximum runtime in seconds.
"
}
},
- "documentation": "A previously completed or stopped hyperparameter tuning job to be used as a starting point for a new hyperparameter tuning job.
"
+ "documentation": "Specifies a time limit for how long the processing job is allowed to run.
"
},
- "ParentHyperParameterTuningJobs": {
- "type": "list",
- "member": {
- "shape": "ParentHyperParameterTuningJob"
- },
- "max": 5,
+ "ProcessingVolumeSizeInGB": {
+ "type": "integer",
+ "max": 16384,
"min": 1
},
"ProductId": {
@@ -7213,7 +12888,11 @@
"ml.r5d.2xlarge",
"ml.r5d.4xlarge",
"ml.r5d.12xlarge",
- "ml.r5d.24xlarge"
+ "ml.r5d.24xlarge",
+ "ml.inf1.xlarge",
+ "ml.inf1.2xlarge",
+ "ml.inf1.6xlarge",
+ "ml.inf1.24xlarge"
]
},
"ProductionVariantList": {
@@ -7307,7 +12986,7 @@
"documentation": "Defines the amount of money paid to an Amazon Mechanical Turk worker in United States dollars.
"
}
},
- "documentation": "Defines the amount of money paid to an Amazon Mechanical Turk worker for each task performed.
Use one of the following prices for bounding box tasks. Prices are in US dollars and should be based on the complexity of the task; the longer it takes in your initial testing, the more you should offer.
-
0.036
-
0.048
-
0.060
-
0.072
-
0.120
-
0.240
-
0.360
-
0.480
-
0.600
-
0.720
-
0.840
-
0.960
-
1.080
-
1.200
Use one of the following prices for image classification, text classification, and custom tasks. Prices are in US dollars.
-
0.012
-
0.024
-
0.036
-
0.048
-
0.060
-
0.072
-
0.120
-
0.240
-
0.360
-
0.480
-
0.600
-
0.720
-
0.840
-
0.960
-
1.080
-
1.200
Use one of the following prices for semantic segmentation tasks. Prices are in US dollars.
"
+ "documentation": "Defines the amount of money paid to an Amazon Mechanical Turk worker for each task performed.
Use one of the following prices for bounding box tasks. Prices are in US dollars and should be based on the complexity of the task; the longer it takes in your initial testing, the more you should offer.
-
0.036
-
0.048
-
0.060
-
0.072
-
0.120
-
0.240
-
0.360
-
0.480
-
0.600
-
0.720
-
0.840
-
0.960
-
1.080
-
1.200
Use one of the following prices for image classification, text classification, and custom tasks. Prices are in US dollars.
-
0.012
-
0.024
-
0.036
-
0.048
-
0.060
-
0.072
-
0.120
-
0.240
-
0.360
-
0.480
-
0.600
-
0.720
-
0.840
-
0.960
-
1.080
-
1.200
Use one of the following prices for semantic segmentation tasks. Prices are in US dollars.
Use one of the following prices for Textract AnalyzeDocument Important Form Key Amazon Augmented AI review tasks. Prices are in US dollars.
-
2.400
-
2.280
-
2.160
-
2.040
-
1.920
-
1.800
-
1.680
-
1.560
-
1.440
-
1.320
-
1.200
-
1.080
-
0.960
-
0.840
-
0.720
-
0.600
-
0.480
-
0.360
-
0.240
-
0.120
-
0.072
-
0.060
-
0.048
-
0.036
-
0.024
-
0.012
Use one of the following prices for Rekognition DetectModerationLabels Amazon Augmented AI review tasks. Prices are in US dollars.
-
1.200
-
1.080
-
0.960
-
0.840
-
0.720
-
0.600
-
0.480
-
0.360
-
0.240
-
0.120
-
0.072
-
0.060
-
0.048
-
0.036
-
0.024
-
0.012
Use one of the following prices for Amazon Augmented AI custom human review tasks. Prices are in US dollars.
-
1.200
-
1.080
-
0.960
-
0.840
-
0.720
-
0.600
-
0.480
-
0.360
-
0.240
-
0.120
-
0.072
-
0.060
-
0.048
-
0.036
-
0.024
-
0.012
"
},
"RealtimeInferenceInstanceTypes": {
"type": "list",
@@ -7398,6 +13077,22 @@
"shape": "RenderingError"
}
},
+ "ResolvedAttributes": {
+ "type": "structure",
+ "members": {
+ "AutoMLJobObjective": {
+ "shape": "AutoMLJobObjective"
+ },
+ "ProblemType": {
+ "shape": "ProblemType",
+ "documentation": "The problem type.
"
+ },
+ "CompletionCriteria": {
+ "shape": "AutoMLJobCompletionCriteria"
+ }
+ },
+ "documentation": "The resolved attributes.
"
+ },
"ResourceArn": {
"type": "string",
"max": 256,
@@ -7430,6 +13125,10 @@
},
"documentation": "Describes the resources, including ML compute instances and ML storage volumes, to use for model training.
"
},
+ "ResourceId": {
+ "type": "string",
+ "max": 32
+ },
"ResourceLimits": {
"type": "structure",
"required": [
@@ -7454,10 +13153,27 @@
"min": 1,
"pattern": ".+"
},
+ "ResourceSpec": {
+ "type": "structure",
+ "members": {
+ "EnvironmentArn": {
+ "shape": "EnvironmentArn",
+ "documentation": "The Amazon Resource Name (ARN) of the environment.
"
+ },
+ "InstanceType": {
+ "shape": "AppInstanceType",
+ "documentation": "The instance type.
"
+ }
+ },
+ "documentation": "The instance type and quantity.
"
+ },
"ResourceType": {
"type": "string",
"enum": [
- "TrainingJob"
+ "TrainingJob",
+ "Experiment",
+ "ExperimentTrial",
+ "ExperimentTrialComponent"
]
},
"ResponseMIMEType": {
@@ -7471,6 +13187,23 @@
"shape": "ResponseMIMEType"
}
},
+ "RetentionPolicy": {
+ "type": "structure",
+ "members": {
+ "HomeEfsFileSystem": {
+ "shape": "RetentionType",
+ "documentation": "The home Amazon Elastic File System (EFS).
"
+ }
+ },
+ "documentation": "The retention policy.
"
+ },
+ "RetentionType": {
+ "type": "string",
+ "enum": [
+ "Retain",
+ "Delete"
+ ]
+ },
"RoleArn": {
"type": "string",
"max": 2048,
@@ -7484,6 +13217,34 @@
"Disabled"
]
},
+ "RuleConfigurationName": {
+ "type": "string",
+ "max": 256,
+ "min": 1,
+ "pattern": ".*"
+ },
+ "RuleEvaluationStatus": {
+ "type": "string",
+ "enum": [
+ "InProgress",
+ "NoIssuesFound",
+ "IssuesFound",
+ "Error",
+ "Stopping",
+ "Stopped"
+ ]
+ },
+ "RuleParameters": {
+ "type": "map",
+ "key": {
+ "shape": "ConfigKey"
+ },
+ "value": {
+ "shape": "ConfigValue"
+ },
+ "max": 20,
+ "min": 0
+ },
"S3DataDistribution": {
"type": "string",
"enum": [
@@ -7530,6 +13291,38 @@
"max": 1024,
"pattern": "^(https|s3)://([^/]+)/?(.*)$"
},
+ "SamplingPercentage": {
+ "type": "integer",
+ "max": 100,
+ "min": 0
+ },
+ "ScheduleConfig": {
+ "type": "structure",
+ "required": [
+ "ScheduleExpression"
+ ],
+ "members": {
+ "ScheduleExpression": {
+ "shape": "ScheduleExpression",
+ "documentation": "A cron expression that describes details about the monitoring schedule.
Currently the only supported cron expressions are:
-
If you want to set the job to start every hour, please use the following:
Hourly: cron(0 * ? * * *)
-
If you want to start the job daily:
cron(0 [00-23] ? * * *)
For example, the following are valid cron expressions:
To support running every 6, 12 hours, the following are also supported:
cron(0 [00-23]/[01-24] ? * * *)
For example, the following are valid cron expressions:
-
Every 12 hours, starting at 5pm UTC: cron(0 17/12 ? * * *)
-
Every two hours starting at midnight: cron(0 0/2 ? * * *)
-
Even though the cron expression is set to start at 5PM UTC, note that there could be a delay of 0-20 minutes from the actual requested time to run the execution.
-
We recommend that if you would like a daily schedule, you do not provide this parameter. Amazon SageMaker will pick a time for running every day.
"
+ }
+ },
+ "documentation": "Configuration details about the monitoring schedule.
"
+ },
+ "ScheduleExpression": {
+ "type": "string",
+ "max": 256,
+ "min": 1
+ },
+ "ScheduleStatus": {
+ "type": "string",
+ "enum": [
+ "Pending",
+ "Failed",
+ "Scheduled",
+ "Stopped"
+ ]
+ },
"SearchExpression": {
"type": "structure",
"members": {
@@ -7566,6 +13359,18 @@
"TrainingJob": {
"shape": "TrainingJob",
"documentation": "A TrainingJob
object that is returned as part of a Search
request.
"
+ },
+ "Experiment": {
+ "shape": "Experiment",
+ "documentation": "A summary of the properties of an experiment.
"
+ },
+ "Trial": {
+ "shape": "Trial",
+ "documentation": "A summary of the properties of a trial.
"
+ },
+ "TrialComponent": {
+ "shape": "TrialComponent",
+ "documentation": "A summary of the properties of a trial component.
"
}
},
"documentation": "An individual search result record that contains a single resource object.
"
@@ -7706,6 +13511,24 @@
"max": 43200,
"min": 1800
},
+ "SharingSettings": {
+ "type": "structure",
+ "members": {
+ "NotebookOutputOption": {
+ "shape": "NotebookOutputOption",
+ "documentation": "The notebook output option.
"
+ },
+ "S3OutputPath": {
+ "shape": "S3Uri",
+ "documentation": "The Amazon S3 output path.
"
+ },
+ "S3KmsKeyId": {
+ "shape": "KmsKeyId",
+ "documentation": "The AWS Key Management Service encryption key ID.
"
+ }
+ },
+ "documentation": "The sharing settings.
"
+ },
"ShuffleConfig": {
"type": "structure",
"required": [
@@ -7719,6 +13542,10 @@
},
"documentation": "A configuration for a shuffle option for input data in a channel. If you use S3Prefix
for S3DataType
, the results of the S3 key prefix matches are shuffled. If you use ManifestFile
, the order of the S3 object references in the ManifestFile
is shuffled. If you use AugmentedManifestFile
, the order of the JSON lines in the AugmentedManifestFile
is shuffled. The shuffling order is determined using the Seed
value.
For Pipe input mode, shuffling is done at the start of every epoch. With large datasets, this ensures that the order of the training data is different for each epoch, and it helps reduce bias and possible overfitting. In a multi-node training job when ShuffleConfig
is combined with S3DataDistributionType
of ShardedByS3Key
, the data is shuffled across nodes so that the content sent to a particular node on the first epoch might be sent to a different node on the second epoch.
"
},
+ "SingleSignOnUserIdentifier": {
+ "type": "string",
+ "pattern": "UserName"
+ },
"SortBy": {
"type": "string",
"enum": [
@@ -7727,6 +13554,13 @@
"Status"
]
},
+ "SortExperimentsBy": {
+ "type": "string",
+ "enum": [
+ "Name",
+ "CreationTime"
+ ]
+ },
"SortOrder": {
"type": "string",
"enum": [
@@ -7734,6 +13568,20 @@
"Descending"
]
},
+ "SortTrialComponentsBy": {
+ "type": "string",
+ "enum": [
+ "Name",
+ "CreationTime"
+ ]
+ },
+ "SortTrialsBy": {
+ "type": "string",
+ "enum": [
+ "Name",
+ "CreationTime"
+ ]
+ },
"SourceAlgorithm": {
"type": "structure",
"required": [
@@ -7772,6 +13620,10 @@
},
"documentation": "A list of algorithms that were used to create a model package.
"
},
+ "SourceType": {
+ "type": "string",
+ "max": 128
+ },
"SplitType": {
"type": "string",
"enum": [
@@ -7781,6 +13633,18 @@
"TFRecord"
]
},
+ "StartMonitoringScheduleRequest": {
+ "type": "structure",
+ "required": [
+ "MonitoringScheduleName"
+ ],
+ "members": {
+ "MonitoringScheduleName": {
+ "shape": "MonitoringScheduleName",
+ "documentation": "The name of the schedule to start.
"
+ }
+ }
+ },
"StartNotebookInstanceInput": {
"type": "structure",
"required": [
@@ -7793,9 +13657,26 @@
}
}
},
+ "StatusDetails": {
+ "type": "string",
+ "max": 1024,
+ "pattern": ".*"
+ },
"StatusMessage": {
"type": "string"
},
+ "StopAutoMLJobRequest": {
+ "type": "structure",
+ "required": [
+ "AutoMLJobName"
+ ],
+ "members": {
+ "AutoMLJobName": {
+ "shape": "AutoMLJobName",
+ "documentation": "The name of the object you are requesting.
"
+ }
+ }
+ },
"StopCompilationJobRequest": {
"type": "structure",
"required": [
@@ -7832,6 +13713,18 @@
}
}
},
+ "StopMonitoringScheduleRequest": {
+ "type": "structure",
+ "required": [
+ "MonitoringScheduleName"
+ ],
+ "members": {
+ "MonitoringScheduleName": {
+ "shape": "MonitoringScheduleName",
+ "documentation": "The name of the schedule to stop.
"
+ }
+ }
+ },
"StopNotebookInstanceInput": {
"type": "structure",
"required": [
@@ -7844,6 +13737,18 @@
}
}
},
+ "StopProcessingJobRequest": {
+ "type": "structure",
+ "required": [
+ "ProcessingJobName"
+ ],
+ "members": {
+ "ProcessingJobName": {
+ "shape": "ProcessingJobName",
+ "documentation": "The name of the processing job to stop.
"
+ }
+ }
+ },
"StopTrainingJobRequest": {
"type": "structure",
"required": [
@@ -7885,12 +13790,25 @@
"String": {
"type": "string"
},
+ "String1024": {
+ "type": "string",
+ "max": 1024
+ },
"String200": {
"type": "string",
"max": 200,
"min": 1,
"pattern": ".+"
},
+ "String256": {
+ "type": "string",
+ "max": 256
+ },
+ "StringParameterValue": {
+ "type": "string",
+ "max": 256,
+ "pattern": ".*"
+ },
"SubnetId": {
"type": "string",
"max": 32,
@@ -7998,6 +13916,10 @@
"min": 0,
"pattern": "^([\\p{L}\\p{Z}\\p{N}_.:/=+\\-@]*)$"
},
+ "TargetAttributeName": {
+ "type": "string",
+ "min": 1
+ },
"TargetDevice": {
"type": "string",
"enum": [
@@ -8008,6 +13930,7 @@
"ml_c5",
"ml_p2",
"ml_p3",
+ "ml_inf1",
"jetson_tx1",
"jetson_tx2",
"jetson_nano",
@@ -8021,6 +13944,9 @@
"qcs603"
]
},
+ "TargetObjectiveMetricValue": {
+ "type": "float"
+ },
"TaskAvailabilityLifetimeInSeconds": {
"type": "integer",
"max": 864000,
@@ -8073,6 +13999,43 @@
"min": 1,
"pattern": "[\\S\\s]+"
},
+ "TemplateContentSha256": {
+ "type": "string",
+ "max": 128000,
+ "min": 1
+ },
+ "TemplateUrl": {
+ "type": "string",
+ "max": 2048,
+ "min": 1
+ },
+ "TensorBoardAppSettings": {
+ "type": "structure",
+ "members": {
+ "DefaultResourceSpec": {
+ "shape": "ResourceSpec",
+ "documentation": "The instance type and quantity.
"
+ }
+ },
+ "documentation": "The TensorBoard app settings.
"
+ },
+ "TensorBoardOutputConfig": {
+ "type": "structure",
+ "required": [
+ "S3OutputPath"
+ ],
+ "members": {
+ "LocalPath": {
+ "shape": "DirectoryPath",
+ "documentation": "Path to local storage location for tensorBoard output. Defaults to /opt/ml/output/tensorboard
.
"
+ },
+ "S3OutputPath": {
+ "shape": "S3Uri",
+ "documentation": "Path to Amazon S3 storage location for TensorBoard output.
"
+ }
+ },
+ "documentation": "Configuration of storage locations for TensorBoard output.
"
+ },
"TenthFractionsOfACent": {
"type": "integer",
"max": 9,
@@ -8149,6 +14112,10 @@
"shape": "LabelingJobArn",
"documentation": "The Amazon Resource Name (ARN) of the labeling job.
"
},
+ "AutoMLJobArn": {
+ "shape": "AutoMLJobArn",
+ "documentation": "The Amazon Resource Name (ARN) of the job.
"
+ },
"ModelArtifacts": {
"shape": "ModelArtifacts",
"documentation": "Information about the Amazon S3 location that is configured for storing model artifacts.
"
@@ -8167,140 +14134,451 @@
},
"HyperParameters": {
"shape": "HyperParameters",
- "documentation": "Algorithm-specific parameters.
"
- },
- "AlgorithmSpecification": {
- "shape": "AlgorithmSpecification",
- "documentation": "Information about the algorithm used for training, and algorithm metadata.
"
- },
- "RoleArn": {
- "shape": "RoleArn",
- "documentation": "The AWS Identity and Access Management (IAM) role configured for the training job.
"
+ "documentation": "Algorithm-specific parameters.
"
+ },
+ "AlgorithmSpecification": {
+ "shape": "AlgorithmSpecification",
+ "documentation": "Information about the algorithm used for training, and algorithm metadata.
"
+ },
+ "RoleArn": {
+ "shape": "RoleArn",
+ "documentation": "The AWS Identity and Access Management (IAM) role configured for the training job.
"
+ },
+ "InputDataConfig": {
+ "shape": "InputDataConfig",
+ "documentation": "An array of Channel
objects that describes each data input channel.
"
+ },
+ "OutputDataConfig": {
+ "shape": "OutputDataConfig",
+ "documentation": "The S3 path where model artifacts that you configured when creating the job are stored. Amazon SageMaker creates subfolders for model artifacts.
"
+ },
+ "ResourceConfig": {
+ "shape": "ResourceConfig",
+ "documentation": "Resources, including ML compute instances and ML storage volumes, that are configured for model training.
"
+ },
+ "VpcConfig": {
+ "shape": "VpcConfig",
+ "documentation": "A VpcConfig object that specifies the VPC that this training job has access to. For more information, see Protect Training Jobs by Using an Amazon Virtual Private Cloud.
"
+ },
+ "StoppingCondition": {
+ "shape": "StoppingCondition",
+ "documentation": "Specifies a limit to how long a model training job can run. When the job reaches the time limit, Amazon SageMaker ends the training job. Use this API to cap model training costs.
To stop a job, Amazon SageMaker sends the algorithm the SIGTERM
signal, which delays job termination for 120 seconds. Algorithms can use this 120-second window to save the model artifacts, so the results of training are not lost.
"
+ },
+ "CreationTime": {
+ "shape": "Timestamp",
+ "documentation": "A timestamp that indicates when the training job was created.
"
+ },
+ "TrainingStartTime": {
+ "shape": "Timestamp",
+ "documentation": "Indicates the time when the training job starts on training instances. You are billed for the time interval between this time and the value of TrainingEndTime
. The start time in CloudWatch Logs might be later than this time. The difference is due to the time it takes to download the training data and to the size of the training container.
"
+ },
+ "TrainingEndTime": {
+ "shape": "Timestamp",
+ "documentation": "Indicates the time when the training job ends on training instances. You are billed for the time interval between the value of TrainingStartTime
and this time. For successful jobs and stopped jobs, this is the time after model artifacts are uploaded. For failed jobs, this is the time when Amazon SageMaker detects a job failure.
"
+ },
+ "LastModifiedTime": {
+ "shape": "Timestamp",
+ "documentation": "A timestamp that indicates when the status of the training job was last modified.
"
+ },
+ "SecondaryStatusTransitions": {
+ "shape": "SecondaryStatusTransitions",
+ "documentation": "A history of all of the secondary statuses that the training job has transitioned through.
"
+ },
+ "FinalMetricDataList": {
+ "shape": "FinalMetricDataList",
+ "documentation": "A list of final metric values that are set when the training job completes. Used only if the training job was configured to use metrics.
"
+ },
+ "EnableNetworkIsolation": {
+ "shape": "Boolean",
+ "documentation": "If the TrainingJob
was created with network isolation, the value is set to true
. If network isolation is enabled, nodes can't communicate beyond the VPC they run in.
"
+ },
+ "EnableInterContainerTrafficEncryption": {
+ "shape": "Boolean",
+ "documentation": "To encrypt all communications between ML compute instances in distributed training, choose True
. Encryption provides greater security for distributed training, but training might take longer. How long it takes depends on the amount of communication between compute instances, especially if you use a deep learning algorithm in distributed training.
"
+ },
+ "EnableManagedSpotTraining": {
+ "shape": "Boolean",
+ "documentation": "When true, enables managed spot training using Amazon EC2 Spot instances to run training jobs instead of on-demand instances. For more information, see model-managed-spot-training.
"
+ },
+ "CheckpointConfig": {
+ "shape": "CheckpointConfig"
+ },
+ "TrainingTimeInSeconds": {
+ "shape": "TrainingTimeInSeconds",
+ "documentation": "The training time in seconds.
"
+ },
+ "BillableTimeInSeconds": {
+ "shape": "BillableTimeInSeconds",
+ "documentation": "The billable time in seconds.
"
+ },
+ "DebugHookConfig": {
+ "shape": "DebugHookConfig"
+ },
+ "ExperimentConfig": {
+ "shape": "ExperimentConfig"
+ },
+ "DebugRuleConfigurations": {
+ "shape": "DebugRuleConfigurations",
+ "documentation": "Information about the debug rule configuration.
"
+ },
+ "TensorBoardOutputConfig": {
+ "shape": "TensorBoardOutputConfig"
+ },
+ "DebugRuleEvaluationStatuses": {
+ "shape": "DebugRuleEvaluationStatuses",
+ "documentation": "Information about the evaluation status of the rules for the training job.
"
+ },
+ "Tags": {
+ "shape": "TagList",
+ "documentation": "An array of key-value pairs. For more information, see Using Cost Allocation Tags in the AWS Billing and Cost Management User Guide.
"
+ }
+ },
+ "documentation": "Contains information about a training job.
"
+ },
+ "TrainingJobArn": {
+ "type": "string",
+ "max": 256,
+ "pattern": "arn:aws[a-z\\-]*:sagemaker:[a-z0-9\\-]*:[0-9]{12}:training-job/.*"
+ },
+ "TrainingJobDefinition": {
+ "type": "structure",
+ "required": [
+ "TrainingInputMode",
+ "InputDataConfig",
+ "OutputDataConfig",
+ "ResourceConfig",
+ "StoppingCondition"
+ ],
+ "members": {
+ "TrainingInputMode": {
+ "shape": "TrainingInputMode",
+ "documentation": "The input mode used by the algorithm for the training job. For the input modes that Amazon SageMaker algorithms support, see Algorithms.
If an algorithm supports the File
input mode, Amazon SageMaker downloads the training data from S3 to the provisioned ML storage Volume, and mounts the directory to docker volume for training container. If an algorithm supports the Pipe
input mode, Amazon SageMaker streams data directly from S3 to the container.
"
+ },
+ "HyperParameters": {
+ "shape": "HyperParameters",
+ "documentation": "The hyperparameters used for the training job.
"
},
"InputDataConfig": {
"shape": "InputDataConfig",
- "documentation": "An array of Channel
objects that describes each data input channel.
"
+ "documentation": "An array of Channel
objects, each of which specifies an input source.
"
},
"OutputDataConfig": {
"shape": "OutputDataConfig",
- "documentation": "The S3 path where model artifacts that you configured when creating the job are stored. Amazon SageMaker creates subfolders for model artifacts.
"
+ "documentation": "the path to the S3 bucket where you want to store model artifacts. Amazon SageMaker creates subfolders for the artifacts.
"
},
"ResourceConfig": {
"shape": "ResourceConfig",
- "documentation": "Resources, including ML compute instances and ML storage volumes, that are configured for model training.
"
- },
- "VpcConfig": {
- "shape": "VpcConfig",
- "documentation": "A VpcConfig object that specifies the VPC that this training job has access to. For more information, see Protect Training Jobs by Using an Amazon Virtual Private Cloud.
"
+ "documentation": "The resources, including the ML compute instances and ML storage volumes, to use for model training.
"
},
"StoppingCondition": {
"shape": "StoppingCondition",
- "documentation": "Specifies a limit to how long a model training job can run. When the job reaches the time limit, Amazon SageMaker ends the training job. Use this API to cap model training costs.
To stop a job, Amazon SageMaker sends the algorithm the SIGTERM
signal, which delays job termination for 120 seconds. Algorithms can use this 120-second window to save the model artifacts, so the results of training are not lost.
"
+ "documentation": "Specifies a limit to how long a model training job can run. When the job reaches the time limit, Amazon SageMaker ends the training job. Use this API to cap model training costs.
To stop a job, Amazon SageMaker sends the algorithm the SIGTERM signal, which delays job termination for 120 seconds. Algorithms can use this 120-second window to save the model artifacts.
"
+ }
+ },
+ "documentation": "Defines the input needed to run a training job using the algorithm.
"
+ },
+ "TrainingJobEarlyStoppingType": {
+ "type": "string",
+ "enum": [
+ "Off",
+ "Auto"
+ ]
+ },
+ "TrainingJobName": {
+ "type": "string",
+ "max": 63,
+ "min": 1,
+ "pattern": "^[a-zA-Z0-9](-*[a-zA-Z0-9])*"
+ },
+ "TrainingJobSortByOptions": {
+ "type": "string",
+ "enum": [
+ "Name",
+ "CreationTime",
+ "Status",
+ "FinalObjectiveMetricValue"
+ ]
+ },
+ "TrainingJobStatus": {
+ "type": "string",
+ "enum": [
+ "InProgress",
+ "Completed",
+ "Failed",
+ "Stopping",
+ "Stopped"
+ ]
+ },
+ "TrainingJobStatusCounter": {
+ "type": "integer",
+ "min": 0
+ },
+ "TrainingJobStatusCounters": {
+ "type": "structure",
+ "members": {
+ "Completed": {
+ "shape": "TrainingJobStatusCounter",
+ "documentation": "The number of completed training jobs launched by the hyperparameter tuning job.
"
},
- "CreationTime": {
- "shape": "Timestamp",
- "documentation": "A timestamp that indicates when the training job was created.
"
+ "InProgress": {
+ "shape": "TrainingJobStatusCounter",
+ "documentation": "The number of in-progress training jobs launched by a hyperparameter tuning job.
"
},
- "TrainingStartTime": {
+ "RetryableError": {
+ "shape": "TrainingJobStatusCounter",
+ "documentation": "The number of training jobs that failed, but can be retried. A failed training job can be retried only if it failed because an internal service error occurred.
"
+ },
+ "NonRetryableError": {
+ "shape": "TrainingJobStatusCounter",
+ "documentation": "The number of training jobs that failed and can't be retried. A failed training job can't be retried if it failed because a client error occurred.
"
+ },
+ "Stopped": {
+ "shape": "TrainingJobStatusCounter",
+ "documentation": "The number of training jobs launched by a hyperparameter tuning job that were manually stopped.
"
+ }
+ },
+ "documentation": "The numbers of training jobs launched by a hyperparameter tuning job, categorized by status.
"
+ },
+ "TrainingJobSummaries": {
+ "type": "list",
+ "member": {
+ "shape": "TrainingJobSummary"
+ }
+ },
+ "TrainingJobSummary": {
+ "type": "structure",
+ "required": [
+ "TrainingJobName",
+ "TrainingJobArn",
+ "CreationTime",
+ "TrainingJobStatus"
+ ],
+ "members": {
+ "TrainingJobName": {
+ "shape": "TrainingJobName",
+ "documentation": "The name of the training job that you want a summary for.
"
+ },
+ "TrainingJobArn": {
+ "shape": "TrainingJobArn",
+ "documentation": "The Amazon Resource Name (ARN) of the training job.
"
+ },
+ "CreationTime": {
"shape": "Timestamp",
- "documentation": "Indicates the time when the training job starts on training instances. You are billed for the time interval between this time and the value of TrainingEndTime
. The start time in CloudWatch Logs might be later than this time. The difference is due to the time it takes to download the training data and to the size of the training container.
"
+ "documentation": "A timestamp that shows when the training job was created.
"
},
"TrainingEndTime": {
"shape": "Timestamp",
- "documentation": "Indicates the time when the training job ends on training instances. You are billed for the time interval between the value of TrainingStartTime
and this time. For successful jobs and stopped jobs, this is the time after model artifacts are uploaded. For failed jobs, this is the time when Amazon SageMaker detects a job failure.
"
+ "documentation": "A timestamp that shows when the training job ended. This field is set only if the training job has one of the terminal statuses (Completed
, Failed
, or Stopped
).
"
},
"LastModifiedTime": {
"shape": "Timestamp",
- "documentation": "A timestamp that indicates when the status of the training job was last modified.
"
+ "documentation": " Timestamp when the training job was last modified.
"
},
- "SecondaryStatusTransitions": {
- "shape": "SecondaryStatusTransitions",
- "documentation": "A history of all of the secondary statuses that the training job has transitioned through.
"
+ "TrainingJobStatus": {
+ "shape": "TrainingJobStatus",
+ "documentation": "The status of the training job.
"
+ }
+ },
+ "documentation": "Provides summary information about a training job.
"
+ },
+ "TrainingSpecification": {
+ "type": "structure",
+ "required": [
+ "TrainingImage",
+ "SupportedTrainingInstanceTypes",
+ "TrainingChannels"
+ ],
+ "members": {
+ "TrainingImage": {
+ "shape": "Image",
+ "documentation": "The Amazon ECR registry path of the Docker image that contains the training algorithm.
"
},
- "FinalMetricDataList": {
- "shape": "FinalMetricDataList",
- "documentation": "A list of final metric values that are set when the training job completes. Used only if the training job was configured to use metrics.
"
+ "TrainingImageDigest": {
+ "shape": "ImageDigest",
+ "documentation": "An MD5 hash of the training algorithm that identifies the Docker image used for training.
"
},
- "EnableNetworkIsolation": {
- "shape": "Boolean",
- "documentation": "If the TrainingJob
was created with network isolation, the value is set to true
. If network isolation is enabled, nodes can't communicate beyond the VPC they run in.
"
+ "SupportedHyperParameters": {
+ "shape": "HyperParameterSpecifications",
+ "documentation": "A list of the HyperParameterSpecification
objects, that define the supported hyperparameters. This is required if the algorithm supports automatic model tuning.>
"
},
- "EnableInterContainerTrafficEncryption": {
+ "SupportedTrainingInstanceTypes": {
+ "shape": "TrainingInstanceTypes",
+ "documentation": "A list of the instance types that this algorithm can use for training.
"
+ },
+ "SupportsDistributedTraining": {
"shape": "Boolean",
- "documentation": "To encrypt all communications between ML compute instances in distributed training, choose True
. Encryption provides greater security for distributed training, but training might take longer. How long it takes depends on the amount of communication between compute instances, especially if you use a deep learning algorithm in distributed training.
"
+ "documentation": "Indicates whether the algorithm supports distributed training. If set to false, buyers can't request more than one instance during training.
"
},
- "Tags": {
- "shape": "TagList",
- "documentation": "An array of key-value pairs. For more information, see Using Cost Allocation Tags in the AWS Billing and Cost Management User Guide.
"
+ "MetricDefinitions": {
+ "shape": "MetricDefinitionList",
+ "documentation": "A list of MetricDefinition
objects, which are used for parsing metrics generated by the algorithm.
"
+ },
+ "TrainingChannels": {
+ "shape": "ChannelSpecifications",
+ "documentation": "A list of ChannelSpecification
objects, which specify the input sources to be used by the algorithm.
"
+ },
+ "SupportedTuningJobObjectiveMetrics": {
+ "shape": "HyperParameterTuningJobObjectives",
+ "documentation": "A list of the metrics that the algorithm emits that can be used as the objective metric in a hyperparameter tuning job.
"
+ }
+ },
+ "documentation": "Defines how the algorithm is used for a training job.
"
+ },
+ "TrainingTimeInSeconds": {
+ "type": "integer",
+ "min": 1
+ },
+ "TransformDataSource": {
+ "type": "structure",
+ "required": [
+ "S3DataSource"
+ ],
+ "members": {
+ "S3DataSource": {
+ "shape": "TransformS3DataSource",
+ "documentation": "The S3 location of the data source that is associated with a channel.
"
+ }
+ },
+ "documentation": "Describes the location of the channel data.
"
+ },
+ "TransformEnvironmentKey": {
+ "type": "string",
+ "max": 1024,
+ "pattern": "[a-zA-Z_][a-zA-Z0-9_]*"
+ },
+ "TransformEnvironmentMap": {
+ "type": "map",
+ "key": {
+ "shape": "TransformEnvironmentKey"
+ },
+ "value": {
+ "shape": "TransformEnvironmentValue"
+ },
+ "max": 16
+ },
+ "TransformEnvironmentValue": {
+ "type": "string",
+ "max": 10240,
+ "pattern": "[\\S\\s]*"
+ },
+ "TransformInput": {
+ "type": "structure",
+ "required": [
+ "DataSource"
+ ],
+ "members": {
+ "DataSource": {
+ "shape": "TransformDataSource",
+ "documentation": "Describes the location of the channel data, which is, the S3 location of the input data that the model can consume.
"
+ },
+ "ContentType": {
+ "shape": "ContentType",
+ "documentation": "The multipurpose internet mail extension (MIME) type of the data. Amazon SageMaker uses the MIME type with each http call to transfer data to the transform job.
"
+ },
+ "CompressionType": {
+ "shape": "CompressionType",
+ "documentation": "If your transform data is compressed, specify the compression type. Amazon SageMaker automatically decompresses the data for the transform job accordingly. The default value is None
.
"
+ },
+ "SplitType": {
+ "shape": "SplitType",
+ "documentation": "The method to use to split the transform job's data files into smaller batches. Splitting is necessary when the total size of each object is too large to fit in a single request. You can also use data splitting to improve performance by processing multiple concurrent mini-batches. The default value for SplitType
is None
, which indicates that input data files are not split, and request payloads contain the entire contents of an input object. Set the value of this parameter to Line
to split records on a newline character boundary. SplitType
also supports a number of record-oriented binary data formats.
When splitting is enabled, the size of a mini-batch depends on the values of the BatchStrategy
and MaxPayloadInMB
parameters. When the value of BatchStrategy
is MultiRecord
, Amazon SageMaker sends the maximum number of records in each request, up to the MaxPayloadInMB
limit. If the value of BatchStrategy
is SingleRecord
, Amazon SageMaker sends individual records in each request.
Some data formats represent a record as a binary payload wrapped with extra padding bytes. When splitting is applied to a binary data format, padding is removed if the value of BatchStrategy
is set to SingleRecord
. Padding is not removed if the value of BatchStrategy
is set to MultiRecord
.
For more information about RecordIO
, see Create a Dataset Using RecordIO in the MXNet documentation. For more information about TFRecord
, see Consuming TFRecord data in the TensorFlow documentation.
"
}
},
- "documentation": "Contains information about a training job.
"
+ "documentation": "Describes the input source of a transform job and the way the transform job consumes it.
"
+ },
+ "TransformInstanceCount": {
+ "type": "integer",
+ "min": 1
+ },
+ "TransformInstanceType": {
+ "type": "string",
+ "enum": [
+ "ml.m4.xlarge",
+ "ml.m4.2xlarge",
+ "ml.m4.4xlarge",
+ "ml.m4.10xlarge",
+ "ml.m4.16xlarge",
+ "ml.c4.xlarge",
+ "ml.c4.2xlarge",
+ "ml.c4.4xlarge",
+ "ml.c4.8xlarge",
+ "ml.p2.xlarge",
+ "ml.p2.8xlarge",
+ "ml.p2.16xlarge",
+ "ml.p3.2xlarge",
+ "ml.p3.8xlarge",
+ "ml.p3.16xlarge",
+ "ml.c5.xlarge",
+ "ml.c5.2xlarge",
+ "ml.c5.4xlarge",
+ "ml.c5.9xlarge",
+ "ml.c5.18xlarge",
+ "ml.m5.large",
+ "ml.m5.xlarge",
+ "ml.m5.2xlarge",
+ "ml.m5.4xlarge",
+ "ml.m5.12xlarge",
+ "ml.m5.24xlarge"
+ ]
+ },
+ "TransformInstanceTypes": {
+ "type": "list",
+ "member": {
+ "shape": "TransformInstanceType"
+ },
+ "min": 1
},
- "TrainingJobArn": {
+ "TransformJobArn": {
"type": "string",
"max": 256,
- "pattern": "arn:aws[a-z\\-]*:sagemaker:[a-z0-9\\-]*:[0-9]{12}:training-job/.*"
+ "pattern": "arn:aws[a-z\\-]*:sagemaker:[a-z0-9\\-]*:[0-9]{12}:transform-job/.*"
},
- "TrainingJobDefinition": {
+ "TransformJobDefinition": {
"type": "structure",
"required": [
- "TrainingInputMode",
- "InputDataConfig",
- "OutputDataConfig",
- "ResourceConfig",
- "StoppingCondition"
+ "TransformInput",
+ "TransformOutput",
+ "TransformResources"
],
"members": {
- "TrainingInputMode": {
- "shape": "TrainingInputMode",
- "documentation": "The input mode used by the algorithm for the training job. For the input modes that Amazon SageMaker algorithms support, see Algorithms.
If an algorithm supports the File
input mode, Amazon SageMaker downloads the training data from S3 to the provisioned ML storage Volume, and mounts the directory to docker volume for training container. If an algorithm supports the Pipe
input mode, Amazon SageMaker streams data directly from S3 to the container.
"
+ "MaxConcurrentTransforms": {
+ "shape": "MaxConcurrentTransforms",
+ "documentation": "The maximum number of parallel requests that can be sent to each instance in a transform job. The default value is 1.
"
},
- "HyperParameters": {
- "shape": "HyperParameters",
- "documentation": "The hyperparameters used for the training job.
"
+ "MaxPayloadInMB": {
+ "shape": "MaxPayloadInMB",
+ "documentation": "The maximum payload size allowed, in MB. A payload is the data portion of a record (without metadata).
"
},
- "InputDataConfig": {
- "shape": "InputDataConfig",
- "documentation": "An array of Channel
objects, each of which specifies an input source.
"
+ "BatchStrategy": {
+ "shape": "BatchStrategy",
+ "documentation": "A string that determines the number of records included in a single mini-batch.
SingleRecord
means only one record is used per mini-batch. MultiRecord
means a mini-batch is set to contain as many records that can fit within the MaxPayloadInMB
limit.
"
},
- "OutputDataConfig": {
- "shape": "OutputDataConfig",
- "documentation": "the path to the S3 bucket where you want to store model artifacts. Amazon SageMaker creates subfolders for the artifacts.
"
+ "Environment": {
+ "shape": "TransformEnvironmentMap",
+ "documentation": "The environment variables to set in the Docker container. We support up to 16 key and values entries in the map.
"
},
- "ResourceConfig": {
- "shape": "ResourceConfig",
- "documentation": "The resources, including the ML compute instances and ML storage volumes, to use for model training.
"
+ "TransformInput": {
+ "shape": "TransformInput",
+ "documentation": "A description of the input source and the way the transform job consumes it.
"
},
- "StoppingCondition": {
- "shape": "StoppingCondition",
- "documentation": "Specifies a limit to how long a model training job can run. When the job reaches the time limit, Amazon SageMaker ends the training job. Use this API to cap model training costs.
To stop a job, Amazon SageMaker sends the algorithm the SIGTERM signal, which delays job termination for 120 seconds. Algorithms can use this 120-second window to save the model artifacts.
"
+ "TransformOutput": {
+ "shape": "TransformOutput",
+ "documentation": "Identifies the Amazon S3 location where you want Amazon SageMaker to save the results from the transform job.
"
+ },
+ "TransformResources": {
+ "shape": "TransformResources",
+ "documentation": "Identifies the ML compute instances for the transform job.
"
}
},
- "documentation": "Defines the input needed to run a training job using the algorithm.
"
- },
- "TrainingJobEarlyStoppingType": {
- "type": "string",
- "enum": [
- "Off",
- "Auto"
- ]
+ "documentation": "Defines the input needed to run a transform job using the inference specification specified in the algorithm.
"
},
- "TrainingJobName": {
+ "TransformJobName": {
"type": "string",
"max": 63,
"min": 1,
"pattern": "^[a-zA-Z0-9](-*[a-zA-Z0-9])*"
},
- "TrainingJobSortByOptions": {
- "type": "string",
- "enum": [
- "Name",
- "CreationTime",
- "Status",
- "FinalObjectiveMetricValue"
- ]
- },
- "TrainingJobStatus": {
+ "TransformJobStatus": {
"type": "string",
"enum": [
"InProgress",
@@ -8310,395 +14588,578 @@
"Stopped"
]
},
- "TrainingJobStatusCounter": {
- "type": "integer",
- "min": 0
+ "TransformJobSummaries": {
+ "type": "list",
+ "member": {
+ "shape": "TransformJobSummary"
+ }
},
- "TrainingJobStatusCounters": {
+ "TransformJobSummary": {
"type": "structure",
+ "required": [
+ "TransformJobName",
+ "TransformJobArn",
+ "CreationTime",
+ "TransformJobStatus"
+ ],
"members": {
- "Completed": {
- "shape": "TrainingJobStatusCounter",
- "documentation": "The number of completed training jobs launched by the hyperparameter tuning job.
"
+ "TransformJobName": {
+ "shape": "TransformJobName",
+ "documentation": "The name of the transform job.
"
},
- "InProgress": {
- "shape": "TrainingJobStatusCounter",
- "documentation": "The number of in-progress training jobs launched by a hyperparameter tuning job.
"
+ "TransformJobArn": {
+ "shape": "TransformJobArn",
+ "documentation": "The Amazon Resource Name (ARN) of the transform job.
"
},
- "RetryableError": {
- "shape": "TrainingJobStatusCounter",
- "documentation": "The number of training jobs that failed, but can be retried. A failed training job can be retried only if it failed because an internal service error occurred.
"
+ "CreationTime": {
+ "shape": "Timestamp",
+ "documentation": "A timestamp that shows when the transform Job was created.
"
},
- "NonRetryableError": {
- "shape": "TrainingJobStatusCounter",
- "documentation": "The number of training jobs that failed and can't be retried. A failed training job can't be retried if it failed because a client error occurred.
"
+ "TransformEndTime": {
+ "shape": "Timestamp",
+ "documentation": "Indicates when the transform job ends on compute instances. For successful jobs and stopped jobs, this is the exact time recorded after the results are uploaded. For failed jobs, this is when Amazon SageMaker detected that the job failed.
"
},
- "Stopped": {
- "shape": "TrainingJobStatusCounter",
- "documentation": "The number of training jobs launched by a hyperparameter tuning job that were manually stopped.
"
+ "LastModifiedTime": {
+ "shape": "Timestamp",
+ "documentation": "Indicates when the transform job was last modified.
"
+ },
+ "TransformJobStatus": {
+ "shape": "TransformJobStatus",
+ "documentation": "The status of the transform job.
"
+ },
+ "FailureReason": {
+ "shape": "FailureReason",
+ "documentation": "If the transform job failed, the reason it failed.
"
}
},
- "documentation": "The numbers of training jobs launched by a hyperparameter tuning job, categorized by status.
"
+ "documentation": "Provides a summary of a transform job. Multiple TransformJobSummary
objects are returned as a list after in response to a ListTransformJobs call.
"
},
- "TrainingJobSummaries": {
- "type": "list",
- "member": {
- "shape": "TrainingJobSummary"
- }
+ "TransformOutput": {
+ "type": "structure",
+ "required": [
+ "S3OutputPath"
+ ],
+ "members": {
+ "S3OutputPath": {
+ "shape": "S3Uri",
+ "documentation": "The Amazon S3 path where you want Amazon SageMaker to store the results of the transform job. For example, s3://bucket-name/key-name-prefix
.
For every S3 object used as input for the transform job, batch transform stores the transformed data with an .out
suffix in a corresponding subfolder in the location in the output prefix. For example, for the input data stored at s3://bucket-name/input-name-prefix/dataset01/data.csv
, batch transform stores the transformed data at s3://bucket-name/output-name-prefix/input-name-prefix/data.csv.out
. Batch transform doesn't upload partially processed objects. For an input S3 object that contains multiple records, it creates an .out
file only if the transform job succeeds on the entire file. When the input contains multiple S3 objects, the batch transform job processes the listed S3 objects and uploads only the output for successfully processed objects. If any object fails in the transform job batch transform marks the job as failed to prompt investigation.
"
+ },
+ "Accept": {
+ "shape": "Accept",
+ "documentation": "The MIME type used to specify the output data. Amazon SageMaker uses the MIME type with each http call to transfer data from the transform job.
"
+ },
+ "AssembleWith": {
+ "shape": "AssemblyType",
+ "documentation": "Defines how to assemble the results of the transform job as a single S3 object. Choose a format that is most convenient to you. To concatenate the results in binary format, specify None
. To add a newline character at the end of every transformed record, specify Line
.
"
+ },
+ "KmsKeyId": {
+ "shape": "KmsKeyId",
+ "documentation": "The AWS Key Management Service (AWS KMS) key that Amazon SageMaker uses to encrypt the model artifacts at rest using Amazon S3 server-side encryption. The KmsKeyId
can be any of the following formats:
-
// KMS Key ID
\"1234abcd-12ab-34cd-56ef-1234567890ab\"
-
// Amazon Resource Name (ARN) of a KMS Key
\"arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab\"
-
// KMS Key Alias
\"alias/ExampleAlias\"
-
// Amazon Resource Name (ARN) of a KMS Key Alias
\"arn:aws:kms:us-west-2:111122223333:alias/ExampleAlias\"
If you don't provide a KMS key ID, Amazon SageMaker uses the default KMS key for Amazon S3 for your role's account. For more information, see KMS-Managed Encryption Keys in the Amazon Simple Storage Service Developer Guide.
The KMS key policy must grant permission to the IAM role that you specify in your CreateModel request. For more information, see Using Key Policies in AWS KMS in the AWS Key Management Service Developer Guide.
"
+ }
+ },
+ "documentation": "Describes the results of a transform job.
"
},
- "TrainingJobSummary": {
+ "TransformResources": {
"type": "structure",
"required": [
- "TrainingJobName",
- "TrainingJobArn",
- "CreationTime",
- "TrainingJobStatus"
+ "InstanceType",
+ "InstanceCount"
+ ],
+ "members": {
+ "InstanceType": {
+ "shape": "TransformInstanceType",
+ "documentation": "The ML compute instance type for the transform job. If you are using built-in algorithms to transform moderately sized datasets, we recommend using ml.m4.xlarge or ml.m5.large
instance types.
"
+ },
+ "InstanceCount": {
+ "shape": "TransformInstanceCount",
+ "documentation": "The number of ML compute instances to use in the transform job. For distributed transform jobs, specify a value greater than 1. The default value is 1
.
"
+ },
+ "VolumeKmsKeyId": {
+ "shape": "KmsKeyId",
+ "documentation": "The AWS Key Management Service (AWS KMS) key that Amazon SageMaker uses to encrypt model data on the storage volume attached to the ML compute instance(s) that run the batch transform job. The VolumeKmsKeyId
can be any of the following formats:
-
// KMS Key ID
\"1234abcd-12ab-34cd-56ef-1234567890ab\"
-
// Amazon Resource Name (ARN) of a KMS Key
\"arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab\"
"
+ }
+ },
+ "documentation": "Describes the resources, including ML instance types and ML instance count, to use for transform job.
"
+ },
+ "TransformS3DataSource": {
+ "type": "structure",
+ "required": [
+ "S3DataType",
+ "S3Uri"
],
"members": {
- "TrainingJobName": {
- "shape": "TrainingJobName",
- "documentation": "The name of the training job that you want a summary for.
"
+ "S3DataType": {
+ "shape": "S3DataType",
+ "documentation": "If you choose S3Prefix
, S3Uri
identifies a key name prefix. Amazon SageMaker uses all objects with the specified key name prefix for batch transform.
If you choose ManifestFile
, S3Uri
identifies an object that is a manifest file containing a list of object keys that you want Amazon SageMaker to use for batch transform.
The following values are compatible: ManifestFile
, S3Prefix
The following value is not compatible: AugmentedManifestFile
"
+ },
+ "S3Uri": {
+ "shape": "S3Uri",
+ "documentation": "Depending on the value specified for the S3DataType
, identifies either a key name prefix or a manifest. For example:
-
A key name prefix might look like this: s3://bucketname/exampleprefix
.
-
A manifest might look like this: s3://bucketname/example.manifest
The manifest is an S3 object which is a JSON file with the following format:
[ {\"prefix\": \"s3://customer_bucket/some/prefix/\"},
\"relative/path/to/custdata-1\",
\"relative/path/custdata-2\",
...
\"relative/path/custdata-N\"
]
The preceding JSON matches the following s3Uris
:
s3://customer_bucket/some/prefix/relative/path/to/custdata-1
s3://customer_bucket/some/prefix/relative/path/custdata-2
...
s3://customer_bucket/some/prefix/relative/path/custdata-N
The complete set of S3Uris
in this manifest constitutes the input data for the channel for this datasource. The object that each S3Uris
points to must be readable by the IAM role that Amazon SageMaker uses to perform tasks on your behalf.
"
+ }
+ },
+ "documentation": "Describes the S3 data source.
"
+ },
+ "Trial": {
+ "type": "structure",
+ "members": {
+ "TrialName": {
+ "shape": "ExperimentEntityName",
+ "documentation": "The name of the trial.
"
+ },
+ "TrialArn": {
+ "shape": "TrialArn",
+ "documentation": "The Amazon Resource Name (ARN) of the trial.
"
+ },
+ "DisplayName": {
+ "shape": "ExperimentEntityName",
+ "documentation": "The name of the trial as displayed. If DisplayName
isn't specified, TrialName
is displayed.
"
+ },
+ "ExperimentName": {
+ "shape": "ExperimentEntityName",
+ "documentation": "The name of the experiment the trial is part of.
"
+ },
+ "Source": {
+ "shape": "TrialSource"
+ },
+ "CreationTime": {
+ "shape": "Timestamp",
+ "documentation": "When the trial was created.
"
+ },
+ "CreatedBy": {
+ "shape": "UserContext"
+ },
+ "LastModifiedTime": {
+ "shape": "Timestamp",
+ "documentation": "Who last modified the trial.
"
+ },
+ "LastModifiedBy": {
+ "shape": "UserContext"
+ },
+ "Tags": {
+ "shape": "TagList",
+ "documentation": "The list of tags that are associated with the trial. You can use Search API to search on the tags.
"
+ },
+ "TrialComponentSummaries": {
+ "shape": "TrialComponentSimpleSummaries",
+ "documentation": "A list of the components associated with the trial. For each component, a summary of the component's properties is included.
"
+ }
+ },
+ "documentation": "A summary of the properties of a trial as returned by the Search API.
"
+ },
+ "TrialArn": {
+ "type": "string",
+ "max": 256,
+ "pattern": "arn:aws[a-z\\-]*:sagemaker:[a-z0-9\\-]*:[0-9]{12}:experiment-trial/.*"
+ },
+ "TrialComponent": {
+ "type": "structure",
+ "members": {
+ "TrialComponentName": {
+ "shape": "ExperimentEntityName",
+ "documentation": "The name of the trial component.
"
},
- "TrainingJobArn": {
- "shape": "TrainingJobArn",
- "documentation": "The Amazon Resource Name (ARN) of the training job.
"
+ "DisplayName": {
+ "shape": "ExperimentEntityName",
+ "documentation": "The name of the component as displayed. If DisplayName
isn't specified, TrialComponentName
is displayed.
"
},
- "CreationTime": {
+ "TrialComponentArn": {
+ "shape": "TrialComponentArn",
+ "documentation": "The Amazon Resource Name (ARN) of the trial component.
"
+ },
+ "Source": {
+ "shape": "TrialComponentSource"
+ },
+ "Status": {
+ "shape": "TrialComponentStatus"
+ },
+ "StartTime": {
"shape": "Timestamp",
- "documentation": "A timestamp that shows when the training job was created.
"
+ "documentation": "When the component started.
"
},
- "TrainingEndTime": {
+ "EndTime": {
"shape": "Timestamp",
- "documentation": "A timestamp that shows when the training job ended. This field is set only if the training job has one of the terminal statuses (Completed
, Failed
, or Stopped
).
"
+ "documentation": "When the component ended.
"
+ },
+ "CreationTime": {
+ "shape": "Timestamp",
+ "documentation": "When the component was created.
"
+ },
+ "CreatedBy": {
+ "shape": "UserContext"
},
"LastModifiedTime": {
"shape": "Timestamp",
- "documentation": " Timestamp when the training job was last modified.
"
+ "documentation": "When the component was last modified.
"
},
- "TrainingJobStatus": {
- "shape": "TrainingJobStatus",
- "documentation": "The status of the training job.
"
- }
- },
- "documentation": "Provides summary information about a training job.
"
- },
- "TrainingSpecification": {
- "type": "structure",
- "required": [
- "TrainingImage",
- "SupportedTrainingInstanceTypes",
- "TrainingChannels"
- ],
- "members": {
- "TrainingImage": {
- "shape": "Image",
- "documentation": "The Amazon ECR registry path of the Docker image that contains the training algorithm.
"
+ "LastModifiedBy": {
+ "shape": "UserContext"
},
- "TrainingImageDigest": {
- "shape": "ImageDigest",
- "documentation": "An MD5 hash of the training algorithm that identifies the Docker image used for training.
"
+ "Parameters": {
+ "shape": "TrialComponentParameters",
+ "documentation": "The hyperparameters of the component.
"
},
- "SupportedHyperParameters": {
- "shape": "HyperParameterSpecifications",
- "documentation": "A list of the HyperParameterSpecification
objects, that define the supported hyperparameters. This is required if the algorithm supports automatic model tuning.>
"
+ "InputArtifacts": {
+ "shape": "TrialComponentArtifacts",
+ "documentation": "The input artifacts of the component.
"
},
- "SupportedTrainingInstanceTypes": {
- "shape": "TrainingInstanceTypes",
- "documentation": "A list of the instance types that this algorithm can use for training.
"
+ "OutputArtifacts": {
+ "shape": "TrialComponentArtifacts",
+ "documentation": "The output artifacts of the component.
"
},
- "SupportsDistributedTraining": {
- "shape": "Boolean",
- "documentation": "Indicates whether the algorithm supports distributed training. If set to false, buyers can’t request more than one instance during training.
"
+ "Metrics": {
+ "shape": "TrialComponentMetricSummaries",
+ "documentation": "The metrics for the component.
"
},
- "MetricDefinitions": {
- "shape": "MetricDefinitionList",
- "documentation": "A list of MetricDefinition
objects, which are used for parsing metrics generated by the algorithm.
"
+ "SourceDetail": {
+ "shape": "TrialComponentSourceDetail",
+ "documentation": "The source of the trial component.>
"
},
- "TrainingChannels": {
- "shape": "ChannelSpecifications",
- "documentation": "A list of ChannelSpecification
objects, which specify the input sources to be used by the algorithm.
"
+ "Tags": {
+ "shape": "TagList",
+ "documentation": "The list of tags that are associated with the component. You can use Search API to search on the tags.
"
},
- "SupportedTuningJobObjectiveMetrics": {
- "shape": "HyperParameterTuningJobObjectives",
- "documentation": "A list of the metrics that the algorithm emits that can be used as the objective metric in a hyperparameter tuning job.
"
+ "Parents": {
+ "shape": "Parents",
+ "documentation": "An array of the parents of the component. A parent is a trial the component is associated with and the experiment the trial is part of. A component might not have any parents.
"
}
},
- "documentation": "Defines how the algorithm is used for a training job.
"
+ "documentation": "A summary of the properties of a trial component as returned by the Search API.
"
},
- "TrainingTimeInSeconds": {
- "type": "integer",
- "min": 1
+ "TrialComponentArn": {
+ "type": "string",
+ "max": 256,
+ "pattern": "arn:aws[a-z\\-]*:sagemaker:[a-z0-9\\-]*:[0-9]{12}:experiment-trial-component/.*"
},
- "TransformDataSource": {
+ "TrialComponentArtifact": {
"type": "structure",
"required": [
- "S3DataSource"
+ "Value"
],
"members": {
- "S3DataSource": {
- "shape": "TransformS3DataSource",
- "documentation": "The S3 location of the data source that is associated with a channel.
"
+ "MediaType": {
+ "shape": "MediaType",
+ "documentation": "The media type of the artifact, which indicates the type of data in the artifact file. The media type consists of a type and a subtype concatenated with a slash (/) character, for example, text/csv, image/jpeg, and s3/uri. The type specifies the category of the media. The subtype specifies the kind of data.
"
+ },
+ "Value": {
+ "shape": "TrialComponentArtifactValue",
+ "documentation": "The location of the artifact.
"
}
},
- "documentation": "Describes the location of the channel data.
"
+ "documentation": "Represents an input or output artifact of a trial component. You specify TrialComponentArtifact
as part of the InputArtifacts
and OutputArtifacts
parameters in the CreateTrialComponent request.
Examples of input artifacts are datasets, algorithms, hyperparameters, source code, and instance types. Examples of output artifacts are metrics, snapshots, logs, and images.
"
},
- "TransformEnvironmentKey": {
+ "TrialComponentArtifactValue": {
"type": "string",
- "max": 1024,
- "pattern": "[a-zA-Z_][a-zA-Z0-9_]*"
+ "max": 2048,
+ "pattern": ".*"
},
- "TransformEnvironmentMap": {
+ "TrialComponentArtifacts": {
"type": "map",
"key": {
- "shape": "TransformEnvironmentKey"
+ "shape": "TrialComponentKey64"
},
"value": {
- "shape": "TransformEnvironmentValue"
+ "shape": "TrialComponentArtifact"
},
- "max": 16
+ "max": 30
},
- "TransformEnvironmentValue": {
+ "TrialComponentKey256": {
"type": "string",
- "max": 10240,
- "pattern": "[\\S\\s]*"
+ "max": 256,
+ "pattern": ".*"
},
- "TransformInput": {
+ "TrialComponentKey64": {
+ "type": "string",
+ "max": 64,
+ "pattern": ".*"
+ },
+ "TrialComponentMetricSummaries": {
+ "type": "list",
+ "member": {
+ "shape": "TrialComponentMetricSummary"
+ }
+ },
+ "TrialComponentMetricSummary": {
"type": "structure",
- "required": [
- "DataSource"
- ],
"members": {
- "DataSource": {
- "shape": "TransformDataSource",
- "documentation": "Describes the location of the channel data, which is, the S3 location of the input data that the model can consume.
"
+ "MetricName": {
+ "shape": "MetricName",
+ "documentation": "The name of the metric.
"
},
- "ContentType": {
- "shape": "ContentType",
- "documentation": "The multipurpose internet mail extension (MIME) type of the data. Amazon SageMaker uses the MIME type with each http call to transfer data to the transform job.
"
+ "SourceArn": {
+ "shape": "TrialComponentSourceArn",
+ "documentation": "The Amazon Resource Name (ARN) of the source.
"
},
- "CompressionType": {
- "shape": "CompressionType",
- "documentation": "If your transform data is compressed, specify the compression type. Amazon SageMaker automatically decompresses the data for the transform job accordingly. The default value is None
.
"
+ "TimeStamp": {
+ "shape": "Timestamp",
+ "documentation": "When the metric was last updated.
"
},
- "SplitType": {
- "shape": "SplitType",
- "documentation": "The method to use to split the transform job's data files into smaller batches. Splitting is necessary when the total size of each object is too large to fit in a single request. You can also use data splitting to improve performance by processing multiple concurrent mini-batches. The default value for SplitType
is None
, which indicates that input data files are not split, and request payloads contain the entire contents of an input object. Set the value of this parameter to Line
to split records on a newline character boundary. SplitType
also supports a number of record-oriented binary data formats.
When splitting is enabled, the size of a mini-batch depends on the values of the BatchStrategy
and MaxPayloadInMB
parameters. When the value of BatchStrategy
is MultiRecord
, Amazon SageMaker sends the maximum number of records in each request, up to the MaxPayloadInMB
limit. If the value of BatchStrategy
is SingleRecord
, Amazon SageMaker sends individual records in each request.
Some data formats represent a record as a binary payload wrapped with extra padding bytes. When splitting is applied to a binary data format, padding is removed if the value of BatchStrategy
is set to SingleRecord
. Padding is not removed if the value of BatchStrategy
is set to MultiRecord
.
For more information about RecordIO
, see Create a Dataset Using RecordIO in the MXNet documentation. For more information about TFRecord
, see Consuming TFRecord data in the TensorFlow documentation.
"
+ "Max": {
+ "shape": "OptionalDouble",
+ "documentation": "The maximum value of the metric.
"
+ },
+ "Min": {
+ "shape": "OptionalDouble",
+ "documentation": "The minimum value of the metric.
"
+ },
+ "Last": {
+ "shape": "OptionalDouble",
+ "documentation": "The most recent value of the metric.
"
+ },
+ "Count": {
+ "shape": "OptionalInteger",
+ "documentation": "The number of samples used to generate the metric.
"
+ },
+ "Avg": {
+ "shape": "OptionalDouble",
+ "documentation": "The average value of the metric.
"
+ },
+ "StdDev": {
+ "shape": "OptionalDouble",
+ "documentation": "The standard deviation of the metric.
"
}
},
- "documentation": "Describes the input source of a transform job and the way the transform job consumes it.
"
+ "documentation": "A summary of the metrics of a trial component.
"
},
- "TransformInstanceCount": {
- "type": "integer",
- "min": 1
+ "TrialComponentParameterValue": {
+ "type": "structure",
+ "members": {
+ "StringValue": {
+ "shape": "StringParameterValue",
+ "documentation": "The string value of a categorical hyperparameter. If you specify a value for this parameter, you can't specify the NumberValue
parameter.
"
+ },
+ "NumberValue": {
+ "shape": "DoubleParameterValue",
+ "documentation": "The numeric value of a numeric hyperparameter. If you specify a value for this parameter, you can't specify the StringValue
parameter.
"
+ }
+ },
+ "documentation": "The value of a hyperparameter. Only one of NumberValue
or StringValue
can be specified.
This object is specified in the CreateTrialComponent request.
"
},
- "TransformInstanceType": {
+ "TrialComponentParameters": {
+ "type": "map",
+ "key": {
+ "shape": "TrialComponentKey256"
+ },
+ "value": {
+ "shape": "TrialComponentParameterValue"
+ },
+ "max": 150
+ },
+ "TrialComponentPrimaryStatus": {
"type": "string",
"enum": [
- "ml.m4.xlarge",
- "ml.m4.2xlarge",
- "ml.m4.4xlarge",
- "ml.m4.10xlarge",
- "ml.m4.16xlarge",
- "ml.c4.xlarge",
- "ml.c4.2xlarge",
- "ml.c4.4xlarge",
- "ml.c4.8xlarge",
- "ml.p2.xlarge",
- "ml.p2.8xlarge",
- "ml.p2.16xlarge",
- "ml.p3.2xlarge",
- "ml.p3.8xlarge",
- "ml.p3.16xlarge",
- "ml.c5.xlarge",
- "ml.c5.2xlarge",
- "ml.c5.4xlarge",
- "ml.c5.9xlarge",
- "ml.c5.18xlarge",
- "ml.m5.large",
- "ml.m5.xlarge",
- "ml.m5.2xlarge",
- "ml.m5.4xlarge",
- "ml.m5.12xlarge",
- "ml.m5.24xlarge"
+ "InProgress",
+ "Completed",
+ "Failed"
]
},
- "TransformInstanceTypes": {
+ "TrialComponentSimpleSummaries": {
"type": "list",
"member": {
- "shape": "TransformInstanceType"
- },
- "min": 1
- },
- "TransformJobArn": {
- "type": "string",
- "max": 256,
- "pattern": "arn:aws[a-z\\-]*:sagemaker:[a-z0-9\\-]*:[0-9]{12}:transform-job/.*"
+ "shape": "TrialComponentSimpleSummary"
+ }
},
- "TransformJobDefinition": {
+ "TrialComponentSimpleSummary": {
"type": "structure",
- "required": [
- "TransformInput",
- "TransformOutput",
- "TransformResources"
- ],
"members": {
- "MaxConcurrentTransforms": {
- "shape": "MaxConcurrentTransforms",
- "documentation": "The maximum number of parallel requests that can be sent to each instance in a transform job. The default value is 1.
"
- },
- "MaxPayloadInMB": {
- "shape": "MaxPayloadInMB",
- "documentation": "The maximum payload size allowed, in MB. A payload is the data portion of a record (without metadata).
"
+ "TrialComponentName": {
+ "shape": "ExperimentEntityName",
+ "documentation": "The name of the trial component.
"
},
- "BatchStrategy": {
- "shape": "BatchStrategy",
- "documentation": "A string that determines the number of records included in a single mini-batch.
SingleRecord
means only one record is used per mini-batch. MultiRecord
means a mini-batch is set to contain as many records that can fit within the MaxPayloadInMB
limit.
"
+ "TrialComponentArn": {
+ "shape": "TrialComponentArn",
+ "documentation": "The Amazon Resource Name (ARN) of the trial component.
"
},
- "Environment": {
- "shape": "TransformEnvironmentMap",
- "documentation": "The environment variables to set in the Docker container. We support up to 16 key and values entries in the map.
"
+ "TrialComponentSource": {
+ "shape": "TrialComponentSource"
},
- "TransformInput": {
- "shape": "TransformInput",
- "documentation": "A description of the input source and the way the transform job consumes it.
"
+ "CreationTime": {
+ "shape": "Timestamp",
+ "documentation": "When the component was created.
"
},
- "TransformOutput": {
- "shape": "TransformOutput",
- "documentation": "Identifies the Amazon S3 location where you want Amazon SageMaker to save the results from the transform job.
"
+ "CreatedBy": {
+ "shape": "UserContext"
+ }
+ },
+ "documentation": "A short summary of a trial component.
"
+ },
+ "TrialComponentSource": {
+ "type": "structure",
+ "required": [
+ "SourceArn"
+ ],
+ "members": {
+ "SourceArn": {
+ "shape": "TrialComponentSourceArn",
+ "documentation": "The Amazon Resource Name (ARN) of the source.
"
},
- "TransformResources": {
- "shape": "TransformResources",
- "documentation": "Identifies the ML compute instances for the transform job.
"
+ "SourceType": {
+ "shape": "SourceType",
+ "documentation": "The source job type.
"
}
},
- "documentation": "Defines the input needed to run a transform job using the inference specification specified in the algorithm.
"
+ "documentation": "The source of the trial component.
"
},
- "TransformJobName": {
+ "TrialComponentSourceArn": {
"type": "string",
- "max": 63,
- "min": 1,
- "pattern": "^[a-zA-Z0-9](-*[a-zA-Z0-9])*"
+ "max": 256,
+ "pattern": "arn:aws[a-z\\-]*:sagemaker:[a-z0-9\\-]*:[0-9]{12}:.*"
},
- "TransformJobStatus": {
+ "TrialComponentSourceDetail": {
+ "type": "structure",
+ "members": {
+ "SourceArn": {
+ "shape": "TrialComponentSourceArn",
+ "documentation": "The Amazon Resource Name (ARN) of the source.
"
+ },
+ "TrainingJob": {
+ "shape": "TrainingJob"
+ }
+ },
+ "documentation": "Detailed information about the source of a trial component.
"
+ },
+ "TrialComponentStatus": {
+ "type": "structure",
+ "members": {
+ "PrimaryStatus": {
+ "shape": "TrialComponentPrimaryStatus",
+ "documentation": "The status of the trial component.
"
+ },
+ "Message": {
+ "shape": "TrialComponentStatusMessage",
+ "documentation": "If the component failed, a message describing why.
"
+ }
+ },
+ "documentation": "The status of the trial component.
"
+ },
+ "TrialComponentStatusMessage": {
"type": "string",
- "enum": [
- "InProgress",
- "Completed",
- "Failed",
- "Stopping",
- "Stopped"
- ]
+ "max": 1024,
+ "pattern": ".*"
},
- "TransformJobSummaries": {
+ "TrialComponentSummaries": {
"type": "list",
"member": {
- "shape": "TransformJobSummary"
+ "shape": "TrialComponentSummary"
}
- },
- "TransformJobSummary": {
- "type": "structure",
- "required": [
- "TransformJobName",
- "TransformJobArn",
- "CreationTime",
- "TransformJobStatus"
- ],
+ },
+ "TrialComponentSummary": {
+ "type": "structure",
"members": {
- "TransformJobName": {
- "shape": "TransformJobName",
- "documentation": "The name of the transform job.
"
+ "TrialComponentName": {
+ "shape": "ExperimentEntityName",
+ "documentation": "The name of the trial component.
"
},
- "TransformJobArn": {
- "shape": "TransformJobArn",
- "documentation": "The Amazon Resource Name (ARN) of the transform job.
"
+ "TrialComponentArn": {
+ "shape": "TrialComponentArn",
+ "documentation": "The ARN of the trial component.
"
},
- "CreationTime": {
+ "DisplayName": {
+ "shape": "ExperimentEntityName",
+ "documentation": "The name of the component as displayed. If DisplayName
isn't specified, TrialComponentName
is displayed.
"
+ },
+ "TrialComponentSource": {
+ "shape": "TrialComponentSource"
+ },
+ "Status": {
+ "shape": "TrialComponentStatus",
+ "documentation": "The status of the component. States include:
-
InProgress
-
Completed
-
Failed
"
+ },
+ "StartTime": {
"shape": "Timestamp",
- "documentation": "A timestamp that shows when the transform Job was created.
"
+ "documentation": "When the component started.
"
},
- "TransformEndTime": {
+ "EndTime": {
"shape": "Timestamp",
- "documentation": "Indicates when the transform job ends on compute instances. For successful jobs and stopped jobs, this is the exact time recorded after the results are uploaded. For failed jobs, this is when Amazon SageMaker detected that the job failed.
"
+ "documentation": "When the component ended.
"
},
- "LastModifiedTime": {
+ "CreationTime": {
"shape": "Timestamp",
- "documentation": "Indicates when the transform job was last modified.
"
+ "documentation": "When the component was created.
"
},
- "TransformJobStatus": {
- "shape": "TransformJobStatus",
- "documentation": "The status of the transform job.
"
+ "CreatedBy": {
+ "shape": "UserContext",
+ "documentation": "Who created the component.
"
},
- "FailureReason": {
- "shape": "FailureReason",
- "documentation": "If the transform job failed, the reason it failed.
"
+ "LastModifiedTime": {
+ "shape": "Timestamp",
+ "documentation": "When the component was last modified.
"
+ },
+ "LastModifiedBy": {
+ "shape": "UserContext",
+ "documentation": "Who last modified the component.
"
}
},
- "documentation": "Provides a summary of a transform job. Multiple TransformJobSummary
objects are returned as a list after in response to a ListTransformJobs call.
"
+ "documentation": "A summary of the properties of a trial component. To get all the properties, call the DescribeTrialComponent API and provide the TrialComponentName
.
"
},
- "TransformOutput": {
+ "TrialSource": {
"type": "structure",
"required": [
- "S3OutputPath"
+ "SourceArn"
],
"members": {
- "S3OutputPath": {
- "shape": "S3Uri",
- "documentation": "The Amazon S3 path where you want Amazon SageMaker to store the results of the transform job. For example, s3://bucket-name/key-name-prefix
.
For every S3 object used as input for the transform job, batch transform stores the transformed data with an .out
suffix in a corresponding subfolder in the location in the output prefix. For example, for the input data stored at s3://bucket-name/input-name-prefix/dataset01/data.csv
, batch transform stores the transformed data at s3://bucket-name/output-name-prefix/input-name-prefix/data.csv.out
. Batch transform doesn't upload partially processed objects. For an input S3 object that contains multiple records, it creates an .out
file only if the transform job succeeds on the entire file. When the input contains multiple S3 objects, the batch transform job processes the listed S3 objects and uploads only the output for successfully processed objects. If any object fails in the transform job batch transform marks the job as failed to prompt investigation.
"
- },
- "Accept": {
- "shape": "Accept",
- "documentation": "The MIME type used to specify the output data. Amazon SageMaker uses the MIME type with each http call to transfer data from the transform job.
"
+ "SourceArn": {
+ "shape": "TrialSourceArn",
+ "documentation": "The Amazon Resource Name (ARN) of the source.
"
},
- "AssembleWith": {
- "shape": "AssemblyType",
- "documentation": "Defines how to assemble the results of the transform job as a single S3 object. Choose a format that is most convenient to you. To concatenate the results in binary format, specify None
. To add a newline character at the end of every transformed record, specify Line
.
"
- },
- "KmsKeyId": {
- "shape": "KmsKeyId",
- "documentation": "The AWS Key Management Service (AWS KMS) key that Amazon SageMaker uses to encrypt the model artifacts at rest using Amazon S3 server-side encryption. The KmsKeyId
can be any of the following formats:
-
// KMS Key ID
\"1234abcd-12ab-34cd-56ef-1234567890ab\"
-
// Amazon Resource Name (ARN) of a KMS Key
\"arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab\"
-
// KMS Key Alias
\"alias/ExampleAlias\"
-
// Amazon Resource Name (ARN) of a KMS Key Alias
\"arn:aws:kms:us-west-2:111122223333:alias/ExampleAlias\"
If you don't provide a KMS key ID, Amazon SageMaker uses the default KMS key for Amazon S3 for your role's account. For more information, see KMS-Managed Encryption Keys in the Amazon Simple Storage Service Developer Guide.
The KMS key policy must grant permission to the IAM role that you specify in your CreateModel request. For more information, see Using Key Policies in AWS KMS in the AWS Key Management Service Developer Guide.
"
+ "SourceType": {
+ "shape": "SourceType",
+ "documentation": "The source job type.
"
}
},
- "documentation": "Describes the results of a transform job.
"
+ "documentation": "The source of the trial.
"
},
- "TransformResources": {
+ "TrialSourceArn": {
+ "type": "string",
+ "max": 256,
+ "pattern": "arn:aws[a-z\\-]*:sagemaker:[a-z0-9\\-]*:[0-9]{12}:.*"
+ },
+ "TrialSummaries": {
+ "type": "list",
+ "member": {
+ "shape": "TrialSummary"
+ }
+ },
+ "TrialSummary": {
"type": "structure",
- "required": [
- "InstanceType",
- "InstanceCount"
- ],
"members": {
- "InstanceType": {
- "shape": "TransformInstanceType",
- "documentation": "The ML compute instance type for the transform job. If you are using built-in algorithms to transform moderately sized datasets, we recommend using ml.m4.xlarge or ml.m5.large
instance types.
"
+ "TrialArn": {
+ "shape": "TrialArn",
+ "documentation": "The Amazon Resource Name (ARN) of the trial.
"
},
- "InstanceCount": {
- "shape": "TransformInstanceCount",
- "documentation": "The number of ML compute instances to use in the transform job. For distributed transform jobs, specify a value greater than 1. The default value is 1
.
"
+ "TrialName": {
+ "shape": "ExperimentEntityName",
+ "documentation": "The name of the trial.
"
},
- "VolumeKmsKeyId": {
- "shape": "KmsKeyId",
- "documentation": "The AWS Key Management Service (AWS KMS) key that Amazon SageMaker uses to encrypt data on the storage volume attached to the ML compute instance(s) that run the batch transform job. The VolumeKmsKeyId
can be any of the following formats:
-
// KMS Key ID
\"1234abcd-12ab-34cd-56ef-1234567890ab\"
-
// Amazon Resource Name (ARN) of a KMS Key
\"arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab\"
"
+ "DisplayName": {
+ "shape": "ExperimentEntityName",
+ "documentation": "The name of the trial as displayed. If DisplayName
isn't specified, TrialName
is displayed.
"
+ },
+ "TrialSource": {
+ "shape": "TrialSource"
+ },
+ "CreationTime": {
+ "shape": "Timestamp",
+ "documentation": "When the trial was created.
"
+ },
+ "LastModifiedTime": {
+ "shape": "Timestamp",
+ "documentation": "When the trial was last modified.
"
}
},
- "documentation": "Describes the resources, including ML instance types and ML instance count, to use for transform job.
"
+ "documentation": "A summary of the properties of a trial. To get the complete set of properties, call the DescribeTrial API and provide the TrialName
.
"
},
- "TransformS3DataSource": {
+ "TuningJobCompletionCriteria": {
"type": "structure",
"required": [
- "S3DataType",
- "S3Uri"
+ "TargetObjectiveMetricValue"
],
"members": {
- "S3DataType": {
- "shape": "S3DataType",
- "documentation": "If you choose S3Prefix
, S3Uri
identifies a key name prefix. Amazon SageMaker uses all objects with the specified key name prefix for batch transform.
If you choose ManifestFile
, S3Uri
identifies an object that is a manifest file containing a list of object keys that you want Amazon SageMaker to use for batch transform.
The following values are compatible: ManifestFile
, S3Prefix
The following value is not compatible: AugmentedManifestFile
"
- },
- "S3Uri": {
- "shape": "S3Uri",
- "documentation": "Depending on the value specified for the S3DataType
, identifies either a key name prefix or a manifest. For example:
-
A key name prefix might look like this: s3://bucketname/exampleprefix
.
-
A manifest might look like this: s3://bucketname/example.manifest
The manifest is an S3 object which is a JSON file with the following format:
[ {\"prefix\": \"s3://customer_bucket/some/prefix/\"},
\"relative/path/to/custdata-1\",
\"relative/path/custdata-2\",
...
\"relative/path/custdata-N\"
]
The preceding JSON matches the following s3Uris
:
s3://customer_bucket/some/prefix/relative/path/to/custdata-1
s3://customer_bucket/some/prefix/relative/path/custdata-2
...
s3://customer_bucket/some/prefix/relative/path/custdata-N
The complete set of S3Uris
in this manifest constitutes the input data for the channel for this datasource. The object that each S3Uris
points to must be readable by the IAM role that Amazon SageMaker uses to perform tasks on your behalf.
"
+ "TargetObjectiveMetricValue": {
+ "shape": "TargetObjectiveMetricValue",
+ "documentation": "The objective metric's value.
"
}
},
- "documentation": "Describes the S3 data source.
"
+ "documentation": "The job completion criteria.
"
},
"USD": {
"type": "structure",
@@ -8744,6 +15205,20 @@
},
"documentation": "The Liquid template for the worker user interface.
"
},
+ "UiTemplateInfo": {
+ "type": "structure",
+ "members": {
+ "Url": {
+ "shape": "TemplateUrl",
+ "documentation": "The URL for the user interface template.
"
+ },
+ "ContentSha256": {
+ "shape": "TemplateContentSha256",
+ "documentation": "The SHA 256 hash that you used to create the request signature.
"
+ }
+ },
+ "documentation": "Container for user interface template information.
"
+ },
"UpdateCodeRepositoryInput": {
"type": "structure",
"required": [
@@ -8772,6 +15247,31 @@
}
}
},
+ "UpdateDomainRequest": {
+ "type": "structure",
+ "required": [
+ "DomainId"
+ ],
+ "members": {
+ "DomainId": {
+ "shape": "DomainId",
+ "documentation": "The domain ID.
"
+ },
+ "DefaultUserSettings": {
+ "shape": "UserSettings",
+ "documentation": "A collection of settings.
"
+ }
+ }
+ },
+ "UpdateDomainResponse": {
+ "type": "structure",
+ "members": {
+ "DomainArn": {
+ "shape": "DomainArn",
+ "documentation": "The domain Amazon Resource Name (ARN).
"
+ }
+ }
+ },
"UpdateEndpointInput": {
"type": "structure",
"required": [
@@ -8830,6 +15330,64 @@
}
}
},
+ "UpdateExperimentRequest": {
+ "type": "structure",
+ "required": [
+ "ExperimentName"
+ ],
+ "members": {
+ "ExperimentName": {
+ "shape": "ExperimentEntityName",
+ "documentation": "The name of the experiment to update.
"
+ },
+ "DisplayName": {
+ "shape": "ExperimentEntityName",
+ "documentation": "The name of the experiment as displayed. The name doesn't need to be unique. If DisplayName
isn't specified, ExperimentName
is displayed.
"
+ },
+ "Description": {
+ "shape": "ExperimentDescription",
+ "documentation": "The description of the experiment.
"
+ }
+ }
+ },
+ "UpdateExperimentResponse": {
+ "type": "structure",
+ "members": {
+ "ExperimentArn": {
+ "shape": "ExperimentArn",
+ "documentation": "The Amazon Resource Name (ARN) of the experiment.
"
+ }
+ }
+ },
+ "UpdateMonitoringScheduleRequest": {
+ "type": "structure",
+ "required": [
+ "MonitoringScheduleName",
+ "MonitoringScheduleConfig"
+ ],
+ "members": {
+ "MonitoringScheduleName": {
+ "shape": "MonitoringScheduleName",
+ "documentation": "The name of the monitoring schedule. The name must be unique within an AWS Region within an AWS account.
"
+ },
+ "MonitoringScheduleConfig": {
+ "shape": "MonitoringScheduleConfig",
+ "documentation": "The configuration object that specifies the monitoring schedule and defines the monitoring job.
"
+ }
+ }
+ },
+ "UpdateMonitoringScheduleResponse": {
+ "type": "structure",
+ "required": [
+ "MonitoringScheduleArn"
+ ],
+ "members": {
+ "MonitoringScheduleArn": {
+ "shape": "MonitoringScheduleArn",
+ "documentation": "The Amazon Resource Name (ARN) of the monitoring schedule.
"
+ }
+ }
+ },
"UpdateNotebookInstanceInput": {
"type": "structure",
"required": [
@@ -8870,7 +15428,7 @@
},
"AcceleratorTypes": {
"shape": "NotebookInstanceAcceleratorTypes",
- "documentation": "A list of the Elastic Inference (EI) instance types to associate with this notebook instance. Currently only one EI instance type can be associated with a notebook instance. For more information, see Using Elastic Inference in Amazon SageMaker.
"
+ "documentation": "A list of the Elastic Inference (EI) instance types to associate with this notebook instance. Currently only one EI instance type can be associated with a notebook instance. For more information, see Using Elastic Inference in Amazon SageMaker.
"
},
"DisassociateAcceleratorTypes": {
"shape": "DisassociateNotebookInstanceAcceleratorTypes",
@@ -8918,6 +15476,122 @@
"type": "structure",
"members": {}
},
+ "UpdateTrialComponentRequest": {
+ "type": "structure",
+ "required": [
+ "TrialComponentName"
+ ],
+ "members": {
+ "TrialComponentName": {
+ "shape": "ExperimentEntityName",
+ "documentation": "The name of the component to update.
"
+ },
+ "DisplayName": {
+ "shape": "ExperimentEntityName",
+ "documentation": "The name of the component as displayed. The name doesn't need to be unique. If DisplayName
isn't specified, TrialComponentName
is displayed.
"
+ },
+ "Status": {
+ "shape": "TrialComponentStatus",
+ "documentation": "The new status of the component.
"
+ },
+ "StartTime": {
+ "shape": "Timestamp",
+ "documentation": "When the component started.
"
+ },
+ "EndTime": {
+ "shape": "Timestamp",
+ "documentation": "When the component ended.
"
+ },
+ "Parameters": {
+ "shape": "TrialComponentParameters",
+ "documentation": "Replaces all of the component's hyperparameters with the specified hyperparameters.
"
+ },
+ "ParametersToRemove": {
+ "shape": "ListTrialComponentKey256",
+ "documentation": "The hyperparameters to remove from the component.
"
+ },
+ "InputArtifacts": {
+ "shape": "TrialComponentArtifacts",
+ "documentation": "Replaces all of the component's input artifacts with the specified artifacts.
"
+ },
+ "InputArtifactsToRemove": {
+ "shape": "ListTrialComponentKey256",
+ "documentation": "The input artifacts to remove from the component.
"
+ },
+ "OutputArtifacts": {
+ "shape": "TrialComponentArtifacts",
+ "documentation": "Replaces all of the component's output artifacts with the specified artifacts.
"
+ },
+ "OutputArtifactsToRemove": {
+ "shape": "ListTrialComponentKey256",
+ "documentation": "The output artifacts to remove from the component.
"
+ }
+ }
+ },
+ "UpdateTrialComponentResponse": {
+ "type": "structure",
+ "members": {
+ "TrialComponentArn": {
+ "shape": "TrialComponentArn",
+ "documentation": "The Amazon Resource Name (ARN) of the trial component.
"
+ }
+ }
+ },
+ "UpdateTrialRequest": {
+ "type": "structure",
+ "required": [
+ "TrialName"
+ ],
+ "members": {
+ "TrialName": {
+ "shape": "ExperimentEntityName",
+ "documentation": "The name of the trial to update.
"
+ },
+ "DisplayName": {
+ "shape": "ExperimentEntityName",
+ "documentation": "The name of the trial as displayed. The name doesn't need to be unique. If DisplayName
isn't specified, TrialName
is displayed.
"
+ }
+ }
+ },
+ "UpdateTrialResponse": {
+ "type": "structure",
+ "members": {
+ "TrialArn": {
+ "shape": "TrialArn",
+ "documentation": "The Amazon Resource Name (ARN) of the trial.
"
+ }
+ }
+ },
+ "UpdateUserProfileRequest": {
+ "type": "structure",
+ "required": [
+ "DomainId",
+ "UserProfileName"
+ ],
+ "members": {
+ "DomainId": {
+ "shape": "DomainId",
+ "documentation": "The domain ID.
"
+ },
+ "UserProfileName": {
+ "shape": "UserProfileName",
+ "documentation": "The user profile name.
"
+ },
+ "UserSettings": {
+ "shape": "UserSettings",
+ "documentation": "A collection of settings.
"
+ }
+ }
+ },
+ "UpdateUserProfileResponse": {
+ "type": "structure",
+ "members": {
+ "UserProfileArn": {
+ "shape": "UserProfileArn",
+ "documentation": "The user profile Amazon Resource Name (ARN).
"
+ }
+ }
+ },
"UpdateWorkteamRequest": {
"type": "structure",
"required": [
@@ -8959,6 +15633,112 @@
"max": 1024,
"pattern": "^(https|s3)://([^/]+)/?(.*)$"
},
+ "UserContext": {
+ "type": "structure",
+ "members": {
+ "UserProfileArn": {
+ "shape": "String",
+ "documentation": "The Amazon Resource Name (ARN) of the user's profile.
"
+ },
+ "UserProfileName": {
+ "shape": "String",
+ "documentation": "The name of the user's profile.
"
+ },
+ "DomainId": {
+ "shape": "String",
+ "documentation": "The domain associated with the user.
"
+ }
+ },
+ "documentation": "Information about the user who created or modified an experiment, trial, or trial component.
"
+ },
+ "UserProfileArn": {
+ "type": "string",
+ "max": 256,
+ "pattern": "arn:aws[a-z\\-]*:sagemaker:[a-z0-9\\-]*:[0-9]{12}:user-profile/.*"
+ },
+ "UserProfileDetails": {
+ "type": "structure",
+ "members": {
+ "DomainId": {
+ "shape": "DomainId",
+ "documentation": "The domain ID.
"
+ },
+ "UserProfileName": {
+ "shape": "UserProfileName",
+ "documentation": "The user profile name.
"
+ },
+ "Status": {
+ "shape": "UserProfileStatus",
+ "documentation": "The status.
"
+ },
+ "CreationTime": {
+ "shape": "CreationTime",
+ "documentation": "The creation time.
"
+ },
+ "LastModifiedTime": {
+ "shape": "LastModifiedTime",
+ "documentation": "The last modified time.
"
+ }
+ },
+ "documentation": "The user profile details.
"
+ },
+ "UserProfileList": {
+ "type": "list",
+ "member": {
+ "shape": "UserProfileDetails"
+ }
+ },
+ "UserProfileName": {
+ "type": "string",
+ "max": 63,
+ "pattern": "^[a-zA-Z0-9](-*[a-zA-Z0-9])*"
+ },
+ "UserProfileSortKey": {
+ "type": "string",
+ "enum": [
+ "CreationTime",
+ "LastModifiedTime"
+ ]
+ },
+ "UserProfileStatus": {
+ "type": "string",
+ "enum": [
+ "Deleting",
+ "Failed",
+ "InService",
+ "Pending"
+ ]
+ },
+ "UserSettings": {
+ "type": "structure",
+ "members": {
+ "ExecutionRole": {
+ "shape": "RoleArn",
+ "documentation": "The execution role for the user.
"
+ },
+ "SecurityGroups": {
+ "shape": "SecurityGroupIds",
+ "documentation": "The security groups.
"
+ },
+ "SharingSettings": {
+ "shape": "SharingSettings",
+ "documentation": "The sharing settings.
"
+ },
+ "JupyterServerAppSettings": {
+ "shape": "JupyterServerAppSettings",
+ "documentation": "The Jupyter server's app settings.
"
+ },
+ "KernelGatewayAppSettings": {
+ "shape": "KernelGatewayAppSettings",
+ "documentation": "The kernel gateway app settings.
"
+ },
+ "TensorBoardAppSettings": {
+ "shape": "TensorBoardAppSettings",
+ "documentation": "The TensorBoard app settings.
"
+ }
+ },
+ "documentation": "A collection of settings.
"
+ },
"VariantName": {
"type": "string",
"max": 63,
@@ -8990,6 +15770,11 @@
},
"documentation": "Specifies a VPC that your training jobs and hosted models have access to. Control access to and from your training and model containers by configuring the VPC. For more information, see Protect Endpoints by Using an Amazon Virtual Private Cloud and Protect Training Jobs by Using an Amazon Virtual Private Cloud.
"
},
+ "VpcId": {
+ "type": "string",
+ "max": 32,
+ "pattern": "[-0-9a-zA-Z]+"
+ },
"VpcSecurityGroupIds": {
"type": "list",
"member": {
diff --git a/apis/sagemaker-2017-07-24.paginators.json b/apis/sagemaker-2017-07-24.paginators.json
index 45db07863c..0d5eb88039 100644
--- a/apis/sagemaker-2017-07-24.paginators.json
+++ b/apis/sagemaker-2017-07-24.paginators.json
@@ -1,84 +1,196 @@
{
"pagination": {
+ "ListAlgorithms": {
+ "input_token": "NextToken",
+ "output_token": "NextToken",
+ "limit_key": "MaxResults",
+ "result_key": "AlgorithmSummaryList"
+ },
+ "ListApps": {
+ "input_token": "NextToken",
+ "output_token": "NextToken",
+ "limit_key": "MaxResults",
+ "result_key": "Apps"
+ },
+ "ListAutoMLJobs": {
+ "input_token": "NextToken",
+ "output_token": "NextToken",
+ "limit_key": "MaxResults",
+ "result_key": "AutoMLJobSummaries"
+ },
+ "ListCandidatesForAutoMLJob": {
+ "input_token": "NextToken",
+ "output_token": "NextToken",
+ "limit_key": "MaxResults",
+ "result_key": "Candidates"
+ },
+ "ListCodeRepositories": {
+ "input_token": "NextToken",
+ "output_token": "NextToken",
+ "limit_key": "MaxResults",
+ "result_key": "CodeRepositorySummaryList"
+ },
"ListCompilationJobs": {
"input_token": "NextToken",
"output_token": "NextToken",
- "limit_key": "MaxResults"
+ "limit_key": "MaxResults",
+ "result_key": "CompilationJobSummaries"
+ },
+ "ListDomains": {
+ "input_token": "NextToken",
+ "output_token": "NextToken",
+ "limit_key": "MaxResults",
+ "result_key": "Domains"
},
"ListEndpointConfigs": {
"input_token": "NextToken",
"output_token": "NextToken",
- "limit_key": "MaxResults"
+ "limit_key": "MaxResults",
+ "result_key": "EndpointConfigs"
},
"ListEndpoints": {
"input_token": "NextToken",
"output_token": "NextToken",
- "limit_key": "MaxResults"
+ "limit_key": "MaxResults",
+ "result_key": "Endpoints"
+ },
+ "ListExperiments": {
+ "input_token": "NextToken",
+ "output_token": "NextToken",
+ "limit_key": "MaxResults",
+ "result_key": "ExperimentSummaries"
+ },
+ "ListFlowDefinitions": {
+ "input_token": "NextToken",
+ "output_token": "NextToken",
+ "limit_key": "MaxResults",
+ "result_key": "FlowDefinitionSummaries"
+ },
+ "ListHumanTaskUis": {
+ "input_token": "NextToken",
+ "output_token": "NextToken",
+ "limit_key": "MaxResults",
+ "result_key": "HumanTaskUiSummaries"
},
"ListHyperParameterTuningJobs": {
"input_token": "NextToken",
"output_token": "NextToken",
- "limit_key": "MaxResults"
+ "limit_key": "MaxResults",
+ "result_key": "HyperParameterTuningJobSummaries"
},
"ListLabelingJobs": {
"input_token": "NextToken",
"output_token": "NextToken",
- "limit_key": "MaxResults"
+ "limit_key": "MaxResults",
+ "result_key": "LabelingJobSummaryList"
},
"ListLabelingJobsForWorkteam": {
"input_token": "NextToken",
"output_token": "NextToken",
- "limit_key": "MaxResults"
+ "limit_key": "MaxResults",
+ "result_key": "LabelingJobSummaryList"
+ },
+ "ListModelPackages": {
+ "input_token": "NextToken",
+ "output_token": "NextToken",
+ "limit_key": "MaxResults",
+ "result_key": "ModelPackageSummaryList"
},
"ListModels": {
"input_token": "NextToken",
"output_token": "NextToken",
- "limit_key": "MaxResults"
+ "limit_key": "MaxResults",
+ "result_key": "Models"
+ },
+ "ListMonitoringExecutions": {
+ "input_token": "NextToken",
+ "output_token": "NextToken",
+ "limit_key": "MaxResults",
+ "result_key": "MonitoringExecutionSummaries"
+ },
+ "ListMonitoringSchedules": {
+ "input_token": "NextToken",
+ "output_token": "NextToken",
+ "limit_key": "MaxResults",
+ "result_key": "MonitoringScheduleSummaries"
},
"ListNotebookInstanceLifecycleConfigs": {
"input_token": "NextToken",
"output_token": "NextToken",
- "limit_key": "MaxResults"
+ "limit_key": "MaxResults",
+ "result_key": "NotebookInstanceLifecycleConfigs"
},
"ListNotebookInstances": {
"input_token": "NextToken",
"output_token": "NextToken",
- "limit_key": "MaxResults"
+ "limit_key": "MaxResults",
+ "result_key": "NotebookInstances"
+ },
+ "ListProcessingJobs": {
+ "input_token": "NextToken",
+ "output_token": "NextToken",
+ "limit_key": "MaxResults",
+ "result_key": "ProcessingJobSummaries"
},
"ListSubscribedWorkteams": {
"input_token": "NextToken",
"output_token": "NextToken",
- "limit_key": "MaxResults"
+ "limit_key": "MaxResults",
+ "result_key": "SubscribedWorkteams"
},
"ListTags": {
"input_token": "NextToken",
"output_token": "NextToken",
- "limit_key": "MaxResults"
+ "limit_key": "MaxResults",
+ "result_key": "Tags"
},
"ListTrainingJobs": {
"input_token": "NextToken",
"output_token": "NextToken",
- "limit_key": "MaxResults"
+ "limit_key": "MaxResults",
+ "result_key": "TrainingJobSummaries"
},
"ListTrainingJobsForHyperParameterTuningJob": {
"input_token": "NextToken",
"output_token": "NextToken",
- "limit_key": "MaxResults"
+ "limit_key": "MaxResults",
+ "result_key": "TrainingJobSummaries"
},
"ListTransformJobs": {
"input_token": "NextToken",
"output_token": "NextToken",
- "limit_key": "MaxResults"
+ "limit_key": "MaxResults",
+ "result_key": "TransformJobSummaries"
+ },
+ "ListTrialComponents": {
+ "input_token": "NextToken",
+ "output_token": "NextToken",
+ "limit_key": "MaxResults",
+ "result_key": "TrialComponentSummaries"
+ },
+ "ListTrials": {
+ "input_token": "NextToken",
+ "output_token": "NextToken",
+ "limit_key": "MaxResults",
+ "result_key": "TrialSummaries"
+ },
+ "ListUserProfiles": {
+ "input_token": "NextToken",
+ "output_token": "NextToken",
+ "limit_key": "MaxResults",
+ "result_key": "UserProfiles"
},
"ListWorkteams": {
"input_token": "NextToken",
"output_token": "NextToken",
- "limit_key": "MaxResults"
+ "limit_key": "MaxResults",
+ "result_key": "Workteams"
},
"Search": {
"input_token": "NextToken",
"output_token": "NextToken",
- "limit_key": "MaxResults"
+ "limit_key": "MaxResults",
+ "result_key": "Results"
}
}
}
diff --git a/apis/sagemaker-2017-07-24.waiters2.json b/apis/sagemaker-2017-07-24.waiters2.json
index d033ea33f4..c462ff9ca9 100644
--- a/apis/sagemaker-2017-07-24.waiters2.json
+++ b/apis/sagemaker-2017-07-24.waiters2.json
@@ -158,6 +158,36 @@
"state": "failure"
}
]
+ },
+ "ProcessingJobCompletedOrStopped": {
+ "delay": 60,
+ "maxAttempts": 60,
+ "operation": "DescribeProcessingJob",
+ "acceptors": [
+ {
+ "expected": "Completed",
+ "matcher": "path",
+ "state": "success",
+ "argument": "ProcessingJobStatus"
+ },
+ {
+ "expected": "Stopped",
+ "matcher": "path",
+ "state": "success",
+ "argument": "ProcessingJobStatus"
+ },
+ {
+ "expected": "Failed",
+ "matcher": "path",
+ "state": "failure",
+ "argument": "ProcessingJobStatus"
+ },
+ {
+ "expected": "ValidationException",
+ "matcher": "error",
+ "state": "failure"
+ }
+ ]
}
}
}
diff --git a/apis/states-2016-11-23.min.json b/apis/states-2016-11-23.min.json
index a73ba668b9..32dd5c927e 100644
--- a/apis/states-2016-11-23.min.json
+++ b/apis/states-2016-11-23.min.json
@@ -55,6 +55,10 @@
"shape": "Sb"
},
"roleArn": {},
+ "type": {},
+ "loggingConfiguration": {
+ "shape": "Sd"
+ },
"tags": {
"shape": "S3"
}
@@ -162,10 +166,10 @@
"type": "timestamp"
},
"input": {
- "shape": "Sm"
+ "shape": "St"
},
"output": {
- "shape": "Sm"
+ "shape": "St"
}
}
}
@@ -187,6 +191,7 @@
"name",
"definition",
"roleArn",
+ "type",
"creationDate"
],
"members": {
@@ -197,8 +202,12 @@
"shape": "Sb"
},
"roleArn": {},
+ "type": {},
"creationDate": {
"type": "timestamp"
+ },
+ "loggingConfiguration": {
+ "shape": "Sd"
}
}
}
@@ -304,10 +313,10 @@
"type": "structure",
"members": {
"error": {
- "shape": "S16"
+ "shape": "S1d"
},
"cause": {
- "shape": "S17"
+ "shape": "S1e"
}
}
},
@@ -315,10 +324,10 @@
"type": "structure",
"members": {
"error": {
- "shape": "S16"
+ "shape": "S1d"
},
"cause": {
- "shape": "S17"
+ "shape": "S1e"
}
}
},
@@ -330,7 +339,7 @@
"members": {
"resource": {},
"input": {
- "shape": "Sm"
+ "shape": "St"
},
"timeoutInSeconds": {
"type": "long"
@@ -350,7 +359,7 @@
"type": "structure",
"members": {
"output": {
- "shape": "Sm"
+ "shape": "St"
}
}
},
@@ -358,10 +367,10 @@
"type": "structure",
"members": {
"error": {
- "shape": "S16"
+ "shape": "S1d"
},
"cause": {
- "shape": "S17"
+ "shape": "S1e"
}
}
},
@@ -375,10 +384,10 @@
"resourceType": {},
"resource": {},
"error": {
- "shape": "S16"
+ "shape": "S1d"
},
"cause": {
- "shape": "S17"
+ "shape": "S1e"
}
}
},
@@ -413,10 +422,10 @@
"resourceType": {},
"resource": {},
"error": {
- "shape": "S16"
+ "shape": "S1d"
},
"cause": {
- "shape": "S17"
+ "shape": "S1e"
}
}
},
@@ -441,10 +450,10 @@
"resourceType": {},
"resource": {},
"error": {
- "shape": "S16"
+ "shape": "S1d"
},
"cause": {
- "shape": "S17"
+ "shape": "S1e"
}
}
},
@@ -458,7 +467,7 @@
"resourceType": {},
"resource": {},
"output": {
- "shape": "Sm"
+ "shape": "St"
}
}
},
@@ -472,7 +481,7 @@
"resourceType": {},
"resource": {},
"output": {
- "shape": "Sm"
+ "shape": "St"
}
}
},
@@ -486,10 +495,10 @@
"resourceType": {},
"resource": {},
"error": {
- "shape": "S16"
+ "shape": "S1d"
},
"cause": {
- "shape": "S17"
+ "shape": "S1e"
}
}
},
@@ -497,10 +506,10 @@
"type": "structure",
"members": {
"error": {
- "shape": "S16"
+ "shape": "S1d"
},
"cause": {
- "shape": "S17"
+ "shape": "S1e"
}
}
},
@@ -508,7 +517,7 @@
"type": "structure",
"members": {
"input": {
- "shape": "Sm"
+ "shape": "St"
},
"roleArn": {}
}
@@ -517,7 +526,7 @@
"type": "structure",
"members": {
"output": {
- "shape": "Sm"
+ "shape": "St"
}
}
},
@@ -525,10 +534,10 @@
"type": "structure",
"members": {
"error": {
- "shape": "S16"
+ "shape": "S1d"
},
"cause": {
- "shape": "S17"
+ "shape": "S1e"
}
}
},
@@ -536,10 +545,10 @@
"type": "structure",
"members": {
"error": {
- "shape": "S16"
+ "shape": "S1d"
},
"cause": {
- "shape": "S17"
+ "shape": "S1e"
}
}
},
@@ -552,25 +561,25 @@
}
},
"mapIterationStartedEventDetails": {
- "shape": "S1v"
+ "shape": "S22"
},
"mapIterationSucceededEventDetails": {
- "shape": "S1v"
+ "shape": "S22"
},
"mapIterationFailedEventDetails": {
- "shape": "S1v"
+ "shape": "S22"
},
"mapIterationAbortedEventDetails": {
- "shape": "S1v"
+ "shape": "S22"
},
"lambdaFunctionFailedEventDetails": {
"type": "structure",
"members": {
"error": {
- "shape": "S16"
+ "shape": "S1d"
},
"cause": {
- "shape": "S17"
+ "shape": "S1e"
}
}
},
@@ -578,10 +587,10 @@
"type": "structure",
"members": {
"error": {
- "shape": "S16"
+ "shape": "S1d"
},
"cause": {
- "shape": "S17"
+ "shape": "S1e"
}
}
},
@@ -593,7 +602,7 @@
"members": {
"resource": {},
"input": {
- "shape": "Sm"
+ "shape": "St"
},
"timeoutInSeconds": {
"type": "long"
@@ -604,10 +613,10 @@
"type": "structure",
"members": {
"error": {
- "shape": "S16"
+ "shape": "S1d"
},
"cause": {
- "shape": "S17"
+ "shape": "S1e"
}
}
},
@@ -615,7 +624,7 @@
"type": "structure",
"members": {
"output": {
- "shape": "Sm"
+ "shape": "St"
}
}
},
@@ -623,10 +632,10 @@
"type": "structure",
"members": {
"error": {
- "shape": "S16"
+ "shape": "S1d"
},
"cause": {
- "shape": "S17"
+ "shape": "S1e"
}
}
},
@@ -638,7 +647,7 @@
"members": {
"name": {},
"input": {
- "shape": "Sm"
+ "shape": "St"
}
}
},
@@ -650,7 +659,7 @@
"members": {
"name": {},
"output": {
- "shape": "Sm"
+ "shape": "St"
}
}
}
@@ -772,11 +781,13 @@
"required": [
"stateMachineArn",
"name",
+ "type",
"creationDate"
],
"members": {
"stateMachineArn": {},
"name": {},
+ "type": {},
"creationDate": {
"type": "timestamp"
}
@@ -815,10 +826,10 @@
"members": {
"taskToken": {},
"error": {
- "shape": "S16"
+ "shape": "S1d"
},
"cause": {
- "shape": "S17"
+ "shape": "S1e"
}
}
},
@@ -852,7 +863,7 @@
"members": {
"taskToken": {},
"output": {
- "shape": "Sm"
+ "shape": "St"
}
}
},
@@ -871,7 +882,7 @@
"stateMachineArn": {},
"name": {},
"input": {
- "shape": "Sm"
+ "shape": "St"
}
}
},
@@ -899,10 +910,10 @@
"members": {
"executionArn": {},
"error": {
- "shape": "S16"
+ "shape": "S1d"
},
"cause": {
- "shape": "S17"
+ "shape": "S1e"
}
}
},
@@ -968,7 +979,10 @@
"definition": {
"shape": "Sb"
},
- "roleArn": {}
+ "roleArn": {},
+ "loggingConfiguration": {
+ "shape": "Sd"
+ }
}
},
"output": {
@@ -1000,19 +1014,42 @@
"type": "string",
"sensitive": true
},
- "Sm": {
+ "Sd": {
+ "type": "structure",
+ "members": {
+ "level": {},
+ "includeExecutionData": {
+ "type": "boolean"
+ },
+ "destinations": {
+ "type": "list",
+ "member": {
+ "type": "structure",
+ "members": {
+ "cloudWatchLogsLogGroup": {
+ "type": "structure",
+ "members": {
+ "logGroupArn": {}
+ }
+ }
+ }
+ }
+ }
+ }
+ },
+ "St": {
"type": "string",
"sensitive": true
},
- "S16": {
+ "S1d": {
"type": "string",
"sensitive": true
},
- "S17": {
+ "S1e": {
"type": "string",
"sensitive": true
},
- "S1v": {
+ "S22": {
"type": "structure",
"members": {
"name": {},
diff --git a/apis/states-2016-11-23.normal.json b/apis/states-2016-11-23.normal.json
index ae17fff7f2..54a0b9a175 100644
--- a/apis/states-2016-11-23.normal.json
+++ b/apis/states-2016-11-23.normal.json
@@ -61,6 +61,9 @@
{
"shape": "InvalidName"
},
+ {
+ "shape": "InvalidLoggingConfiguration"
+ },
{
"shape": "StateMachineAlreadyExists"
},
@@ -70,6 +73,9 @@
{
"shape": "StateMachineLimitExceeded"
},
+ {
+ "shape": "StateMachineTypeNotSupported"
+ },
{
"shape": "TooManyTags"
}
@@ -293,6 +299,9 @@
},
{
"shape": "StateMachineDoesNotExist"
+ },
+ {
+ "shape": "StateMachineTypeNotSupported"
}
],
"documentation": "Lists the executions of a state machine that meet the filtering criteria. Results are sorted by time, with the most recent execution first.
If nextToken
is returned, there are more results available. The value of nextToken
is a unique pagination token for each page. Make the call again using the returned token to retrieve the next page. Keep all other arguments unchanged. Each pagination token expires after 24 hours. Using an expired pagination token will return an HTTP 400 InvalidToken error.
This operation is eventually consistent. The results are best effort and may not reflect very recent updates and changes.
"
@@ -542,6 +551,9 @@
{
"shape": "InvalidDefinition"
},
+ {
+ "shape": "InvalidLoggingConfiguration"
+ },
{
"shape": "MissingRequiredParameter"
},
@@ -680,6 +692,16 @@
"max": 256,
"min": 1
},
+ "CloudWatchLogsLogGroup": {
+ "type": "structure",
+ "members": {
+ "logGroupArn": {
+ "shape": "Arn",
+ "documentation": "The ARN of the the CloudWatch log group to which you want your logs emitted to. The ARN must end with :*
"
+ }
+ },
+ "documentation": ""
+ },
"ConnectorParameters": {
"type": "string",
"max": 32768,
@@ -739,6 +761,14 @@
"shape": "Arn",
"documentation": "The Amazon Resource Name (ARN) of the IAM role to use for this state machine.
"
},
+ "type": {
+ "shape": "StateMachineType",
+ "documentation": "Determines whether a Standard or Express state machine is created. If not set, Standard is created.
"
+ },
+ "loggingConfiguration": {
+ "shape": "LoggingConfiguration",
+ "documentation": "Defines what execution history events are logged and where they are logged.
"
+ },
"tags": {
"shape": "TagList",
"documentation": "Tags to be added when creating a state machine.
An array of key-value pairs. For more information, see Using Cost Allocation Tags in the AWS Billing and Cost Management User Guide, and Controlling Access Using IAM Tags.
Tags may only contain Unicode letters, digits, white space, or these symbols: _ . : / = + - @
.
"
@@ -953,6 +983,7 @@
"name",
"definition",
"roleArn",
+ "type",
"creationDate"
],
"members": {
@@ -976,9 +1007,17 @@
"shape": "Arn",
"documentation": "The Amazon Resource Name (ARN) of the IAM role used when creating this state machine. (The IAM role maintains security by granting Step Functions access to AWS resources.)
"
},
+ "type": {
+ "shape": "StateMachineType",
+ "documentation": ""
+ },
"creationDate": {
"shape": "Timestamp",
"documentation": "The date the state machine is created.
"
+ },
+ "loggingConfiguration": {
+ "shape": "LoggingConfiguration",
+ "documentation": ""
}
}
},
@@ -1383,6 +1422,9 @@
"type": "string",
"max": 256
},
+ "IncludeExecutionData": {
+ "type": "boolean"
+ },
"LambdaFunctionFailedEventDetails": {
"type": "structure",
"members": {
@@ -1594,6 +1636,49 @@
}
}
},
+ "LogDestination": {
+ "type": "structure",
+ "members": {
+ "cloudWatchLogsLogGroup": {
+ "shape": "CloudWatchLogsLogGroup",
+ "documentation": "An object describing a CloudWatch log group. For more information, see AWS::Logs::LogGroup in the AWS CloudFormation User Guide.
"
+ }
+ },
+ "documentation": ""
+ },
+ "LogDestinationList": {
+ "type": "list",
+ "member": {
+ "shape": "LogDestination"
+ }
+ },
+ "LogLevel": {
+ "type": "string",
+ "enum": [
+ "ALL",
+ "ERROR",
+ "FATAL",
+ "OFF"
+ ]
+ },
+ "LoggingConfiguration": {
+ "type": "structure",
+ "members": {
+ "level": {
+ "shape": "LogLevel",
+ "documentation": "Defines which category of execution history events are logged.
"
+ },
+ "includeExecutionData": {
+ "shape": "IncludeExecutionData",
+ "documentation": "Determines whether execution history data is included in your log. When set to FALSE
, data is excluded.
"
+ },
+ "destinations": {
+ "shape": "LogDestinationList",
+ "documentation": "An object that describes where your execution history events will be logged. Limited to size 1. Required, if your log level is not set to OFF
.
"
+ }
+ },
+ "documentation": ""
+ },
"MapIterationEventDetails": {
"type": "structure",
"members": {
@@ -1801,6 +1886,7 @@
"required": [
"stateMachineArn",
"name",
+ "type",
"creationDate"
],
"members": {
@@ -1812,6 +1898,10 @@
"shape": "Name",
"documentation": "The name of the state machine.
A name must not contain:
-
white space
-
brackets < > { } [ ]
-
wildcard characters ? *
-
special characters \" # % \\ ^ | ~ ` $ & , ; : /
-
control characters (U+0000-001F
, U+007F-009F
)
"
},
+ "type": {
+ "shape": "StateMachineType",
+ "documentation": ""
+ },
"creationDate": {
"shape": "Timestamp",
"documentation": "The date the state machine is created.
"
@@ -1826,6 +1916,13 @@
"DELETING"
]
},
+ "StateMachineType": {
+ "type": "string",
+ "enum": [
+ "STANDARD",
+ "EXPRESS"
+ ]
+ },
"StopExecutionInput": {
"type": "structure",
"required": [
@@ -2167,6 +2264,10 @@
"roleArn": {
"shape": "Arn",
"documentation": "The Amazon Resource Name (ARN) of the IAM role of the state machine.
"
+ },
+ "loggingConfiguration": {
+ "shape": "LoggingConfiguration",
+ "documentation": ""
}
}
},
diff --git a/clients/all.d.ts b/clients/all.d.ts
index 363375db3b..f4623d1e2a 100644
--- a/clients/all.d.ts
+++ b/clients/all.d.ts
@@ -214,3 +214,4 @@ export import Kendra = require('./kendra');
export import NetworkManager = require('./networkmanager');
export import Outposts = require('./outposts');
export import AugmentedAIRuntime = require('./augmentedairuntime');
+export import EBS = require('./ebs');
diff --git a/clients/all.js b/clients/all.js
index f00b1c9346..a80620963a 100644
--- a/clients/all.js
+++ b/clients/all.js
@@ -215,5 +215,6 @@ module.exports = {
Kendra: require('./kendra'),
NetworkManager: require('./networkmanager'),
Outposts: require('./outposts'),
- AugmentedAIRuntime: require('./augmentedairuntime')
+ AugmentedAIRuntime: require('./augmentedairuntime'),
+ EBS: require('./ebs')
};
\ No newline at end of file
diff --git a/clients/applicationautoscaling.d.ts b/clients/applicationautoscaling.d.ts
index d8489152b9..8fc49c469c 100644
--- a/clients/applicationautoscaling.d.ts
+++ b/clients/applicationautoscaling.d.ts
@@ -138,11 +138,11 @@ declare namespace ApplicationAutoScaling {
*/
ServiceNamespace: ServiceNamespace;
/**
- * The identifier of the resource associated with the scalable target. This string consists of the resource type and unique identifier. ECS service - The resource type is service and the unique identifier is the cluster name and service name. Example: service/default/sample-webapp. Spot Fleet request - The resource type is spot-fleet-request and the unique identifier is the Spot Fleet request ID. Example: spot-fleet-request/sfr-73fbd2ce-aa30-494c-8788-1cee4EXAMPLE. EMR cluster - The resource type is instancegroup and the unique identifier is the cluster ID and instance group ID. Example: instancegroup/j-2EEZNYKUA1NTV/ig-1791Y4E1L8YI0. AppStream 2.0 fleet - The resource type is fleet and the unique identifier is the fleet name. Example: fleet/sample-fleet. DynamoDB table - The resource type is table and the unique identifier is the table name. Example: table/my-table. DynamoDB global secondary index - The resource type is index and the unique identifier is the index name. Example: table/my-table/index/my-table-index. Aurora DB cluster - The resource type is cluster and the unique identifier is the cluster name. Example: cluster:my-db-cluster. Amazon SageMaker endpoint variant - The resource type is variant and the unique identifier is the resource ID. Example: endpoint/my-end-point/variant/KMeansClustering. Custom resources are not supported with a resource type. This parameter must specify the OutputValue from the CloudFormation template stack used to access the resources. The unique identifier is defined by the service provider. More information is available in our GitHub repository. Amazon Comprehend document classification endpoint - The resource type and unique identifier are specified using the endpoint ARN. Example: arn:aws:comprehend:us-west-2:123456789012:document-classifier-endpoint/EXAMPLE.
+ * The identifier of the resource associated with the scalable target. This string consists of the resource type and unique identifier. ECS service - The resource type is service and the unique identifier is the cluster name and service name. Example: service/default/sample-webapp. Spot Fleet request - The resource type is spot-fleet-request and the unique identifier is the Spot Fleet request ID. Example: spot-fleet-request/sfr-73fbd2ce-aa30-494c-8788-1cee4EXAMPLE. EMR cluster - The resource type is instancegroup and the unique identifier is the cluster ID and instance group ID. Example: instancegroup/j-2EEZNYKUA1NTV/ig-1791Y4E1L8YI0. AppStream 2.0 fleet - The resource type is fleet and the unique identifier is the fleet name. Example: fleet/sample-fleet. DynamoDB table - The resource type is table and the unique identifier is the table name. Example: table/my-table. DynamoDB global secondary index - The resource type is index and the unique identifier is the index name. Example: table/my-table/index/my-table-index. Aurora DB cluster - The resource type is cluster and the unique identifier is the cluster name. Example: cluster:my-db-cluster. Amazon SageMaker endpoint variant - The resource type is variant and the unique identifier is the resource ID. Example: endpoint/my-end-point/variant/KMeansClustering. Custom resources are not supported with a resource type. This parameter must specify the OutputValue from the CloudFormation template stack used to access the resources. The unique identifier is defined by the service provider. More information is available in our GitHub repository. Amazon Comprehend document classification endpoint - The resource type and unique identifier are specified using the endpoint ARN. Example: arn:aws:comprehend:us-west-2:123456789012:document-classifier-endpoint/EXAMPLE. Lambda provisioned concurrency - The resource type is function and the unique identifier is the function name with a function version or alias name suffix that is not $LATEST. Example: function:my-function:prod or function:my-function:1.
*/
ResourceId: ResourceIdMaxLen1600;
/**
- * The scalable dimension. This string consists of the service namespace, resource type, and scaling property. ecs:service:DesiredCount - The desired task count of an ECS service. ec2:spot-fleet-request:TargetCapacity - The target capacity of a Spot Fleet request. elasticmapreduce:instancegroup:InstanceCount - The instance count of an EMR Instance Group. appstream:fleet:DesiredCapacity - The desired capacity of an AppStream 2.0 fleet. dynamodb:table:ReadCapacityUnits - The provisioned read capacity for a DynamoDB table. dynamodb:table:WriteCapacityUnits - The provisioned write capacity for a DynamoDB table. dynamodb:index:ReadCapacityUnits - The provisioned read capacity for a DynamoDB global secondary index. dynamodb:index:WriteCapacityUnits - The provisioned write capacity for a DynamoDB global secondary index. rds:cluster:ReadReplicaCount - The count of Aurora Replicas in an Aurora DB cluster. Available for Aurora MySQL-compatible edition and Aurora PostgreSQL-compatible edition. sagemaker:variant:DesiredInstanceCount - The number of EC2 instances for an Amazon SageMaker model endpoint variant. custom-resource:ResourceType:Property - The scalable dimension for a custom resource provided by your own application or service. comprehend:document-classifier-endpoint:DesiredInferenceUnits - The number of inference units for an Amazon Comprehend document classification endpoint.
+ * The scalable dimension. This string consists of the service namespace, resource type, and scaling property. ecs:service:DesiredCount - The desired task count of an ECS service. ec2:spot-fleet-request:TargetCapacity - The target capacity of a Spot Fleet request. elasticmapreduce:instancegroup:InstanceCount - The instance count of an EMR Instance Group. appstream:fleet:DesiredCapacity - The desired capacity of an AppStream 2.0 fleet. dynamodb:table:ReadCapacityUnits - The provisioned read capacity for a DynamoDB table. dynamodb:table:WriteCapacityUnits - The provisioned write capacity for a DynamoDB table. dynamodb:index:ReadCapacityUnits - The provisioned read capacity for a DynamoDB global secondary index. dynamodb:index:WriteCapacityUnits - The provisioned write capacity for a DynamoDB global secondary index. rds:cluster:ReadReplicaCount - The count of Aurora Replicas in an Aurora DB cluster. Available for Aurora MySQL-compatible edition and Aurora PostgreSQL-compatible edition. sagemaker:variant:DesiredInstanceCount - The number of EC2 instances for an Amazon SageMaker model endpoint variant. custom-resource:ResourceType:Property - The scalable dimension for a custom resource provided by your own application or service. comprehend:document-classifier-endpoint:DesiredInferenceUnits - The number of inference units for an Amazon Comprehend document classification endpoint. lambda:function:ProvisionedConcurrency - The provisioned concurrency for a Lambda function.
*/
ScalableDimension: ScalableDimension;
}
@@ -158,11 +158,11 @@ declare namespace ApplicationAutoScaling {
*/
ScheduledActionName: ResourceIdMaxLen1600;
/**
- * The identifier of the resource associated with the scheduled action. This string consists of the resource type and unique identifier. ECS service - The resource type is service and the unique identifier is the cluster name and service name. Example: service/default/sample-webapp. Spot Fleet request - The resource type is spot-fleet-request and the unique identifier is the Spot Fleet request ID. Example: spot-fleet-request/sfr-73fbd2ce-aa30-494c-8788-1cee4EXAMPLE. EMR cluster - The resource type is instancegroup and the unique identifier is the cluster ID and instance group ID. Example: instancegroup/j-2EEZNYKUA1NTV/ig-1791Y4E1L8YI0. AppStream 2.0 fleet - The resource type is fleet and the unique identifier is the fleet name. Example: fleet/sample-fleet. DynamoDB table - The resource type is table and the unique identifier is the table name. Example: table/my-table. DynamoDB global secondary index - The resource type is index and the unique identifier is the index name. Example: table/my-table/index/my-table-index. Aurora DB cluster - The resource type is cluster and the unique identifier is the cluster name. Example: cluster:my-db-cluster. Amazon SageMaker endpoint variant - The resource type is variant and the unique identifier is the resource ID. Example: endpoint/my-end-point/variant/KMeansClustering. Custom resources are not supported with a resource type. This parameter must specify the OutputValue from the CloudFormation template stack used to access the resources. The unique identifier is defined by the service provider. More information is available in our GitHub repository. Amazon Comprehend document classification endpoint - The resource type and unique identifier are specified using the endpoint ARN. Example: arn:aws:comprehend:us-west-2:123456789012:document-classifier-endpoint/EXAMPLE.
+ * The identifier of the resource associated with the scheduled action. This string consists of the resource type and unique identifier. ECS service - The resource type is service and the unique identifier is the cluster name and service name. Example: service/default/sample-webapp. Spot Fleet request - The resource type is spot-fleet-request and the unique identifier is the Spot Fleet request ID. Example: spot-fleet-request/sfr-73fbd2ce-aa30-494c-8788-1cee4EXAMPLE. EMR cluster - The resource type is instancegroup and the unique identifier is the cluster ID and instance group ID. Example: instancegroup/j-2EEZNYKUA1NTV/ig-1791Y4E1L8YI0. AppStream 2.0 fleet - The resource type is fleet and the unique identifier is the fleet name. Example: fleet/sample-fleet. DynamoDB table - The resource type is table and the unique identifier is the table name. Example: table/my-table. DynamoDB global secondary index - The resource type is index and the unique identifier is the index name. Example: table/my-table/index/my-table-index. Aurora DB cluster - The resource type is cluster and the unique identifier is the cluster name. Example: cluster:my-db-cluster. Amazon SageMaker endpoint variant - The resource type is variant and the unique identifier is the resource ID. Example: endpoint/my-end-point/variant/KMeansClustering. Custom resources are not supported with a resource type. This parameter must specify the OutputValue from the CloudFormation template stack used to access the resources. The unique identifier is defined by the service provider. More information is available in our GitHub repository. Amazon Comprehend document classification endpoint - The resource type and unique identifier are specified using the endpoint ARN. Example: arn:aws:comprehend:us-west-2:123456789012:document-classifier-endpoint/EXAMPLE. Lambda provisioned concurrency - The resource type is function and the unique identifier is the function name with a function version or alias name suffix that is not $LATEST. Example: function:my-function:prod or function:my-function:1.
*/
ResourceId: ResourceIdMaxLen1600;
/**
- * The scalable dimension. This string consists of the service namespace, resource type, and scaling property. ecs:service:DesiredCount - The desired task count of an ECS service. ec2:spot-fleet-request:TargetCapacity - The target capacity of a Spot Fleet request. elasticmapreduce:instancegroup:InstanceCount - The instance count of an EMR Instance Group. appstream:fleet:DesiredCapacity - The desired capacity of an AppStream 2.0 fleet. dynamodb:table:ReadCapacityUnits - The provisioned read capacity for a DynamoDB table. dynamodb:table:WriteCapacityUnits - The provisioned write capacity for a DynamoDB table. dynamodb:index:ReadCapacityUnits - The provisioned read capacity for a DynamoDB global secondary index. dynamodb:index:WriteCapacityUnits - The provisioned write capacity for a DynamoDB global secondary index. rds:cluster:ReadReplicaCount - The count of Aurora Replicas in an Aurora DB cluster. Available for Aurora MySQL-compatible edition and Aurora PostgreSQL-compatible edition. sagemaker:variant:DesiredInstanceCount - The number of EC2 instances for an Amazon SageMaker model endpoint variant. custom-resource:ResourceType:Property - The scalable dimension for a custom resource provided by your own application or service. comprehend:document-classifier-endpoint:DesiredInferenceUnits - The number of inference units for an Amazon Comprehend document classification endpoint.
+ * The scalable dimension. This string consists of the service namespace, resource type, and scaling property. ecs:service:DesiredCount - The desired task count of an ECS service. ec2:spot-fleet-request:TargetCapacity - The target capacity of a Spot Fleet request. elasticmapreduce:instancegroup:InstanceCount - The instance count of an EMR Instance Group. appstream:fleet:DesiredCapacity - The desired capacity of an AppStream 2.0 fleet. dynamodb:table:ReadCapacityUnits - The provisioned read capacity for a DynamoDB table. dynamodb:table:WriteCapacityUnits - The provisioned write capacity for a DynamoDB table. dynamodb:index:ReadCapacityUnits - The provisioned read capacity for a DynamoDB global secondary index. dynamodb:index:WriteCapacityUnits - The provisioned write capacity for a DynamoDB global secondary index. rds:cluster:ReadReplicaCount - The count of Aurora Replicas in an Aurora DB cluster. Available for Aurora MySQL-compatible edition and Aurora PostgreSQL-compatible edition. sagemaker:variant:DesiredInstanceCount - The number of EC2 instances for an Amazon SageMaker model endpoint variant. custom-resource:ResourceType:Property - The scalable dimension for a custom resource provided by your own application or service. comprehend:document-classifier-endpoint:DesiredInferenceUnits - The number of inference units for an Amazon Comprehend document classification endpoint. lambda:function:ProvisionedConcurrency - The provisioned concurrency for a Lambda function.
*/
ScalableDimension: ScalableDimension;
}
@@ -174,11 +174,11 @@ declare namespace ApplicationAutoScaling {
*/
ServiceNamespace: ServiceNamespace;
/**
- * The identifier of the resource associated with the scalable target. This string consists of the resource type and unique identifier. ECS service - The resource type is service and the unique identifier is the cluster name and service name. Example: service/default/sample-webapp. Spot Fleet request - The resource type is spot-fleet-request and the unique identifier is the Spot Fleet request ID. Example: spot-fleet-request/sfr-73fbd2ce-aa30-494c-8788-1cee4EXAMPLE. EMR cluster - The resource type is instancegroup and the unique identifier is the cluster ID and instance group ID. Example: instancegroup/j-2EEZNYKUA1NTV/ig-1791Y4E1L8YI0. AppStream 2.0 fleet - The resource type is fleet and the unique identifier is the fleet name. Example: fleet/sample-fleet. DynamoDB table - The resource type is table and the unique identifier is the table name. Example: table/my-table. DynamoDB global secondary index - The resource type is index and the unique identifier is the index name. Example: table/my-table/index/my-table-index. Aurora DB cluster - The resource type is cluster and the unique identifier is the cluster name. Example: cluster:my-db-cluster. Amazon SageMaker endpoint variant - The resource type is variant and the unique identifier is the resource ID. Example: endpoint/my-end-point/variant/KMeansClustering. Custom resources are not supported with a resource type. This parameter must specify the OutputValue from the CloudFormation template stack used to access the resources. The unique identifier is defined by the service provider. More information is available in our GitHub repository. Amazon Comprehend document classification endpoint - The resource type and unique identifier are specified using the endpoint ARN. Example: arn:aws:comprehend:us-west-2:123456789012:document-classifier-endpoint/EXAMPLE.
+ * The identifier of the resource associated with the scalable target. This string consists of the resource type and unique identifier. ECS service - The resource type is service and the unique identifier is the cluster name and service name. Example: service/default/sample-webapp. Spot Fleet request - The resource type is spot-fleet-request and the unique identifier is the Spot Fleet request ID. Example: spot-fleet-request/sfr-73fbd2ce-aa30-494c-8788-1cee4EXAMPLE. EMR cluster - The resource type is instancegroup and the unique identifier is the cluster ID and instance group ID. Example: instancegroup/j-2EEZNYKUA1NTV/ig-1791Y4E1L8YI0. AppStream 2.0 fleet - The resource type is fleet and the unique identifier is the fleet name. Example: fleet/sample-fleet. DynamoDB table - The resource type is table and the unique identifier is the table name. Example: table/my-table. DynamoDB global secondary index - The resource type is index and the unique identifier is the index name. Example: table/my-table/index/my-table-index. Aurora DB cluster - The resource type is cluster and the unique identifier is the cluster name. Example: cluster:my-db-cluster. Amazon SageMaker endpoint variant - The resource type is variant and the unique identifier is the resource ID. Example: endpoint/my-end-point/variant/KMeansClustering. Custom resources are not supported with a resource type. This parameter must specify the OutputValue from the CloudFormation template stack used to access the resources. The unique identifier is defined by the service provider. More information is available in our GitHub repository. Amazon Comprehend document classification endpoint - The resource type and unique identifier are specified using the endpoint ARN. Example: arn:aws:comprehend:us-west-2:123456789012:document-classifier-endpoint/EXAMPLE. Lambda provisioned concurrency - The resource type is function and the unique identifier is the function name with a function version or alias name suffix that is not $LATEST. Example: function:my-function:prod or function:my-function:1.
*/
ResourceId: ResourceIdMaxLen1600;
/**
- * The scalable dimension associated with the scalable target. This string consists of the service namespace, resource type, and scaling property. ecs:service:DesiredCount - The desired task count of an ECS service. ec2:spot-fleet-request:TargetCapacity - The target capacity of a Spot Fleet request. elasticmapreduce:instancegroup:InstanceCount - The instance count of an EMR Instance Group. appstream:fleet:DesiredCapacity - The desired capacity of an AppStream 2.0 fleet. dynamodb:table:ReadCapacityUnits - The provisioned read capacity for a DynamoDB table. dynamodb:table:WriteCapacityUnits - The provisioned write capacity for a DynamoDB table. dynamodb:index:ReadCapacityUnits - The provisioned read capacity for a DynamoDB global secondary index. dynamodb:index:WriteCapacityUnits - The provisioned write capacity for a DynamoDB global secondary index. rds:cluster:ReadReplicaCount - The count of Aurora Replicas in an Aurora DB cluster. Available for Aurora MySQL-compatible edition and Aurora PostgreSQL-compatible edition. sagemaker:variant:DesiredInstanceCount - The number of EC2 instances for an Amazon SageMaker model endpoint variant. custom-resource:ResourceType:Property - The scalable dimension for a custom resource provided by your own application or service. comprehend:document-classifier-endpoint:DesiredInferenceUnits - The number of inference units for an Amazon Comprehend document classification endpoint.
+ * The scalable dimension associated with the scalable target. This string consists of the service namespace, resource type, and scaling property. ecs:service:DesiredCount - The desired task count of an ECS service. ec2:spot-fleet-request:TargetCapacity - The target capacity of a Spot Fleet request. elasticmapreduce:instancegroup:InstanceCount - The instance count of an EMR Instance Group. appstream:fleet:DesiredCapacity - The desired capacity of an AppStream 2.0 fleet. dynamodb:table:ReadCapacityUnits - The provisioned read capacity for a DynamoDB table. dynamodb:table:WriteCapacityUnits - The provisioned write capacity for a DynamoDB table. dynamodb:index:ReadCapacityUnits - The provisioned read capacity for a DynamoDB global secondary index. dynamodb:index:WriteCapacityUnits - The provisioned write capacity for a DynamoDB global secondary index. rds:cluster:ReadReplicaCount - The count of Aurora Replicas in an Aurora DB cluster. Available for Aurora MySQL-compatible edition and Aurora PostgreSQL-compatible edition. sagemaker:variant:DesiredInstanceCount - The number of EC2 instances for an Amazon SageMaker model endpoint variant. custom-resource:ResourceType:Property - The scalable dimension for a custom resource provided by your own application or service. comprehend:document-classifier-endpoint:DesiredInferenceUnits - The number of inference units for an Amazon Comprehend document classification endpoint. lambda:function:ProvisionedConcurrency - The provisioned concurrency for a Lambda function.
*/
ScalableDimension: ScalableDimension;
}
@@ -190,11 +190,11 @@ declare namespace ApplicationAutoScaling {
*/
ServiceNamespace: ServiceNamespace;
/**
- * The identifier of the resource associated with the scalable target. This string consists of the resource type and unique identifier. If you specify a scalable dimension, you must also specify a resource ID. ECS service - The resource type is service and the unique identifier is the cluster name and service name. Example: service/default/sample-webapp. Spot Fleet request - The resource type is spot-fleet-request and the unique identifier is the Spot Fleet request ID. Example: spot-fleet-request/sfr-73fbd2ce-aa30-494c-8788-1cee4EXAMPLE. EMR cluster - The resource type is instancegroup and the unique identifier is the cluster ID and instance group ID. Example: instancegroup/j-2EEZNYKUA1NTV/ig-1791Y4E1L8YI0. AppStream 2.0 fleet - The resource type is fleet and the unique identifier is the fleet name. Example: fleet/sample-fleet. DynamoDB table - The resource type is table and the unique identifier is the table name. Example: table/my-table. DynamoDB global secondary index - The resource type is index and the unique identifier is the index name. Example: table/my-table/index/my-table-index. Aurora DB cluster - The resource type is cluster and the unique identifier is the cluster name. Example: cluster:my-db-cluster. Amazon SageMaker endpoint variant - The resource type is variant and the unique identifier is the resource ID. Example: endpoint/my-end-point/variant/KMeansClustering. Custom resources are not supported with a resource type. This parameter must specify the OutputValue from the CloudFormation template stack used to access the resources. The unique identifier is defined by the service provider. More information is available in our GitHub repository. Amazon Comprehend document classification endpoint - The resource type and unique identifier are specified using the endpoint ARN. Example: arn:aws:comprehend:us-west-2:123456789012:document-classifier-endpoint/EXAMPLE.
+ * The identifier of the resource associated with the scalable target. This string consists of the resource type and unique identifier. If you specify a scalable dimension, you must also specify a resource ID. ECS service - The resource type is service and the unique identifier is the cluster name and service name. Example: service/default/sample-webapp. Spot Fleet request - The resource type is spot-fleet-request and the unique identifier is the Spot Fleet request ID. Example: spot-fleet-request/sfr-73fbd2ce-aa30-494c-8788-1cee4EXAMPLE. EMR cluster - The resource type is instancegroup and the unique identifier is the cluster ID and instance group ID. Example: instancegroup/j-2EEZNYKUA1NTV/ig-1791Y4E1L8YI0. AppStream 2.0 fleet - The resource type is fleet and the unique identifier is the fleet name. Example: fleet/sample-fleet. DynamoDB table - The resource type is table and the unique identifier is the table name. Example: table/my-table. DynamoDB global secondary index - The resource type is index and the unique identifier is the index name. Example: table/my-table/index/my-table-index. Aurora DB cluster - The resource type is cluster and the unique identifier is the cluster name. Example: cluster:my-db-cluster. Amazon SageMaker endpoint variant - The resource type is variant and the unique identifier is the resource ID. Example: endpoint/my-end-point/variant/KMeansClustering. Custom resources are not supported with a resource type. This parameter must specify the OutputValue from the CloudFormation template stack used to access the resources. The unique identifier is defined by the service provider. More information is available in our GitHub repository. Amazon Comprehend document classification endpoint - The resource type and unique identifier are specified using the endpoint ARN. Example: arn:aws:comprehend:us-west-2:123456789012:document-classifier-endpoint/EXAMPLE. Lambda provisioned concurrency - The resource type is function and the unique identifier is the function name with a function version or alias name suffix that is not $LATEST. Example: function:my-function:prod or function:my-function:1.
*/
ResourceIds?: ResourceIdsMaxLen1600;
/**
- * The scalable dimension associated with the scalable target. This string consists of the service namespace, resource type, and scaling property. If you specify a scalable dimension, you must also specify a resource ID. ecs:service:DesiredCount - The desired task count of an ECS service. ec2:spot-fleet-request:TargetCapacity - The target capacity of a Spot Fleet request. elasticmapreduce:instancegroup:InstanceCount - The instance count of an EMR Instance Group. appstream:fleet:DesiredCapacity - The desired capacity of an AppStream 2.0 fleet. dynamodb:table:ReadCapacityUnits - The provisioned read capacity for a DynamoDB table. dynamodb:table:WriteCapacityUnits - The provisioned write capacity for a DynamoDB table. dynamodb:index:ReadCapacityUnits - The provisioned read capacity for a DynamoDB global secondary index. dynamodb:index:WriteCapacityUnits - The provisioned write capacity for a DynamoDB global secondary index. rds:cluster:ReadReplicaCount - The count of Aurora Replicas in an Aurora DB cluster. Available for Aurora MySQL-compatible edition and Aurora PostgreSQL-compatible edition. sagemaker:variant:DesiredInstanceCount - The number of EC2 instances for an Amazon SageMaker model endpoint variant. custom-resource:ResourceType:Property - The scalable dimension for a custom resource provided by your own application or service. comprehend:document-classifier-endpoint:DesiredInferenceUnits - The number of inference units for an Amazon Comprehend document classification endpoint.
+ * The scalable dimension associated with the scalable target. This string consists of the service namespace, resource type, and scaling property. If you specify a scalable dimension, you must also specify a resource ID. ecs:service:DesiredCount - The desired task count of an ECS service. ec2:spot-fleet-request:TargetCapacity - The target capacity of a Spot Fleet request. elasticmapreduce:instancegroup:InstanceCount - The instance count of an EMR Instance Group. appstream:fleet:DesiredCapacity - The desired capacity of an AppStream 2.0 fleet. dynamodb:table:ReadCapacityUnits - The provisioned read capacity for a DynamoDB table. dynamodb:table:WriteCapacityUnits - The provisioned write capacity for a DynamoDB table. dynamodb:index:ReadCapacityUnits - The provisioned read capacity for a DynamoDB global secondary index. dynamodb:index:WriteCapacityUnits - The provisioned write capacity for a DynamoDB global secondary index. rds:cluster:ReadReplicaCount - The count of Aurora Replicas in an Aurora DB cluster. Available for Aurora MySQL-compatible edition and Aurora PostgreSQL-compatible edition. sagemaker:variant:DesiredInstanceCount - The number of EC2 instances for an Amazon SageMaker model endpoint variant. custom-resource:ResourceType:Property - The scalable dimension for a custom resource provided by your own application or service. comprehend:document-classifier-endpoint:DesiredInferenceUnits - The number of inference units for an Amazon Comprehend document classification endpoint. lambda:function:ProvisionedConcurrency - The provisioned concurrency for a Lambda function.
*/
ScalableDimension?: ScalableDimension;
/**
@@ -222,11 +222,11 @@ declare namespace ApplicationAutoScaling {
*/
ServiceNamespace: ServiceNamespace;
/**
- * The identifier of the resource associated with the scaling activity. This string consists of the resource type and unique identifier. If you specify a scalable dimension, you must also specify a resource ID. ECS service - The resource type is service and the unique identifier is the cluster name and service name. Example: service/default/sample-webapp. Spot Fleet request - The resource type is spot-fleet-request and the unique identifier is the Spot Fleet request ID. Example: spot-fleet-request/sfr-73fbd2ce-aa30-494c-8788-1cee4EXAMPLE. EMR cluster - The resource type is instancegroup and the unique identifier is the cluster ID and instance group ID. Example: instancegroup/j-2EEZNYKUA1NTV/ig-1791Y4E1L8YI0. AppStream 2.0 fleet - The resource type is fleet and the unique identifier is the fleet name. Example: fleet/sample-fleet. DynamoDB table - The resource type is table and the unique identifier is the table name. Example: table/my-table. DynamoDB global secondary index - The resource type is index and the unique identifier is the index name. Example: table/my-table/index/my-table-index. Aurora DB cluster - The resource type is cluster and the unique identifier is the cluster name. Example: cluster:my-db-cluster. Amazon SageMaker endpoint variant - The resource type is variant and the unique identifier is the resource ID. Example: endpoint/my-end-point/variant/KMeansClustering. Custom resources are not supported with a resource type. This parameter must specify the OutputValue from the CloudFormation template stack used to access the resources. The unique identifier is defined by the service provider. More information is available in our GitHub repository. Amazon Comprehend document classification endpoint - The resource type and unique identifier are specified using the endpoint ARN. Example: arn:aws:comprehend:us-west-2:123456789012:document-classifier-endpoint/EXAMPLE.
+ * The identifier of the resource associated with the scaling activity. This string consists of the resource type and unique identifier. If you specify a scalable dimension, you must also specify a resource ID. ECS service - The resource type is service and the unique identifier is the cluster name and service name. Example: service/default/sample-webapp. Spot Fleet request - The resource type is spot-fleet-request and the unique identifier is the Spot Fleet request ID. Example: spot-fleet-request/sfr-73fbd2ce-aa30-494c-8788-1cee4EXAMPLE. EMR cluster - The resource type is instancegroup and the unique identifier is the cluster ID and instance group ID. Example: instancegroup/j-2EEZNYKUA1NTV/ig-1791Y4E1L8YI0. AppStream 2.0 fleet - The resource type is fleet and the unique identifier is the fleet name. Example: fleet/sample-fleet. DynamoDB table - The resource type is table and the unique identifier is the table name. Example: table/my-table. DynamoDB global secondary index - The resource type is index and the unique identifier is the index name. Example: table/my-table/index/my-table-index. Aurora DB cluster - The resource type is cluster and the unique identifier is the cluster name. Example: cluster:my-db-cluster. Amazon SageMaker endpoint variant - The resource type is variant and the unique identifier is the resource ID. Example: endpoint/my-end-point/variant/KMeansClustering. Custom resources are not supported with a resource type. This parameter must specify the OutputValue from the CloudFormation template stack used to access the resources. The unique identifier is defined by the service provider. More information is available in our GitHub repository. Amazon Comprehend document classification endpoint - The resource type and unique identifier are specified using the endpoint ARN. Example: arn:aws:comprehend:us-west-2:123456789012:document-classifier-endpoint/EXAMPLE. Lambda provisioned concurrency - The resource type is function and the unique identifier is the function name with a function version or alias name suffix that is not $LATEST. Example: function:my-function:prod or function:my-function:1.
*/
ResourceId?: ResourceIdMaxLen1600;
/**
- * The scalable dimension. This string consists of the service namespace, resource type, and scaling property. If you specify a scalable dimension, you must also specify a resource ID. ecs:service:DesiredCount - The desired task count of an ECS service. ec2:spot-fleet-request:TargetCapacity - The target capacity of a Spot Fleet request. elasticmapreduce:instancegroup:InstanceCount - The instance count of an EMR Instance Group. appstream:fleet:DesiredCapacity - The desired capacity of an AppStream 2.0 fleet. dynamodb:table:ReadCapacityUnits - The provisioned read capacity for a DynamoDB table. dynamodb:table:WriteCapacityUnits - The provisioned write capacity for a DynamoDB table. dynamodb:index:ReadCapacityUnits - The provisioned read capacity for a DynamoDB global secondary index. dynamodb:index:WriteCapacityUnits - The provisioned write capacity for a DynamoDB global secondary index. rds:cluster:ReadReplicaCount - The count of Aurora Replicas in an Aurora DB cluster. Available for Aurora MySQL-compatible edition and Aurora PostgreSQL-compatible edition. sagemaker:variant:DesiredInstanceCount - The number of EC2 instances for an Amazon SageMaker model endpoint variant. custom-resource:ResourceType:Property - The scalable dimension for a custom resource provided by your own application or service. comprehend:document-classifier-endpoint:DesiredInferenceUnits - The number of inference units for an Amazon Comprehend document classification endpoint.
+ * The scalable dimension. This string consists of the service namespace, resource type, and scaling property. If you specify a scalable dimension, you must also specify a resource ID. ecs:service:DesiredCount - The desired task count of an ECS service. ec2:spot-fleet-request:TargetCapacity - The target capacity of a Spot Fleet request. elasticmapreduce:instancegroup:InstanceCount - The instance count of an EMR Instance Group. appstream:fleet:DesiredCapacity - The desired capacity of an AppStream 2.0 fleet. dynamodb:table:ReadCapacityUnits - The provisioned read capacity for a DynamoDB table. dynamodb:table:WriteCapacityUnits - The provisioned write capacity for a DynamoDB table. dynamodb:index:ReadCapacityUnits - The provisioned read capacity for a DynamoDB global secondary index. dynamodb:index:WriteCapacityUnits - The provisioned write capacity for a DynamoDB global secondary index. rds:cluster:ReadReplicaCount - The count of Aurora Replicas in an Aurora DB cluster. Available for Aurora MySQL-compatible edition and Aurora PostgreSQL-compatible edition. sagemaker:variant:DesiredInstanceCount - The number of EC2 instances for an Amazon SageMaker model endpoint variant. custom-resource:ResourceType:Property - The scalable dimension for a custom resource provided by your own application or service. comprehend:document-classifier-endpoint:DesiredInferenceUnits - The number of inference units for an Amazon Comprehend document classification endpoint. lambda:function:ProvisionedConcurrency - The provisioned concurrency for a Lambda function.
*/
ScalableDimension?: ScalableDimension;
/**
@@ -258,11 +258,11 @@ declare namespace ApplicationAutoScaling {
*/
ServiceNamespace: ServiceNamespace;
/**
- * The identifier of the resource associated with the scaling policy. This string consists of the resource type and unique identifier. If you specify a scalable dimension, you must also specify a resource ID. ECS service - The resource type is service and the unique identifier is the cluster name and service name. Example: service/default/sample-webapp. Spot Fleet request - The resource type is spot-fleet-request and the unique identifier is the Spot Fleet request ID. Example: spot-fleet-request/sfr-73fbd2ce-aa30-494c-8788-1cee4EXAMPLE. EMR cluster - The resource type is instancegroup and the unique identifier is the cluster ID and instance group ID. Example: instancegroup/j-2EEZNYKUA1NTV/ig-1791Y4E1L8YI0. AppStream 2.0 fleet - The resource type is fleet and the unique identifier is the fleet name. Example: fleet/sample-fleet. DynamoDB table - The resource type is table and the unique identifier is the table name. Example: table/my-table. DynamoDB global secondary index - The resource type is index and the unique identifier is the index name. Example: table/my-table/index/my-table-index. Aurora DB cluster - The resource type is cluster and the unique identifier is the cluster name. Example: cluster:my-db-cluster. Amazon SageMaker endpoint variant - The resource type is variant and the unique identifier is the resource ID. Example: endpoint/my-end-point/variant/KMeansClustering. Custom resources are not supported with a resource type. This parameter must specify the OutputValue from the CloudFormation template stack used to access the resources. The unique identifier is defined by the service provider. More information is available in our GitHub repository. Amazon Comprehend document classification endpoint - The resource type and unique identifier are specified using the endpoint ARN. Example: arn:aws:comprehend:us-west-2:123456789012:document-classifier-endpoint/EXAMPLE.
+ * The identifier of the resource associated with the scaling policy. This string consists of the resource type and unique identifier. If you specify a scalable dimension, you must also specify a resource ID. ECS service - The resource type is service and the unique identifier is the cluster name and service name. Example: service/default/sample-webapp. Spot Fleet request - The resource type is spot-fleet-request and the unique identifier is the Spot Fleet request ID. Example: spot-fleet-request/sfr-73fbd2ce-aa30-494c-8788-1cee4EXAMPLE. EMR cluster - The resource type is instancegroup and the unique identifier is the cluster ID and instance group ID. Example: instancegroup/j-2EEZNYKUA1NTV/ig-1791Y4E1L8YI0. AppStream 2.0 fleet - The resource type is fleet and the unique identifier is the fleet name. Example: fleet/sample-fleet. DynamoDB table - The resource type is table and the unique identifier is the table name. Example: table/my-table. DynamoDB global secondary index - The resource type is index and the unique identifier is the index name. Example: table/my-table/index/my-table-index. Aurora DB cluster - The resource type is cluster and the unique identifier is the cluster name. Example: cluster:my-db-cluster. Amazon SageMaker endpoint variant - The resource type is variant and the unique identifier is the resource ID. Example: endpoint/my-end-point/variant/KMeansClustering. Custom resources are not supported with a resource type. This parameter must specify the OutputValue from the CloudFormation template stack used to access the resources. The unique identifier is defined by the service provider. More information is available in our GitHub repository. Amazon Comprehend document classification endpoint - The resource type and unique identifier are specified using the endpoint ARN. Example: arn:aws:comprehend:us-west-2:123456789012:document-classifier-endpoint/EXAMPLE. Lambda provisioned concurrency - The resource type is function and the unique identifier is the function name with a function version or alias name suffix that is not $LATEST. Example: function:my-function:prod or function:my-function:1.
*/
ResourceId?: ResourceIdMaxLen1600;
/**
- * The scalable dimension. This string consists of the service namespace, resource type, and scaling property. If you specify a scalable dimension, you must also specify a resource ID. ecs:service:DesiredCount - The desired task count of an ECS service. ec2:spot-fleet-request:TargetCapacity - The target capacity of a Spot Fleet request. elasticmapreduce:instancegroup:InstanceCount - The instance count of an EMR Instance Group. appstream:fleet:DesiredCapacity - The desired capacity of an AppStream 2.0 fleet. dynamodb:table:ReadCapacityUnits - The provisioned read capacity for a DynamoDB table. dynamodb:table:WriteCapacityUnits - The provisioned write capacity for a DynamoDB table. dynamodb:index:ReadCapacityUnits - The provisioned read capacity for a DynamoDB global secondary index. dynamodb:index:WriteCapacityUnits - The provisioned write capacity for a DynamoDB global secondary index. rds:cluster:ReadReplicaCount - The count of Aurora Replicas in an Aurora DB cluster. Available for Aurora MySQL-compatible edition and Aurora PostgreSQL-compatible edition. sagemaker:variant:DesiredInstanceCount - The number of EC2 instances for an Amazon SageMaker model endpoint variant. custom-resource:ResourceType:Property - The scalable dimension for a custom resource provided by your own application or service. comprehend:document-classifier-endpoint:DesiredInferenceUnits - The number of inference units for an Amazon Comprehend document classification endpoint.
+ * The scalable dimension. This string consists of the service namespace, resource type, and scaling property. If you specify a scalable dimension, you must also specify a resource ID. ecs:service:DesiredCount - The desired task count of an ECS service. ec2:spot-fleet-request:TargetCapacity - The target capacity of a Spot Fleet request. elasticmapreduce:instancegroup:InstanceCount - The instance count of an EMR Instance Group. appstream:fleet:DesiredCapacity - The desired capacity of an AppStream 2.0 fleet. dynamodb:table:ReadCapacityUnits - The provisioned read capacity for a DynamoDB table. dynamodb:table:WriteCapacityUnits - The provisioned write capacity for a DynamoDB table. dynamodb:index:ReadCapacityUnits - The provisioned read capacity for a DynamoDB global secondary index. dynamodb:index:WriteCapacityUnits - The provisioned write capacity for a DynamoDB global secondary index. rds:cluster:ReadReplicaCount - The count of Aurora Replicas in an Aurora DB cluster. Available for Aurora MySQL-compatible edition and Aurora PostgreSQL-compatible edition. sagemaker:variant:DesiredInstanceCount - The number of EC2 instances for an Amazon SageMaker model endpoint variant. custom-resource:ResourceType:Property - The scalable dimension for a custom resource provided by your own application or service. comprehend:document-classifier-endpoint:DesiredInferenceUnits - The number of inference units for an Amazon Comprehend document classification endpoint. lambda:function:ProvisionedConcurrency - The provisioned concurrency for a Lambda function.
*/
ScalableDimension?: ScalableDimension;
/**
@@ -294,11 +294,11 @@ declare namespace ApplicationAutoScaling {
*/
ServiceNamespace: ServiceNamespace;
/**
- * The identifier of the resource associated with the scheduled action. This string consists of the resource type and unique identifier. If you specify a scalable dimension, you must also specify a resource ID. ECS service - The resource type is service and the unique identifier is the cluster name and service name. Example: service/default/sample-webapp. Spot Fleet request - The resource type is spot-fleet-request and the unique identifier is the Spot Fleet request ID. Example: spot-fleet-request/sfr-73fbd2ce-aa30-494c-8788-1cee4EXAMPLE. EMR cluster - The resource type is instancegroup and the unique identifier is the cluster ID and instance group ID. Example: instancegroup/j-2EEZNYKUA1NTV/ig-1791Y4E1L8YI0. AppStream 2.0 fleet - The resource type is fleet and the unique identifier is the fleet name. Example: fleet/sample-fleet. DynamoDB table - The resource type is table and the unique identifier is the table name. Example: table/my-table. DynamoDB global secondary index - The resource type is index and the unique identifier is the index name. Example: table/my-table/index/my-table-index. Aurora DB cluster - The resource type is cluster and the unique identifier is the cluster name. Example: cluster:my-db-cluster. Amazon SageMaker endpoint variant - The resource type is variant and the unique identifier is the resource ID. Example: endpoint/my-end-point/variant/KMeansClustering. Custom resources are not supported with a resource type. This parameter must specify the OutputValue from the CloudFormation template stack used to access the resources. The unique identifier is defined by the service provider. More information is available in our GitHub repository. Amazon Comprehend document classification endpoint - The resource type and unique identifier are specified using the endpoint ARN. Example: arn:aws:comprehend:us-west-2:123456789012:document-classifier-endpoint/EXAMPLE.
+ * The identifier of the resource associated with the scheduled action. This string consists of the resource type and unique identifier. If you specify a scalable dimension, you must also specify a resource ID. ECS service - The resource type is service and the unique identifier is the cluster name and service name. Example: service/default/sample-webapp. Spot Fleet request - The resource type is spot-fleet-request and the unique identifier is the Spot Fleet request ID. Example: spot-fleet-request/sfr-73fbd2ce-aa30-494c-8788-1cee4EXAMPLE. EMR cluster - The resource type is instancegroup and the unique identifier is the cluster ID and instance group ID. Example: instancegroup/j-2EEZNYKUA1NTV/ig-1791Y4E1L8YI0. AppStream 2.0 fleet - The resource type is fleet and the unique identifier is the fleet name. Example: fleet/sample-fleet. DynamoDB table - The resource type is table and the unique identifier is the table name. Example: table/my-table. DynamoDB global secondary index - The resource type is index and the unique identifier is the index name. Example: table/my-table/index/my-table-index. Aurora DB cluster - The resource type is cluster and the unique identifier is the cluster name. Example: cluster:my-db-cluster. Amazon SageMaker endpoint variant - The resource type is variant and the unique identifier is the resource ID. Example: endpoint/my-end-point/variant/KMeansClustering. Custom resources are not supported with a resource type. This parameter must specify the OutputValue from the CloudFormation template stack used to access the resources. The unique identifier is defined by the service provider. More information is available in our GitHub repository. Amazon Comprehend document classification endpoint - The resource type and unique identifier are specified using the endpoint ARN. Example: arn:aws:comprehend:us-west-2:123456789012:document-classifier-endpoint/EXAMPLE. Lambda provisioned concurrency - The resource type is function and the unique identifier is the function name with a function version or alias name suffix that is not $LATEST. Example: function:my-function:prod or function:my-function:1.
*/
ResourceId?: ResourceIdMaxLen1600;
/**
- * The scalable dimension. This string consists of the service namespace, resource type, and scaling property. If you specify a scalable dimension, you must also specify a resource ID. ecs:service:DesiredCount - The desired task count of an ECS service. ec2:spot-fleet-request:TargetCapacity - The target capacity of a Spot Fleet request. elasticmapreduce:instancegroup:InstanceCount - The instance count of an EMR Instance Group. appstream:fleet:DesiredCapacity - The desired capacity of an AppStream 2.0 fleet. dynamodb:table:ReadCapacityUnits - The provisioned read capacity for a DynamoDB table. dynamodb:table:WriteCapacityUnits - The provisioned write capacity for a DynamoDB table. dynamodb:index:ReadCapacityUnits - The provisioned read capacity for a DynamoDB global secondary index. dynamodb:index:WriteCapacityUnits - The provisioned write capacity for a DynamoDB global secondary index. rds:cluster:ReadReplicaCount - The count of Aurora Replicas in an Aurora DB cluster. Available for Aurora MySQL-compatible edition and Aurora PostgreSQL-compatible edition. sagemaker:variant:DesiredInstanceCount - The number of EC2 instances for an Amazon SageMaker model endpoint variant. custom-resource:ResourceType:Property - The scalable dimension for a custom resource provided by your own application or service. comprehend:document-classifier-endpoint:DesiredInferenceUnits - The number of inference units for an Amazon Comprehend document classification endpoint.
+ * The scalable dimension. This string consists of the service namespace, resource type, and scaling property. If you specify a scalable dimension, you must also specify a resource ID. ecs:service:DesiredCount - The desired task count of an ECS service. ec2:spot-fleet-request:TargetCapacity - The target capacity of a Spot Fleet request. elasticmapreduce:instancegroup:InstanceCount - The instance count of an EMR Instance Group. appstream:fleet:DesiredCapacity - The desired capacity of an AppStream 2.0 fleet. dynamodb:table:ReadCapacityUnits - The provisioned read capacity for a DynamoDB table. dynamodb:table:WriteCapacityUnits - The provisioned write capacity for a DynamoDB table. dynamodb:index:ReadCapacityUnits - The provisioned read capacity for a DynamoDB global secondary index. dynamodb:index:WriteCapacityUnits - The provisioned write capacity for a DynamoDB global secondary index. rds:cluster:ReadReplicaCount - The count of Aurora Replicas in an Aurora DB cluster. Available for Aurora MySQL-compatible edition and Aurora PostgreSQL-compatible edition. sagemaker:variant:DesiredInstanceCount - The number of EC2 instances for an Amazon SageMaker model endpoint variant. custom-resource:ResourceType:Property - The scalable dimension for a custom resource provided by your own application or service. comprehend:document-classifier-endpoint:DesiredInferenceUnits - The number of inference units for an Amazon Comprehend document classification endpoint. lambda:function:ProvisionedConcurrency - The provisioned concurrency for a Lambda function.
*/
ScalableDimension?: ScalableDimension;
/**
@@ -340,7 +340,7 @@ declare namespace ApplicationAutoScaling {
export type MetricNamespace = string;
export type MetricScale = number;
export type MetricStatistic = "Average"|"Minimum"|"Maximum"|"SampleCount"|"Sum"|string;
- export type MetricType = "DynamoDBReadCapacityUtilization"|"DynamoDBWriteCapacityUtilization"|"ALBRequestCountPerTarget"|"RDSReaderAverageCPUUtilization"|"RDSReaderAverageDatabaseConnections"|"EC2SpotFleetRequestAverageCPUUtilization"|"EC2SpotFleetRequestAverageNetworkIn"|"EC2SpotFleetRequestAverageNetworkOut"|"SageMakerVariantInvocationsPerInstance"|"ECSServiceAverageCPUUtilization"|"ECSServiceAverageMemoryUtilization"|"AppStreamAverageCapacityUtilization"|"ComprehendInferenceUtilization"|string;
+ export type MetricType = "DynamoDBReadCapacityUtilization"|"DynamoDBWriteCapacityUtilization"|"ALBRequestCountPerTarget"|"RDSReaderAverageCPUUtilization"|"RDSReaderAverageDatabaseConnections"|"EC2SpotFleetRequestAverageCPUUtilization"|"EC2SpotFleetRequestAverageNetworkIn"|"EC2SpotFleetRequestAverageNetworkOut"|"SageMakerVariantInvocationsPerInstance"|"ECSServiceAverageCPUUtilization"|"ECSServiceAverageMemoryUtilization"|"AppStreamAverageCapacityUtilization"|"ComprehendInferenceUtilization"|"LambdaProvisionedConcurrencyUtilization"|string;
export type MetricUnit = string;
export type MinAdjustmentMagnitude = number;
export type PolicyName = string;
@@ -365,15 +365,15 @@ declare namespace ApplicationAutoScaling {
*/
ServiceNamespace: ServiceNamespace;
/**
- * The identifier of the resource associated with the scaling policy. This string consists of the resource type and unique identifier. ECS service - The resource type is service and the unique identifier is the cluster name and service name. Example: service/default/sample-webapp. Spot Fleet request - The resource type is spot-fleet-request and the unique identifier is the Spot Fleet request ID. Example: spot-fleet-request/sfr-73fbd2ce-aa30-494c-8788-1cee4EXAMPLE. EMR cluster - The resource type is instancegroup and the unique identifier is the cluster ID and instance group ID. Example: instancegroup/j-2EEZNYKUA1NTV/ig-1791Y4E1L8YI0. AppStream 2.0 fleet - The resource type is fleet and the unique identifier is the fleet name. Example: fleet/sample-fleet. DynamoDB table - The resource type is table and the unique identifier is the table name. Example: table/my-table. DynamoDB global secondary index - The resource type is index and the unique identifier is the index name. Example: table/my-table/index/my-table-index. Aurora DB cluster - The resource type is cluster and the unique identifier is the cluster name. Example: cluster:my-db-cluster. Amazon SageMaker endpoint variant - The resource type is variant and the unique identifier is the resource ID. Example: endpoint/my-end-point/variant/KMeansClustering. Custom resources are not supported with a resource type. This parameter must specify the OutputValue from the CloudFormation template stack used to access the resources. The unique identifier is defined by the service provider. More information is available in our GitHub repository. Amazon Comprehend document classification endpoint - The resource type and unique identifier are specified using the endpoint ARN. Example: arn:aws:comprehend:us-west-2:123456789012:document-classifier-endpoint/EXAMPLE.
+ * The identifier of the resource associated with the scaling policy. This string consists of the resource type and unique identifier. ECS service - The resource type is service and the unique identifier is the cluster name and service name. Example: service/default/sample-webapp. Spot Fleet request - The resource type is spot-fleet-request and the unique identifier is the Spot Fleet request ID. Example: spot-fleet-request/sfr-73fbd2ce-aa30-494c-8788-1cee4EXAMPLE. EMR cluster - The resource type is instancegroup and the unique identifier is the cluster ID and instance group ID. Example: instancegroup/j-2EEZNYKUA1NTV/ig-1791Y4E1L8YI0. AppStream 2.0 fleet - The resource type is fleet and the unique identifier is the fleet name. Example: fleet/sample-fleet. DynamoDB table - The resource type is table and the unique identifier is the table name. Example: table/my-table. DynamoDB global secondary index - The resource type is index and the unique identifier is the index name. Example: table/my-table/index/my-table-index. Aurora DB cluster - The resource type is cluster and the unique identifier is the cluster name. Example: cluster:my-db-cluster. Amazon SageMaker endpoint variant - The resource type is variant and the unique identifier is the resource ID. Example: endpoint/my-end-point/variant/KMeansClustering. Custom resources are not supported with a resource type. This parameter must specify the OutputValue from the CloudFormation template stack used to access the resources. The unique identifier is defined by the service provider. More information is available in our GitHub repository. Amazon Comprehend document classification endpoint - The resource type and unique identifier are specified using the endpoint ARN. Example: arn:aws:comprehend:us-west-2:123456789012:document-classifier-endpoint/EXAMPLE. Lambda provisioned concurrency - The resource type is function and the unique identifier is the function name with a function version or alias name suffix that is not $LATEST. Example: function:my-function:prod or function:my-function:1.
*/
ResourceId: ResourceIdMaxLen1600;
/**
- * The scalable dimension. This string consists of the service namespace, resource type, and scaling property. ecs:service:DesiredCount - The desired task count of an ECS service. ec2:spot-fleet-request:TargetCapacity - The target capacity of a Spot Fleet request. elasticmapreduce:instancegroup:InstanceCount - The instance count of an EMR Instance Group. appstream:fleet:DesiredCapacity - The desired capacity of an AppStream 2.0 fleet. dynamodb:table:ReadCapacityUnits - The provisioned read capacity for a DynamoDB table. dynamodb:table:WriteCapacityUnits - The provisioned write capacity for a DynamoDB table. dynamodb:index:ReadCapacityUnits - The provisioned read capacity for a DynamoDB global secondary index. dynamodb:index:WriteCapacityUnits - The provisioned write capacity for a DynamoDB global secondary index. rds:cluster:ReadReplicaCount - The count of Aurora Replicas in an Aurora DB cluster. Available for Aurora MySQL-compatible edition and Aurora PostgreSQL-compatible edition. sagemaker:variant:DesiredInstanceCount - The number of EC2 instances for an Amazon SageMaker model endpoint variant. custom-resource:ResourceType:Property - The scalable dimension for a custom resource provided by your own application or service. comprehend:document-classifier-endpoint:DesiredInferenceUnits - The number of inference units for an Amazon Comprehend document classification endpoint.
+ * The scalable dimension. This string consists of the service namespace, resource type, and scaling property. ecs:service:DesiredCount - The desired task count of an ECS service. ec2:spot-fleet-request:TargetCapacity - The target capacity of a Spot Fleet request. elasticmapreduce:instancegroup:InstanceCount - The instance count of an EMR Instance Group. appstream:fleet:DesiredCapacity - The desired capacity of an AppStream 2.0 fleet. dynamodb:table:ReadCapacityUnits - The provisioned read capacity for a DynamoDB table. dynamodb:table:WriteCapacityUnits - The provisioned write capacity for a DynamoDB table. dynamodb:index:ReadCapacityUnits - The provisioned read capacity for a DynamoDB global secondary index. dynamodb:index:WriteCapacityUnits - The provisioned write capacity for a DynamoDB global secondary index. rds:cluster:ReadReplicaCount - The count of Aurora Replicas in an Aurora DB cluster. Available for Aurora MySQL-compatible edition and Aurora PostgreSQL-compatible edition. sagemaker:variant:DesiredInstanceCount - The number of EC2 instances for an Amazon SageMaker model endpoint variant. custom-resource:ResourceType:Property - The scalable dimension for a custom resource provided by your own application or service. comprehend:document-classifier-endpoint:DesiredInferenceUnits - The number of inference units for an Amazon Comprehend document classification endpoint. lambda:function:ProvisionedConcurrency - The provisioned concurrency for a Lambda function.
*/
ScalableDimension: ScalableDimension;
/**
- * The policy type. This parameter is required if you are creating a scaling policy. The following policy types are supported: TargetTrackingScaling—Not supported for Amazon EMR StepScaling—Not supported for DynamoDB or Amazon Comprehend For more information, see Target Tracking Scaling Policies and Step Scaling Policies in the Application Auto Scaling User Guide.
+ * The policy type. This parameter is required if you are creating a scaling policy. The following policy types are supported: TargetTrackingScaling—Not supported for Amazon EMR StepScaling—Not supported for DynamoDB, Amazon Comprehend, or AWS Lambda For more information, see Target Tracking Scaling Policies and Step Scaling Policies in the Application Auto Scaling User Guide.
*/
PolicyType?: PolicyType;
/**
@@ -409,11 +409,11 @@ declare namespace ApplicationAutoScaling {
*/
ScheduledActionName: ScheduledActionName;
/**
- * The identifier of the resource associated with the scheduled action. This string consists of the resource type and unique identifier. ECS service - The resource type is service and the unique identifier is the cluster name and service name. Example: service/default/sample-webapp. Spot Fleet request - The resource type is spot-fleet-request and the unique identifier is the Spot Fleet request ID. Example: spot-fleet-request/sfr-73fbd2ce-aa30-494c-8788-1cee4EXAMPLE. EMR cluster - The resource type is instancegroup and the unique identifier is the cluster ID and instance group ID. Example: instancegroup/j-2EEZNYKUA1NTV/ig-1791Y4E1L8YI0. AppStream 2.0 fleet - The resource type is fleet and the unique identifier is the fleet name. Example: fleet/sample-fleet. DynamoDB table - The resource type is table and the unique identifier is the table name. Example: table/my-table. DynamoDB global secondary index - The resource type is index and the unique identifier is the index name. Example: table/my-table/index/my-table-index. Aurora DB cluster - The resource type is cluster and the unique identifier is the cluster name. Example: cluster:my-db-cluster. Amazon SageMaker endpoint variant - The resource type is variant and the unique identifier is the resource ID. Example: endpoint/my-end-point/variant/KMeansClustering. Custom resources are not supported with a resource type. This parameter must specify the OutputValue from the CloudFormation template stack used to access the resources. The unique identifier is defined by the service provider. More information is available in our GitHub repository. Amazon Comprehend document classification endpoint - The resource type and unique identifier are specified using the endpoint ARN. Example: arn:aws:comprehend:us-west-2:123456789012:document-classifier-endpoint/EXAMPLE.
+ * The identifier of the resource associated with the scheduled action. This string consists of the resource type and unique identifier. ECS service - The resource type is service and the unique identifier is the cluster name and service name. Example: service/default/sample-webapp. Spot Fleet request - The resource type is spot-fleet-request and the unique identifier is the Spot Fleet request ID. Example: spot-fleet-request/sfr-73fbd2ce-aa30-494c-8788-1cee4EXAMPLE. EMR cluster - The resource type is instancegroup and the unique identifier is the cluster ID and instance group ID. Example: instancegroup/j-2EEZNYKUA1NTV/ig-1791Y4E1L8YI0. AppStream 2.0 fleet - The resource type is fleet and the unique identifier is the fleet name. Example: fleet/sample-fleet. DynamoDB table - The resource type is table and the unique identifier is the table name. Example: table/my-table. DynamoDB global secondary index - The resource type is index and the unique identifier is the index name. Example: table/my-table/index/my-table-index. Aurora DB cluster - The resource type is cluster and the unique identifier is the cluster name. Example: cluster:my-db-cluster. Amazon SageMaker endpoint variant - The resource type is variant and the unique identifier is the resource ID. Example: endpoint/my-end-point/variant/KMeansClustering. Custom resources are not supported with a resource type. This parameter must specify the OutputValue from the CloudFormation template stack used to access the resources. The unique identifier is defined by the service provider. More information is available in our GitHub repository. Amazon Comprehend document classification endpoint - The resource type and unique identifier are specified using the endpoint ARN. Example: arn:aws:comprehend:us-west-2:123456789012:document-classifier-endpoint/EXAMPLE. Lambda provisioned concurrency - The resource type is function and the unique identifier is the function name with a function version or alias name suffix that is not $LATEST. Example: function:my-function:prod or function:my-function:1.
*/
ResourceId: ResourceIdMaxLen1600;
/**
- * The scalable dimension. This string consists of the service namespace, resource type, and scaling property. ecs:service:DesiredCount - The desired task count of an ECS service. ec2:spot-fleet-request:TargetCapacity - The target capacity of a Spot Fleet request. elasticmapreduce:instancegroup:InstanceCount - The instance count of an EMR Instance Group. appstream:fleet:DesiredCapacity - The desired capacity of an AppStream 2.0 fleet. dynamodb:table:ReadCapacityUnits - The provisioned read capacity for a DynamoDB table. dynamodb:table:WriteCapacityUnits - The provisioned write capacity for a DynamoDB table. dynamodb:index:ReadCapacityUnits - The provisioned read capacity for a DynamoDB global secondary index. dynamodb:index:WriteCapacityUnits - The provisioned write capacity for a DynamoDB global secondary index. rds:cluster:ReadReplicaCount - The count of Aurora Replicas in an Aurora DB cluster. Available for Aurora MySQL-compatible edition and Aurora PostgreSQL-compatible edition. sagemaker:variant:DesiredInstanceCount - The number of EC2 instances for an Amazon SageMaker model endpoint variant. custom-resource:ResourceType:Property - The scalable dimension for a custom resource provided by your own application or service. comprehend:document-classifier-endpoint:DesiredInferenceUnits - The number of inference units for an Amazon Comprehend document classification endpoint.
+ * The scalable dimension. This string consists of the service namespace, resource type, and scaling property. ecs:service:DesiredCount - The desired task count of an ECS service. ec2:spot-fleet-request:TargetCapacity - The target capacity of a Spot Fleet request. elasticmapreduce:instancegroup:InstanceCount - The instance count of an EMR Instance Group. appstream:fleet:DesiredCapacity - The desired capacity of an AppStream 2.0 fleet. dynamodb:table:ReadCapacityUnits - The provisioned read capacity for a DynamoDB table. dynamodb:table:WriteCapacityUnits - The provisioned write capacity for a DynamoDB table. dynamodb:index:ReadCapacityUnits - The provisioned read capacity for a DynamoDB global secondary index. dynamodb:index:WriteCapacityUnits - The provisioned write capacity for a DynamoDB global secondary index. rds:cluster:ReadReplicaCount - The count of Aurora Replicas in an Aurora DB cluster. Available for Aurora MySQL-compatible edition and Aurora PostgreSQL-compatible edition. sagemaker:variant:DesiredInstanceCount - The number of EC2 instances for an Amazon SageMaker model endpoint variant. custom-resource:ResourceType:Property - The scalable dimension for a custom resource provided by your own application or service. comprehend:document-classifier-endpoint:DesiredInferenceUnits - The number of inference units for an Amazon Comprehend document classification endpoint. lambda:function:ProvisionedConcurrency - The provisioned concurrency for a Lambda function.
*/
ScalableDimension: ScalableDimension;
/**
@@ -437,11 +437,11 @@ declare namespace ApplicationAutoScaling {
*/
ServiceNamespace: ServiceNamespace;
/**
- * The identifier of the resource that is associated with the scalable target. This string consists of the resource type and unique identifier. ECS service - The resource type is service and the unique identifier is the cluster name and service name. Example: service/default/sample-webapp. Spot Fleet request - The resource type is spot-fleet-request and the unique identifier is the Spot Fleet request ID. Example: spot-fleet-request/sfr-73fbd2ce-aa30-494c-8788-1cee4EXAMPLE. EMR cluster - The resource type is instancegroup and the unique identifier is the cluster ID and instance group ID. Example: instancegroup/j-2EEZNYKUA1NTV/ig-1791Y4E1L8YI0. AppStream 2.0 fleet - The resource type is fleet and the unique identifier is the fleet name. Example: fleet/sample-fleet. DynamoDB table - The resource type is table and the unique identifier is the table name. Example: table/my-table. DynamoDB global secondary index - The resource type is index and the unique identifier is the index name. Example: table/my-table/index/my-table-index. Aurora DB cluster - The resource type is cluster and the unique identifier is the cluster name. Example: cluster:my-db-cluster. Amazon SageMaker endpoint variant - The resource type is variant and the unique identifier is the resource ID. Example: endpoint/my-end-point/variant/KMeansClustering. Custom resources are not supported with a resource type. This parameter must specify the OutputValue from the CloudFormation template stack used to access the resources. The unique identifier is defined by the service provider. More information is available in our GitHub repository. Amazon Comprehend document classification endpoint - The resource type and unique identifier are specified using the endpoint ARN. Example: arn:aws:comprehend:us-west-2:123456789012:document-classifier-endpoint/EXAMPLE.
+ * The identifier of the resource that is associated with the scalable target. This string consists of the resource type and unique identifier. ECS service - The resource type is service and the unique identifier is the cluster name and service name. Example: service/default/sample-webapp. Spot Fleet request - The resource type is spot-fleet-request and the unique identifier is the Spot Fleet request ID. Example: spot-fleet-request/sfr-73fbd2ce-aa30-494c-8788-1cee4EXAMPLE. EMR cluster - The resource type is instancegroup and the unique identifier is the cluster ID and instance group ID. Example: instancegroup/j-2EEZNYKUA1NTV/ig-1791Y4E1L8YI0. AppStream 2.0 fleet - The resource type is fleet and the unique identifier is the fleet name. Example: fleet/sample-fleet. DynamoDB table - The resource type is table and the unique identifier is the table name. Example: table/my-table. DynamoDB global secondary index - The resource type is index and the unique identifier is the index name. Example: table/my-table/index/my-table-index. Aurora DB cluster - The resource type is cluster and the unique identifier is the cluster name. Example: cluster:my-db-cluster. Amazon SageMaker endpoint variant - The resource type is variant and the unique identifier is the resource ID. Example: endpoint/my-end-point/variant/KMeansClustering. Custom resources are not supported with a resource type. This parameter must specify the OutputValue from the CloudFormation template stack used to access the resources. The unique identifier is defined by the service provider. More information is available in our GitHub repository. Amazon Comprehend document classification endpoint - The resource type and unique identifier are specified using the endpoint ARN. Example: arn:aws:comprehend:us-west-2:123456789012:document-classifier-endpoint/EXAMPLE. Lambda provisioned concurrency - The resource type is function and the unique identifier is the function name with a function version or alias name suffix that is not $LATEST. Example: function:my-function:prod or function:my-function:1.
*/
ResourceId: ResourceIdMaxLen1600;
/**
- * The scalable dimension associated with the scalable target. This string consists of the service namespace, resource type, and scaling property. ecs:service:DesiredCount - The desired task count of an ECS service. ec2:spot-fleet-request:TargetCapacity - The target capacity of a Spot Fleet request. elasticmapreduce:instancegroup:InstanceCount - The instance count of an EMR Instance Group. appstream:fleet:DesiredCapacity - The desired capacity of an AppStream 2.0 fleet. dynamodb:table:ReadCapacityUnits - The provisioned read capacity for a DynamoDB table. dynamodb:table:WriteCapacityUnits - The provisioned write capacity for a DynamoDB table. dynamodb:index:ReadCapacityUnits - The provisioned read capacity for a DynamoDB global secondary index. dynamodb:index:WriteCapacityUnits - The provisioned write capacity for a DynamoDB global secondary index. rds:cluster:ReadReplicaCount - The count of Aurora Replicas in an Aurora DB cluster. Available for Aurora MySQL-compatible edition and Aurora PostgreSQL-compatible edition. sagemaker:variant:DesiredInstanceCount - The number of EC2 instances for an Amazon SageMaker model endpoint variant. custom-resource:ResourceType:Property - The scalable dimension for a custom resource provided by your own application or service. comprehend:document-classifier-endpoint:DesiredInferenceUnits - The number of inference units for an Amazon Comprehend document classification endpoint.
+ * The scalable dimension associated with the scalable target. This string consists of the service namespace, resource type, and scaling property. ecs:service:DesiredCount - The desired task count of an ECS service. ec2:spot-fleet-request:TargetCapacity - The target capacity of a Spot Fleet request. elasticmapreduce:instancegroup:InstanceCount - The instance count of an EMR Instance Group. appstream:fleet:DesiredCapacity - The desired capacity of an AppStream 2.0 fleet. dynamodb:table:ReadCapacityUnits - The provisioned read capacity for a DynamoDB table. dynamodb:table:WriteCapacityUnits - The provisioned write capacity for a DynamoDB table. dynamodb:index:ReadCapacityUnits - The provisioned read capacity for a DynamoDB global secondary index. dynamodb:index:WriteCapacityUnits - The provisioned write capacity for a DynamoDB global secondary index. rds:cluster:ReadReplicaCount - The count of Aurora Replicas in an Aurora DB cluster. Available for Aurora MySQL-compatible edition and Aurora PostgreSQL-compatible edition. sagemaker:variant:DesiredInstanceCount - The number of EC2 instances for an Amazon SageMaker model endpoint variant. custom-resource:ResourceType:Property - The scalable dimension for a custom resource provided by your own application or service. comprehend:document-classifier-endpoint:DesiredInferenceUnits - The number of inference units for an Amazon Comprehend document classification endpoint. lambda:function:ProvisionedConcurrency - The provisioned concurrency for a Lambda function.
*/
ScalableDimension: ScalableDimension;
/**
@@ -468,18 +468,18 @@ declare namespace ApplicationAutoScaling {
export type ResourceIdMaxLen1600 = string;
export type ResourceIdsMaxLen1600 = ResourceIdMaxLen1600[];
export type ResourceLabel = string;
- export type ScalableDimension = "ecs:service:DesiredCount"|"ec2:spot-fleet-request:TargetCapacity"|"elasticmapreduce:instancegroup:InstanceCount"|"appstream:fleet:DesiredCapacity"|"dynamodb:table:ReadCapacityUnits"|"dynamodb:table:WriteCapacityUnits"|"dynamodb:index:ReadCapacityUnits"|"dynamodb:index:WriteCapacityUnits"|"rds:cluster:ReadReplicaCount"|"sagemaker:variant:DesiredInstanceCount"|"custom-resource:ResourceType:Property"|"comprehend:document-classifier-endpoint:DesiredInferenceUnits"|string;
+ export type ScalableDimension = "ecs:service:DesiredCount"|"ec2:spot-fleet-request:TargetCapacity"|"elasticmapreduce:instancegroup:InstanceCount"|"appstream:fleet:DesiredCapacity"|"dynamodb:table:ReadCapacityUnits"|"dynamodb:table:WriteCapacityUnits"|"dynamodb:index:ReadCapacityUnits"|"dynamodb:index:WriteCapacityUnits"|"rds:cluster:ReadReplicaCount"|"sagemaker:variant:DesiredInstanceCount"|"custom-resource:ResourceType:Property"|"comprehend:document-classifier-endpoint:DesiredInferenceUnits"|"lambda:function:ProvisionedConcurrency"|string;
export interface ScalableTarget {
/**
* The namespace of the AWS service that provides the resource or custom-resource for a resource provided by your own application or service. For more information, see AWS Service Namespaces in the Amazon Web Services General Reference.
*/
ServiceNamespace: ServiceNamespace;
/**
- * The identifier of the resource associated with the scalable target. This string consists of the resource type and unique identifier. ECS service - The resource type is service and the unique identifier is the cluster name and service name. Example: service/default/sample-webapp. Spot Fleet request - The resource type is spot-fleet-request and the unique identifier is the Spot Fleet request ID. Example: spot-fleet-request/sfr-73fbd2ce-aa30-494c-8788-1cee4EXAMPLE. EMR cluster - The resource type is instancegroup and the unique identifier is the cluster ID and instance group ID. Example: instancegroup/j-2EEZNYKUA1NTV/ig-1791Y4E1L8YI0. AppStream 2.0 fleet - The resource type is fleet and the unique identifier is the fleet name. Example: fleet/sample-fleet. DynamoDB table - The resource type is table and the unique identifier is the table name. Example: table/my-table. DynamoDB global secondary index - The resource type is index and the unique identifier is the index name. Example: table/my-table/index/my-table-index. Aurora DB cluster - The resource type is cluster and the unique identifier is the cluster name. Example: cluster:my-db-cluster. Amazon SageMaker endpoint variant - The resource type is variant and the unique identifier is the resource ID. Example: endpoint/my-end-point/variant/KMeansClustering. Custom resources are not supported with a resource type. This parameter must specify the OutputValue from the CloudFormation template stack used to access the resources. The unique identifier is defined by the service provider. More information is available in our GitHub repository. Amazon Comprehend document classification endpoint - The resource type and unique identifier are specified using the endpoint ARN. Example: arn:aws:comprehend:us-west-2:123456789012:document-classifier-endpoint/EXAMPLE.
+ * The identifier of the resource associated with the scalable target. This string consists of the resource type and unique identifier. ECS service - The resource type is service and the unique identifier is the cluster name and service name. Example: service/default/sample-webapp. Spot Fleet request - The resource type is spot-fleet-request and the unique identifier is the Spot Fleet request ID. Example: spot-fleet-request/sfr-73fbd2ce-aa30-494c-8788-1cee4EXAMPLE. EMR cluster - The resource type is instancegroup and the unique identifier is the cluster ID and instance group ID. Example: instancegroup/j-2EEZNYKUA1NTV/ig-1791Y4E1L8YI0. AppStream 2.0 fleet - The resource type is fleet and the unique identifier is the fleet name. Example: fleet/sample-fleet. DynamoDB table - The resource type is table and the unique identifier is the table name. Example: table/my-table. DynamoDB global secondary index - The resource type is index and the unique identifier is the index name. Example: table/my-table/index/my-table-index. Aurora DB cluster - The resource type is cluster and the unique identifier is the cluster name. Example: cluster:my-db-cluster. Amazon SageMaker endpoint variant - The resource type is variant and the unique identifier is the resource ID. Example: endpoint/my-end-point/variant/KMeansClustering. Custom resources are not supported with a resource type. This parameter must specify the OutputValue from the CloudFormation template stack used to access the resources. The unique identifier is defined by the service provider. More information is available in our GitHub repository. Amazon Comprehend document classification endpoint - The resource type and unique identifier are specified using the endpoint ARN. Example: arn:aws:comprehend:us-west-2:123456789012:document-classifier-endpoint/EXAMPLE. Lambda provisioned concurrency - The resource type is function and the unique identifier is the function name with a function version or alias name suffix that is not $LATEST. Example: function:my-function:prod or function:my-function:1.
*/
ResourceId: ResourceIdMaxLen1600;
/**
- * The scalable dimension associated with the scalable target. This string consists of the service namespace, resource type, and scaling property. ecs:service:DesiredCount - The desired task count of an ECS service. ec2:spot-fleet-request:TargetCapacity - The target capacity of a Spot Fleet request. elasticmapreduce:instancegroup:InstanceCount - The instance count of an EMR Instance Group. appstream:fleet:DesiredCapacity - The desired capacity of an AppStream 2.0 fleet. dynamodb:table:ReadCapacityUnits - The provisioned read capacity for a DynamoDB table. dynamodb:table:WriteCapacityUnits - The provisioned write capacity for a DynamoDB table. dynamodb:index:ReadCapacityUnits - The provisioned read capacity for a DynamoDB global secondary index. dynamodb:index:WriteCapacityUnits - The provisioned write capacity for a DynamoDB global secondary index. rds:cluster:ReadReplicaCount - The count of Aurora Replicas in an Aurora DB cluster. Available for Aurora MySQL-compatible edition and Aurora PostgreSQL-compatible edition. sagemaker:variant:DesiredInstanceCount - The number of EC2 instances for an Amazon SageMaker model endpoint variant. custom-resource:ResourceType:Property - The scalable dimension for a custom resource provided by your own application or service. comprehend:document-classifier-endpoint:DesiredInferenceUnits - The number of inference units for an Amazon Comprehend document classification endpoint.
+ * The scalable dimension associated with the scalable target. This string consists of the service namespace, resource type, and scaling property. ecs:service:DesiredCount - The desired task count of an ECS service. ec2:spot-fleet-request:TargetCapacity - The target capacity of a Spot Fleet request. elasticmapreduce:instancegroup:InstanceCount - The instance count of an EMR Instance Group. appstream:fleet:DesiredCapacity - The desired capacity of an AppStream 2.0 fleet. dynamodb:table:ReadCapacityUnits - The provisioned read capacity for a DynamoDB table. dynamodb:table:WriteCapacityUnits - The provisioned write capacity for a DynamoDB table. dynamodb:index:ReadCapacityUnits - The provisioned read capacity for a DynamoDB global secondary index. dynamodb:index:WriteCapacityUnits - The provisioned write capacity for a DynamoDB global secondary index. rds:cluster:ReadReplicaCount - The count of Aurora Replicas in an Aurora DB cluster. Available for Aurora MySQL-compatible edition and Aurora PostgreSQL-compatible edition. sagemaker:variant:DesiredInstanceCount - The number of EC2 instances for an Amazon SageMaker model endpoint variant. custom-resource:ResourceType:Property - The scalable dimension for a custom resource provided by your own application or service. comprehend:document-classifier-endpoint:DesiredInferenceUnits - The number of inference units for an Amazon Comprehend document classification endpoint. lambda:function:ProvisionedConcurrency - The provisioned concurrency for a Lambda function.
*/
ScalableDimension: ScalableDimension;
/**
@@ -522,11 +522,11 @@ declare namespace ApplicationAutoScaling {
*/
ServiceNamespace: ServiceNamespace;
/**
- * The identifier of the resource associated with the scaling activity. This string consists of the resource type and unique identifier. ECS service - The resource type is service and the unique identifier is the cluster name and service name. Example: service/default/sample-webapp. Spot Fleet request - The resource type is spot-fleet-request and the unique identifier is the Spot Fleet request ID. Example: spot-fleet-request/sfr-73fbd2ce-aa30-494c-8788-1cee4EXAMPLE. EMR cluster - The resource type is instancegroup and the unique identifier is the cluster ID and instance group ID. Example: instancegroup/j-2EEZNYKUA1NTV/ig-1791Y4E1L8YI0. AppStream 2.0 fleet - The resource type is fleet and the unique identifier is the fleet name. Example: fleet/sample-fleet. DynamoDB table - The resource type is table and the unique identifier is the table name. Example: table/my-table. DynamoDB global secondary index - The resource type is index and the unique identifier is the index name. Example: table/my-table/index/my-table-index. Aurora DB cluster - The resource type is cluster and the unique identifier is the cluster name. Example: cluster:my-db-cluster. Amazon SageMaker endpoint variant - The resource type is variant and the unique identifier is the resource ID. Example: endpoint/my-end-point/variant/KMeansClustering. Custom resources are not supported with a resource type. This parameter must specify the OutputValue from the CloudFormation template stack used to access the resources. The unique identifier is defined by the service provider. More information is available in our GitHub repository. Amazon Comprehend document classification endpoint - The resource type and unique identifier are specified using the endpoint ARN. Example: arn:aws:comprehend:us-west-2:123456789012:document-classifier-endpoint/EXAMPLE.
+ * The identifier of the resource associated with the scaling activity. This string consists of the resource type and unique identifier. ECS service - The resource type is service and the unique identifier is the cluster name and service name. Example: service/default/sample-webapp. Spot Fleet request - The resource type is spot-fleet-request and the unique identifier is the Spot Fleet request ID. Example: spot-fleet-request/sfr-73fbd2ce-aa30-494c-8788-1cee4EXAMPLE. EMR cluster - The resource type is instancegroup and the unique identifier is the cluster ID and instance group ID. Example: instancegroup/j-2EEZNYKUA1NTV/ig-1791Y4E1L8YI0. AppStream 2.0 fleet - The resource type is fleet and the unique identifier is the fleet name. Example: fleet/sample-fleet. DynamoDB table - The resource type is table and the unique identifier is the table name. Example: table/my-table. DynamoDB global secondary index - The resource type is index and the unique identifier is the index name. Example: table/my-table/index/my-table-index. Aurora DB cluster - The resource type is cluster and the unique identifier is the cluster name. Example: cluster:my-db-cluster. Amazon SageMaker endpoint variant - The resource type is variant and the unique identifier is the resource ID. Example: endpoint/my-end-point/variant/KMeansClustering. Custom resources are not supported with a resource type. This parameter must specify the OutputValue from the CloudFormation template stack used to access the resources. The unique identifier is defined by the service provider. More information is available in our GitHub repository. Amazon Comprehend document classification endpoint - The resource type and unique identifier are specified using the endpoint ARN. Example: arn:aws:comprehend:us-west-2:123456789012:document-classifier-endpoint/EXAMPLE. Lambda provisioned concurrency - The resource type is function and the unique identifier is the function name with a function version or alias name suffix that is not $LATEST. Example: function:my-function:prod or function:my-function:1.
*/
ResourceId: ResourceIdMaxLen1600;
/**
- * The scalable dimension. This string consists of the service namespace, resource type, and scaling property. ecs:service:DesiredCount - The desired task count of an ECS service. ec2:spot-fleet-request:TargetCapacity - The target capacity of a Spot Fleet request. elasticmapreduce:instancegroup:InstanceCount - The instance count of an EMR Instance Group. appstream:fleet:DesiredCapacity - The desired capacity of an AppStream 2.0 fleet. dynamodb:table:ReadCapacityUnits - The provisioned read capacity for a DynamoDB table. dynamodb:table:WriteCapacityUnits - The provisioned write capacity for a DynamoDB table. dynamodb:index:ReadCapacityUnits - The provisioned read capacity for a DynamoDB global secondary index. dynamodb:index:WriteCapacityUnits - The provisioned write capacity for a DynamoDB global secondary index. rds:cluster:ReadReplicaCount - The count of Aurora Replicas in an Aurora DB cluster. Available for Aurora MySQL-compatible edition and Aurora PostgreSQL-compatible edition. sagemaker:variant:DesiredInstanceCount - The number of EC2 instances for an Amazon SageMaker model endpoint variant. custom-resource:ResourceType:Property - The scalable dimension for a custom resource provided by your own application or service. comprehend:document-classifier-endpoint:DesiredInferenceUnits - The number of inference units for an Amazon Comprehend document classification endpoint.
+ * The scalable dimension. This string consists of the service namespace, resource type, and scaling property. ecs:service:DesiredCount - The desired task count of an ECS service. ec2:spot-fleet-request:TargetCapacity - The target capacity of a Spot Fleet request. elasticmapreduce:instancegroup:InstanceCount - The instance count of an EMR Instance Group. appstream:fleet:DesiredCapacity - The desired capacity of an AppStream 2.0 fleet. dynamodb:table:ReadCapacityUnits - The provisioned read capacity for a DynamoDB table. dynamodb:table:WriteCapacityUnits - The provisioned write capacity for a DynamoDB table. dynamodb:index:ReadCapacityUnits - The provisioned read capacity for a DynamoDB global secondary index. dynamodb:index:WriteCapacityUnits - The provisioned write capacity for a DynamoDB global secondary index. rds:cluster:ReadReplicaCount - The count of Aurora Replicas in an Aurora DB cluster. Available for Aurora MySQL-compatible edition and Aurora PostgreSQL-compatible edition. sagemaker:variant:DesiredInstanceCount - The number of EC2 instances for an Amazon SageMaker model endpoint variant. custom-resource:ResourceType:Property - The scalable dimension for a custom resource provided by your own application or service. comprehend:document-classifier-endpoint:DesiredInferenceUnits - The number of inference units for an Amazon Comprehend document classification endpoint. lambda:function:ProvisionedConcurrency - The provisioned concurrency for a Lambda function.
*/
ScalableDimension: ScalableDimension;
/**
@@ -575,11 +575,11 @@ declare namespace ApplicationAutoScaling {
*/
ServiceNamespace: ServiceNamespace;
/**
- * The identifier of the resource associated with the scaling policy. This string consists of the resource type and unique identifier. ECS service - The resource type is service and the unique identifier is the cluster name and service name. Example: service/default/sample-webapp. Spot Fleet request - The resource type is spot-fleet-request and the unique identifier is the Spot Fleet request ID. Example: spot-fleet-request/sfr-73fbd2ce-aa30-494c-8788-1cee4EXAMPLE. EMR cluster - The resource type is instancegroup and the unique identifier is the cluster ID and instance group ID. Example: instancegroup/j-2EEZNYKUA1NTV/ig-1791Y4E1L8YI0. AppStream 2.0 fleet - The resource type is fleet and the unique identifier is the fleet name. Example: fleet/sample-fleet. DynamoDB table - The resource type is table and the unique identifier is the table name. Example: table/my-table. DynamoDB global secondary index - The resource type is index and the unique identifier is the index name. Example: table/my-table/index/my-table-index. Aurora DB cluster - The resource type is cluster and the unique identifier is the cluster name. Example: cluster:my-db-cluster. Amazon SageMaker endpoint variant - The resource type is variant and the unique identifier is the resource ID. Example: endpoint/my-end-point/variant/KMeansClustering. Custom resources are not supported with a resource type. This parameter must specify the OutputValue from the CloudFormation template stack used to access the resources. The unique identifier is defined by the service provider. More information is available in our GitHub repository. Amazon Comprehend document classification endpoint - The resource type and unique identifier are specified using the endpoint ARN. Example: arn:aws:comprehend:us-west-2:123456789012:document-classifier-endpoint/EXAMPLE.
+ * The identifier of the resource associated with the scaling policy. This string consists of the resource type and unique identifier. ECS service - The resource type is service and the unique identifier is the cluster name and service name. Example: service/default/sample-webapp. Spot Fleet request - The resource type is spot-fleet-request and the unique identifier is the Spot Fleet request ID. Example: spot-fleet-request/sfr-73fbd2ce-aa30-494c-8788-1cee4EXAMPLE. EMR cluster - The resource type is instancegroup and the unique identifier is the cluster ID and instance group ID. Example: instancegroup/j-2EEZNYKUA1NTV/ig-1791Y4E1L8YI0. AppStream 2.0 fleet - The resource type is fleet and the unique identifier is the fleet name. Example: fleet/sample-fleet. DynamoDB table - The resource type is table and the unique identifier is the table name. Example: table/my-table. DynamoDB global secondary index - The resource type is index and the unique identifier is the index name. Example: table/my-table/index/my-table-index. Aurora DB cluster - The resource type is cluster and the unique identifier is the cluster name. Example: cluster:my-db-cluster. Amazon SageMaker endpoint variant - The resource type is variant and the unique identifier is the resource ID. Example: endpoint/my-end-point/variant/KMeansClustering. Custom resources are not supported with a resource type. This parameter must specify the OutputValue from the CloudFormation template stack used to access the resources. The unique identifier is defined by the service provider. More information is available in our GitHub repository. Amazon Comprehend document classification endpoint - The resource type and unique identifier are specified using the endpoint ARN. Example: arn:aws:comprehend:us-west-2:123456789012:document-classifier-endpoint/EXAMPLE. Lambda provisioned concurrency - The resource type is function and the unique identifier is the function name with a function version or alias name suffix that is not $LATEST. Example: function:my-function:prod or function:my-function:1.
*/
ResourceId: ResourceIdMaxLen1600;
/**
- * The scalable dimension. This string consists of the service namespace, resource type, and scaling property. ecs:service:DesiredCount - The desired task count of an ECS service. ec2:spot-fleet-request:TargetCapacity - The target capacity of a Spot Fleet request. elasticmapreduce:instancegroup:InstanceCount - The instance count of an EMR Instance Group. appstream:fleet:DesiredCapacity - The desired capacity of an AppStream 2.0 fleet. dynamodb:table:ReadCapacityUnits - The provisioned read capacity for a DynamoDB table. dynamodb:table:WriteCapacityUnits - The provisioned write capacity for a DynamoDB table. dynamodb:index:ReadCapacityUnits - The provisioned read capacity for a DynamoDB global secondary index. dynamodb:index:WriteCapacityUnits - The provisioned write capacity for a DynamoDB global secondary index. rds:cluster:ReadReplicaCount - The count of Aurora Replicas in an Aurora DB cluster. Available for Aurora MySQL-compatible edition and Aurora PostgreSQL-compatible edition. sagemaker:variant:DesiredInstanceCount - The number of EC2 instances for an Amazon SageMaker model endpoint variant. custom-resource:ResourceType:Property - The scalable dimension for a custom resource provided by your own application or service. comprehend:document-classifier-endpoint:DesiredInferenceUnits - The number of inference units for an Amazon Comprehend document classification endpoint.
+ * The scalable dimension. This string consists of the service namespace, resource type, and scaling property. ecs:service:DesiredCount - The desired task count of an ECS service. ec2:spot-fleet-request:TargetCapacity - The target capacity of a Spot Fleet request. elasticmapreduce:instancegroup:InstanceCount - The instance count of an EMR Instance Group. appstream:fleet:DesiredCapacity - The desired capacity of an AppStream 2.0 fleet. dynamodb:table:ReadCapacityUnits - The provisioned read capacity for a DynamoDB table. dynamodb:table:WriteCapacityUnits - The provisioned write capacity for a DynamoDB table. dynamodb:index:ReadCapacityUnits - The provisioned read capacity for a DynamoDB global secondary index. dynamodb:index:WriteCapacityUnits - The provisioned write capacity for a DynamoDB global secondary index. rds:cluster:ReadReplicaCount - The count of Aurora Replicas in an Aurora DB cluster. Available for Aurora MySQL-compatible edition and Aurora PostgreSQL-compatible edition. sagemaker:variant:DesiredInstanceCount - The number of EC2 instances for an Amazon SageMaker model endpoint variant. custom-resource:ResourceType:Property - The scalable dimension for a custom resource provided by your own application or service. comprehend:document-classifier-endpoint:DesiredInferenceUnits - The number of inference units for an Amazon Comprehend document classification endpoint. lambda:function:ProvisionedConcurrency - The provisioned concurrency for a Lambda function.
*/
ScalableDimension: ScalableDimension;
/**
@@ -622,11 +622,11 @@ declare namespace ApplicationAutoScaling {
*/
Schedule: ResourceIdMaxLen1600;
/**
- * The identifier of the resource associated with the scaling policy. This string consists of the resource type and unique identifier. ECS service - The resource type is service and the unique identifier is the cluster name and service name. Example: service/default/sample-webapp. Spot Fleet request - The resource type is spot-fleet-request and the unique identifier is the Spot Fleet request ID. Example: spot-fleet-request/sfr-73fbd2ce-aa30-494c-8788-1cee4EXAMPLE. EMR cluster - The resource type is instancegroup and the unique identifier is the cluster ID and instance group ID. Example: instancegroup/j-2EEZNYKUA1NTV/ig-1791Y4E1L8YI0. AppStream 2.0 fleet - The resource type is fleet and the unique identifier is the fleet name. Example: fleet/sample-fleet. DynamoDB table - The resource type is table and the unique identifier is the table name. Example: table/my-table. DynamoDB global secondary index - The resource type is index and the unique identifier is the index name. Example: table/my-table/index/my-table-index. Aurora DB cluster - The resource type is cluster and the unique identifier is the cluster name. Example: cluster:my-db-cluster. Amazon SageMaker endpoint variant - The resource type is variant and the unique identifier is the resource ID. Example: endpoint/my-end-point/variant/KMeansClustering. Custom resources are not supported with a resource type. This parameter must specify the OutputValue from the CloudFormation template stack used to access the resources. The unique identifier is defined by the service provider. More information is available in our GitHub repository. Amazon Comprehend document classification endpoint - The resource type and unique identifier are specified using the endpoint ARN. Example: arn:aws:comprehend:us-west-2:123456789012:document-classifier-endpoint/EXAMPLE.
+ * The identifier of the resource associated with the scaling policy. This string consists of the resource type and unique identifier. ECS service - The resource type is service and the unique identifier is the cluster name and service name. Example: service/default/sample-webapp. Spot Fleet request - The resource type is spot-fleet-request and the unique identifier is the Spot Fleet request ID. Example: spot-fleet-request/sfr-73fbd2ce-aa30-494c-8788-1cee4EXAMPLE. EMR cluster - The resource type is instancegroup and the unique identifier is the cluster ID and instance group ID. Example: instancegroup/j-2EEZNYKUA1NTV/ig-1791Y4E1L8YI0. AppStream 2.0 fleet - The resource type is fleet and the unique identifier is the fleet name. Example: fleet/sample-fleet. DynamoDB table - The resource type is table and the unique identifier is the table name. Example: table/my-table. DynamoDB global secondary index - The resource type is index and the unique identifier is the index name. Example: table/my-table/index/my-table-index. Aurora DB cluster - The resource type is cluster and the unique identifier is the cluster name. Example: cluster:my-db-cluster. Amazon SageMaker endpoint variant - The resource type is variant and the unique identifier is the resource ID. Example: endpoint/my-end-point/variant/KMeansClustering. Custom resources are not supported with a resource type. This parameter must specify the OutputValue from the CloudFormation template stack used to access the resources. The unique identifier is defined by the service provider. More information is available in our GitHub repository. Amazon Comprehend document classification endpoint - The resource type and unique identifier are specified using the endpoint ARN. Example: arn:aws:comprehend:us-west-2:123456789012:document-classifier-endpoint/EXAMPLE. Lambda provisioned concurrency - The resource type is function and the unique identifier is the function name with a function version or alias name suffix that is not $LATEST. Example: function:my-function:prod or function:my-function:1.
*/
ResourceId: ResourceIdMaxLen1600;
/**
- * The scalable dimension. This string consists of the service namespace, resource type, and scaling property. ecs:service:DesiredCount - The desired task count of an ECS service. ec2:spot-fleet-request:TargetCapacity - The target capacity of a Spot Fleet request. elasticmapreduce:instancegroup:InstanceCount - The instance count of an EMR Instance Group. appstream:fleet:DesiredCapacity - The desired capacity of an AppStream 2.0 fleet. dynamodb:table:ReadCapacityUnits - The provisioned read capacity for a DynamoDB table. dynamodb:table:WriteCapacityUnits - The provisioned write capacity for a DynamoDB table. dynamodb:index:ReadCapacityUnits - The provisioned read capacity for a DynamoDB global secondary index. dynamodb:index:WriteCapacityUnits - The provisioned write capacity for a DynamoDB global secondary index. rds:cluster:ReadReplicaCount - The count of Aurora Replicas in an Aurora DB cluster. Available for Aurora MySQL-compatible edition and Aurora PostgreSQL-compatible edition. sagemaker:variant:DesiredInstanceCount - The number of EC2 instances for an Amazon SageMaker model endpoint variant. custom-resource:ResourceType:Property - The scalable dimension for a custom resource provided by your own application or service. comprehend:document-classifier-endpoint:DesiredInferenceUnits - The number of inference units for an Amazon Comprehend document classification endpoint.
+ * The scalable dimension. This string consists of the service namespace, resource type, and scaling property. ecs:service:DesiredCount - The desired task count of an ECS service. ec2:spot-fleet-request:TargetCapacity - The target capacity of a Spot Fleet request. elasticmapreduce:instancegroup:InstanceCount - The instance count of an EMR Instance Group. appstream:fleet:DesiredCapacity - The desired capacity of an AppStream 2.0 fleet. dynamodb:table:ReadCapacityUnits - The provisioned read capacity for a DynamoDB table. dynamodb:table:WriteCapacityUnits - The provisioned write capacity for a DynamoDB table. dynamodb:index:ReadCapacityUnits - The provisioned read capacity for a DynamoDB global secondary index. dynamodb:index:WriteCapacityUnits - The provisioned write capacity for a DynamoDB global secondary index. rds:cluster:ReadReplicaCount - The count of Aurora Replicas in an Aurora DB cluster. Available for Aurora MySQL-compatible edition and Aurora PostgreSQL-compatible edition. sagemaker:variant:DesiredInstanceCount - The number of EC2 instances for an Amazon SageMaker model endpoint variant. custom-resource:ResourceType:Property - The scalable dimension for a custom resource provided by your own application or service. comprehend:document-classifier-endpoint:DesiredInferenceUnits - The number of inference units for an Amazon Comprehend document classification endpoint. lambda:function:ProvisionedConcurrency - The provisioned concurrency for a Lambda function.
*/
ScalableDimension?: ScalableDimension;
/**
@@ -648,7 +648,7 @@ declare namespace ApplicationAutoScaling {
}
export type ScheduledActionName = string;
export type ScheduledActions = ScheduledAction[];
- export type ServiceNamespace = "ecs"|"elasticmapreduce"|"ec2"|"appstream"|"dynamodb"|"rds"|"sagemaker"|"custom-resource"|"comprehend"|string;
+ export type ServiceNamespace = "ecs"|"elasticmapreduce"|"ec2"|"appstream"|"dynamodb"|"rds"|"sagemaker"|"custom-resource"|"comprehend"|"lambda"|string;
export interface StepAdjustment {
/**
* The lower bound for the difference between the alarm threshold and the CloudWatch metric. If the metric value is above the breach threshold, the lower bound is inclusive (the metric must be greater than or equal to the threshold plus the lower bound). Otherwise, it is exclusive (the metric must be greater than the threshold plus the lower bound). A null value indicates negative infinity.
diff --git a/clients/ebs.d.ts b/clients/ebs.d.ts
new file mode 100644
index 0000000000..f2256aeb35
--- /dev/null
+++ b/clients/ebs.d.ts
@@ -0,0 +1,211 @@
+import {Request} from '../lib/request';
+import {Response} from '../lib/response';
+import {AWSError} from '../lib/error';
+import {Service} from '../lib/service';
+import {ServiceConfigurationOptions} from '../lib/service';
+import {ConfigBase as Config} from '../lib/config';
+import {Readable} from 'stream';
+interface Blob {}
+declare class EBS extends Service {
+ /**
+ * Constructs a service object. This object has one method for each API operation.
+ */
+ constructor(options?: EBS.Types.ClientConfiguration)
+ config: Config & EBS.Types.ClientConfiguration;
+ /**
+ * Returns the data in a block in an Amazon Elastic Block Store snapshot.
+ */
+ getSnapshotBlock(params: EBS.Types.GetSnapshotBlockRequest, callback?: (err: AWSError, data: EBS.Types.GetSnapshotBlockResponse) => void): Request;
+ /**
+ * Returns the data in a block in an Amazon Elastic Block Store snapshot.
+ */
+ getSnapshotBlock(callback?: (err: AWSError, data: EBS.Types.GetSnapshotBlockResponse) => void): Request;
+ /**
+ * Returns the block indexes and block tokens for blocks that are different between two Amazon Elastic Block Store snapshots of the same volume/snapshot lineage.
+ */
+ listChangedBlocks(params: EBS.Types.ListChangedBlocksRequest, callback?: (err: AWSError, data: EBS.Types.ListChangedBlocksResponse) => void): Request;
+ /**
+ * Returns the block indexes and block tokens for blocks that are different between two Amazon Elastic Block Store snapshots of the same volume/snapshot lineage.
+ */
+ listChangedBlocks(callback?: (err: AWSError, data: EBS.Types.ListChangedBlocksResponse) => void): Request;
+ /**
+ * Returns the block indexes and block tokens for blocks in an Amazon Elastic Block Store snapshot.
+ */
+ listSnapshotBlocks(params: EBS.Types.ListSnapshotBlocksRequest, callback?: (err: AWSError, data: EBS.Types.ListSnapshotBlocksResponse) => void): Request;
+ /**
+ * Returns the block indexes and block tokens for blocks in an Amazon Elastic Block Store snapshot.
+ */
+ listSnapshotBlocks(callback?: (err: AWSError, data: EBS.Types.ListSnapshotBlocksResponse) => void): Request;
+}
+declare namespace EBS {
+ export interface Block {
+ /**
+ * The block index.
+ */
+ BlockIndex?: BlockIndex;
+ /**
+ * The block token for the block index.
+ */
+ BlockToken?: BlockToken;
+ }
+ export type BlockData = Buffer|Uint8Array|Blob|string|Readable;
+ export type BlockIndex = number;
+ export type BlockSize = number;
+ export type BlockToken = string;
+ export type Blocks = Block[];
+ export interface ChangedBlock {
+ /**
+ * The block index.
+ */
+ BlockIndex?: BlockIndex;
+ /**
+ * The block token for the block index of the first snapshot ID specified in the list changed blocks operation. This value is absent if the first snapshot does not have the changed block that is on the second snapshot.
+ */
+ FirstBlockToken?: BlockToken;
+ /**
+ * The block token for the block index of the second snapshot ID specified in the list changed blocks operation.
+ */
+ SecondBlockToken?: BlockToken;
+ }
+ export type ChangedBlocks = ChangedBlock[];
+ export type Checksum = string;
+ export type ChecksumAlgorithm = "SHA256"|string;
+ export type DataLength = number;
+ export interface GetSnapshotBlockRequest {
+ /**
+ * The ID of the snapshot containing the block from which to get data.
+ */
+ SnapshotId: SnapshotId;
+ /**
+ * The block index of the block from which to get data. Obtain the block index by running the list changed blocks or list snapshot blocks operations.
+ */
+ BlockIndex: BlockIndex;
+ /**
+ * The block token of the block from which to get data. Obtain the block token by running the list changed blocks or list snapshot blocks operations.
+ */
+ BlockToken: BlockToken;
+ }
+ export interface GetSnapshotBlockResponse {
+ /**
+ * The size of the data in the block.
+ */
+ DataLength?: DataLength;
+ /**
+ * The data content of the block.
+ */
+ BlockData?: BlockData;
+ /**
+ * The checksum generated for the block.
+ */
+ Checksum?: Checksum;
+ /**
+ * The algorithm used to generate the checksum for the block, such as SHA256.
+ */
+ ChecksumAlgorithm?: ChecksumAlgorithm;
+ }
+ export interface ListChangedBlocksRequest {
+ /**
+ * The ID of the first snapshot to use for the comparison.
+ */
+ FirstSnapshotId?: SnapshotId;
+ /**
+ * The ID of the second snapshot to use for the comparison.
+ */
+ SecondSnapshotId: SnapshotId;
+ /**
+ * The token to request the next page of results.
+ */
+ NextToken?: PageToken;
+ /**
+ * The number of results to return.
+ */
+ MaxResults?: MaxResults;
+ /**
+ * The block index from which the comparison should start. The list in the response will start from this block index or the next valid block index in the snapshots.
+ */
+ StartingBlockIndex?: BlockIndex;
+ }
+ export interface ListChangedBlocksResponse {
+ /**
+ * An array of objects containing information about the changed blocks.
+ */
+ ChangedBlocks?: ChangedBlocks;
+ /**
+ * The time when the block token expires.
+ */
+ ExpiryTime?: TimeStamp;
+ /**
+ * The size of the volume in GB.
+ */
+ VolumeSize?: VolumeSize;
+ /**
+ * The size of the block.
+ */
+ BlockSize?: BlockSize;
+ /**
+ * The token to use to retrieve the next page of results. This value is null when there are no more results to return.
+ */
+ NextToken?: PageToken;
+ }
+ export interface ListSnapshotBlocksRequest {
+ /**
+ * The ID of the snapshot from which to get block indexes and block tokens.
+ */
+ SnapshotId: SnapshotId;
+ /**
+ * The token to request the next page of results.
+ */
+ NextToken?: PageToken;
+ /**
+ * The number of results to return.
+ */
+ MaxResults?: MaxResults;
+ /**
+ * The block index from which the list should start. The list in the response will start from this block index or the next valid block index in the snapshot.
+ */
+ StartingBlockIndex?: BlockIndex;
+ }
+ export interface ListSnapshotBlocksResponse {
+ /**
+ * An array of objects containing information about the blocks.
+ */
+ Blocks?: Blocks;
+ /**
+ * The time when the block token expires.
+ */
+ ExpiryTime?: TimeStamp;
+ /**
+ * The size of the volume in GB.
+ */
+ VolumeSize?: VolumeSize;
+ /**
+ * The size of the block.
+ */
+ BlockSize?: BlockSize;
+ /**
+ * The token to use to retrieve the next page of results. This value is null when there are no more results to return.
+ */
+ NextToken?: PageToken;
+ }
+ export type MaxResults = number;
+ export type PageToken = string;
+ export type SnapshotId = string;
+ export type TimeStamp = Date;
+ export type VolumeSize = number;
+ /**
+ * A string in YYYY-MM-DD format that represents the latest possible API version that can be used in this service. Specify 'latest' to use the latest possible version.
+ */
+ export type apiVersion = "2019-11-02"|"latest"|string;
+ export interface ClientApiVersions {
+ /**
+ * A string in YYYY-MM-DD format that represents the latest possible API version that can be used in this service. Specify 'latest' to use the latest possible version.
+ */
+ apiVersion?: apiVersion;
+ }
+ export type ClientConfiguration = ServiceConfigurationOptions & ClientApiVersions;
+ /**
+ * Contains interfaces for use with the EBS client.
+ */
+ export import Types = EBS;
+}
+export = EBS;
diff --git a/clients/ebs.js b/clients/ebs.js
new file mode 100644
index 0000000000..f7039bedaa
--- /dev/null
+++ b/clients/ebs.js
@@ -0,0 +1,18 @@
+require('../lib/node_loader');
+var AWS = require('../lib/core');
+var Service = AWS.Service;
+var apiLoader = AWS.apiLoader;
+
+apiLoader.services['ebs'] = {};
+AWS.EBS = Service.defineService('ebs', ['2019-11-02']);
+Object.defineProperty(apiLoader.services['ebs'], '2019-11-02', {
+ get: function get() {
+ var model = require('../apis/ebs-2019-11-02.min.json');
+ model.paginators = require('../apis/ebs-2019-11-02.paginators.json').pagination;
+ return model;
+ },
+ enumerable: true,
+ configurable: true
+});
+
+module.exports = AWS.EBS;
diff --git a/clients/lambda.d.ts b/clients/lambda.d.ts
index bb6f485899..0d708911c3 100644
--- a/clients/lambda.d.ts
+++ b/clients/lambda.d.ts
@@ -101,6 +101,14 @@ declare class Lambda extends Service {
* Deletes a version of an AWS Lambda layer. Deleted versions can no longer be viewed or added to functions. To avoid breaking functions, a copy of the version remains in Lambda until no functions refer to it.
*/
deleteLayerVersion(callback?: (err: AWSError, data: {}) => void): Request<{}, AWSError>;
+ /**
+ * Deletes the provisioned concurrency configuration for a function.
+ */
+ deleteProvisionedConcurrencyConfig(params: Lambda.Types.DeleteProvisionedConcurrencyConfigRequest, callback?: (err: AWSError, data: {}) => void): Request<{}, AWSError>;
+ /**
+ * Deletes the provisioned concurrency configuration for a function.
+ */
+ deleteProvisionedConcurrencyConfig(callback?: (err: AWSError, data: {}) => void): Request<{}, AWSError>;
/**
* Retrieves details about your account's limits and usage in an AWS Region.
*/
@@ -133,6 +141,14 @@ declare class Lambda extends Service {
* Returns information about the function or function version, with a link to download the deployment package that's valid for 10 minutes. If you specify a function version, only details that are specific to that version are returned.
*/
getFunction(callback?: (err: AWSError, data: Lambda.Types.GetFunctionResponse) => void): Request;
+ /**
+ * Returns details about the concurrency configuration for a function. To set a concurrency limit for a function, use PutFunctionConcurrency.
+ */
+ getFunctionConcurrency(params: Lambda.Types.GetFunctionConcurrencyRequest, callback?: (err: AWSError, data: Lambda.Types.GetFunctionConcurrencyResponse) => void): Request;
+ /**
+ * Returns details about the concurrency configuration for a function. To set a concurrency limit for a function, use PutFunctionConcurrency.
+ */
+ getFunctionConcurrency(callback?: (err: AWSError, data: Lambda.Types.GetFunctionConcurrencyResponse) => void): Request;
/**
* Returns the version-specific settings of a Lambda function or version. The output includes only options that can vary between versions of a function. To modify these settings, use UpdateFunctionConfiguration. To get all of a function's details, including function-level settings, use GetFunction.
*/
@@ -181,6 +197,14 @@ declare class Lambda extends Service {
* Returns the resource-based IAM policy for a function, version, or alias.
*/
getPolicy(callback?: (err: AWSError, data: Lambda.Types.GetPolicyResponse) => void): Request;
+ /**
+ * Retrieves the provisioned concurrency configuration for a function's alias or version.
+ */
+ getProvisionedConcurrencyConfig(params: Lambda.Types.GetProvisionedConcurrencyConfigRequest, callback?: (err: AWSError, data: Lambda.Types.GetProvisionedConcurrencyConfigResponse) => void): Request;
+ /**
+ * Retrieves the provisioned concurrency configuration for a function's alias or version.
+ */
+ getProvisionedConcurrencyConfig(callback?: (err: AWSError, data: Lambda.Types.GetProvisionedConcurrencyConfigResponse) => void): Request;
/**
* Invokes a Lambda function. You can invoke a function synchronously (and wait for the response), or asynchronously. To invoke a function asynchronously, set InvocationType to Event. For synchronous invocation, details about the function response, including errors, are included in the response body and headers. For either invocation type, you can find more information in the execution log and trace. When an error occurs, your function may be invoked multiple times. Retry behavior varies by error type, client, event source, and invocation type. For example, if you invoke a function asynchronously and it returns an error, Lambda executes the function up to two more times. For more information, see Retry Behavior. For asynchronous invocation, Lambda adds events to a queue before sending them to your function. If your function does not have enough capacity to keep up with the queue, events may be lost. Occasionally, your function may receive the same event multiple times, even if no error occurs. To retain events that were not processed, configure your function with a dead-letter queue. The status code in the API response doesn't reflect function errors. Error codes are reserved for errors that prevent your function from executing, such as permissions errors, limit errors, or issues with your function's code and configuration. For example, Lambda returns TooManyRequestsException if executing the function would cause you to exceed a concurrency limit at either the account level (ConcurrentInvocationLimitExceeded) or function level (ReservedFunctionConcurrentInvocationLimitExceeded). For functions with a long timeout, your client might be disconnected during synchronous invocation while it waits for a response. Configure your HTTP client, SDK, firewall, proxy, or operating system to allow for long connections with timeout or keep-alive settings. This operation requires permission for the lambda:InvokeFunction action.
*/
@@ -245,6 +269,14 @@ declare class Lambda extends Service {
* Lists AWS Lambda layers and shows information about the latest version of each. Specify a runtime identifier to list only layers that indicate that they're compatible with that runtime.
*/
listLayers(callback?: (err: AWSError, data: Lambda.Types.ListLayersResponse) => void): Request;
+ /**
+ * Retrieves a list of provisioned concurrency configurations for a function.
+ */
+ listProvisionedConcurrencyConfigs(params: Lambda.Types.ListProvisionedConcurrencyConfigsRequest, callback?: (err: AWSError, data: Lambda.Types.ListProvisionedConcurrencyConfigsResponse) => void): Request;
+ /**
+ * Retrieves a list of provisioned concurrency configurations for a function.
+ */
+ listProvisionedConcurrencyConfigs(callback?: (err: AWSError, data: Lambda.Types.ListProvisionedConcurrencyConfigsResponse) => void): Request;
/**
* Returns a function's tags. You can also view tags with GetFunction.
*/
@@ -278,11 +310,11 @@ declare class Lambda extends Service {
*/
publishVersion(callback?: (err: AWSError, data: Lambda.Types.FunctionConfiguration) => void): Request;
/**
- * Sets the maximum number of simultaneous executions for a function, and reserves capacity for that concurrency level. Concurrency settings apply to the function as a whole, including all published versions and the unpublished version. Reserving concurrency both ensures that your function has capacity to process the specified number of events simultaneously, and prevents it from scaling beyond that level. Use GetFunction to see the current setting for a function. Use GetAccountSettings to see your regional concurrency limit. You can reserve concurrency for as many functions as you like, as long as you leave at least 100 simultaneous executions unreserved for functions that aren't configured with a per-function limit. For more information, see Managing Concurrency.
+ * Sets the maximum number of simultaneous executions for a function, and reserves capacity for that concurrency level. Concurrency settings apply to the function as a whole, including all published versions and the unpublished version. Reserving concurrency both ensures that your function has capacity to process the specified number of events simultaneously, and prevents it from scaling beyond that level. Use GetFunction to see the current setting for a function. Use GetAccountSettings to see your Regional concurrency limit. You can reserve concurrency for as many functions as you like, as long as you leave at least 100 simultaneous executions unreserved for functions that aren't configured with a per-function limit. For more information, see Managing Concurrency.
*/
putFunctionConcurrency(params: Lambda.Types.PutFunctionConcurrencyRequest, callback?: (err: AWSError, data: Lambda.Types.Concurrency) => void): Request;
/**
- * Sets the maximum number of simultaneous executions for a function, and reserves capacity for that concurrency level. Concurrency settings apply to the function as a whole, including all published versions and the unpublished version. Reserving concurrency both ensures that your function has capacity to process the specified number of events simultaneously, and prevents it from scaling beyond that level. Use GetFunction to see the current setting for a function. Use GetAccountSettings to see your regional concurrency limit. You can reserve concurrency for as many functions as you like, as long as you leave at least 100 simultaneous executions unreserved for functions that aren't configured with a per-function limit. For more information, see Managing Concurrency.
+ * Sets the maximum number of simultaneous executions for a function, and reserves capacity for that concurrency level. Concurrency settings apply to the function as a whole, including all published versions and the unpublished version. Reserving concurrency both ensures that your function has capacity to process the specified number of events simultaneously, and prevents it from scaling beyond that level. Use GetFunction to see the current setting for a function. Use GetAccountSettings to see your Regional concurrency limit. You can reserve concurrency for as many functions as you like, as long as you leave at least 100 simultaneous executions unreserved for functions that aren't configured with a per-function limit. For more information, see Managing Concurrency.
*/
putFunctionConcurrency(callback?: (err: AWSError, data: Lambda.Types.Concurrency) => void): Request;
/**
@@ -293,6 +325,14 @@ declare class Lambda extends Service {
* Configures options for asynchronous invocation on a function, version, or alias. By default, Lambda retries an asynchronous invocation twice if the function returns an error. It retains events in a queue for up to six hours. When an event fails all processing attempts or stays in the asynchronous invocation queue for too long, Lambda discards it. To retain discarded events, configure a dead-letter queue with UpdateFunctionConfiguration.
*/
putFunctionEventInvokeConfig(callback?: (err: AWSError, data: Lambda.Types.FunctionEventInvokeConfig) => void): Request;
+ /**
+ * Adds a provisioned concurrency configuration to a function's alias or version.
+ */
+ putProvisionedConcurrencyConfig(params: Lambda.Types.PutProvisionedConcurrencyConfigRequest, callback?: (err: AWSError, data: Lambda.Types.PutProvisionedConcurrencyConfigResponse) => void): Request;
+ /**
+ * Adds a provisioned concurrency configuration to a function's alias or version.
+ */
+ putProvisionedConcurrencyConfig(callback?: (err: AWSError, data: Lambda.Types.PutProvisionedConcurrencyConfigResponse) => void): Request;
/**
* Removes a statement from the permissions policy for a version of an AWS Lambda layer. For more information, see AddLayerVersionPermission.
*/
@@ -754,6 +794,16 @@ declare namespace Lambda {
*/
VersionNumber: LayerVersionNumber;
}
+ export interface DeleteProvisionedConcurrencyConfigRequest {
+ /**
+ * The name of the Lambda function. Name formats Function name - my-function. Function ARN - arn:aws:lambda:us-west-2:123456789012:function:my-function. Partial ARN - 123456789012:function:my-function. The length constraint applies only to the full ARN. If you specify only the function name, it is limited to 64 characters in length.
+ */
+ FunctionName: FunctionName;
+ /**
+ * The version number or alias name.
+ */
+ Qualifier: Qualifier;
+ }
export type Description = string;
export type DestinationArn = string;
export interface DestinationConfig {
@@ -1046,6 +1096,18 @@ declare namespace Lambda {
*/
UUID: String;
}
+ export interface GetFunctionConcurrencyRequest {
+ /**
+ * The name of the Lambda function. Name formats Function name - my-function. Function ARN - arn:aws:lambda:us-west-2:123456789012:function:my-function. Partial ARN - 123456789012:function:my-function. The length constraint applies only to the full ARN. If you specify only the function name, it is limited to 64 characters in length.
+ */
+ FunctionName: FunctionName;
+ }
+ export interface GetFunctionConcurrencyResponse {
+ /**
+ * The number of simultaneous executions that are reserved for the function.
+ */
+ ReservedConcurrentExecutions?: ReservedConcurrentExecutions;
+ }
export interface GetFunctionConfigurationRequest {
/**
* The name of the Lambda function, version, or alias. Name formats Function name - my-function (name-only), my-function:v1 (with alias). Function ARN - arn:aws:lambda:us-west-2:123456789012:function:my-function. Partial ARN - 123456789012:function:my-function. You can append a version number or alias to any of the formats. The length constraint applies only to the full ARN. If you specify only the function name, it is limited to 64 characters in length.
@@ -1184,6 +1246,42 @@ declare namespace Lambda {
*/
RevisionId?: String;
}
+ export interface GetProvisionedConcurrencyConfigRequest {
+ /**
+ * The name of the Lambda function. Name formats Function name - my-function. Function ARN - arn:aws:lambda:us-west-2:123456789012:function:my-function. Partial ARN - 123456789012:function:my-function. The length constraint applies only to the full ARN. If you specify only the function name, it is limited to 64 characters in length.
+ */
+ FunctionName: FunctionName;
+ /**
+ * The version number or alias name.
+ */
+ Qualifier: Qualifier;
+ }
+ export interface GetProvisionedConcurrencyConfigResponse {
+ /**
+ * The amount of provisioned concurrency requested.
+ */
+ RequestedProvisionedConcurrentExecutions?: PositiveInteger;
+ /**
+ * The amount of provisioned concurrency available.
+ */
+ AvailableProvisionedConcurrentExecutions?: NonNegativeInteger;
+ /**
+ * The amount of provisioned concurrency allocated.
+ */
+ AllocatedProvisionedConcurrentExecutions?: NonNegativeInteger;
+ /**
+ * The status of the allocation process.
+ */
+ Status?: ProvisionedConcurrencyStatusEnum;
+ /**
+ * For failed allocations, the reason that provisioned concurrency could not be allocated.
+ */
+ StatusReason?: String;
+ /**
+ * The date and time that a user last updated the configuration, in ISO 8601 format.
+ */
+ LastModified?: Timestamp;
+ }
export type Handler = string;
export type HttpStatus = number;
export type Integer = number;
@@ -1509,6 +1607,30 @@ declare namespace Lambda {
*/
Layers?: LayersList;
}
+ export interface ListProvisionedConcurrencyConfigsRequest {
+ /**
+ * The name of the Lambda function. Name formats Function name - my-function. Function ARN - arn:aws:lambda:us-west-2:123456789012:function:my-function. Partial ARN - 123456789012:function:my-function. The length constraint applies only to the full ARN. If you specify only the function name, it is limited to 64 characters in length.
+ */
+ FunctionName: FunctionName;
+ /**
+ * Specify the pagination token that's returned by a previous request to retrieve the next page of results.
+ */
+ Marker?: String;
+ /**
+ * Specify a number to limit the number of configurations returned.
+ */
+ MaxItems?: MaxProvisionedConcurrencyConfigListItems;
+ }
+ export interface ListProvisionedConcurrencyConfigsResponse {
+ /**
+ * A list of provisioned concurrency configurations.
+ */
+ ProvisionedConcurrencyConfigs?: ProvisionedConcurrencyConfigList;
+ /**
+ * The pagination token that's included if more results are available.
+ */
+ NextMarker?: String;
+ }
export interface ListTagsRequest {
/**
* The function's Amazon Resource Name (ARN).
@@ -1551,6 +1673,7 @@ declare namespace Lambda {
export type MaxFunctionEventInvokeConfigListItems = number;
export type MaxLayerListItems = number;
export type MaxListItems = number;
+ export type MaxProvisionedConcurrencyConfigListItems = number;
export type MaximumBatchingWindowInSeconds = number;
export type MaximumEventAgeInSeconds = number;
export type MaximumRecordAgeInSeconds = number;
@@ -1560,6 +1683,7 @@ declare namespace Lambda {
export type NameSpacedFunctionArn = string;
export type NamespacedFunctionName = string;
export type NamespacedStatementId = string;
+ export type NonNegativeInteger = number;
export interface OnFailure {
/**
* The Amazon Resource Name (ARN) of the destination resource.
@@ -1574,7 +1698,40 @@ declare namespace Lambda {
}
export type OrganizationId = string;
export type ParallelizationFactor = number;
+ export type PositiveInteger = number;
export type Principal = string;
+ export type ProvisionedConcurrencyConfigList = ProvisionedConcurrencyConfigListItem[];
+ export interface ProvisionedConcurrencyConfigListItem {
+ /**
+ * The Amazon Resource Name (ARN) of the alias or version.
+ */
+ FunctionArn?: FunctionArn;
+ /**
+ * The amount of provisioned concurrency requested.
+ */
+ RequestedProvisionedConcurrentExecutions?: PositiveInteger;
+ /**
+ * The amount of provisioned concurrency available.
+ */
+ AvailableProvisionedConcurrentExecutions?: NonNegativeInteger;
+ /**
+ * The amount of provisioned concurrency allocated.
+ */
+ AllocatedProvisionedConcurrentExecutions?: NonNegativeInteger;
+ /**
+ * The status of the allocation process.
+ */
+ Status?: ProvisionedConcurrencyStatusEnum;
+ /**
+ * For failed allocations, the reason that provisioned concurrency could not be allocated.
+ */
+ StatusReason?: String;
+ /**
+ * The date and time that a user last updated the configuration, in ISO 8601 format.
+ */
+ LastModified?: Timestamp;
+ }
+ export type ProvisionedConcurrencyStatusEnum = "IN_PROGRESS"|"READY"|"FAILED"|string;
export interface PublishLayerVersionRequest {
/**
* The name or Amazon Resource Name (ARN) of the layer.
@@ -1681,6 +1838,46 @@ declare namespace Lambda {
*/
DestinationConfig?: DestinationConfig;
}
+ export interface PutProvisionedConcurrencyConfigRequest {
+ /**
+ * The name of the Lambda function. Name formats Function name - my-function. Function ARN - arn:aws:lambda:us-west-2:123456789012:function:my-function. Partial ARN - 123456789012:function:my-function. The length constraint applies only to the full ARN. If you specify only the function name, it is limited to 64 characters in length.
+ */
+ FunctionName: FunctionName;
+ /**
+ * The version number or alias name.
+ */
+ Qualifier: Qualifier;
+ /**
+ * The amount of provisioned concurrency to allocate for the version or alias.
+ */
+ ProvisionedConcurrentExecutions: PositiveInteger;
+ }
+ export interface PutProvisionedConcurrencyConfigResponse {
+ /**
+ * The amount of provisioned concurrency requested.
+ */
+ RequestedProvisionedConcurrentExecutions?: PositiveInteger;
+ /**
+ * The amount of provisioned concurrency available.
+ */
+ AvailableProvisionedConcurrentExecutions?: NonNegativeInteger;
+ /**
+ * The amount of provisioned concurrency allocated.
+ */
+ AllocatedProvisionedConcurrentExecutions?: NonNegativeInteger;
+ /**
+ * The status of the allocation process.
+ */
+ Status?: ProvisionedConcurrencyStatusEnum;
+ /**
+ * For failed allocations, the reason that provisioned concurrency could not be allocated.
+ */
+ StatusReason?: String;
+ /**
+ * The date and time that a user last updated the configuration, in ISO 8601 format.
+ */
+ LastModified?: Timestamp;
+ }
export type Qualifier = string;
export interface RemoveLayerVersionPermissionRequest {
/**
diff --git a/clients/rds.d.ts b/clients/rds.d.ts
index b0e4940efa..149974f1e3 100644
--- a/clients/rds.d.ts
+++ b/clients/rds.d.ts
@@ -173,6 +173,14 @@ declare class RDS extends Service {
* Creates a new DB parameter group. A DB parameter group is initially created with the default parameters for the database engine used by the DB instance. To provide custom values for any of the parameters, you must modify the group after creating it using ModifyDBParameterGroup. Once you've created a DB parameter group, you need to associate it with your DB instance using ModifyDBInstance. When you associate a new DB parameter group with a running DB instance, you need to reboot the DB instance without failover for the new DB parameter group and associated settings to take effect. After you create a DB parameter group, you should wait at least 5 minutes before creating your first DB instance that uses that DB parameter group as the default parameter group. This allows Amazon RDS to fully complete the create action before the parameter group is used as the default for a new DB instance. This is especially important for parameters that are critical when creating the default database for a DB instance, such as the character set for the default database defined by the character_set_database parameter. You can use the Parameter Groups option of the Amazon RDS console or the DescribeDBParameters command to verify that your DB parameter group has been created or modified.
*/
createDBParameterGroup(callback?: (err: AWSError, data: RDS.Types.CreateDBParameterGroupResult) => void): Request;
+ /**
+ * This is prerelease documentation for the RDS Database Proxy feature in preview release. It is subject to change. Creates a new DB proxy.
+ */
+ createDBProxy(params: RDS.Types.CreateDBProxyRequest, callback?: (err: AWSError, data: RDS.Types.CreateDBProxyResponse) => void): Request;
+ /**
+ * This is prerelease documentation for the RDS Database Proxy feature in preview release. It is subject to change. Creates a new DB proxy.
+ */
+ createDBProxy(callback?: (err: AWSError, data: RDS.Types.CreateDBProxyResponse) => void): Request;
/**
* Creates a new DB security group. DB security groups control access to a DB instance. A DB security group controls access to EC2-Classic DB instances that are not in a VPC.
*/
@@ -285,6 +293,14 @@ declare class RDS extends Service {
* Deletes a specified DB parameter group. The DB parameter group to be deleted can't be associated with any DB instances.
*/
deleteDBParameterGroup(callback?: (err: AWSError, data: {}) => void): Request<{}, AWSError>;
+ /**
+ * This is prerelease documentation for the RDS Database Proxy feature in preview release. It is subject to change. Deletes an existing proxy.
+ */
+ deleteDBProxy(params: RDS.Types.DeleteDBProxyRequest, callback?: (err: AWSError, data: RDS.Types.DeleteDBProxyResponse) => void): Request;
+ /**
+ * This is prerelease documentation for the RDS Database Proxy feature in preview release. It is subject to change. Deletes an existing proxy.
+ */
+ deleteDBProxy(callback?: (err: AWSError, data: RDS.Types.DeleteDBProxyResponse) => void): Request;
/**
* Deletes a DB security group. The specified DB security group must not be associated with any DB instances.
*/
@@ -341,6 +357,14 @@ declare class RDS extends Service {
* Deletes an existing option group.
*/
deleteOptionGroup(callback?: (err: AWSError, data: {}) => void): Request<{}, AWSError>;
+ /**
+ * This is prerelease documentation for the RDS Database Proxy feature in preview release. It is subject to change. Remove the association between one or more DBProxyTarget data structures and a DBProxyTargetGroup.
+ */
+ deregisterDBProxyTargets(params: RDS.Types.DeregisterDBProxyTargetsRequest, callback?: (err: AWSError, data: RDS.Types.DeregisterDBProxyTargetsResponse) => void): Request;
+ /**
+ * This is prerelease documentation for the RDS Database Proxy feature in preview release. It is subject to change. Remove the association between one or more DBProxyTarget data structures and a DBProxyTargetGroup.
+ */
+ deregisterDBProxyTargets(callback?: (err: AWSError, data: RDS.Types.DeregisterDBProxyTargetsResponse) => void): Request;
/**
* Lists all of the attributes for a customer account. The attributes include Amazon RDS quotas for the account, such as the number of DB instances allowed. The description for a quota includes the quota name, current usage toward that quota, and the quota's maximum value. This command doesn't take any parameters.
*/
@@ -469,6 +493,30 @@ declare class RDS extends Service {
* Returns the detailed parameter list for a particular DB parameter group.
*/
describeDBParameters(callback?: (err: AWSError, data: RDS.Types.DBParameterGroupDetails) => void): Request;
+ /**
+ * This is prerelease documentation for the RDS Database Proxy feature in preview release. It is subject to change. Returns information about DB proxies.
+ */
+ describeDBProxies(params: RDS.Types.DescribeDBProxiesRequest, callback?: (err: AWSError, data: RDS.Types.DescribeDBProxiesResponse) => void): Request;
+ /**
+ * This is prerelease documentation for the RDS Database Proxy feature in preview release. It is subject to change. Returns information about DB proxies.
+ */
+ describeDBProxies(callback?: (err: AWSError, data: RDS.Types.DescribeDBProxiesResponse) => void): Request;
+ /**
+ * This is prerelease documentation for the RDS Database Proxy feature in preview release. It is subject to change. Returns information about DB proxy target groups, represented by DBProxyTargetGroup data structures.
+ */
+ describeDBProxyTargetGroups(params: RDS.Types.DescribeDBProxyTargetGroupsRequest, callback?: (err: AWSError, data: RDS.Types.DescribeDBProxyTargetGroupsResponse) => void): Request;
+ /**
+ * This is prerelease documentation for the RDS Database Proxy feature in preview release. It is subject to change. Returns information about DB proxy target groups, represented by DBProxyTargetGroup data structures.
+ */
+ describeDBProxyTargetGroups(callback?: (err: AWSError, data: RDS.Types.DescribeDBProxyTargetGroupsResponse) => void): Request;
+ /**
+ * This is prerelease documentation for the RDS Database Proxy feature in preview release. It is subject to change. Returns information about DBProxyTarget objects. This API supports pagination.
+ */
+ describeDBProxyTargets(params: RDS.Types.DescribeDBProxyTargetsRequest, callback?: (err: AWSError, data: RDS.Types.DescribeDBProxyTargetsResponse) => void): Request;
+ /**
+ * This is prerelease documentation for the RDS Database Proxy feature in preview release. It is subject to change. Returns information about DBProxyTarget objects. This API supports pagination.
+ */
+ describeDBProxyTargets(callback?: (err: AWSError, data: RDS.Types.DescribeDBProxyTargetsResponse) => void): Request;
/**
* Returns a list of DBSecurityGroup descriptions. If a DBSecurityGroupName is specified, the list will contain only the descriptions of the specified DB security group.
*/
@@ -709,6 +757,22 @@ declare class RDS extends Service {
* Modifies the parameters of a DB parameter group. To modify more than one parameter, submit a list of the following: ParameterName, ParameterValue, and ApplyMethod. A maximum of 20 parameters can be modified in a single request. Changes to dynamic parameters are applied immediately. Changes to static parameters require a reboot without failover to the DB instance associated with the parameter group before the change can take effect. After you modify a DB parameter group, you should wait at least 5 minutes before creating your first DB instance that uses that DB parameter group as the default parameter group. This allows Amazon RDS to fully complete the modify action before the parameter group is used as the default for a new DB instance. This is especially important for parameters that are critical when creating the default database for a DB instance, such as the character set for the default database defined by the character_set_database parameter. You can use the Parameter Groups option of the Amazon RDS console or the DescribeDBParameters command to verify that your DB parameter group has been created or modified.
*/
modifyDBParameterGroup(callback?: (err: AWSError, data: RDS.Types.DBParameterGroupNameMessage) => void): Request;
+ /**
+ * This is prerelease documentation for the RDS Database Proxy feature in preview release. It is subject to change. Changes the settings for an existing DB proxy.
+ */
+ modifyDBProxy(params: RDS.Types.ModifyDBProxyRequest, callback?: (err: AWSError, data: RDS.Types.ModifyDBProxyResponse) => void): Request;
+ /**
+ * This is prerelease documentation for the RDS Database Proxy feature in preview release. It is subject to change. Changes the settings for an existing DB proxy.
+ */
+ modifyDBProxy(callback?: (err: AWSError, data: RDS.Types.ModifyDBProxyResponse) => void): Request;
+ /**
+ * This is prerelease documentation for the RDS Database Proxy feature in preview release. It is subject to change. Modifies the properties of a DBProxyTargetGroup.
+ */
+ modifyDBProxyTargetGroup(params: RDS.Types.ModifyDBProxyTargetGroupRequest, callback?: (err: AWSError, data: RDS.Types.ModifyDBProxyTargetGroupResponse) => void): Request;
+ /**
+ * This is prerelease documentation for the RDS Database Proxy feature in preview release. It is subject to change. Modifies the properties of a DBProxyTargetGroup.
+ */
+ modifyDBProxyTargetGroup(callback?: (err: AWSError, data: RDS.Types.ModifyDBProxyTargetGroupResponse) => void): Request;
/**
* Updates a manual DB snapshot, which can be encrypted or not encrypted, with a new engine version. Amazon RDS supports upgrading DB snapshots for MySQL, Oracle, and PostgreSQL.
*/
@@ -789,6 +853,14 @@ declare class RDS extends Service {
* You might need to reboot your DB instance, usually for maintenance reasons. For example, if you make certain modifications, or if you change the DB parameter group associated with the DB instance, you must reboot the instance for the changes to take effect. Rebooting a DB instance restarts the database engine service. Rebooting a DB instance results in a momentary outage, during which the DB instance status is set to rebooting. For more information about rebooting, see Rebooting a DB Instance in the Amazon RDS User Guide.
*/
rebootDBInstance(callback?: (err: AWSError, data: RDS.Types.RebootDBInstanceResult) => void): Request;
+ /**
+ * This is prerelease documentation for the RDS Database Proxy feature in preview release. It is subject to change. Associate one or more DBProxyTarget data structures with a DBProxyTargetGroup.
+ */
+ registerDBProxyTargets(params: RDS.Types.RegisterDBProxyTargetsRequest, callback?: (err: AWSError, data: RDS.Types.RegisterDBProxyTargetsResponse) => void): Request;
+ /**
+ * This is prerelease documentation for the RDS Database Proxy feature in preview release. It is subject to change. Associate one or more DBProxyTarget data structures with a DBProxyTargetGroup.
+ */
+ registerDBProxyTargets(callback?: (err: AWSError, data: RDS.Types.RegisterDBProxyTargetsResponse) => void): Request;
/**
* Detaches an Aurora secondary cluster from an Aurora global database cluster. The cluster becomes a standalone cluster with read-write capability instead of being read-only and receiving data from a primary cluster in a different region. This action only applies to Aurora DB clusters.
*/
@@ -1095,6 +1167,7 @@ declare namespace RDS {
ResourcePendingMaintenanceActions?: ResourcePendingMaintenanceActions;
}
export type AttributeValueList = String[];
+ export type AuthScheme = "SECRETS"|string;
export interface AuthorizeDBSecurityGroupIngressMessage {
/**
* The name of the DB security group to add authorization to.
@@ -1220,6 +1293,50 @@ declare namespace RDS {
*/
DisableLogTypes?: LogTypeList;
}
+ export interface ConnectionPoolConfiguration {
+ /**
+ * The maximum size of the connection pool for each target in a target group. For Aurora MySQL, it is expressed as a percentage of the max_connections setting for the RDS DB instance or Aurora DB cluster used by the target group. Default: 100 Constraints: between 1 and 100
+ */
+ MaxConnectionsPercent?: IntegerOptional;
+ /**
+ * Controls how actively the proxy closes idle database connections in the connection pool. A high value enables the proxy to leave a high percentage of idle connections open. A low value causes the proxy to close idle client connections and return the underlying database connections to the connection pool. For Aurora MySQL, it is expressed as a percentage of the max_connections setting for the RDS DB instance or Aurora DB cluster used by the target group. Default: 50 Constraints: between 0 and MaxConnectionsPercent
+ */
+ MaxIdleConnectionsPercent?: IntegerOptional;
+ /**
+ * The number of seconds for a proxy to wait for a connection to become available in the connection pool. Only applies when the proxy has opened its maximum number of connections and all connections are busy with client sessions. Default: 120 Constraints: between 1 and 3600, or 0 representing unlimited
+ */
+ ConnectionBorrowTimeout?: IntegerOptional;
+ /**
+ * Each item in the list represents a class of SQL operations that normally cause all later statements in a session using a proxy to be pinned to the same underlying database connection. Including an item in the list exempts that class of SQL operations from the pinning behavior. Default: no session pinning filters
+ */
+ SessionPinningFilters?: StringList;
+ /**
+ * One or more SQL statements for the proxy to run when opening each new database connection. Typically used with SET statements to make sure that each connection has identical settings such as time zone and character set. For multiple statements, use semicolons as the separator. You can also include multiple variables in a single SET statement, such as SET x=1, y=2. Default: no initialization query
+ */
+ InitQuery?: String;
+ }
+ export interface ConnectionPoolConfigurationInfo {
+ /**
+ * The maximum size of the connection pool for each target in a target group. For Aurora MySQL, it is expressed as a percentage of the max_connections setting for the RDS DB instance or Aurora DB cluster used by the target group.
+ */
+ MaxConnectionsPercent?: Integer;
+ /**
+ * Controls how actively the proxy closes idle database connections in the connection pool. A high value enables the proxy to leave a high percentage of idle connections open. A low value causes the proxy to close idle client connections and return the underlying database connections to the connection pool. For Aurora MySQL, it is expressed as a percentage of the max_connections setting for the RDS DB instance or Aurora DB cluster used by the target group.
+ */
+ MaxIdleConnectionsPercent?: Integer;
+ /**
+ * The number of seconds for a proxy to wait for a connection to become available in the connection pool. Only applies when the proxy has opened its maximum number of connections and all connections are busy with client sessions.
+ */
+ ConnectionBorrowTimeout?: Integer;
+ /**
+ * Each item in the list represents a class of SQL operations that normally cause all later statements in a session using a proxy to be pinned to the same underlying database connection. Including an item in the list exempts that class of SQL operations from the pinning behavior. Currently, the only allowed value is EXCLUDE_VARIABLE_SETS.
+ */
+ SessionPinningFilters?: StringList;
+ /**
+ * One or more SQL statements for the proxy to run when opening each new database connection. Typically used with SET statements to make sure that each connection has identical settings such as time zone and character set. This setting is empty by default. For multiple statements, use semicolons as the separator. You can also include multiple variables in a single SET statement, such as SET x=1, y=2.
+ */
+ InitQuery?: String;
+ }
export interface CopyDBClusterParameterGroupMessage {
/**
* The identifier or Amazon Resource Name (ARN) for the source DB cluster parameter group. For information about creating an ARN, see Constructing an ARN for Amazon RDS in the Amazon Aurora User Guide. Constraints: Must specify a valid DB cluster parameter group. If the source DB cluster parameter group is in the same AWS Region as the copy, specify a valid DB parameter group identifier, for example my-db-cluster-param-group, or a valid ARN. If the source DB parameter group is in a different AWS Region than the copy, specify a valid DB cluster parameter group ARN, for example arn:aws:rds:us-east-1:123456789012:cluster-pg:custom-cluster-group1.
@@ -1888,6 +2005,54 @@ declare namespace RDS {
export interface CreateDBParameterGroupResult {
DBParameterGroup?: DBParameterGroup;
}
+ export interface CreateDBProxyRequest {
+ /**
+ * The identifier for the proxy. This name must be unique for all proxies owned by your AWS account in the specified AWS Region. An identifier must begin with a letter and must contain only ASCII letters, digits, and hyphens; it can't end with a hyphen or contain two consecutive hyphens.
+ */
+ DBProxyName: String;
+ /**
+ * The kinds of databases that the proxy can connect to. This value determines which database network protocol the proxy recognizes when it interprets network traffic to and from the database. Currently, this value is always MYSQL. The engine family applies to both RDS MySQL and Aurora MySQL.
+ */
+ EngineFamily: EngineFamily;
+ /**
+ * The authorization mechanism that the proxy uses.
+ */
+ Auth: UserAuthConfigList;
+ /**
+ * The Amazon Resource Name (ARN) of the IAM role that the proxy uses to access secrets in AWS Secrets Manager.
+ */
+ RoleArn: String;
+ /**
+ * One or more VPC subnet IDs to associate with the new proxy.
+ */
+ VpcSubnetIds: StringList;
+ /**
+ * One or more VPC security group IDs to associate with the new proxy.
+ */
+ VpcSecurityGroupIds?: StringList;
+ /**
+ * A Boolean parameter that specifies whether Transport Layer Security (TLS) encryption is required for connections to the proxy. By enabling this setting, you can enforce encrypted TLS connections to the proxy.
+ */
+ RequireTLS?: Boolean;
+ /**
+ * The number of seconds that a connection to the proxy can be inactive before the proxy disconnects it. You can set this value higher or lower than the connection timeout limit for the associated database.
+ */
+ IdleClientTimeout?: IntegerOptional;
+ /**
+ * Whether the proxy includes detailed information about SQL statements in its logs. This information helps you to debug issues involving SQL behavior or the performance and scalability of the proxy connections. The debug information includes the text of SQL statements that you submit through the proxy. Thus, only enable this setting when needed for debugging, and only when you have security measures in place to safeguard any sensitive information that appears in the logs.
+ */
+ DebugLogging?: Boolean;
+ /**
+ * An optional set of key-value pairs to associate arbitrary data of your choosing with the proxy.
+ */
+ Tags?: TagList;
+ }
+ export interface CreateDBProxyResponse {
+ /**
+ * The DBProxy structure corresponding to the new proxy.
+ */
+ DBProxy?: DBProxy;
+ }
export interface CreateDBSecurityGroupMessage {
/**
* The name for the DB security group. This value is stored as a lowercase string. Constraints: Must be 1 to 255 letters, numbers, or hyphens. First character must be a letter Can't end with a hyphen or contain two consecutive hyphens Must not be "Default" Example: mysecuritygroup
@@ -3100,6 +3265,126 @@ declare namespace RDS {
*/
DBParameterGroups?: DBParameterGroupList;
}
+ export interface DBProxy {
+ /**
+ * The identifier for the proxy. This name must be unique for all proxies owned by your AWS account in the specified AWS Region.
+ */
+ DBProxyName?: String;
+ /**
+ * The Amazon Resource Name (ARN) for the proxy.
+ */
+ DBProxyArn?: String;
+ /**
+ * The current status of this proxy. A status of available means the proxy is ready to handle requests. Other values indicate that you must wait for the proxy to be ready, or take some action to resolve an issue.
+ */
+ Status?: DBProxyStatus;
+ /**
+ * Currently, this value is always MYSQL. The engine family applies to both RDS MySQL and Aurora MySQL.
+ */
+ EngineFamily?: String;
+ /**
+ * Provides a list of VPC security groups that the proxy belongs to.
+ */
+ VpcSecurityGroupIds?: StringList;
+ /**
+ * The EC2 subnet IDs for the proxy.
+ */
+ VpcSubnetIds?: StringList;
+ /**
+ * One or more data structures specifying the authorization mechanism to connect to the associated RDS DB instance or Aurora DB cluster.
+ */
+ Auth?: UserAuthConfigInfoList;
+ /**
+ * The Amazon Resource Name (ARN) for the IAM role that the proxy uses to access Amazon Secrets Manager.
+ */
+ RoleArn?: String;
+ /**
+ * The endpoint that you can use to connect to the proxy. You include the endpoint value in the connection string for a database client application.
+ */
+ Endpoint?: String;
+ /**
+ * Indicates whether Transport Layer Security (TLS) encryption is required for connections to the proxy.
+ */
+ RequireTLS?: Boolean;
+ /**
+ * The number of seconds a connection to the proxy can have no activity before the proxy drops the client connection. The proxy keeps the underlying database connection open and puts it back into the connection pool for reuse by later connection requests. Default: 1800 (30 minutes) Constraints: 1 to 28,800
+ */
+ IdleClientTimeout?: Integer;
+ /**
+ * Whether the proxy includes detailed information about SQL statements in its logs. This information helps you to debug issues involving SQL behavior or the performance and scalability of the proxy connections. The debug information includes the text of SQL statements that you submit through the proxy. Thus, only enable this setting when needed for debugging, and only when you have security measures in place to safeguard any sensitive information that appears in the logs.
+ */
+ DebugLogging?: Boolean;
+ /**
+ * The date and time when the proxy was first created.
+ */
+ CreatedDate?: TStamp;
+ /**
+ * The date and time when the proxy was last updated.
+ */
+ UpdatedDate?: TStamp;
+ }
+ export type DBProxyList = DBProxy[];
+ export type DBProxyStatus = "available"|"modifying"|"incompatible-network"|"insufficient-resource-limits"|"creating"|"deleting"|string;
+ export interface DBProxyTarget {
+ /**
+ * The Amazon Resource Name (ARN) for the RDS DB instance or Aurora DB cluster.
+ */
+ TargetArn?: String;
+ /**
+ * The writer endpoint for the RDS DB instance or Aurora DB cluster.
+ */
+ Endpoint?: String;
+ /**
+ * The DB cluster identifier when the target represents an Aurora DB cluster. This field is blank when the target represents an
+ */
+ TrackedClusterId?: String;
+ /**
+ * The identifier representing the target. It can be the instance identifier for an RDS DB instance, or the cluster identifier for an Aurora DB cluster.
+ */
+ RdsResourceId?: String;
+ /**
+ * The port that the RDS Proxy uses to connect to the target RDS DB instance or Aurora DB cluster.
+ */
+ Port?: Integer;
+ /**
+ * Specifies the kind of database, such as an RDS DB instance or an Aurora DB cluster, that the target represents.
+ */
+ Type?: TargetType;
+ }
+ export interface DBProxyTargetGroup {
+ /**
+ * The identifier for the RDS proxy associated with this target group.
+ */
+ DBProxyName?: String;
+ /**
+ * The identifier for the target group. This name must be unique for all target groups owned by your AWS account in the specified AWS Region.
+ */
+ TargetGroupName?: String;
+ /**
+ * The Amazon Resource Name (ARN) representing the target group.
+ */
+ TargetGroupArn?: String;
+ /**
+ * Whether this target group is the first one used for connection requests by the associated proxy. Because each proxy is currently associated with a single target group, currently this setting is always true.
+ */
+ IsDefault?: Boolean;
+ /**
+ * The current status of this target group. A status of available means the target group is correctly associated with a database. Other values indicate that you must wait for the target group to be ready, or take some action to resolve an issue.
+ */
+ Status?: String;
+ /**
+ * The settings that determine the size and behavior of the connection pool for the target group.
+ */
+ ConnectionPoolConfig?: ConnectionPoolConfigurationInfo;
+ /**
+ * The date and time when the target group was first created.
+ */
+ CreatedDate?: TStamp;
+ /**
+ * The date and time when the target group was last updated.
+ */
+ UpdatedDate?: TStamp;
+ }
export interface DBSecurityGroup {
/**
* Provides the AWS ID of the owner of a specific DB security group.
@@ -3419,6 +3704,18 @@ declare namespace RDS {
*/
DBParameterGroupName: String;
}
+ export interface DeleteDBProxyRequest {
+ /**
+ * The name of the DB proxy to delete.
+ */
+ DBProxyName: String;
+ }
+ export interface DeleteDBProxyResponse {
+ /**
+ * The data structure representing the details of the DB proxy that you delete.
+ */
+ DBProxy?: DBProxy;
+ }
export interface DeleteDBSecurityGroupMessage {
/**
* The name of the DB security group to delete. You can't delete the default DB security group. Constraints: Must be 1 to 255 letters, numbers, or hyphens. First character must be a letter Can't end with a hyphen or contain two consecutive hyphens Must not be "Default"
@@ -3470,6 +3767,26 @@ declare namespace RDS {
*/
OptionGroupName: String;
}
+ export interface DeregisterDBProxyTargetsRequest {
+ /**
+ * The identifier of the DBProxy that is associated with the DBProxyTargetGroup.
+ */
+ DBProxyName: String;
+ /**
+ * The identifier of the DBProxyTargetGroup.
+ */
+ TargetGroupName?: String;
+ /**
+ * One or more DB instance identifiers.
+ */
+ DBInstanceIdentifiers?: StringList;
+ /**
+ * One or more DB cluster identifiers.
+ */
+ DBClusterIdentifiers?: StringList;
+ }
+ export interface DeregisterDBProxyTargetsResponse {
+ }
export interface DescribeAccountAttributesMessage {
}
export interface DescribeCertificatesMessage {
@@ -3834,6 +4151,98 @@ declare namespace RDS {
*/
Marker?: String;
}
+ export interface DescribeDBProxiesRequest {
+ /**
+ * The name of the DB proxy.
+ */
+ DBProxyName?: String;
+ /**
+ * This parameter is not currently supported.
+ */
+ Filters?: FilterList;
+ /**
+ * An optional pagination token provided by a previous request. If this parameter is specified, the response includes only records beyond the marker, up to the value specified by MaxRecords.
+ */
+ Marker?: String;
+ /**
+ * The maximum number of records to include in the response. If more records exist than the specified MaxRecords value, a pagination token called a marker is included in the response so that the remaining results can be retrieved. Default: 100 Constraints: Minimum 20, maximum 100.
+ */
+ MaxRecords?: MaxRecords;
+ }
+ export interface DescribeDBProxiesResponse {
+ /**
+ * A return value representing an arbitrary number of DBProxy data structures.
+ */
+ DBProxies?: DBProxyList;
+ /**
+ * An optional pagination token provided by a previous request. If this parameter is specified, the response includes only records beyond the marker, up to the value specified by MaxRecords.
+ */
+ Marker?: String;
+ }
+ export interface DescribeDBProxyTargetGroupsRequest {
+ /**
+ * The identifier of the DBProxy associated with the target group.
+ */
+ DBProxyName: String;
+ /**
+ * The identifier of the DBProxyTargetGroup to describe.
+ */
+ TargetGroupName?: String;
+ /**
+ * This parameter is not currently supported.
+ */
+ Filters?: FilterList;
+ /**
+ * An optional pagination token provided by a previous request. If this parameter is specified, the response includes only records beyond the marker, up to the value specified by MaxRecords.
+ */
+ Marker?: String;
+ /**
+ * The maximum number of records to include in the response. If more records exist than the specified MaxRecords value, a pagination token called a marker is included in the response so that the remaining results can be retrieved. Default: 100 Constraints: Minimum 20, maximum 100.
+ */
+ MaxRecords?: MaxRecords;
+ }
+ export interface DescribeDBProxyTargetGroupsResponse {
+ /**
+ * An arbitrary number of DBProxyTargetGroup objects, containing details of the corresponding target groups.
+ */
+ TargetGroups?: TargetGroupList;
+ /**
+ * An optional pagination token provided by a previous request. If this parameter is specified, the response includes only records beyond the marker, up to the value specified by MaxRecords.
+ */
+ Marker?: String;
+ }
+ export interface DescribeDBProxyTargetsRequest {
+ /**
+ * The identifier of the DBProxyTarget to describe.
+ */
+ DBProxyName: String;
+ /**
+ * The identifier of the DBProxyTargetGroup to describe.
+ */
+ TargetGroupName?: String;
+ /**
+ * This parameter is not currently supported.
+ */
+ Filters?: FilterList;
+ /**
+ * An optional pagination token provided by a previous request. If this parameter is specified, the response includes only records beyond the marker, up to the value specified by MaxRecords.
+ */
+ Marker?: String;
+ /**
+ * The maximum number of records to include in the response. If more records exist than the specified MaxRecords value, a pagination token called a marker is included in the response so that the remaining results can be retrieved. Default: 100 Constraints: Minimum 20, maximum 100.
+ */
+ MaxRecords?: MaxRecords;
+ }
+ export interface DescribeDBProxyTargetsResponse {
+ /**
+ * An arbitrary number of DBProxyTarget objects, containing details of the corresponding targets.
+ */
+ Targets?: TargetList;
+ /**
+ * An optional pagination token provided by a previous request. If this parameter is specified, the response includes only records beyond the marker, up to the value specified by MaxRecords.
+ */
+ Marker?: String;
+ }
export interface DescribeDBSecurityGroupsMessage {
/**
* The name of the DB security group to return details for.
@@ -4383,6 +4792,7 @@ declare namespace RDS {
*/
Parameters?: ParametersList;
}
+ export type EngineFamily = "MYSQL"|string;
export type EngineModeList = String[];
export interface Event {
/**
@@ -4586,6 +4996,7 @@ declare namespace RDS {
*/
GlobalClusters?: GlobalClusterList;
}
+ export type IAMAuthMode = "DISABLED"|"REQUIRED"|string;
export interface IPRange {
/**
* Specifies the status of the IP range. Status can be "authorizing", "authorized", "revoking", and "revoked".
@@ -4686,6 +5097,7 @@ declare namespace RDS {
export type LogTypeList = String[];
export type Long = number;
export type LongOptional = number;
+ export type MaxRecords = number;
export interface MinimumEngineVersionPerAllowedValue {
/**
* The allowed value for an option setting.
@@ -5032,6 +5444,70 @@ declare namespace RDS {
*/
Parameters: ParametersList;
}
+ export interface ModifyDBProxyRequest {
+ /**
+ * The identifier for the DBProxy to modify.
+ */
+ DBProxyName: String;
+ /**
+ * The new identifier for the DBProxy. An identifier must begin with a letter and must contain only ASCII letters, digits, and hyphens; it can't end with a hyphen or contain two consecutive hyphens.
+ */
+ NewDBProxyName?: String;
+ /**
+ * The new authentication settings for the DBProxy.
+ */
+ Auth?: UserAuthConfigList;
+ /**
+ * Whether Transport Layer Security (TLS) encryption is required for connections to the proxy. By enabling this setting, you can enforce encrypted TLS connections to the proxy, even if the associated database doesn't use TLS.
+ */
+ RequireTLS?: BooleanOptional;
+ /**
+ * The number of seconds that a connection to the proxy can be inactive before the proxy disconnects it. You can set this value higher or lower than the connection timeout limit for the associated database.
+ */
+ IdleClientTimeout?: IntegerOptional;
+ /**
+ * Whether the proxy includes detailed information about SQL statements in its logs. This information helps you to debug issues involving SQL behavior or the performance and scalability of the proxy connections. The debug information includes the text of SQL statements that you submit through the proxy. Thus, only enable this setting when needed for debugging, and only when you have security measures in place to safeguard any sensitive information that appears in the logs.
+ */
+ DebugLogging?: BooleanOptional;
+ /**
+ * The Amazon Resource Name (ARN) of the IAM role that the proxy uses to access secrets in AWS Secrets Manager.
+ */
+ RoleArn?: String;
+ /**
+ * The new list of security groups for the DBProxy.
+ */
+ SecurityGroups?: StringList;
+ }
+ export interface ModifyDBProxyResponse {
+ /**
+ * The DBProxy object representing the new settings for the proxy.
+ */
+ DBProxy?: DBProxy;
+ }
+ export interface ModifyDBProxyTargetGroupRequest {
+ /**
+ * The name of the new target group to assign to the proxy.
+ */
+ TargetGroupName: String;
+ /**
+ * The name of the new proxy to which to assign the target group.
+ */
+ DBProxyName: String;
+ /**
+ * The settings that determine the size and behavior of the connection pool for the target group.
+ */
+ ConnectionPoolConfig?: ConnectionPoolConfiguration;
+ /**
+ * The new name for the modified DBProxyTarget. An identifier must begin with a letter and must contain only ASCII letters, digits, and hyphens; it can't end with a hyphen or contain two consecutive hyphens.
+ */
+ NewName?: String;
+ }
+ export interface ModifyDBProxyTargetGroupResponse {
+ /**
+ * The settings of the modified DBProxyTarget.
+ */
+ DBProxyTargetGroup?: DBProxyTargetGroup;
+ }
export interface ModifyDBSnapshotAttributeMessage {
/**
* The identifier for the DB snapshot to modify the attributes for.
@@ -5796,6 +6272,30 @@ declare namespace RDS {
RecurringChargeFrequency?: String;
}
export type RecurringChargeList = RecurringCharge[];
+ export interface RegisterDBProxyTargetsRequest {
+ /**
+ * The identifier of the DBProxy that is associated with the DBProxyTargetGroup.
+ */
+ DBProxyName: String;
+ /**
+ * The identifier of the DBProxyTargetGroup.
+ */
+ TargetGroupName?: String;
+ /**
+ * One or more DB instance identifiers.
+ */
+ DBInstanceIdentifiers?: StringList;
+ /**
+ * One or more DB cluster identifiers.
+ */
+ DBClusterIdentifiers?: StringList;
+ }
+ export interface RegisterDBProxyTargetsResponse {
+ /**
+ * One or more DBProxyTarget objects that are created when you register targets with a target group.
+ */
+ DBProxyTargets?: TargetList;
+ }
export interface RemoveFromGlobalClusterMessage {
/**
* The cluster identifier to detach from the Aurora global database cluster.
@@ -6964,6 +7464,9 @@ declare namespace RDS {
*/
TagList?: TagList;
}
+ export type TargetGroupList = DBProxyTargetGroup[];
+ export type TargetList = DBProxyTarget[];
+ export type TargetType = "RDS_INSTANCE"|"RDS_SERVERLESS_ENDPOINT"|"TRACKED_CLUSTER"|string;
export interface Timezone {
/**
* The name of the time zone.
@@ -6992,6 +7495,52 @@ declare namespace RDS {
*/
IsMajorVersionUpgrade?: Boolean;
}
+ export interface UserAuthConfig {
+ /**
+ * A user-specified description about the authentication used by a proxy to log in as a specific database user.
+ */
+ Description?: String;
+ /**
+ * The name of the database user to which the proxy connects.
+ */
+ UserName?: String;
+ /**
+ * The type of authentication that the proxy uses for connections from the proxy to the underlying database.
+ */
+ AuthScheme?: AuthScheme;
+ /**
+ * The Amazon Resource Name (ARN) representing the secret that the proxy uses to authenticate to the RDS DB instance or Aurora DB cluster. These secrets are stored within Amazon Secrets Manager.
+ */
+ SecretArn?: String;
+ /**
+ * Whether to require or disallow AWS Identity and Access Management (IAM) authentication for connections to the proxy.
+ */
+ IAMAuth?: IAMAuthMode;
+ }
+ export interface UserAuthConfigInfo {
+ /**
+ * A user-specified description about the authentication used by a proxy to log in as a specific database user.
+ */
+ Description?: String;
+ /**
+ * The name of the database user to which the proxy connects.
+ */
+ UserName?: String;
+ /**
+ * The type of authentication that the proxy uses for connections from the proxy to the underlying database.
+ */
+ AuthScheme?: AuthScheme;
+ /**
+ * The Amazon Resource Name (ARN) representing the secret that the proxy uses to authenticate to the RDS DB instance or Aurora DB cluster. These secrets are stored within Amazon Secrets Manager.
+ */
+ SecretArn?: String;
+ /**
+ * Whether to require or disallow AWS Identity and Access Management (IAM) authentication for connections to the proxy.
+ */
+ IAMAuth?: IAMAuthMode;
+ }
+ export type UserAuthConfigInfoList = UserAuthConfigInfo[];
+ export type UserAuthConfigList = UserAuthConfig[];
export interface ValidDBInstanceModificationsMessage {
/**
* Valid storage options for your DB instance.
diff --git a/clients/rekognition.d.ts b/clients/rekognition.d.ts
index af593ce560..30cbdf3391 100644
--- a/clients/rekognition.d.ts
+++ b/clients/rekognition.d.ts
@@ -2,6 +2,7 @@ import {Request} from '../lib/request';
import {Response} from '../lib/response';
import {AWSError} from '../lib/error';
import {Service} from '../lib/service';
+import {WaiterConfiguration} from '../lib/service';
import {ServiceConfigurationOptions} from '../lib/service';
import {ConfigBase as Config} from '../lib/config';
interface Blob {}
@@ -12,11 +13,11 @@ declare class Rekognition extends Service {
constructor(options?: Rekognition.Types.ClientConfiguration)
config: Config & Rekognition.Types.ClientConfiguration;
/**
- * Compares a face in the source input image with each of the 100 largest faces detected in the target input image. If the source image contains multiple faces, the service detects the largest face and compares it with each face detected in the target image. You pass the input and target images either as base64-encoded image bytes or as references to images in an Amazon S3 bucket. If you use the AWS CLI to call Amazon Rekognition operations, passing image bytes isn't supported. The image must be formatted as a PNG or JPEG file. In response, the operation returns an array of face matches ordered by similarity score in descending order. For each face match, the response provides a bounding box of the face, facial landmarks, pose details (pitch, role, and yaw), quality (brightness and sharpness), and confidence value (indicating the level of confidence that the bounding box contains a face). The response also provides a similarity score, which indicates how closely the faces match. By default, only faces with a similarity score of greater than or equal to 80% are returned in the response. You can change this value by specifying the SimilarityThreshold parameter. CompareFaces also returns an array of faces that don't match the source image. For each face, it returns a bounding box, confidence value, landmarks, pose details, and quality. The response also returns information about the face in the source image, including the bounding box of the face and confidence value. The QualityFilter input parameter allows you to filter out detected faces that don’t meet a required quality bar. The quality bar is based on a variety of common use cases. By default, CompareFaces chooses the quality bar that's used to filter faces. You can also explicitly choose the quality bar. Use QualityFilter, to set the quality bar by specifying LOW, MEDIUM, or HIGH. If you do not want to filter detected faces, specify NONE. To use quality filtering, you need a collection associated with version 3 of the face model or higher. To get the version of the face model associated with a collection, call DescribeCollection. If the image doesn't contain Exif metadata, CompareFaces returns orientation information for the source and target images. Use these values to display the images with the correct image orientation. If no faces are detected in the source or target images, CompareFaces returns an InvalidParameterException error. This is a stateless API operation. That is, data returned by this operation doesn't persist. For an example, see Comparing Faces in Images in the Amazon Rekognition Developer Guide. This operation requires permissions to perform the rekognition:CompareFaces action.
+ * Compares a face in the source input image with each of the 100 largest faces detected in the target input image. If the source image contains multiple faces, the service detects the largest face and compares it with each face detected in the target image. You pass the input and target images either as base64-encoded image bytes or as references to images in an Amazon S3 bucket. If you use the AWS CLI to call Amazon Rekognition operations, passing image bytes isn't supported. The image must be formatted as a PNG or JPEG file. In response, the operation returns an array of face matches ordered by similarity score in descending order. For each face match, the response provides a bounding box of the face, facial landmarks, pose details (pitch, role, and yaw), quality (brightness and sharpness), and confidence value (indicating the level of confidence that the bounding box contains a face). The response also provides a similarity score, which indicates how closely the faces match. By default, only faces with a similarity score of greater than or equal to 80% are returned in the response. You can change this value by specifying the SimilarityThreshold parameter. CompareFaces also returns an array of faces that don't match the source image. For each face, it returns a bounding box, confidence value, landmarks, pose details, and quality. The response also returns information about the face in the source image, including the bounding box of the face and confidence value. The QualityFilter input parameter allows you to filter out detected faces that don’t meet a required quality bar. The quality bar is based on a variety of common use cases. Use QualityFilter to set the quality bar by specifying LOW, MEDIUM, or HIGH. If you do not want to filter detected faces, specify NONE. The default value is NONE. To use quality filtering, you need a collection associated with version 3 of the face model or higher. To get the version of the face model associated with a collection, call DescribeCollection. If the image doesn't contain Exif metadata, CompareFaces returns orientation information for the source and target images. Use these values to display the images with the correct image orientation. If no faces are detected in the source or target images, CompareFaces returns an InvalidParameterException error. This is a stateless API operation. That is, data returned by this operation doesn't persist. For an example, see Comparing Faces in Images in the Amazon Rekognition Developer Guide. This operation requires permissions to perform the rekognition:CompareFaces action.
*/
compareFaces(params: Rekognition.Types.CompareFacesRequest, callback?: (err: AWSError, data: Rekognition.Types.CompareFacesResponse) => void): Request;
/**
- * Compares a face in the source input image with each of the 100 largest faces detected in the target input image. If the source image contains multiple faces, the service detects the largest face and compares it with each face detected in the target image. You pass the input and target images either as base64-encoded image bytes or as references to images in an Amazon S3 bucket. If you use the AWS CLI to call Amazon Rekognition operations, passing image bytes isn't supported. The image must be formatted as a PNG or JPEG file. In response, the operation returns an array of face matches ordered by similarity score in descending order. For each face match, the response provides a bounding box of the face, facial landmarks, pose details (pitch, role, and yaw), quality (brightness and sharpness), and confidence value (indicating the level of confidence that the bounding box contains a face). The response also provides a similarity score, which indicates how closely the faces match. By default, only faces with a similarity score of greater than or equal to 80% are returned in the response. You can change this value by specifying the SimilarityThreshold parameter. CompareFaces also returns an array of faces that don't match the source image. For each face, it returns a bounding box, confidence value, landmarks, pose details, and quality. The response also returns information about the face in the source image, including the bounding box of the face and confidence value. The QualityFilter input parameter allows you to filter out detected faces that don’t meet a required quality bar. The quality bar is based on a variety of common use cases. By default, CompareFaces chooses the quality bar that's used to filter faces. You can also explicitly choose the quality bar. Use QualityFilter, to set the quality bar by specifying LOW, MEDIUM, or HIGH. If you do not want to filter detected faces, specify NONE. To use quality filtering, you need a collection associated with version 3 of the face model or higher. To get the version of the face model associated with a collection, call DescribeCollection. If the image doesn't contain Exif metadata, CompareFaces returns orientation information for the source and target images. Use these values to display the images with the correct image orientation. If no faces are detected in the source or target images, CompareFaces returns an InvalidParameterException error. This is a stateless API operation. That is, data returned by this operation doesn't persist. For an example, see Comparing Faces in Images in the Amazon Rekognition Developer Guide. This operation requires permissions to perform the rekognition:CompareFaces action.
+ * Compares a face in the source input image with each of the 100 largest faces detected in the target input image. If the source image contains multiple faces, the service detects the largest face and compares it with each face detected in the target image. You pass the input and target images either as base64-encoded image bytes or as references to images in an Amazon S3 bucket. If you use the AWS CLI to call Amazon Rekognition operations, passing image bytes isn't supported. The image must be formatted as a PNG or JPEG file. In response, the operation returns an array of face matches ordered by similarity score in descending order. For each face match, the response provides a bounding box of the face, facial landmarks, pose details (pitch, role, and yaw), quality (brightness and sharpness), and confidence value (indicating the level of confidence that the bounding box contains a face). The response also provides a similarity score, which indicates how closely the faces match. By default, only faces with a similarity score of greater than or equal to 80% are returned in the response. You can change this value by specifying the SimilarityThreshold parameter. CompareFaces also returns an array of faces that don't match the source image. For each face, it returns a bounding box, confidence value, landmarks, pose details, and quality. The response also returns information about the face in the source image, including the bounding box of the face and confidence value. The QualityFilter input parameter allows you to filter out detected faces that don’t meet a required quality bar. The quality bar is based on a variety of common use cases. Use QualityFilter to set the quality bar by specifying LOW, MEDIUM, or HIGH. If you do not want to filter detected faces, specify NONE. The default value is NONE. To use quality filtering, you need a collection associated with version 3 of the face model or higher. To get the version of the face model associated with a collection, call DescribeCollection. If the image doesn't contain Exif metadata, CompareFaces returns orientation information for the source and target images. Use these values to display the images with the correct image orientation. If no faces are detected in the source or target images, CompareFaces returns an InvalidParameterException error. This is a stateless API operation. That is, data returned by this operation doesn't persist. For an example, see Comparing Faces in Images in the Amazon Rekognition Developer Guide. This operation requires permissions to perform the rekognition:CompareFaces action.
*/
compareFaces(callback?: (err: AWSError, data: Rekognition.Types.CompareFacesResponse) => void): Request;
/**
@@ -27,6 +28,22 @@ declare class Rekognition extends Service {
* Creates a collection in an AWS Region. You can add faces to the collection using the IndexFaces operation. For example, you might create collections, one for each of your application users. A user can then index faces using the IndexFaces operation and persist results in a specific collection. Then, a user can search the collection for faces in the user-specific container. When you create a collection, it is associated with the latest version of the face model version. Collection names are case-sensitive. This operation requires permissions to perform the rekognition:CreateCollection action.
*/
createCollection(callback?: (err: AWSError, data: Rekognition.Types.CreateCollectionResponse) => void): Request;
+ /**
+ * Creates a new Amazon Rekognition Custom Labels project. A project is a logical grouping of resources (images, Labels, models) and operations (training, evaluation and detection). This operation requires permissions to perform the rekognition:CreateProject action.
+ */
+ createProject(params: Rekognition.Types.CreateProjectRequest, callback?: (err: AWSError, data: Rekognition.Types.CreateProjectResponse) => void): Request;
+ /**
+ * Creates a new Amazon Rekognition Custom Labels project. A project is a logical grouping of resources (images, Labels, models) and operations (training, evaluation and detection). This operation requires permissions to perform the rekognition:CreateProject action.
+ */
+ createProject(callback?: (err: AWSError, data: Rekognition.Types.CreateProjectResponse) => void): Request;
+ /**
+ * Creates a new version of a model and begins training. Models are managed as part of an Amazon Rekognition Custom Labels project. You can specify one training dataset and one testing dataset. The response from CreateProjectVersion is an Amazon Resource Name (ARN) for the version of the model. Training takes a while to complete. You can get the current status by calling DescribeProjectVersions. Once training has successfully completed, call DescribeProjectVersions to get the training results and evaluate the model. After evaluating the model, you start the model by calling StartProjectVersion. This operation requires permissions to perform the rekognition:CreateProjectVersion action.
+ */
+ createProjectVersion(params: Rekognition.Types.CreateProjectVersionRequest, callback?: (err: AWSError, data: Rekognition.Types.CreateProjectVersionResponse) => void): Request;
+ /**
+ * Creates a new version of a model and begins training. Models are managed as part of an Amazon Rekognition Custom Labels project. You can specify one training dataset and one testing dataset. The response from CreateProjectVersion is an Amazon Resource Name (ARN) for the version of the model. Training takes a while to complete. You can get the current status by calling DescribeProjectVersions. Once training has successfully completed, call DescribeProjectVersions to get the training results and evaluate the model. After evaluating the model, you start the model by calling StartProjectVersion. This operation requires permissions to perform the rekognition:CreateProjectVersion action.
+ */
+ createProjectVersion(callback?: (err: AWSError, data: Rekognition.Types.CreateProjectVersionResponse) => void): Request;
/**
* Creates an Amazon Rekognition stream processor that you can use to detect and recognize faces in a streaming video. Amazon Rekognition Video is a consumer of live video from Amazon Kinesis Video Streams. Amazon Rekognition Video sends analysis results to Amazon Kinesis Data Streams. You provide as input a Kinesis video stream (Input) and a Kinesis data stream (Output) stream. You also specify the face recognition criteria in Settings. For example, the collection containing faces that you want to recognize. Use Name to assign an identifier for the stream processor. You use Name to manage the stream processor. For example, you can start processing the source video by calling StartStreamProcessor with the Name field. After you have finished analyzing a streaming video, use StopStreamProcessor to stop processing. You can delete the stream processor by calling DeleteStreamProcessor.
*/
@@ -67,6 +84,22 @@ declare class Rekognition extends Service {
* Describes the specified collection. You can use DescribeCollection to get information, such as the number of faces indexed into a collection and the version of the model used by the collection for face detection. For more information, see Describing a Collection in the Amazon Rekognition Developer Guide.
*/
describeCollection(callback?: (err: AWSError, data: Rekognition.Types.DescribeCollectionResponse) => void): Request;
+ /**
+ * Lists and describes the models in an Amazon Rekognition Custom Labels project. You can specify up to 10 model versions in ProjectVersionArns. If you don't specify a value, descriptions for all models are returned. This operation requires permissions to perform the rekognition:DescribeProjectVersions action.
+ */
+ describeProjectVersions(params: Rekognition.Types.DescribeProjectVersionsRequest, callback?: (err: AWSError, data: Rekognition.Types.DescribeProjectVersionsResponse) => void): Request;
+ /**
+ * Lists and describes the models in an Amazon Rekognition Custom Labels project. You can specify up to 10 model versions in ProjectVersionArns. If you don't specify a value, descriptions for all models are returned. This operation requires permissions to perform the rekognition:DescribeProjectVersions action.
+ */
+ describeProjectVersions(callback?: (err: AWSError, data: Rekognition.Types.DescribeProjectVersionsResponse) => void): Request;
+ /**
+ * Lists and gets information about your Amazon Rekognition Custom Labels projects. This operation requires permissions to perform the rekognition:DescribeProjects action.
+ */
+ describeProjects(params: Rekognition.Types.DescribeProjectsRequest, callback?: (err: AWSError, data: Rekognition.Types.DescribeProjectsResponse) => void): Request;
+ /**
+ * Lists and gets information about your Amazon Rekognition Custom Labels projects. This operation requires permissions to perform the rekognition:DescribeProjects action.
+ */
+ describeProjects(callback?: (err: AWSError, data: Rekognition.Types.DescribeProjectsResponse) => void): Request;
/**
* Provides information about a stream processor created by CreateStreamProcessor. You can get information about the input and output streams, the input parameters for the face recognition being performed, and the current status of the stream processor.
*/
@@ -75,6 +108,14 @@ declare class Rekognition extends Service {
* Provides information about a stream processor created by CreateStreamProcessor. You can get information about the input and output streams, the input parameters for the face recognition being performed, and the current status of the stream processor.
*/
describeStreamProcessor(callback?: (err: AWSError, data: Rekognition.Types.DescribeStreamProcessorResponse) => void): Request;
+ /**
+ * Detects custom labels in a supplied image by using an Amazon Rekognition Custom Labels model. You specify which version of a model version to use by using the ProjectVersionArn input parameter. You pass the input image as base64-encoded image bytes or as a reference to an image in an Amazon S3 bucket. If you use the AWS CLI to call Amazon Rekognition operations, passing image bytes is not supported. The image must be either a PNG or JPEG formatted file. For each object that the model version detects on an image, the API returns a (CustomLabel) object in an array (CustomLabels). Each CustomLabel object provides the label name (Name), the level of confidence that the image contains the object (Confidence), and object location information, if it exists, for the label on the image (Geometry). During training model calculates a threshold value that determines if a prediction for a label is true. By default, DetectCustomLabels doesn't return labels whose confidence value is below the model's calculated threshold value. To filter labels that are returned, specify a value for MinConfidence that is higher than the model's calculated threshold. You can get the model's calculated threshold from the model's training results shown in the Amazon Rekognition Custom Labels console. To get all labels, regardless of confidence, specify a MinConfidence value of 0. You can also add the MaxResults parameter to limit the number of labels returned. This is a stateless API operation. That is, the operation does not persist any data. This operation requires permissions to perform the rekognition:DetectCustomLabels action.
+ */
+ detectCustomLabels(params: Rekognition.Types.DetectCustomLabelsRequest, callback?: (err: AWSError, data: Rekognition.Types.DetectCustomLabelsResponse) => void): Request;
+ /**
+ * Detects custom labels in a supplied image by using an Amazon Rekognition Custom Labels model. You specify which version of a model version to use by using the ProjectVersionArn input parameter. You pass the input image as base64-encoded image bytes or as a reference to an image in an Amazon S3 bucket. If you use the AWS CLI to call Amazon Rekognition operations, passing image bytes is not supported. The image must be either a PNG or JPEG formatted file. For each object that the model version detects on an image, the API returns a (CustomLabel) object in an array (CustomLabels). Each CustomLabel object provides the label name (Name), the level of confidence that the image contains the object (Confidence), and object location information, if it exists, for the label on the image (Geometry). During training model calculates a threshold value that determines if a prediction for a label is true. By default, DetectCustomLabels doesn't return labels whose confidence value is below the model's calculated threshold value. To filter labels that are returned, specify a value for MinConfidence that is higher than the model's calculated threshold. You can get the model's calculated threshold from the model's training results shown in the Amazon Rekognition Custom Labels console. To get all labels, regardless of confidence, specify a MinConfidence value of 0. You can also add the MaxResults parameter to limit the number of labels returned. This is a stateless API operation. That is, the operation does not persist any data. This operation requires permissions to perform the rekognition:DetectCustomLabels action.
+ */
+ detectCustomLabels(callback?: (err: AWSError, data: Rekognition.Types.DetectCustomLabelsResponse) => void): Request;
/**
* Detects faces within an image that is provided as input. DetectFaces detects the 100 largest faces in the image. For each face detected, the operation returns face details. These details include a bounding box of the face, a confidence value (that the bounding box contains a face), and a fixed set of attributes such as facial landmarks (for example, coordinates of eye and mouth), presence of beard, sunglasses, and so on. The face-detection algorithm is most effective on frontal faces. For non-frontal or obscured faces, the algorithm might not detect the faces or might detect faces with lower confidence. You pass the input image either as base64-encoded image bytes or as a reference to an image in an Amazon S3 bucket. If you use the to call Amazon Rekognition operations, passing image bytes is not supported. The image must be either a PNG or JPEG formatted file. This is a stateless API operation. That is, the operation does not persist any data. This operation requires permissions to perform the rekognition:DetectFaces action.
*/
@@ -212,11 +253,11 @@ declare class Rekognition extends Service {
*/
searchFaces(callback?: (err: AWSError, data: Rekognition.Types.SearchFacesResponse) => void): Request;
/**
- * For a given input image, first detects the largest face in the image, and then searches the specified collection for matching faces. The operation compares the features of the input face with faces in the specified collection. To search for all faces in an input image, you might first call the IndexFaces operation, and then use the face IDs returned in subsequent calls to the SearchFaces operation. You can also call the DetectFaces operation and use the bounding boxes in the response to make face crops, which then you can pass in to the SearchFacesByImage operation. You pass the input image either as base64-encoded image bytes or as a reference to an image in an Amazon S3 bucket. If you use the AWS CLI to call Amazon Rekognition operations, passing image bytes is not supported. The image must be either a PNG or JPEG formatted file. The response returns an array of faces that match, ordered by similarity score with the highest similarity first. More specifically, it is an array of metadata for each face match found. Along with the metadata, the response also includes a similarity indicating how similar the face is to the input face. In the response, the operation also returns the bounding box (and a confidence level that the bounding box contains a face) of the face that Amazon Rekognition used for the input image. For an example, Searching for a Face Using an Image in the Amazon Rekognition Developer Guide. The QualityFilter input parameter allows you to filter out detected faces that don’t meet a required quality bar. The quality bar is based on a variety of common use cases. By default, Amazon Rekognition chooses the quality bar that's used to filter faces. You can also explicitly choose the quality bar. Use QualityFilter, to set the quality bar for filtering by specifying LOW, MEDIUM, or HIGH. If you do not want to filter detected faces, specify NONE. To use quality filtering, you need a collection associated with version 3 of the face model or higher. To get the version of the face model associated with a collection, call DescribeCollection. This operation requires permissions to perform the rekognition:SearchFacesByImage action.
+ * For a given input image, first detects the largest face in the image, and then searches the specified collection for matching faces. The operation compares the features of the input face with faces in the specified collection. To search for all faces in an input image, you might first call the IndexFaces operation, and then use the face IDs returned in subsequent calls to the SearchFaces operation. You can also call the DetectFaces operation and use the bounding boxes in the response to make face crops, which then you can pass in to the SearchFacesByImage operation. You pass the input image either as base64-encoded image bytes or as a reference to an image in an Amazon S3 bucket. If you use the AWS CLI to call Amazon Rekognition operations, passing image bytes is not supported. The image must be either a PNG or JPEG formatted file. The response returns an array of faces that match, ordered by similarity score with the highest similarity first. More specifically, it is an array of metadata for each face match found. Along with the metadata, the response also includes a similarity indicating how similar the face is to the input face. In the response, the operation also returns the bounding box (and a confidence level that the bounding box contains a face) of the face that Amazon Rekognition used for the input image. For an example, Searching for a Face Using an Image in the Amazon Rekognition Developer Guide. The QualityFilter input parameter allows you to filter out detected faces that don’t meet a required quality bar. The quality bar is based on a variety of common use cases. Use QualityFilter to set the quality bar for filtering by specifying LOW, MEDIUM, or HIGH. If you do not want to filter detected faces, specify NONE. The default value is NONE. To use quality filtering, you need a collection associated with version 3 of the face model or higher. To get the version of the face model associated with a collection, call DescribeCollection. This operation requires permissions to perform the rekognition:SearchFacesByImage action.
*/
searchFacesByImage(params: Rekognition.Types.SearchFacesByImageRequest, callback?: (err: AWSError, data: Rekognition.Types.SearchFacesByImageResponse) => void): Request;
/**
- * For a given input image, first detects the largest face in the image, and then searches the specified collection for matching faces. The operation compares the features of the input face with faces in the specified collection. To search for all faces in an input image, you might first call the IndexFaces operation, and then use the face IDs returned in subsequent calls to the SearchFaces operation. You can also call the DetectFaces operation and use the bounding boxes in the response to make face crops, which then you can pass in to the SearchFacesByImage operation. You pass the input image either as base64-encoded image bytes or as a reference to an image in an Amazon S3 bucket. If you use the AWS CLI to call Amazon Rekognition operations, passing image bytes is not supported. The image must be either a PNG or JPEG formatted file. The response returns an array of faces that match, ordered by similarity score with the highest similarity first. More specifically, it is an array of metadata for each face match found. Along with the metadata, the response also includes a similarity indicating how similar the face is to the input face. In the response, the operation also returns the bounding box (and a confidence level that the bounding box contains a face) of the face that Amazon Rekognition used for the input image. For an example, Searching for a Face Using an Image in the Amazon Rekognition Developer Guide. The QualityFilter input parameter allows you to filter out detected faces that don’t meet a required quality bar. The quality bar is based on a variety of common use cases. By default, Amazon Rekognition chooses the quality bar that's used to filter faces. You can also explicitly choose the quality bar. Use QualityFilter, to set the quality bar for filtering by specifying LOW, MEDIUM, or HIGH. If you do not want to filter detected faces, specify NONE. To use quality filtering, you need a collection associated with version 3 of the face model or higher. To get the version of the face model associated with a collection, call DescribeCollection. This operation requires permissions to perform the rekognition:SearchFacesByImage action.
+ * For a given input image, first detects the largest face in the image, and then searches the specified collection for matching faces. The operation compares the features of the input face with faces in the specified collection. To search for all faces in an input image, you might first call the IndexFaces operation, and then use the face IDs returned in subsequent calls to the SearchFaces operation. You can also call the DetectFaces operation and use the bounding boxes in the response to make face crops, which then you can pass in to the SearchFacesByImage operation. You pass the input image either as base64-encoded image bytes or as a reference to an image in an Amazon S3 bucket. If you use the AWS CLI to call Amazon Rekognition operations, passing image bytes is not supported. The image must be either a PNG or JPEG formatted file. The response returns an array of faces that match, ordered by similarity score with the highest similarity first. More specifically, it is an array of metadata for each face match found. Along with the metadata, the response also includes a similarity indicating how similar the face is to the input face. In the response, the operation also returns the bounding box (and a confidence level that the bounding box contains a face) of the face that Amazon Rekognition used for the input image. For an example, Searching for a Face Using an Image in the Amazon Rekognition Developer Guide. The QualityFilter input parameter allows you to filter out detected faces that don’t meet a required quality bar. The quality bar is based on a variety of common use cases. Use QualityFilter to set the quality bar for filtering by specifying LOW, MEDIUM, or HIGH. If you do not want to filter detected faces, specify NONE. The default value is NONE. To use quality filtering, you need a collection associated with version 3 of the face model or higher. To get the version of the face model associated with a collection, call DescribeCollection. This operation requires permissions to perform the rekognition:SearchFacesByImage action.
*/
searchFacesByImage(callback?: (err: AWSError, data: Rekognition.Types.SearchFacesByImageResponse) => void): Request;
/**
@@ -267,6 +308,14 @@ declare class Rekognition extends Service {
* Starts the asynchronous tracking of a person's path in a stored video. Amazon Rekognition Video can track the path of people in a video stored in an Amazon S3 bucket. Use Video to specify the bucket name and the filename of the video. StartPersonTracking returns a job identifier (JobId) which you use to get the results of the operation. When label detection is finished, Amazon Rekognition publishes a completion status to the Amazon Simple Notification Service topic that you specify in NotificationChannel. To get the results of the person detection operation, first check that the status value published to the Amazon SNS topic is SUCCEEDED. If so, call GetPersonTracking and pass the job identifier (JobId) from the initial call to StartPersonTracking.
*/
startPersonTracking(callback?: (err: AWSError, data: Rekognition.Types.StartPersonTrackingResponse) => void): Request;
+ /**
+ * Starts the running of the version of a model. Starting a model takes a while to complete. To check the current state of the model, use DescribeProjectVersions. Once the model is running, you can detect custom labels in new images by calling DetectCustomLabels. You are charged for the amount of time that the model is running. To stop a running model, call StopProjectVersion. This operation requires permissions to perform the rekognition:StartProjectVersion action.
+ */
+ startProjectVersion(params: Rekognition.Types.StartProjectVersionRequest, callback?: (err: AWSError, data: Rekognition.Types.StartProjectVersionResponse) => void): Request;
+ /**
+ * Starts the running of the version of a model. Starting a model takes a while to complete. To check the current state of the model, use DescribeProjectVersions. Once the model is running, you can detect custom labels in new images by calling DetectCustomLabels. You are charged for the amount of time that the model is running. To stop a running model, call StopProjectVersion. This operation requires permissions to perform the rekognition:StartProjectVersion action.
+ */
+ startProjectVersion(callback?: (err: AWSError, data: Rekognition.Types.StartProjectVersionResponse) => void): Request;
/**
* Starts processing a stream processor. You create a stream processor by calling CreateStreamProcessor. To tell StartStreamProcessor which stream processor to start, use the value of the Name field specified in the call to CreateStreamProcessor.
*/
@@ -275,6 +324,14 @@ declare class Rekognition extends Service {
* Starts processing a stream processor. You create a stream processor by calling CreateStreamProcessor. To tell StartStreamProcessor which stream processor to start, use the value of the Name field specified in the call to CreateStreamProcessor.
*/
startStreamProcessor(callback?: (err: AWSError, data: Rekognition.Types.StartStreamProcessorResponse) => void): Request;
+ /**
+ * Stops a running model. The operation might take a while to complete. To check the current status, call DescribeProjectVersions.
+ */
+ stopProjectVersion(params: Rekognition.Types.StopProjectVersionRequest, callback?: (err: AWSError, data: Rekognition.Types.StopProjectVersionResponse) => void): Request;
+ /**
+ * Stops a running model. The operation might take a while to complete. To check the current status, call DescribeProjectVersions.
+ */
+ stopProjectVersion(callback?: (err: AWSError, data: Rekognition.Types.StopProjectVersionResponse) => void): Request;
/**
* Stops a running stream processor that was created by CreateStreamProcessor.
*/
@@ -283,6 +340,22 @@ declare class Rekognition extends Service {
* Stops a running stream processor that was created by CreateStreamProcessor.
*/
stopStreamProcessor(callback?: (err: AWSError, data: Rekognition.Types.StopStreamProcessorResponse) => void): Request;
+ /**
+ * Waits for the projectVersionTrainingCompleted state by periodically calling the underlying Rekognition.describeProjectVersionsoperation every 120 seconds (at most 360 times). Wait until the ProjectVersion training completes.
+ */
+ waitFor(state: "projectVersionTrainingCompleted", params: Rekognition.Types.DescribeProjectVersionsRequest & {$waiter?: WaiterConfiguration}, callback?: (err: AWSError, data: Rekognition.Types.DescribeProjectVersionsResponse) => void): Request;
+ /**
+ * Waits for the projectVersionTrainingCompleted state by periodically calling the underlying Rekognition.describeProjectVersionsoperation every 120 seconds (at most 360 times). Wait until the ProjectVersion training completes.
+ */
+ waitFor(state: "projectVersionTrainingCompleted", callback?: (err: AWSError, data: Rekognition.Types.DescribeProjectVersionsResponse) => void): Request;
+ /**
+ * Waits for the projectVersionRunning state by periodically calling the underlying Rekognition.describeProjectVersionsoperation every 30 seconds (at most 40 times). Wait until the ProjectVersion is running.
+ */
+ waitFor(state: "projectVersionRunning", params: Rekognition.Types.DescribeProjectVersionsRequest & {$waiter?: WaiterConfiguration}, callback?: (err: AWSError, data: Rekognition.Types.DescribeProjectVersionsResponse) => void): Request;
+ /**
+ * Waits for the projectVersionRunning state by periodically calling the underlying Rekognition.describeProjectVersionsoperation every 30 seconds (at most 40 times). Wait until the ProjectVersion is running.
+ */
+ waitFor(state: "projectVersionRunning", callback?: (err: AWSError, data: Rekognition.Types.DescribeProjectVersionsResponse) => void): Request;
}
declare namespace Rekognition {
export interface AgeRange {
@@ -295,6 +368,10 @@ declare namespace Rekognition {
*/
High?: UInteger;
}
+ export interface Asset {
+ GroundTruthManifest?: GroundTruthManifest;
+ }
+ export type Assets = Asset[];
export type Attribute = "DEFAULT"|"ALL"|string;
export type Attributes = Attribute[];
export interface Beard {
@@ -415,7 +492,7 @@ declare namespace Rekognition {
*/
SimilarityThreshold?: Percent;
/**
- * A filter that specifies a quality bar for how much filtering is done to identify faces. Filtered faces aren't compared. If you specify AUTO, Amazon Rekognition chooses the quality bar. If you specify LOW, MEDIUM, or HIGH, filtering removes all faces that don’t meet the chosen quality bar. The default value is AUTO. The quality bar is based on a variety of common use cases. Low-quality detections can occur for a number of reasons. Some examples are an object that's misidentified as a face, a face that's too blurry, or a face with a pose that's too extreme to use. If you specify NONE, no filtering is performed. To use quality filtering, the collection you are using must be associated with version 3 of the face model or higher.
+ * A filter that specifies a quality bar for how much filtering is done to identify faces. Filtered faces aren't compared. If you specify AUTO, Amazon Rekognition chooses the quality bar. If you specify LOW, MEDIUM, or HIGH, filtering removes all faces that don’t meet the chosen quality bar. The quality bar is based on a variety of common use cases. Low-quality detections can occur for a number of reasons. Some examples are an object that's misidentified as a face, a face that's too blurry, or a face with a pose that's too extreme to use. If you specify NONE, no filtering is performed. The default value is NONE. To use quality filtering, the collection you are using must be associated with version 3 of the face model or higher.
*/
QualityFilter?: QualityFilter;
}
@@ -475,6 +552,8 @@ declare namespace Rekognition {
*/
Confidence?: Percent;
}
+ export type ContentClassifier = "FreeOfPersonallyIdentifiableInformation"|"FreeOfAdultContent"|string;
+ export type ContentClassifiers = ContentClassifier[];
export interface ContentModerationDetection {
/**
* Time, in milliseconds from the beginning of the video, that the unsafe content label was detected.
@@ -507,6 +586,46 @@ declare namespace Rekognition {
*/
FaceModelVersion?: String;
}
+ export interface CreateProjectRequest {
+ /**
+ * The name of the project to create.
+ */
+ ProjectName: ProjectName;
+ }
+ export interface CreateProjectResponse {
+ /**
+ * The Amazon Resource Name (ARN) of the new project. You can use the ARN to configure IAM access to the project.
+ */
+ ProjectArn?: ProjectArn;
+ }
+ export interface CreateProjectVersionRequest {
+ /**
+ * The ARN of the Amazon Rekognition Custom Labels project that manages the model that you want to train.
+ */
+ ProjectArn: ProjectArn;
+ /**
+ * A name for the version of the model. This value must be unique.
+ */
+ VersionName: VersionName;
+ /**
+ * The Amazon S3 location to store the results of training.
+ */
+ OutputConfig: OutputConfig;
+ /**
+ * The dataset to use for training.
+ */
+ TrainingData: TrainingData;
+ /**
+ * The dataset to use for testing.
+ */
+ TestingData: TestingData;
+ }
+ export interface CreateProjectVersionResponse {
+ /**
+ * The ARN of the model version that was created. Use DescribeProjectVersion to get the current status of the training operation.
+ */
+ ProjectVersionArn?: ProjectVersionArn;
+ }
export interface CreateStreamProcessorRequest {
/**
* Kinesis video stream stream that provides the source streaming video. If you are using the AWS CLI, the parameter name is StreamProcessorInput.
@@ -535,6 +654,21 @@ declare namespace Rekognition {
*/
StreamProcessorArn?: StreamProcessorArn;
}
+ export interface CustomLabel {
+ /**
+ * The name of the custom label.
+ */
+ Name?: String;
+ /**
+ * The confidence that the model has in the detection of the custom label. The range is 0-100. A higher value indicates a higher confidence.
+ */
+ Confidence?: Percent;
+ /**
+ * The location of the detected object on the image that corresponds to the custom label. Includes an axis aligned coarse bounding box surrounding the object and a finer grain polygon for more accurate spatial information.
+ */
+ Geometry?: Geometry;
+ }
+ export type CustomLabels = CustomLabel[];
export type DateTime = Date;
export type Degree = number;
export interface DeleteCollectionRequest {
@@ -597,6 +731,54 @@ declare namespace Rekognition {
*/
CreationTimestamp?: DateTime;
}
+ export interface DescribeProjectVersionsRequest {
+ /**
+ * The Amazon Resource Name (ARN) of the project that contains the models you want to describe.
+ */
+ ProjectArn: ProjectArn;
+ /**
+ * A list of model version names that you want to describe. You can add up to 10 model version names to the list. If you don't specify a value, all model descriptions are returned.
+ */
+ VersionNames?: VersionNames;
+ /**
+ * If the previous response was incomplete (because there is more results to retrieve), Amazon Rekognition Custom Labels returns a pagination token in the response. You can use this pagination token to retrieve the next set of results.
+ */
+ NextToken?: ExtendedPaginationToken;
+ /**
+ * The maximum number of results to return per paginated call. The largest value you can specify is 100. If you specify a value greater than 100, a ValidationException error occurs. The default value is 100.
+ */
+ MaxResults?: ProjectVersionsPageSize;
+ }
+ export interface DescribeProjectVersionsResponse {
+ /**
+ * A list of model descriptions. The list is sorted by the creation date and time of the model versions, latest to earliest.
+ */
+ ProjectVersionDescriptions?: ProjectVersionDescriptions;
+ /**
+ * If the previous response was incomplete (because there is more results to retrieve), Amazon Rekognition Custom Labels returns a pagination token in the response. You can use this pagination token to retrieve the next set of results.
+ */
+ NextToken?: ExtendedPaginationToken;
+ }
+ export interface DescribeProjectsRequest {
+ /**
+ * If the previous response was incomplete (because there is more results to retrieve), Amazon Rekognition Custom Labels returns a pagination token in the response. You can use this pagination token to retrieve the next set of results.
+ */
+ NextToken?: ExtendedPaginationToken;
+ /**
+ * The maximum number of results to return per paginated call. The largest value you can specify is 100. If you specify a value greater than 100, a ValidationException error occurs. The default value is 100.
+ */
+ MaxResults?: ProjectsPageSize;
+ }
+ export interface DescribeProjectsResponse {
+ /**
+ * A list of project descriptions. The list is sorted by the date and time the projects are created.
+ */
+ ProjectDescriptions?: ProjectDescriptions;
+ /**
+ * If the previous response was incomplete (because there is more results to retrieve), Amazon Rekognition Custom Labels returns a pagination token in the response. You can use this pagination token to retrieve the next set of results.
+ */
+ NextToken?: ExtendedPaginationToken;
+ }
export interface DescribeStreamProcessorRequest {
/**
* Name of the stream processor for which you want information.
@@ -645,6 +827,27 @@ declare namespace Rekognition {
*/
Settings?: StreamProcessorSettings;
}
+ export interface DetectCustomLabelsRequest {
+ /**
+ * The ARN of the model version that you want to use.
+ */
+ ProjectVersionArn: ProjectVersionArn;
+ Image: Image;
+ /**
+ * Maximum number of results you want the service to return in the response. The service returns the specified number of highest confidence labels ranked from highest confidence to lowest.
+ */
+ MaxResults?: UInteger;
+ /**
+ * Specifies the minimum confidence level for the labels to return. Amazon Rekognition doesn't return any labels with a confidence lower than this specified value. If you specify a value of 0, all labels are return, regardless of the default thresholds that the model version applies.
+ */
+ MinConfidence?: Percent;
+ }
+ export interface DetectCustomLabelsResponse {
+ /**
+ * An array of custom labels detected in the input image.
+ */
+ CustomLabels?: CustomLabels;
+ }
export interface DetectFacesRequest {
/**
* The input image as base64-encoded bytes or an S3 object. If you use the AWS CLI to call Amazon Rekognition operations, passing base64-encoded image bytes is not supported. If you are using an AWS SDK to call Amazon Rekognition, you might not need to base64-encode image bytes passed using the Bytes field. For more information, see Images in the Amazon Rekognition developer guide.
@@ -702,6 +905,10 @@ declare namespace Rekognition {
* Specifies the minimum confidence level for the labels to return. Amazon Rekognition doesn't return any labels with a confidence level lower than this specified value. If you don't specify MinConfidence, the operation returns labels with confidence values greater than or equal to 50 percent.
*/
MinConfidence?: Percent;
+ /**
+ * Sets up the configuration for human evaluation, including the FlowDefinition the image will be sent to.
+ */
+ HumanLoopConfig?: HumanLoopConfig;
}
export interface DetectModerationLabelsResponse {
/**
@@ -712,6 +919,10 @@ declare namespace Rekognition {
* Version number of the moderation detection model that was used to detect unsafe content.
*/
ModerationModelVersion?: String;
+ /**
+ * Shows the results of the human in the loop evaluation.
+ */
+ HumanLoopActivationOutput?: HumanLoopActivationOutput;
}
export interface DetectTextRequest {
/**
@@ -737,6 +948,17 @@ declare namespace Rekognition {
}
export type EmotionName = "HAPPY"|"SAD"|"ANGRY"|"CONFUSED"|"DISGUSTED"|"SURPRISED"|"CALM"|"UNKNOWN"|"FEAR"|string;
export type Emotions = Emotion[];
+ export interface EvaluationResult {
+ /**
+ * The F1 score for the evaluation of all labels. The F1 score metric evaluates the overall precision and recall performance of the model as a single value. A higher value indicates better precision and recall performance. A lower score indicates that precision, recall, or both are performing poorly.
+ */
+ F1Score?: Float;
+ /**
+ * The S3 bucket that contains the training summary.
+ */
+ Summary?: Summary;
+ }
+ export type ExtendedPaginationToken = string;
export type ExternalImageId = string;
export interface EyeOpen {
/**
@@ -893,6 +1115,7 @@ declare namespace Rekognition {
}
export type FaceSearchSortBy = "INDEX"|"TIMESTAMP"|string;
export type Float = number;
+ export type FlowDefinitionArn = string;
export interface Gender {
/**
* The predicted gender of the face.
@@ -906,11 +1129,11 @@ declare namespace Rekognition {
export type GenderType = "Male"|"Female"|string;
export interface Geometry {
/**
- * An axis-aligned coarse representation of the detected text's location on the image.
+ * An axis-aligned coarse representation of the detected item's location on the image.
*/
BoundingBox?: BoundingBox;
/**
- * Within the bounding box, a fine-grained polygon around the detected text.
+ * Within the bounding box, a fine-grained polygon around the detected item.
*/
Polygon?: Polygon;
}
@@ -1174,6 +1397,48 @@ declare namespace Rekognition {
*/
Persons?: PersonDetections;
}
+ export interface GroundTruthManifest {
+ S3Object?: S3Object;
+ }
+ export type HumanLoopActivationConditionsEvaluationResults = string;
+ export interface HumanLoopActivationOutput {
+ /**
+ * The Amazon Resource Name (ARN) of the HumanLoop created.
+ */
+ HumanLoopArn?: HumanLoopArn;
+ /**
+ * Shows if and why human review was needed.
+ */
+ HumanLoopActivationReasons?: HumanLoopActivationReasons;
+ /**
+ * Shows the result of condition evaluations, including those conditions which activated a human review.
+ */
+ HumanLoopActivationConditionsEvaluationResults?: HumanLoopActivationConditionsEvaluationResults;
+ }
+ export type HumanLoopActivationReason = string;
+ export type HumanLoopActivationReasons = HumanLoopActivationReason[];
+ export type HumanLoopArn = string;
+ export interface HumanLoopConfig {
+ /**
+ * The name of the human review used for this image. This should be kept unique within a region.
+ */
+ HumanLoopName: HumanLoopName;
+ /**
+ * The Amazon Resource Name (ARN) of the flow definition.
+ */
+ FlowDefinitionArn: FlowDefinitionArn;
+ /**
+ * Sets attributes of the input data.
+ */
+ DataAttributes?: HumanLoopDataAttributes;
+ }
+ export interface HumanLoopDataAttributes {
+ /**
+ * Sets whether the input image is free of personally identifiable information.
+ */
+ ContentClassifiers?: ContentClassifiers;
+ }
+ export type HumanLoopName = string;
export interface Image {
/**
* Blob of image bytes up to 5 MBs.
@@ -1240,6 +1505,7 @@ declare namespace Rekognition {
*/
UnindexedFaces?: UnindexedFaces;
}
+ export type InferenceUnits = number;
export interface Instance {
/**
* The position of the label instance on the image.
@@ -1435,6 +1701,16 @@ declare namespace Rekognition {
RoleArn: RoleArn;
}
export type OrientationCorrection = "ROTATE_0"|"ROTATE_90"|"ROTATE_180"|"ROTATE_270"|string;
+ export interface OutputConfig {
+ /**
+ * The S3 bucket where training output is placed.
+ */
+ S3Bucket?: S3Bucket;
+ /**
+ * The prefix applied to the training output files.
+ */
+ S3KeyPrefix?: S3KeyPrefix;
+ }
export type PageSize = number;
export type PaginationToken = string;
export interface Parent {
@@ -1512,6 +1788,75 @@ declare namespace Rekognition {
*/
Pitch?: Degree;
}
+ export type ProjectArn = string;
+ export interface ProjectDescription {
+ /**
+ * The Amazon Resource Name (ARN) of the project.
+ */
+ ProjectArn?: ProjectArn;
+ /**
+ * The Unix timestamp for the date and time that the project was created.
+ */
+ CreationTimestamp?: DateTime;
+ /**
+ * The current status of the project.
+ */
+ Status?: ProjectStatus;
+ }
+ export type ProjectDescriptions = ProjectDescription[];
+ export type ProjectName = string;
+ export type ProjectStatus = "CREATING"|"CREATED"|"DELETING"|string;
+ export type ProjectVersionArn = string;
+ export interface ProjectVersionDescription {
+ /**
+ * The Amazon Resource Name (ARN) of the model version.
+ */
+ ProjectVersionArn?: ProjectVersionArn;
+ /**
+ * The Unix datetime for the date and time that training started.
+ */
+ CreationTimestamp?: DateTime;
+ /**
+ * The minimum number of inference units used by the model. For more information, see StartProjectVersion.
+ */
+ MinInferenceUnits?: InferenceUnits;
+ /**
+ * The current status of the model version.
+ */
+ Status?: ProjectVersionStatus;
+ /**
+ * A descriptive message for an error or warning that occurred.
+ */
+ StatusMessage?: StatusMessage;
+ /**
+ * The duration, in seconds, that the model version has been billed for training. This value is only returned if the model version has been successfully trained.
+ */
+ BillableTrainingTimeInSeconds?: ULong;
+ /**
+ * The Unix date and time that training of the model ended.
+ */
+ TrainingEndTimestamp?: DateTime;
+ /**
+ * The location where training results are saved.
+ */
+ OutputConfig?: OutputConfig;
+ /**
+ * The manifest file that represents the training results.
+ */
+ TrainingDataResult?: TrainingDataResult;
+ /**
+ * The manifest file that represents the testing results.
+ */
+ TestingDataResult?: TestingDataResult;
+ /**
+ * The training results. EvaluationResult is only returned if training is successful.
+ */
+ EvaluationResult?: EvaluationResult;
+ }
+ export type ProjectVersionDescriptions = ProjectVersionDescription[];
+ export type ProjectVersionStatus = "TRAINING_IN_PROGRESS"|"TRAINING_COMPLETED"|"TRAINING_FAILED"|"STARTING"|"RUNNING"|"FAILED"|"STOPPING"|"STOPPED"|"DELETING"|string;
+ export type ProjectVersionsPageSize = number;
+ export type ProjectsPageSize = number;
export type QualityFilter = "NONE"|"AUTO"|"LOW"|"MEDIUM"|"HIGH"|string;
export type Reason = "EXCEEDS_MAX_FACES"|"EXTREME_POSE"|"LOW_BRIGHTNESS"|"LOW_SHARPNESS"|"LOW_CONFIDENCE"|"SMALL_BOUNDING_BOX"|"LOW_FACE_QUALITY"|string;
export type Reasons = Reason[];
@@ -1538,6 +1883,7 @@ declare namespace Rekognition {
export type RekognitionUniqueId = string;
export type RoleArn = string;
export type S3Bucket = string;
+ export type S3KeyPrefix = string;
export interface S3Object {
/**
* Name of the S3 bucket.
@@ -1573,7 +1919,7 @@ declare namespace Rekognition {
*/
FaceMatchThreshold?: Percent;
/**
- * A filter that specifies a quality bar for how much filtering is done to identify faces. Filtered faces aren't searched for in the collection. If you specify AUTO, Amazon Rekognition chooses the quality bar. If you specify LOW, MEDIUM, or HIGH, filtering removes all faces that don’t meet the chosen quality bar. The default value is AUTO. The quality bar is based on a variety of common use cases. Low-quality detections can occur for a number of reasons. Some examples are an object that's misidentified as a face, a face that's too blurry, or a face with a pose that's too extreme to use. If you specify NONE, no filtering is performed. To use quality filtering, the collection you are using must be associated with version 3 of the face model or higher.
+ * A filter that specifies a quality bar for how much filtering is done to identify faces. Filtered faces aren't searched for in the collection. If you specify AUTO, Amazon Rekognition chooses the quality bar. If you specify LOW, MEDIUM, or HIGH, filtering removes all faces that don’t meet the chosen quality bar. The quality bar is based on a variety of common use cases. Low-quality detections can occur for a number of reasons. Some examples are an object that's misidentified as a face, a face that's too blurry, or a face with a pose that's too extreme to use. If you specify NONE, no filtering is performed. The default value is NONE. To use quality filtering, the collection you are using must be associated with version 3 of the face model or higher.
*/
QualityFilter?: QualityFilter;
}
@@ -1801,6 +2147,22 @@ declare namespace Rekognition {
*/
JobId?: JobId;
}
+ export interface StartProjectVersionRequest {
+ /**
+ * The Amazon Resource Name(ARN) of the model version that you want to start.
+ */
+ ProjectVersionArn: ProjectVersionArn;
+ /**
+ * The minimum number of inference units to use. A single inference unit represents 1 hour of processing and can support up to 5 Transaction Pers Second (TPS). Use a higher number to increase the TPS throughput of your model. You are charged for the number of inference units that you use.
+ */
+ MinInferenceUnits: InferenceUnits;
+ }
+ export interface StartProjectVersionResponse {
+ /**
+ * The current running status of the model.
+ */
+ Status?: ProjectVersionStatus;
+ }
export interface StartStreamProcessorRequest {
/**
* The name of the stream processor to start processing.
@@ -1810,6 +2172,18 @@ declare namespace Rekognition {
export interface StartStreamProcessorResponse {
}
export type StatusMessage = string;
+ export interface StopProjectVersionRequest {
+ /**
+ * The Amazon Resource Name (ARN) of the model version that you want to delete. This operation requires permissions to perform the rekognition:StopProjectVersion action.
+ */
+ ProjectVersionArn: ProjectVersionArn;
+ }
+ export interface StopProjectVersionResponse {
+ /**
+ * The current status of the stop operation.
+ */
+ Status?: ProjectVersionStatus;
+ }
export interface StopStreamProcessorRequest {
/**
* The name of a stream processor created by CreateStreamProcessor.
@@ -1851,6 +2225,9 @@ declare namespace Rekognition {
}
export type StreamProcessorStatus = "STOPPED"|"STARTING"|"RUNNING"|"FAILED"|"STOPPING"|string;
export type String = string;
+ export interface Summary {
+ S3Object?: S3Object;
+ }
export interface Sunglasses {
/**
* Boolean value that indicates whether the face is wearing sunglasses or not.
@@ -1861,6 +2238,26 @@ declare namespace Rekognition {
*/
Confidence?: Percent;
}
+ export interface TestingData {
+ /**
+ * The assets used for testing.
+ */
+ Assets?: Assets;
+ /**
+ * If specified, Amazon Rekognition Custom Labels creates a testing dataset with an 80/20 split of the training dataset.
+ */
+ AutoCreate?: Boolean;
+ }
+ export interface TestingDataResult {
+ /**
+ * The testing dataset that was supplied for training.
+ */
+ Input?: TestingData;
+ /**
+ * The subset of the dataset that was actually tested. Some images (assets) might not be tested due to file formatting and other issues.
+ */
+ Output?: TestingData;
+ }
export interface TextDetection {
/**
* The word or line of text recognized by Amazon Rekognition.
@@ -1890,6 +2287,22 @@ declare namespace Rekognition {
export type TextDetectionList = TextDetection[];
export type TextTypes = "LINE"|"WORD"|string;
export type Timestamp = number;
+ export interface TrainingData {
+ /**
+ * A Sagemaker GroundTruth manifest file that contains the training images (assets).
+ */
+ Assets?: Assets;
+ }
+ export interface TrainingDataResult {
+ /**
+ * The training assets that you supplied for training.
+ */
+ Input?: TrainingData;
+ /**
+ * The images (assets) that were actually trained by Amazon Rekognition Custom Labels.
+ */
+ Output?: TrainingData;
+ }
export type UInteger = number;
export type ULong = number;
export interface UnindexedFace {
@@ -1905,6 +2318,8 @@ declare namespace Rekognition {
export type UnindexedFaces = UnindexedFace[];
export type Url = string;
export type Urls = Url[];
+ export type VersionName = string;
+ export type VersionNames = VersionName[];
export interface Video {
/**
* The Amazon S3 bucket name and file name for the video.
diff --git a/clients/rekognition.js b/clients/rekognition.js
index 93bea6e8a1..e4a3f185e7 100644
--- a/clients/rekognition.js
+++ b/clients/rekognition.js
@@ -9,6 +9,7 @@ Object.defineProperty(apiLoader.services['rekognition'], '2016-06-27', {
get: function get() {
var model = require('../apis/rekognition-2016-06-27.min.json');
model.paginators = require('../apis/rekognition-2016-06-27.paginators.json').pagination;
+ model.waiters = require('../apis/rekognition-2016-06-27.waiters2.json').waiters;
return model;
},
enumerable: true,
diff --git a/clients/sagemaker.d.ts b/clients/sagemaker.d.ts
index 6ec5c2df44..8ea8e1f93d 100644
--- a/clients/sagemaker.d.ts
+++ b/clients/sagemaker.d.ts
@@ -20,6 +20,14 @@ declare class SageMaker extends Service {
* Adds or overwrites one or more tags for the specified Amazon SageMaker resource. You can add tags to notebook instances, training jobs, hyperparameter tuning jobs, batch transform jobs, models, labeling jobs, work teams, endpoint configurations, and endpoints. Each tag consists of a key and an optional value. Tag keys must be unique per resource. For more information about tags, see For more information, see AWS Tagging Strategies. Tags that you add to a hyperparameter tuning job by calling this API are also added to any training jobs that the hyperparameter tuning job launches after you call this API, but not to training jobs that the hyperparameter tuning job launched before you called this API. To make sure that the tags associated with a hyperparameter tuning job are also added to all training jobs that the hyperparameter tuning job launches, add the tags when you first create the tuning job by specifying them in the Tags parameter of CreateHyperParameterTuningJob
*/
addTags(callback?: (err: AWSError, data: SageMaker.Types.AddTagsOutput) => void): Request;
+ /**
+ * Associates a trial component with a trial. A trial component can be associated with multiple trials. To disassociate a trial component from a trial, call the DisassociateTrialComponent API.
+ */
+ associateTrialComponent(params: SageMaker.Types.AssociateTrialComponentRequest, callback?: (err: AWSError, data: SageMaker.Types.AssociateTrialComponentResponse) => void): Request;
+ /**
+ * Associates a trial component with a trial. A trial component can be associated with multiple trials. To disassociate a trial component from a trial, call the DisassociateTrialComponent API.
+ */
+ associateTrialComponent(callback?: (err: AWSError, data: SageMaker.Types.AssociateTrialComponentResponse) => void): Request;
/**
* Create a machine learning algorithm that you can use in Amazon SageMaker and list in the AWS Marketplace.
*/
@@ -28,6 +36,22 @@ declare class SageMaker extends Service {
* Create a machine learning algorithm that you can use in Amazon SageMaker and list in the AWS Marketplace.
*/
createAlgorithm(callback?: (err: AWSError, data: SageMaker.Types.CreateAlgorithmOutput) => void): Request;
+ /**
+ * Creates a running App for the specified UserProfile. Supported Apps are JupyterServer and KernelGateway. This operation is automatically invoked by Amazon SageMaker Amazon SageMaker Studio (Studio) upon access to the associated Studio Domain, and when new kernel configurations are selected by the user. A user may have multiple Apps active simultaneously. Apps will automatically terminate and be deleted when stopped from within Studio, or when the DeleteApp API is manually called. UserProfiles are limited to 5 concurrently running Apps at a time.
+ */
+ createApp(params: SageMaker.Types.CreateAppRequest, callback?: (err: AWSError, data: SageMaker.Types.CreateAppResponse) => void): Request;
+ /**
+ * Creates a running App for the specified UserProfile. Supported Apps are JupyterServer and KernelGateway. This operation is automatically invoked by Amazon SageMaker Amazon SageMaker Studio (Studio) upon access to the associated Studio Domain, and when new kernel configurations are selected by the user. A user may have multiple Apps active simultaneously. Apps will automatically terminate and be deleted when stopped from within Studio, or when the DeleteApp API is manually called. UserProfiles are limited to 5 concurrently running Apps at a time.
+ */
+ createApp(callback?: (err: AWSError, data: SageMaker.Types.CreateAppResponse) => void): Request;
+ /**
+ * Creates an AutoPilot job.
+ */
+ createAutoMLJob(params: SageMaker.Types.CreateAutoMLJobRequest, callback?: (err: AWSError, data: SageMaker.Types.CreateAutoMLJobResponse) => void): Request;
+ /**
+ * Creates an AutoPilot job.
+ */
+ createAutoMLJob(callback?: (err: AWSError, data: SageMaker.Types.CreateAutoMLJobResponse) => void): Request;
/**
* Creates a Git repository as a resource in your Amazon SageMaker account. You can associate the repository with notebook instances so that you can use Git source control for the notebooks you create. The Git repository is a resource in your Amazon SageMaker account, so it can be associated with more than one notebook instance, and it persists independently from the lifecycle of any notebook instances it is associated with. The repository can be hosted either in AWS CodeCommit or in any other Git repository.
*/
@@ -45,11 +69,19 @@ declare class SageMaker extends Service {
*/
createCompilationJob(callback?: (err: AWSError, data: SageMaker.Types.CreateCompilationJobResponse) => void): Request;
/**
- * Creates an endpoint using the endpoint configuration specified in the request. Amazon SageMaker uses the endpoint to provision resources and deploy models. You create the endpoint configuration with the CreateEndpointConfig API. Use this API only for hosting models using Amazon SageMaker hosting services. You must not delete an EndpointConfig in use by an endpoint that is live or while the UpdateEndpoint or CreateEndpoint operations are being performed on the endpoint. To update an endpoint, you must create a new EndpointConfig. The endpoint name must be unique within an AWS Region in your AWS account. When it receives the request, Amazon SageMaker creates the endpoint, launches the resources (ML compute instances), and deploys the model(s) on them. When Amazon SageMaker receives the request, it sets the endpoint status to Creating. After it creates the endpoint, it sets the status to InService. Amazon SageMaker can then process incoming requests for inferences. To check the status of an endpoint, use the DescribeEndpoint API. For an example, see Exercise 1: Using the K-Means Algorithm Provided by Amazon SageMaker. If any of the models hosted at this endpoint get model data from an Amazon S3 location, Amazon SageMaker uses AWS Security Token Service to download model artifacts from the S3 path you provided. AWS STS is activated in your IAM user account by default. If you previously deactivated AWS STS for a region, you need to reactivate AWS STS for that region. For more information, see Activating and Deactivating AWS STS i an AWS Region in the AWS Identity and Access Management User Guide.
+ * Creates a Domain for Amazon SageMaker Amazon SageMaker Studio (Studio), which can be accessed by end-users in a web browser. A Domain has an associated directory, list of authorized users, and a variety of security, application, policies, and Amazon Virtual Private Cloud configurations. An AWS account is limited to one Domain, per region. Users within a domain can share notebook files and other artifacts with each other. When a Domain is created, an Amazon Elastic File System (EFS) is also created for use by all of the users within the Domain. Each user receives a private home directory within the EFS for notebooks, Git repositories, and data files.
+ */
+ createDomain(params: SageMaker.Types.CreateDomainRequest, callback?: (err: AWSError, data: SageMaker.Types.CreateDomainResponse) => void): Request;
+ /**
+ * Creates a Domain for Amazon SageMaker Amazon SageMaker Studio (Studio), which can be accessed by end-users in a web browser. A Domain has an associated directory, list of authorized users, and a variety of security, application, policies, and Amazon Virtual Private Cloud configurations. An AWS account is limited to one Domain, per region. Users within a domain can share notebook files and other artifacts with each other. When a Domain is created, an Amazon Elastic File System (EFS) is also created for use by all of the users within the Domain. Each user receives a private home directory within the EFS for notebooks, Git repositories, and data files.
+ */
+ createDomain(callback?: (err: AWSError, data: SageMaker.Types.CreateDomainResponse) => void): Request;
+ /**
+ * Creates an endpoint using the endpoint configuration specified in the request. Amazon SageMaker uses the endpoint to provision resources and deploy models. You create the endpoint configuration with the CreateEndpointConfig API. Use this API only for hosting models using Amazon SageMaker hosting services. You must not delete an EndpointConfig in use by an endpoint that is live or while the UpdateEndpoint or CreateEndpoint operations are being performed on the endpoint. To update an endpoint, you must create a new EndpointConfig. The endpoint name must be unique within an AWS Region in your AWS account. When it receives the request, Amazon SageMaker creates the endpoint, launches the resources (ML compute instances), and deploys the model(s) on them. When Amazon SageMaker receives the request, it sets the endpoint status to Creating. After it creates the endpoint, it sets the status to InService. Amazon SageMaker can then process incoming requests for inferences. To check the status of an endpoint, use the DescribeEndpoint API. For an example, see Exercise 1: Using the K-Means Algorithm Provided by Amazon SageMaker. If any of the models hosted at this endpoint get model data from an Amazon S3 location, Amazon SageMaker uses AWS Security Token Service to download model artifacts from the S3 path you provided. AWS STS is activated in your IAM user account by default. If you previously deactivated AWS STS for a region, you need to reactivate AWS STS for that region. For more information, see Activating and Deactivating AWS STS in an AWS Region in the AWS Identity and Access Management User Guide.
*/
createEndpoint(params: SageMaker.Types.CreateEndpointInput, callback?: (err: AWSError, data: SageMaker.Types.CreateEndpointOutput) => void): Request;
/**
- * Creates an endpoint using the endpoint configuration specified in the request. Amazon SageMaker uses the endpoint to provision resources and deploy models. You create the endpoint configuration with the CreateEndpointConfig API. Use this API only for hosting models using Amazon SageMaker hosting services. You must not delete an EndpointConfig in use by an endpoint that is live or while the UpdateEndpoint or CreateEndpoint operations are being performed on the endpoint. To update an endpoint, you must create a new EndpointConfig. The endpoint name must be unique within an AWS Region in your AWS account. When it receives the request, Amazon SageMaker creates the endpoint, launches the resources (ML compute instances), and deploys the model(s) on them. When Amazon SageMaker receives the request, it sets the endpoint status to Creating. After it creates the endpoint, it sets the status to InService. Amazon SageMaker can then process incoming requests for inferences. To check the status of an endpoint, use the DescribeEndpoint API. For an example, see Exercise 1: Using the K-Means Algorithm Provided by Amazon SageMaker. If any of the models hosted at this endpoint get model data from an Amazon S3 location, Amazon SageMaker uses AWS Security Token Service to download model artifacts from the S3 path you provided. AWS STS is activated in your IAM user account by default. If you previously deactivated AWS STS for a region, you need to reactivate AWS STS for that region. For more information, see Activating and Deactivating AWS STS i an AWS Region in the AWS Identity and Access Management User Guide.
+ * Creates an endpoint using the endpoint configuration specified in the request. Amazon SageMaker uses the endpoint to provision resources and deploy models. You create the endpoint configuration with the CreateEndpointConfig API. Use this API only for hosting models using Amazon SageMaker hosting services. You must not delete an EndpointConfig in use by an endpoint that is live or while the UpdateEndpoint or CreateEndpoint operations are being performed on the endpoint. To update an endpoint, you must create a new EndpointConfig. The endpoint name must be unique within an AWS Region in your AWS account. When it receives the request, Amazon SageMaker creates the endpoint, launches the resources (ML compute instances), and deploys the model(s) on them. When Amazon SageMaker receives the request, it sets the endpoint status to Creating. After it creates the endpoint, it sets the status to InService. Amazon SageMaker can then process incoming requests for inferences. To check the status of an endpoint, use the DescribeEndpoint API. For an example, see Exercise 1: Using the K-Means Algorithm Provided by Amazon SageMaker. If any of the models hosted at this endpoint get model data from an Amazon S3 location, Amazon SageMaker uses AWS Security Token Service to download model artifacts from the S3 path you provided. AWS STS is activated in your IAM user account by default. If you previously deactivated AWS STS for a region, you need to reactivate AWS STS for that region. For more information, see Activating and Deactivating AWS STS in an AWS Region in the AWS Identity and Access Management User Guide.
*/
createEndpoint(callback?: (err: AWSError, data: SageMaker.Types.CreateEndpointOutput) => void): Request;
/**
@@ -60,6 +92,30 @@ declare class SageMaker extends Service {
* Creates an endpoint configuration that Amazon SageMaker hosting services uses to deploy models. In the configuration, you identify one or more models, created using the CreateModel API, to deploy and the resources that you want Amazon SageMaker to provision. Then you call the CreateEndpoint API. Use this API only if you want to use Amazon SageMaker hosting services to deploy models into production. In the request, you define one or more ProductionVariants, each of which identifies a model. Each ProductionVariant parameter also describes the resources that you want Amazon SageMaker to provision. This includes the number and type of ML compute instances to deploy. If you are hosting multiple models, you also assign a VariantWeight to specify how much traffic you want to allocate to each model. For example, suppose that you want to host two models, A and B, and you assign traffic weight 2 for model A and 1 for model B. Amazon SageMaker distributes two-thirds of the traffic to Model A, and one-third to model B.
*/
createEndpointConfig(callback?: (err: AWSError, data: SageMaker.Types.CreateEndpointConfigOutput) => void): Request;
+ /**
+ * Creates an Amazon SageMaker experiment. An experiment is a collection of trials that are observed, compared and evaluated as a group. A trial is a set of steps, called trial components, that produce a machine learning model. The goal of an experiment is to determine the components that produce the best model. Multiple trials are performed, each one isolating and measuring the impact of a change to one or more inputs, while keeping the remaining inputs constant. When you use Amazon SageMaker Studio or the Amazon SageMaker Python SDK, all experiments, trials, and trial components are automatically tracked, logged, and indexed. When you use the AWS SDK for Python (Boto), you must use the logging APIs provided by the SDK. You can add tags to experiments, trials, trial components and then use the Search API to search for the tags. To add a description to an experiment, specify the optional Description parameter. To add a description later, or to change the description, call the UpdateExperiment API. To get a list of all your experiments, call the ListExperiments API. To view an experiment's properties, call the DescribeExperiment API. To get a list of all the trials associated with an experiment, call the ListTrials API. To create a trial call the CreateTrial API.
+ */
+ createExperiment(params: SageMaker.Types.CreateExperimentRequest, callback?: (err: AWSError, data: SageMaker.Types.CreateExperimentResponse) => void): Request;
+ /**
+ * Creates an Amazon SageMaker experiment. An experiment is a collection of trials that are observed, compared and evaluated as a group. A trial is a set of steps, called trial components, that produce a machine learning model. The goal of an experiment is to determine the components that produce the best model. Multiple trials are performed, each one isolating and measuring the impact of a change to one or more inputs, while keeping the remaining inputs constant. When you use Amazon SageMaker Studio or the Amazon SageMaker Python SDK, all experiments, trials, and trial components are automatically tracked, logged, and indexed. When you use the AWS SDK for Python (Boto), you must use the logging APIs provided by the SDK. You can add tags to experiments, trials, trial components and then use the Search API to search for the tags. To add a description to an experiment, specify the optional Description parameter. To add a description later, or to change the description, call the UpdateExperiment API. To get a list of all your experiments, call the ListExperiments API. To view an experiment's properties, call the DescribeExperiment API. To get a list of all the trials associated with an experiment, call the ListTrials API. To create a trial call the CreateTrial API.
+ */
+ createExperiment(callback?: (err: AWSError, data: SageMaker.Types.CreateExperimentResponse) => void): Request;
+ /**
+ * Creates a flow definition.
+ */
+ createFlowDefinition(params: SageMaker.Types.CreateFlowDefinitionRequest, callback?: (err: AWSError, data: SageMaker.Types.CreateFlowDefinitionResponse) => void): Request;
+ /**
+ * Creates a flow definition.
+ */
+ createFlowDefinition(callback?: (err: AWSError, data: SageMaker.Types.CreateFlowDefinitionResponse) => void): Request;
+ /**
+ * Defines the settings you will use for the human review workflow user interface. Reviewers will see a three-panel interface with an instruction area, the item to review, and an input area.
+ */
+ createHumanTaskUi(params: SageMaker.Types.CreateHumanTaskUiRequest, callback?: (err: AWSError, data: SageMaker.Types.CreateHumanTaskUiResponse) => void): Request;
+ /**
+ * Defines the settings you will use for the human review workflow user interface. Reviewers will see a three-panel interface with an instruction area, the item to review, and an input area.
+ */
+ createHumanTaskUi(callback?: (err: AWSError, data: SageMaker.Types.CreateHumanTaskUiResponse) => void): Request;
/**
* Starts a hyperparameter tuning job. A hyperparameter tuning job finds the best version of a model by running many training jobs on your dataset using the algorithm you choose and values for hyperparameters within ranges that you specify. It then chooses the hyperparameter values that result in a model that performs the best, as measured by an objective metric that you choose.
*/
@@ -92,6 +148,14 @@ declare class SageMaker extends Service {
* Creates a model package that you can use to create Amazon SageMaker models or list on AWS Marketplace. Buyers can subscribe to model packages listed on AWS Marketplace to create models in Amazon SageMaker. To create a model package by specifying a Docker container that contains your inference code and the Amazon S3 location of your model artifacts, provide values for InferenceSpecification. To create a model from an algorithm resource that you created or subscribed to in AWS Marketplace, provide a value for SourceAlgorithmSpecification.
*/
createModelPackage(callback?: (err: AWSError, data: SageMaker.Types.CreateModelPackageOutput) => void): Request;
+ /**
+ * Creates a schedule that regularly starts Amazon SageMaker Processing Jobs to monitor the data captured for an Amazon SageMaker Endoint.
+ */
+ createMonitoringSchedule(params: SageMaker.Types.CreateMonitoringScheduleRequest, callback?: (err: AWSError, data: SageMaker.Types.CreateMonitoringScheduleResponse) => void): Request;
+ /**
+ * Creates a schedule that regularly starts Amazon SageMaker Processing Jobs to monitor the data captured for an Amazon SageMaker Endoint.
+ */
+ createMonitoringSchedule(callback?: (err: AWSError, data: SageMaker.Types.CreateMonitoringScheduleResponse) => void): Request;
/**
* Creates an Amazon SageMaker notebook instance. A notebook instance is a machine learning (ML) compute instance running on a Jupyter notebook. In a CreateNotebookInstance request, specify the type of ML compute instance that you want to run. Amazon SageMaker launches the instance, installs common libraries that you can use to explore datasets for model training, and attaches an ML storage volume to the notebook instance. Amazon SageMaker also provides a set of example notebooks. Each notebook demonstrates how to use Amazon SageMaker with a specific algorithm or with a machine learning framework. After receiving the request, Amazon SageMaker does the following: Creates a network interface in the Amazon SageMaker VPC. (Option) If you specified SubnetId, Amazon SageMaker creates a network interface in your own VPC, which is inferred from the subnet ID that you provide in the input. When creating this network interface, Amazon SageMaker attaches the security group that you specified in the request to the network interface that it creates in your VPC. Launches an EC2 instance of the type specified in the request in the Amazon SageMaker VPC. If you specified SubnetId of your VPC, Amazon SageMaker specifies both network interfaces when launching this instance. This enables inbound traffic from your own VPC to the notebook instance, assuming that the security groups allow it. After creating the notebook instance, Amazon SageMaker returns its Amazon Resource Name (ARN). You can't change the name of a notebook instance after you create it. After Amazon SageMaker creates the notebook instance, you can connect to the Jupyter server and work in Jupyter notebooks. For example, you can write code to explore a dataset that you can use for model training, train a model, host models by creating Amazon SageMaker endpoints, and validate hosted models. For more information, see How It Works.
*/
@@ -108,6 +172,14 @@ declare class SageMaker extends Service {
* Creates a lifecycle configuration that you can associate with a notebook instance. A lifecycle configuration is a collection of shell scripts that run when you create or start a notebook instance. Each lifecycle configuration script has a limit of 16384 characters. The value of the $PATH environment variable that is available to both scripts is /sbin:bin:/usr/sbin:/usr/bin. View CloudWatch Logs for notebook instance lifecycle configurations in log group /aws/sagemaker/NotebookInstances in log stream [notebook-instance-name]/[LifecycleConfigHook]. Lifecycle configuration scripts cannot run for longer than 5 minutes. If a script runs for longer than 5 minutes, it fails and the notebook instance is not created or started. For information about notebook instance lifestyle configurations, see Step 2.1: (Optional) Customize a Notebook Instance.
*/
createNotebookInstanceLifecycleConfig(callback?: (err: AWSError, data: SageMaker.Types.CreateNotebookInstanceLifecycleConfigOutput) => void): Request;
+ /**
+ * Creates a URL for a specified UserProfile in a Domain. When accessed in a web browser, the user will be automatically signed in to Amazon SageMaker Amazon SageMaker Studio (Studio), and granted access to all of the Apps and files associated with that Amazon Elastic File System (EFS). This operation can only be called when AuthMode equals IAM.
+ */
+ createPresignedDomainUrl(params: SageMaker.Types.CreatePresignedDomainUrlRequest, callback?: (err: AWSError, data: SageMaker.Types.CreatePresignedDomainUrlResponse) => void): Request;
+ /**
+ * Creates a URL for a specified UserProfile in a Domain. When accessed in a web browser, the user will be automatically signed in to Amazon SageMaker Amazon SageMaker Studio (Studio), and granted access to all of the Apps and files associated with that Amazon Elastic File System (EFS). This operation can only be called when AuthMode equals IAM.
+ */
+ createPresignedDomainUrl(callback?: (err: AWSError, data: SageMaker.Types.CreatePresignedDomainUrlResponse) => void): Request;
/**
* Returns a URL that you can use to connect to the Jupyter server from a notebook instance. In the Amazon SageMaker console, when you choose Open next to a notebook instance, Amazon SageMaker opens a new tab showing the Jupyter server home page from the notebook instance. The console uses this API to get the URL and show the page. IAM authorization policies for this API are also enforced for every HTTP request and WebSocket frame that attempts to connect to the notebook instance.For example, you can restrict access to this API and to the URL that it returns to a list of IP addresses that you specify. Use the NotIpAddress condition operator and the aws:SourceIP condition context key to specify the list of IP addresses that you want to have access to the notebook instance. For more information, see Limit Access to a Notebook Instance by IP Address. The URL that you get from a call to is valid only for 5 minutes. If you try to use the URL after the 5-minute limit expires, you are directed to the AWS console sign-in page.
*/
@@ -117,11 +189,19 @@ declare class SageMaker extends Service {
*/
createPresignedNotebookInstanceUrl(callback?: (err: AWSError, data: SageMaker.Types.CreatePresignedNotebookInstanceUrlOutput) => void): Request;
/**
- * Starts a model training job. After training completes, Amazon SageMaker saves the resulting model artifacts to an Amazon S3 location that you specify. If you choose to host your model using Amazon SageMaker hosting services, you can use the resulting model artifacts as part of the model. You can also use the artifacts in a machine learning service other than Amazon SageMaker, provided that you know how to use them for inferences. In the request body, you provide the following: AlgorithmSpecification - Identifies the training algorithm to use. HyperParameters - Specify these algorithm-specific parameters to enable the estimation of model parameters during training. Hyperparameters can be tuned to optimize this learning process. For a list of hyperparameters for each training algorithm provided by Amazon SageMaker, see Algorithms. InputDataConfig - Describes the training dataset and the Amazon S3, EFS, or FSx location where it is stored. OutputDataConfig - Identifies the Amazon S3 bucket where you want Amazon SageMaker to save the results of model training. ResourceConfig - Identifies the resources, ML compute instances, and ML storage volumes to deploy for model training. In distributed training, you specify more than one instance. EnableManagedSpotTraining - Optimize the cost of training machine learning models by up to 80% by using Amazon EC2 Spot instances. For more information, see Managed Spot Training. RoleARN - The Amazon Resource Number (ARN) that Amazon SageMaker assumes to perform tasks on your behalf during model training. You must grant this role the necessary permissions so that Amazon SageMaker can successfully complete model training. StoppingCondition - To help cap training costs, use MaxRuntimeInSeconds to set a time limit for training. Use MaxWaitTimeInSeconds to specify how long you are willing to to wait for a managed spot training job to complete. For more information about Amazon SageMaker, see How It Works.
+ * Creates a processing job.
+ */
+ createProcessingJob(params: SageMaker.Types.CreateProcessingJobRequest, callback?: (err: AWSError, data: SageMaker.Types.CreateProcessingJobResponse) => void): Request;
+ /**
+ * Creates a processing job.
+ */
+ createProcessingJob(callback?: (err: AWSError, data: SageMaker.Types.CreateProcessingJobResponse) => void): Request;
+ /**
+ * Starts a model training job. After training completes, Amazon SageMaker saves the resulting model artifacts to an Amazon S3 location that you specify. If you choose to host your model using Amazon SageMaker hosting services, you can use the resulting model artifacts as part of the model. You can also use the artifacts in a machine learning service other than Amazon SageMaker, provided that you know how to use them for inferences. In the request body, you provide the following: AlgorithmSpecification - Identifies the training algorithm to use. HyperParameters - Specify these algorithm-specific parameters to enable the estimation of model parameters during training. Hyperparameters can be tuned to optimize this learning process. For a list of hyperparameters for each training algorithm provided by Amazon SageMaker, see Algorithms. InputDataConfig - Describes the training dataset and the Amazon S3, EFS, or FSx location where it is stored. OutputDataConfig - Identifies the Amazon S3 bucket where you want Amazon SageMaker to save the results of model training. ResourceConfig - Identifies the resources, ML compute instances, and ML storage volumes to deploy for model training. In distributed training, you specify more than one instance. EnableManagedSpotTraining - Optimize the cost of training machine learning models by up to 80% by using Amazon EC2 Spot instances. For more information, see Managed Spot Training. RoleARN - The Amazon Resource Number (ARN) that Amazon SageMaker assumes to perform tasks on your behalf during model training. You must grant this role the necessary permissions so that Amazon SageMaker can successfully complete model training. StoppingCondition - To help cap training costs, use MaxRuntimeInSeconds to set a time limit for training. Use MaxWaitTimeInSeconds to specify how long you are willing to wait for a managed spot training job to complete. For more information about Amazon SageMaker, see How It Works.
*/
createTrainingJob(params: SageMaker.Types.CreateTrainingJobRequest, callback?: (err: AWSError, data: SageMaker.Types.CreateTrainingJobResponse) => void): Request;
/**
- * Starts a model training job. After training completes, Amazon SageMaker saves the resulting model artifacts to an Amazon S3 location that you specify. If you choose to host your model using Amazon SageMaker hosting services, you can use the resulting model artifacts as part of the model. You can also use the artifacts in a machine learning service other than Amazon SageMaker, provided that you know how to use them for inferences. In the request body, you provide the following: AlgorithmSpecification - Identifies the training algorithm to use. HyperParameters - Specify these algorithm-specific parameters to enable the estimation of model parameters during training. Hyperparameters can be tuned to optimize this learning process. For a list of hyperparameters for each training algorithm provided by Amazon SageMaker, see Algorithms. InputDataConfig - Describes the training dataset and the Amazon S3, EFS, or FSx location where it is stored. OutputDataConfig - Identifies the Amazon S3 bucket where you want Amazon SageMaker to save the results of model training. ResourceConfig - Identifies the resources, ML compute instances, and ML storage volumes to deploy for model training. In distributed training, you specify more than one instance. EnableManagedSpotTraining - Optimize the cost of training machine learning models by up to 80% by using Amazon EC2 Spot instances. For more information, see Managed Spot Training. RoleARN - The Amazon Resource Number (ARN) that Amazon SageMaker assumes to perform tasks on your behalf during model training. You must grant this role the necessary permissions so that Amazon SageMaker can successfully complete model training. StoppingCondition - To help cap training costs, use MaxRuntimeInSeconds to set a time limit for training. Use MaxWaitTimeInSeconds to specify how long you are willing to to wait for a managed spot training job to complete. For more information about Amazon SageMaker, see How It Works.
+ * Starts a model training job. After training completes, Amazon SageMaker saves the resulting model artifacts to an Amazon S3 location that you specify. If you choose to host your model using Amazon SageMaker hosting services, you can use the resulting model artifacts as part of the model. You can also use the artifacts in a machine learning service other than Amazon SageMaker, provided that you know how to use them for inferences. In the request body, you provide the following: AlgorithmSpecification - Identifies the training algorithm to use. HyperParameters - Specify these algorithm-specific parameters to enable the estimation of model parameters during training. Hyperparameters can be tuned to optimize this learning process. For a list of hyperparameters for each training algorithm provided by Amazon SageMaker, see Algorithms. InputDataConfig - Describes the training dataset and the Amazon S3, EFS, or FSx location where it is stored. OutputDataConfig - Identifies the Amazon S3 bucket where you want Amazon SageMaker to save the results of model training. ResourceConfig - Identifies the resources, ML compute instances, and ML storage volumes to deploy for model training. In distributed training, you specify more than one instance. EnableManagedSpotTraining - Optimize the cost of training machine learning models by up to 80% by using Amazon EC2 Spot instances. For more information, see Managed Spot Training. RoleARN - The Amazon Resource Number (ARN) that Amazon SageMaker assumes to perform tasks on your behalf during model training. You must grant this role the necessary permissions so that Amazon SageMaker can successfully complete model training. StoppingCondition - To help cap training costs, use MaxRuntimeInSeconds to set a time limit for training. Use MaxWaitTimeInSeconds to specify how long you are willing to wait for a managed spot training job to complete. For more information about Amazon SageMaker, see How It Works.
*/
createTrainingJob(callback?: (err: AWSError, data: SageMaker.Types.CreateTrainingJobResponse) => void): Request;
/**
@@ -132,6 +212,30 @@ declare class SageMaker extends Service {
* Starts a transform job. A transform job uses a trained model to get inferences on a dataset and saves these results to an Amazon S3 location that you specify. To perform batch transformations, you create a transform job and use the data that you have readily available. In the request body, you provide the following: TransformJobName - Identifies the transform job. The name must be unique within an AWS Region in an AWS account. ModelName - Identifies the model to use. ModelName must be the name of an existing Amazon SageMaker model in the same AWS Region and AWS account. For information on creating a model, see CreateModel. TransformInput - Describes the dataset to be transformed and the Amazon S3 location where it is stored. TransformOutput - Identifies the Amazon S3 location where you want Amazon SageMaker to save the results from the transform job. TransformResources - Identifies the ML compute instances for the transform job. For more information about how batch transformation works, see Batch Transform.
*/
createTransformJob(callback?: (err: AWSError, data: SageMaker.Types.CreateTransformJobResponse) => void): Request;
+ /**
+ * Creates an Amazon SageMaker trial. A trial is a set of steps called trial components that produce a machine learning model. A trial is part of a single Amazon SageMaker experiment. When you use Amazon SageMaker Studio or the Amazon SageMaker Python SDK, all experiments, trials, and trial components are automatically tracked, logged, and indexed. When you use the AWS SDK for Python (Boto), you must use the logging APIs provided by the SDK. You can add tags to a trial and then use the Search API to search for the tags. To get a list of all your trials, call the ListTrials API. To view a trial's properties, call the DescribeTrial API. To create a trial component, call the CreateTrialComponent API.
+ */
+ createTrial(params: SageMaker.Types.CreateTrialRequest, callback?: (err: AWSError, data: SageMaker.Types.CreateTrialResponse) => void): Request;
+ /**
+ * Creates an Amazon SageMaker trial. A trial is a set of steps called trial components that produce a machine learning model. A trial is part of a single Amazon SageMaker experiment. When you use Amazon SageMaker Studio or the Amazon SageMaker Python SDK, all experiments, trials, and trial components are automatically tracked, logged, and indexed. When you use the AWS SDK for Python (Boto), you must use the logging APIs provided by the SDK. You can add tags to a trial and then use the Search API to search for the tags. To get a list of all your trials, call the ListTrials API. To view a trial's properties, call the DescribeTrial API. To create a trial component, call the CreateTrialComponent API.
+ */
+ createTrial(callback?: (err: AWSError, data: SageMaker.Types.CreateTrialResponse) => void): Request;
+ /**
+ * Creates a trial component, which is a stage of a machine learning trial. A trial is composed of one or more trial components. A trial component can be used in multiple trials. Trial components include pre-processing jobs, training jobs, and batch transform jobs. When you use Amazon SageMaker Studio or the Amazon SageMaker Python SDK, all experiments, trials, and trial components are automatically tracked, logged, and indexed. When you use the AWS SDK for Python (Boto), you must use the logging APIs provided by the SDK. You can add tags to a trial component and then use the Search API to search for the tags. You can create a trial component through a direct call to the CreateTrialComponent API. However, you can't specify the Source property of the component in the request, therefore, the component isn't associated with an Amazon SageMaker job. You must use Amazon SageMaker Studio, the Amazon SageMaker Python SDK, or the AWS SDK for Python (Boto) to create the component with a valid Source property.
+ */
+ createTrialComponent(params: SageMaker.Types.CreateTrialComponentRequest, callback?: (err: AWSError, data: SageMaker.Types.CreateTrialComponentResponse) => void): Request;
+ /**
+ * Creates a trial component, which is a stage of a machine learning trial. A trial is composed of one or more trial components. A trial component can be used in multiple trials. Trial components include pre-processing jobs, training jobs, and batch transform jobs. When you use Amazon SageMaker Studio or the Amazon SageMaker Python SDK, all experiments, trials, and trial components are automatically tracked, logged, and indexed. When you use the AWS SDK for Python (Boto), you must use the logging APIs provided by the SDK. You can add tags to a trial component and then use the Search API to search for the tags. You can create a trial component through a direct call to the CreateTrialComponent API. However, you can't specify the Source property of the component in the request, therefore, the component isn't associated with an Amazon SageMaker job. You must use Amazon SageMaker Studio, the Amazon SageMaker Python SDK, or the AWS SDK for Python (Boto) to create the component with a valid Source property.
+ */
+ createTrialComponent(callback?: (err: AWSError, data: SageMaker.Types.CreateTrialComponentResponse) => void): Request;
+ /**
+ * Creates a new user profile. A user profile represents a single user within a Domain, and is the main way to reference a "person" for the purposes of sharing, reporting and other user-oriented features. This entity is created during on-boarding. If an administrator invites a person by email or imports them from SSO, a new UserProfile is automatically created. This entity is the primary holder of settings for an individual user and has a reference to the user's private Amazon Elastic File System (EFS) home directory.
+ */
+ createUserProfile(params: SageMaker.Types.CreateUserProfileRequest, callback?: (err: AWSError, data: SageMaker.Types.CreateUserProfileResponse) => void): Request;
+ /**
+ * Creates a new user profile. A user profile represents a single user within a Domain, and is the main way to reference a "person" for the purposes of sharing, reporting and other user-oriented features. This entity is created during on-boarding. If an administrator invites a person by email or imports them from SSO, a new UserProfile is automatically created. This entity is the primary holder of settings for an individual user and has a reference to the user's private Amazon Elastic File System (EFS) home directory.
+ */
+ createUserProfile(callback?: (err: AWSError, data: SageMaker.Types.CreateUserProfileResponse) => void): Request;
/**
* Creates a new work team for labeling your data. A work team is defined by one or more Amazon Cognito user pools. You must first create the user pools before you can create a work team. You cannot create more than 25 work teams in an account and region.
*/
@@ -148,6 +252,14 @@ declare class SageMaker extends Service {
* Removes the specified algorithm from your account.
*/
deleteAlgorithm(callback?: (err: AWSError, data: {}) => void): Request<{}, AWSError>;
+ /**
+ * Used to stop and delete an app.
+ */
+ deleteApp(params: SageMaker.Types.DeleteAppRequest, callback?: (err: AWSError, data: {}) => void): Request<{}, AWSError>;
+ /**
+ * Used to stop and delete an app.
+ */
+ deleteApp(callback?: (err: AWSError, data: {}) => void): Request<{}, AWSError>;
/**
* Deletes the specified Git repository from your account.
*/
@@ -156,6 +268,14 @@ declare class SageMaker extends Service {
* Deletes the specified Git repository from your account.
*/
deleteCodeRepository(callback?: (err: AWSError, data: {}) => void): Request<{}, AWSError>;
+ /**
+ * Used to delete a domain. If you on-boarded with IAM mode, you will need to delete your domain to on-board again using SSO. Use with caution. All of the members of the domain will lose access to their EFS volume, including data, notebooks, and other artifacts.
+ */
+ deleteDomain(params: SageMaker.Types.DeleteDomainRequest, callback?: (err: AWSError, data: {}) => void): Request<{}, AWSError>;
+ /**
+ * Used to delete a domain. If you on-boarded with IAM mode, you will need to delete your domain to on-board again using SSO. Use with caution. All of the members of the domain will lose access to their EFS volume, including data, notebooks, and other artifacts.
+ */
+ deleteDomain(callback?: (err: AWSError, data: {}) => void): Request<{}, AWSError>;
/**
* Deletes an endpoint. Amazon SageMaker frees up all of the resources that were deployed when the endpoint was created. Amazon SageMaker retires any custom KMS key grants associated with the endpoint, meaning you don't need to use the RevokeGrant API call.
*/
@@ -172,6 +292,22 @@ declare class SageMaker extends Service {
* Deletes an endpoint configuration. The DeleteEndpointConfig API deletes only the specified configuration. It does not delete endpoints created using the configuration.
*/
deleteEndpointConfig(callback?: (err: AWSError, data: {}) => void): Request<{}, AWSError>;
+ /**
+ * Deletes an Amazon SageMaker experiment. All trials associated with the experiment must be deleted first. Use the ListTrials API to get a list of the trials associated with the experiment.
+ */
+ deleteExperiment(params: SageMaker.Types.DeleteExperimentRequest, callback?: (err: AWSError, data: SageMaker.Types.DeleteExperimentResponse) => void): Request;
+ /**
+ * Deletes an Amazon SageMaker experiment. All trials associated with the experiment must be deleted first. Use the ListTrials API to get a list of the trials associated with the experiment.
+ */
+ deleteExperiment(callback?: (err: AWSError, data: SageMaker.Types.DeleteExperimentResponse) => void): Request;
+ /**
+ * Deletes the specified flow definition.
+ */
+ deleteFlowDefinition(params: SageMaker.Types.DeleteFlowDefinitionRequest, callback?: (err: AWSError, data: SageMaker.Types.DeleteFlowDefinitionResponse) => void): Request;
+ /**
+ * Deletes the specified flow definition.
+ */
+ deleteFlowDefinition(callback?: (err: AWSError, data: SageMaker.Types.DeleteFlowDefinitionResponse) => void): Request;
/**
* Deletes a model. The DeleteModel API deletes only the model entry that was created in Amazon SageMaker when you called the CreateModel API. It does not delete model artifacts, inference code, or the IAM role that you specified when creating the model.
*/
@@ -188,6 +324,14 @@ declare class SageMaker extends Service {
* Deletes a model package. A model package is used to create Amazon SageMaker models or list on AWS Marketplace. Buyers can subscribe to model packages listed on AWS Marketplace to create models in Amazon SageMaker.
*/
deleteModelPackage(callback?: (err: AWSError, data: {}) => void): Request<{}, AWSError>;
+ /**
+ * Deletes a monitoring schedule. Also stops the schedule had not already been stopped. This does not delete the job execution history of the monitoring schedule.
+ */
+ deleteMonitoringSchedule(params: SageMaker.Types.DeleteMonitoringScheduleRequest, callback?: (err: AWSError, data: {}) => void): Request<{}, AWSError>;
+ /**
+ * Deletes a monitoring schedule. Also stops the schedule had not already been stopped. This does not delete the job execution history of the monitoring schedule.
+ */
+ deleteMonitoringSchedule(callback?: (err: AWSError, data: {}) => void): Request<{}, AWSError>;
/**
* Deletes an Amazon SageMaker notebook instance. Before you can delete a notebook instance, you must call the StopNotebookInstance API. When you delete a notebook instance, you lose all of your data. Amazon SageMaker removes the ML compute instance, and deletes the ML storage volume and the network interface associated with the notebook instance.
*/
@@ -212,6 +356,30 @@ declare class SageMaker extends Service {
* Deletes the specified tags from an Amazon SageMaker resource. To list a resource's tags, use the ListTags API. When you call this API to delete tags from a hyperparameter tuning job, the deleted tags are not removed from training jobs that the hyperparameter tuning job launched before you called this API.
*/
deleteTags(callback?: (err: AWSError, data: SageMaker.Types.DeleteTagsOutput) => void): Request;
+ /**
+ * Deletes the specified trial. All trial components that make up the trial must be deleted first. Use the DescribeTrialComponent API to get the list of trial components.
+ */
+ deleteTrial(params: SageMaker.Types.DeleteTrialRequest, callback?: (err: AWSError, data: SageMaker.Types.DeleteTrialResponse) => void): Request;
+ /**
+ * Deletes the specified trial. All trial components that make up the trial must be deleted first. Use the DescribeTrialComponent API to get the list of trial components.
+ */
+ deleteTrial(callback?: (err: AWSError, data: SageMaker.Types.DeleteTrialResponse) => void): Request;
+ /**
+ * Deletes the specified trial component. A trial component must be disassociated from all trials before the trial component can be deleted. To disassociate a trial component from a trial, call the DisassociateTrialComponent API.
+ */
+ deleteTrialComponent(params: SageMaker.Types.DeleteTrialComponentRequest, callback?: (err: AWSError, data: SageMaker.Types.DeleteTrialComponentResponse) => void): Request;
+ /**
+ * Deletes the specified trial component. A trial component must be disassociated from all trials before the trial component can be deleted. To disassociate a trial component from a trial, call the DisassociateTrialComponent API.
+ */
+ deleteTrialComponent(callback?: (err: AWSError, data: SageMaker.Types.DeleteTrialComponentResponse) => void): Request;
+ /**
+ * Deletes a user profile.
+ */
+ deleteUserProfile(params: SageMaker.Types.DeleteUserProfileRequest, callback?: (err: AWSError, data: {}) => void): Request<{}, AWSError>;
+ /**
+ * Deletes a user profile.
+ */
+ deleteUserProfile(callback?: (err: AWSError, data: {}) => void): Request<{}, AWSError>;
/**
* Deletes an existing work team. This operation can't be undone.
*/
@@ -228,6 +396,22 @@ declare class SageMaker extends Service {
* Returns a description of the specified algorithm that is in your account.
*/
describeAlgorithm(callback?: (err: AWSError, data: SageMaker.Types.DescribeAlgorithmOutput) => void): Request;
+ /**
+ * Describes the app.
+ */
+ describeApp(params: SageMaker.Types.DescribeAppRequest, callback?: (err: AWSError, data: SageMaker.Types.DescribeAppResponse) => void): Request;
+ /**
+ * Describes the app.
+ */
+ describeApp(callback?: (err: AWSError, data: SageMaker.Types.DescribeAppResponse) => void): Request;
+ /**
+ * Returns information about an Amazon SageMaker job.
+ */
+ describeAutoMLJob(params: SageMaker.Types.DescribeAutoMLJobRequest, callback?: (err: AWSError, data: SageMaker.Types.DescribeAutoMLJobResponse) => void): Request;
+ /**
+ * Returns information about an Amazon SageMaker job.
+ */
+ describeAutoMLJob(callback?: (err: AWSError, data: SageMaker.Types.DescribeAutoMLJobResponse) => void): Request;
/**
* Gets details about the specified Git repository.
*/
@@ -244,6 +428,14 @@ declare class SageMaker extends Service {
* Returns information about a model compilation job. To create a model compilation job, use CreateCompilationJob. To get information about multiple model compilation jobs, use ListCompilationJobs.
*/
describeCompilationJob(callback?: (err: AWSError, data: SageMaker.Types.DescribeCompilationJobResponse) => void): Request;
+ /**
+ * The desciption of the domain.
+ */
+ describeDomain(params: SageMaker.Types.DescribeDomainRequest, callback?: (err: AWSError, data: SageMaker.Types.DescribeDomainResponse) => void): Request;
+ /**
+ * The desciption of the domain.
+ */
+ describeDomain(callback?: (err: AWSError, data: SageMaker.Types.DescribeDomainResponse) => void): Request;
/**
* Returns the description of an endpoint.
*/
@@ -260,6 +452,30 @@ declare class SageMaker extends Service {
* Returns the description of an endpoint configuration created using the CreateEndpointConfig API.
*/
describeEndpointConfig(callback?: (err: AWSError, data: SageMaker.Types.DescribeEndpointConfigOutput) => void): Request;
+ /**
+ * Provides a list of an experiment's properties.
+ */
+ describeExperiment(params: SageMaker.Types.DescribeExperimentRequest, callback?: (err: AWSError, data: SageMaker.Types.DescribeExperimentResponse) => void): Request;
+ /**
+ * Provides a list of an experiment's properties.
+ */
+ describeExperiment(callback?: (err: AWSError, data: SageMaker.Types.DescribeExperimentResponse) => void): Request;
+ /**
+ * Returns information about the specified flow definition.
+ */
+ describeFlowDefinition(params: SageMaker.Types.DescribeFlowDefinitionRequest, callback?: (err: AWSError, data: SageMaker.Types.DescribeFlowDefinitionResponse) => void): Request;
+ /**
+ * Returns information about the specified flow definition.
+ */
+ describeFlowDefinition(callback?: (err: AWSError, data: SageMaker.Types.DescribeFlowDefinitionResponse) => void): Request;
+ /**
+ * Returns information about the requested human task user interface.
+ */
+ describeHumanTaskUi(params: SageMaker.Types.DescribeHumanTaskUiRequest, callback?: (err: AWSError, data: SageMaker.Types.DescribeHumanTaskUiResponse) => void): Request;
+ /**
+ * Returns information about the requested human task user interface.
+ */
+ describeHumanTaskUi(callback?: (err: AWSError, data: SageMaker.Types.DescribeHumanTaskUiResponse) => void): Request;
/**
* Gets a description of a hyperparameter tuning job.
*/
@@ -292,6 +508,14 @@ declare class SageMaker extends Service {
* Returns a description of the specified model package, which is used to create Amazon SageMaker models or list them on AWS Marketplace. To create models in Amazon SageMaker, buyers can subscribe to model packages listed on AWS Marketplace.
*/
describeModelPackage(callback?: (err: AWSError, data: SageMaker.Types.DescribeModelPackageOutput) => void): Request;
+ /**
+ * Describes the schedule for a monitoring job.
+ */
+ describeMonitoringSchedule(params: SageMaker.Types.DescribeMonitoringScheduleRequest, callback?: (err: AWSError, data: SageMaker.Types.DescribeMonitoringScheduleResponse) => void): Request;
+ /**
+ * Describes the schedule for a monitoring job.
+ */
+ describeMonitoringSchedule(callback?: (err: AWSError, data: SageMaker.Types.DescribeMonitoringScheduleResponse) => void): Request;
/**
* Returns information about a notebook instance.
*/
@@ -308,6 +532,14 @@ declare class SageMaker extends Service {
* Returns a description of a notebook instance lifecycle configuration. For information about notebook instance lifestyle configurations, see Step 2.1: (Optional) Customize a Notebook Instance.
*/
describeNotebookInstanceLifecycleConfig(callback?: (err: AWSError, data: SageMaker.Types.DescribeNotebookInstanceLifecycleConfigOutput) => void): Request;
+ /**
+ * Returns a description of a processing job.
+ */
+ describeProcessingJob(params: SageMaker.Types.DescribeProcessingJobRequest, callback?: (err: AWSError, data: SageMaker.Types.DescribeProcessingJobResponse) => void): Request;
+ /**
+ * Returns a description of a processing job.
+ */
+ describeProcessingJob(callback?: (err: AWSError, data: SageMaker.Types.DescribeProcessingJobResponse) => void): Request;
/**
* Gets information about a work team provided by a vendor. It returns details about the subscription with a vendor in the AWS Marketplace.
*/
@@ -332,6 +564,30 @@ declare class SageMaker extends Service {
* Returns information about a transform job.
*/
describeTransformJob(callback?: (err: AWSError, data: SageMaker.Types.DescribeTransformJobResponse) => void): Request;
+ /**
+ * Provides a list of a trial's properties.
+ */
+ describeTrial(params: SageMaker.Types.DescribeTrialRequest, callback?: (err: AWSError, data: SageMaker.Types.DescribeTrialResponse) => void): Request;
+ /**
+ * Provides a list of a trial's properties.
+ */
+ describeTrial(callback?: (err: AWSError, data: SageMaker.Types.DescribeTrialResponse) => void): Request;
+ /**
+ * Provides a list of a trials component's properties.
+ */
+ describeTrialComponent(params: SageMaker.Types.DescribeTrialComponentRequest, callback?: (err: AWSError, data: SageMaker.Types.DescribeTrialComponentResponse) => void): Request;
+ /**
+ * Provides a list of a trials component's properties.
+ */
+ describeTrialComponent(callback?: (err: AWSError, data: SageMaker.Types.DescribeTrialComponentResponse) => void): Request;
+ /**
+ * Describes the user profile.
+ */
+ describeUserProfile(params: SageMaker.Types.DescribeUserProfileRequest, callback?: (err: AWSError, data: SageMaker.Types.DescribeUserProfileResponse) => void): Request;
+ /**
+ * Describes the user profile.
+ */
+ describeUserProfile(callback?: (err: AWSError, data: SageMaker.Types.DescribeUserProfileResponse) => void): Request;
/**
* Gets information about a specific work team. You can see information such as the create date, the last updated date, membership information, and the work team's Amazon Resource Name (ARN).
*/
@@ -340,6 +596,14 @@ declare class SageMaker extends Service {
* Gets information about a specific work team. You can see information such as the create date, the last updated date, membership information, and the work team's Amazon Resource Name (ARN).
*/
describeWorkteam(callback?: (err: AWSError, data: SageMaker.Types.DescribeWorkteamResponse) => void): Request;
+ /**
+ * Disassociates a trial component from a trial. This doesn't effect other trials the component is associated with. Before you can delete a component, you must disassociate the component from all trials it is associated with. To associate a trial component with a trial, call the AssociateTrialComponent API.
+ */
+ disassociateTrialComponent(params: SageMaker.Types.DisassociateTrialComponentRequest, callback?: (err: AWSError, data: SageMaker.Types.DisassociateTrialComponentResponse) => void): Request;
+ /**
+ * Disassociates a trial component from a trial. This doesn't effect other trials the component is associated with. Before you can delete a component, you must disassociate the component from all trials it is associated with. To associate a trial component with a trial, call the AssociateTrialComponent API.
+ */
+ disassociateTrialComponent(callback?: (err: AWSError, data: SageMaker.Types.DisassociateTrialComponentResponse) => void): Request;
/**
* An auto-complete API for the search functionality in the Amazon SageMaker console. It returns suggestions of possible matches for the property name to use in Search queries. Provides suggestions for HyperParameters, Tags, and Metrics.
*/
@@ -356,6 +620,30 @@ declare class SageMaker extends Service {
* Lists the machine learning algorithms that have been created.
*/
listAlgorithms(callback?: (err: AWSError, data: SageMaker.Types.ListAlgorithmsOutput) => void): Request;
+ /**
+ * Lists apps.
+ */
+ listApps(params: SageMaker.Types.ListAppsRequest, callback?: (err: AWSError, data: SageMaker.Types.ListAppsResponse) => void): Request;
+ /**
+ * Lists apps.
+ */
+ listApps(callback?: (err: AWSError, data: SageMaker.Types.ListAppsResponse) => void): Request;
+ /**
+ * Request a list of jobs.
+ */
+ listAutoMLJobs(params: SageMaker.Types.ListAutoMLJobsRequest, callback?: (err: AWSError, data: SageMaker.Types.ListAutoMLJobsResponse) => void): Request;
+ /**
+ * Request a list of jobs.
+ */
+ listAutoMLJobs(callback?: (err: AWSError, data: SageMaker.Types.ListAutoMLJobsResponse) => void): Request;
+ /**
+ * List the Candidates created for the job.
+ */
+ listCandidatesForAutoMLJob(params: SageMaker.Types.ListCandidatesForAutoMLJobRequest, callback?: (err: AWSError, data: SageMaker.Types.ListCandidatesForAutoMLJobResponse) => void): Request;
+ /**
+ * List the Candidates created for the job.
+ */
+ listCandidatesForAutoMLJob(callback?: (err: AWSError, data: SageMaker.Types.ListCandidatesForAutoMLJobResponse) => void): Request;
/**
* Gets a list of the Git repositories in your account.
*/
@@ -372,6 +660,14 @@ declare class SageMaker extends Service {
* Lists model compilation jobs that satisfy various filters. To create a model compilation job, use CreateCompilationJob. To get information about a particular model compilation job you have created, use DescribeCompilationJob.
*/
listCompilationJobs(callback?: (err: AWSError, data: SageMaker.Types.ListCompilationJobsResponse) => void): Request;
+ /**
+ * Lists the domains.
+ */
+ listDomains(params: SageMaker.Types.ListDomainsRequest, callback?: (err: AWSError, data: SageMaker.Types.ListDomainsResponse) => void): Request;
+ /**
+ * Lists the domains.
+ */
+ listDomains(callback?: (err: AWSError, data: SageMaker.Types.ListDomainsResponse) => void): Request;
/**
* Lists endpoint configurations.
*/
@@ -388,6 +684,30 @@ declare class SageMaker extends Service {
* Lists endpoints.
*/
listEndpoints(callback?: (err: AWSError, data: SageMaker.Types.ListEndpointsOutput) => void): Request;
+ /**
+ * Lists all the experiments in your account. The list can be filtered to show only experiments that were created in a specific time range. The list can be sorted by experiment name or creation time.
+ */
+ listExperiments(params: SageMaker.Types.ListExperimentsRequest, callback?: (err: AWSError, data: SageMaker.Types.ListExperimentsResponse) => void): Request;
+ /**
+ * Lists all the experiments in your account. The list can be filtered to show only experiments that were created in a specific time range. The list can be sorted by experiment name or creation time.
+ */
+ listExperiments(callback?: (err: AWSError, data: SageMaker.Types.ListExperimentsResponse) => void): Request;
+ /**
+ * Returns information about the flow definitions in your account.
+ */
+ listFlowDefinitions(params: SageMaker.Types.ListFlowDefinitionsRequest, callback?: (err: AWSError, data: SageMaker.Types.ListFlowDefinitionsResponse) => void): Request;
+ /**
+ * Returns information about the flow definitions in your account.
+ */
+ listFlowDefinitions(callback?: (err: AWSError, data: SageMaker.Types.ListFlowDefinitionsResponse) => void): Request;
+ /**
+ * Returns information about the human task user interfaces in your account.
+ */
+ listHumanTaskUis(params: SageMaker.Types.ListHumanTaskUisRequest, callback?: (err: AWSError, data: SageMaker.Types.ListHumanTaskUisResponse) => void): Request;
+ /**
+ * Returns information about the human task user interfaces in your account.
+ */
+ listHumanTaskUis(callback?: (err: AWSError, data: SageMaker.Types.ListHumanTaskUisResponse) => void): Request;
/**
* Gets a list of HyperParameterTuningJobSummary objects that describe the hyperparameter tuning jobs launched in your account.
*/
@@ -428,6 +748,22 @@ declare class SageMaker extends Service {
* Lists models created with the CreateModel API.
*/
listModels(callback?: (err: AWSError, data: SageMaker.Types.ListModelsOutput) => void): Request;
+ /**
+ * Returns list of all monitoring job executions.
+ */
+ listMonitoringExecutions(params: SageMaker.Types.ListMonitoringExecutionsRequest, callback?: (err: AWSError, data: SageMaker.Types.ListMonitoringExecutionsResponse) => void): Request;
+ /**
+ * Returns list of all monitoring job executions.
+ */
+ listMonitoringExecutions(callback?: (err: AWSError, data: SageMaker.Types.ListMonitoringExecutionsResponse) => void): Request;
+ /**
+ * Returns list of all monitoring schedules.
+ */
+ listMonitoringSchedules(params: SageMaker.Types.ListMonitoringSchedulesRequest, callback?: (err: AWSError, data: SageMaker.Types.ListMonitoringSchedulesResponse) => void): Request;
+ /**
+ * Returns list of all monitoring schedules.
+ */
+ listMonitoringSchedules(callback?: (err: AWSError, data: SageMaker.Types.ListMonitoringSchedulesResponse) => void): Request;
/**
* Lists notebook instance lifestyle configurations created with the CreateNotebookInstanceLifecycleConfig API.
*/
@@ -444,6 +780,14 @@ declare class SageMaker extends Service {
* Returns a list of the Amazon SageMaker notebook instances in the requester's account in an AWS Region.
*/
listNotebookInstances(callback?: (err: AWSError, data: SageMaker.Types.ListNotebookInstancesOutput) => void): Request;
+ /**
+ * Lists processing jobs that satisfy various filters.
+ */
+ listProcessingJobs(params: SageMaker.Types.ListProcessingJobsRequest, callback?: (err: AWSError, data: SageMaker.Types.ListProcessingJobsResponse) => void): Request;
+ /**
+ * Lists processing jobs that satisfy various filters.
+ */
+ listProcessingJobs(callback?: (err: AWSError, data: SageMaker.Types.ListProcessingJobsResponse) => void): Request;
/**
* Gets a list of the work teams that you are subscribed to in the AWS Marketplace. The list may be empty if no work team satisfies the filter specified in the NameContains parameter.
*/
@@ -484,6 +828,30 @@ declare class SageMaker extends Service {
* Lists transform jobs.
*/
listTransformJobs(callback?: (err: AWSError, data: SageMaker.Types.ListTransformJobsResponse) => void): Request;
+ /**
+ * Lists the trial components in your account. You can filter the list to show only components that were created in a specific time range. You can sort the list by trial component name or creation time.
+ */
+ listTrialComponents(params: SageMaker.Types.ListTrialComponentsRequest, callback?: (err: AWSError, data: SageMaker.Types.ListTrialComponentsResponse) => void): Request;
+ /**
+ * Lists the trial components in your account. You can filter the list to show only components that were created in a specific time range. You can sort the list by trial component name or creation time.
+ */
+ listTrialComponents(callback?: (err: AWSError, data: SageMaker.Types.ListTrialComponentsResponse) => void): Request;
+ /**
+ * Lists the trials in your account. Specify an experiment name to limit the list to the trials that are part of that experiment. The list can be filtered to show only trials that were created in a specific time range. The list can be sorted by trial name or creation time.
+ */
+ listTrials(params: SageMaker.Types.ListTrialsRequest, callback?: (err: AWSError, data: SageMaker.Types.ListTrialsResponse) => void): Request;
+ /**
+ * Lists the trials in your account. Specify an experiment name to limit the list to the trials that are part of that experiment. The list can be filtered to show only trials that were created in a specific time range. The list can be sorted by trial name or creation time.
+ */
+ listTrials(callback?: (err: AWSError, data: SageMaker.Types.ListTrialsResponse) => void): Request;
+ /**
+ * Lists user profiles.
+ */
+ listUserProfiles(params: SageMaker.Types.ListUserProfilesRequest, callback?: (err: AWSError, data: SageMaker.Types.ListUserProfilesResponse) => void): Request;
+ /**
+ * Lists user profiles.
+ */
+ listUserProfiles(callback?: (err: AWSError, data: SageMaker.Types.ListUserProfilesResponse) => void): Request;
/**
* Gets a list of work teams that you have defined in a region. The list may be empty if no work team satisfies the filter specified in the NameContains parameter.
*/
@@ -508,6 +876,14 @@ declare class SageMaker extends Service {
* Finds Amazon SageMaker resources that match a search query. Matching resource objects are returned as a list of SearchResult objects in the response. You can sort the search results by any resource property in a ascending or descending order. You can query against the following value types: numerical, text, Booleans, and timestamps.
*/
search(callback?: (err: AWSError, data: SageMaker.Types.SearchResponse) => void): Request;
+ /**
+ * Starts a previously stopped monitoring schedule. New monitoring schedules are immediately started after creation.
+ */
+ startMonitoringSchedule(params: SageMaker.Types.StartMonitoringScheduleRequest, callback?: (err: AWSError, data: {}) => void): Request<{}, AWSError>;
+ /**
+ * Starts a previously stopped monitoring schedule. New monitoring schedules are immediately started after creation.
+ */
+ startMonitoringSchedule(callback?: (err: AWSError, data: {}) => void): Request<{}, AWSError>;
/**
* Launches an ML compute instance with the latest version of the libraries and attaches your ML storage volume. After configuring the notebook instance, Amazon SageMaker sets the notebook instance status to InService. A notebook instance's status must be InService before you can connect to your Jupyter notebook.
*/
@@ -516,6 +892,14 @@ declare class SageMaker extends Service {
* Launches an ML compute instance with the latest version of the libraries and attaches your ML storage volume. After configuring the notebook instance, Amazon SageMaker sets the notebook instance status to InService. A notebook instance's status must be InService before you can connect to your Jupyter notebook.
*/
startNotebookInstance(callback?: (err: AWSError, data: {}) => void): Request<{}, AWSError>;
+ /**
+ * A method for forcing the termination of a running job.
+ */
+ stopAutoMLJob(params: SageMaker.Types.StopAutoMLJobRequest, callback?: (err: AWSError, data: {}) => void): Request<{}, AWSError>;
+ /**
+ * A method for forcing the termination of a running job.
+ */
+ stopAutoMLJob(callback?: (err: AWSError, data: {}) => void): Request<{}, AWSError>;
/**
* Stops a model compilation job. To stop a job, Amazon SageMaker sends the algorithm the SIGTERM signal. This gracefully shuts the job down. If the job hasn't stopped, it sends the SIGKILL signal. When it receives a StopCompilationJob request, Amazon SageMaker changes the CompilationJobSummary$CompilationJobStatus of the job to Stopping. After Amazon SageMaker stops the job, it sets the CompilationJobSummary$CompilationJobStatus to Stopped.
*/
@@ -540,6 +924,14 @@ declare class SageMaker extends Service {
* Stops a running labeling job. A job that is stopped cannot be restarted. Any results obtained before the job is stopped are placed in the Amazon S3 output bucket.
*/
stopLabelingJob(callback?: (err: AWSError, data: {}) => void): Request<{}, AWSError>;
+ /**
+ * Stops a previously started monitoring schedule.
+ */
+ stopMonitoringSchedule(params: SageMaker.Types.StopMonitoringScheduleRequest, callback?: (err: AWSError, data: {}) => void): Request<{}, AWSError>;
+ /**
+ * Stops a previously started monitoring schedule.
+ */
+ stopMonitoringSchedule(callback?: (err: AWSError, data: {}) => void): Request<{}, AWSError>;
/**
* Terminates the ML compute instance. Before terminating the instance, Amazon SageMaker disconnects the ML storage volume from it. Amazon SageMaker preserves the ML storage volume. Amazon SageMaker stops charging you for the ML compute instance when you call StopNotebookInstance. To access data on the ML storage volume for a notebook instance that has been terminated, call the StartNotebookInstance API. StartNotebookInstance launches another ML compute instance, configures it, and attaches the preserved ML storage volume so you can continue your work.
*/
@@ -548,6 +940,14 @@ declare class SageMaker extends Service {
* Terminates the ML compute instance. Before terminating the instance, Amazon SageMaker disconnects the ML storage volume from it. Amazon SageMaker preserves the ML storage volume. Amazon SageMaker stops charging you for the ML compute instance when you call StopNotebookInstance. To access data on the ML storage volume for a notebook instance that has been terminated, call the StartNotebookInstance API. StartNotebookInstance launches another ML compute instance, configures it, and attaches the preserved ML storage volume so you can continue your work.
*/
stopNotebookInstance(callback?: (err: AWSError, data: {}) => void): Request<{}, AWSError>;
+ /**
+ * Stops a processing job.
+ */
+ stopProcessingJob(params: SageMaker.Types.StopProcessingJobRequest, callback?: (err: AWSError, data: {}) => void): Request<{}, AWSError>;
+ /**
+ * Stops a processing job.
+ */
+ stopProcessingJob(callback?: (err: AWSError, data: {}) => void): Request<{}, AWSError>;
/**
* Stops a training job. To stop a job, Amazon SageMaker sends the algorithm the SIGTERM signal, which delays job termination for 120 seconds. Algorithms might use this 120-second window to save the model artifacts, so the results of the training is not lost. When it receives a StopTrainingJob request, Amazon SageMaker changes the status of the job to Stopping. After Amazon SageMaker stops the job, it sets the status to Stopped.
*/
@@ -572,6 +972,14 @@ declare class SageMaker extends Service {
* Updates the specified Git repository with the specified values.
*/
updateCodeRepository(callback?: (err: AWSError, data: SageMaker.Types.UpdateCodeRepositoryOutput) => void): Request;
+ /**
+ * Updates a domain. Changes will impact all of the people in the domain.
+ */
+ updateDomain(params: SageMaker.Types.UpdateDomainRequest, callback?: (err: AWSError, data: SageMaker.Types.UpdateDomainResponse) => void): Request;
+ /**
+ * Updates a domain. Changes will impact all of the people in the domain.
+ */
+ updateDomain(callback?: (err: AWSError, data: SageMaker.Types.UpdateDomainResponse) => void): Request;
/**
* Deploys the new EndpointConfig specified in the request, switches to using newly created endpoint, and then deletes resources provisioned for the endpoint using the previous EndpointConfig (there is no availability loss). When Amazon SageMaker receives the request, it sets the endpoint status to Updating. After updating the endpoint, it sets the status to InService. To check the status of an endpoint, use the DescribeEndpoint API. You must not delete an EndpointConfig in use by an endpoint that is live or while the UpdateEndpoint or CreateEndpoint operations are being performed on the endpoint. To update an endpoint, you must create a new EndpointConfig.
*/
@@ -588,6 +996,22 @@ declare class SageMaker extends Service {
* Updates variant weight of one or more variants associated with an existing endpoint, or capacity of one variant associated with an existing endpoint. When it receives the request, Amazon SageMaker sets the endpoint status to Updating. After updating the endpoint, it sets the status to InService. To check the status of an endpoint, use the DescribeEndpoint API.
*/
updateEndpointWeightsAndCapacities(callback?: (err: AWSError, data: SageMaker.Types.UpdateEndpointWeightsAndCapacitiesOutput) => void): Request;
+ /**
+ * Adds, updates, or removes the description of an experiment. Updates the display name of an experiment.
+ */
+ updateExperiment(params: SageMaker.Types.UpdateExperimentRequest, callback?: (err: AWSError, data: SageMaker.Types.UpdateExperimentResponse) => void): Request;
+ /**
+ * Adds, updates, or removes the description of an experiment. Updates the display name of an experiment.
+ */
+ updateExperiment(callback?: (err: AWSError, data: SageMaker.Types.UpdateExperimentResponse) => void): Request;
+ /**
+ * Updates a previously created schedule.
+ */
+ updateMonitoringSchedule(params: SageMaker.Types.UpdateMonitoringScheduleRequest, callback?: (err: AWSError, data: SageMaker.Types.UpdateMonitoringScheduleResponse) => void): Request;
+ /**
+ * Updates a previously created schedule.
+ */
+ updateMonitoringSchedule(callback?: (err: AWSError, data: SageMaker.Types.UpdateMonitoringScheduleResponse) => void): Request;
/**
* Updates a notebook instance. NotebookInstance updates include upgrading or downgrading the ML compute instance used for your notebook instance to accommodate changes in your workload requirements.
*/
@@ -604,6 +1028,30 @@ declare class SageMaker extends Service {
* Updates a notebook instance lifecycle configuration created with the CreateNotebookInstanceLifecycleConfig API.
*/
updateNotebookInstanceLifecycleConfig(callback?: (err: AWSError, data: SageMaker.Types.UpdateNotebookInstanceLifecycleConfigOutput) => void): Request;
+ /**
+ * Updates the display name of a trial.
+ */
+ updateTrial(params: SageMaker.Types.UpdateTrialRequest, callback?: (err: AWSError, data: SageMaker.Types.UpdateTrialResponse) => void): Request;
+ /**
+ * Updates the display name of a trial.
+ */
+ updateTrial(callback?: (err: AWSError, data: SageMaker.Types.UpdateTrialResponse) => void): Request;
+ /**
+ * Updates one or more properties of a trial component.
+ */
+ updateTrialComponent(params: SageMaker.Types.UpdateTrialComponentRequest, callback?: (err: AWSError, data: SageMaker.Types.UpdateTrialComponentResponse) => void): Request;
+ /**
+ * Updates one or more properties of a trial component.
+ */
+ updateTrialComponent(callback?: (err: AWSError, data: SageMaker.Types.UpdateTrialComponentResponse) => void): Request;
+ /**
+ * Updates a user profile.
+ */
+ updateUserProfile(params: SageMaker.Types.UpdateUserProfileRequest, callback?: (err: AWSError, data: SageMaker.Types.UpdateUserProfileResponse) => void): Request;
+ /**
+ * Updates a user profile.
+ */
+ updateUserProfile(callback?: (err: AWSError, data: SageMaker.Types.UpdateUserProfileResponse) => void): Request;
/**
* Updates an existing work team with new member definitions or description.
*/
@@ -668,6 +1116,14 @@ declare class SageMaker extends Service {
* Waits for the transformJobCompletedOrStopped state by periodically calling the underlying SageMaker.describeTransformJoboperation every 60 seconds (at most 60 times).
*/
waitFor(state: "transformJobCompletedOrStopped", callback?: (err: AWSError, data: SageMaker.Types.DescribeTransformJobResponse) => void): Request;
+ /**
+ * Waits for the processingJobCompletedOrStopped state by periodically calling the underlying SageMaker.describeProcessingJoboperation every 60 seconds (at most 60 times).
+ */
+ waitFor(state: "processingJobCompletedOrStopped", params: SageMaker.Types.DescribeProcessingJobRequest & {$waiter?: WaiterConfiguration}, callback?: (err: AWSError, data: SageMaker.Types.DescribeProcessingJobResponse) => void): Request;
+ /**
+ * Waits for the processingJobCompletedOrStopped state by periodically calling the underlying SageMaker.describeProcessingJoboperation every 60 seconds (at most 60 times).
+ */
+ waitFor(state: "processingJobCompletedOrStopped", callback?: (err: AWSError, data: SageMaker.Types.DescribeProcessingJobResponse) => void): Request;
}
declare namespace SageMaker {
export type Accept = string;
@@ -709,6 +1165,10 @@ declare namespace SageMaker {
* A list of metric definition objects. Each object specifies the metric name and regular expressions used to parse algorithm logs. Amazon SageMaker publishes each metric to Amazon CloudWatch.
*/
MetricDefinitions?: MetricDefinitionList;
+ /**
+ * To generate and save time-series metrics during training, set to true. The default is false and time-series metrics aren't generated except in the following cases: You use one of the Amazon SageMaker built-in algorithms You use one of the following prebuilt Amazon SageMaker Docker images: Tensorflow MXNet PyTorch You specify at least one MetricDefinition
+ */
+ EnableSageMakerMetricsTimeSeries?: Boolean;
}
export type AlgorithmStatus = "Pending"|"InProgress"|"Completed"|"Failed"|"Deleting"|string;
export interface AlgorithmStatusDetails {
@@ -786,45 +1246,352 @@ declare namespace SageMaker {
}
export interface AnnotationConsolidationConfig {
/**
- * The Amazon Resource Name (ARN) of a Lambda function implements the logic for annotation consolidation. For the built-in bounding box, image classification, semantic segmentation, and text classification task types, Amazon SageMaker Ground Truth provides the following Lambda functions: Bounding box - Finds the most similar boxes from different workers based on the Jaccard index of the boxes. arn:aws:lambda:us-east-1:432418664414:function:ACS-BoundingBox arn:aws:lambda:us-east-2:266458841044:function:ACS-BoundingBox arn:aws:lambda:us-west-2:081040173940:function:ACS-BoundingBox arn:aws:lambda:eu-west-1:568282634449:function:ACS-BoundingBox arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-BoundingBox arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-BoundingBox arn:aws:lambda:ap-south-1:565803892007:function:ACS-BoundingBox arn:aws:lambda:eu-central-1:203001061592:function:ACS-BoundingBox arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-BoundingBox arn:aws:lambda:eu-west-2:487402164563:function:ACS-BoundingBox arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-BoundingBox arn:aws:lambda:ca-central-1:918755190332:function:ACS-BoundingBox Image classification - Uses a variant of the Expectation Maximization approach to estimate the true class of an image based on annotations from individual workers. arn:aws:lambda:us-east-1:432418664414:function:ACS-ImageMultiClass arn:aws:lambda:us-east-2:266458841044:function:ACS-ImageMultiClass arn:aws:lambda:us-west-2:081040173940:function:ACS-ImageMultiClass arn:aws:lambda:eu-west-1:568282634449:function:ACS-ImageMultiClass arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-ImageMultiClass arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-ImageMultiClass arn:aws:lambda:ap-south-1:565803892007:function:ACS-ImageMultiClass arn:aws:lambda:eu-central-1:203001061592:function:ACS-ImageMultiClass arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-ImageMultiClass arn:aws:lambda:eu-west-2:487402164563:function:ACS-ImageMultiClass arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-ImageMultiClass arn:aws:lambda:ca-central-1:918755190332:function:ACS-ImageMultiClass Semantic segmentation - Treats each pixel in an image as a multi-class classification and treats pixel annotations from workers as "votes" for the correct label. arn:aws:lambda:us-east-1:432418664414:function:ACS-SemanticSegmentation arn:aws:lambda:us-east-2:266458841044:function:ACS-SemanticSegmentation arn:aws:lambda:us-west-2:081040173940:function:ACS-SemanticSegmentation arn:aws:lambda:eu-west-1:568282634449:function:ACS-SemanticSegmentation arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-SemanticSegmentation arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-SemanticSegmentation arn:aws:lambda:ap-south-1:565803892007:function:ACS-SemanticSegmentation arn:aws:lambda:eu-central-1:203001061592:function:ACS-SemanticSegmentation arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-SemanticSegmentation arn:aws:lambda:eu-west-2:487402164563:function:ACS-SemanticSegmentation arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-SemanticSegmentation arn:aws:lambda:ca-central-1:918755190332:function:ACS-SemanticSegmentation Text classification - Uses a variant of the Expectation Maximization approach to estimate the true class of text based on annotations from individual workers. arn:aws:lambda:us-east-1:432418664414:function:ACS-TextMultiClass arn:aws:lambda:us-east-2:266458841044:function:ACS-TextMultiClass arn:aws:lambda:us-west-2:081040173940:function:ACS-TextMultiClass arn:aws:lambda:eu-west-1:568282634449:function:ACS-TextMultiClass arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-TextMultiClass arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-TextMultiClass arn:aws:lambda:ap-south-1:565803892007:function:ACS-TextMultiClass arn:aws:lambda:eu-central-1:203001061592:function:ACS-TextMultiClass arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-TextMultiClass arn:aws:lambda:eu-west-2:487402164563:function:ACS-TextMultiClass arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-TextMultiClass arn:aws:lambda:ca-central-1:918755190332:function:ACS-TextMultiClass Named entity eecognition - Groups similar selections and calculates aggregate boundaries, resolving to most-assigned label. arn:aws:lambda:us-east-1:432418664414:function:ACS-NamedEntityRecognition arn:aws:lambda:us-east-2:266458841044:function:ACS-NamedEntityRecognition arn:aws:lambda:us-west-2:081040173940:function:ACS-NamedEntityRecognition arn:aws:lambda:eu-west-1:568282634449:function:ACS-NamedEntityRecognition arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-NamedEntityRecognition arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-NamedEntityRecognition arn:aws:lambda:ap-south-1:565803892007:function:ACS-NamedEntityRecognition arn:aws:lambda:eu-central-1:203001061592:function:ACS-NamedEntityRecognition arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-NamedEntityRecognition arn:aws:lambda:eu-west-2:487402164563:function:ACS-NamedEntityRecognition arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-NamedEntityRecognition arn:aws:lambda:ca-central-1:918755190332:function:ACS-NamedEntityRecognition For more information, see Annotation Consolidation.
+ * The Amazon Resource Name (ARN) of a Lambda function implements the logic for annotation consolidation. For the built-in bounding box, image classification, semantic segmentation, and text classification task types, Amazon SageMaker Ground Truth provides the following Lambda functions: Bounding box - Finds the most similar boxes from different workers based on the Jaccard index of the boxes. arn:aws:lambda:us-east-1:432418664414:function:ACS-BoundingBox arn:aws:lambda:us-east-2:266458841044:function:ACS-BoundingBox arn:aws:lambda:us-west-2:081040173940:function:ACS-BoundingBox arn:aws:lambda:eu-west-1:568282634449:function:ACS-BoundingBox arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-BoundingBox arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-BoundingBox arn:aws:lambda:ap-south-1:565803892007:function:ACS-BoundingBox arn:aws:lambda:eu-central-1:203001061592:function:ACS-BoundingBox arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-BoundingBox arn:aws:lambda:eu-west-2:487402164563:function:ACS-BoundingBox arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-BoundingBox arn:aws:lambda:ca-central-1:918755190332:function:ACS-BoundingBox Image classification - Uses a variant of the Expectation Maximization approach to estimate the true class of an image based on annotations from individual workers. arn:aws:lambda:us-east-1:432418664414:function:ACS-ImageMultiClass arn:aws:lambda:us-east-2:266458841044:function:ACS-ImageMultiClass arn:aws:lambda:us-west-2:081040173940:function:ACS-ImageMultiClass arn:aws:lambda:eu-west-1:568282634449:function:ACS-ImageMultiClass arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-ImageMultiClass arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-ImageMultiClass arn:aws:lambda:ap-south-1:565803892007:function:ACS-ImageMultiClass arn:aws:lambda:eu-central-1:203001061592:function:ACS-ImageMultiClass arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-ImageMultiClass arn:aws:lambda:eu-west-2:487402164563:function:ACS-ImageMultiClass arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-ImageMultiClass arn:aws:lambda:ca-central-1:918755190332:function:ACS-ImageMultiClass Semantic segmentation - Treats each pixel in an image as a multi-class classification and treats pixel annotations from workers as "votes" for the correct label. arn:aws:lambda:us-east-1:432418664414:function:ACS-SemanticSegmentation arn:aws:lambda:us-east-2:266458841044:function:ACS-SemanticSegmentation arn:aws:lambda:us-west-2:081040173940:function:ACS-SemanticSegmentation arn:aws:lambda:eu-west-1:568282634449:function:ACS-SemanticSegmentation arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-SemanticSegmentation arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-SemanticSegmentation arn:aws:lambda:ap-south-1:565803892007:function:ACS-SemanticSegmentation arn:aws:lambda:eu-central-1:203001061592:function:ACS-SemanticSegmentation arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-SemanticSegmentation arn:aws:lambda:eu-west-2:487402164563:function:ACS-SemanticSegmentation arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-SemanticSegmentation arn:aws:lambda:ca-central-1:918755190332:function:ACS-SemanticSegmentation Text classification - Uses a variant of the Expectation Maximization approach to estimate the true class of text based on annotations from individual workers. arn:aws:lambda:us-east-1:432418664414:function:ACS-TextMultiClass arn:aws:lambda:us-east-2:266458841044:function:ACS-TextMultiClass arn:aws:lambda:us-west-2:081040173940:function:ACS-TextMultiClass arn:aws:lambda:eu-west-1:568282634449:function:ACS-TextMultiClass arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-TextMultiClass arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-TextMultiClass arn:aws:lambda:ap-south-1:565803892007:function:ACS-TextMultiClass arn:aws:lambda:eu-central-1:203001061592:function:ACS-TextMultiClass arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-TextMultiClass arn:aws:lambda:eu-west-2:487402164563:function:ACS-TextMultiClass arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-TextMultiClass arn:aws:lambda:ca-central-1:918755190332:function:ACS-TextMultiClass Named entity recognition - Groups similar selections and calculates aggregate boundaries, resolving to most-assigned label. arn:aws:lambda:us-east-1:432418664414:function:ACS-NamedEntityRecognition arn:aws:lambda:us-east-2:266458841044:function:ACS-NamedEntityRecognition arn:aws:lambda:us-west-2:081040173940:function:ACS-NamedEntityRecognition arn:aws:lambda:eu-west-1:568282634449:function:ACS-NamedEntityRecognition arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-NamedEntityRecognition arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-NamedEntityRecognition arn:aws:lambda:ap-south-1:565803892007:function:ACS-NamedEntityRecognition arn:aws:lambda:eu-central-1:203001061592:function:ACS-NamedEntityRecognition arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-NamedEntityRecognition arn:aws:lambda:eu-west-2:487402164563:function:ACS-NamedEntityRecognition arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-NamedEntityRecognition arn:aws:lambda:ca-central-1:918755190332:function:ACS-NamedEntityRecognition Bounding box verification - Uses a variant of the Expectation Maximization approach to estimate the true class of verification judgement for bounding box labels based on annotations from individual workers. arn:aws:lambda:us-east-1:432418664414:function:ACS-VerificationBoundingBox arn:aws:lambda:us-east-2:266458841044:function:ACS-VerificationBoundingBox arn:aws:lambda:us-west-2:081040173940:function:ACS-VerificationBoundingBox arn:aws:lambda:eu-west-1:568282634449:function:ACS-VerificationBoundingBox arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-VerificationBoundingBox arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-VerificationBoundingBox arn:aws:lambda:ap-south-1:565803892007:function:ACS-VerificationBoundingBox arn:aws:lambda:eu-central-1:203001061592:function:ACS-VerificationBoundingBox arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-VerificationBoundingBox arn:aws:lambda:eu-west-2:487402164563:function:ACS-VerificationBoundingBox arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-VerificationBoundingBox arn:aws:lambda:ca-central-1:918755190332:function:ACS-VerificationBoundingBox Semantic segmentation verification - Uses a variant of the Expectation Maximization approach to estimate the true class of verification judgement for semantic segmentation labels based on annotations from individual workers. arn:aws:lambda:us-east-1:432418664414:function:ACS-VerificationSemanticSegmentation arn:aws:lambda:us-east-2:266458841044:function:ACS-VerificationSemanticSegmentation arn:aws:lambda:us-west-2:081040173940:function:ACS-VerificationSemanticSegmentation arn:aws:lambda:eu-west-1:568282634449:function:ACS-VerificationSemanticSegmentation arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-VerificationSemanticSegmentation arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-VerificationSemanticSegmentation arn:aws:lambda:ap-south-1:565803892007:function:ACS-VerificationSemanticSegmentation arn:aws:lambda:eu-central-1:203001061592:function:ACS-VerificationSemanticSegmentation arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-VerificationSemanticSegmentation arn:aws:lambda:eu-west-2:487402164563:function:ACS-VerificationSemanticSegmentation arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-VerificationSemanticSegmentation arn:aws:lambda:ca-central-1:918755190332:function:ACS-VerificationSemanticSegmentation Bounding box adjustment - Finds the most similar boxes from different workers based on the Jaccard index of the adjusted annotations. arn:aws:lambda:us-east-1:432418664414:function:ACS-AdjustmentBoundingBox arn:aws:lambda:us-east-2:266458841044:function:ACS-AdjustmentBoundingBox arn:aws:lambda:us-west-2:081040173940:function:ACS-AdjustmentBoundingBox arn:aws:lambda:eu-west-1:568282634449:function:ACS-AdjustmentBoundingBox arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-AdjustmentBoundingBox arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-AdjustmentBoundingBox arn:aws:lambda:ap-south-1:565803892007:function:ACS-AdjustmentBoundingBox arn:aws:lambda:eu-central-1:203001061592:function:ACS-AdjustmentBoundingBox arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-AdjustmentBoundingBox arn:aws:lambda:eu-west-2:487402164563:function:ACS-AdjustmentBoundingBox arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-AdjustmentBoundingBox arn:aws:lambda:ca-central-1:918755190332:function:ACS-AdjustmentBoundingBox Semantic segmentation adjustment - Treats each pixel in an image as a multi-class classification and treats pixel adjusted annotations from workers as "votes" for the correct label. arn:aws:lambda:us-east-1:432418664414:function:ACS-AdjustmentSemanticSegmentation arn:aws:lambda:us-east-2:266458841044:function:ACS-AdjustmentSemanticSegmentation arn:aws:lambda:us-west-2:081040173940:function:ACS-AdjustmentSemanticSegmentation arn:aws:lambda:eu-west-1:568282634449:function:ACS-AdjustmentSemanticSegmentation arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-AdjustmentSemanticSegmentation arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-AdjustmentSemanticSegmentation arn:aws:lambda:ap-south-1:565803892007:function:ACS-AdjustmentSemanticSegmentation arn:aws:lambda:eu-central-1:203001061592:function:ACS-AdjustmentSemanticSegmentation arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-AdjustmentSemanticSegmentation arn:aws:lambda:eu-west-2:487402164563:function:ACS-AdjustmentSemanticSegmentation arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-AdjustmentSemanticSegmentation arn:aws:lambda:ca-central-1:918755190332:function:ACS-AdjustmentSemanticSegmentation For more information, see Annotation Consolidation.
*/
AnnotationConsolidationLambdaArn: LambdaFunctionArn;
}
- export type ArnOrName = string;
- export type AssemblyType = "None"|"Line"|string;
- export type AttributeName = string;
- export type AttributeNames = AttributeName[];
- export type BatchStrategy = "MultiRecord"|"SingleRecord"|string;
- export type BillableTimeInSeconds = number;
- export type Boolean = boolean;
- export type BooleanOperator = "And"|"Or"|string;
- export type Branch = string;
- export interface CategoricalParameterRange {
+ export type AppArn = string;
+ export interface AppDetails {
/**
- * The name of the categorical hyperparameter to tune.
+ * The domain ID.
*/
- Name: ParameterKey;
+ DomainId?: DomainId;
/**
- * A list of the categories for the hyperparameter.
+ * The user profile name.
*/
- Values: ParameterValues;
- }
- export interface CategoricalParameterRangeSpecification {
+ UserProfileName?: UserProfileName;
/**
- * The allowed categories for the hyperparameter.
+ * The type of app.
*/
- Values: ParameterValues;
- }
- export type CategoricalParameterRanges = CategoricalParameterRange[];
- export type Cents = number;
- export type CertifyForMarketplace = boolean;
- export interface Channel {
+ AppType?: AppType;
/**
- * The name of the channel.
+ * The name of the app.
*/
- ChannelName: ChannelName;
+ AppName?: AppName;
/**
- * The location of the channel data.
+ * The status.
+ */
+ Status?: AppStatus;
+ /**
+ * The creation time.
+ */
+ CreationTime?: CreationTime;
+ }
+ export type AppInstanceType = "system"|"ml.t3.micro"|"ml.t3.small"|"ml.t3.medium"|"ml.t3.large"|"ml.t3.xlarge"|"ml.t3.2xlarge"|"ml.m5.large"|"ml.m5.xlarge"|"ml.m5.2xlarge"|"ml.m5.4xlarge"|"ml.m5.8xlarge"|"ml.m5.12xlarge"|"ml.m5.16xlarge"|"ml.m5.24xlarge"|"ml.c5.large"|"ml.c5.xlarge"|"ml.c5.2xlarge"|"ml.c5.4xlarge"|"ml.c5.9xlarge"|"ml.c5.12xlarge"|"ml.c5.18xlarge"|"ml.c5.24xlarge"|"ml.p3.2xlarge"|"ml.p3.8xlarge"|"ml.p3.16xlarge"|"ml.g4dn.xlarge"|"ml.g4dn.2xlarge"|"ml.g4dn.4xlarge"|"ml.g4dn.8xlarge"|"ml.g4dn.12xlarge"|"ml.g4dn.16xlarge"|string;
+ export type AppList = AppDetails[];
+ export type AppName = string;
+ export type AppSortKey = "CreationTime"|string;
+ export interface AppSpecification {
+ /**
+ * The container image to be run by the processing job.
+ */
+ ImageUri: ImageUri;
+ /**
+ * The entrypoint for a container used to run a processing job.
+ */
+ ContainerEntrypoint?: ContainerEntrypoint;
+ /**
+ * The arguments for a container used to run a processing job.
+ */
+ ContainerArguments?: ContainerArguments;
+ }
+ export type AppStatus = "Deleted"|"Deleting"|"Failed"|"InService"|"Pending"|string;
+ export type AppType = "JupyterServer"|"KernelGateway"|"TensorBoard"|string;
+ export type ArnOrName = string;
+ export type AssemblyType = "None"|"Line"|string;
+ export interface AssociateTrialComponentRequest {
+ /**
+ * The name of the component to associated with the trial.
+ */
+ TrialComponentName: ExperimentEntityName;
+ /**
+ * The name of the trial to associate with.
+ */
+ TrialName: ExperimentEntityName;
+ }
+ export interface AssociateTrialComponentResponse {
+ /**
+ * The ARN of the trial component.
+ */
+ TrialComponentArn?: TrialComponentArn;
+ /**
+ * The Amazon Resource Name (ARN) of the trial.
+ */
+ TrialArn?: TrialArn;
+ }
+ export type AttributeName = string;
+ export type AttributeNames = AttributeName[];
+ export type AuthMode = "SSO"|"IAM"|string;
+ export interface AutoMLCandidate {
+ /**
+ * The candidate name.
+ */
+ CandidateName: CandidateName;
+ FinalAutoMLJobObjectiveMetric?: FinalAutoMLJobObjectiveMetric;
+ /**
+ * The objective status.
+ */
+ ObjectiveStatus: ObjectiveStatus;
+ /**
+ * The candidate's steps.
+ */
+ CandidateSteps: CandidateSteps;
+ /**
+ * The candidate's status.
+ */
+ CandidateStatus: CandidateStatus;
+ /**
+ * The inference containers.
+ */
+ InferenceContainers?: AutoMLContainerDefinitions;
+ /**
+ * The creation time.
+ */
+ CreationTime: Timestamp;
+ /**
+ * The end time.
+ */
+ EndTime?: Timestamp;
+ /**
+ * The last modified time.
+ */
+ LastModifiedTime: Timestamp;
+ /**
+ * The failure reason.
+ */
+ FailureReason?: AutoMLFailureReason;
+ }
+ export interface AutoMLCandidateStep {
+ /**
+ * Whether the Candidate is at the transform, training, or processing step.
+ */
+ CandidateStepType: CandidateStepType;
+ /**
+ * The ARN for the Candidate's step.
+ */
+ CandidateStepArn: CandidateStepArn;
+ /**
+ * The name for the Candidate's step.
+ */
+ CandidateStepName: CandidateStepName;
+ }
+ export type AutoMLCandidates = AutoMLCandidate[];
+ export interface AutoMLChannel {
+ /**
+ * The data source.
+ */
+ DataSource: AutoMLDataSource;
+ /**
+ * You can use Gzip or None. The default value is None.
+ */
+ CompressionType?: CompressionType;
+ /**
+ * The name of the target variable in supervised learning, a.k.a. ‘y’.
+ */
+ TargetAttributeName: TargetAttributeName;
+ }
+ export interface AutoMLContainerDefinition {
+ /**
+ * The ECR path of the container. Refer to ContainerDefinition for more details.
+ */
+ Image: Image;
+ /**
+ * The location of the model artifacts. Refer to ContainerDefinition for more details.
+ */
+ ModelDataUrl: Url;
+ /**
+ * Environment variables to set in the container. Refer to ContainerDefinition for more details.
+ */
+ Environment?: EnvironmentMap;
+ }
+ export type AutoMLContainerDefinitions = AutoMLContainerDefinition[];
+ export interface AutoMLDataSource {
+ /**
+ * The Amazon S3 location of the data.
+ */
+ S3DataSource: AutoMLS3DataSource;
+ }
+ export type AutoMLFailureReason = string;
+ export type AutoMLInputDataConfig = AutoMLChannel[];
+ export type AutoMLJobArn = string;
+ export interface AutoMLJobArtifacts {
+ /**
+ * The URL to the notebook location.
+ */
+ CandidateDefinitionNotebookLocation?: CandidateDefinitionNotebookLocation;
+ /**
+ * The URL to the notebook location.
+ */
+ DataExplorationNotebookLocation?: DataExplorationNotebookLocation;
+ }
+ export interface AutoMLJobCompletionCriteria {
+ /**
+ * The maximum number of times a training job is allowed to run.
+ */
+ MaxCandidates?: MaxCandidates;
+ /**
+ * The maximum time, in seconds, a job is allowed to run.
+ */
+ MaxRuntimePerTrainingJobInSeconds?: MaxRuntimePerTrainingJobInSeconds;
+ /**
+ * The maximum time, in seconds, an AutoML job is allowed to wait for a trial to complete. It must be equal to or greater than MaxRuntimePerTrainingJobInSeconds.
+ */
+ MaxAutoMLJobRuntimeInSeconds?: MaxAutoMLJobRuntimeInSeconds;
+ }
+ export interface AutoMLJobConfig {
+ /**
+ * How long a job is allowed to run, or how many candidates a job is allowed to generate.
+ */
+ CompletionCriteria?: AutoMLJobCompletionCriteria;
+ /**
+ * Security configuration for traffic encryption or Amazon VPC settings.
+ */
+ SecurityConfig?: AutoMLSecurityConfig;
+ }
+ export type AutoMLJobName = string;
+ export interface AutoMLJobObjective {
+ /**
+ * The name of the metric.
+ */
+ MetricName: AutoMLMetricEnum;
+ }
+ export type AutoMLJobObjectiveType = "Maximize"|"Minimize"|string;
+ export type AutoMLJobSecondaryStatus = "Starting"|"AnalyzingData"|"FeatureEngineering"|"ModelTuning"|"MaxCandidatesReached"|"Failed"|"Stopped"|"MaxAutoMLJobRuntimeReached"|"Stopping"|"CandidateDefinitionsGenerated"|string;
+ export type AutoMLJobStatus = "Completed"|"InProgress"|"Failed"|"Stopped"|"Stopping"|string;
+ export type AutoMLJobSummaries = AutoMLJobSummary[];
+ export interface AutoMLJobSummary {
+ /**
+ * The name of the object you are requesting.
+ */
+ AutoMLJobName: AutoMLJobName;
+ /**
+ * The ARN of the job.
+ */
+ AutoMLJobArn: AutoMLJobArn;
+ /**
+ * The job's status.
+ */
+ AutoMLJobStatus: AutoMLJobStatus;
+ /**
+ * The job's secondary status.
+ */
+ AutoMLJobSecondaryStatus: AutoMLJobSecondaryStatus;
+ /**
+ * When the job was created.
+ */
+ CreationTime: Timestamp;
+ /**
+ * The end time.
+ */
+ EndTime?: Timestamp;
+ /**
+ * When the job was last modified.
+ */
+ LastModifiedTime: Timestamp;
+ /**
+ * The failure reason.
+ */
+ FailureReason?: AutoMLFailureReason;
+ }
+ export type AutoMLMaxResults = number;
+ export type AutoMLMetricEnum = "Accuracy"|"MSE"|"F1"|"F1macro"|string;
+ export type AutoMLNameContains = string;
+ export interface AutoMLOutputDataConfig {
+ /**
+ * The AWS KMS encryption key ID.
+ */
+ KmsKeyId?: KmsKeyId;
+ /**
+ * The Amazon S3 output path. Must be 128 characters or less.
+ */
+ S3OutputPath: S3Uri;
+ }
+ export interface AutoMLS3DataSource {
+ /**
+ * The data type.
+ */
+ S3DataType: AutoMLS3DataType;
+ /**
+ * The URL to the Amazon S3 data source.
+ */
+ S3Uri: S3Uri;
+ }
+ export type AutoMLS3DataType = "ManifestFile"|"S3Prefix"|string;
+ export interface AutoMLSecurityConfig {
+ /**
+ * The key used to encrypt stored data.
+ */
+ VolumeKmsKeyId?: KmsKeyId;
+ /**
+ * Whether to use traffic encryption between the container layers.
+ */
+ EnableInterContainerTrafficEncryption?: Boolean;
+ /**
+ * VPC configuration.
+ */
+ VpcConfig?: VpcConfig;
+ }
+ export type AutoMLSortBy = "Name"|"CreationTime"|"Status"|string;
+ export type AutoMLSortOrder = "Ascending"|"Descending"|string;
+ export type AwsManagedHumanLoopRequestSource = "AWS/Rekognition/DetectModerationLabels/Image/V3"|"AWS/Textract/AnalyzeDocument/Forms/V1"|string;
+ export type BatchStrategy = "MultiRecord"|"SingleRecord"|string;
+ export type BillableTimeInSeconds = number;
+ export type Boolean = boolean;
+ export type BooleanOperator = "And"|"Or"|string;
+ export type Branch = string;
+ export type CandidateDefinitionNotebookLocation = string;
+ export type CandidateName = string;
+ export type CandidateSortBy = "CreationTime"|"Status"|"FinalObjectiveMetricValue"|string;
+ export type CandidateStatus = "Completed"|"InProgress"|"Failed"|"Stopped"|"Stopping"|string;
+ export type CandidateStepArn = string;
+ export type CandidateStepName = string;
+ export type CandidateStepType = "AWS::SageMaker::TrainingJob"|"AWS::SageMaker::TransformJob"|"AWS::SageMaker::ProcessingJob"|string;
+ export type CandidateSteps = AutoMLCandidateStep[];
+ export interface CaptureContentTypeHeader {
+ /**
+ *
+ */
+ CsvContentTypes?: CsvContentTypes;
+ /**
+ *
+ */
+ JsonContentTypes?: JsonContentTypes;
+ }
+ export type CaptureMode = "Input"|"Output"|string;
+ export interface CaptureOption {
+ /**
+ *
+ */
+ CaptureMode: CaptureMode;
+ }
+ export type CaptureOptionList = CaptureOption[];
+ export type CaptureStatus = "Started"|"Stopped"|string;
+ export interface CategoricalParameterRange {
+ /**
+ * The name of the categorical hyperparameter to tune.
+ */
+ Name: ParameterKey;
+ /**
+ * A list of the categories for the hyperparameter.
+ */
+ Values: ParameterValues;
+ }
+ export interface CategoricalParameterRangeSpecification {
+ /**
+ * The allowed categories for the hyperparameter.
+ */
+ Values: ParameterValues;
+ }
+ export type CategoricalParameterRanges = CategoricalParameterRange[];
+ export type Cents = number;
+ export type CertifyForMarketplace = boolean;
+ export interface Channel {
+ /**
+ * The name of the channel.
+ */
+ ChannelName: ChannelName;
+ /**
+ * The location of the channel data.
*/
DataSource: DataSource;
/**
@@ -932,6 +1699,19 @@ declare namespace SageMaker {
}
export type CognitoUserGroup = string;
export type CognitoUserPool = string;
+ export interface CollectionConfiguration {
+ /**
+ * The name of the tensor collection.
+ */
+ CollectionName?: CollectionName;
+ /**
+ * Parameter values for the tensor collection. The allowed parameters are "name", "include_regex", "reduction_config", "save_config", "tensor_names", and "save_histogram".
+ */
+ CollectionParameters?: CollectionParameters;
+ }
+ export type CollectionConfigurations = CollectionConfiguration[];
+ export type CollectionName = string;
+ export type CollectionParameters = {[key: string]: ConfigValue};
export type CompilationJobArn = string;
export type CompilationJobStatus = "INPROGRESS"|"COMPLETED"|"FAILED"|"STARTING"|"STOPPING"|"STOPPED"|string;
export type CompilationJobSummaries = CompilationJobSummary[];
@@ -971,9 +1751,13 @@ declare namespace SageMaker {
}
export type CompressionType = "None"|"Gzip"|string;
export type CompressionTypes = CompressionType[];
+ export type ConfigKey = string;
+ export type ConfigValue = string;
+ export type ContainerArgument = string;
+ export type ContainerArguments = ContainerArgument[];
export interface ContainerDefinition {
/**
- * This parameter is ignored for models that contain only a PrimaryContainer. When a ContainerDefinition is part of an inference pipeline, the value of ths parameter uniquely identifies the container for the purposes of logging and metrics. For information, see Use Logs and Metrics to Monitor an Inference Pipeline. If you don't specify a value for this parameter for a ContainerDefinition that is part of an inference pipeline, a unique name is automatically assigned based on the position of the ContainerDefinition in the pipeline. If you specify a value for the ContainerHostName for any ContainerDefinition that is part of an inference pipeline, you must specify a value for the ContainerHostName parameter of every ContainerDefinition in that pipeline.
+ * This parameter is ignored for models that contain only a PrimaryContainer. When a ContainerDefinition is part of an inference pipeline, the value of the parameter uniquely identifies the container for the purposes of logging and metrics. For information, see Use Logs and Metrics to Monitor an Inference Pipeline. If you don't specify a value for this parameter for a ContainerDefinition that is part of an inference pipeline, a unique name is automatically assigned based on the position of the ContainerDefinition in the pipeline. If you specify a value for the ContainerHostName for any ContainerDefinition that is part of an inference pipeline, you must specify a value for the ContainerHostName parameter of every ContainerDefinition in that pipeline.
*/
ContainerHostname?: ContainerHostname;
/**
@@ -981,7 +1765,7 @@ declare namespace SageMaker {
*/
Image?: Image;
/**
- * Specifies whether the container hosts a single model or multiple models.
+ * Whether the container hosts a single model or multiple models.
*/
Mode?: ContainerMode;
/**
@@ -998,6 +1782,8 @@ declare namespace SageMaker {
ModelPackageName?: ArnOrName;
}
export type ContainerDefinitionList = ContainerDefinition[];
+ export type ContainerEntrypoint = ContainerEntrypointString[];
+ export type ContainerEntrypointString = string;
export type ContainerHostname = string;
export type ContainerMode = "SingleModel"|"MultiModel"|string;
export type ContentClassifier = "FreeOfPersonallyIdentifiableInformation"|"FreeOfAdultContent"|string;
@@ -1065,6 +1851,82 @@ declare namespace SageMaker {
*/
AlgorithmArn: AlgorithmArn;
}
+ export interface CreateAppRequest {
+ /**
+ * The domain ID.
+ */
+ DomainId: DomainId;
+ /**
+ * The user profile name.
+ */
+ UserProfileName: UserProfileName;
+ /**
+ * The type of app.
+ */
+ AppType: AppType;
+ /**
+ * The name of the app.
+ */
+ AppName: AppName;
+ /**
+ * Each tag consists of a key and an optional value. Tag keys must be unique per resource.
+ */
+ Tags?: TagList;
+ /**
+ * The instance type and quantity.
+ */
+ ResourceSpec?: ResourceSpec;
+ }
+ export interface CreateAppResponse {
+ /**
+ * The app's Amazon Resource Name (ARN).
+ */
+ AppArn?: AppArn;
+ }
+ export interface CreateAutoMLJobRequest {
+ /**
+ * Identifies an AutoPilot job. Must be unique to your account and is case-insensitive.
+ */
+ AutoMLJobName: AutoMLJobName;
+ /**
+ * Similar to InputDataConfig supported by Tuning. Format(s) supported: CSV.
+ */
+ InputDataConfig: AutoMLInputDataConfig;
+ /**
+ * Similar to OutputDataConfig supported by Tuning. Format(s) supported: CSV.
+ */
+ OutputDataConfig: AutoMLOutputDataConfig;
+ /**
+ * Defines the kind of preprocessing and algorithms intended for the candidates. Options include: BinaryClassification, MulticlassClassification, and Regression.
+ */
+ ProblemType?: ProblemType;
+ /**
+ * Defines the job's objective. You provide a MetricName and AutoML will infer minimize or maximize. If this is not provided, the most commonly used ObjectiveMetric for problem type will be selected.
+ */
+ AutoMLJobObjective?: AutoMLJobObjective;
+ /**
+ * Contains CompletionCriteria and SecurityConfig.
+ */
+ AutoMLJobConfig?: AutoMLJobConfig;
+ /**
+ * The ARN of the role that will be used to access the data.
+ */
+ RoleArn: RoleArn;
+ /**
+ * This will generate possible candidates without training a model. A candidate is a combination of data preprocessors, algorithms, and algorithm parameter settings.
+ */
+ GenerateCandidateDefinitionsOnly?: GenerateCandidateDefinitionsOnly;
+ /**
+ * Each tag consists of a key and an optional value. Tag keys must be unique per resource.
+ */
+ Tags?: TagList;
+ }
+ export interface CreateAutoMLJobResponse {
+ /**
+ * When a job is created, it is assigned a unique ARN.
+ */
+ AutoMLJobArn: AutoMLJobArn;
+ }
export interface CreateCodeRepositoryInput {
/**
* The name of the Git repository. The name must have 1 to 63 characters. Valid characters are a-z, A-Z, 0-9, and - (hyphen).
@@ -1109,6 +1971,46 @@ declare namespace SageMaker {
*/
CompilationJobArn: CompilationJobArn;
}
+ export interface CreateDomainRequest {
+ /**
+ * A name for the domain.
+ */
+ DomainName: DomainName;
+ /**
+ * The mode of authentication that member use to access the domain.
+ */
+ AuthMode: AuthMode;
+ /**
+ * The default user settings.
+ */
+ DefaultUserSettings: UserSettings;
+ /**
+ * Security setting to limit to a set of subnets.
+ */
+ SubnetIds: Subnets;
+ /**
+ * Security setting to limit the domain's communication to a Amazon Virtual Private Cloud.
+ */
+ VpcId: VpcId;
+ /**
+ * Each tag consists of a key and an optional value. Tag keys must be unique per resource.
+ */
+ Tags?: TagList;
+ /**
+ * The AWS Key Management Service encryption key ID.
+ */
+ HomeEfsFileSystemKmsKeyId?: KmsKeyId;
+ }
+ export interface CreateDomainResponse {
+ /**
+ * The Amazon Resource Name (ARN) of the created domain.
+ */
+ DomainArn?: DomainArn;
+ /**
+ * The URL to the created domain.
+ */
+ Url?: String1024;
+ }
export interface CreateEndpointConfigInput {
/**
* The name of the endpoint configuration. You specify this name in a CreateEndpoint request.
@@ -1118,6 +2020,7 @@ declare namespace SageMaker {
* An list of ProductionVariant objects, one for each model that you want to host at this endpoint.
*/
ProductionVariants: ProductionVariantList;
+ DataCaptureConfig?: DataCaptureConfig;
/**
* A list of key-value pairs. For more information, see Using Cost Allocation Tags in the AWS Billing and Cost Management User Guide.
*/
@@ -1153,21 +2056,98 @@ declare namespace SageMaker {
*/
EndpointArn: EndpointArn;
}
- export interface CreateHyperParameterTuningJobRequest {
+ export interface CreateExperimentRequest {
/**
- * The name of the tuning job. This name is the prefix for the names of all training jobs that this tuning job launches. The name must be unique within the same AWS account and AWS Region. The name must have { } to { } characters. Valid characters are a-z, A-Z, 0-9, and : + = @ _ % - (hyphen). The name is not case sensitive.
+ * The name of the experiment. The name must be unique in your AWS account and is not case-sensitive.
*/
- HyperParameterTuningJobName: HyperParameterTuningJobName;
+ ExperimentName: ExperimentEntityName;
/**
- * The HyperParameterTuningJobConfig object that describes the tuning job, including the search strategy, the objective metric used to evaluate training jobs, ranges of parameters to search, and resource limits for the tuning job. For more information, see automatic-model-tuning
+ * The name of the experiment as displayed. The name doesn't need to be unique. If you don't specify DisplayName, the value in ExperimentName is displayed.
*/
- HyperParameterTuningJobConfig: HyperParameterTuningJobConfig;
+ DisplayName?: ExperimentEntityName;
/**
- * The HyperParameterTrainingJobDefinition object that describes the training jobs that this tuning job launches, including static hyperparameters, input data configuration, output data configuration, resource configuration, and stopping condition.
+ * The description of the experiment.
*/
- TrainingJobDefinition?: HyperParameterTrainingJobDefinition;
+ Description?: ExperimentDescription;
/**
- * Specifies the configuration for starting the hyperparameter tuning job using one or more previous tuning jobs as a starting point. The results of previous tuning jobs are used to inform which combinations of hyperparameters to search over in the new tuning job. All training jobs launched by the new hyperparameter tuning job are evaluated by using the objective metric. If you specify IDENTICAL_DATA_AND_ALGORITHM as the WarmStartType value for the warm start configuration, the training job that performs the best in the new tuning job is compared to the best training jobs from the parent tuning jobs. From these, the training job that performs the best as measured by the objective metric is returned as the overall best training job. All training jobs launched by parent hyperparameter tuning jobs and the new hyperparameter tuning jobs count against the limit of training jobs for the tuning job.
+ * A list of tags to associate with the experiment. You can use Search API to search on the tags.
+ */
+ Tags?: TagList;
+ }
+ export interface CreateExperimentResponse {
+ /**
+ * The Amazon Resource Name (ARN) of the experiment.
+ */
+ ExperimentArn?: ExperimentArn;
+ }
+ export interface CreateFlowDefinitionRequest {
+ /**
+ * The name of your flow definition.
+ */
+ FlowDefinitionName: FlowDefinitionName;
+ /**
+ * An object containing information about the events that trigger a human workflow.
+ */
+ HumanLoopActivationConfig?: HumanLoopActivationConfig;
+ /**
+ * An object containing information about the tasks the human reviewers will perform.
+ */
+ HumanLoopConfig: HumanLoopConfig;
+ /**
+ * An object containing information about where the human review results will be uploaded.
+ */
+ OutputConfig: FlowDefinitionOutputConfig;
+ /**
+ * The Amazon Resource Name (ARN) of the role needed to call other services on your behalf. For example, arn:aws:iam::1234567890:role/service-role/AmazonSageMaker-ExecutionRole-20180111T151298.
+ */
+ RoleArn: RoleArn;
+ /**
+ * An array of key-value pairs that contain metadata to help you categorize and organize a flow definition. Each tag consists of a key and a value, both of which you define.
+ */
+ Tags?: TagList;
+ }
+ export interface CreateFlowDefinitionResponse {
+ /**
+ * The Amazon Resource Name (ARN) of the flow definition you create.
+ */
+ FlowDefinitionArn: FlowDefinitionArn;
+ }
+ export interface CreateHumanTaskUiRequest {
+ /**
+ * The name of the user interface you are creating.
+ */
+ HumanTaskUiName: HumanTaskUiName;
+ UiTemplate: UiTemplate;
+ /**
+ * An array of key-value pairs that contain metadata to help you categorize and organize a human review workflow user interface. Each tag consists of a key and a value, both of which you define.
+ */
+ Tags?: TagList;
+ }
+ export interface CreateHumanTaskUiResponse {
+ /**
+ * The Amazon Resource Name (ARN) of the human review workflow user interface you create.
+ */
+ HumanTaskUiArn: HumanTaskUiArn;
+ }
+ export interface CreateHyperParameterTuningJobRequest {
+ /**
+ * The name of the tuning job. This name is the prefix for the names of all training jobs that this tuning job launches. The name must be unique within the same AWS account and AWS Region. The name must have { } to { } characters. Valid characters are a-z, A-Z, 0-9, and : + = @ _ % - (hyphen). The name is not case sensitive.
+ */
+ HyperParameterTuningJobName: HyperParameterTuningJobName;
+ /**
+ * The HyperParameterTuningJobConfig object that describes the tuning job, including the search strategy, the objective metric used to evaluate training jobs, ranges of parameters to search, and resource limits for the tuning job. For more information, see automatic-model-tuning
+ */
+ HyperParameterTuningJobConfig: HyperParameterTuningJobConfig;
+ /**
+ * The HyperParameterTrainingJobDefinition object that describes the training jobs that this tuning job launches, including static hyperparameters, input data configuration, output data configuration, resource configuration, and stopping condition.
+ */
+ TrainingJobDefinition?: HyperParameterTrainingJobDefinition;
+ /**
+ *
+ */
+ TrainingJobDefinitions?: HyperParameterTrainingJobDefinitions;
+ /**
+ * Specifies the configuration for starting the hyperparameter tuning job using one or more previous tuning jobs as a starting point. The results of previous tuning jobs are used to inform which combinations of hyperparameters to search over in the new tuning job. All training jobs launched by the new hyperparameter tuning job are evaluated by using the objective metric. If you specify IDENTICAL_DATA_AND_ALGORITHM as the WarmStartType value for the warm start configuration, the training job that performs the best in the new tuning job is compared to the best training jobs from the parent tuning jobs. From these, the training job that performs the best as measured by the objective metric is returned as the overall best training job. All training jobs launched by parent hyperparameter tuning jobs and the new hyperparameter tuning jobs count against the limit of training jobs for the tuning job.
*/
WarmStartConfig?: HyperParameterTuningJobWarmStartConfig;
/**
@@ -1215,7 +2195,7 @@ declare namespace SageMaker {
*/
LabelingJobAlgorithmsConfig?: LabelingJobAlgorithmsConfig;
/**
- * Configures the information required for human workers to complete a labeling task.
+ * Configures the labeling task and how it is presented to workers; including, but not limited to price, keywords, and batch size (task count).
*/
HumanTaskConfig: HumanTaskConfig;
/**
@@ -1297,6 +2277,26 @@ declare namespace SageMaker {
*/
ModelPackageArn: ModelPackageArn;
}
+ export interface CreateMonitoringScheduleRequest {
+ /**
+ * The name of the monitoring schedule. The name must be unique within an AWS Region within an AWS account.
+ */
+ MonitoringScheduleName: MonitoringScheduleName;
+ /**
+ * The configuration object that specifies the monitoring schedule and defines the monitoring job.
+ */
+ MonitoringScheduleConfig: MonitoringScheduleConfig;
+ /**
+ * (Optional) An array of key-value pairs. For more information, see Using Cost Allocation Tags in the AWS Billing and Cost Management User Guide.
+ */
+ Tags?: TagList;
+ }
+ export interface CreateMonitoringScheduleResponse {
+ /**
+ * The Amazon Resource Name (ARN) of the monitoring schedule.
+ */
+ MonitoringScheduleArn: MonitoringScheduleArn;
+ }
export interface CreateNotebookInstanceInput {
/**
* The name of the new notebook instance.
@@ -1315,7 +2315,7 @@ declare namespace SageMaker {
*/
SecurityGroupIds?: SecurityGroupIds;
/**
- * When you send any requests to AWS resources from the notebook instance, Amazon SageMaker assumes this role to perform tasks on your behalf. You must grant this role necessary permissions so Amazon SageMaker can perform these tasks. The policy must allow the Amazon SageMaker service principal (sagemaker.amazonaws.com) permissionsto to assume this role. For more information, see Amazon SageMaker Roles. To be able to pass this role to Amazon SageMaker, the caller of this API must have the iam:PassRole permission.
+ * When you send any requests to AWS resources from the notebook instance, Amazon SageMaker assumes this role to perform tasks on your behalf. You must grant this role necessary permissions so Amazon SageMaker can perform these tasks. The policy must allow the Amazon SageMaker service principal (sagemaker.amazonaws.com) permissions to assume this role. For more information, see Amazon SageMaker Roles. To be able to pass this role to Amazon SageMaker, the caller of this API must have the iam:PassRole permission.
*/
RoleArn: RoleArn;
/**
@@ -1381,6 +2381,26 @@ declare namespace SageMaker {
*/
NotebookInstanceArn?: NotebookInstanceArn;
}
+ export interface CreatePresignedDomainUrlRequest {
+ /**
+ * The domain ID.
+ */
+ DomainId: DomainId;
+ /**
+ * The name of the UserProfile to sign-in as.
+ */
+ UserProfileName: UserProfileName;
+ /**
+ * The session expiration duration in seconds.
+ */
+ SessionExpirationDurationInSeconds?: SessionExpirationDurationInSeconds;
+ }
+ export interface CreatePresignedDomainUrlResponse {
+ /**
+ * The presigned URL.
+ */
+ AuthorizedUrl?: PresignedDomainUrl;
+ }
export interface CreatePresignedNotebookInstanceUrlInput {
/**
* The name of the notebook instance.
@@ -1397,6 +2417,55 @@ declare namespace SageMaker {
*/
AuthorizedUrl?: NotebookInstanceUrl;
}
+ export interface CreateProcessingJobRequest {
+ /**
+ * For each input, data is downloaded from S3 into the processing container before the processing job begins running if "S3InputMode" is set to File.
+ */
+ ProcessingInputs?: ProcessingInputs;
+ /**
+ * Output configuration for the processing job.
+ */
+ ProcessingOutputConfig?: ProcessingOutputConfig;
+ /**
+ * The name of the processing job. The name must be unique within an AWS Region in the AWS account.
+ */
+ ProcessingJobName: ProcessingJobName;
+ /**
+ * Identifies the resources, ML compute instances, and ML storage volumes to deploy for a processing job. In distributed training, you specify more than one instance.
+ */
+ ProcessingResources: ProcessingResources;
+ /**
+ * The time limit for how long the processing job is allowed to run.
+ */
+ StoppingCondition?: ProcessingStoppingCondition;
+ /**
+ * Configures the processing job to run a specified Docker container image.
+ */
+ AppSpecification: AppSpecification;
+ /**
+ * Sets the environment variables in the Docker container.
+ */
+ Environment?: ProcessingEnvironmentMap;
+ /**
+ * Networking options for a processing job.
+ */
+ NetworkConfig?: NetworkConfig;
+ /**
+ * The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker can assume to perform tasks on your behalf.
+ */
+ RoleArn: RoleArn;
+ /**
+ * (Optional) An array of key-value pairs. For more information, see Using Cost Allocation Tags in the AWS Billing and Cost Management User Guide.
+ */
+ Tags?: TagList;
+ ExperimentConfig?: ExperimentConfig;
+ }
+ export interface CreateProcessingJobResponse {
+ /**
+ * The Amazon Resource Name (ARN) of the processing job.
+ */
+ ProcessingJobArn: ProcessingJobArn;
+ }
export interface CreateTrainingJobRequest {
/**
* The name of the training job. The name must be unique within an AWS Region in an AWS account.
@@ -1454,6 +2523,13 @@ declare namespace SageMaker {
* Contains information about the output location for managed spot training checkpoint data.
*/
CheckpointConfig?: CheckpointConfig;
+ DebugHookConfig?: DebugHookConfig;
+ /**
+ * Configuration information for debugging rules.
+ */
+ DebugRuleConfigurations?: DebugRuleConfigurations;
+ TensorBoardOutputConfig?: TensorBoardOutputConfig;
+ ExperimentConfig?: ExperimentConfig;
}
export interface CreateTrainingJobResponse {
/**
@@ -1471,7 +2547,7 @@ declare namespace SageMaker {
*/
ModelName: ModelName;
/**
- * The maximum number of parallel requests that can be sent to each instance in a transform job. If MaxConcurrentTransforms is set to 0 or left unset, Amazon SageMaker checks the optional execution-parameters to determine the optimal settings for your chosen algorithm. If the execution-parameters endpoint is not enabled, the default value is 1. For more information on execution-parameters, see How Containers Serve Requests. For built-in algorithms, you don't need to set a value for MaxConcurrentTransforms.
+ * The maximum number of parallel requests that can be sent to each instance in a transform job. If MaxConcurrentTransforms is set to 0 or left unset, Amazon SageMaker checks the optional execution-parameters to determine the settings for your chosen algorithm. If the execution-parameters endpoint is not enabled, the default value is 1. For more information on execution-parameters, see How Containers Serve Requests. For built-in algorithms, you don't need to set a value for MaxConcurrentTransforms.
*/
MaxConcurrentTransforms?: MaxConcurrentTransforms;
/**
@@ -1506,6 +2582,7 @@ declare namespace SageMaker {
* (Optional) An array of key-value pairs. For more information, see Using Cost Allocation Tags in the AWS Billing and Cost Management User Guide.
*/
Tags?: TagList;
+ ExperimentConfig?: ExperimentConfig;
}
export interface CreateTransformJobResponse {
/**
@@ -1513,820 +2590,1598 @@ declare namespace SageMaker {
*/
TransformJobArn: TransformJobArn;
}
- export interface CreateWorkteamRequest {
+ export interface CreateTrialComponentRequest {
/**
- * The name of the work team. Use this name to identify the work team.
+ * The name of the component. The name must be unique in your AWS account and is not case-sensitive.
*/
- WorkteamName: WorkteamName;
+ TrialComponentName: ExperimentEntityName;
/**
- * A list of MemberDefinition objects that contains objects that identify the Amazon Cognito user pool that makes up the work team. For more information, see Amazon Cognito User Pools. All of the CognitoMemberDefinition objects that make up the member definition must have the same ClientId and UserPool values.
+ * The name of the component as displayed. The name doesn't need to be unique. If DisplayName isn't specified, TrialComponentName is displayed.
*/
- MemberDefinitions: MemberDefinitions;
+ DisplayName?: ExperimentEntityName;
/**
- * A description of the work team.
+ * The status of the component. States include: InProgress Completed Failed
*/
- Description: String200;
+ Status?: TrialComponentStatus;
/**
- * Configures notification of workers regarding available or expiring work items.
+ * When the component started.
*/
- NotificationConfiguration?: NotificationConfiguration;
+ StartTime?: Timestamp;
/**
- * An array of key-value pairs. For more information, see Resource Tag and Using Cost Allocation Tags in the AWS Billing and Cost Management User Guide.
+ * When the component ended.
*/
- Tags?: TagList;
- }
- export interface CreateWorkteamResponse {
+ EndTime?: Timestamp;
/**
- * The Amazon Resource Name (ARN) of the work team. You can use this ARN to identify the work team.
+ * The hyperparameters for the component.
*/
- WorkteamArn?: WorkteamArn;
- }
- export type CreationTime = Date;
- export type DataInputConfig = string;
- export interface DataProcessing {
+ Parameters?: TrialComponentParameters;
/**
- * A JSONPath expression used to select a portion of the input data to pass to the algorithm. Use the InputFilter parameter to exclude fields, such as an ID column, from the input. If you want Amazon SageMaker to pass the entire input dataset to the algorithm, accept the default value $. Examples: "$", "$[1:]", "$.features"
+ * The input artifacts for the component. Examples of input artifacts are datasets, algorithms, hyperparameters, source code, and instance types.
*/
- InputFilter?: JsonPath;
+ InputArtifacts?: TrialComponentArtifacts;
/**
- * A JSONPath expression used to select a portion of the joined dataset to save in the output file for a batch transform job. If you want Amazon SageMaker to store the entire input dataset in the output file, leave the default value, $. If you specify indexes that aren't within the dimension size of the joined dataset, you get an error. Examples: "$", "$[0,5:]", "$['id','SageMakerOutput']"
+ * The output artifacts for the component. Examples of output artifacts are metrics, snapshots, logs, and images.
*/
- OutputFilter?: JsonPath;
+ OutputArtifacts?: TrialComponentArtifacts;
/**
- * Specifies the source of the data to join with the transformed data. The valid values are None and Input. The default value is None, which specifies not to join the input with the transformed data. If you want the batch transform job to join the original input data with the transformed data, set JoinSource to Input. For JSON or JSONLines objects, such as a JSON array, Amazon SageMaker adds the transformed data to the input JSON object in an attribute called SageMakerOutput. The joined result for JSON must be a key-value pair object. If the input is not a key-value pair object, Amazon SageMaker creates a new JSON file. In the new JSON file, and the input data is stored under the SageMakerInput key and the results are stored in SageMakerOutput. For CSV files, Amazon SageMaker combines the transformed data with the input data at the end of the input data and stores it in the output file. The joined data has the joined input data followed by the transformed data and the output is a CSV file.
+ * A list of tags to associate with the component. You can use Search API to search on the tags.
*/
- JoinSource?: JoinSource;
+ Tags?: TagList;
}
- export interface DataSource {
+ export interface CreateTrialComponentResponse {
/**
- * The S3 location of the data source that is associated with a channel.
+ * The Amazon Resource Name (ARN) of the trial component.
*/
- S3DataSource?: S3DataSource;
+ TrialComponentArn?: TrialComponentArn;
+ }
+ export interface CreateTrialRequest {
/**
- * The file system that is associated with a channel.
+ * The name of the trial. The name must be unique in your AWS account and is not case-sensitive.
*/
- FileSystemDataSource?: FileSystemDataSource;
- }
- export interface DeleteAlgorithmInput {
+ TrialName: ExperimentEntityName;
/**
- * The name of the algorithm to delete.
+ * The name of the trial as displayed. The name doesn't need to be unique. If DisplayName isn't specified, TrialName is displayed.
*/
- AlgorithmName: EntityName;
- }
- export interface DeleteCodeRepositoryInput {
+ DisplayName?: ExperimentEntityName;
/**
- * The name of the Git repository to delete.
+ * The name of the experiment to associate the trial with.
*/
- CodeRepositoryName: EntityName;
- }
- export interface DeleteEndpointConfigInput {
+ ExperimentName: ExperimentEntityName;
/**
- * The name of the endpoint configuration that you want to delete.
+ * A list of tags to associate with the trial. You can use Search API to search on the tags.
*/
- EndpointConfigName: EndpointConfigName;
+ Tags?: TagList;
}
- export interface DeleteEndpointInput {
+ export interface CreateTrialResponse {
/**
- * The name of the endpoint that you want to delete.
+ * The Amazon Resource Name (ARN) of the trial.
*/
- EndpointName: EndpointName;
+ TrialArn?: TrialArn;
}
- export interface DeleteModelInput {
+ export interface CreateUserProfileRequest {
/**
- * The name of the model to delete.
+ * The ID of the associated Domain.
*/
- ModelName: ModelName;
- }
- export interface DeleteModelPackageInput {
+ DomainId: DomainId;
/**
- * The name of the model package. The name must have 1 to 63 characters. Valid characters are a-z, A-Z, 0-9, and - (hyphen).
+ * A name for the UserProfile.
*/
- ModelPackageName: EntityName;
- }
- export interface DeleteNotebookInstanceInput {
+ UserProfileName: UserProfileName;
/**
- * The name of the Amazon SageMaker notebook instance to delete.
+ * A specifier for the type of value specified in SingleSignOnUserValue. Currently, the only supported value is "UserName". If the Domain's AuthMode is SSO, this field is required. If the Domain's AuthMode is not SSO, this field cannot be specified.
*/
- NotebookInstanceName: NotebookInstanceName;
- }
- export interface DeleteNotebookInstanceLifecycleConfigInput {
+ SingleSignOnUserIdentifier?: SingleSignOnUserIdentifier;
/**
- * The name of the lifecycle configuration to delete.
+ * The username of the associated AWS Single Sign-On User for this UserProfile. If the Domain's AuthMode is SSO, this field is required, and must match a valid username of a user in your directory. If the Domain's AuthMode is not SSO, this field cannot be specified.
*/
- NotebookInstanceLifecycleConfigName: NotebookInstanceLifecycleConfigName;
- }
- export interface DeleteTagsInput {
+ SingleSignOnUserValue?: String256;
/**
- * The Amazon Resource Name (ARN) of the resource whose tags you want to delete.
+ * Each tag consists of a key and an optional value. Tag keys must be unique per resource.
*/
- ResourceArn: ResourceArn;
+ Tags?: TagList;
/**
- * An array or one or more tag keys to delete.
+ * A collection of settings.
*/
- TagKeys: TagKeyList;
+ UserSettings?: UserSettings;
}
- export interface DeleteTagsOutput {
+ export interface CreateUserProfileResponse {
+ /**
+ * The user profile Amazon Resource Name (ARN).
+ */
+ UserProfileArn?: UserProfileArn;
}
- export interface DeleteWorkteamRequest {
+ export interface CreateWorkteamRequest {
/**
- * The name of the work team to delete.
+ * The name of the work team. Use this name to identify the work team.
*/
WorkteamName: WorkteamName;
- }
- export interface DeleteWorkteamResponse {
/**
- * Returns true if the work team was successfully deleted; otherwise, returns false.
+ * A list of MemberDefinition objects that contains objects that identify the Amazon Cognito user pool that makes up the work team. For more information, see Amazon Cognito User Pools. All of the CognitoMemberDefinition objects that make up the member definition must have the same ClientId and UserPool values.
*/
- Success: Success;
- }
- export interface DeployedImage {
+ MemberDefinitions: MemberDefinitions;
/**
- * The image path you specified when you created the model.
+ * A description of the work team.
*/
- SpecifiedImage?: Image;
+ Description: String200;
/**
- * The specific digest path of the image hosted in this ProductionVariant.
+ * Configures notification of workers regarding available or expiring work items.
*/
- ResolvedImage?: Image;
+ NotificationConfiguration?: NotificationConfiguration;
/**
- * The date and time when the image path for the model resolved to the ResolvedImage
+ * An array of key-value pairs. For more information, see Resource Tag and Using Cost Allocation Tags in the AWS Billing and Cost Management User Guide.
*/
- ResolutionTime?: Timestamp;
+ Tags?: TagList;
}
- export type DeployedImages = DeployedImage[];
- export interface DescribeAlgorithmInput {
+ export interface CreateWorkteamResponse {
/**
- * The name of the algorithm to describe.
+ * The Amazon Resource Name (ARN) of the work team. You can use this ARN to identify the work team.
*/
- AlgorithmName: ArnOrName;
+ WorkteamArn?: WorkteamArn;
}
- export interface DescribeAlgorithmOutput {
+ export type CreationTime = Date;
+ export type CsvContentType = string;
+ export type CsvContentTypes = CsvContentType[];
+ export interface DataCaptureConfig {
/**
- * The name of the algorithm being described.
+ *
*/
- AlgorithmName: EntityName;
+ EnableCapture?: EnableCapture;
/**
- * The Amazon Resource Name (ARN) of the algorithm.
+ *
*/
- AlgorithmArn: AlgorithmArn;
+ InitialSamplingPercentage: SamplingPercentage;
/**
- * A brief summary about the algorithm.
+ *
*/
- AlgorithmDescription?: EntityDescription;
+ DestinationS3Uri: DestinationS3Uri;
/**
- * A timestamp specifying when the algorithm was created.
+ *
*/
- CreationTime: CreationTime;
+ KmsKeyId?: KmsKeyId;
/**
- * Details about training jobs run by this algorithm.
+ *
*/
- TrainingSpecification: TrainingSpecification;
+ CaptureOptions: CaptureOptionList;
/**
- * Details about inference jobs that the algorithm runs.
+ *
*/
- InferenceSpecification?: InferenceSpecification;
+ CaptureContentTypeHeader?: CaptureContentTypeHeader;
+ }
+ export interface DataCaptureConfigSummary {
/**
- * Details about configurations for one or more training jobs that Amazon SageMaker runs to test the algorithm.
+ *
*/
- ValidationSpecification?: AlgorithmValidationSpecification;
+ EnableCapture: EnableCapture;
/**
- * The current status of the algorithm.
+ *
*/
- AlgorithmStatus: AlgorithmStatus;
+ CaptureStatus: CaptureStatus;
/**
- * Details about the current status of the algorithm.
+ *
*/
- AlgorithmStatusDetails: AlgorithmStatusDetails;
+ CurrentSamplingPercentage: SamplingPercentage;
/**
- * The product identifier of the algorithm.
+ *
*/
- ProductId?: ProductId;
+ DestinationS3Uri: DestinationS3Uri;
/**
- * Whether the algorithm is certified to be listed in AWS Marketplace.
+ *
*/
- CertifyForMarketplace?: CertifyForMarketplace;
+ KmsKeyId: KmsKeyId;
}
- export interface DescribeCodeRepositoryInput {
+ export type DataExplorationNotebookLocation = string;
+ export type DataInputConfig = string;
+ export interface DataProcessing {
/**
- * The name of the Git repository to describe.
+ * A JSONPath expression used to select a portion of the input data to pass to the algorithm. Use the InputFilter parameter to exclude fields, such as an ID column, from the input. If you want Amazon SageMaker to pass the entire input dataset to the algorithm, accept the default value $. Examples: "$", "$[1:]", "$.features"
*/
- CodeRepositoryName: EntityName;
- }
- export interface DescribeCodeRepositoryOutput {
+ InputFilter?: JsonPath;
/**
- * The name of the Git repository.
+ * A JSONPath expression used to select a portion of the joined dataset to save in the output file for a batch transform job. If you want Amazon SageMaker to store the entire input dataset in the output file, leave the default value, $. If you specify indexes that aren't within the dimension size of the joined dataset, you get an error. Examples: "$", "$[0,5:]", "$['id','SageMakerOutput']"
*/
- CodeRepositoryName: EntityName;
+ OutputFilter?: JsonPath;
/**
- * The Amazon Resource Name (ARN) of the Git repository.
+ * Specifies the source of the data to join with the transformed data. The valid values are None and Input. The default value is None, which specifies not to join the input with the transformed data. If you want the batch transform job to join the original input data with the transformed data, set JoinSource to Input. For JSON or JSONLines objects, such as a JSON array, Amazon SageMaker adds the transformed data to the input JSON object in an attribute called SageMakerOutput. The joined result for JSON must be a key-value pair object. If the input is not a key-value pair object, Amazon SageMaker creates a new JSON file. In the new JSON file, and the input data is stored under the SageMakerInput key and the results are stored in SageMakerOutput. For CSV files, Amazon SageMaker combines the transformed data with the input data at the end of the input data and stores it in the output file. The joined data has the joined input data followed by the transformed data and the output is a CSV file.
*/
- CodeRepositoryArn: CodeRepositoryArn;
+ JoinSource?: JoinSource;
+ }
+ export interface DataSource {
/**
- * The date and time that the repository was created.
+ * The S3 location of the data source that is associated with a channel.
*/
- CreationTime: CreationTime;
+ S3DataSource?: S3DataSource;
/**
- * The date and time that the repository was last changed.
+ * The file system that is associated with a channel.
*/
- LastModifiedTime: LastModifiedTime;
+ FileSystemDataSource?: FileSystemDataSource;
+ }
+ export interface DebugHookConfig {
/**
- * Configuration details about the repository, including the URL where the repository is located, the default branch, and the Amazon Resource Name (ARN) of the AWS Secrets Manager secret that contains the credentials used to access the repository.
+ * Path to local storage location for tensors. Defaults to /opt/ml/output/tensors/.
*/
- GitConfig?: GitConfig;
- }
- export interface DescribeCompilationJobRequest {
+ LocalPath?: DirectoryPath;
/**
- * The name of the model compilation job that you want information about.
+ * Path to Amazon S3 storage location for tensors.
*/
- CompilationJobName: EntityName;
- }
- export interface DescribeCompilationJobResponse {
+ S3OutputPath: S3Uri;
/**
- * The name of the model compilation job.
+ * Configuration information for the debug hook parameters.
*/
- CompilationJobName: EntityName;
+ HookParameters?: HookParameters;
/**
- * The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker assumes to perform the model compilation job.
+ * Configuration information for tensor collections.
*/
- CompilationJobArn: CompilationJobArn;
+ CollectionConfigurations?: CollectionConfigurations;
+ }
+ export interface DebugRuleConfiguration {
/**
- * The status of the model compilation job.
+ * The name of the rule configuration. It must be unique relative to other rule configuration names.
*/
- CompilationJobStatus: CompilationJobStatus;
+ RuleConfigurationName: RuleConfigurationName;
/**
- * The time when the model compilation job started the CompilationJob instances. You are billed for the time between this timestamp and the timestamp in the DescribeCompilationJobResponse$CompilationEndTime field. In Amazon CloudWatch Logs, the start time might be later than this time. That's because it takes time to download the compilation job, which depends on the size of the compilation job container.
+ * Path to local storage location for rules. Defaults to /opt/ml/processing/output/rule/.
*/
- CompilationStartTime?: Timestamp;
+ LocalPath?: DirectoryPath;
/**
- * The time when the model compilation job on a compilation job instance ended. For a successful or stopped job, this is when the job's model artifacts have finished uploading. For a failed job, this is when Amazon SageMaker detected that the job failed.
+ * Path to Amazon S3 storage location for rules.
*/
- CompilationEndTime?: Timestamp;
+ S3OutputPath?: S3Uri;
/**
- * Specifies a limit to how long a model compilation job can run. When the job reaches the time limit, Amazon SageMaker ends the compilation job. Use this API to cap model training costs.
+ * The Amazon Elastic Container (ECR) Image for the managed rule evaluation.
*/
- StoppingCondition: StoppingCondition;
+ RuleEvaluatorImage: AlgorithmImage;
/**
- * The time that the model compilation job was created.
+ * The instance type to deploy for a training job.
*/
- CreationTime: CreationTime;
+ InstanceType?: ProcessingInstanceType;
/**
- * The time that the status of the model compilation job was last modified.
+ * The size, in GB, of the ML storage volume attached to the notebook instance.
*/
- LastModifiedTime: LastModifiedTime;
+ VolumeSizeInGB?: OptionalVolumeSizeInGB;
/**
- * If a model compilation job failed, the reason it failed.
+ * Runtime configuration for rule container.
*/
- FailureReason: FailureReason;
+ RuleParameters?: RuleParameters;
+ }
+ export type DebugRuleConfigurations = DebugRuleConfiguration[];
+ export interface DebugRuleEvaluationStatus {
/**
- * Information about the location in Amazon S3 that has been configured for storing the model artifacts used in the compilation job.
+ * The name of the rule configuration
*/
- ModelArtifacts: ModelArtifacts;
+ RuleConfigurationName?: RuleConfigurationName;
/**
- * The Amazon Resource Name (ARN) of the model compilation job.
+ * The Amazon Resource Name (ARN) of the rule evaluation job.
*/
- RoleArn: RoleArn;
+ RuleEvaluationJobArn?: ProcessingJobArn;
/**
- * Information about the location in Amazon S3 of the input model artifacts, the name and shape of the expected data inputs, and the framework in which the model was trained.
+ * Status of the rule evaluation.
*/
- InputConfig: InputConfig;
+ RuleEvaluationStatus?: RuleEvaluationStatus;
/**
- * Information about the output location for the compiled model and the target device that the model runs on.
+ * Details from the rule evaluation.
*/
- OutputConfig: OutputConfig;
- }
- export interface DescribeEndpointConfigInput {
+ StatusDetails?: StatusDetails;
/**
- * The name of the endpoint configuration.
+ * Timestamp when the rule evaluation status was last modified.
*/
- EndpointConfigName: EndpointConfigName;
+ LastModifiedTime?: Timestamp;
}
- export interface DescribeEndpointConfigOutput {
+ export type DebugRuleEvaluationStatuses = DebugRuleEvaluationStatus[];
+ export interface DeleteAlgorithmInput {
/**
- * Name of the Amazon SageMaker endpoint configuration.
+ * The name of the algorithm to delete.
*/
- EndpointConfigName: EndpointConfigName;
+ AlgorithmName: EntityName;
+ }
+ export interface DeleteAppRequest {
/**
- * The Amazon Resource Name (ARN) of the endpoint configuration.
+ * The domain ID.
*/
- EndpointConfigArn: EndpointConfigArn;
+ DomainId: DomainId;
/**
- * An array of ProductionVariant objects, one for each model that you want to host at this endpoint.
+ * The user profile name.
*/
- ProductionVariants: ProductionVariantList;
+ UserProfileName: UserProfileName;
/**
- * AWS KMS key ID Amazon SageMaker uses to encrypt data when storing it on the ML storage volume attached to the instance.
+ * The type of app.
*/
- KmsKeyId?: KmsKeyId;
+ AppType: AppType;
/**
- * A timestamp that shows when the endpoint configuration was created.
+ * The name of the app.
*/
- CreationTime: Timestamp;
+ AppName: AppName;
}
- export interface DescribeEndpointInput {
+ export interface DeleteCodeRepositoryInput {
/**
- * The name of the endpoint.
+ * The name of the Git repository to delete.
*/
- EndpointName: EndpointName;
+ CodeRepositoryName: EntityName;
}
- export interface DescribeEndpointOutput {
+ export interface DeleteDomainRequest {
/**
- * Name of the endpoint.
+ * The domain ID.
*/
- EndpointName: EndpointName;
+ DomainId: DomainId;
/**
- * The Amazon Resource Name (ARN) of the endpoint.
+ * The retention policy for this domain, which specifies which resources will be retained after the Domain is deleted. By default, all resources are retained (not automatically deleted).
*/
- EndpointArn: EndpointArn;
+ RetentionPolicy?: RetentionPolicy;
+ }
+ export interface DeleteEndpointConfigInput {
/**
- * The name of the endpoint configuration associated with this endpoint.
+ * The name of the endpoint configuration that you want to delete.
*/
EndpointConfigName: EndpointConfigName;
+ }
+ export interface DeleteEndpointInput {
/**
- * An array of ProductionVariantSummary objects, one for each model hosted behind this endpoint.
+ * The name of the endpoint that you want to delete.
*/
- ProductionVariants?: ProductionVariantSummaryList;
+ EndpointName: EndpointName;
+ }
+ export interface DeleteExperimentRequest {
/**
- * The status of the endpoint. OutOfService: Endpoint is not available to take incoming requests. Creating: CreateEndpoint is executing. Updating: UpdateEndpoint or UpdateEndpointWeightsAndCapacities is executing. SystemUpdating: Endpoint is undergoing maintenance and cannot be updated or deleted or re-scaled until it has completed. This maintenance operation does not change any customer-specified values such as VPC config, KMS encryption, model, instance type, or instance count. RollingBack: Endpoint fails to scale up or down or change its variant weight and is in the process of rolling back to its previous configuration. Once the rollback completes, endpoint returns to an InService status. This transitional status only applies to an endpoint that has autoscaling enabled and is undergoing variant weight or capacity changes as part of an UpdateEndpointWeightsAndCapacities call or when the UpdateEndpointWeightsAndCapacities operation is called explicitly. InService: Endpoint is available to process incoming requests. Deleting: DeleteEndpoint is executing. Failed: Endpoint could not be created, updated, or re-scaled. Use DescribeEndpointOutput$FailureReason for information about the failure. DeleteEndpoint is the only operation that can be performed on a failed endpoint.
+ * The name of the experiment to delete.
*/
- EndpointStatus: EndpointStatus;
+ ExperimentName: ExperimentEntityName;
+ }
+ export interface DeleteExperimentResponse {
/**
- * If the status of the endpoint is Failed, the reason why it failed.
+ * The Amazon Resource Name (ARN) of the experiment that is being deleted.
*/
- FailureReason?: FailureReason;
+ ExperimentArn?: ExperimentArn;
+ }
+ export interface DeleteFlowDefinitionRequest {
/**
- * A timestamp that shows when the endpoint was created.
+ * The name of the flow definition you are deleting.
*/
- CreationTime: Timestamp;
+ FlowDefinitionName: FlowDefinitionName;
+ }
+ export interface DeleteFlowDefinitionResponse {
+ }
+ export interface DeleteModelInput {
/**
- * A timestamp that shows when the endpoint was last modified.
+ * The name of the model to delete.
*/
- LastModifiedTime: Timestamp;
+ ModelName: ModelName;
}
- export interface DescribeHyperParameterTuningJobRequest {
+ export interface DeleteModelPackageInput {
/**
- * The name of the tuning job to describe.
+ * The name of the model package. The name must have 1 to 63 characters. Valid characters are a-z, A-Z, 0-9, and - (hyphen).
*/
- HyperParameterTuningJobName: HyperParameterTuningJobName;
+ ModelPackageName: EntityName;
}
- export interface DescribeHyperParameterTuningJobResponse {
+ export interface DeleteMonitoringScheduleRequest {
/**
- * The name of the tuning job.
+ * The name of the monitoring schedule to delete.
*/
- HyperParameterTuningJobName: HyperParameterTuningJobName;
+ MonitoringScheduleName: MonitoringScheduleName;
+ }
+ export interface DeleteNotebookInstanceInput {
/**
- * The Amazon Resource Name (ARN) of the tuning job.
+ * The name of the Amazon SageMaker notebook instance to delete.
*/
- HyperParameterTuningJobArn: HyperParameterTuningJobArn;
+ NotebookInstanceName: NotebookInstanceName;
+ }
+ export interface DeleteNotebookInstanceLifecycleConfigInput {
/**
- * The HyperParameterTuningJobConfig object that specifies the configuration of the tuning job.
+ * The name of the lifecycle configuration to delete.
*/
- HyperParameterTuningJobConfig: HyperParameterTuningJobConfig;
+ NotebookInstanceLifecycleConfigName: NotebookInstanceLifecycleConfigName;
+ }
+ export interface DeleteTagsInput {
/**
- * The HyperParameterTrainingJobDefinition object that specifies the definition of the training jobs that this tuning job launches.
+ * The Amazon Resource Name (ARN) of the resource whose tags you want to delete.
*/
- TrainingJobDefinition?: HyperParameterTrainingJobDefinition;
+ ResourceArn: ResourceArn;
/**
- * The status of the tuning job: InProgress, Completed, Failed, Stopping, or Stopped.
+ * An array or one or more tag keys to delete.
*/
- HyperParameterTuningJobStatus: HyperParameterTuningJobStatus;
+ TagKeys: TagKeyList;
+ }
+ export interface DeleteTagsOutput {
+ }
+ export interface DeleteTrialComponentRequest {
/**
- * The date and time that the tuning job started.
+ * The name of the component to delete.
*/
- CreationTime: Timestamp;
+ TrialComponentName: ExperimentEntityName;
+ }
+ export interface DeleteTrialComponentResponse {
/**
- * The date and time that the tuning job ended.
+ * The Amazon Resource Name (ARN) of the component is being deleted.
*/
- HyperParameterTuningEndTime?: Timestamp;
+ TrialComponentArn?: TrialComponentArn;
+ }
+ export interface DeleteTrialRequest {
/**
- * The date and time that the status of the tuning job was modified.
+ * The name of the trial to delete.
*/
- LastModifiedTime?: Timestamp;
+ TrialName: ExperimentEntityName;
+ }
+ export interface DeleteTrialResponse {
/**
- * The TrainingJobStatusCounters object that specifies the number of training jobs, categorized by status, that this tuning job launched.
+ * The Amazon Resource Name (ARN) of the trial that is being deleted.
*/
- TrainingJobStatusCounters: TrainingJobStatusCounters;
+ TrialArn?: TrialArn;
+ }
+ export interface DeleteUserProfileRequest {
/**
- * The ObjectiveStatusCounters object that specifies the number of training jobs, categorized by the status of their final objective metric, that this tuning job launched.
+ * The domain ID.
*/
- ObjectiveStatusCounters: ObjectiveStatusCounters;
+ DomainId: DomainId;
/**
- * A TrainingJobSummary object that describes the training job that completed with the best current HyperParameterTuningJobObjective.
+ * The user profile name.
*/
- BestTrainingJob?: HyperParameterTrainingJobSummary;
+ UserProfileName: UserProfileName;
+ }
+ export interface DeleteWorkteamRequest {
/**
- * If the hyperparameter tuning job is an warm start tuning job with a WarmStartType of IDENTICAL_DATA_AND_ALGORITHM, this is the TrainingJobSummary for the training job with the best objective metric value of all training jobs launched by this tuning job and all parent jobs specified for the warm start tuning job.
+ * The name of the work team to delete.
*/
- OverallBestTrainingJob?: HyperParameterTrainingJobSummary;
+ WorkteamName: WorkteamName;
+ }
+ export interface DeleteWorkteamResponse {
/**
- * The configuration for starting the hyperparameter parameter tuning job using one or more previous tuning jobs as a starting point. The results of previous tuning jobs are used to inform which combinations of hyperparameters to search over in the new tuning job.
+ * Returns true if the work team was successfully deleted; otherwise, returns false.
*/
- WarmStartConfig?: HyperParameterTuningJobWarmStartConfig;
+ Success: Success;
+ }
+ export interface DeployedImage {
/**
- * If the tuning job failed, the reason it failed.
+ * The image path you specified when you created the model.
*/
- FailureReason?: FailureReason;
+ SpecifiedImage?: Image;
+ /**
+ * The specific digest path of the image hosted in this ProductionVariant.
+ */
+ ResolvedImage?: Image;
+ /**
+ * The date and time when the image path for the model resolved to the ResolvedImage
+ */
+ ResolutionTime?: Timestamp;
}
- export interface DescribeLabelingJobRequest {
+ export type DeployedImages = DeployedImage[];
+ export interface DescribeAlgorithmInput {
/**
- * The name of the labeling job to return information for.
+ * The name of the algorithm to describe.
*/
- LabelingJobName: LabelingJobName;
+ AlgorithmName: ArnOrName;
}
- export interface DescribeLabelingJobResponse {
+ export interface DescribeAlgorithmOutput {
/**
- * The processing status of the labeling job.
+ * The name of the algorithm being described.
*/
- LabelingJobStatus: LabelingJobStatus;
+ AlgorithmName: EntityName;
/**
- * Provides a breakdown of the number of data objects labeled by humans, the number of objects labeled by machine, the number of objects than couldn't be labeled, and the total number of objects labeled.
+ * The Amazon Resource Name (ARN) of the algorithm.
*/
- LabelCounters: LabelCounters;
+ AlgorithmArn: AlgorithmArn;
/**
- * If the job failed, the reason that it failed.
+ * A brief summary about the algorithm.
*/
- FailureReason?: FailureReason;
+ AlgorithmDescription?: EntityDescription;
/**
- * The date and time that the labeling job was created.
+ * A timestamp specifying when the algorithm was created.
*/
- CreationTime: Timestamp;
+ CreationTime: CreationTime;
/**
- * The date and time that the labeling job was last updated.
+ * Details about training jobs run by this algorithm.
*/
- LastModifiedTime: Timestamp;
+ TrainingSpecification: TrainingSpecification;
/**
- * A unique identifier for work done as part of a labeling job.
+ * Details about inference jobs that the algorithm runs.
*/
- JobReferenceCode: JobReferenceCode;
+ InferenceSpecification?: InferenceSpecification;
/**
- * The name assigned to the labeling job when it was created.
+ * Details about configurations for one or more training jobs that Amazon SageMaker runs to test the algorithm.
*/
- LabelingJobName: LabelingJobName;
+ ValidationSpecification?: AlgorithmValidationSpecification;
/**
- * The Amazon Resource Name (ARN) of the labeling job.
+ * The current status of the algorithm.
*/
- LabelingJobArn: LabelingJobArn;
+ AlgorithmStatus: AlgorithmStatus;
/**
- * The attribute used as the label in the output manifest file.
+ * Details about the current status of the algorithm.
*/
- LabelAttributeName?: LabelAttributeName;
+ AlgorithmStatusDetails: AlgorithmStatusDetails;
/**
- * Input configuration information for the labeling job, such as the Amazon S3 location of the data objects and the location of the manifest file that describes the data objects.
+ * The product identifier of the algorithm.
*/
- InputConfig: LabelingJobInputConfig;
+ ProductId?: ProductId;
/**
- * The location of the job's output data and the AWS Key Management Service key ID for the key used to encrypt the output data, if any.
+ * Whether the algorithm is certified to be listed in AWS Marketplace.
*/
- OutputConfig: LabelingJobOutputConfig;
+ CertifyForMarketplace?: CertifyForMarketplace;
+ }
+ export interface DescribeAppRequest {
/**
- * The Amazon Resource Name (ARN) that Amazon SageMaker assumes to perform tasks on your behalf during data labeling.
+ * The domain ID.
*/
- RoleArn: RoleArn;
+ DomainId: DomainId;
/**
- * The S3 location of the JSON file that defines the categories used to label data objects. The file is a JSON structure in the following format: { "document-version": "2018-11-28" "labels": [ { "label": "label 1" }, { "label": "label 2" }, ... { "label": "label n" } ] }
+ * The user profile name.
*/
- LabelCategoryConfigS3Uri?: S3Uri;
+ UserProfileName: UserProfileName;
/**
- * A set of conditions for stopping a labeling job. If any of the conditions are met, the job is automatically stopped.
+ * The type of app.
*/
- StoppingConditions?: LabelingJobStoppingConditions;
+ AppType: AppType;
/**
- * Configuration information for automated data labeling.
+ * The name of the app.
*/
- LabelingJobAlgorithmsConfig?: LabelingJobAlgorithmsConfig;
+ AppName: AppName;
+ }
+ export interface DescribeAppResponse {
/**
- * Configuration information required for human workers to complete a labeling task.
+ * The app's Amazon Resource Name (ARN).
*/
- HumanTaskConfig: HumanTaskConfig;
+ AppArn?: AppArn;
/**
- * An array of key/value pairs. For more information, see Using Cost Allocation Tags in the AWS Billing and Cost Management User Guide.
+ * The type of app.
*/
- Tags?: TagList;
- /**
- * The location of the output produced by the labeling job.
- */
- LabelingJobOutput?: LabelingJobOutput;
- }
- export interface DescribeModelInput {
+ AppType?: AppType;
/**
- * The name of the model.
+ * The name of the app.
*/
- ModelName: ModelName;
- }
- export interface DescribeModelOutput {
+ AppName?: AppName;
/**
- * Name of the Amazon SageMaker model.
+ * The domain ID.
*/
- ModelName: ModelName;
+ DomainId?: DomainId;
/**
- * The location of the primary inference code, associated artifacts, and custom environment map that the inference code uses when it is deployed in production.
+ * The user profile name.
*/
- PrimaryContainer?: ContainerDefinition;
+ UserProfileName?: UserProfileName;
/**
- * The containers in the inference pipeline.
+ * The status.
*/
- Containers?: ContainerDefinitionList;
+ Status?: AppStatus;
/**
- * The Amazon Resource Name (ARN) of the IAM role that you specified for the model.
+ * The timestamp of the last health check.
*/
- ExecutionRoleArn: RoleArn;
+ LastHealthCheckTimestamp?: Timestamp;
/**
- * A VpcConfig object that specifies the VPC that this model has access to. For more information, see Protect Endpoints by Using an Amazon Virtual Private Cloud
+ * The timestamp of the last user's activity.
*/
- VpcConfig?: VpcConfig;
+ LastUserActivityTimestamp?: Timestamp;
/**
- * A timestamp that shows when the model was created.
+ * The creation time.
*/
- CreationTime: Timestamp;
+ CreationTime?: CreationTime;
/**
- * The Amazon Resource Name (ARN) of the model.
+ * The failure reason.
*/
- ModelArn: ModelArn;
+ FailureReason?: FailureReason;
/**
- * If True, no inbound or outbound network calls can be made to or from the model container. The Semantic Segmentation built-in algorithm does not support network isolation.
+ * The instance type and quantity.
*/
- EnableNetworkIsolation?: Boolean;
+ ResourceSpec?: ResourceSpec;
}
- export interface DescribeModelPackageInput {
+ export interface DescribeAutoMLJobRequest {
/**
- * The name of the model package to describe.
+ * Request information about a job using that job's unique name.
*/
- ModelPackageName: ArnOrName;
+ AutoMLJobName: AutoMLJobName;
}
- export interface DescribeModelPackageOutput {
+ export interface DescribeAutoMLJobResponse {
/**
- * The name of the model package being described.
+ * Returns the name of a job.
*/
- ModelPackageName: EntityName;
+ AutoMLJobName: AutoMLJobName;
/**
- * The Amazon Resource Name (ARN) of the model package.
+ * Returns the job's ARN.
*/
- ModelPackageArn: ModelPackageArn;
+ AutoMLJobArn: AutoMLJobArn;
/**
- * A brief summary of the model package.
+ * Returns the job's input data config.
*/
- ModelPackageDescription?: EntityDescription;
+ InputDataConfig: AutoMLInputDataConfig;
/**
- * A timestamp specifying when the model package was created.
+ * Returns the job's output data config.
*/
- CreationTime: CreationTime;
+ OutputDataConfig: AutoMLOutputDataConfig;
/**
- * Details about inference jobs that can be run with models based on this model package.
+ * The Amazon Resource Name (ARN) of the AWS Identity and Access Management (IAM) role that has read permission to the input data location and write permission to the output data location in Amazon S3.
*/
- InferenceSpecification?: InferenceSpecification;
+ RoleArn: RoleArn;
/**
- * Details about the algorithm that was used to create the model package.
+ * Returns the job's objective.
*/
- SourceAlgorithmSpecification?: SourceAlgorithmSpecification;
+ AutoMLJobObjective?: AutoMLJobObjective;
/**
- * Configurations for one or more transform jobs that Amazon SageMaker runs to test the model package.
+ * Returns the job's problem type.
*/
- ValidationSpecification?: ModelPackageValidationSpecification;
+ ProblemType?: ProblemType;
/**
- * The current status of the model package.
+ * Returns the job's config.
*/
- ModelPackageStatus: ModelPackageStatus;
+ AutoMLJobConfig?: AutoMLJobConfig;
/**
- * Details about the current status of the model package.
+ * Returns the job's creation time.
*/
- ModelPackageStatusDetails: ModelPackageStatusDetails;
+ CreationTime: Timestamp;
/**
- * Whether the model package is certified for listing on AWS Marketplace.
+ * Returns the job's end time.
*/
- CertifyForMarketplace?: CertifyForMarketplace;
- }
- export interface DescribeNotebookInstanceInput {
+ EndTime?: Timestamp;
/**
- * The name of the notebook instance that you want information about.
+ * Returns the job's last modified time.
*/
- NotebookInstanceName: NotebookInstanceName;
- }
- export interface DescribeNotebookInstanceLifecycleConfigInput {
+ LastModifiedTime: Timestamp;
/**
- * The name of the lifecycle configuration to describe.
+ * Returns the job's FailureReason.
*/
- NotebookInstanceLifecycleConfigName: NotebookInstanceLifecycleConfigName;
- }
- export interface DescribeNotebookInstanceLifecycleConfigOutput {
+ FailureReason?: AutoMLFailureReason;
/**
- * The Amazon Resource Name (ARN) of the lifecycle configuration.
+ * Returns the job's BestCandidate.
*/
- NotebookInstanceLifecycleConfigArn?: NotebookInstanceLifecycleConfigArn;
+ BestCandidate?: AutoMLCandidate;
/**
- * The name of the lifecycle configuration.
+ * Returns the job's AutoMLJobStatus.
*/
- NotebookInstanceLifecycleConfigName?: NotebookInstanceLifecycleConfigName;
+ AutoMLJobStatus: AutoMLJobStatus;
/**
- * The shell script that runs only once, when you create a notebook instance.
+ * Returns the job's AutoMLJobSecondaryStatus.
*/
- OnCreate?: NotebookInstanceLifecycleConfigList;
+ AutoMLJobSecondaryStatus: AutoMLJobSecondaryStatus;
/**
- * The shell script that runs every time you start a notebook instance, including when you create the notebook instance.
+ * Returns the job's output from GenerateCandidateDefinitionsOnly.
*/
- OnStart?: NotebookInstanceLifecycleConfigList;
+ GenerateCandidateDefinitionsOnly?: GenerateCandidateDefinitionsOnly;
/**
- * A timestamp that tells when the lifecycle configuration was last modified.
+ * Returns information on the job's artifacts found in AutoMLJobArtifacts.
*/
- LastModifiedTime?: LastModifiedTime;
+ AutoMLJobArtifacts?: AutoMLJobArtifacts;
/**
- * A timestamp that tells when the lifecycle configuration was created.
+ * This contains ProblemType, AutoMLJobObjective and CompletionCriteria. They’re auto-inferred values, if not provided by you. If you do provide them, then they’ll be the same as provided.
*/
- CreationTime?: CreationTime;
+ ResolvedAttributes?: ResolvedAttributes;
}
- export interface DescribeNotebookInstanceOutput {
- /**
- * The Amazon Resource Name (ARN) of the notebook instance.
- */
- NotebookInstanceArn?: NotebookInstanceArn;
+ export interface DescribeCodeRepositoryInput {
/**
- * The name of the Amazon SageMaker notebook instance.
+ * The name of the Git repository to describe.
*/
- NotebookInstanceName?: NotebookInstanceName;
+ CodeRepositoryName: EntityName;
+ }
+ export interface DescribeCodeRepositoryOutput {
/**
- * The status of the notebook instance.
+ * The name of the Git repository.
*/
- NotebookInstanceStatus?: NotebookInstanceStatus;
+ CodeRepositoryName: EntityName;
/**
- * If status is Failed, the reason it failed.
+ * The Amazon Resource Name (ARN) of the Git repository.
*/
- FailureReason?: FailureReason;
+ CodeRepositoryArn: CodeRepositoryArn;
/**
- * The URL that you use to connect to the Jupyter notebook that is running in your notebook instance.
+ * The date and time that the repository was created.
*/
- Url?: NotebookInstanceUrl;
+ CreationTime: CreationTime;
/**
- * The type of ML compute instance running on the notebook instance.
+ * The date and time that the repository was last changed.
*/
- InstanceType?: InstanceType;
+ LastModifiedTime: LastModifiedTime;
/**
- * The ID of the VPC subnet.
+ * Configuration details about the repository, including the URL where the repository is located, the default branch, and the Amazon Resource Name (ARN) of the AWS Secrets Manager secret that contains the credentials used to access the repository.
*/
- SubnetId?: SubnetId;
+ GitConfig?: GitConfig;
+ }
+ export interface DescribeCompilationJobRequest {
/**
- * The IDs of the VPC security groups.
+ * The name of the model compilation job that you want information about.
*/
- SecurityGroups?: SecurityGroupIds;
+ CompilationJobName: EntityName;
+ }
+ export interface DescribeCompilationJobResponse {
/**
- * The Amazon Resource Name (ARN) of the IAM role associated with the instance.
+ * The name of the model compilation job.
*/
- RoleArn?: RoleArn;
+ CompilationJobName: EntityName;
/**
- * The AWS KMS key ID Amazon SageMaker uses to encrypt data when storing it on the ML storage volume attached to the instance.
+ * The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker assumes to perform the model compilation job.
*/
- KmsKeyId?: KmsKeyId;
+ CompilationJobArn: CompilationJobArn;
/**
- * The network interface IDs that Amazon SageMaker created at the time of creating the instance.
+ * The status of the model compilation job.
*/
- NetworkInterfaceId?: NetworkInterfaceId;
+ CompilationJobStatus: CompilationJobStatus;
/**
- * A timestamp. Use this parameter to retrieve the time when the notebook instance was last modified.
+ * The time when the model compilation job started the CompilationJob instances. You are billed for the time between this timestamp and the timestamp in the DescribeCompilationJobResponse$CompilationEndTime field. In Amazon CloudWatch Logs, the start time might be later than this time. That's because it takes time to download the compilation job, which depends on the size of the compilation job container.
*/
- LastModifiedTime?: LastModifiedTime;
+ CompilationStartTime?: Timestamp;
/**
- * A timestamp. Use this parameter to return the time when the notebook instance was created
+ * The time when the model compilation job on a compilation job instance ended. For a successful or stopped job, this is when the job's model artifacts have finished uploading. For a failed job, this is when Amazon SageMaker detected that the job failed.
*/
- CreationTime?: CreationTime;
+ CompilationEndTime?: Timestamp;
/**
- * Returns the name of a notebook instance lifecycle configuration. For information about notebook instance lifestyle configurations, see Step 2.1: (Optional) Customize a Notebook Instance
+ * Specifies a limit to how long a model compilation job can run. When the job reaches the time limit, Amazon SageMaker ends the compilation job. Use this API to cap model training costs.
*/
- NotebookInstanceLifecycleConfigName?: NotebookInstanceLifecycleConfigName;
+ StoppingCondition: StoppingCondition;
/**
- * Describes whether Amazon SageMaker provides internet access to the notebook instance. If this value is set to Disabled, the notebook instance does not have internet access, and cannot connect to Amazon SageMaker training and endpoint services. For more information, see Notebook Instances Are Internet-Enabled by Default.
+ * The time that the model compilation job was created.
*/
- DirectInternetAccess?: DirectInternetAccess;
+ CreationTime: CreationTime;
/**
- * The size, in GB, of the ML storage volume attached to the notebook instance.
+ * The time that the status of the model compilation job was last modified.
*/
- VolumeSizeInGB?: NotebookInstanceVolumeSizeInGB;
+ LastModifiedTime: LastModifiedTime;
/**
- * A list of the Elastic Inference (EI) instance types associated with this notebook instance. Currently only one EI instance type can be associated with a notebook instance. For more information, see Using Elastic Inference in Amazon SageMaker.
+ * If a model compilation job failed, the reason it failed.
*/
- AcceleratorTypes?: NotebookInstanceAcceleratorTypes;
+ FailureReason: FailureReason;
/**
- * The Git repository associated with the notebook instance as its default code repository. This can be either the name of a Git repository stored as a resource in your account, or the URL of a Git repository in AWS CodeCommit or in any other Git repository. When you open a notebook instance, it opens in the directory that contains this repository. For more information, see Associating Git Repositories with Amazon SageMaker Notebook Instances.
+ * Information about the location in Amazon S3 that has been configured for storing the model artifacts used in the compilation job.
*/
- DefaultCodeRepository?: CodeRepositoryNameOrUrl;
+ ModelArtifacts: ModelArtifacts;
/**
- * An array of up to three Git repositories associated with the notebook instance. These can be either the names of Git repositories stored as resources in your account, or the URL of Git repositories in AWS CodeCommit or in any other Git repository. These repositories are cloned at the same level as the default repository of your notebook instance. For more information, see Associating Git Repositories with Amazon SageMaker Notebook Instances.
+ * The Amazon Resource Name (ARN) of the model compilation job.
*/
- AdditionalCodeRepositories?: AdditionalCodeRepositoryNamesOrUrls;
+ RoleArn: RoleArn;
/**
- * Whether root access is enabled or disabled for users of the notebook instance. Lifecycle configurations need root access to be able to set up a notebook instance. Because of this, lifecycle configurations associated with a notebook instance always run with root access even if you disable root access for users.
+ * Information about the location in Amazon S3 of the input model artifacts, the name and shape of the expected data inputs, and the framework in which the model was trained.
*/
- RootAccess?: RootAccess;
- }
- export interface DescribeSubscribedWorkteamRequest {
+ InputConfig: InputConfig;
/**
- * The Amazon Resource Name (ARN) of the subscribed work team to describe.
+ * Information about the output location for the compiled model and the target device that the model runs on.
*/
- WorkteamArn: WorkteamArn;
+ OutputConfig: OutputConfig;
}
- export interface DescribeSubscribedWorkteamResponse {
+ export interface DescribeDomainRequest {
/**
- * A Workteam instance that contains information about the work team.
+ * The domain ID.
*/
- SubscribedWorkteam: SubscribedWorkteam;
+ DomainId: DomainId;
}
- export interface DescribeTrainingJobRequest {
+ export interface DescribeDomainResponse {
/**
- * The name of the training job.
+ * The domain's Amazon Resource Name (ARN).
*/
- TrainingJobName: TrainingJobName;
- }
- export interface DescribeTrainingJobResponse {
+ DomainArn?: DomainArn;
/**
- * Name of the model training job.
+ * The domain ID.
*/
- TrainingJobName: TrainingJobName;
+ DomainId?: DomainId;
/**
- * The Amazon Resource Name (ARN) of the training job.
+ * The domain name.
*/
- TrainingJobArn: TrainingJobArn;
+ DomainName?: DomainName;
/**
- * The Amazon Resource Name (ARN) of the associated hyperparameter tuning job if the training job was launched by a hyperparameter tuning job.
+ * The ID of the Amazon Elastic File System (EFS) managed by this Domain.
*/
- TuningJobArn?: HyperParameterTuningJobArn;
+ HomeEfsFileSystemId?: ResourceId;
/**
- * The Amazon Resource Name (ARN) of the Amazon SageMaker Ground Truth labeling job that created the transform or training job.
+ * The SSO managed application instance ID.
*/
- LabelingJobArn?: LabelingJobArn;
+ SingleSignOnManagedApplicationInstanceId?: String256;
/**
- * Information about the Amazon S3 location that is configured for storing model artifacts.
+ * The status.
*/
- ModelArtifacts: ModelArtifacts;
+ Status?: DomainStatus;
/**
- * The status of the training job. Amazon SageMaker provides the following training job statuses: InProgress - The training is in progress. Completed - The training job has completed. Failed - The training job has failed. To see the reason for the failure, see the FailureReason field in the response to a DescribeTrainingJobResponse call. Stopping - The training job is stopping. Stopped - The training job has stopped. For more detailed information, see SecondaryStatus.
+ * The creation time.
*/
- TrainingJobStatus: TrainingJobStatus;
+ CreationTime?: CreationTime;
/**
- * Provides detailed information about the state of the training job. For detailed information on the secondary status of the training job, see StatusMessage under SecondaryStatusTransition. Amazon SageMaker provides primary statuses and secondary statuses that apply to each of them: InProgress Starting - Starting the training job. Downloading - An optional stage for algorithms that support File training input mode. It indicates that data is being downloaded to the ML storage volumes. Training - Training is in progress. Interrupted - The job stopped because the managed spot training instances were interrupted. Uploading - Training is complete and the model artifacts are being uploaded to the S3 location. Completed Completed - The training job has completed. Failed Failed - The training job has failed. The reason for the failure is returned in the FailureReason field of DescribeTrainingJobResponse. Stopped MaxRuntimeExceeded - The job stopped because it exceeded the maximum allowed runtime. MaxWaitTmeExceeded - The job stopped because it exceeded the maximum allowed wait time. Stopped - The training job has stopped. Stopping Stopping - Stopping the training job. Valid values for SecondaryStatus are subject to change. We no longer support the following secondary statuses: LaunchingMLInstances PreparingTrainingStack DownloadingTrainingImage
+ * The last modified time.
*/
- SecondaryStatus: SecondaryStatus;
+ LastModifiedTime?: LastModifiedTime;
/**
- * If the training job failed, the reason it failed.
+ * The failure reason.
*/
FailureReason?: FailureReason;
/**
- * Algorithm-specific parameters.
+ * The domain's authentication mode.
*/
- HyperParameters?: HyperParameters;
+ AuthMode?: AuthMode;
/**
- * Information about the algorithm used for training, and algorithm metadata.
+ * Settings which are applied to all UserProfile in this domain, if settings are not explicitly specified in a given UserProfile.
*/
- AlgorithmSpecification: AlgorithmSpecification;
+ DefaultUserSettings?: UserSettings;
/**
- * The AWS Identity and Access Management (IAM) role configured for the training job.
+ * The AWS Key Management Service encryption key ID.
*/
- RoleArn?: RoleArn;
+ HomeEfsFileSystemKmsKeyId?: KmsKeyId;
/**
- * An array of Channel objects that describes each data input channel.
+ * Security setting to limit to a set of subnets.
*/
- InputDataConfig?: InputDataConfig;
+ SubnetIds?: Subnets;
/**
- * The S3 path where model artifacts that you configured when creating the job are stored. Amazon SageMaker creates subfolders for model artifacts.
+ * The domain's URL.
*/
- OutputDataConfig?: OutputDataConfig;
+ Url?: String1024;
/**
- * Resources, including ML compute instances and ML storage volumes, that are configured for model training.
+ * The ID of the Amazon Virtual Private Cloud.
*/
- ResourceConfig: ResourceConfig;
+ VpcId?: VpcId;
+ }
+ export interface DescribeEndpointConfigInput {
/**
- * A VpcConfig object that specifies the VPC that this training job has access to. For more information, see Protect Training Jobs by Using an Amazon Virtual Private Cloud.
+ * The name of the endpoint configuration.
*/
- VpcConfig?: VpcConfig;
+ EndpointConfigName: EndpointConfigName;
+ }
+ export interface DescribeEndpointConfigOutput {
/**
- * Specifies a limit to how long a model training job can run. It also specifies the maximum time to wait for a spot instance. When the job reaches the time limit, Amazon SageMaker ends the training job. Use this API to cap model training costs. To stop a job, Amazon SageMaker sends the algorithm the SIGTERM signal, which delays job termination for 120 seconds. Algorithms can use this 120-second window to save the model artifacts, so the results of training are not lost.
+ * Name of the Amazon SageMaker endpoint configuration.
*/
- StoppingCondition: StoppingCondition;
+ EndpointConfigName: EndpointConfigName;
/**
- * A timestamp that indicates when the training job was created.
+ * The Amazon Resource Name (ARN) of the endpoint configuration.
*/
- CreationTime: Timestamp;
+ EndpointConfigArn: EndpointConfigArn;
/**
- * Indicates the time when the training job starts on training instances. You are billed for the time interval between this time and the value of TrainingEndTime. The start time in CloudWatch Logs might be later than this time. The difference is due to the time it takes to download the training data and to the size of the training container.
+ * An array of ProductionVariant objects, one for each model that you want to host at this endpoint.
*/
- TrainingStartTime?: Timestamp;
+ ProductionVariants: ProductionVariantList;
+ DataCaptureConfig?: DataCaptureConfig;
/**
- * Indicates the time when the training job ends on training instances. You are billed for the time interval between the value of TrainingStartTime and this time. For successful jobs and stopped jobs, this is the time after model artifacts are uploaded. For failed jobs, this is the time when Amazon SageMaker detects a job failure.
+ * AWS KMS key ID Amazon SageMaker uses to encrypt data when storing it on the ML storage volume attached to the instance.
*/
- TrainingEndTime?: Timestamp;
+ KmsKeyId?: KmsKeyId;
/**
- * A timestamp that indicates when the status of the training job was last modified.
+ * A timestamp that shows when the endpoint configuration was created.
*/
- LastModifiedTime?: Timestamp;
+ CreationTime: Timestamp;
+ }
+ export interface DescribeEndpointInput {
/**
- * A history of all of the secondary statuses that the training job has transitioned through.
+ * The name of the endpoint.
*/
- SecondaryStatusTransitions?: SecondaryStatusTransitions;
+ EndpointName: EndpointName;
+ }
+ export interface DescribeEndpointOutput {
/**
- * A collection of MetricData objects that specify the names, values, and dates and times that the training algorithm emitted to Amazon CloudWatch.
+ * Name of the endpoint.
*/
- FinalMetricDataList?: FinalMetricDataList;
+ EndpointName: EndpointName;
/**
- * If you want to allow inbound or outbound network calls, except for calls between peers within a training cluster for distributed training, choose True. If you enable network isolation for training jobs that are configured to use a VPC, Amazon SageMaker downloads and uploads customer data and model artifacts through the specified VPC, but the training container does not have network access. The Semantic Segmentation built-in algorithm does not support network isolation.
+ * The Amazon Resource Name (ARN) of the endpoint.
*/
- EnableNetworkIsolation?: Boolean;
+ EndpointArn: EndpointArn;
/**
- * To encrypt all communications between ML compute instances in distributed training, choose True. Encryption provides greater security for distributed training, but training might take longer. How long it takes depends on the amount of communication between compute instances, especially if you use a deep learning algorithms in distributed training.
+ * The name of the endpoint configuration associated with this endpoint.
+ */
+ EndpointConfigName: EndpointConfigName;
+ /**
+ * An array of ProductionVariantSummary objects, one for each model hosted behind this endpoint.
+ */
+ ProductionVariants?: ProductionVariantSummaryList;
+ DataCaptureConfig?: DataCaptureConfigSummary;
+ /**
+ * The status of the endpoint. OutOfService: Endpoint is not available to take incoming requests. Creating: CreateEndpoint is executing. Updating: UpdateEndpoint or UpdateEndpointWeightsAndCapacities is executing. SystemUpdating: Endpoint is undergoing maintenance and cannot be updated or deleted or re-scaled until it has completed. This maintenance operation does not change any customer-specified values such as VPC config, KMS encryption, model, instance type, or instance count. RollingBack: Endpoint fails to scale up or down or change its variant weight and is in the process of rolling back to its previous configuration. Once the rollback completes, endpoint returns to an InService status. This transitional status only applies to an endpoint that has autoscaling enabled and is undergoing variant weight or capacity changes as part of an UpdateEndpointWeightsAndCapacities call or when the UpdateEndpointWeightsAndCapacities operation is called explicitly. InService: Endpoint is available to process incoming requests. Deleting: DeleteEndpoint is executing. Failed: Endpoint could not be created, updated, or re-scaled. Use DescribeEndpointOutput$FailureReason for information about the failure. DeleteEndpoint is the only operation that can be performed on a failed endpoint.
+ */
+ EndpointStatus: EndpointStatus;
+ /**
+ * If the status of the endpoint is Failed, the reason why it failed.
+ */
+ FailureReason?: FailureReason;
+ /**
+ * A timestamp that shows when the endpoint was created.
+ */
+ CreationTime: Timestamp;
+ /**
+ * A timestamp that shows when the endpoint was last modified.
+ */
+ LastModifiedTime: Timestamp;
+ }
+ export interface DescribeExperimentRequest {
+ /**
+ * The name of the experiment to describe.
+ */
+ ExperimentName: ExperimentEntityName;
+ }
+ export interface DescribeExperimentResponse {
+ /**
+ * The name of the experiment.
+ */
+ ExperimentName?: ExperimentEntityName;
+ /**
+ * The Amazon Resource Name (ARN) of the experiment.
+ */
+ ExperimentArn?: ExperimentArn;
+ /**
+ * The name of the experiment as displayed. If DisplayName isn't specified, ExperimentName is displayed.
+ */
+ DisplayName?: ExperimentEntityName;
+ /**
+ * The ARN of the source and, optionally, the type.
+ */
+ Source?: ExperimentSource;
+ /**
+ * The description of the experiment.
+ */
+ Description?: ExperimentDescription;
+ /**
+ * When the experiment was created.
+ */
+ CreationTime?: Timestamp;
+ /**
+ * Who created the experiment.
+ */
+ CreatedBy?: UserContext;
+ /**
+ * When the experiment was last modified.
+ */
+ LastModifiedTime?: Timestamp;
+ /**
+ * Who last modified the experiment.
+ */
+ LastModifiedBy?: UserContext;
+ }
+ export interface DescribeFlowDefinitionRequest {
+ /**
+ * The name of the flow definition.
+ */
+ FlowDefinitionName: FlowDefinitionName;
+ }
+ export interface DescribeFlowDefinitionResponse {
+ /**
+ * The Amazon Resource Name (ARN) of the flow defintion.
+ */
+ FlowDefinitionArn: FlowDefinitionArn;
+ /**
+ * The Amazon Resource Name (ARN) of the flow definition.
+ */
+ FlowDefinitionName: FlowDefinitionName;
+ /**
+ * The status of the flow definition. Valid values are listed below.
+ */
+ FlowDefinitionStatus: FlowDefinitionStatus;
+ /**
+ * The timestamp when the flow definition was created.
+ */
+ CreationTime: Timestamp;
+ /**
+ * An object containing information about what triggers a human review workflow.
+ */
+ HumanLoopActivationConfig?: HumanLoopActivationConfig;
+ /**
+ * An object containing information about who works on the task, the workforce task price, and other task details.
+ */
+ HumanLoopConfig: HumanLoopConfig;
+ /**
+ * An object containing information about the output file.
+ */
+ OutputConfig: FlowDefinitionOutputConfig;
+ /**
+ * The Amazon Resource Name (ARN) of the AWS Identity and Access Management (IAM) execution role for the flow definition.
+ */
+ RoleArn: RoleArn;
+ /**
+ *
+ */
+ FailureReason?: FailureReason;
+ }
+ export interface DescribeHumanTaskUiRequest {
+ /**
+ * The name of the human task user interface you want information about.
+ */
+ HumanTaskUiName: HumanTaskUiName;
+ }
+ export interface DescribeHumanTaskUiResponse {
+ /**
+ * The Amazon Resource Name (ARN) of the human task user interface.
+ */
+ HumanTaskUiArn: HumanTaskUiArn;
+ /**
+ * The name of the human task user interface.
+ */
+ HumanTaskUiName: HumanTaskUiName;
+ /**
+ * The timestamp when the human task user interface was created.
+ */
+ CreationTime: Timestamp;
+ UiTemplate: UiTemplateInfo;
+ }
+ export interface DescribeHyperParameterTuningJobRequest {
+ /**
+ * The name of the tuning job to describe.
+ */
+ HyperParameterTuningJobName: HyperParameterTuningJobName;
+ }
+ export interface DescribeHyperParameterTuningJobResponse {
+ /**
+ * The name of the tuning job.
+ */
+ HyperParameterTuningJobName: HyperParameterTuningJobName;
+ /**
+ * The Amazon Resource Name (ARN) of the tuning job.
+ */
+ HyperParameterTuningJobArn: HyperParameterTuningJobArn;
+ /**
+ * The HyperParameterTuningJobConfig object that specifies the configuration of the tuning job.
+ */
+ HyperParameterTuningJobConfig: HyperParameterTuningJobConfig;
+ /**
+ * The HyperParameterTrainingJobDefinition object that specifies the definition of the training jobs that this tuning job launches.
+ */
+ TrainingJobDefinition?: HyperParameterTrainingJobDefinition;
+ /**
+ *
+ */
+ TrainingJobDefinitions?: HyperParameterTrainingJobDefinitions;
+ /**
+ * The status of the tuning job: InProgress, Completed, Failed, Stopping, or Stopped.
+ */
+ HyperParameterTuningJobStatus: HyperParameterTuningJobStatus;
+ /**
+ * The date and time that the tuning job started.
+ */
+ CreationTime: Timestamp;
+ /**
+ * The date and time that the tuning job ended.
+ */
+ HyperParameterTuningEndTime?: Timestamp;
+ /**
+ * The date and time that the status of the tuning job was modified.
+ */
+ LastModifiedTime?: Timestamp;
+ /**
+ * The TrainingJobStatusCounters object that specifies the number of training jobs, categorized by status, that this tuning job launched.
+ */
+ TrainingJobStatusCounters: TrainingJobStatusCounters;
+ /**
+ * The ObjectiveStatusCounters object that specifies the number of training jobs, categorized by the status of their final objective metric, that this tuning job launched.
+ */
+ ObjectiveStatusCounters: ObjectiveStatusCounters;
+ /**
+ * A TrainingJobSummary object that describes the training job that completed with the best current HyperParameterTuningJobObjective.
+ */
+ BestTrainingJob?: HyperParameterTrainingJobSummary;
+ /**
+ * If the hyperparameter tuning job is an warm start tuning job with a WarmStartType of IDENTICAL_DATA_AND_ALGORITHM, this is the TrainingJobSummary for the training job with the best objective metric value of all training jobs launched by this tuning job and all parent jobs specified for the warm start tuning job.
+ */
+ OverallBestTrainingJob?: HyperParameterTrainingJobSummary;
+ /**
+ * The configuration for starting the hyperparameter parameter tuning job using one or more previous tuning jobs as a starting point. The results of previous tuning jobs are used to inform which combinations of hyperparameters to search over in the new tuning job.
+ */
+ WarmStartConfig?: HyperParameterTuningJobWarmStartConfig;
+ /**
+ * If the tuning job failed, the reason it failed.
+ */
+ FailureReason?: FailureReason;
+ }
+ export interface DescribeLabelingJobRequest {
+ /**
+ * The name of the labeling job to return information for.
+ */
+ LabelingJobName: LabelingJobName;
+ }
+ export interface DescribeLabelingJobResponse {
+ /**
+ * The processing status of the labeling job.
+ */
+ LabelingJobStatus: LabelingJobStatus;
+ /**
+ * Provides a breakdown of the number of data objects labeled by humans, the number of objects labeled by machine, the number of objects than couldn't be labeled, and the total number of objects labeled.
+ */
+ LabelCounters: LabelCounters;
+ /**
+ * If the job failed, the reason that it failed.
+ */
+ FailureReason?: FailureReason;
+ /**
+ * The date and time that the labeling job was created.
+ */
+ CreationTime: Timestamp;
+ /**
+ * The date and time that the labeling job was last updated.
+ */
+ LastModifiedTime: Timestamp;
+ /**
+ * A unique identifier for work done as part of a labeling job.
+ */
+ JobReferenceCode: JobReferenceCode;
+ /**
+ * The name assigned to the labeling job when it was created.
+ */
+ LabelingJobName: LabelingJobName;
+ /**
+ * The Amazon Resource Name (ARN) of the labeling job.
+ */
+ LabelingJobArn: LabelingJobArn;
+ /**
+ * The attribute used as the label in the output manifest file.
+ */
+ LabelAttributeName?: LabelAttributeName;
+ /**
+ * Input configuration information for the labeling job, such as the Amazon S3 location of the data objects and the location of the manifest file that describes the data objects.
+ */
+ InputConfig: LabelingJobInputConfig;
+ /**
+ * The location of the job's output data and the AWS Key Management Service key ID for the key used to encrypt the output data, if any.
+ */
+ OutputConfig: LabelingJobOutputConfig;
+ /**
+ * The Amazon Resource Name (ARN) that Amazon SageMaker assumes to perform tasks on your behalf during data labeling.
+ */
+ RoleArn: RoleArn;
+ /**
+ * The S3 location of the JSON file that defines the categories used to label data objects. Please note the following label-category limits: Semantic segmentation labeling jobs using automated labeling: 20 labels Box bounding labeling jobs (all): 10 lables The file is a JSON structure in the following format: { "document-version": "2018-11-28" "labels": [ { "label": "label 1" }, { "label": "label 2" }, ... { "label": "label n" } ] }
+ */
+ LabelCategoryConfigS3Uri?: S3Uri;
+ /**
+ * A set of conditions for stopping a labeling job. If any of the conditions are met, the job is automatically stopped.
+ */
+ StoppingConditions?: LabelingJobStoppingConditions;
+ /**
+ * Configuration information for automated data labeling.
+ */
+ LabelingJobAlgorithmsConfig?: LabelingJobAlgorithmsConfig;
+ /**
+ * Configuration information required for human workers to complete a labeling task.
+ */
+ HumanTaskConfig: HumanTaskConfig;
+ /**
+ * An array of key/value pairs. For more information, see Using Cost Allocation Tags in the AWS Billing and Cost Management User Guide.
+ */
+ Tags?: TagList;
+ /**
+ * The location of the output produced by the labeling job.
+ */
+ LabelingJobOutput?: LabelingJobOutput;
+ }
+ export interface DescribeModelInput {
+ /**
+ * The name of the model.
+ */
+ ModelName: ModelName;
+ }
+ export interface DescribeModelOutput {
+ /**
+ * Name of the Amazon SageMaker model.
+ */
+ ModelName: ModelName;
+ /**
+ * The location of the primary inference code, associated artifacts, and custom environment map that the inference code uses when it is deployed in production.
+ */
+ PrimaryContainer?: ContainerDefinition;
+ /**
+ * The containers in the inference pipeline.
+ */
+ Containers?: ContainerDefinitionList;
+ /**
+ * The Amazon Resource Name (ARN) of the IAM role that you specified for the model.
+ */
+ ExecutionRoleArn: RoleArn;
+ /**
+ * A VpcConfig object that specifies the VPC that this model has access to. For more information, see Protect Endpoints by Using an Amazon Virtual Private Cloud
+ */
+ VpcConfig?: VpcConfig;
+ /**
+ * A timestamp that shows when the model was created.
+ */
+ CreationTime: Timestamp;
+ /**
+ * The Amazon Resource Name (ARN) of the model.
+ */
+ ModelArn: ModelArn;
+ /**
+ * If True, no inbound or outbound network calls can be made to or from the model container. The Semantic Segmentation built-in algorithm does not support network isolation.
+ */
+ EnableNetworkIsolation?: Boolean;
+ }
+ export interface DescribeModelPackageInput {
+ /**
+ * The name of the model package to describe.
+ */
+ ModelPackageName: ArnOrName;
+ }
+ export interface DescribeModelPackageOutput {
+ /**
+ * The name of the model package being described.
+ */
+ ModelPackageName: EntityName;
+ /**
+ * The Amazon Resource Name (ARN) of the model package.
+ */
+ ModelPackageArn: ModelPackageArn;
+ /**
+ * A brief summary of the model package.
+ */
+ ModelPackageDescription?: EntityDescription;
+ /**
+ * A timestamp specifying when the model package was created.
+ */
+ CreationTime: CreationTime;
+ /**
+ * Details about inference jobs that can be run with models based on this model package.
+ */
+ InferenceSpecification?: InferenceSpecification;
+ /**
+ * Details about the algorithm that was used to create the model package.
+ */
+ SourceAlgorithmSpecification?: SourceAlgorithmSpecification;
+ /**
+ * Configurations for one or more transform jobs that Amazon SageMaker runs to test the model package.
+ */
+ ValidationSpecification?: ModelPackageValidationSpecification;
+ /**
+ * The current status of the model package.
+ */
+ ModelPackageStatus: ModelPackageStatus;
+ /**
+ * Details about the current status of the model package.
+ */
+ ModelPackageStatusDetails: ModelPackageStatusDetails;
+ /**
+ * Whether the model package is certified for listing on AWS Marketplace.
+ */
+ CertifyForMarketplace?: CertifyForMarketplace;
+ }
+ export interface DescribeMonitoringScheduleRequest {
+ /**
+ * Name of a previously created monitoring schedule.
+ */
+ MonitoringScheduleName: MonitoringScheduleName;
+ }
+ export interface DescribeMonitoringScheduleResponse {
+ /**
+ * The Amazon Resource Name (ARN) of the monitoring schedule.
+ */
+ MonitoringScheduleArn: MonitoringScheduleArn;
+ /**
+ * Name of the monitoring schedule.
+ */
+ MonitoringScheduleName: MonitoringScheduleName;
+ /**
+ * The status of an monitoring job.
+ */
+ MonitoringScheduleStatus: ScheduleStatus;
+ /**
+ * A string, up to one KB in size, that contains the reason a monitoring job failed, if it failed.
+ */
+ FailureReason?: FailureReason;
+ /**
+ * The time at which the monitoring job was created.
+ */
+ CreationTime: Timestamp;
+ /**
+ * The time at which the monitoring job was last modified.
+ */
+ LastModifiedTime: Timestamp;
+ /**
+ * The configuration object that specifies the monitoring schedule and defines the monitoring job.
+ */
+ MonitoringScheduleConfig: MonitoringScheduleConfig;
+ /**
+ * The name of the endpoint for the monitoring job.
+ */
+ EndpointName?: EndpointName;
+ /**
+ * Describes metadata on the last execution to run, if there was one.
+ */
+ LastMonitoringExecutionSummary?: MonitoringExecutionSummary;
+ }
+ export interface DescribeNotebookInstanceInput {
+ /**
+ * The name of the notebook instance that you want information about.
+ */
+ NotebookInstanceName: NotebookInstanceName;
+ }
+ export interface DescribeNotebookInstanceLifecycleConfigInput {
+ /**
+ * The name of the lifecycle configuration to describe.
+ */
+ NotebookInstanceLifecycleConfigName: NotebookInstanceLifecycleConfigName;
+ }
+ export interface DescribeNotebookInstanceLifecycleConfigOutput {
+ /**
+ * The Amazon Resource Name (ARN) of the lifecycle configuration.
+ */
+ NotebookInstanceLifecycleConfigArn?: NotebookInstanceLifecycleConfigArn;
+ /**
+ * The name of the lifecycle configuration.
+ */
+ NotebookInstanceLifecycleConfigName?: NotebookInstanceLifecycleConfigName;
+ /**
+ * The shell script that runs only once, when you create a notebook instance.
+ */
+ OnCreate?: NotebookInstanceLifecycleConfigList;
+ /**
+ * The shell script that runs every time you start a notebook instance, including when you create the notebook instance.
+ */
+ OnStart?: NotebookInstanceLifecycleConfigList;
+ /**
+ * A timestamp that tells when the lifecycle configuration was last modified.
+ */
+ LastModifiedTime?: LastModifiedTime;
+ /**
+ * A timestamp that tells when the lifecycle configuration was created.
+ */
+ CreationTime?: CreationTime;
+ }
+ export interface DescribeNotebookInstanceOutput {
+ /**
+ * The Amazon Resource Name (ARN) of the notebook instance.
+ */
+ NotebookInstanceArn?: NotebookInstanceArn;
+ /**
+ * The name of the Amazon SageMaker notebook instance.
+ */
+ NotebookInstanceName?: NotebookInstanceName;
+ /**
+ * The status of the notebook instance.
+ */
+ NotebookInstanceStatus?: NotebookInstanceStatus;
+ /**
+ * If status is Failed, the reason it failed.
+ */
+ FailureReason?: FailureReason;
+ /**
+ * The URL that you use to connect to the Jupyter notebook that is running in your notebook instance.
+ */
+ Url?: NotebookInstanceUrl;
+ /**
+ * The type of ML compute instance running on the notebook instance.
+ */
+ InstanceType?: InstanceType;
+ /**
+ * The ID of the VPC subnet.
+ */
+ SubnetId?: SubnetId;
+ /**
+ * The IDs of the VPC security groups.
+ */
+ SecurityGroups?: SecurityGroupIds;
+ /**
+ * The Amazon Resource Name (ARN) of the IAM role associated with the instance.
+ */
+ RoleArn?: RoleArn;
+ /**
+ * The AWS KMS key ID Amazon SageMaker uses to encrypt data when storing it on the ML storage volume attached to the instance.
+ */
+ KmsKeyId?: KmsKeyId;
+ /**
+ * The network interface IDs that Amazon SageMaker created at the time of creating the instance.
+ */
+ NetworkInterfaceId?: NetworkInterfaceId;
+ /**
+ * A timestamp. Use this parameter to retrieve the time when the notebook instance was last modified.
+ */
+ LastModifiedTime?: LastModifiedTime;
+ /**
+ * A timestamp. Use this parameter to return the time when the notebook instance was created
+ */
+ CreationTime?: CreationTime;
+ /**
+ * Returns the name of a notebook instance lifecycle configuration. For information about notebook instance lifestyle configurations, see Step 2.1: (Optional) Customize a Notebook Instance
+ */
+ NotebookInstanceLifecycleConfigName?: NotebookInstanceLifecycleConfigName;
+ /**
+ * Describes whether Amazon SageMaker provides internet access to the notebook instance. If this value is set to Disabled, the notebook instance does not have internet access, and cannot connect to Amazon SageMaker training and endpoint services. For more information, see Notebook Instances Are Internet-Enabled by Default.
+ */
+ DirectInternetAccess?: DirectInternetAccess;
+ /**
+ * The size, in GB, of the ML storage volume attached to the notebook instance.
+ */
+ VolumeSizeInGB?: NotebookInstanceVolumeSizeInGB;
+ /**
+ * A list of the Elastic Inference (EI) instance types associated with this notebook instance. Currently only one EI instance type can be associated with a notebook instance. For more information, see Using Elastic Inference in Amazon SageMaker.
+ */
+ AcceleratorTypes?: NotebookInstanceAcceleratorTypes;
+ /**
+ * The Git repository associated with the notebook instance as its default code repository. This can be either the name of a Git repository stored as a resource in your account, or the URL of a Git repository in AWS CodeCommit or in any other Git repository. When you open a notebook instance, it opens in the directory that contains this repository. For more information, see Associating Git Repositories with Amazon SageMaker Notebook Instances.
+ */
+ DefaultCodeRepository?: CodeRepositoryNameOrUrl;
+ /**
+ * An array of up to three Git repositories associated with the notebook instance. These can be either the names of Git repositories stored as resources in your account, or the URL of Git repositories in AWS CodeCommit or in any other Git repository. These repositories are cloned at the same level as the default repository of your notebook instance. For more information, see Associating Git Repositories with Amazon SageMaker Notebook Instances.
+ */
+ AdditionalCodeRepositories?: AdditionalCodeRepositoryNamesOrUrls;
+ /**
+ * Whether root access is enabled or disabled for users of the notebook instance. Lifecycle configurations need root access to be able to set up a notebook instance. Because of this, lifecycle configurations associated with a notebook instance always run with root access even if you disable root access for users.
+ */
+ RootAccess?: RootAccess;
+ }
+ export interface DescribeProcessingJobRequest {
+ /**
+ * The name of the processing job. The name must be unique within an AWS Region in the AWS account.
+ */
+ ProcessingJobName: ProcessingJobName;
+ }
+ export interface DescribeProcessingJobResponse {
+ /**
+ * The inputs for a processing job.
+ */
+ ProcessingInputs?: ProcessingInputs;
+ /**
+ * Output configuration for the processing job.
+ */
+ ProcessingOutputConfig?: ProcessingOutputConfig;
+ /**
+ * The name of the processing job. The name must be unique within an AWS Region in the AWS account.
+ */
+ ProcessingJobName: ProcessingJobName;
+ /**
+ * Identifies the resources, ML compute instances, and ML storage volumes to deploy for a processing job. In distributed training, you specify more than one instance.
+ */
+ ProcessingResources: ProcessingResources;
+ /**
+ * The time limit for how long the processing job is allowed to run.
+ */
+ StoppingCondition?: ProcessingStoppingCondition;
+ /**
+ * Configures the processing job to run a specified container image.
+ */
+ AppSpecification: AppSpecification;
+ /**
+ * The environment variables set in the Docker container.
+ */
+ Environment?: ProcessingEnvironmentMap;
+ /**
+ * Networking options for a processing job.
+ */
+ NetworkConfig?: NetworkConfig;
+ /**
+ * The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker can assume to perform tasks on your behalf.
+ */
+ RoleArn?: RoleArn;
+ /**
+ * The configuration information used to create an experiment.
+ */
+ ExperimentConfig?: ExperimentConfig;
+ /**
+ * The Amazon Resource Name (ARN) of the processing job.
+ */
+ ProcessingJobArn: ProcessingJobArn;
+ /**
+ * Provides the status of a processing job.
+ */
+ ProcessingJobStatus: ProcessingJobStatus;
+ /**
+ * An optional string, up to one KB in size, that contains metadata from the processing container when the processing job exits.
+ */
+ ExitMessage?: ExitMessage;
+ /**
+ * A string, up to one KB in size, that contains the reason a processing job failed, if it failed.
+ */
+ FailureReason?: FailureReason;
+ /**
+ * The time at which the processing job completed.
+ */
+ ProcessingEndTime?: Timestamp;
+ /**
+ * The time at which the processing job started.
+ */
+ ProcessingStartTime?: Timestamp;
+ /**
+ * The time at which the processing job was last modified.
+ */
+ LastModifiedTime?: Timestamp;
+ /**
+ * The time at which the processing job was created.
+ */
+ CreationTime: Timestamp;
+ /**
+ * The ARN of a monitoring schedule for an endpoint associated with this processing job.
+ */
+ MonitoringScheduleArn?: MonitoringScheduleArn;
+ /**
+ * The ARN of an AutoML job associated with this processing job.
+ */
+ AutoMLJobArn?: AutoMLJobArn;
+ /**
+ * The ARN of a training job associated with this processing job.
+ */
+ TrainingJobArn?: TrainingJobArn;
+ }
+ export interface DescribeSubscribedWorkteamRequest {
+ /**
+ * The Amazon Resource Name (ARN) of the subscribed work team to describe.
+ */
+ WorkteamArn: WorkteamArn;
+ }
+ export interface DescribeSubscribedWorkteamResponse {
+ /**
+ * A Workteam instance that contains information about the work team.
+ */
+ SubscribedWorkteam: SubscribedWorkteam;
+ }
+ export interface DescribeTrainingJobRequest {
+ /**
+ * The name of the training job.
+ */
+ TrainingJobName: TrainingJobName;
+ }
+ export interface DescribeTrainingJobResponse {
+ /**
+ * Name of the model training job.
+ */
+ TrainingJobName: TrainingJobName;
+ /**
+ * The Amazon Resource Name (ARN) of the training job.
+ */
+ TrainingJobArn: TrainingJobArn;
+ /**
+ * The Amazon Resource Name (ARN) of the associated hyperparameter tuning job if the training job was launched by a hyperparameter tuning job.
+ */
+ TuningJobArn?: HyperParameterTuningJobArn;
+ /**
+ * The Amazon Resource Name (ARN) of the Amazon SageMaker Ground Truth labeling job that created the transform or training job.
+ */
+ LabelingJobArn?: LabelingJobArn;
+ /**
+ *
+ */
+ AutoMLJobArn?: AutoMLJobArn;
+ /**
+ * Information about the Amazon S3 location that is configured for storing model artifacts.
+ */
+ ModelArtifacts: ModelArtifacts;
+ /**
+ * The status of the training job. Amazon SageMaker provides the following training job statuses: InProgress - The training is in progress. Completed - The training job has completed. Failed - The training job has failed. To see the reason for the failure, see the FailureReason field in the response to a DescribeTrainingJobResponse call. Stopping - The training job is stopping. Stopped - The training job has stopped. For more detailed information, see SecondaryStatus.
+ */
+ TrainingJobStatus: TrainingJobStatus;
+ /**
+ * Provides detailed information about the state of the training job. For detailed information on the secondary status of the training job, see StatusMessage under SecondaryStatusTransition. Amazon SageMaker provides primary statuses and secondary statuses that apply to each of them: InProgress Starting - Starting the training job. Downloading - An optional stage for algorithms that support File training input mode. It indicates that data is being downloaded to the ML storage volumes. Training - Training is in progress. Interrupted - The job stopped because the managed spot training instances were interrupted. Uploading - Training is complete and the model artifacts are being uploaded to the S3 location. Completed Completed - The training job has completed. Failed Failed - The training job has failed. The reason for the failure is returned in the FailureReason field of DescribeTrainingJobResponse. Stopped MaxRuntimeExceeded - The job stopped because it exceeded the maximum allowed runtime. MaxWaitTmeExceeded - The job stopped because it exceeded the maximum allowed wait time. Stopped - The training job has stopped. Stopping Stopping - Stopping the training job. Valid values for SecondaryStatus are subject to change. We no longer support the following secondary statuses: LaunchingMLInstances PreparingTrainingStack DownloadingTrainingImage
+ */
+ SecondaryStatus: SecondaryStatus;
+ /**
+ * If the training job failed, the reason it failed.
+ */
+ FailureReason?: FailureReason;
+ /**
+ * Algorithm-specific parameters.
+ */
+ HyperParameters?: HyperParameters;
+ /**
+ * Information about the algorithm used for training, and algorithm metadata.
+ */
+ AlgorithmSpecification: AlgorithmSpecification;
+ /**
+ * The AWS Identity and Access Management (IAM) role configured for the training job.
+ */
+ RoleArn?: RoleArn;
+ /**
+ * An array of Channel objects that describes each data input channel.
+ */
+ InputDataConfig?: InputDataConfig;
+ /**
+ * The S3 path where model artifacts that you configured when creating the job are stored. Amazon SageMaker creates subfolders for model artifacts.
+ */
+ OutputDataConfig?: OutputDataConfig;
+ /**
+ * Resources, including ML compute instances and ML storage volumes, that are configured for model training.
+ */
+ ResourceConfig: ResourceConfig;
+ /**
+ * A VpcConfig object that specifies the VPC that this training job has access to. For more information, see Protect Training Jobs by Using an Amazon Virtual Private Cloud.
+ */
+ VpcConfig?: VpcConfig;
+ /**
+ * Specifies a limit to how long a model training job can run. It also specifies the maximum time to wait for a spot instance. When the job reaches the time limit, Amazon SageMaker ends the training job. Use this API to cap model training costs. To stop a job, Amazon SageMaker sends the algorithm the SIGTERM signal, which delays job termination for 120 seconds. Algorithms can use this 120-second window to save the model artifacts, so the results of training are not lost.
+ */
+ StoppingCondition: StoppingCondition;
+ /**
+ * A timestamp that indicates when the training job was created.
+ */
+ CreationTime: Timestamp;
+ /**
+ * Indicates the time when the training job starts on training instances. You are billed for the time interval between this time and the value of TrainingEndTime. The start time in CloudWatch Logs might be later than this time. The difference is due to the time it takes to download the training data and to the size of the training container.
+ */
+ TrainingStartTime?: Timestamp;
+ /**
+ * Indicates the time when the training job ends on training instances. You are billed for the time interval between the value of TrainingStartTime and this time. For successful jobs and stopped jobs, this is the time after model artifacts are uploaded. For failed jobs, this is the time when Amazon SageMaker detects a job failure.
+ */
+ TrainingEndTime?: Timestamp;
+ /**
+ * A timestamp that indicates when the status of the training job was last modified.
+ */
+ LastModifiedTime?: Timestamp;
+ /**
+ * A history of all of the secondary statuses that the training job has transitioned through.
+ */
+ SecondaryStatusTransitions?: SecondaryStatusTransitions;
+ /**
+ * A collection of MetricData objects that specify the names, values, and dates and times that the training algorithm emitted to Amazon CloudWatch.
+ */
+ FinalMetricDataList?: FinalMetricDataList;
+ /**
+ * If you want to allow inbound or outbound network calls, except for calls between peers within a training cluster for distributed training, choose True. If you enable network isolation for training jobs that are configured to use a VPC, Amazon SageMaker downloads and uploads customer data and model artifacts through the specified VPC, but the training container does not have network access. The Semantic Segmentation built-in algorithm does not support network isolation.
+ */
+ EnableNetworkIsolation?: Boolean;
+ /**
+ * To encrypt all communications between ML compute instances in distributed training, choose True. Encryption provides greater security for distributed training, but training might take longer. How long it takes depends on the amount of communication between compute instances, especially if you use a deep learning algorithms in distributed training.
*/
EnableInterContainerTrafficEncryption?: Boolean;
/**
@@ -2342,6 +4197,17 @@ declare namespace SageMaker {
* The billable time in seconds. You can calculate the savings from using managed spot training using the formula (1 - BillableTimeInSeconds / TrainingTimeInSeconds) * 100. For example, if BillableTimeInSeconds is 100 and TrainingTimeInSeconds is 500, the savings is 80%.
*/
BillableTimeInSeconds?: BillableTimeInSeconds;
+ DebugHookConfig?: DebugHookConfig;
+ ExperimentConfig?: ExperimentConfig;
+ /**
+ * Configuration information for debugging rules.
+ */
+ DebugRuleConfigurations?: DebugRuleConfigurations;
+ TensorBoardOutputConfig?: TensorBoardOutputConfig;
+ /**
+ * Status about the debug rule evaluation.
+ */
+ DebugRuleEvaluationStatuses?: DebugRuleEvaluationStatuses;
}
export interface DescribeTransformJobRequest {
/**
@@ -2411,10 +4277,183 @@ declare namespace SageMaker {
*/
TransformEndTime?: Timestamp;
/**
- * The Amazon Resource Name (ARN) of the Amazon SageMaker Ground Truth labeling job that created the transform or training job.
+ * The Amazon Resource Name (ARN) of the Amazon SageMaker Ground Truth labeling job that created the transform or training job.
+ */
+ LabelingJobArn?: LabelingJobArn;
+ /**
+ *
+ */
+ AutoMLJobArn?: AutoMLJobArn;
+ DataProcessing?: DataProcessing;
+ ExperimentConfig?: ExperimentConfig;
+ }
+ export interface DescribeTrialComponentRequest {
+ /**
+ * The name of the trial component to describe.
+ */
+ TrialComponentName: ExperimentEntityName;
+ }
+ export interface DescribeTrialComponentResponse {
+ /**
+ * The name of the trial component.
+ */
+ TrialComponentName?: ExperimentEntityName;
+ /**
+ * The Amazon Resource Name (ARN) of the trial component.
+ */
+ TrialComponentArn?: TrialComponentArn;
+ /**
+ * The name of the component as displayed. If DisplayName isn't specified, TrialComponentName is displayed.
+ */
+ DisplayName?: ExperimentEntityName;
+ /**
+ * The Amazon Resource Name (ARN) of the source and, optionally, the job type.
+ */
+ Source?: TrialComponentSource;
+ /**
+ * The status of the component. States include: InProgress Completed Failed
+ */
+ Status?: TrialComponentStatus;
+ /**
+ * When the component started.
+ */
+ StartTime?: Timestamp;
+ /**
+ * When the component ended.
+ */
+ EndTime?: Timestamp;
+ /**
+ * When the component was created.
+ */
+ CreationTime?: Timestamp;
+ /**
+ * Who created the component.
+ */
+ CreatedBy?: UserContext;
+ /**
+ * When the component was last modified.
+ */
+ LastModifiedTime?: Timestamp;
+ /**
+ * Who last modified the component.
+ */
+ LastModifiedBy?: UserContext;
+ /**
+ * The hyperparameters of the component.
+ */
+ Parameters?: TrialComponentParameters;
+ /**
+ * The input artifacts of the component.
+ */
+ InputArtifacts?: TrialComponentArtifacts;
+ /**
+ * The output artifacts of the component.
+ */
+ OutputArtifacts?: TrialComponentArtifacts;
+ /**
+ * The metrics for the component.
+ */
+ Metrics?: TrialComponentMetricSummaries;
+ }
+ export interface DescribeTrialRequest {
+ /**
+ * The name of the trial to describe.
+ */
+ TrialName: ExperimentEntityName;
+ }
+ export interface DescribeTrialResponse {
+ /**
+ * The name of the trial.
+ */
+ TrialName?: ExperimentEntityName;
+ /**
+ * The Amazon Resource Name (ARN) of the trial.
+ */
+ TrialArn?: TrialArn;
+ /**
+ * The name of the trial as displayed. If DisplayName isn't specified, TrialName is displayed.
+ */
+ DisplayName?: ExperimentEntityName;
+ /**
+ * The name of the experiment the trial is part of.
+ */
+ ExperimentName?: ExperimentEntityName;
+ /**
+ * The Amazon Resource Name (ARN) of the source and, optionally, the job type.
+ */
+ Source?: TrialSource;
+ /**
+ * When the trial was created.
+ */
+ CreationTime?: Timestamp;
+ /**
+ * Who created the trial.
+ */
+ CreatedBy?: UserContext;
+ /**
+ * When the trial was last modified.
+ */
+ LastModifiedTime?: Timestamp;
+ /**
+ * Who last modified the trial.
+ */
+ LastModifiedBy?: UserContext;
+ }
+ export interface DescribeUserProfileRequest {
+ /**
+ * The domain ID.
+ */
+ DomainId: DomainId;
+ /**
+ * The user profile name.
+ */
+ UserProfileName: UserProfileName;
+ }
+ export interface DescribeUserProfileResponse {
+ /**
+ * The domain ID.
+ */
+ DomainId?: DomainId;
+ /**
+ * The user profile Amazon Resource Name (ARN).
+ */
+ UserProfileArn?: UserProfileArn;
+ /**
+ * The user profile name.
+ */
+ UserProfileName?: UserProfileName;
+ /**
+ * The homa Amazon Elastic File System (EFS) Uid.
+ */
+ HomeEfsFileSystemUid?: EfsUid;
+ /**
+ * The status.
+ */
+ Status?: UserProfileStatus;
+ /**
+ * The last modified time.
+ */
+ LastModifiedTime?: LastModifiedTime;
+ /**
+ * The creation time.
+ */
+ CreationTime?: CreationTime;
+ /**
+ * The failure reason.
+ */
+ FailureReason?: FailureReason;
+ /**
+ * The SSO user identifier.
+ */
+ SingleSignOnUserIdentifier?: SingleSignOnUserIdentifier;
+ /**
+ * The SSO user value.
+ */
+ SingleSignOnUserValue?: String256;
+ /**
+ * A collection of settings.
*/
- LabelingJobArn?: LabelingJobArn;
- DataProcessing?: DataProcessing;
+ UserSettings?: UserSettings;
}
export interface DescribeWorkteamRequest {
/**
@@ -2443,6 +4482,7 @@ declare namespace SageMaker {
DesiredInstanceCount?: TaskCount;
}
export type DesiredWeightAndCapacityList = DesiredWeightAndCapacity[];
+ export type DestinationS3Uri = string;
export type DetailedAlgorithmStatus = "NotStarted"|"InProgress"|"Completed"|"Failed"|string;
export type DetailedModelPackageStatus = "NotStarted"|"InProgress"|"Completed"|"Failed"|string;
export type DirectInternetAccess = "Enabled"|"Disabled"|string;
@@ -2451,7 +4491,65 @@ declare namespace SageMaker {
export type DisassociateDefaultCodeRepository = boolean;
export type DisassociateNotebookInstanceAcceleratorTypes = boolean;
export type DisassociateNotebookInstanceLifecycleConfig = boolean;
+ export interface DisassociateTrialComponentRequest {
+ /**
+ * The name of the component to disassociate from the trial.
+ */
+ TrialComponentName: ExperimentEntityName;
+ /**
+ * The name of the trial to disassociate from.
+ */
+ TrialName: ExperimentEntityName;
+ }
+ export interface DisassociateTrialComponentResponse {
+ /**
+ * The ARN of the trial component.
+ */
+ TrialComponentArn?: TrialComponentArn;
+ /**
+ * The Amazon Resource Name (ARN) of the trial.
+ */
+ TrialArn?: TrialArn;
+ }
export type Dollars = number;
+ export type DomainArn = string;
+ export interface DomainDetails {
+ /**
+ * The domain's Amazon Resource Name (ARN).
+ */
+ DomainArn?: DomainArn;
+ /**
+ * The domain ID.
+ */
+ DomainId?: DomainId;
+ /**
+ * The domain name.
+ */
+ DomainName?: DomainName;
+ /**
+ * The status.
+ */
+ Status?: DomainStatus;
+ /**
+ * The creation time.
+ */
+ CreationTime?: CreationTime;
+ /**
+ * The last modified time.
+ */
+ LastModifiedTime?: LastModifiedTime;
+ /**
+ * The domain's URL.
+ */
+ Url?: String1024;
+ }
+ export type DomainId = string;
+ export type DomainList = DomainDetails[];
+ export type DomainName = string;
+ export type DomainStatus = "Deleting"|"Failed"|"InService"|"Pending"|string;
+ export type DoubleParameterValue = number;
+ export type EfsUid = string;
+ export type EnableCapture = boolean;
export type EndpointArn = string;
export type EndpointConfigArn = string;
export type EndpointConfigName = string;
@@ -2472,6 +4570,24 @@ declare namespace SageMaker {
CreationTime: Timestamp;
}
export type EndpointConfigSummaryList = EndpointConfigSummary[];
+ export interface EndpointInput {
+ /**
+ * An endpoint in customer's account which has enabled DataCaptureConfig enabled.
+ */
+ EndpointName: EndpointName;
+ /**
+ * Path to the filesystem where the endpoint data is available to the container.
+ */
+ LocalPath: ProcessingLocalPath;
+ /**
+ * Whether the Pipe or File is used as the input mode for transfering data for the monitoring job. Pipe mode is recommended for large datasets. File mode is useful for small files that fit in memory. Defaults to File.
+ */
+ S3InputMode?: ProcessingS3InputMode;
+ /**
+ * Whether input data distributed in Amazon S3 is fully replicated or sharded by an S3 key. Defauts to FullyReplicated
+ */
+ S3DataDistributionType?: ProcessingS3DataDistributionType;
+ }
export type EndpointName = string;
export type EndpointNameContains = string;
export type EndpointSortKey = "Name"|"CreationTime"|"Status"|string;
@@ -2501,9 +4617,98 @@ declare namespace SageMaker {
export type EndpointSummaryList = EndpointSummary[];
export type EntityDescription = string;
export type EntityName = string;
+ export type EnvironmentArn = string;
export type EnvironmentKey = string;
export type EnvironmentMap = {[key: string]: EnvironmentValue};
export type EnvironmentValue = string;
+ export type ExecutionStatus = "Pending"|"Completed"|"CompletedWithViolations"|"InProgress"|"Failed"|"Stopping"|"Stopped"|string;
+ export type ExitMessage = string;
+ export interface Experiment {
+ /**
+ * The name of the experiment.
+ */
+ ExperimentName?: ExperimentEntityName;
+ /**
+ * The Amazon Resource Name (ARN) of the experiment.
+ */
+ ExperimentArn?: ExperimentArn;
+ /**
+ * The name of the experiment as displayed. If DisplayName isn't specified, ExperimentName is displayed.
+ */
+ DisplayName?: ExperimentEntityName;
+ Source?: ExperimentSource;
+ /**
+ * The description of the experiment.
+ */
+ Description?: ExperimentDescription;
+ /**
+ * When the experiment was created.
+ */
+ CreationTime?: Timestamp;
+ CreatedBy?: UserContext;
+ /**
+ * When the experiment was last modified.
+ */
+ LastModifiedTime?: Timestamp;
+ LastModifiedBy?: UserContext;
+ /**
+ * The list of tags that are associated with the experiment. You can use Search API to search on the tags.
+ */
+ Tags?: TagList;
+ }
+ export type ExperimentArn = string;
+ export interface ExperimentConfig {
+ /**
+ * The name of the experiment.
+ */
+ ExperimentName?: ExperimentConfigName;
+ /**
+ * The name of the trial.
+ */
+ TrialName?: ExperimentConfigName;
+ /**
+ * Display name for the trial component.
+ */
+ TrialComponentDisplayName?: ExperimentConfigName;
+ }
+ export type ExperimentConfigName = string;
+ export type ExperimentDescription = string;
+ export type ExperimentEntityName = string;
+ export interface ExperimentSource {
+ /**
+ * The Amazon Resource Name (ARN) of the source.
+ */
+ SourceArn: ExperimentSourceArn;
+ /**
+ * The source type.
+ */
+ SourceType?: SourceType;
+ }
+ export type ExperimentSourceArn = string;
+ export type ExperimentSummaries = ExperimentSummary[];
+ export interface ExperimentSummary {
+ /**
+ * The Amazon Resource Name (ARN) of the experiment.
+ */
+ ExperimentArn?: ExperimentArn;
+ /**
+ * The name of the experiment.
+ */
+ ExperimentName?: ExperimentEntityName;
+ /**
+ * The name of the experiment as displayed. If DisplayName isn't specified, ExperimentName is displayed.
+ */
+ DisplayName?: ExperimentEntityName;
+ ExperimentSource?: ExperimentSource;
+ /**
+ * When the experiment was created.
+ */
+ CreationTime?: Timestamp;
+ /**
+ * When the experiment was last modified.
+ */
+ LastModifiedTime?: Timestamp;
+ }
export type FailureReason = string;
export type FileSystemAccessMode = "rw"|"ro"|string;
export interface FileSystemDataSource {
@@ -2542,6 +4747,20 @@ declare namespace SageMaker {
}
export type FilterList = Filter[];
export type FilterValue = string;
+ export interface FinalAutoMLJobObjectiveMetric {
+ /**
+ * The metric type used.
+ */
+ Type?: AutoMLJobObjectiveType;
+ /**
+ * The name of the metric.
+ */
+ MetricName: AutoMLMetricEnum;
+ /**
+ * The value of the metric.
+ */
+ Value: MetricValue;
+ }
export interface FinalHyperParameterTuningJobObjectiveMetric {
/**
* Whether to minimize or maximize the objective metric. Valid values are Minimize and Maximize.
@@ -2558,7 +4777,51 @@ declare namespace SageMaker {
}
export type FinalMetricDataList = MetricData[];
export type Float = number;
+ export type FlowDefinitionArn = string;
+ export type FlowDefinitionName = string;
+ export interface FlowDefinitionOutputConfig {
+ /**
+ * The Amazon S3 path where the object containing human output will be made available.
+ */
+ S3OutputPath: S3Uri;
+ /**
+ * The Amazon Key Management Service (KMS) key ID for server-side encryption.
+ */
+ KmsKeyId?: KmsKeyId;
+ }
+ export type FlowDefinitionStatus = "Initializing"|"Active"|"Failed"|"Deleting"|"Deleted"|string;
+ export type FlowDefinitionSummaries = FlowDefinitionSummary[];
+ export interface FlowDefinitionSummary {
+ /**
+ * The name of the flow definition.
+ */
+ FlowDefinitionName: FlowDefinitionName;
+ /**
+ * The Amazon Resource Name (ARN) of the flow definition.
+ */
+ FlowDefinitionArn: FlowDefinitionArn;
+ /**
+ * The status of the flow definition. Valid values:
+ */
+ FlowDefinitionStatus: FlowDefinitionStatus;
+ /**
+ * The timestamp when SageMaker created the flow definition.
+ */
+ CreationTime: Timestamp;
+ /**
+ * The reason why the flow definition creation failed. A failure reason is returned only when the flow definition status is Failed.
+ */
+ FailureReason?: FailureReason;
+ }
+ export type FlowDefinitionTaskAvailabilityLifetimeInSeconds = number;
+ export type FlowDefinitionTaskCount = number;
+ export type FlowDefinitionTaskDescription = string;
+ export type FlowDefinitionTaskKeyword = string;
+ export type FlowDefinitionTaskKeywords = FlowDefinitionTaskKeyword[];
+ export type FlowDefinitionTaskTimeLimitInSeconds = number;
+ export type FlowDefinitionTaskTitle = string;
export type Framework = "TENSORFLOW"|"MXNET"|"ONNX"|"PYTORCH"|"XGBOOST"|string;
+ export type GenerateCandidateDefinitionsOnly = boolean;
export interface GetSearchSuggestionsRequest {
/**
* The name of the Amazon SageMaker resource to Search for. The only valid Resource value is TrainingJob.
@@ -2596,6 +4859,65 @@ declare namespace SageMaker {
SecretArn?: SecretArn;
}
export type GitConfigUrl = string;
+ export type HookParameters = {[key: string]: ConfigValue};
+ export type HumanLoopActivationConditions = string;
+ export interface HumanLoopActivationConditionsConfig {
+ /**
+ * JSON expressing use-case specific conditions declaratively. If any condition is matched, atomic tasks are created against the configured work team. The set of conditions is different for Rekognition and Textract.
+ */
+ HumanLoopActivationConditions: HumanLoopActivationConditions;
+ }
+ export interface HumanLoopActivationConfig {
+ /**
+ * Container for configuring the source of human task requests.
+ */
+ HumanLoopRequestSource: HumanLoopRequestSource;
+ /**
+ * Container structure for defining under what conditions SageMaker creates a human loop.
+ */
+ HumanLoopActivationConditionsConfig: HumanLoopActivationConditionsConfig;
+ }
+ export interface HumanLoopConfig {
+ /**
+ * Amazon Resource Name (ARN) of a team of workers.
+ */
+ WorkteamArn: WorkteamArn;
+ /**
+ * The Amazon Resource Name (ARN) of the human task user interface.
+ */
+ HumanTaskUiArn: HumanTaskUiArn;
+ /**
+ * A title for the human worker task.
+ */
+ TaskTitle: FlowDefinitionTaskTitle;
+ /**
+ * A description for the human worker task.
+ */
+ TaskDescription: FlowDefinitionTaskDescription;
+ /**
+ * The number of human tasks.
+ */
+ TaskCount: FlowDefinitionTaskCount;
+ /**
+ * The length of time that a task remains available for labeling by human workers.
+ */
+ TaskAvailabilityLifetimeInSeconds?: FlowDefinitionTaskAvailabilityLifetimeInSeconds;
+ /**
+ * The amount of time that a worker has to complete a task.
+ */
+ TaskTimeLimitInSeconds?: FlowDefinitionTaskTimeLimitInSeconds;
+ /**
+ * Keywords used to describe the task so that workers can discover the task.
+ */
+ TaskKeywords?: FlowDefinitionTaskKeywords;
+ PublicWorkforceTaskPrice?: PublicWorkforceTaskPrice;
+ }
+ export interface HumanLoopRequestSource {
+ /**
+ * Specifies whether Amazon Rekognition or Amazon Textract are used as the integration source. The default field settings and JSON parsing rules are different based on the integration source. Valid values:
+ */
+ AwsManagedHumanLoopRequestSource: AwsManagedHumanLoopRequestSource;
+ }
export interface HumanTaskConfig {
/**
* The Amazon Resource Name (ARN) of the work team assigned to complete the tasks.
@@ -2606,7 +4928,7 @@ declare namespace SageMaker {
*/
UiConfig: UiConfig;
/**
- * The Amazon Resource Name (ARN) of a Lambda function that is run before a data object is sent to a human worker. Use this function to provide input to a custom labeling job. For the built-in bounding box, image classification, semantic segmentation, and text classification task types, Amazon SageMaker Ground Truth provides the following Lambda functions: US East (Northern Virginia) (us-east-1): arn:aws:lambda:us-east-1:432418664414:function:PRE-BoundingBox arn:aws:lambda:us-east-1:432418664414:function:PRE-ImageMultiClass arn:aws:lambda:us-east-1:432418664414:function:PRE-SemanticSegmentation arn:aws:lambda:us-east-1:432418664414:function:PRE-TextMultiClass arn:aws:lambda:us-east-1:432418664414:function:PRE-NamedEntityRecognition US East (Ohio) (us-east-2): arn:aws:lambda:us-east-2:266458841044:function:PRE-BoundingBox arn:aws:lambda:us-east-2:266458841044:function:PRE-ImageMultiClass arn:aws:lambda:us-east-2:266458841044:function:PRE-SemanticSegmentation arn:aws:lambda:us-east-2:266458841044:function:PRE-TextMultiClass arn:aws:lambda:us-east-2:266458841044:function:PRE-NamedEntityRecognition US West (Oregon) (us-west-2): arn:aws:lambda:us-west-2:081040173940:function:PRE-BoundingBox arn:aws:lambda:us-west-2:081040173940:function:PRE-ImageMultiClass arn:aws:lambda:us-west-2:081040173940:function:PRE-SemanticSegmentation arn:aws:lambda:us-west-2:081040173940:function:PRE-TextMultiClass arn:aws:lambda:us-west-2:081040173940:function:PRE-NamedEntityRecognition Canada (Central) (ca-central-1): arn:awslambda:ca-central-1:918755190332:function:PRE-BoundingBox arn:awslambda:ca-central-1:918755190332:function:PRE-ImageMultiClass arn:awslambda:ca-central-1:918755190332:function:PRE-SemanticSegmentation arn:awslambda:ca-central-1:918755190332:function:PRE-TextMultiClass arn:awslambda:ca-central-1:918755190332:function:PRE-NamedEntityRecognition EU (Ireland) (eu-west-1): arn:aws:lambda:eu-west-1:568282634449:function:PRE-BoundingBox arn:aws:lambda:eu-west-1:568282634449:function:PRE-ImageMultiClass arn:aws:lambda:eu-west-1:568282634449:function:PRE-SemanticSegmentation arn:aws:lambda:eu-west-1:568282634449:function:PRE-TextMultiClass arn:aws:lambda:eu-west-1:568282634449:function:PRE-NamedEntityRecognition EU (London) (eu-west-2): arn:awslambda:eu-west-2:487402164563:function:PRE-BoundingBox arn:awslambda:eu-west-2:487402164563:function:PRE-ImageMultiClass arn:awslambda:eu-west-2:487402164563:function:PRE-SemanticSegmentation arn:awslambda:eu-west-2:487402164563:function:PRE-TextMultiClass arn:awslambda:eu-west-2:487402164563:function:PRE-NamedEntityRecognition EU Frankfurt (eu-central-1): arn:awslambda:eu-central-1:203001061592:function:PRE-BoundingBox arn:awslambda:eu-central-1:203001061592:function:PRE-ImageMultiClass arn:awslambda:eu-central-1:203001061592:function:PRE-SemanticSegmentation arn:awslambda:eu-central-1:203001061592:function:PRE-TextMultiClass arn:awslambda:eu-central-1:203001061592:function:PRE-NamedEntityRecognition Asia Pacific (Tokyo) (ap-northeast-1): arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-BoundingBox arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-ImageMultiClass arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-SemanticSegmentation arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-TextMultiClass arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-NamedEntityRecognition Asia Pacific (Seoul) (ap-northeast-2): arn:awslambda:ap-northeast-2:845288260483:function:PRE-BoundingBox arn:awslambda:ap-northeast-2:845288260483:function:PRE-ImageMultiClass arn:awslambda:ap-northeast-2:845288260483:function:PRE-SemanticSegmentation arn:awslambda:ap-northeast-2:845288260483:function:PRE-TextMultiClass arn:awslambda:ap-northeast-2:845288260483:function:PRE-NamedEntityRecognition Asia Pacific (Mumbai) (ap-south-1): arn:awslambda:ap-south-1:565803892007:function:PRE-BoundingBox arn:awslambda:ap-south-1:565803892007:function:PRE-ImageMultiClass arn:awslambda:ap-south-1:565803892007:function:PRE-SemanticSegmentation arn:awslambda:ap-south-1:565803892007:function:PRE-TextMultiClass arn:awslambda:ap-south-1:565803892007:function:PRE-NamedEntityRecognition Asia Pacific (Singapore) (ap-southeast-1): arn:awslambda:ap-southeast-1:377565633583:function:PRE-BoundingBox arn:awslambda:ap-southeast-1:377565633583:function:PRE-ImageMultiClass arn:awslambda:ap-southeast-1:377565633583:function:PRE-SemanticSegmentation arn:awslambda:ap-southeast-1:377565633583:function:PRE-TextMultiClass arn:awslambda:ap-southeast-1:377565633583:function:PRE-NamedEntityRecognition Asia Pacific (Sydney) (ap-southeast-2): arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-BoundingBox arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-ImageMultiClass arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-SemanticSegmentation arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-TextMultiClass arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-NamedEntityRecognition
+ * The Amazon Resource Name (ARN) of a Lambda function that is run before a data object is sent to a human worker. Use this function to provide input to a custom labeling job. For the built-in bounding box, image classification, semantic segmentation, and text classification task types, Amazon SageMaker Ground Truth provides the following Lambda functions: US East (Northern Virginia) (us-east-1): arn:aws:lambda:us-east-1:432418664414:function:PRE-BoundingBox arn:aws:lambda:us-east-1:432418664414:function:PRE-ImageMultiClass arn:aws:lambda:us-east-1:432418664414:function:PRE-SemanticSegmentation arn:aws:lambda:us-east-1:432418664414:function:PRE-TextMultiClass arn:aws:lambda:us-east-1:432418664414:function:PRE-NamedEntityRecognition arn:aws:lambda:us-east-1:432418664414:function:PRE-VerificationBoundingBox arn:aws:lambda:us-east-1:432418664414:function:PRE-VerificationSemanticSegmentation arn:aws:lambda:us-east-1:432418664414:function:PRE-AdjustmentBoundingBox arn:aws:lambda:us-east-1:432418664414:function:PRE-AdjustmentSemanticSegmentation US East (Ohio) (us-east-2): arn:aws:lambda:us-east-2:266458841044:function:PRE-BoundingBox arn:aws:lambda:us-east-2:266458841044:function:PRE-ImageMultiClass arn:aws:lambda:us-east-2:266458841044:function:PRE-SemanticSegmentation arn:aws:lambda:us-east-2:266458841044:function:PRE-TextMultiClass arn:aws:lambda:us-east-2:266458841044:function:PRE-NamedEntityRecognition arn:aws:lambda:us-east-2:266458841044:function:PRE-VerificationBoundingBox arn:aws:lambda:us-east-2:266458841044:function:PRE-VerificationSemanticSegmentation arn:aws:lambda:us-east-2:266458841044:function:PRE-AdjustmentBoundingBox arn:aws:lambda:us-east-2:266458841044:function:PRE-AdjustmentSemanticSegmentation US West (Oregon) (us-west-2): arn:aws:lambda:us-west-2:081040173940:function:PRE-BoundingBox arn:aws:lambda:us-west-2:081040173940:function:PRE-ImageMultiClass arn:aws:lambda:us-west-2:081040173940:function:PRE-SemanticSegmentation arn:aws:lambda:us-west-2:081040173940:function:PRE-TextMultiClass arn:aws:lambda:us-west-2:081040173940:function:PRE-NamedEntityRecognition arn:aws:lambda:us-west-2:081040173940:function:PRE-VerificationBoundingBox arn:aws:lambda:us-west-2:081040173940:function:PRE-VerificationSemanticSegmentation arn:aws:lambda:us-west-2:081040173940:function:PRE-AdjustmentBoundingBox arn:aws:lambda:us-west-2:081040173940:function:PRE-AdjustmentSemanticSegmentation Canada (Central) (ca-central-1): arn:aws:lambda:ca-central-1:918755190332:function:PRE-BoundingBox arn:aws:lambda:ca-central-1:918755190332:function:PRE-ImageMultiClass arn:aws:lambda:ca-central-1:918755190332:function:PRE-SemanticSegmentation arn:aws:lambda:ca-central-1:918755190332:function:PRE-TextMultiClass arn:aws:lambda:ca-central-1:918755190332:function:PRE-NamedEntityRecognition arn:aws:lambda:ca-central-1:918755190332:function:PRE-VerificationBoundingBox arn:aws:lambda:ca-central-1:918755190332:function:PRE-VerificationSemanticSegmentation arn:aws:lambda:ca-central-1:918755190332:function:PRE-AdjustmentBoundingBox arn:aws:lambda:ca-central-1:918755190332:function:PRE-AdjustmentSemanticSegmentation EU (Ireland) (eu-west-1): arn:aws:lambda:eu-west-1:568282634449:function:PRE-BoundingBox arn:aws:lambda:eu-west-1:568282634449:function:PRE-ImageMultiClass arn:aws:lambda:eu-west-1:568282634449:function:PRE-SemanticSegmentation arn:aws:lambda:eu-west-1:568282634449:function:PRE-TextMultiClass arn:aws:lambda:eu-west-1:568282634449:function:PRE-NamedEntityRecognition arn:aws:lambda:eu-west-1:568282634449:function:PRE-VerificationBoundingBox arn:aws:lambda:eu-west-1:568282634449:function:PRE-VerificationSemanticSegmentation arn:aws:lambda:eu-west-1:568282634449:function:PRE-AdjustmentBoundingBox arn:aws:lambda:eu-west-1:568282634449:function:PRE-AdjustmentSemanticSegmentation EU (London) (eu-west-2): arn:aws:lambda:eu-west-2:487402164563:function:PRE-BoundingBox arn:aws:lambda:eu-west-2:487402164563:function:PRE-ImageMultiClass arn:aws:lambda:eu-west-2:487402164563:function:PRE-SemanticSegmentation arn:aws:lambda:eu-west-2:487402164563:function:PRE-TextMultiClass arn:aws:lambda:eu-west-2:487402164563:function:PRE-NamedEntityRecognition arn:aws:lambda:eu-west-2:487402164563:function:PRE-VerificationBoundingBox arn:aws:lambda:eu-west-2:487402164563:function:PRE-VerificationSemanticSegmentation arn:aws:lambda:eu-west-2:487402164563:function:PRE-AdjustmentBoundingBox arn:aws:lambda:eu-west-2:487402164563:function:PRE-AdjustmentSemanticSegmentation EU Frankfurt (eu-central-1): arn:aws:lambda:eu-central-1:203001061592:function:PRE-BoundingBox arn:aws:lambda:eu-central-1:203001061592:function:PRE-ImageMultiClass arn:aws:lambda:eu-central-1:203001061592:function:PRE-SemanticSegmentation arn:aws:lambda:eu-central-1:203001061592:function:PRE-TextMultiClass arn:aws:lambda:eu-central-1:203001061592:function:PRE-NamedEntityRecognition arn:aws:lambda:eu-central-1:203001061592:function:PRE-VerificationBoundingBox arn:aws:lambda:eu-central-1:203001061592:function:PRE-VerificationSemanticSegmentation arn:aws:lambda:eu-central-1:203001061592:function:PRE-AdjustmentBoundingBox arn:aws:lambda:eu-central-1:203001061592:function:PRE-AdjustmentSemanticSegmentation Asia Pacific (Tokyo) (ap-northeast-1): arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-BoundingBox arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-ImageMultiClass arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-SemanticSegmentation arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-TextMultiClass arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-NamedEntityRecognition arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-VerificationBoundingBox arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-VerificationSemanticSegmentation arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-AdjustmentBoundingBox arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-AdjustmentSemanticSegmentation Asia Pacific (Seoul) (ap-northeast-2): arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-BoundingBox arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-ImageMultiClass arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-SemanticSegmentation arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-TextMultiClass arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-NamedEntityRecognition arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-VerificationBoundingBox arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-VerificationSemanticSegmentation arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-AdjustmentBoundingBox arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-AdjustmentSemanticSegmentation Asia Pacific (Mumbai) (ap-south-1): arn:aws:lambda:ap-south-1:565803892007:function:PRE-BoundingBox arn:aws:lambda:ap-south-1:565803892007:function:PRE-ImageMultiClass arn:aws:lambda:ap-south-1:565803892007:function:PRE-SemanticSegmentation arn:aws:lambda:ap-south-1:565803892007:function:PRE-TextMultiClass arn:aws:lambda:ap-south-1:565803892007:function:PRE-NamedEntityRecognition arn:aws:lambda:ap-south-1:565803892007:function:PRE-VerificationBoundingBox arn:aws:lambda:ap-south-1:565803892007:function:PRE-VerificationSemanticSegmentation arn:aws:lambda:ap-south-1:565803892007:function:PRE-AdjustmentBoundingBox arn:aws:lambda:ap-south-1:565803892007:function:PRE-AdjustmentSemanticSegmentation Asia Pacific (Singapore) (ap-southeast-1): arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-BoundingBox arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-ImageMultiClass arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-SemanticSegmentation arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-TextMultiClass arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-NamedEntityRecognition arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-VerificationBoundingBox arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-VerificationSemanticSegmentation arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-AdjustmentBoundingBox arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-AdjustmentSemanticSegmentation Asia Pacific (Sydney) (ap-southeast-2): arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-BoundingBox arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-ImageMultiClass arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-SemanticSegmentation arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-TextMultiClass arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-NamedEntityRecognition arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-VerificationBoundingBox arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-VerificationSemanticSegmentation arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-AdjustmentBoundingBox arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-AdjustmentSemanticSegmentation
*/
PreHumanTaskLambdaArn: LambdaFunctionArn;
/**
@@ -2634,7 +4956,7 @@ declare namespace SageMaker {
*/
TaskAvailabilityLifetimeInSeconds?: TaskAvailabilityLifetimeInSeconds;
/**
- * Defines the maximum number of data objects that can be labeled by human workers at the same time. Each object may have more than one worker at one time.
+ * Defines the maximum number of data objects that can be labeled by human workers at the same time. Also referred to as batch size. Each object may have more than one worker at one time.
*/
MaxConcurrentTaskCount?: MaxConcurrentTaskCount;
/**
@@ -2646,6 +4968,23 @@ declare namespace SageMaker {
*/
PublicWorkforceTaskPrice?: PublicWorkforceTaskPrice;
}
+ export type HumanTaskUiArn = string;
+ export type HumanTaskUiName = string;
+ export type HumanTaskUiSummaries = HumanTaskUiSummary[];
+ export interface HumanTaskUiSummary {
+ /**
+ * The name of the human task user interface.
+ */
+ HumanTaskUiName: HumanTaskUiName;
+ /**
+ * The Amazon Resource Name (ARN) of the human task user interface.
+ */
+ HumanTaskUiArn: HumanTaskUiArn;
+ /**
+ * A timestamp when SageMaker created the human task user interface.
+ */
+ CreationTime: Timestamp;
+ }
export interface HyperParameterAlgorithmSpecification {
/**
* The registry path of the Docker image that contains the training algorithm. For information about Docker registry paths for built-in algorithms, see Algorithms Provided by Amazon SageMaker: Common Parameters. Amazon SageMaker supports both registry/repository[:tag] and registry/repository[@digest] image path formats. For more information, see Using Your Own Algorithms with Amazon SageMaker.
@@ -2697,6 +5036,12 @@ declare namespace SageMaker {
}
export type HyperParameterSpecifications = HyperParameterSpecification[];
export interface HyperParameterTrainingJobDefinition {
+ /**
+ * The job definition name.
+ */
+ DefinitionName?: HyperParameterTrainingJobDefinitionName;
+ TuningObjective?: HyperParameterTuningJobObjective;
+ HyperParameterRanges?: ParameterRanges;
/**
* Specifies the values of hyperparameters that do not change for the tuning job.
*/
@@ -2743,8 +5088,14 @@ declare namespace SageMaker {
EnableManagedSpotTraining?: Boolean;
CheckpointConfig?: CheckpointConfig;
}
+ export type HyperParameterTrainingJobDefinitionName = string;
+ export type HyperParameterTrainingJobDefinitions = HyperParameterTrainingJobDefinition[];
export type HyperParameterTrainingJobSummaries = HyperParameterTrainingJobSummary[];
export interface HyperParameterTrainingJobSummary {
+ /**
+ * The training job definition name.
+ */
+ TrainingJobDefinitionName?: HyperParameterTrainingJobDefinitionName;
/**
* The name of the training job.
*/
@@ -2793,7 +5144,7 @@ declare namespace SageMaker {
export type HyperParameterTuningJobArn = string;
export interface HyperParameterTuningJobConfig {
/**
- * Specifies how hyperparameter tuning chooses the combinations of hyperparameter values to use for the training job it launches. To use the Bayesian search stategy, set this to Bayesian. To randomly search, set it to Random. For information about search strategies, see How Hyperparameter Tuning Works.
+ * Specifies how hyperparameter tuning chooses the combinations of hyperparameter values to use for the training job it launches. To use the Bayesian search strategy, set this to Bayesian. To randomly search, set it to Random. For information about search strategies, see How Hyperparameter Tuning Works.
*/
Strategy: HyperParameterTuningJobStrategyType;
/**
@@ -2812,6 +5163,10 @@ declare namespace SageMaker {
* Specifies whether to use early stopping for training jobs launched by the hyperparameter tuning job. This can be one of the following values (the default value is OFF): OFF Training jobs launched by the hyperparameter tuning job do not use early stopping. AUTO Amazon SageMaker stops training jobs launched by the hyperparameter tuning job when they are unlikely to perform better than previously completed training jobs. For more information, see Stop Training Jobs Early.
*/
TrainingJobEarlyStoppingType?: TrainingJobEarlyStoppingType;
+ /**
+ * The tuning job's completion criteria.
+ */
+ TuningJobCompletionCriteria?: TuningJobCompletionCriteria;
}
export type HyperParameterTuningJobName = string;
export interface HyperParameterTuningJobObjective {
@@ -2886,6 +5241,7 @@ declare namespace SageMaker {
export type HyperParameters = {[key: string]: ParameterValue};
export type Image = string;
export type ImageDigest = string;
+ export type ImageUri = string;
export interface InferenceSpecification {
/**
* The Amazon ECR registry path of the Docker image that contains the inference code.
@@ -2957,7 +5313,21 @@ declare namespace SageMaker {
export type JobReferenceCode = string;
export type JobReferenceCodeContains = string;
export type JoinSource = "Input"|"None"|string;
+ export type JsonContentType = string;
+ export type JsonContentTypes = JsonContentType[];
export type JsonPath = string;
+ export interface JupyterServerAppSettings {
+ /**
+ * The instance type and quantity.
+ */
+ DefaultResourceSpec?: ResourceSpec;
+ }
+ export interface KernelGatewayAppSettings {
+ /**
+ * The instance type and quantity.
+ */
+ DefaultResourceSpec?: ResourceSpec;
+ }
export type KmsKeyId = string;
export type LabelAttributeName = string;
export type LabelCounter = number;
@@ -3199,6 +5569,134 @@ declare namespace SageMaker {
*/
NextToken?: NextToken;
}
+ export interface ListAppsRequest {
+ /**
+ * If the previous response was truncated, you will receive this token. Use it in your next request to receive the next set of results.
+ */
+ NextToken?: NextToken;
+ /**
+ * Returns a list up to a specified limit.
+ */
+ MaxResults?: MaxResults;
+ /**
+ * The sort order for the results. The default is Ascending.
+ */
+ SortOrder?: SortOrder;
+ /**
+ * The parameter by which to sort the results. The default is CreationTime.
+ */
+ SortBy?: AppSortKey;
+ /**
+ * A parameter to search for the domain ID.
+ */
+ DomainIdEquals?: DomainId;
+ /**
+ * A parameter to search by user profile name.
+ */
+ UserProfileNameEquals?: UserProfileName;
+ }
+ export interface ListAppsResponse {
+ /**
+ * The list of apps.
+ */
+ Apps?: AppList;
+ /**
+ * If the previous response was truncated, you will receive this token. Use it in your next request to receive the next set of results.
+ */
+ NextToken?: NextToken;
+ }
+ export interface ListAutoMLJobsRequest {
+ /**
+ * Request a list of jobs, using a filter for time.
+ */
+ CreationTimeAfter?: Timestamp;
+ /**
+ * Request a list of jobs, using a filter for time.
+ */
+ CreationTimeBefore?: Timestamp;
+ /**
+ * Request a list of jobs, using a filter for time.
+ */
+ LastModifiedTimeAfter?: Timestamp;
+ /**
+ * Request a list of jobs, using a filter for time.
+ */
+ LastModifiedTimeBefore?: Timestamp;
+ /**
+ * Request a list of jobs, using a search filter for name.
+ */
+ NameContains?: AutoMLNameContains;
+ /**
+ * Request a list of jobs, using a filter for status.
+ */
+ StatusEquals?: AutoMLJobStatus;
+ /**
+ * The sort order for the results. The default is Descending.
+ */
+ SortOrder?: AutoMLSortOrder;
+ /**
+ * The parameter by which to sort the results. The default is AutoMLJobName.
+ */
+ SortBy?: AutoMLSortBy;
+ /**
+ * Request a list of jobs up to a specified limit.
+ */
+ MaxResults?: AutoMLMaxResults;
+ /**
+ * If the previous response was truncated, you will receive this token. Use it in your next request to receive the next set of results.
+ */
+ NextToken?: NextToken;
+ }
+ export interface ListAutoMLJobsResponse {
+ /**
+ * Returns a summary list of jobs.
+ */
+ AutoMLJobSummaries: AutoMLJobSummaries;
+ /**
+ * If the previous response was truncated, you will receive this token. Use it in your next request to receive the next set of results.
+ */
+ NextToken?: NextToken;
+ }
+ export interface ListCandidatesForAutoMLJobRequest {
+ /**
+ * List the Candidates created for the job by providing the job's name.
+ */
+ AutoMLJobName: AutoMLJobName;
+ /**
+ * List the Candidates for the job and filter by status.
+ */
+ StatusEquals?: CandidateStatus;
+ /**
+ * List the Candidates for the job and filter by candidate name.
+ */
+ CandidateNameEquals?: CandidateName;
+ /**
+ * The sort order for the results. The default is Ascending.
+ */
+ SortOrder?: AutoMLSortOrder;
+ /**
+ * The parameter by which to sort the results. The default is Descending.
+ */
+ SortBy?: CandidateSortBy;
+ /**
+ * List the job's Candidates up to a specified limit.
+ */
+ MaxResults?: AutoMLMaxResults;
+ /**
+ * If the previous response was truncated, you will receive this token. Use it in your next request to receive the next set of results.
+ */
+ NextToken?: NextToken;
+ }
+ export interface ListCandidatesForAutoMLJobResponse {
+ /**
+ * Summaries about the Candidates.
+ */
+ Candidates: AutoMLCandidates;
+ /**
+ * If the previous response was truncated, you will receive this token. Use it in your next request to receive the next set of results.
+ */
+ NextToken?: NextToken;
+ }
export interface ListCodeRepositoriesInput {
/**
* A filter that returns only Git repositories that were created after the specified time.
@@ -3300,6 +5798,26 @@ declare namespace SageMaker {
NextToken?: NextToken;
}
export type ListCompilationJobsSortBy = "Name"|"CreationTime"|"Status"|string;
+ export interface ListDomainsRequest {
+ /**
+ * If the previous response was truncated, you will receive this token. Use it in your next request to receive the next set of results.
+ */
+ NextToken?: NextToken;
+ /**
+ * Returns a list up to a specified limit.
+ */
+ MaxResults?: MaxResults;
+ }
+ export interface ListDomainsResponse {
+ /**
+ * The list of domains.
+ */
+ Domains?: DomainList;
+ /**
+ * If the previous response was truncated, you will receive this token. Use it in your next request to receive the next set of results.
+ */
+ NextToken?: NextToken;
+ }
export interface ListEndpointConfigsInput {
/**
* The field to sort results by. The default is CreationTime.
@@ -3392,6 +5910,106 @@ declare namespace SageMaker {
*/
NextToken?: PaginationToken;
}
+ export interface ListExperimentsRequest {
+ /**
+ * A filter that returns only experiments created after the specified time.
+ */
+ CreatedAfter?: Timestamp;
+ /**
+ * A filter that returns only experiments created before the specified time.
+ */
+ CreatedBefore?: Timestamp;
+ /**
+ * The property used to sort results. The default value is CreationTime.
+ */
+ SortBy?: SortExperimentsBy;
+ /**
+ * The sort order. The default value is Descending.
+ */
+ SortOrder?: SortOrder;
+ /**
+ * If the previous call to ListExperiments didn't return the full set of experiments, the call returns a token for getting the next set of experiments.
+ */
+ NextToken?: NextToken;
+ /**
+ * The maximum number of experiments to return in the response.
+ */
+ MaxResults?: MaxResults;
+ }
+ export interface ListExperimentsResponse {
+ /**
+ * A list of the summaries of your experiments.
+ */
+ ExperimentSummaries?: ExperimentSummaries;
+ /**
+ * A token for getting the next set of experiments, if there are any.
+ */
+ NextToken?: NextToken;
+ }
+ export interface ListFlowDefinitionsRequest {
+ /**
+ * A filter that returns only flow definitions with a creation time greater than or equal to the specified timestamp.
+ */
+ CreationTimeAfter?: Timestamp;
+ /**
+ * A filter that returns only flow definitions that were created before the specified timestamp.
+ */
+ CreationTimeBefore?: Timestamp;
+ /**
+ * An optional value that specifies whether you want the results sorted in Ascending or Descending order.
+ */
+ SortOrder?: SortOrder;
+ /**
+ * A token to resume pagination.
+ */
+ NextToken?: NextToken;
+ /**
+ * The total number of items to return. If the total number of available items is more than the value specified in MaxResults, then a NextToken will be provided in the output that you can use to resume pagination.
+ */
+ MaxResults?: MaxResults;
+ }
+ export interface ListFlowDefinitionsResponse {
+ /**
+ * An array of objects describing the flow definitions.
+ */
+ FlowDefinitionSummaries: FlowDefinitionSummaries;
+ /**
+ * A token to resume pagination.
+ */
+ NextToken?: NextToken;
+ }
+ export interface ListHumanTaskUisRequest {
+ /**
+ * A filter that returns only human task user interfaces with a creation time greater than or equal to the specified timestamp.
+ */
+ CreationTimeAfter?: Timestamp;
+ /**
+ * A filter that returns only human task user interfaces that were created before the specified timestamp.
+ */
+ CreationTimeBefore?: Timestamp;
+ /**
+ * An optional value that specifies whether you want the results sorted in Ascending or Descending order.
+ */
+ SortOrder?: SortOrder;
+ /**
+ * A token to resume pagination.
+ */
+ NextToken?: NextToken;
+ /**
+ * The total number of items to return. If the total number of available items is more than the value specified in MaxResults, then a NextToken will be provided in the output that you can use to resume pagination.
+ */
+ MaxResults?: MaxResults;
+ }
+ export interface ListHumanTaskUisResponse {
+ /**
+ * An array of objects describing the human task user interfaces.
+ */
+ HumanTaskUiSummaries: HumanTaskUiSummaries;
+ /**
+ * A token to resume pagination.
+ */
+ NextToken?: NextToken;
+ }
export interface ListHyperParameterTuningJobsRequest {
/**
* If the result of the previous ListHyperParameterTuningJobs request was truncated, the response includes a NextToken. To retrieve the next set of tuning jobs, use the token in the next request.
@@ -3621,6 +6239,126 @@ declare namespace SageMaker {
*/
NextToken?: PaginationToken;
}
+ export interface ListMonitoringExecutionsRequest {
+ /**
+ * Name of a specific schedule to fetch jobs for.
+ */
+ MonitoringScheduleName?: MonitoringScheduleName;
+ /**
+ * Name of a specific endpoint to fetch jobs for.
+ */
+ EndpointName?: EndpointName;
+ /**
+ * Whether to sort results by Status, CreationTime, ScheduledTime field. The default is CreationTime.
+ */
+ SortBy?: MonitoringExecutionSortKey;
+ /**
+ * Whether to sort the results in Ascending or Descending order. The default is Descending.
+ */
+ SortOrder?: SortOrder;
+ /**
+ * The token returned if the response is truncated. To retrieve the next set of job executions, use it in the next request.
+ */
+ NextToken?: NextToken;
+ /**
+ * The maximum number of jobs to return in the response. The default value is 10.
+ */
+ MaxResults?: MaxResults;
+ /**
+ * Filter for jobs scheduled before a specified time.
+ */
+ ScheduledTimeBefore?: Timestamp;
+ /**
+ * Filter for jobs scheduled after a specified time.
+ */
+ ScheduledTimeAfter?: Timestamp;
+ /**
+ * A filter that returns only jobs created before a specified time.
+ */
+ CreationTimeBefore?: Timestamp;
+ /**
+ * A filter that returns only jobs created after a specified time.
+ */
+ CreationTimeAfter?: Timestamp;
+ /**
+ * A filter that returns only jobs modified after a specified time.
+ */
+ LastModifiedTimeBefore?: Timestamp;
+ /**
+ * A filter that returns only jobs modified before a specified time.
+ */
+ LastModifiedTimeAfter?: Timestamp;
+ /**
+ * A filter that retrieves only jobs with a specific status.
+ */
+ StatusEquals?: ExecutionStatus;
+ }
+ export interface ListMonitoringExecutionsResponse {
+ /**
+ * A JSON array in which each element is a summary for a monitoring execution.
+ */
+ MonitoringExecutionSummaries: MonitoringExecutionSummaryList;
+ /**
+ * If the response is truncated, Amazon SageMaker returns this token. To retrieve the next set of jobs, use it in the subsequent reques
+ */
+ NextToken?: NextToken;
+ }
+ export interface ListMonitoringSchedulesRequest {
+ /**
+ * Name of a specific endpoint to fetch schedules for.
+ */
+ EndpointName?: EndpointName;
+ /**
+ * Whether to sort results by Status, CreationTime, ScheduledTime field. The default is CreationTime.
+ */
+ SortBy?: MonitoringScheduleSortKey;
+ /**
+ * Whether to sort the results in Ascending or Descending order. The default is Descending.
+ */
+ SortOrder?: SortOrder;
+ /**
+ * The token returned if the response is truncated. To retrieve the next set of job executions, use it in the next request.
+ */
+ NextToken?: NextToken;
+ /**
+ * The maximum number of jobs to return in the response. The default value is 10.
+ */
+ MaxResults?: MaxResults;
+ /**
+ * Filter for monitoring schedules whose name contains a specified string.
+ */
+ NameContains?: NameContains;
+ /**
+ * A filter that returns only monitoring schedules created before a specified time.
+ */
+ CreationTimeBefore?: Timestamp;
+ /**
+ * A filter that returns only monitoring schedules created after a specified time.
+ */
+ CreationTimeAfter?: Timestamp;
+ /**
+ * A filter that returns only monitoring schedules modified before a specified time.
+ */
+ LastModifiedTimeBefore?: Timestamp;
+ /**
+ * A filter that returns only monitoring schedules modified after a specified time.
+ */
+ LastModifiedTimeAfter?: Timestamp;
+ /**
+ * A filter that returns only monitoring schedules modified before a specified time.
+ */
+ StatusEquals?: ScheduleStatus;
+ }
+ export interface ListMonitoringSchedulesResponse {
+ /**
+ * A JSON array in which each element is a summary for a monitoring schedule.
+ */
+ MonitoringScheduleSummaries: MonitoringScheduleSummaryList;
+ /**
+ * If the response is truncated, Amazon SageMaker returns this token. To retrieve the next set of jobs, use it in the subsequent reques
+ */
+ NextToken?: NextToken;
+ }
export interface ListNotebookInstanceLifecycleConfigsInput {
/**
* If the result of a ListNotebookInstanceLifecycleConfigs request was truncated, the response includes a NextToken. To get the next set of lifecycle configurations, use the token in the next request.
@@ -3733,6 +6471,58 @@ declare namespace SageMaker {
*/
NotebookInstances?: NotebookInstanceSummaryList;
}
+ export interface ListProcessingJobsRequest {
+ /**
+ * A filter that returns only processing jobs created after the specified time.
+ */
+ CreationTimeAfter?: Timestamp;
+ /**
+ * A filter that returns only processing jobs created after the specified time.
+ */
+ CreationTimeBefore?: Timestamp;
+ /**
+ * A filter that returns only processing jobs modified after the specified time.
+ */
+ LastModifiedTimeAfter?: Timestamp;
+ /**
+ * A filter that returns only processing jobs modified before the specified time.
+ */
+ LastModifiedTimeBefore?: Timestamp;
+ /**
+ * A string in the processing job name. This filter returns only processing jobs whose name contains the specified string.
+ */
+ NameContains?: String;
+ /**
+ * A filter that retrieves only processing jobs with a specific status.
+ */
+ StatusEquals?: ProcessingJobStatus;
+ /**
+ * The field to sort results by. The default is CreationTime.
+ */
+ SortBy?: SortBy;
+ /**
+ * The sort order for results. The default is Ascending.
+ */
+ SortOrder?: SortOrder;
+ /**
+ * If the result of the previous ListProcessingJobs request was truncated, the response includes a NextToken. To retrieve the next set of processing jobs, use the token in the next request.
+ */
+ NextToken?: NextToken;
+ /**
+ * The maximum number of processing jobs to return in the response.
+ */
+ MaxResults?: MaxResults;
+ }
+ export interface ListProcessingJobsResponse {
+ /**
+ * An array of ProcessingJobSummary objects, each listing a processing job.
+ */
+ ProcessingJobSummaries: ProcessingJobSummaries;
+ /**
+ * If the response is truncated, Amazon SageMaker returns this token. To retrieve the next set of processing jobs, use it in the subsequent request.
+ */
+ NextToken?: NextToken;
+ }
export interface ListSubscribedWorkteamsRequest {
/**
* A string in the work team name. This filter returns only work teams whose name contains the specified string.
@@ -3912,13 +6702,130 @@ declare namespace SageMaker {
*/
MaxResults?: MaxResults;
}
- export interface ListTransformJobsResponse {
+ export interface ListTransformJobsResponse {
+ /**
+ * An array of TransformJobSummary objects.
+ */
+ TransformJobSummaries: TransformJobSummaries;
+ /**
+ * If the response is truncated, Amazon SageMaker returns this token. To retrieve the next set of transform jobs, use it in the next request.
+ */
+ NextToken?: NextToken;
+ }
+ export type ListTrialComponentKey256 = TrialComponentKey256[];
+ export interface ListTrialComponentsRequest {
+ /**
+ * A filter that returns only components that have the specified source Amazon Resource Name (ARN).
+ */
+ SourceArn?: String256;
+ /**
+ * A filter that returns only components created after the specified time.
+ */
+ CreatedAfter?: Timestamp;
+ /**
+ * A filter that returns only components created before the specified time.
+ */
+ CreatedBefore?: Timestamp;
+ /**
+ * The property used to sort results. The default value is CreationTime.
+ */
+ SortBy?: SortTrialComponentsBy;
+ /**
+ * The sort order. The default value is Descending.
+ */
+ SortOrder?: SortOrder;
+ /**
+ * The maximum number of components to return in the response.
+ */
+ MaxResults?: MaxResults;
+ /**
+ * If the previous call to ListTrialComponents didn't return the full set of components, the call returns a token for getting the next set of components.
+ */
+ NextToken?: NextToken;
+ }
+ export interface ListTrialComponentsResponse {
+ /**
+ * A list of the summaries of your trial components.
+ */
+ TrialComponentSummaries?: TrialComponentSummaries;
+ /**
+ * A token for getting the next set of components, if there are any.
+ */
+ NextToken?: NextToken;
+ }
+ export interface ListTrialsRequest {
+ /**
+ * A filter that returns only trials that are part of the specified experiment.
+ */
+ ExperimentName?: ExperimentEntityName;
+ /**
+ * A filter that returns only trials created after the specified time.
+ */
+ CreatedAfter?: Timestamp;
+ /**
+ * A filter that returns only trials created before the specified time.
+ */
+ CreatedBefore?: Timestamp;
+ /**
+ * The property used to sort results. The default value is CreationTime.
+ */
+ SortBy?: SortTrialsBy;
+ /**
+ * The sort order. The default value is Descending.
+ */
+ SortOrder?: SortOrder;
+ /**
+ * The maximum number of trials to return in the response.
+ */
+ MaxResults?: MaxResults;
+ /**
+ * If the previous call to ListTrials didn't return the full set of trials, the call returns a token for getting the next set of trials.
+ */
+ NextToken?: NextToken;
+ }
+ export interface ListTrialsResponse {
+ /**
+ * A list of the summaries of your trials.
+ */
+ TrialSummaries?: TrialSummaries;
+ /**
+ * A token for getting the next set of trials, if there are any.
+ */
+ NextToken?: NextToken;
+ }
+ export interface ListUserProfilesRequest {
+ /**
+ * If the previous response was truncated, you will receive this token. Use it in your next request to receive the next set of results.
+ */
+ NextToken?: NextToken;
+ /**
+ * Returns a list up to a specified limit.
+ */
+ MaxResults?: MaxResults;
+ /**
+ * The sort order for the results. The default is Ascending.
+ */
+ SortOrder?: SortOrder;
+ /**
+ * The parameter by which to sort the results. The default is CreationTime.
+ */
+ SortBy?: UserProfileSortKey;
+ /**
+ * A parameter by which to filter the results.
+ */
+ DomainIdEquals?: DomainId;
+ /**
+ * A parameter by which to filter the results.
+ */
+ UserProfileNameContains?: UserProfileName;
+ }
+ export interface ListUserProfilesResponse {
/**
- * An array of TransformJobSummary objects.
+ * The list of user profiles.
*/
- TransformJobSummaries: TransformJobSummaries;
+ UserProfiles?: UserProfileList;
/**
- * If the response is truncated, Amazon SageMaker returns this token. To retrieve the next set of transform jobs, use it in the next request.
+ * If the previous response was truncated, you will receive this token. Use it in your next request to receive the next set of results.
*/
NextToken?: NextToken;
}
@@ -3955,6 +6862,8 @@ declare namespace SageMaker {
NextToken?: NextToken;
}
export type ListWorkteamsSortByOptions = "Name"|"CreateDate"|string;
+ export type MaxAutoMLJobRuntimeInSeconds = number;
+ export type MaxCandidates = number;
export type MaxConcurrentTaskCount = number;
export type MaxConcurrentTransforms = number;
export type MaxHumanLabeledObjectCount = number;
@@ -3964,7 +6873,9 @@ declare namespace SageMaker {
export type MaxPercentageOfInputDatasetLabeled = number;
export type MaxResults = number;
export type MaxRuntimeInSeconds = number;
+ export type MaxRuntimePerTrainingJobInSeconds = number;
export type MaxWaitTimeInSeconds = number;
+ export type MediaType = string;
export interface MemberDefinition {
/**
* The Amazon Cognito user group that is part of the work team.
@@ -4120,6 +7031,236 @@ declare namespace SageMaker {
CreationTime: Timestamp;
}
export type ModelSummaryList = ModelSummary[];
+ export interface MonitoringAppSpecification {
+ /**
+ * The container image to be run by the monitoring job.
+ */
+ ImageUri: ImageUri;
+ /**
+ * Specifies the entrypoint for a container used to run the monitoring job.
+ */
+ ContainerEntrypoint?: ContainerEntrypoint;
+ /**
+ * An array of arguments for the container used to run the monitoring job.
+ */
+ ContainerArguments?: MonitoringContainerArguments;
+ /**
+ * An Amazon S3 URI to a script that is called per row prior to running analysis. It can base64 decode the payload and convert it into a flatted json so that the built-in container can use the converted data. Applicable only for the built-in (first party) containers.
+ */
+ RecordPreprocessorSourceUri?: S3Uri;
+ /**
+ * An Amazon S3 URI to a script that is called after analysis has been performed. Applicable only for the built-in (first party) containers.
+ */
+ PostAnalyticsProcessorSourceUri?: S3Uri;
+ }
+ export interface MonitoringBaselineConfig {
+ /**
+ * The baseline constraint file in Amazon S3 that the current monitoring job should validated against.
+ */
+ ConstraintsResource?: MonitoringConstraintsResource;
+ /**
+ * The baseline statistics file in Amazon S3 that the current monitoring job should be validated against.
+ */
+ StatisticsResource?: MonitoringStatisticsResource;
+ }
+ export interface MonitoringClusterConfig {
+ /**
+ * The number of ML compute instances to use in the model monitoring job. For distributed processing jobs, specify a value greater than 1. The default value is 1.
+ */
+ InstanceCount: ProcessingInstanceCount;
+ /**
+ * The ML compute instance type for the processing job.
+ */
+ InstanceType: ProcessingInstanceType;
+ /**
+ * The size of the ML storage volume, in gigabytes, that you want to provision. You must specify sufficient ML storage for your scenario.
+ */
+ VolumeSizeInGB: ProcessingVolumeSizeInGB;
+ /**
+ * The AWS Key Management Service (AWS KMS) key that Amazon SageMaker uses to encrypt data on the storage volume attached to the ML compute instance(s) that run the model monitoring job.
+ */
+ VolumeKmsKeyId?: KmsKeyId;
+ }
+ export interface MonitoringConstraintsResource {
+ /**
+ * The Amazon S3 URI for the constraints resource.
+ */
+ S3Uri?: S3Uri;
+ }
+ export type MonitoringContainerArguments = ContainerArgument[];
+ export type MonitoringEnvironmentMap = {[key: string]: ProcessingEnvironmentValue};
+ export type MonitoringExecutionSortKey = "CreationTime"|"ScheduledTime"|"Status"|string;
+ export interface MonitoringExecutionSummary {
+ /**
+ * The name of the monitoring schedule.
+ */
+ MonitoringScheduleName: MonitoringScheduleName;
+ /**
+ * The time the monitoring job was scheduled.
+ */
+ ScheduledTime: Timestamp;
+ /**
+ * The time at which the monitoring job was created.
+ */
+ CreationTime: Timestamp;
+ /**
+ * A timestamp that indicates the last time the monitoring job was modified.
+ */
+ LastModifiedTime: Timestamp;
+ /**
+ * The status of the monitoring job.
+ */
+ MonitoringExecutionStatus: ExecutionStatus;
+ /**
+ * The Amazon Resource Name (ARN) of the monitoring job.
+ */
+ ProcessingJobArn?: ProcessingJobArn;
+ /**
+ * The name of teh endpoint used to run the monitoring job.
+ */
+ EndpointName?: EndpointName;
+ /**
+ * Contains the reason a monitoring job failed, if it failed.
+ */
+ FailureReason?: FailureReason;
+ }
+ export type MonitoringExecutionSummaryList = MonitoringExecutionSummary[];
+ export interface MonitoringInput {
+ /**
+ * The endpoint for a monitoring job.
+ */
+ EndpointInput: EndpointInput;
+ }
+ export type MonitoringInputs = MonitoringInput[];
+ export interface MonitoringJobDefinition {
+ /**
+ * Baseline configuration used to validate that the data conforms to the specified constraints and statistics
+ */
+ BaselineConfig?: MonitoringBaselineConfig;
+ /**
+ * The array of inputs for the monitoring job. Currently we support monitoring an Amazon SageMaker Endpoint.
+ */
+ MonitoringInputs: MonitoringInputs;
+ /**
+ * The array of outputs from the monitoring job to be uploaded to Amazon Simple Storage Service (Amazon S3).
+ */
+ MonitoringOutputConfig: MonitoringOutputConfig;
+ /**
+ * Identifies the resources, ML compute instances, and ML storage volumes to deploy for a monitoring job. In distributed processing, you specify more than one instance.
+ */
+ MonitoringResources: MonitoringResources;
+ /**
+ * Configures the monitoring job to run a specified Docker container image.
+ */
+ MonitoringAppSpecification: MonitoringAppSpecification;
+ /**
+ * Specifies a time limit for how long the monitoring job is allowed to run.
+ */
+ StoppingCondition?: MonitoringStoppingCondition;
+ /**
+ * Sets the environment variables in the Docker container.
+ */
+ Environment?: MonitoringEnvironmentMap;
+ /**
+ * Specifies networking options for an monitoring job.
+ */
+ NetworkConfig?: NetworkConfig;
+ /**
+ * The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker can assume to perform tasks on your behalf.
+ */
+ RoleArn: RoleArn;
+ }
+ export type MonitoringMaxRuntimeInSeconds = number;
+ export interface MonitoringOutput {
+ /**
+ * The Amazon S3 storage location where the results of a monitoring job are saved.
+ */
+ S3Output: MonitoringS3Output;
+ }
+ export interface MonitoringOutputConfig {
+ /**
+ * Monitoring outputs for monitoring jobs. This is where the output of the periodic monitoring jobs is uploaded.
+ */
+ MonitoringOutputs: MonitoringOutputs;
+ /**
+ * The AWS Key Management Service (AWS KMS) key that Amazon SageMaker uses to encrypt the model artifacts at rest using Amazon S3 server-side encryption.
+ */
+ KmsKeyId?: KmsKeyId;
+ }
+ export type MonitoringOutputs = MonitoringOutput[];
+ export interface MonitoringResources {
+ /**
+ * The configuration for the cluster resources used to run the processing job.
+ */
+ ClusterConfig: MonitoringClusterConfig;
+ }
+ export interface MonitoringS3Output {
+ /**
+ * A URI that identifies the Amazon S3 storage location where Amazon SageMaker saves the results of a monitoring job.
+ */
+ S3Uri: MonitoringS3Uri;
+ /**
+ * The local path to the Amazon S3 storage location where Amazon SageMaker saves the results of a monitoring job. LocalPath is an absolute path for the output data.
+ */
+ LocalPath: ProcessingLocalPath;
+ /**
+ * Whether to upload the results of the monitoring job continuously or after the job completes.
+ */
+ S3UploadMode?: ProcessingS3UploadMode;
+ }
+ export type MonitoringS3Uri = string;
+ export type MonitoringScheduleArn = string;
+ export interface MonitoringScheduleConfig {
+ /**
+ * Configures the monitoring schedule.
+ */
+ ScheduleConfig?: ScheduleConfig;
+ /**
+ * Defines the monitoring job.
+ */
+ MonitoringJobDefinition: MonitoringJobDefinition;
+ }
+ export type MonitoringScheduleName = string;
+ export type MonitoringScheduleSortKey = "Name"|"CreationTime"|"Status"|string;
+ export interface MonitoringScheduleSummary {
+ /**
+ * The name of the monitoring schedule.
+ */
+ MonitoringScheduleName: MonitoringScheduleName;
+ /**
+ * The Amazon Resource Name (ARN) of the monitoring schedule.
+ */
+ MonitoringScheduleArn: MonitoringScheduleArn;
+ /**
+ * The creation time of the monitoring schedule.
+ */
+ CreationTime: Timestamp;
+ /**
+ * The last time the monitoring schedule was modified.
+ */
+ LastModifiedTime: Timestamp;
+ /**
+ * The status of the monitoring schedule.
+ */
+ MonitoringScheduleStatus: ScheduleStatus;
+ /**
+ * The name of the endpoint using the monitoring schedule.
+ */
+ EndpointName?: EndpointName;
+ }
+ export type MonitoringScheduleSummaryList = MonitoringScheduleSummary[];
+ export interface MonitoringStatisticsResource {
+ /**
+ * The Amazon S3 URI for the statistics resource.
+ */
+ S3Uri?: S3Uri;
+ }
+ export interface MonitoringStoppingCondition {
+ /**
+ * The maximum runtime allowed in seconds.
+ */
+ MaxRuntimeInSeconds: MonitoringMaxRuntimeInSeconds;
+ }
export type NameContains = string;
export interface NestedFilters {
/**
@@ -4132,6 +7273,13 @@ declare namespace SageMaker {
Filters: FilterList;
}
export type NestedFiltersList = NestedFilters[];
+ export interface NetworkConfig {
+ /**
+ * Whether to allow inbound and outbound network calls to and from the containers used for the processing job.
+ */
+ EnableNetworkIsolation?: Boolean;
+ VpcConfig?: VpcConfig;
+ }
export type NetworkInterfaceId = string;
export type NextToken = string;
export type NotebookInstanceAcceleratorType = "ml.eia1.medium"|"ml.eia1.large"|"ml.eia1.xlarge"|"ml.eia2.medium"|"ml.eia2.large"|"ml.eia2.xlarge"|string;
@@ -4219,6 +7367,7 @@ declare namespace SageMaker {
export type NotebookInstanceSummaryList = NotebookInstanceSummary[];
export type NotebookInstanceUrl = string;
export type NotebookInstanceVolumeSizeInGB = number;
+ export type NotebookOutputOption = "Allowed"|"Disabled"|string;
export interface NotificationConfiguration {
/**
* The ARN for the SNS topic to which notifications should be published.
@@ -4243,7 +7392,10 @@ declare namespace SageMaker {
*/
Failed?: ObjectiveStatusCounter;
}
- export type Operator = "Equals"|"NotEquals"|"GreaterThan"|"GreaterThanOrEqualTo"|"LessThan"|"LessThanOrEqualTo"|"Contains"|string;
+ export type Operator = "Equals"|"NotEquals"|"GreaterThan"|"GreaterThanOrEqualTo"|"LessThan"|"LessThanOrEqualTo"|"Contains"|"Exists"|"NotExists"|string;
+ export type OptionalDouble = number;
+ export type OptionalInteger = number;
+ export type OptionalVolumeSizeInGB = number;
export type OrderKey = "Ascending"|"Descending"|string;
export interface OutputConfig {
/**
@@ -4299,6 +7451,16 @@ declare namespace SageMaker {
export type ParameterType = "Integer"|"Continuous"|"Categorical"|"FreeText"|string;
export type ParameterValue = string;
export type ParameterValues = ParameterValue[];
+ export interface Parent {
+ /**
+ * The name of the trial.
+ */
+ TrialName?: ExperimentEntityName;
+ /**
+ * The name of the experiment.
+ */
+ ExperimentName?: ExperimentEntityName;
+ }
export interface ParentHyperParameterTuningJob {
/**
* The name of the hyperparameter tuning job to be used as a starting point for a new hyperparameter tuning job.
@@ -4306,6 +7468,162 @@ declare namespace SageMaker {
HyperParameterTuningJobName?: HyperParameterTuningJobName;
}
export type ParentHyperParameterTuningJobs = ParentHyperParameterTuningJob[];
+ export type Parents = Parent[];
+ export type PresignedDomainUrl = string;
+ export type ProblemType = "BinaryClassification"|"MulticlassClassification"|"Regression"|string;
+ export interface ProcessingClusterConfig {
+ /**
+ * The number of ML compute instances to use in the processing job. For distributed processing jobs, specify a value greater than 1. The default value is 1.
+ */
+ InstanceCount: ProcessingInstanceCount;
+ /**
+ * The ML compute instance type for the processing job.
+ */
+ InstanceType: ProcessingInstanceType;
+ /**
+ * The size of the ML storage volume in gigabytes that you want to provision. You must specify sufficient ML storage for your scenario.
+ */
+ VolumeSizeInGB: ProcessingVolumeSizeInGB;
+ /**
+ * The AWS Key Management Service (AWS KMS) key that Amazon SageMaker uses to encrypt data on the storage volume attached to the ML compute instance(s) that run the processing job.
+ */
+ VolumeKmsKeyId?: KmsKeyId;
+ }
+ export type ProcessingEnvironmentKey = string;
+ export type ProcessingEnvironmentMap = {[key: string]: ProcessingEnvironmentValue};
+ export type ProcessingEnvironmentValue = string;
+ export interface ProcessingInput {
+ /**
+ * The name of the inputs for the processing job.
+ */
+ InputName: String;
+ /**
+ * The S3 inputs for the processing job.
+ */
+ S3Input: ProcessingS3Input;
+ }
+ export type ProcessingInputs = ProcessingInput[];
+ export type ProcessingInstanceCount = number;
+ export type ProcessingInstanceType = "ml.t3.medium"|"ml.t3.large"|"ml.t3.xlarge"|"ml.t3.2xlarge"|"ml.m4.xlarge"|"ml.m4.2xlarge"|"ml.m4.4xlarge"|"ml.m4.10xlarge"|"ml.m4.16xlarge"|"ml.c4.xlarge"|"ml.c4.2xlarge"|"ml.c4.4xlarge"|"ml.c4.8xlarge"|"ml.p2.xlarge"|"ml.p2.8xlarge"|"ml.p2.16xlarge"|"ml.p3.2xlarge"|"ml.p3.8xlarge"|"ml.p3.16xlarge"|"ml.c5.xlarge"|"ml.c5.2xlarge"|"ml.c5.4xlarge"|"ml.c5.9xlarge"|"ml.c5.18xlarge"|"ml.m5.large"|"ml.m5.xlarge"|"ml.m5.2xlarge"|"ml.m5.4xlarge"|"ml.m5.12xlarge"|"ml.m5.24xlarge"|"ml.r5.large"|"ml.r5.xlarge"|"ml.r5.2xlarge"|"ml.r5.4xlarge"|"ml.r5.8xlarge"|"ml.r5.12xlarge"|"ml.r5.16xlarge"|"ml.r5.24xlarge"|string;
+ export type ProcessingJobArn = string;
+ export type ProcessingJobName = string;
+ export type ProcessingJobStatus = "InProgress"|"Completed"|"Failed"|"Stopping"|"Stopped"|string;
+ export type ProcessingJobSummaries = ProcessingJobSummary[];
+ export interface ProcessingJobSummary {
+ /**
+ * The name of the processing job.
+ */
+ ProcessingJobName: ProcessingJobName;
+ /**
+ * The Amazon Resource Name (ARN) of the processing job..
+ */
+ ProcessingJobArn: ProcessingJobArn;
+ /**
+ * The time at which the processing job was created.
+ */
+ CreationTime: Timestamp;
+ /**
+ * The time at which the processing job completed.
+ */
+ ProcessingEndTime?: Timestamp;
+ /**
+ * A timestamp that indicates the last time the processing job was modified.
+ */
+ LastModifiedTime?: Timestamp;
+ /**
+ * The status of the processing job.
+ */
+ ProcessingJobStatus: ProcessingJobStatus;
+ /**
+ * A string, up to one KB in size, that contains the reason a processing job failed, if it failed.
+ */
+ FailureReason?: FailureReason;
+ /**
+ * An optional string, up to one KB in size, that contains metadata from the processing container when the processing job exits.
+ */
+ ExitMessage?: ExitMessage;
+ }
+ export type ProcessingLocalPath = string;
+ export type ProcessingMaxRuntimeInSeconds = number;
+ export interface ProcessingOutput {
+ /**
+ * The name for the processing job output.
+ */
+ OutputName: String;
+ /**
+ * Configuration for processing job outputs in Amazon S3.
+ */
+ S3Output: ProcessingS3Output;
+ }
+ export interface ProcessingOutputConfig {
+ /**
+ * Output configuration information for a processing job.
+ */
+ Outputs: ProcessingOutputs;
+ /**
+ * The AWS Key Management Service (AWS KMS) key that Amazon SageMaker uses to encrypt the processing job output. KmsKeyId can be an ID of a KMS key, ARN of a KMS key, alias of a KMS key, or alias of a KMS key. The KmsKeyId is applied to all outputs.
+ */
+ KmsKeyId?: KmsKeyId;
+ }
+ export type ProcessingOutputs = ProcessingOutput[];
+ export interface ProcessingResources {
+ /**
+ * The configuration for the resources in a cluster used to run the processing job.
+ */
+ ClusterConfig: ProcessingClusterConfig;
+ }
+ export type ProcessingS3CompressionType = "None"|"Gzip"|string;
+ export type ProcessingS3DataDistributionType = "FullyReplicated"|"ShardedByS3Key"|string;
+ export type ProcessingS3DataType = "ManifestFile"|"S3Prefix"|string;
+ export interface ProcessingS3Input {
+ /**
+ * The URI for the Amazon S3 storage where you want Amazon SageMaker to download the artifacts needed to run a processing job.
+ */
+ S3Uri: S3Uri;
+ /**
+ * The local path to the Amazon S3 bucket where you want Amazon SageMaker to download the inputs to run a processing job. LocalPath is an absolute path to the input data.
+ */
+ LocalPath: ProcessingLocalPath;
+ /**
+ * Whether you use an S3Prefix or a ManifestFile for the data type. If you choose S3Prefix, S3Uri identifies a key name prefix. Amazon SageMaker uses all objects with the specified key name prefix for the processing job. If you choose ManifestFile, S3Uri identifies an object that is a manifest file containing a list of object keys that you want Amazon SageMaker to use for the processing job.
+ */
+ S3DataType: ProcessingS3DataType;
+ /**
+ * Wether to use File or Pipe input mode. In File mode, Amazon SageMaker copies the data from the input source onto the local Amazon Elastic Block Store (Amazon EBS) volumes before starting your training algorithm. This is the most commonly used input mode. In Pipe mode, Amazon SageMaker streams input data from the source directly to your algorithm without using the EBS volume.
+ */
+ S3InputMode: ProcessingS3InputMode;
+ /**
+ * Whether the data stored in Amazon S3 is FullyReplicated or ShardedByS3Key.
+ */
+ S3DataDistributionType?: ProcessingS3DataDistributionType;
+ /**
+ * Whether to use Gzip compresion for Amazon S3 storage.
+ */
+ S3CompressionType?: ProcessingS3CompressionType;
+ }
+ export type ProcessingS3InputMode = "Pipe"|"File"|string;
+ export interface ProcessingS3Output {
+ /**
+ * A URI that identifies the Amazon S3 bucket where you want Amazon SageMaker to save the results of a processing job.
+ */
+ S3Uri: S3Uri;
+ /**
+ * The local path to the Amazon S3 bucket where you want Amazon SageMaker to save the results of an processing job. LocalPath is an absolute path to the input data.
+ */
+ LocalPath: ProcessingLocalPath;
+ /**
+ * Whether to upload the results of the processing job continuously or after the job completes.
+ */
+ S3UploadMode: ProcessingS3UploadMode;
+ }
+ export type ProcessingS3UploadMode = "Continuous"|"EndOfJob"|string;
+ export interface ProcessingStoppingCondition {
+ /**
+ * Specifies the maximum runtime in seconds.
+ */
+ MaxRuntimeInSeconds: ProcessingMaxRuntimeInSeconds;
+ }
+ export type ProcessingVolumeSizeInGB = number;
export type ProductId = string;
export type ProductListings = String[];
export interface ProductionVariant {
@@ -4335,7 +7653,7 @@ declare namespace SageMaker {
AcceleratorType?: ProductionVariantAcceleratorType;
}
export type ProductionVariantAcceleratorType = "ml.eia1.medium"|"ml.eia1.large"|"ml.eia1.xlarge"|"ml.eia2.medium"|"ml.eia2.large"|"ml.eia2.xlarge"|string;
- export type ProductionVariantInstanceType = "ml.t2.medium"|"ml.t2.large"|"ml.t2.xlarge"|"ml.t2.2xlarge"|"ml.m4.xlarge"|"ml.m4.2xlarge"|"ml.m4.4xlarge"|"ml.m4.10xlarge"|"ml.m4.16xlarge"|"ml.m5.large"|"ml.m5.xlarge"|"ml.m5.2xlarge"|"ml.m5.4xlarge"|"ml.m5.12xlarge"|"ml.m5.24xlarge"|"ml.m5d.large"|"ml.m5d.xlarge"|"ml.m5d.2xlarge"|"ml.m5d.4xlarge"|"ml.m5d.12xlarge"|"ml.m5d.24xlarge"|"ml.c4.large"|"ml.c4.xlarge"|"ml.c4.2xlarge"|"ml.c4.4xlarge"|"ml.c4.8xlarge"|"ml.p2.xlarge"|"ml.p2.8xlarge"|"ml.p2.16xlarge"|"ml.p3.2xlarge"|"ml.p3.8xlarge"|"ml.p3.16xlarge"|"ml.c5.large"|"ml.c5.xlarge"|"ml.c5.2xlarge"|"ml.c5.4xlarge"|"ml.c5.9xlarge"|"ml.c5.18xlarge"|"ml.c5d.large"|"ml.c5d.xlarge"|"ml.c5d.2xlarge"|"ml.c5d.4xlarge"|"ml.c5d.9xlarge"|"ml.c5d.18xlarge"|"ml.g4dn.xlarge"|"ml.g4dn.2xlarge"|"ml.g4dn.4xlarge"|"ml.g4dn.8xlarge"|"ml.g4dn.12xlarge"|"ml.g4dn.16xlarge"|"ml.r5.large"|"ml.r5.xlarge"|"ml.r5.2xlarge"|"ml.r5.4xlarge"|"ml.r5.12xlarge"|"ml.r5.24xlarge"|"ml.r5d.large"|"ml.r5d.xlarge"|"ml.r5d.2xlarge"|"ml.r5d.4xlarge"|"ml.r5d.12xlarge"|"ml.r5d.24xlarge"|string;
+ export type ProductionVariantInstanceType = "ml.t2.medium"|"ml.t2.large"|"ml.t2.xlarge"|"ml.t2.2xlarge"|"ml.m4.xlarge"|"ml.m4.2xlarge"|"ml.m4.4xlarge"|"ml.m4.10xlarge"|"ml.m4.16xlarge"|"ml.m5.large"|"ml.m5.xlarge"|"ml.m5.2xlarge"|"ml.m5.4xlarge"|"ml.m5.12xlarge"|"ml.m5.24xlarge"|"ml.m5d.large"|"ml.m5d.xlarge"|"ml.m5d.2xlarge"|"ml.m5d.4xlarge"|"ml.m5d.12xlarge"|"ml.m5d.24xlarge"|"ml.c4.large"|"ml.c4.xlarge"|"ml.c4.2xlarge"|"ml.c4.4xlarge"|"ml.c4.8xlarge"|"ml.p2.xlarge"|"ml.p2.8xlarge"|"ml.p2.16xlarge"|"ml.p3.2xlarge"|"ml.p3.8xlarge"|"ml.p3.16xlarge"|"ml.c5.large"|"ml.c5.xlarge"|"ml.c5.2xlarge"|"ml.c5.4xlarge"|"ml.c5.9xlarge"|"ml.c5.18xlarge"|"ml.c5d.large"|"ml.c5d.xlarge"|"ml.c5d.2xlarge"|"ml.c5d.4xlarge"|"ml.c5d.9xlarge"|"ml.c5d.18xlarge"|"ml.g4dn.xlarge"|"ml.g4dn.2xlarge"|"ml.g4dn.4xlarge"|"ml.g4dn.8xlarge"|"ml.g4dn.12xlarge"|"ml.g4dn.16xlarge"|"ml.r5.large"|"ml.r5.xlarge"|"ml.r5.2xlarge"|"ml.r5.4xlarge"|"ml.r5.12xlarge"|"ml.r5.24xlarge"|"ml.r5d.large"|"ml.r5d.xlarge"|"ml.r5d.2xlarge"|"ml.r5d.4xlarge"|"ml.r5d.12xlarge"|"ml.r5d.24xlarge"|"ml.inf1.xlarge"|"ml.inf1.2xlarge"|"ml.inf1.6xlarge"|"ml.inf1.24xlarge"|string;
export type ProductionVariantList = ProductionVariant[];
export interface ProductionVariantSummary {
/**
@@ -4427,6 +7745,14 @@ declare namespace SageMaker {
Message: String;
}
export type RenderingErrorList = RenderingError[];
+ export interface ResolvedAttributes {
+ AutoMLJobObjective?: AutoMLJobObjective;
+ /**
+ * The problem type.
+ */
+ ProblemType?: ProblemType;
+ CompletionCriteria?: AutoMLJobCompletionCriteria;
+ }
export type ResourceArn = string;
export interface ResourceConfig {
/**
@@ -4446,6 +7772,7 @@ declare namespace SageMaker {
*/
VolumeKmsKeyId?: KmsKeyId;
}
+ export type ResourceId = string;
export interface ResourceLimits {
/**
* The maximum number of training jobs that a hyperparameter tuning job can launch.
@@ -4457,11 +7784,31 @@ declare namespace SageMaker {
MaxParallelTrainingJobs: MaxParallelTrainingJobs;
}
export type ResourcePropertyName = string;
- export type ResourceType = "TrainingJob"|string;
+ export interface ResourceSpec {
+ /**
+ * The Amazon Resource Name (ARN) of the environment.
+ */
+ EnvironmentArn?: EnvironmentArn;
+ /**
+ * The instance type.
+ */
+ InstanceType?: AppInstanceType;
+ }
+ export type ResourceType = "TrainingJob"|"Experiment"|"ExperimentTrial"|"ExperimentTrialComponent"|string;
export type ResponseMIMEType = string;
export type ResponseMIMETypes = ResponseMIMEType[];
+ export interface RetentionPolicy {
+ /**
+ * The home Amazon Elastic File System (EFS).
+ */
+ HomeEfsFileSystem?: RetentionType;
+ }
+ export type RetentionType = "Retain"|"Delete"|string;
export type RoleArn = string;
export type RootAccess = "Enabled"|"Disabled"|string;
+ export type RuleConfigurationName = string;
+ export type RuleEvaluationStatus = "InProgress"|"NoIssuesFound"|"IssuesFound"|"Error"|"Stopping"|"Stopped"|string;
+ export type RuleParameters = {[key: string]: ConfigValue};
export type S3DataDistribution = "FullyReplicated"|"ShardedByS3Key"|string;
export interface S3DataSource {
/**
@@ -4483,6 +7830,15 @@ declare namespace SageMaker {
}
export type S3DataType = "ManifestFile"|"S3Prefix"|"AugmentedManifestFile"|string;
export type S3Uri = string;
+ export type SamplingPercentage = number;
+ export interface ScheduleConfig {
+ /**
+ * A cron expression that describes details about the monitoring schedule. Currently the only supported cron expressions are: If you want to set the job to start every hour, please use the following: Hourly: cron(0 * ? * * *) If you want to start the job daily: cron(0 [00-23] ? * * *) For example, the following are valid cron expressions: Daily at noon UTC: cron(0 12 ? * * *) Daily at midnight UTC: cron(0 0 ? * * *) To support running every 6, 12 hours, the following are also supported: cron(0 [00-23]/[01-24] ? * * *) For example, the following are valid cron expressions: Every 12 hours, starting at 5pm UTC: cron(0 17/12 ? * * *) Every two hours starting at midnight: cron(0 0/2 ? * * *) Even though the cron expression is set to start at 5PM UTC, note that there could be a delay of 0-20 minutes from the actual requested time to run the execution. We recommend that if you would like a daily schedule, you do not provide this parameter. Amazon SageMaker will pick a time for running every day.
+ */
+ ScheduleExpression: ScheduleExpression;
+ }
+ export type ScheduleExpression = string;
+ export type ScheduleStatus = "Pending"|"Failed"|"Scheduled"|"Stopped"|string;
export interface SearchExpression {
/**
* A list of filter objects.
@@ -4507,6 +7863,18 @@ declare namespace SageMaker {
* A TrainingJob object that is returned as part of a Search request.
*/
TrainingJob?: TrainingJob;
+ /**
+ * A summary of the properties of an experiment.
+ */
+ Experiment?: Experiment;
+ /**
+ * A summary of the properties of a trial.
+ */
+ Trial?: Trial;
+ /**
+ * A summary of the properties of a trial component.
+ */
+ TrialComponent?: TrialComponent;
}
export interface SearchRequest {
/**
@@ -4571,14 +7939,32 @@ declare namespace SageMaker {
export type SecurityGroupIds = SecurityGroupId[];
export type Seed = number;
export type SessionExpirationDurationInSeconds = number;
+ export interface SharingSettings {
+ /**
+ * The notebook output option.
+ */
+ NotebookOutputOption?: NotebookOutputOption;
+ /**
+ * The Amazon S3 output path.
+ */
+ S3OutputPath?: S3Uri;
+ /**
+ * The AWS Key Management Service encryption key ID.
+ */
+ S3KmsKeyId?: KmsKeyId;
+ }
export interface ShuffleConfig {
/**
* Determines the shuffling order in ShuffleConfig value.
*/
Seed: Seed;
}
+ export type SingleSignOnUserIdentifier = string;
export type SortBy = "Name"|"CreationTime"|"Status"|string;
+ export type SortExperimentsBy = "Name"|"CreationTime"|string;
export type SortOrder = "Ascending"|"Descending"|string;
+ export type SortTrialComponentsBy = "Name"|"CreationTime"|string;
+ export type SortTrialsBy = "Name"|"CreationTime"|string;
export interface SourceAlgorithm {
/**
* The Amazon S3 path where the model artifacts, which result from model training, are stored. This path must point to a single gzip compressed tar archive (.tar.gz suffix).
@@ -4596,14 +7982,28 @@ declare namespace SageMaker {
*/
SourceAlgorithms: SourceAlgorithmList;
}
+ export type SourceType = string;
export type SplitType = "None"|"Line"|"RecordIO"|"TFRecord"|string;
+ export interface StartMonitoringScheduleRequest {
+ /**
+ * The name of the schedule to start.
+ */
+ MonitoringScheduleName: MonitoringScheduleName;
+ }
export interface StartNotebookInstanceInput {
/**
* The name of the notebook instance to start.
*/
NotebookInstanceName: NotebookInstanceName;
}
+ export type StatusDetails = string;
export type StatusMessage = string;
+ export interface StopAutoMLJobRequest {
+ /**
+ * The name of the object you are requesting.
+ */
+ AutoMLJobName: AutoMLJobName;
+ }
export interface StopCompilationJobRequest {
/**
* The name of the model compilation job to stop.
@@ -4622,12 +8022,24 @@ declare namespace SageMaker {
*/
LabelingJobName: LabelingJobName;
}
+ export interface StopMonitoringScheduleRequest {
+ /**
+ * The name of the schedule to stop.
+ */
+ MonitoringScheduleName: MonitoringScheduleName;
+ }
export interface StopNotebookInstanceInput {
/**
* The name of the notebook instance to terminate.
*/
NotebookInstanceName: NotebookInstanceName;
}
+ export interface StopProcessingJobRequest {
+ /**
+ * The name of the processing job to stop.
+ */
+ ProcessingJobName: ProcessingJobName;
+ }
export interface StopTrainingJobRequest {
/**
* The name of the training job to stop.
@@ -4651,7 +8063,10 @@ declare namespace SageMaker {
MaxWaitTimeInSeconds?: MaxWaitTimeInSeconds;
}
export type String = string;
+ export type String1024 = string;
export type String200 = string;
+ export type String256 = string;
+ export type StringParameterValue = string;
export type SubnetId = string;
export type Subnets = SubnetId[];
export interface SubscribedWorkteam {
@@ -4698,7 +8113,9 @@ declare namespace SageMaker {
export type TagKeyList = TagKey[];
export type TagList = Tag[];
export type TagValue = string;
- export type TargetDevice = "lambda"|"ml_m4"|"ml_m5"|"ml_c4"|"ml_c5"|"ml_p2"|"ml_p3"|"jetson_tx1"|"jetson_tx2"|"jetson_nano"|"rasp3b"|"deeplens"|"rk3399"|"rk3288"|"aisage"|"sbe_c"|"qcs605"|"qcs603"|string;
+ export type TargetAttributeName = string;
+ export type TargetDevice = "lambda"|"ml_m4"|"ml_m5"|"ml_c4"|"ml_c5"|"ml_p2"|"ml_p3"|"ml_inf1"|"jetson_tx1"|"jetson_tx2"|"jetson_nano"|"rasp3b"|"deeplens"|"rk3399"|"rk3288"|"aisage"|"sbe_c"|"qcs605"|"qcs603"|string;
+ export type TargetObjectiveMetricValue = number;
export type TaskAvailabilityLifetimeInSeconds = number;
export type TaskCount = number;
export type TaskDescription = string;
@@ -4708,6 +8125,24 @@ declare namespace SageMaker {
export type TaskTimeLimitInSeconds = number;
export type TaskTitle = string;
export type TemplateContent = string;
+ export type TemplateContentSha256 = string;
+ export type TemplateUrl = string;
+ export interface TensorBoardAppSettings {
+ /**
+ * The instance type and quantity.
+ */
+ DefaultResourceSpec?: ResourceSpec;
+ }
+ export interface TensorBoardOutputConfig {
+ /**
+ * Path to local storage location for tensorBoard output. Defaults to /opt/ml/output/tensorboard.
+ */
+ LocalPath?: DirectoryPath;
+ /**
+ * Path to Amazon S3 storage location for TensorBoard output.
+ */
+ S3OutputPath: S3Uri;
+ }
export type TenthFractionsOfACent = number;
export type Timestamp = Date;
export type TrainingInputMode = "Pipe"|"File"|string;
@@ -4731,6 +8166,10 @@ declare namespace SageMaker {
* The Amazon Resource Name (ARN) of the labeling job.
*/
LabelingJobArn?: LabelingJobArn;
+ /**
+ * The Amazon Resource Name (ARN) of the job.
+ */
+ AutoMLJobArn?: AutoMLJobArn;
/**
* Information about the Amazon S3 location that is configured for storing model artifacts.
*/
@@ -4811,6 +8250,30 @@ declare namespace SageMaker {
* To encrypt all communications between ML compute instances in distributed training, choose True. Encryption provides greater security for distributed training, but training might take longer. How long it takes depends on the amount of communication between compute instances, especially if you use a deep learning algorithm in distributed training.
*/
EnableInterContainerTrafficEncryption?: Boolean;
+ /**
+ * When true, enables managed spot training using Amazon EC2 Spot instances to run training jobs instead of on-demand instances. For more information, see model-managed-spot-training.
+ */
+ EnableManagedSpotTraining?: Boolean;
+ CheckpointConfig?: CheckpointConfig;
+ /**
+ * The training time in seconds.
+ */
+ TrainingTimeInSeconds?: TrainingTimeInSeconds;
+ /**
+ * The billable time in seconds.
+ */
+ BillableTimeInSeconds?: BillableTimeInSeconds;
+ DebugHookConfig?: DebugHookConfig;
+ ExperimentConfig?: ExperimentConfig;
+ /**
+ * Information about the debug rule configuration.
+ */
+ DebugRuleConfigurations?: DebugRuleConfigurations;
+ TensorBoardOutputConfig?: TensorBoardOutputConfig;
+ /**
+ * Information about the evaluation status of the rules for the training job.
+ */
+ DebugRuleEvaluationStatuses?: DebugRuleEvaluationStatuses;
/**
* An array of key-value pairs. For more information, see Using Cost Allocation Tags in the AWS Billing and Cost Management User Guide.
*/
@@ -4850,223 +8313,520 @@ declare namespace SageMaker {
export type TrainingJobStatusCounter = number;
export interface TrainingJobStatusCounters {
/**
- * The number of completed training jobs launched by the hyperparameter tuning job.
+ * The number of completed training jobs launched by the hyperparameter tuning job.
+ */
+ Completed?: TrainingJobStatusCounter;
+ /**
+ * The number of in-progress training jobs launched by a hyperparameter tuning job.
+ */
+ InProgress?: TrainingJobStatusCounter;
+ /**
+ * The number of training jobs that failed, but can be retried. A failed training job can be retried only if it failed because an internal service error occurred.
+ */
+ RetryableError?: TrainingJobStatusCounter;
+ /**
+ * The number of training jobs that failed and can't be retried. A failed training job can't be retried if it failed because a client error occurred.
+ */
+ NonRetryableError?: TrainingJobStatusCounter;
+ /**
+ * The number of training jobs launched by a hyperparameter tuning job that were manually stopped.
+ */
+ Stopped?: TrainingJobStatusCounter;
+ }
+ export type TrainingJobSummaries = TrainingJobSummary[];
+ export interface TrainingJobSummary {
+ /**
+ * The name of the training job that you want a summary for.
+ */
+ TrainingJobName: TrainingJobName;
+ /**
+ * The Amazon Resource Name (ARN) of the training job.
+ */
+ TrainingJobArn: TrainingJobArn;
+ /**
+ * A timestamp that shows when the training job was created.
+ */
+ CreationTime: Timestamp;
+ /**
+ * A timestamp that shows when the training job ended. This field is set only if the training job has one of the terminal statuses (Completed, Failed, or Stopped).
+ */
+ TrainingEndTime?: Timestamp;
+ /**
+ * Timestamp when the training job was last modified.
+ */
+ LastModifiedTime?: Timestamp;
+ /**
+ * The status of the training job.
+ */
+ TrainingJobStatus: TrainingJobStatus;
+ }
+ export interface TrainingSpecification {
+ /**
+ * The Amazon ECR registry path of the Docker image that contains the training algorithm.
+ */
+ TrainingImage: Image;
+ /**
+ * An MD5 hash of the training algorithm that identifies the Docker image used for training.
+ */
+ TrainingImageDigest?: ImageDigest;
+ /**
+ * A list of the HyperParameterSpecification objects, that define the supported hyperparameters. This is required if the algorithm supports automatic model tuning.>
+ */
+ SupportedHyperParameters?: HyperParameterSpecifications;
+ /**
+ * A list of the instance types that this algorithm can use for training.
+ */
+ SupportedTrainingInstanceTypes: TrainingInstanceTypes;
+ /**
+ * Indicates whether the algorithm supports distributed training. If set to false, buyers can't request more than one instance during training.
+ */
+ SupportsDistributedTraining?: Boolean;
+ /**
+ * A list of MetricDefinition objects, which are used for parsing metrics generated by the algorithm.
+ */
+ MetricDefinitions?: MetricDefinitionList;
+ /**
+ * A list of ChannelSpecification objects, which specify the input sources to be used by the algorithm.
+ */
+ TrainingChannels: ChannelSpecifications;
+ /**
+ * A list of the metrics that the algorithm emits that can be used as the objective metric in a hyperparameter tuning job.
+ */
+ SupportedTuningJobObjectiveMetrics?: HyperParameterTuningJobObjectives;
+ }
+ export type TrainingTimeInSeconds = number;
+ export interface TransformDataSource {
+ /**
+ * The S3 location of the data source that is associated with a channel.
+ */
+ S3DataSource: TransformS3DataSource;
+ }
+ export type TransformEnvironmentKey = string;
+ export type TransformEnvironmentMap = {[key: string]: TransformEnvironmentValue};
+ export type TransformEnvironmentValue = string;
+ export interface TransformInput {
+ /**
+ * Describes the location of the channel data, which is, the S3 location of the input data that the model can consume.
+ */
+ DataSource: TransformDataSource;
+ /**
+ * The multipurpose internet mail extension (MIME) type of the data. Amazon SageMaker uses the MIME type with each http call to transfer data to the transform job.
+ */
+ ContentType?: ContentType;
+ /**
+ * If your transform data is compressed, specify the compression type. Amazon SageMaker automatically decompresses the data for the transform job accordingly. The default value is None.
+ */
+ CompressionType?: CompressionType;
+ /**
+ * The method to use to split the transform job's data files into smaller batches. Splitting is necessary when the total size of each object is too large to fit in a single request. You can also use data splitting to improve performance by processing multiple concurrent mini-batches. The default value for SplitType is None, which indicates that input data files are not split, and request payloads contain the entire contents of an input object. Set the value of this parameter to Line to split records on a newline character boundary. SplitType also supports a number of record-oriented binary data formats. When splitting is enabled, the size of a mini-batch depends on the values of the BatchStrategy and MaxPayloadInMB parameters. When the value of BatchStrategy is MultiRecord, Amazon SageMaker sends the maximum number of records in each request, up to the MaxPayloadInMB limit. If the value of BatchStrategy is SingleRecord, Amazon SageMaker sends individual records in each request. Some data formats represent a record as a binary payload wrapped with extra padding bytes. When splitting is applied to a binary data format, padding is removed if the value of BatchStrategy is set to SingleRecord. Padding is not removed if the value of BatchStrategy is set to MultiRecord. For more information about RecordIO, see Create a Dataset Using RecordIO in the MXNet documentation. For more information about TFRecord, see Consuming TFRecord data in the TensorFlow documentation.
+ */
+ SplitType?: SplitType;
+ }
+ export type TransformInstanceCount = number;
+ export type TransformInstanceType = "ml.m4.xlarge"|"ml.m4.2xlarge"|"ml.m4.4xlarge"|"ml.m4.10xlarge"|"ml.m4.16xlarge"|"ml.c4.xlarge"|"ml.c4.2xlarge"|"ml.c4.4xlarge"|"ml.c4.8xlarge"|"ml.p2.xlarge"|"ml.p2.8xlarge"|"ml.p2.16xlarge"|"ml.p3.2xlarge"|"ml.p3.8xlarge"|"ml.p3.16xlarge"|"ml.c5.xlarge"|"ml.c5.2xlarge"|"ml.c5.4xlarge"|"ml.c5.9xlarge"|"ml.c5.18xlarge"|"ml.m5.large"|"ml.m5.xlarge"|"ml.m5.2xlarge"|"ml.m5.4xlarge"|"ml.m5.12xlarge"|"ml.m5.24xlarge"|string;
+ export type TransformInstanceTypes = TransformInstanceType[];
+ export type TransformJobArn = string;
+ export interface TransformJobDefinition {
+ /**
+ * The maximum number of parallel requests that can be sent to each instance in a transform job. The default value is 1.
+ */
+ MaxConcurrentTransforms?: MaxConcurrentTransforms;
+ /**
+ * The maximum payload size allowed, in MB. A payload is the data portion of a record (without metadata).
+ */
+ MaxPayloadInMB?: MaxPayloadInMB;
+ /**
+ * A string that determines the number of records included in a single mini-batch. SingleRecord means only one record is used per mini-batch. MultiRecord means a mini-batch is set to contain as many records that can fit within the MaxPayloadInMB limit.
+ */
+ BatchStrategy?: BatchStrategy;
+ /**
+ * The environment variables to set in the Docker container. We support up to 16 key and values entries in the map.
+ */
+ Environment?: TransformEnvironmentMap;
+ /**
+ * A description of the input source and the way the transform job consumes it.
+ */
+ TransformInput: TransformInput;
+ /**
+ * Identifies the Amazon S3 location where you want Amazon SageMaker to save the results from the transform job.
+ */
+ TransformOutput: TransformOutput;
+ /**
+ * Identifies the ML compute instances for the transform job.
+ */
+ TransformResources: TransformResources;
+ }
+ export type TransformJobName = string;
+ export type TransformJobStatus = "InProgress"|"Completed"|"Failed"|"Stopping"|"Stopped"|string;
+ export type TransformJobSummaries = TransformJobSummary[];
+ export interface TransformJobSummary {
+ /**
+ * The name of the transform job.
+ */
+ TransformJobName: TransformJobName;
+ /**
+ * The Amazon Resource Name (ARN) of the transform job.
+ */
+ TransformJobArn: TransformJobArn;
+ /**
+ * A timestamp that shows when the transform Job was created.
+ */
+ CreationTime: Timestamp;
+ /**
+ * Indicates when the transform job ends on compute instances. For successful jobs and stopped jobs, this is the exact time recorded after the results are uploaded. For failed jobs, this is when Amazon SageMaker detected that the job failed.
+ */
+ TransformEndTime?: Timestamp;
+ /**
+ * Indicates when the transform job was last modified.
+ */
+ LastModifiedTime?: Timestamp;
+ /**
+ * The status of the transform job.
+ */
+ TransformJobStatus: TransformJobStatus;
+ /**
+ * If the transform job failed, the reason it failed.
+ */
+ FailureReason?: FailureReason;
+ }
+ export interface TransformOutput {
+ /**
+ * The Amazon S3 path where you want Amazon SageMaker to store the results of the transform job. For example, s3://bucket-name/key-name-prefix. For every S3 object used as input for the transform job, batch transform stores the transformed data with an .out suffix in a corresponding subfolder in the location in the output prefix. For example, for the input data stored at s3://bucket-name/input-name-prefix/dataset01/data.csv, batch transform stores the transformed data at s3://bucket-name/output-name-prefix/input-name-prefix/data.csv.out. Batch transform doesn't upload partially processed objects. For an input S3 object that contains multiple records, it creates an .out file only if the transform job succeeds on the entire file. When the input contains multiple S3 objects, the batch transform job processes the listed S3 objects and uploads only the output for successfully processed objects. If any object fails in the transform job batch transform marks the job as failed to prompt investigation.
+ */
+ S3OutputPath: S3Uri;
+ /**
+ * The MIME type used to specify the output data. Amazon SageMaker uses the MIME type with each http call to transfer data from the transform job.
+ */
+ Accept?: Accept;
+ /**
+ * Defines how to assemble the results of the transform job as a single S3 object. Choose a format that is most convenient to you. To concatenate the results in binary format, specify None. To add a newline character at the end of every transformed record, specify Line.
+ */
+ AssembleWith?: AssemblyType;
+ /**
+ * The AWS Key Management Service (AWS KMS) key that Amazon SageMaker uses to encrypt the model artifacts at rest using Amazon S3 server-side encryption. The KmsKeyId can be any of the following formats: // KMS Key ID "1234abcd-12ab-34cd-56ef-1234567890ab" // Amazon Resource Name (ARN) of a KMS Key "arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab" // KMS Key Alias "alias/ExampleAlias" // Amazon Resource Name (ARN) of a KMS Key Alias "arn:aws:kms:us-west-2:111122223333:alias/ExampleAlias" If you don't provide a KMS key ID, Amazon SageMaker uses the default KMS key for Amazon S3 for your role's account. For more information, see KMS-Managed Encryption Keys in the Amazon Simple Storage Service Developer Guide. The KMS key policy must grant permission to the IAM role that you specify in your CreateModel request. For more information, see Using Key Policies in AWS KMS in the AWS Key Management Service Developer Guide.
+ */
+ KmsKeyId?: KmsKeyId;
+ }
+ export interface TransformResources {
+ /**
+ * The ML compute instance type for the transform job. If you are using built-in algorithms to transform moderately sized datasets, we recommend using ml.m4.xlarge or ml.m5.large instance types.
+ */
+ InstanceType: TransformInstanceType;
+ /**
+ * The number of ML compute instances to use in the transform job. For distributed transform jobs, specify a value greater than 1. The default value is 1.
+ */
+ InstanceCount: TransformInstanceCount;
+ /**
+ * The AWS Key Management Service (AWS KMS) key that Amazon SageMaker uses to encrypt model data on the storage volume attached to the ML compute instance(s) that run the batch transform job. The VolumeKmsKeyId can be any of the following formats: // KMS Key ID "1234abcd-12ab-34cd-56ef-1234567890ab" // Amazon Resource Name (ARN) of a KMS Key "arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab"
+ */
+ VolumeKmsKeyId?: KmsKeyId;
+ }
+ export interface TransformS3DataSource {
+ /**
+ * If you choose S3Prefix, S3Uri identifies a key name prefix. Amazon SageMaker uses all objects with the specified key name prefix for batch transform. If you choose ManifestFile, S3Uri identifies an object that is a manifest file containing a list of object keys that you want Amazon SageMaker to use for batch transform. The following values are compatible: ManifestFile, S3Prefix The following value is not compatible: AugmentedManifestFile
+ */
+ S3DataType: S3DataType;
+ /**
+ * Depending on the value specified for the S3DataType, identifies either a key name prefix or a manifest. For example: A key name prefix might look like this: s3://bucketname/exampleprefix. A manifest might look like this: s3://bucketname/example.manifest The manifest is an S3 object which is a JSON file with the following format: [ {"prefix": "s3://customer_bucket/some/prefix/"}, "relative/path/to/custdata-1", "relative/path/custdata-2", ... "relative/path/custdata-N" ] The preceding JSON matches the following s3Uris: s3://customer_bucket/some/prefix/relative/path/to/custdata-1 s3://customer_bucket/some/prefix/relative/path/custdata-2 ... s3://customer_bucket/some/prefix/relative/path/custdata-N The complete set of S3Uris in this manifest constitutes the input data for the channel for this datasource. The object that each S3Uris points to must be readable by the IAM role that Amazon SageMaker uses to perform tasks on your behalf.
+ */
+ S3Uri: S3Uri;
+ }
+ export interface Trial {
+ /**
+ * The name of the trial.
+ */
+ TrialName?: ExperimentEntityName;
+ /**
+ * The Amazon Resource Name (ARN) of the trial.
+ */
+ TrialArn?: TrialArn;
+ /**
+ * The name of the trial as displayed. If DisplayName isn't specified, TrialName is displayed.
+ */
+ DisplayName?: ExperimentEntityName;
+ /**
+ * The name of the experiment the trial is part of.
+ */
+ ExperimentName?: ExperimentEntityName;
+ Source?: TrialSource;
+ /**
+ * When the trial was created.
+ */
+ CreationTime?: Timestamp;
+ CreatedBy?: UserContext;
+ /**
+ * Who last modified the trial.
+ */
+ LastModifiedTime?: Timestamp;
+ LastModifiedBy?: UserContext;
+ /**
+ * The list of tags that are associated with the trial. You can use Search API to search on the tags.
+ */
+ Tags?: TagList;
+ /**
+ * A list of the components associated with the trial. For each component, a summary of the component's properties is included.
+ */
+ TrialComponentSummaries?: TrialComponentSimpleSummaries;
+ }
+ export type TrialArn = string;
+ export interface TrialComponent {
+ /**
+ * The name of the trial component.
+ */
+ TrialComponentName?: ExperimentEntityName;
+ /**
+ * The name of the component as displayed. If DisplayName isn't specified, TrialComponentName is displayed.
+ */
+ DisplayName?: ExperimentEntityName;
+ /**
+ * The Amazon Resource Name (ARN) of the trial component.
*/
- Completed?: TrainingJobStatusCounter;
+ TrialComponentArn?: TrialComponentArn;
+ Source?: TrialComponentSource;
+ Status?: TrialComponentStatus;
/**
- * The number of in-progress training jobs launched by a hyperparameter tuning job.
+ * When the component started.
*/
- InProgress?: TrainingJobStatusCounter;
+ StartTime?: Timestamp;
/**
- * The number of training jobs that failed, but can be retried. A failed training job can be retried only if it failed because an internal service error occurred.
+ * When the component ended.
*/
- RetryableError?: TrainingJobStatusCounter;
+ EndTime?: Timestamp;
/**
- * The number of training jobs that failed and can't be retried. A failed training job can't be retried if it failed because a client error occurred.
+ * When the component was created.
*/
- NonRetryableError?: TrainingJobStatusCounter;
+ CreationTime?: Timestamp;
+ CreatedBy?: UserContext;
/**
- * The number of training jobs launched by a hyperparameter tuning job that were manually stopped.
+ * When the component was last modified.
*/
- Stopped?: TrainingJobStatusCounter;
- }
- export type TrainingJobSummaries = TrainingJobSummary[];
- export interface TrainingJobSummary {
+ LastModifiedTime?: Timestamp;
+ LastModifiedBy?: UserContext;
/**
- * The name of the training job that you want a summary for.
+ * The hyperparameters of the component.
*/
- TrainingJobName: TrainingJobName;
+ Parameters?: TrialComponentParameters;
/**
- * The Amazon Resource Name (ARN) of the training job.
+ * The input artifacts of the component.
*/
- TrainingJobArn: TrainingJobArn;
+ InputArtifacts?: TrialComponentArtifacts;
/**
- * A timestamp that shows when the training job was created.
+ * The output artifacts of the component.
*/
- CreationTime: Timestamp;
+ OutputArtifacts?: TrialComponentArtifacts;
/**
- * A timestamp that shows when the training job ended. This field is set only if the training job has one of the terminal statuses (Completed, Failed, or Stopped).
+ * The metrics for the component.
*/
- TrainingEndTime?: Timestamp;
+ Metrics?: TrialComponentMetricSummaries;
/**
- * Timestamp when the training job was last modified.
+ * The source of the trial component.>
*/
- LastModifiedTime?: Timestamp;
+ SourceDetail?: TrialComponentSourceDetail;
/**
- * The status of the training job.
+ * The list of tags that are associated with the component. You can use Search API to search on the tags.
*/
- TrainingJobStatus: TrainingJobStatus;
+ Tags?: TagList;
+ /**
+ * An array of the parents of the component. A parent is a trial the component is associated with and the experiment the trial is part of. A component might not have any parents.
+ */
+ Parents?: Parents;
}
- export interface TrainingSpecification {
+ export type TrialComponentArn = string;
+ export interface TrialComponentArtifact {
/**
- * The Amazon ECR registry path of the Docker image that contains the training algorithm.
+ * The media type of the artifact, which indicates the type of data in the artifact file. The media type consists of a type and a subtype concatenated with a slash (/) character, for example, text/csv, image/jpeg, and s3/uri. The type specifies the category of the media. The subtype specifies the kind of data.
*/
- TrainingImage: Image;
+ MediaType?: MediaType;
/**
- * An MD5 hash of the training algorithm that identifies the Docker image used for training.
+ * The location of the artifact.
*/
- TrainingImageDigest?: ImageDigest;
+ Value: TrialComponentArtifactValue;
+ }
+ export type TrialComponentArtifactValue = string;
+ export type TrialComponentArtifacts = {[key: string]: TrialComponentArtifact};
+ export type TrialComponentKey256 = string;
+ export type TrialComponentKey64 = string;
+ export type TrialComponentMetricSummaries = TrialComponentMetricSummary[];
+ export interface TrialComponentMetricSummary {
/**
- * A list of the HyperParameterSpecification objects, that define the supported hyperparameters. This is required if the algorithm supports automatic model tuning.>
+ * The name of the metric.
*/
- SupportedHyperParameters?: HyperParameterSpecifications;
+ MetricName?: MetricName;
/**
- * A list of the instance types that this algorithm can use for training.
+ * The Amazon Resource Name (ARN) of the source.
*/
- SupportedTrainingInstanceTypes: TrainingInstanceTypes;
+ SourceArn?: TrialComponentSourceArn;
/**
- * Indicates whether the algorithm supports distributed training. If set to false, buyers can’t request more than one instance during training.
+ * When the metric was last updated.
*/
- SupportsDistributedTraining?: Boolean;
+ TimeStamp?: Timestamp;
/**
- * A list of MetricDefinition objects, which are used for parsing metrics generated by the algorithm.
+ * The maximum value of the metric.
*/
- MetricDefinitions?: MetricDefinitionList;
+ Max?: OptionalDouble;
/**
- * A list of ChannelSpecification objects, which specify the input sources to be used by the algorithm.
+ * The minimum value of the metric.
*/
- TrainingChannels: ChannelSpecifications;
+ Min?: OptionalDouble;
/**
- * A list of the metrics that the algorithm emits that can be used as the objective metric in a hyperparameter tuning job.
+ * The most recent value of the metric.
*/
- SupportedTuningJobObjectiveMetrics?: HyperParameterTuningJobObjectives;
- }
- export type TrainingTimeInSeconds = number;
- export interface TransformDataSource {
+ Last?: OptionalDouble;
/**
- * The S3 location of the data source that is associated with a channel.
+ * The number of samples used to generate the metric.
*/
- S3DataSource: TransformS3DataSource;
- }
- export type TransformEnvironmentKey = string;
- export type TransformEnvironmentMap = {[key: string]: TransformEnvironmentValue};
- export type TransformEnvironmentValue = string;
- export interface TransformInput {
+ Count?: OptionalInteger;
/**
- * Describes the location of the channel data, which is, the S3 location of the input data that the model can consume.
+ * The average value of the metric.
*/
- DataSource: TransformDataSource;
+ Avg?: OptionalDouble;
/**
- * The multipurpose internet mail extension (MIME) type of the data. Amazon SageMaker uses the MIME type with each http call to transfer data to the transform job.
+ * The standard deviation of the metric.
*/
- ContentType?: ContentType;
+ StdDev?: OptionalDouble;
+ }
+ export interface TrialComponentParameterValue {
/**
- * If your transform data is compressed, specify the compression type. Amazon SageMaker automatically decompresses the data for the transform job accordingly. The default value is None.
+ * The string value of a categorical hyperparameter. If you specify a value for this parameter, you can't specify the NumberValue parameter.
*/
- CompressionType?: CompressionType;
+ StringValue?: StringParameterValue;
/**
- * The method to use to split the transform job's data files into smaller batches. Splitting is necessary when the total size of each object is too large to fit in a single request. You can also use data splitting to improve performance by processing multiple concurrent mini-batches. The default value for SplitType is None, which indicates that input data files are not split, and request payloads contain the entire contents of an input object. Set the value of this parameter to Line to split records on a newline character boundary. SplitType also supports a number of record-oriented binary data formats. When splitting is enabled, the size of a mini-batch depends on the values of the BatchStrategy and MaxPayloadInMB parameters. When the value of BatchStrategy is MultiRecord, Amazon SageMaker sends the maximum number of records in each request, up to the MaxPayloadInMB limit. If the value of BatchStrategy is SingleRecord, Amazon SageMaker sends individual records in each request. Some data formats represent a record as a binary payload wrapped with extra padding bytes. When splitting is applied to a binary data format, padding is removed if the value of BatchStrategy is set to SingleRecord. Padding is not removed if the value of BatchStrategy is set to MultiRecord. For more information about RecordIO, see Create a Dataset Using RecordIO in the MXNet documentation. For more information about TFRecord, see Consuming TFRecord data in the TensorFlow documentation.
+ * The numeric value of a numeric hyperparameter. If you specify a value for this parameter, you can't specify the StringValue parameter.
*/
- SplitType?: SplitType;
+ NumberValue?: DoubleParameterValue;
}
- export type TransformInstanceCount = number;
- export type TransformInstanceType = "ml.m4.xlarge"|"ml.m4.2xlarge"|"ml.m4.4xlarge"|"ml.m4.10xlarge"|"ml.m4.16xlarge"|"ml.c4.xlarge"|"ml.c4.2xlarge"|"ml.c4.4xlarge"|"ml.c4.8xlarge"|"ml.p2.xlarge"|"ml.p2.8xlarge"|"ml.p2.16xlarge"|"ml.p3.2xlarge"|"ml.p3.8xlarge"|"ml.p3.16xlarge"|"ml.c5.xlarge"|"ml.c5.2xlarge"|"ml.c5.4xlarge"|"ml.c5.9xlarge"|"ml.c5.18xlarge"|"ml.m5.large"|"ml.m5.xlarge"|"ml.m5.2xlarge"|"ml.m5.4xlarge"|"ml.m5.12xlarge"|"ml.m5.24xlarge"|string;
- export type TransformInstanceTypes = TransformInstanceType[];
- export type TransformJobArn = string;
- export interface TransformJobDefinition {
+ export type TrialComponentParameters = {[key: string]: TrialComponentParameterValue};
+ export type TrialComponentPrimaryStatus = "InProgress"|"Completed"|"Failed"|string;
+ export type TrialComponentSimpleSummaries = TrialComponentSimpleSummary[];
+ export interface TrialComponentSimpleSummary {
/**
- * The maximum number of parallel requests that can be sent to each instance in a transform job. The default value is 1.
+ * The name of the trial component.
*/
- MaxConcurrentTransforms?: MaxConcurrentTransforms;
+ TrialComponentName?: ExperimentEntityName;
/**
- * The maximum payload size allowed, in MB. A payload is the data portion of a record (without metadata).
+ * The Amazon Resource Name (ARN) of the trial component.
*/
- MaxPayloadInMB?: MaxPayloadInMB;
+ TrialComponentArn?: TrialComponentArn;
+ TrialComponentSource?: TrialComponentSource;
/**
- * A string that determines the number of records included in a single mini-batch. SingleRecord means only one record is used per mini-batch. MultiRecord means a mini-batch is set to contain as many records that can fit within the MaxPayloadInMB limit.
+ * When the component was created.
*/
- BatchStrategy?: BatchStrategy;
+ CreationTime?: Timestamp;
+ CreatedBy?: UserContext;
+ }
+ export interface TrialComponentSource {
/**
- * The environment variables to set in the Docker container. We support up to 16 key and values entries in the map.
+ * The Amazon Resource Name (ARN) of the source.
*/
- Environment?: TransformEnvironmentMap;
+ SourceArn: TrialComponentSourceArn;
/**
- * A description of the input source and the way the transform job consumes it.
+ * The source job type.
*/
- TransformInput: TransformInput;
+ SourceType?: SourceType;
+ }
+ export type TrialComponentSourceArn = string;
+ export interface TrialComponentSourceDetail {
/**
- * Identifies the Amazon S3 location where you want Amazon SageMaker to save the results from the transform job.
+ * The Amazon Resource Name (ARN) of the source.
*/
- TransformOutput: TransformOutput;
+ SourceArn?: TrialComponentSourceArn;
+ TrainingJob?: TrainingJob;
+ }
+ export interface TrialComponentStatus {
/**
- * Identifies the ML compute instances for the transform job.
+ * The status of the trial component.
*/
- TransformResources: TransformResources;
+ PrimaryStatus?: TrialComponentPrimaryStatus;
+ /**
+ * If the component failed, a message describing why.
+ */
+ Message?: TrialComponentStatusMessage;
}
- export type TransformJobName = string;
- export type TransformJobStatus = "InProgress"|"Completed"|"Failed"|"Stopping"|"Stopped"|string;
- export type TransformJobSummaries = TransformJobSummary[];
- export interface TransformJobSummary {
+ export type TrialComponentStatusMessage = string;
+ export type TrialComponentSummaries = TrialComponentSummary[];
+ export interface TrialComponentSummary {
/**
- * The name of the transform job.
+ * The name of the trial component.
*/
- TransformJobName: TransformJobName;
+ TrialComponentName?: ExperimentEntityName;
/**
- * The Amazon Resource Name (ARN) of the transform job.
+ * The ARN of the trial component.
*/
- TransformJobArn: TransformJobArn;
+ TrialComponentArn?: TrialComponentArn;
/**
- * A timestamp that shows when the transform Job was created.
+ * The name of the component as displayed. If DisplayName isn't specified, TrialComponentName is displayed.
*/
- CreationTime: Timestamp;
+ DisplayName?: ExperimentEntityName;
+ TrialComponentSource?: TrialComponentSource;
/**
- * Indicates when the transform job ends on compute instances. For successful jobs and stopped jobs, this is the exact time recorded after the results are uploaded. For failed jobs, this is when Amazon SageMaker detected that the job failed.
+ * The status of the component. States include: InProgress Completed Failed
*/
- TransformEndTime?: Timestamp;
+ Status?: TrialComponentStatus;
/**
- * Indicates when the transform job was last modified.
+ * When the component started.
*/
- LastModifiedTime?: Timestamp;
+ StartTime?: Timestamp;
/**
- * The status of the transform job.
+ * When the component ended.
*/
- TransformJobStatus: TransformJobStatus;
+ EndTime?: Timestamp;
/**
- * If the transform job failed, the reason it failed.
+ * When the component was created.
*/
- FailureReason?: FailureReason;
- }
- export interface TransformOutput {
+ CreationTime?: Timestamp;
/**
- * The Amazon S3 path where you want Amazon SageMaker to store the results of the transform job. For example, s3://bucket-name/key-name-prefix. For every S3 object used as input for the transform job, batch transform stores the transformed data with an .out suffix in a corresponding subfolder in the location in the output prefix. For example, for the input data stored at s3://bucket-name/input-name-prefix/dataset01/data.csv, batch transform stores the transformed data at s3://bucket-name/output-name-prefix/input-name-prefix/data.csv.out. Batch transform doesn't upload partially processed objects. For an input S3 object that contains multiple records, it creates an .out file only if the transform job succeeds on the entire file. When the input contains multiple S3 objects, the batch transform job processes the listed S3 objects and uploads only the output for successfully processed objects. If any object fails in the transform job batch transform marks the job as failed to prompt investigation.
+ * Who created the component.
*/
- S3OutputPath: S3Uri;
+ CreatedBy?: UserContext;
/**
- * The MIME type used to specify the output data. Amazon SageMaker uses the MIME type with each http call to transfer data from the transform job.
+ * When the component was last modified.
*/
- Accept?: Accept;
+ LastModifiedTime?: Timestamp;
/**
- * Defines how to assemble the results of the transform job as a single S3 object. Choose a format that is most convenient to you. To concatenate the results in binary format, specify None. To add a newline character at the end of every transformed record, specify Line.
+ * Who last modified the component.
*/
- AssembleWith?: AssemblyType;
+ LastModifiedBy?: UserContext;
+ }
+ export interface TrialSource {
/**
- * The AWS Key Management Service (AWS KMS) key that Amazon SageMaker uses to encrypt the model artifacts at rest using Amazon S3 server-side encryption. The KmsKeyId can be any of the following formats: // KMS Key ID "1234abcd-12ab-34cd-56ef-1234567890ab" // Amazon Resource Name (ARN) of a KMS Key "arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab" // KMS Key Alias "alias/ExampleAlias" // Amazon Resource Name (ARN) of a KMS Key Alias "arn:aws:kms:us-west-2:111122223333:alias/ExampleAlias" If you don't provide a KMS key ID, Amazon SageMaker uses the default KMS key for Amazon S3 for your role's account. For more information, see KMS-Managed Encryption Keys in the Amazon Simple Storage Service Developer Guide. The KMS key policy must grant permission to the IAM role that you specify in your CreateModel request. For more information, see Using Key Policies in AWS KMS in the AWS Key Management Service Developer Guide.
+ * The Amazon Resource Name (ARN) of the source.
*/
- KmsKeyId?: KmsKeyId;
+ SourceArn: TrialSourceArn;
+ /**
+ * The source job type.
+ */
+ SourceType?: SourceType;
}
- export interface TransformResources {
+ export type TrialSourceArn = string;
+ export type TrialSummaries = TrialSummary[];
+ export interface TrialSummary {
/**
- * The ML compute instance type for the transform job. If you are using built-in algorithms to transform moderately sized datasets, we recommend using ml.m4.xlarge or ml.m5.large instance types.
+ * The Amazon Resource Name (ARN) of the trial.
*/
- InstanceType: TransformInstanceType;
+ TrialArn?: TrialArn;
/**
- * The number of ML compute instances to use in the transform job. For distributed transform jobs, specify a value greater than 1. The default value is 1.
+ * The name of the trial.
*/
- InstanceCount: TransformInstanceCount;
+ TrialName?: ExperimentEntityName;
/**
- * The AWS Key Management Service (AWS KMS) key that Amazon SageMaker uses to encrypt data on the storage volume attached to the ML compute instance(s) that run the batch transform job. The VolumeKmsKeyId can be any of the following formats: // KMS Key ID "1234abcd-12ab-34cd-56ef-1234567890ab" // Amazon Resource Name (ARN) of a KMS Key "arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab"
+ * The name of the trial as displayed. If DisplayName isn't specified, TrialName is displayed.
*/
- VolumeKmsKeyId?: KmsKeyId;
- }
- export interface TransformS3DataSource {
+ DisplayName?: ExperimentEntityName;
+ TrialSource?: TrialSource;
/**
- * If you choose S3Prefix, S3Uri identifies a key name prefix. Amazon SageMaker uses all objects with the specified key name prefix for batch transform. If you choose ManifestFile, S3Uri identifies an object that is a manifest file containing a list of object keys that you want Amazon SageMaker to use for batch transform. The following values are compatible: ManifestFile, S3Prefix The following value is not compatible: AugmentedManifestFile
+ * When the trial was created.
*/
- S3DataType: S3DataType;
+ CreationTime?: Timestamp;
/**
- * Depending on the value specified for the S3DataType, identifies either a key name prefix or a manifest. For example: A key name prefix might look like this: s3://bucketname/exampleprefix. A manifest might look like this: s3://bucketname/example.manifest The manifest is an S3 object which is a JSON file with the following format: [ {"prefix": "s3://customer_bucket/some/prefix/"}, "relative/path/to/custdata-1", "relative/path/custdata-2", ... "relative/path/custdata-N" ] The preceding JSON matches the following s3Uris: s3://customer_bucket/some/prefix/relative/path/to/custdata-1 s3://customer_bucket/some/prefix/relative/path/custdata-2 ... s3://customer_bucket/some/prefix/relative/path/custdata-N The complete set of S3Uris in this manifest constitutes the input data for the channel for this datasource. The object that each S3Uris points to must be readable by the IAM role that Amazon SageMaker uses to perform tasks on your behalf.
+ * When the trial was last modified.
*/
- S3Uri: S3Uri;
+ LastModifiedTime?: Timestamp;
+ }
+ export interface TuningJobCompletionCriteria {
+ /**
+ * The objective metric's value.
+ */
+ TargetObjectiveMetricValue: TargetObjectiveMetricValue;
}
export interface USD {
/**
@@ -5094,6 +8854,16 @@ declare namespace SageMaker {
*/
Content: TemplateContent;
}
+ export interface UiTemplateInfo {
+ /**
+ * The URL for the user interface template.
+ */
+ Url?: TemplateUrl;
+ /**
+ * The SHA 256 hash that you used to create the request signature.
+ */
+ ContentSha256?: TemplateContentSha256;
+ }
export interface UpdateCodeRepositoryInput {
/**
* The name of the Git repository to update.
@@ -5110,6 +8880,22 @@ declare namespace SageMaker {
*/
CodeRepositoryArn: CodeRepositoryArn;
}
+ export interface UpdateDomainRequest {
+ /**
+ * The domain ID.
+ */
+ DomainId: DomainId;
+ /**
+ * A collection of settings.
+ */
+ DefaultUserSettings?: UserSettings;
+ }
+ export interface UpdateDomainResponse {
+ /**
+ * The domain Amazon Resource Name (ARN).
+ */
+ DomainArn?: DomainArn;
+ }
export interface UpdateEndpointInput {
/**
* The name of the endpoint whose configuration you want to update.
@@ -5142,6 +8928,42 @@ declare namespace SageMaker {
*/
EndpointArn: EndpointArn;
}
+ export interface UpdateExperimentRequest {
+ /**
+ * The name of the experiment to update.
+ */
+ ExperimentName: ExperimentEntityName;
+ /**
+ * The name of the experiment as displayed. The name doesn't need to be unique. If DisplayName isn't specified, ExperimentName is displayed.
+ */
+ DisplayName?: ExperimentEntityName;
+ /**
+ * The description of the experiment.
+ */
+ Description?: ExperimentDescription;
+ }
+ export interface UpdateExperimentResponse {
+ /**
+ * The Amazon Resource Name (ARN) of the experiment.
+ */
+ ExperimentArn?: ExperimentArn;
+ }
+ export interface UpdateMonitoringScheduleRequest {
+ /**
+ * The name of the monitoring schedule. The name must be unique within an AWS Region within an AWS account.
+ */
+ MonitoringScheduleName: MonitoringScheduleName;
+ /**
+ * The configuration object that specifies the monitoring schedule and defines the monitoring job.
+ */
+ MonitoringScheduleConfig: MonitoringScheduleConfig;
+ }
+ export interface UpdateMonitoringScheduleResponse {
+ /**
+ * The Amazon Resource Name (ARN) of the monitoring schedule.
+ */
+ MonitoringScheduleArn: MonitoringScheduleArn;
+ }
export interface UpdateNotebookInstanceInput {
/**
* The name of the notebook instance to update.
@@ -5214,6 +9036,94 @@ declare namespace SageMaker {
}
export interface UpdateNotebookInstanceOutput {
}
+ export interface UpdateTrialComponentRequest {
+ /**
+ * The name of the component to update.
+ */
+ TrialComponentName: ExperimentEntityName;
+ /**
+ * The name of the component as displayed. The name doesn't need to be unique. If DisplayName isn't specified, TrialComponentName is displayed.
+ */
+ DisplayName?: ExperimentEntityName;
+ /**
+ * The new status of the component.
+ */
+ Status?: TrialComponentStatus;
+ /**
+ * When the component started.
+ */
+ StartTime?: Timestamp;
+ /**
+ * When the component ended.
+ */
+ EndTime?: Timestamp;
+ /**
+ * Replaces all of the component's hyperparameters with the specified hyperparameters.
+ */
+ Parameters?: TrialComponentParameters;
+ /**
+ * The hyperparameters to remove from the component.
+ */
+ ParametersToRemove?: ListTrialComponentKey256;
+ /**
+ * Replaces all of the component's input artifacts with the specified artifacts.
+ */
+ InputArtifacts?: TrialComponentArtifacts;
+ /**
+ * The input artifacts to remove from the component.
+ */
+ InputArtifactsToRemove?: ListTrialComponentKey256;
+ /**
+ * Replaces all of the component's output artifacts with the specified artifacts.
+ */
+ OutputArtifacts?: TrialComponentArtifacts;
+ /**
+ * The output artifacts to remove from the component.
+ */
+ OutputArtifactsToRemove?: ListTrialComponentKey256;
+ }
+ export interface UpdateTrialComponentResponse {
+ /**
+ * The Amazon Resource Name (ARN) of the trial component.
+ */
+ TrialComponentArn?: TrialComponentArn;
+ }
+ export interface UpdateTrialRequest {
+ /**
+ * The name of the trial to update.
+ */
+ TrialName: ExperimentEntityName;
+ /**
+ * The name of the trial as displayed. The name doesn't need to be unique. If DisplayName isn't specified, TrialName is displayed.
+ */
+ DisplayName?: ExperimentEntityName;
+ }
+ export interface UpdateTrialResponse {
+ /**
+ * The Amazon Resource Name (ARN) of the trial.
+ */
+ TrialArn?: TrialArn;
+ }
+ export interface UpdateUserProfileRequest {
+ /**
+ * The domain ID.
+ */
+ DomainId: DomainId;
+ /**
+ * The user profile name.
+ */
+ UserProfileName: UserProfileName;
+ /**
+ * A collection of settings.
+ */
+ UserSettings?: UserSettings;
+ }
+ export interface UpdateUserProfileResponse {
+ /**
+ * The user profile Amazon Resource Name (ARN).
+ */
+ UserProfileArn?: UserProfileArn;
+ }
export interface UpdateWorkteamRequest {
/**
* The name of the work team to update.
@@ -5239,6 +9149,73 @@ declare namespace SageMaker {
Workteam: Workteam;
}
export type Url = string;
+ export interface UserContext {
+ /**
+ * The Amazon Resource Name (ARN) of the user's profile.
+ */
+ UserProfileArn?: String;
+ /**
+ * The name of the user's profile.
+ */
+ UserProfileName?: String;
+ /**
+ * The domain associated with the user.
+ */
+ DomainId?: String;
+ }
+ export type UserProfileArn = string;
+ export interface UserProfileDetails {
+ /**
+ * The domain ID.
+ */
+ DomainId?: DomainId;
+ /**
+ * The user profile name.
+ */
+ UserProfileName?: UserProfileName;
+ /**
+ * The status.
+ */
+ Status?: UserProfileStatus;
+ /**
+ * The creation time.
+ */
+ CreationTime?: CreationTime;
+ /**
+ * The last modified time.
+ */
+ LastModifiedTime?: LastModifiedTime;
+ }
+ export type UserProfileList = UserProfileDetails[];
+ export type UserProfileName = string;
+ export type UserProfileSortKey = "CreationTime"|"LastModifiedTime"|string;
+ export type UserProfileStatus = "Deleting"|"Failed"|"InService"|"Pending"|string;
+ export interface UserSettings {
+ /**
+ * The execution role for the user.
+ */
+ ExecutionRole?: RoleArn;
+ /**
+ * The security groups.
+ */
+ SecurityGroups?: SecurityGroupIds;
+ /**
+ * The sharing settings.
+ */
+ SharingSettings?: SharingSettings;
+ /**
+ * The Jupyter server's app settings.
+ */
+ JupyterServerAppSettings?: JupyterServerAppSettings;
+ /**
+ * The kernel gateway app settings.
+ */
+ KernelGatewayAppSettings?: KernelGatewayAppSettings;
+ /**
+ * The TensorBoard app settings.
+ */
+ TensorBoardAppSettings?: TensorBoardAppSettings;
+ }
export type VariantName = string;
export type VariantWeight = number;
export type VolumeSizeInGB = number;
@@ -5252,6 +9229,7 @@ declare namespace SageMaker {
*/
Subnets: Subnets;
}
+ export type VpcId = string;
export type VpcSecurityGroupIds = SecurityGroupId[];
export interface Workteam {
/**
diff --git a/clients/stepfunctions.d.ts b/clients/stepfunctions.d.ts
index 142497d9d1..cab740b7cd 100644
--- a/clients/stepfunctions.d.ts
+++ b/clients/stepfunctions.d.ts
@@ -265,6 +265,12 @@ declare namespace StepFunctions {
cause?: SensitiveCause;
}
export type Arn = string;
+ export interface CloudWatchLogsLogGroup {
+ /**
+ * The ARN of the the CloudWatch log group to which you want your logs emitted to. The ARN must end with :*
+ */
+ logGroupArn?: Arn;
+ }
export type ConnectorParameters = string;
export interface CreateActivityInput {
/**
@@ -299,6 +305,14 @@ declare namespace StepFunctions {
* The Amazon Resource Name (ARN) of the IAM role to use for this state machine.
*/
roleArn: Arn;
+ /**
+ * Determines whether a Standard or Express state machine is created. If not set, Standard is created.
+ */
+ type?: StateMachineType;
+ /**
+ * Defines what execution history events are logged and where they are logged.
+ */
+ loggingConfiguration?: LoggingConfiguration;
/**
* Tags to be added when creating a state machine. An array of key-value pairs. For more information, see Using Cost Allocation Tags in the AWS Billing and Cost Management User Guide, and Controlling Access Using IAM Tags. Tags may only contain Unicode letters, digits, white space, or these symbols: _ . : / = + - @.
*/
@@ -446,10 +460,18 @@ declare namespace StepFunctions {
* The Amazon Resource Name (ARN) of the IAM role used when creating this state machine. (The IAM role maintains security by granting Step Functions access to AWS resources.)
*/
roleArn: Arn;
+ /**
+ *
+ */
+ type: StateMachineType;
/**
* The date the state machine is created.
*/
creationDate: Timestamp;
+ /**
+ *
+ */
+ loggingConfiguration?: LoggingConfiguration;
}
export type EventId = number;
export interface ExecutionAbortedEventDetails {
@@ -675,6 +697,7 @@ declare namespace StepFunctions {
export type HistoryEventList = HistoryEvent[];
export type HistoryEventType = "ActivityFailed"|"ActivityScheduled"|"ActivityScheduleFailed"|"ActivityStarted"|"ActivitySucceeded"|"ActivityTimedOut"|"ChoiceStateEntered"|"ChoiceStateExited"|"ExecutionAborted"|"ExecutionFailed"|"ExecutionStarted"|"ExecutionSucceeded"|"ExecutionTimedOut"|"FailStateEntered"|"LambdaFunctionFailed"|"LambdaFunctionScheduled"|"LambdaFunctionScheduleFailed"|"LambdaFunctionStarted"|"LambdaFunctionStartFailed"|"LambdaFunctionSucceeded"|"LambdaFunctionTimedOut"|"MapIterationAborted"|"MapIterationFailed"|"MapIterationStarted"|"MapIterationSucceeded"|"MapStateAborted"|"MapStateEntered"|"MapStateExited"|"MapStateFailed"|"MapStateStarted"|"MapStateSucceeded"|"ParallelStateAborted"|"ParallelStateEntered"|"ParallelStateExited"|"ParallelStateFailed"|"ParallelStateStarted"|"ParallelStateSucceeded"|"PassStateEntered"|"PassStateExited"|"SucceedStateEntered"|"SucceedStateExited"|"TaskFailed"|"TaskScheduled"|"TaskStarted"|"TaskStartFailed"|"TaskStateAborted"|"TaskStateEntered"|"TaskStateExited"|"TaskSubmitFailed"|"TaskSubmitted"|"TaskSucceeded"|"TaskTimedOut"|"WaitStateAborted"|"WaitStateEntered"|"WaitStateExited"|string;
export type Identity = string;
+ export type IncludeExecutionData = boolean;
export interface LambdaFunctionFailedEventDetails {
/**
* The error code of the failure.
@@ -813,6 +836,28 @@ declare namespace StepFunctions {
*/
tags?: TagList;
}
+ export interface LogDestination {
+ /**
+ * An object describing a CloudWatch log group. For more information, see AWS::Logs::LogGroup in the AWS CloudFormation User Guide.
+ */
+ cloudWatchLogsLogGroup?: CloudWatchLogsLogGroup;
+ }
+ export type LogDestinationList = LogDestination[];
+ export type LogLevel = "ALL"|"ERROR"|"FATAL"|"OFF"|string;
+ export interface LoggingConfiguration {
+ /**
+ * Defines which category of execution history events are logged.
+ */
+ level?: LogLevel;
+ /**
+ * Determines whether execution history data is included in your log. When set to FALSE, data is excluded.
+ */
+ includeExecutionData?: IncludeExecutionData;
+ /**
+ * An object that describes where your execution history events will be logged. Limited to size 1. Required, if your log level is not set to OFF.
+ */
+ destinations?: LogDestinationList;
+ }
export interface MapIterationEventDetails {
/**
* The name of the iteration’s parent Map state.
@@ -927,12 +972,17 @@ declare namespace StepFunctions {
* The name of the state machine. A name must not contain: white space brackets < > { } [ ] wildcard characters ? * special characters " # % \ ^ | ~ ` $ & , ; : / control characters (U+0000-001F, U+007F-009F)
*/
name: Name;
+ /**
+ *
+ */
+ type: StateMachineType;
/**
* The date the state machine is created.
*/
creationDate: Timestamp;
}
export type StateMachineStatus = "ACTIVE"|"DELETING"|string;
+ export type StateMachineType = "STANDARD"|"EXPRESS"|string;
export interface StopExecutionInput {
/**
* The Amazon Resource Name (ARN) of the execution to stop.
@@ -1140,6 +1190,10 @@ declare namespace StepFunctions {
* The Amazon Resource Name (ARN) of the IAM role of the state machine.
*/
roleArn?: Arn;
+ /**
+ *
+ */
+ loggingConfiguration?: LoggingConfiguration;
}
export interface UpdateStateMachineOutput {
/**
diff --git a/dist/aws-sdk-core-react-native.js b/dist/aws-sdk-core-react-native.js
index ea11dbd889..aa2551fd04 100644
--- a/dist/aws-sdk-core-react-native.js
+++ b/dist/aws-sdk-core-react-native.js
@@ -83,7 +83,7 @@ return /******/ (function(modules) { // webpackBootstrap
/**
* @constant
*/
- VERSION: '2.583.0',
+ VERSION: '2.584.0',
/**
* @api private
@@ -1678,7 +1678,7 @@ return /******/ (function(modules) { // webpackBootstrap
/* 7 */
/***/ (function(module, exports) {
- module.exports = {"acm":{"name":"ACM","cors":true},"apigateway":{"name":"APIGateway","cors":true},"applicationautoscaling":{"prefix":"application-autoscaling","name":"ApplicationAutoScaling","cors":true},"appstream":{"name":"AppStream"},"autoscaling":{"name":"AutoScaling","cors":true},"batch":{"name":"Batch"},"budgets":{"name":"Budgets"},"clouddirectory":{"name":"CloudDirectory","versions":["2016-05-10*"]},"cloudformation":{"name":"CloudFormation","cors":true},"cloudfront":{"name":"CloudFront","versions":["2013-05-12*","2013-11-11*","2014-05-31*","2014-10-21*","2014-11-06*","2015-04-17*","2015-07-27*","2015-09-17*","2016-01-13*","2016-01-28*","2016-08-01*","2016-08-20*","2016-09-07*","2016-09-29*","2016-11-25*","2017-03-25*","2017-10-30*","2018-06-18*","2018-11-05*"],"cors":true},"cloudhsm":{"name":"CloudHSM","cors":true},"cloudsearch":{"name":"CloudSearch"},"cloudsearchdomain":{"name":"CloudSearchDomain"},"cloudtrail":{"name":"CloudTrail","cors":true},"cloudwatch":{"prefix":"monitoring","name":"CloudWatch","cors":true},"cloudwatchevents":{"prefix":"events","name":"CloudWatchEvents","versions":["2014-02-03*"],"cors":true},"cloudwatchlogs":{"prefix":"logs","name":"CloudWatchLogs","cors":true},"codebuild":{"name":"CodeBuild","cors":true},"codecommit":{"name":"CodeCommit","cors":true},"codedeploy":{"name":"CodeDeploy","cors":true},"codepipeline":{"name":"CodePipeline","cors":true},"cognitoidentity":{"prefix":"cognito-identity","name":"CognitoIdentity","cors":true},"cognitoidentityserviceprovider":{"prefix":"cognito-idp","name":"CognitoIdentityServiceProvider","cors":true},"cognitosync":{"prefix":"cognito-sync","name":"CognitoSync","cors":true},"configservice":{"prefix":"config","name":"ConfigService","cors":true},"cur":{"name":"CUR","cors":true},"datapipeline":{"name":"DataPipeline"},"devicefarm":{"name":"DeviceFarm","cors":true},"directconnect":{"name":"DirectConnect","cors":true},"directoryservice":{"prefix":"ds","name":"DirectoryService"},"discovery":{"name":"Discovery"},"dms":{"name":"DMS"},"dynamodb":{"name":"DynamoDB","cors":true},"dynamodbstreams":{"prefix":"streams.dynamodb","name":"DynamoDBStreams","cors":true},"ec2":{"name":"EC2","versions":["2013-06-15*","2013-10-15*","2014-02-01*","2014-05-01*","2014-06-15*","2014-09-01*","2014-10-01*","2015-03-01*","2015-04-15*","2015-10-01*","2016-04-01*","2016-09-15*"],"cors":true},"ecr":{"name":"ECR","cors":true},"ecs":{"name":"ECS","cors":true},"efs":{"prefix":"elasticfilesystem","name":"EFS","cors":true},"elasticache":{"name":"ElastiCache","versions":["2012-11-15*","2014-03-24*","2014-07-15*","2014-09-30*"],"cors":true},"elasticbeanstalk":{"name":"ElasticBeanstalk","cors":true},"elb":{"prefix":"elasticloadbalancing","name":"ELB","cors":true},"elbv2":{"prefix":"elasticloadbalancingv2","name":"ELBv2","cors":true},"emr":{"prefix":"elasticmapreduce","name":"EMR","cors":true},"es":{"name":"ES"},"elastictranscoder":{"name":"ElasticTranscoder","cors":true},"firehose":{"name":"Firehose","cors":true},"gamelift":{"name":"GameLift","cors":true},"glacier":{"name":"Glacier"},"health":{"name":"Health"},"iam":{"name":"IAM","cors":true},"importexport":{"name":"ImportExport"},"inspector":{"name":"Inspector","versions":["2015-08-18*"],"cors":true},"iot":{"name":"Iot","cors":true},"iotdata":{"prefix":"iot-data","name":"IotData","cors":true},"kinesis":{"name":"Kinesis","cors":true},"kinesisanalytics":{"name":"KinesisAnalytics"},"kms":{"name":"KMS","cors":true},"lambda":{"name":"Lambda","cors":true},"lexruntime":{"prefix":"runtime.lex","name":"LexRuntime","cors":true},"lightsail":{"name":"Lightsail"},"machinelearning":{"name":"MachineLearning","cors":true},"marketplacecommerceanalytics":{"name":"MarketplaceCommerceAnalytics","cors":true},"marketplacemetering":{"prefix":"meteringmarketplace","name":"MarketplaceMetering"},"mturk":{"prefix":"mturk-requester","name":"MTurk","cors":true},"mobileanalytics":{"name":"MobileAnalytics","cors":true},"opsworks":{"name":"OpsWorks","cors":true},"opsworkscm":{"name":"OpsWorksCM"},"organizations":{"name":"Organizations"},"pinpoint":{"name":"Pinpoint"},"polly":{"name":"Polly","cors":true},"rds":{"name":"RDS","versions":["2014-09-01*"],"cors":true},"redshift":{"name":"Redshift","cors":true},"rekognition":{"name":"Rekognition","cors":true},"resourcegroupstaggingapi":{"name":"ResourceGroupsTaggingAPI"},"route53":{"name":"Route53","cors":true},"route53domains":{"name":"Route53Domains","cors":true},"s3":{"name":"S3","dualstackAvailable":true,"cors":true},"s3control":{"name":"S3Control","dualstackAvailable":true},"servicecatalog":{"name":"ServiceCatalog","cors":true},"ses":{"prefix":"email","name":"SES","cors":true},"shield":{"name":"Shield"},"simpledb":{"prefix":"sdb","name":"SimpleDB"},"sms":{"name":"SMS"},"snowball":{"name":"Snowball"},"sns":{"name":"SNS","cors":true},"sqs":{"name":"SQS","cors":true},"ssm":{"name":"SSM","cors":true},"storagegateway":{"name":"StorageGateway","cors":true},"stepfunctions":{"prefix":"states","name":"StepFunctions"},"sts":{"name":"STS","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+ module.exports = {"acm":{"name":"ACM","cors":true},"apigateway":{"name":"APIGateway","cors":true},"applicationautoscaling":{"prefix":"application-autoscaling","name":"ApplicationAutoScaling","cors":true},"appstream":{"name":"AppStream"},"autoscaling":{"name":"AutoScaling","cors":true},"batch":{"name":"Batch"},"budgets":{"name":"Budgets"},"clouddirectory":{"name":"CloudDirectory","versions":["2016-05-10*"]},"cloudformation":{"name":"CloudFormation","cors":true},"cloudfront":{"name":"CloudFront","versions":["2013-05-12*","2013-11-11*","2014-05-31*","2014-10-21*","2014-11-06*","2015-04-17*","2015-07-27*","2015-09-17*","2016-01-13*","2016-01-28*","2016-08-01*","2016-08-20*","2016-09-07*","2016-09-29*","2016-11-25*","2017-03-25*","2017-10-30*","2018-06-18*","2018-11-05*"],"cors":true},"cloudhsm":{"name":"CloudHSM","cors":true},"cloudsearch":{"name":"CloudSearch"},"cloudsearchdomain":{"name":"CloudSearchDomain"},"cloudtrail":{"name":"CloudTrail","cors":true},"cloudwatch":{"prefix":"monitoring","name":"CloudWatch","cors":true},"cloudwatchevents":{"prefix":"events","name":"CloudWatchEvents","versions":["2014-02-03*"],"cors":true},"cloudwatchlogs":{"prefix":"logs","name":"CloudWatchLogs","cors":true},"codebuild":{"name":"CodeBuild","cors":true},"codecommit":{"name":"CodeCommit","cors":true},"codedeploy":{"name":"CodeDeploy","cors":true},"codepipeline":{"name":"CodePipeline","cors":true},"cognitoidentity":{"prefix":"cognito-identity","name":"CognitoIdentity","cors":true},"cognitoidentityserviceprovider":{"prefix":"cognito-idp","name":"CognitoIdentityServiceProvider","cors":true},"cognitosync":{"prefix":"cognito-sync","name":"CognitoSync","cors":true},"configservice":{"prefix":"config","name":"ConfigService","cors":true},"cur":{"name":"CUR","cors":true},"datapipeline":{"name":"DataPipeline"},"devicefarm":{"name":"DeviceFarm","cors":true},"directconnect":{"name":"DirectConnect","cors":true},"directoryservice":{"prefix":"ds","name":"DirectoryService"},"discovery":{"name":"Discovery"},"dms":{"name":"DMS"},"dynamodb":{"name":"DynamoDB","cors":true},"dynamodbstreams":{"prefix":"streams.dynamodb","name":"DynamoDBStreams","cors":true},"ec2":{"name":"EC2","versions":["2013-06-15*","2013-10-15*","2014-02-01*","2014-05-01*","2014-06-15*","2014-09-01*","2014-10-01*","2015-03-01*","2015-04-15*","2015-10-01*","2016-04-01*","2016-09-15*"],"cors":true},"ecr":{"name":"ECR","cors":true},"ecs":{"name":"ECS","cors":true},"efs":{"prefix":"elasticfilesystem","name":"EFS","cors":true},"elasticache":{"name":"ElastiCache","versions":["2012-11-15*","2014-03-24*","2014-07-15*","2014-09-30*"],"cors":true},"elasticbeanstalk":{"name":"ElasticBeanstalk","cors":true},"elb":{"prefix":"elasticloadbalancing","name":"ELB","cors":true},"elbv2":{"prefix":"elasticloadbalancingv2","name":"ELBv2","cors":true},"emr":{"prefix":"elasticmapreduce","name":"EMR","cors":true},"es":{"name":"ES"},"elastictranscoder":{"name":"ElasticTranscoder","cors":true},"firehose":{"name":"Firehose","cors":true},"gamelift":{"name":"GameLift","cors":true},"glacier":{"name":"Glacier"},"health":{"name":"Health"},"iam":{"name":"IAM","cors":true},"importexport":{"name":"ImportExport"},"inspector":{"name":"Inspector","versions":["2015-08-18*"],"cors":true},"iot":{"name":"Iot","cors":true},"iotdata":{"prefix":"iot-data","name":"IotData","cors":true},"kinesis":{"name":"Kinesis","cors":true},"kinesisanalytics":{"name":"KinesisAnalytics"},"kms":{"name":"KMS","cors":true},"lambda":{"name":"Lambda","cors":true},"lexruntime":{"prefix":"runtime.lex","name":"LexRuntime","cors":true},"lightsail":{"name":"Lightsail"},"machinelearning":{"name":"MachineLearning","cors":true},"marketplacecommerceanalytics":{"name":"MarketplaceCommerceAnalytics","cors":true},"marketplacemetering":{"prefix":"meteringmarketplace","name":"MarketplaceMetering"},"mturk":{"prefix":"mturk-requester","name":"MTurk","cors":true},"mobileanalytics":{"name":"MobileAnalytics","cors":true},"opsworks":{"name":"OpsWorks","cors":true},"opsworkscm":{"name":"OpsWorksCM"},"organizations":{"name":"Organizations"},"pinpoint":{"name":"Pinpoint"},"polly":{"name":"Polly","cors":true},"rds":{"name":"RDS","versions":["2014-09-01*"],"cors":true},"redshift":{"name":"Redshift","cors":true},"rekognition":{"name":"Rekognition","cors":true},"resourcegroupstaggingapi":{"name":"ResourceGroupsTaggingAPI"},"route53":{"name":"Route53","cors":true},"route53domains":{"name":"Route53Domains","cors":true},"s3":{"name":"S3","dualstackAvailable":true,"cors":true},"s3control":{"name":"S3Control","dualstackAvailable":true},"servicecatalog":{"name":"ServiceCatalog","cors":true},"ses":{"prefix":"email","name":"SES","cors":true},"shield":{"name":"Shield"},"simpledb":{"prefix":"sdb","name":"SimpleDB"},"sms":{"name":"SMS"},"snowball":{"name":"Snowball"},"sns":{"name":"SNS","cors":true},"sqs":{"name":"SQS","cors":true},"ssm":{"name":"SSM","cors":true},"storagegateway":{"name":"StorageGateway","cors":true},"stepfunctions":{"prefix":"states","name":"StepFunctions"},"sts":{"name":"STS","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/***/ }),
/* 8 */
diff --git a/dist/aws-sdk-react-native.js b/dist/aws-sdk-react-native.js
index 7302803e18..dfb3211a2a 100644
--- a/dist/aws-sdk-react-native.js
+++ b/dist/aws-sdk-react-native.js
@@ -395,7 +395,7 @@ return /******/ (function(modules) { // webpackBootstrap
/**
* @constant
*/
- VERSION: '2.583.0',
+ VERSION: '2.584.0',
/**
* @api private
@@ -1990,7 +1990,7 @@ return /******/ (function(modules) { // webpackBootstrap
/* 7 */
/***/ (function(module, exports) {
- module.exports = {"acm":{"name":"ACM","cors":true},"apigateway":{"name":"APIGateway","cors":true},"applicationautoscaling":{"prefix":"application-autoscaling","name":"ApplicationAutoScaling","cors":true},"appstream":{"name":"AppStream"},"autoscaling":{"name":"AutoScaling","cors":true},"batch":{"name":"Batch"},"budgets":{"name":"Budgets"},"clouddirectory":{"name":"CloudDirectory","versions":["2016-05-10*"]},"cloudformation":{"name":"CloudFormation","cors":true},"cloudfront":{"name":"CloudFront","versions":["2013-05-12*","2013-11-11*","2014-05-31*","2014-10-21*","2014-11-06*","2015-04-17*","2015-07-27*","2015-09-17*","2016-01-13*","2016-01-28*","2016-08-01*","2016-08-20*","2016-09-07*","2016-09-29*","2016-11-25*","2017-03-25*","2017-10-30*","2018-06-18*","2018-11-05*"],"cors":true},"cloudhsm":{"name":"CloudHSM","cors":true},"cloudsearch":{"name":"CloudSearch"},"cloudsearchdomain":{"name":"CloudSearchDomain"},"cloudtrail":{"name":"CloudTrail","cors":true},"cloudwatch":{"prefix":"monitoring","name":"CloudWatch","cors":true},"cloudwatchevents":{"prefix":"events","name":"CloudWatchEvents","versions":["2014-02-03*"],"cors":true},"cloudwatchlogs":{"prefix":"logs","name":"CloudWatchLogs","cors":true},"codebuild":{"name":"CodeBuild","cors":true},"codecommit":{"name":"CodeCommit","cors":true},"codedeploy":{"name":"CodeDeploy","cors":true},"codepipeline":{"name":"CodePipeline","cors":true},"cognitoidentity":{"prefix":"cognito-identity","name":"CognitoIdentity","cors":true},"cognitoidentityserviceprovider":{"prefix":"cognito-idp","name":"CognitoIdentityServiceProvider","cors":true},"cognitosync":{"prefix":"cognito-sync","name":"CognitoSync","cors":true},"configservice":{"prefix":"config","name":"ConfigService","cors":true},"cur":{"name":"CUR","cors":true},"datapipeline":{"name":"DataPipeline"},"devicefarm":{"name":"DeviceFarm","cors":true},"directconnect":{"name":"DirectConnect","cors":true},"directoryservice":{"prefix":"ds","name":"DirectoryService"},"discovery":{"name":"Discovery"},"dms":{"name":"DMS"},"dynamodb":{"name":"DynamoDB","cors":true},"dynamodbstreams":{"prefix":"streams.dynamodb","name":"DynamoDBStreams","cors":true},"ec2":{"name":"EC2","versions":["2013-06-15*","2013-10-15*","2014-02-01*","2014-05-01*","2014-06-15*","2014-09-01*","2014-10-01*","2015-03-01*","2015-04-15*","2015-10-01*","2016-04-01*","2016-09-15*"],"cors":true},"ecr":{"name":"ECR","cors":true},"ecs":{"name":"ECS","cors":true},"efs":{"prefix":"elasticfilesystem","name":"EFS","cors":true},"elasticache":{"name":"ElastiCache","versions":["2012-11-15*","2014-03-24*","2014-07-15*","2014-09-30*"],"cors":true},"elasticbeanstalk":{"name":"ElasticBeanstalk","cors":true},"elb":{"prefix":"elasticloadbalancing","name":"ELB","cors":true},"elbv2":{"prefix":"elasticloadbalancingv2","name":"ELBv2","cors":true},"emr":{"prefix":"elasticmapreduce","name":"EMR","cors":true},"es":{"name":"ES"},"elastictranscoder":{"name":"ElasticTranscoder","cors":true},"firehose":{"name":"Firehose","cors":true},"gamelift":{"name":"GameLift","cors":true},"glacier":{"name":"Glacier"},"health":{"name":"Health"},"iam":{"name":"IAM","cors":true},"importexport":{"name":"ImportExport"},"inspector":{"name":"Inspector","versions":["2015-08-18*"],"cors":true},"iot":{"name":"Iot","cors":true},"iotdata":{"prefix":"iot-data","name":"IotData","cors":true},"kinesis":{"name":"Kinesis","cors":true},"kinesisanalytics":{"name":"KinesisAnalytics"},"kms":{"name":"KMS","cors":true},"lambda":{"name":"Lambda","cors":true},"lexruntime":{"prefix":"runtime.lex","name":"LexRuntime","cors":true},"lightsail":{"name":"Lightsail"},"machinelearning":{"name":"MachineLearning","cors":true},"marketplacecommerceanalytics":{"name":"MarketplaceCommerceAnalytics","cors":true},"marketplacemetering":{"prefix":"meteringmarketplace","name":"MarketplaceMetering"},"mturk":{"prefix":"mturk-requester","name":"MTurk","cors":true},"mobileanalytics":{"name":"MobileAnalytics","cors":true},"opsworks":{"name":"OpsWorks","cors":true},"opsworkscm":{"name":"OpsWorksCM"},"organizations":{"name":"Organizations"},"pinpoint":{"name":"Pinpoint"},"polly":{"name":"Polly","cors":true},"rds":{"name":"RDS","versions":["2014-09-01*"],"cors":true},"redshift":{"name":"Redshift","cors":true},"rekognition":{"name":"Rekognition","cors":true},"resourcegroupstaggingapi":{"name":"ResourceGroupsTaggingAPI"},"route53":{"name":"Route53","cors":true},"route53domains":{"name":"Route53Domains","cors":true},"s3":{"name":"S3","dualstackAvailable":true,"cors":true},"s3control":{"name":"S3Control","dualstackAvailable":true},"servicecatalog":{"name":"ServiceCatalog","cors":true},"ses":{"prefix":"email","name":"SES","cors":true},"shield":{"name":"Shield"},"simpledb":{"prefix":"sdb","name":"SimpleDB"},"sms":{"name":"SMS"},"snowball":{"name":"Snowball"},"sns":{"name":"SNS","cors":true},"sqs":{"name":"SQS","cors":true},"ssm":{"name":"SSM","cors":true},"storagegateway":{"name":"StorageGateway","cors":true},"stepfunctions":{"prefix":"states","name":"StepFunctions"},"sts":{"name":"STS","cors":true},"support":{"name":"Support"},"swf":{"name":"SWF"},"xray":{"name":"XRay","cors":true},"waf":{"name":"WAF","cors":true},"wafregional":{"prefix":"waf-regional","name":"WAFRegional"},"workdocs":{"name":"WorkDocs","cors":true},"workspaces":{"name":"WorkSpaces"},"codestar":{"name":"CodeStar"},"lexmodelbuildingservice":{"prefix":"lex-models","name":"LexModelBuildingService","cors":true},"marketplaceentitlementservice":{"prefix":"entitlement.marketplace","name":"MarketplaceEntitlementService"},"athena":{"name":"Athena"},"greengrass":{"name":"Greengrass"},"dax":{"name":"DAX"},"migrationhub":{"prefix":"AWSMigrationHub","name":"MigrationHub"},"cloudhsmv2":{"name":"CloudHSMV2"},"glue":{"name":"Glue"},"mobile":{"name":"Mobile"},"pricing":{"name":"Pricing","cors":true},"costexplorer":{"prefix":"ce","name":"CostExplorer","cors":true},"mediaconvert":{"name":"MediaConvert"},"medialive":{"name":"MediaLive"},"mediapackage":{"name":"MediaPackage"},"mediastore":{"name":"MediaStore"},"mediastoredata":{"prefix":"mediastore-data","name":"MediaStoreData","cors":true},"appsync":{"name":"AppSync"},"guardduty":{"name":"GuardDuty"},"mq":{"name":"MQ"},"comprehend":{"name":"Comprehend","cors":true},"iotjobsdataplane":{"prefix":"iot-jobs-data","name":"IoTJobsDataPlane"},"kinesisvideoarchivedmedia":{"prefix":"kinesis-video-archived-media","name":"KinesisVideoArchivedMedia","cors":true},"kinesisvideomedia":{"prefix":"kinesis-video-media","name":"KinesisVideoMedia","cors":true},"kinesisvideo":{"name":"KinesisVideo","cors":true},"sagemakerruntime":{"prefix":"runtime.sagemaker","name":"SageMakerRuntime"},"sagemaker":{"name":"SageMaker"},"translate":{"name":"Translate","cors":true},"resourcegroups":{"prefix":"resource-groups","name":"ResourceGroups","cors":true},"alexaforbusiness":{"name":"AlexaForBusiness"},"cloud9":{"name":"Cloud9"},"serverlessapplicationrepository":{"prefix":"serverlessrepo","name":"ServerlessApplicationRepository"},"servicediscovery":{"name":"ServiceDiscovery"},"workmail":{"name":"WorkMail"},"autoscalingplans":{"prefix":"autoscaling-plans","name":"AutoScalingPlans"},"transcribeservice":{"prefix":"transcribe","name":"TranscribeService"},"connect":{"name":"Connect","cors":true},"acmpca":{"prefix":"acm-pca","name":"ACMPCA"},"fms":{"name":"FMS"},"secretsmanager":{"name":"SecretsManager","cors":true},"iotanalytics":{"name":"IoTAnalytics","cors":true},"iot1clickdevicesservice":{"prefix":"iot1click-devices","name":"IoT1ClickDevicesService"},"iot1clickprojects":{"prefix":"iot1click-projects","name":"IoT1ClickProjects"},"pi":{"name":"PI"},"neptune":{"name":"Neptune"},"mediatailor":{"name":"MediaTailor"},"eks":{"name":"EKS"},"macie":{"name":"Macie"},"dlm":{"name":"DLM"},"signer":{"name":"Signer"},"chime":{"name":"Chime"},"pinpointemail":{"prefix":"pinpoint-email","name":"PinpointEmail"},"ram":{"name":"RAM"},"route53resolver":{"name":"Route53Resolver"},"pinpointsmsvoice":{"prefix":"sms-voice","name":"PinpointSMSVoice"},"quicksight":{"name":"QuickSight"},"rdsdataservice":{"prefix":"rds-data","name":"RDSDataService"},"amplify":{"name":"Amplify"},"datasync":{"name":"DataSync"},"robomaker":{"name":"RoboMaker"},"transfer":{"name":"Transfer"},"globalaccelerator":{"name":"GlobalAccelerator"},"comprehendmedical":{"name":"ComprehendMedical","cors":true},"kinesisanalyticsv2":{"name":"KinesisAnalyticsV2"},"mediaconnect":{"name":"MediaConnect"},"fsx":{"name":"FSx"},"securityhub":{"name":"SecurityHub"},"appmesh":{"name":"AppMesh","versions":["2018-10-01*"]},"licensemanager":{"prefix":"license-manager","name":"LicenseManager"},"kafka":{"name":"Kafka"},"apigatewaymanagementapi":{"name":"ApiGatewayManagementApi"},"apigatewayv2":{"name":"ApiGatewayV2"},"docdb":{"name":"DocDB"},"backup":{"name":"Backup"},"worklink":{"name":"WorkLink"},"textract":{"name":"Textract"},"managedblockchain":{"name":"ManagedBlockchain"},"mediapackagevod":{"prefix":"mediapackage-vod","name":"MediaPackageVod"},"groundstation":{"name":"GroundStation"},"iotthingsgraph":{"name":"IoTThingsGraph"},"iotevents":{"name":"IoTEvents"},"ioteventsdata":{"prefix":"iotevents-data","name":"IoTEventsData"},"personalize":{"name":"Personalize","cors":true},"personalizeevents":{"prefix":"personalize-events","name":"PersonalizeEvents","cors":true},"personalizeruntime":{"prefix":"personalize-runtime","name":"PersonalizeRuntime","cors":true},"applicationinsights":{"prefix":"application-insights","name":"ApplicationInsights"},"servicequotas":{"prefix":"service-quotas","name":"ServiceQuotas"},"ec2instanceconnect":{"prefix":"ec2-instance-connect","name":"EC2InstanceConnect"},"eventbridge":{"name":"EventBridge"},"lakeformation":{"name":"LakeFormation"},"forecastservice":{"prefix":"forecast","name":"ForecastService","cors":true},"forecastqueryservice":{"prefix":"forecastquery","name":"ForecastQueryService","cors":true},"qldb":{"name":"QLDB"},"qldbsession":{"prefix":"qldb-session","name":"QLDBSession"},"workmailmessageflow":{"name":"WorkMailMessageFlow"},"codestarnotifications":{"prefix":"code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+ module.exports = {"acm":{"name":"ACM","cors":true},"apigateway":{"name":"APIGateway","cors":true},"applicationautoscaling":{"prefix":"application-autoscaling","name":"ApplicationAutoScaling","cors":true},"appstream":{"name":"AppStream"},"autoscaling":{"name":"AutoScaling","cors":true},"batch":{"name":"Batch"},"budgets":{"name":"Budgets"},"clouddirectory":{"name":"CloudDirectory","versions":["2016-05-10*"]},"cloudformation":{"name":"CloudFormation","cors":true},"cloudfront":{"name":"CloudFront","versions":["2013-05-12*","2013-11-11*","2014-05-31*","2014-10-21*","2014-11-06*","2015-04-17*","2015-07-27*","2015-09-17*","2016-01-13*","2016-01-28*","2016-08-01*","2016-08-20*","2016-09-07*","2016-09-29*","2016-11-25*","2017-03-25*","2017-10-30*","2018-06-18*","2018-11-05*"],"cors":true},"cloudhsm":{"name":"CloudHSM","cors":true},"cloudsearch":{"name":"CloudSearch"},"cloudsearchdomain":{"name":"CloudSearchDomain"},"cloudtrail":{"name":"CloudTrail","cors":true},"cloudwatch":{"prefix":"monitoring","name":"CloudWatch","cors":true},"cloudwatchevents":{"prefix":"events","name":"CloudWatchEvents","versions":["2014-02-03*"],"cors":true},"cloudwatchlogs":{"prefix":"logs","name":"CloudWatchLogs","cors":true},"codebuild":{"name":"CodeBuild","cors":true},"codecommit":{"name":"CodeCommit","cors":true},"codedeploy":{"name":"CodeDeploy","cors":true},"codepipeline":{"name":"CodePipeline","cors":true},"cognitoidentity":{"prefix":"cognito-identity","name":"CognitoIdentity","cors":true},"cognitoidentityserviceprovider":{"prefix":"cognito-idp","name":"CognitoIdentityServiceProvider","cors":true},"cognitosync":{"prefix":"cognito-sync","name":"CognitoSync","cors":true},"configservice":{"prefix":"config","name":"ConfigService","cors":true},"cur":{"name":"CUR","cors":true},"datapipeline":{"name":"DataPipeline"},"devicefarm":{"name":"DeviceFarm","cors":true},"directconnect":{"name":"DirectConnect","cors":true},"directoryservice":{"prefix":"ds","name":"DirectoryService"},"discovery":{"name":"Discovery"},"dms":{"name":"DMS"},"dynamodb":{"name":"DynamoDB","cors":true},"dynamodbstreams":{"prefix":"streams.dynamodb","name":"DynamoDBStreams","cors":true},"ec2":{"name":"EC2","versions":["2013-06-15*","2013-10-15*","2014-02-01*","2014-05-01*","2014-06-15*","2014-09-01*","2014-10-01*","2015-03-01*","2015-04-15*","2015-10-01*","2016-04-01*","2016-09-15*"],"cors":true},"ecr":{"name":"ECR","cors":true},"ecs":{"name":"ECS","cors":true},"efs":{"prefix":"elasticfilesystem","name":"EFS","cors":true},"elasticache":{"name":"ElastiCache","versions":["2012-11-15*","2014-03-24*","2014-07-15*","2014-09-30*"],"cors":true},"elasticbeanstalk":{"name":"ElasticBeanstalk","cors":true},"elb":{"prefix":"elasticloadbalancing","name":"ELB","cors":true},"elbv2":{"prefix":"elasticloadbalancingv2","name":"ELBv2","cors":true},"emr":{"prefix":"elasticmapreduce","name":"EMR","cors":true},"es":{"name":"ES"},"elastictranscoder":{"name":"ElasticTranscoder","cors":true},"firehose":{"name":"Firehose","cors":true},"gamelift":{"name":"GameLift","cors":true},"glacier":{"name":"Glacier"},"health":{"name":"Health"},"iam":{"name":"IAM","cors":true},"importexport":{"name":"ImportExport"},"inspector":{"name":"Inspector","versions":["2015-08-18*"],"cors":true},"iot":{"name":"Iot","cors":true},"iotdata":{"prefix":"iot-data","name":"IotData","cors":true},"kinesis":{"name":"Kinesis","cors":true},"kinesisanalytics":{"name":"KinesisAnalytics"},"kms":{"name":"KMS","cors":true},"lambda":{"name":"Lambda","cors":true},"lexruntime":{"prefix":"runtime.lex","name":"LexRuntime","cors":true},"lightsail":{"name":"Lightsail"},"machinelearning":{"name":"MachineLearning","cors":true},"marketplacecommerceanalytics":{"name":"MarketplaceCommerceAnalytics","cors":true},"marketplacemetering":{"prefix":"meteringmarketplace","name":"MarketplaceMetering"},"mturk":{"prefix":"mturk-requester","name":"MTurk","cors":true},"mobileanalytics":{"name":"MobileAnalytics","cors":true},"opsworks":{"name":"OpsWorks","cors":true},"opsworkscm":{"name":"OpsWorksCM"},"organizations":{"name":"Organizations"},"pinpoint":{"name":"Pinpoint"},"polly":{"name":"Polly","cors":true},"rds":{"name":"RDS","versions":["2014-09-01*"],"cors":true},"redshift":{"name":"Redshift","cors":true},"rekognition":{"name":"Rekognition","cors":true},"resourcegroupstaggingapi":{"name":"ResourceGroupsTaggingAPI"},"route53":{"name":"Route53","cors":true},"route53domains":{"name":"Route53Domains","cors":true},"s3":{"name":"S3","dualstackAvailable":true,"cors":true},"s3control":{"name":"S3Control","dualstackAvailable":true},"servicecatalog":{"name":"ServiceCatalog","cors":true},"ses":{"prefix":"email","name":"SES","cors":true},"shield":{"name":"Shield"},"simpledb":{"prefix":"sdb","name":"SimpleDB"},"sms":{"name":"SMS"},"snowball":{"name":"Snowball"},"sns":{"name":"SNS","cors":true},"sqs":{"name":"SQS","cors":true},"ssm":{"name":"SSM","cors":true},"storagegateway":{"name":"StorageGateway","cors":true},"stepfunctions":{"prefix":"states","name":"StepFunctions"},"sts":{"name":"STS","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/***/ }),
/* 8 */
@@ -30896,149 +30896,150 @@ return /******/ (function(modules) { // webpackBootstrap
RDS: __webpack_require__(317),
Redshift: __webpack_require__(332),
Rekognition: __webpack_require__(336),
- ResourceGroupsTaggingAPI: __webpack_require__(339),
- Route53: __webpack_require__(342),
- Route53Domains: __webpack_require__(347),
- S3: __webpack_require__(350),
- S3Control: __webpack_require__(420),
- ServiceCatalog: __webpack_require__(424),
- SES: __webpack_require__(427),
- Shield: __webpack_require__(431),
- SimpleDB: __webpack_require__(434),
- SMS: __webpack_require__(437),
- Snowball: __webpack_require__(440),
- SNS: __webpack_require__(443),
- SQS: __webpack_require__(446),
- SSM: __webpack_require__(450),
- StorageGateway: __webpack_require__(453),
- StepFunctions: __webpack_require__(456),
+ ResourceGroupsTaggingAPI: __webpack_require__(340),
+ Route53: __webpack_require__(343),
+ Route53Domains: __webpack_require__(348),
+ S3: __webpack_require__(351),
+ S3Control: __webpack_require__(421),
+ ServiceCatalog: __webpack_require__(425),
+ SES: __webpack_require__(428),
+ Shield: __webpack_require__(432),
+ SimpleDB: __webpack_require__(435),
+ SMS: __webpack_require__(438),
+ Snowball: __webpack_require__(441),
+ SNS: __webpack_require__(444),
+ SQS: __webpack_require__(447),
+ SSM: __webpack_require__(451),
+ StorageGateway: __webpack_require__(454),
+ StepFunctions: __webpack_require__(457),
STS: __webpack_require__(31),
- Support: __webpack_require__(459),
- SWF: __webpack_require__(462),
- XRay: __webpack_require__(466),
- WAF: __webpack_require__(469),
- WAFRegional: __webpack_require__(472),
- WorkDocs: __webpack_require__(475),
- WorkSpaces: __webpack_require__(478),
- CodeStar: __webpack_require__(481),
- LexModelBuildingService: __webpack_require__(484),
- MarketplaceEntitlementService: __webpack_require__(487),
- Athena: __webpack_require__(490),
- Greengrass: __webpack_require__(493),
- DAX: __webpack_require__(495),
- MigrationHub: __webpack_require__(498),
- CloudHSMV2: __webpack_require__(501),
- Glue: __webpack_require__(504),
- Mobile: __webpack_require__(507),
- Pricing: __webpack_require__(510),
- CostExplorer: __webpack_require__(513),
- MediaConvert: __webpack_require__(516),
- MediaLive: __webpack_require__(519),
- MediaPackage: __webpack_require__(523),
- MediaStore: __webpack_require__(526),
- MediaStoreData: __webpack_require__(529),
- AppSync: __webpack_require__(532),
- GuardDuty: __webpack_require__(535),
- MQ: __webpack_require__(538),
- Comprehend: __webpack_require__(541),
- IoTJobsDataPlane: __webpack_require__(544),
- KinesisVideoArchivedMedia: __webpack_require__(547),
- KinesisVideoMedia: __webpack_require__(550),
- KinesisVideo: __webpack_require__(553),
- SageMakerRuntime: __webpack_require__(556),
- SageMaker: __webpack_require__(559),
- Translate: __webpack_require__(563),
- ResourceGroups: __webpack_require__(566),
- AlexaForBusiness: __webpack_require__(569),
- Cloud9: __webpack_require__(572),
- ServerlessApplicationRepository: __webpack_require__(575),
- ServiceDiscovery: __webpack_require__(578),
- WorkMail: __webpack_require__(581),
- AutoScalingPlans: __webpack_require__(584),
- TranscribeService: __webpack_require__(587),
- Connect: __webpack_require__(590),
- ACMPCA: __webpack_require__(593),
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/* 275 */
/***/ (function(module, exports) {
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/***/ }),
/* 276 */
@@ -36385,13 +36386,13 @@ return /******/ (function(modules) { // webpackBootstrap
/* 329 */
/***/ (function(module, exports) {
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/* 338 */
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+ module.exports = {"pagination":{"DescribeProjectVersions":{"input_token":"NextToken","limit_key":"MaxResults","output_token":"NextToken","result_key":"ProjectVersionDescriptions"},"DescribeProjects":{"input_token":"NextToken","limit_key":"MaxResults","output_token":"NextToken","result_key":"ProjectDescriptions"},"GetCelebrityRecognition":{"input_token":"NextToken","limit_key":"MaxResults","output_token":"NextToken"},"GetContentModeration":{"input_token":"NextToken","limit_key":"MaxResults","output_token":"NextToken"},"GetFaceDetection":{"input_token":"NextToken","limit_key":"MaxResults","output_token":"NextToken"},"GetFaceSearch":{"input_token":"NextToken","limit_key":"MaxResults","output_token":"NextToken"},"GetLabelDetection":{"input_token":"NextToken","limit_key":"MaxResults","output_token":"NextToken"},"GetPersonTracking":{"input_token":"NextToken","limit_key":"MaxResults","output_token":"NextToken"},"ListCollections":{"input_token":"NextToken","limit_key":"MaxResults","output_token":"NextToken","result_key":"CollectionIds"},"ListFaces":{"input_token":"NextToken","limit_key":"MaxResults","output_token":"NextToken","result_key":"Faces"},"ListStreamProcessors":{"input_token":"NextToken","limit_key":"MaxResults","output_token":"NextToken"}}}
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/* 339 */
+/***/ (function(module, exports) {
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+ module.exports = {"version":2,"waiters":{"ProjectVersionTrainingCompleted":{"description":"Wait until the ProjectVersion training completes.","operation":"DescribeProjectVersions","delay":120,"maxAttempts":360,"acceptors":[{"state":"success","matcher":"pathAll","argument":"ProjectVersionDescriptions[].Status","expected":"TRAINING_COMPLETED"},{"state":"failure","matcher":"pathAny","argument":"ProjectVersionDescriptions[].Status","expected":"TRAINING_FAILED"}]},"ProjectVersionRunning":{"description":"Wait until the ProjectVersion is running.","delay":30,"maxAttempts":40,"operation":"DescribeProjectVersions","acceptors":[{"state":"success","matcher":"pathAll","argument":"ProjectVersionDescriptions[].Status","expected":"RUNNING"},{"state":"failure","matcher":"pathAny","argument":"ProjectVersionDescriptions[].Status","expected":"FAILED"}]}}}
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@@ -36491,8 +36499,8 @@ return /******/ (function(modules) { // webpackBootstrap
AWS.ResourceGroupsTaggingAPI = Service.defineService('resourcegroupstaggingapi', ['2017-01-26']);
Object.defineProperty(apiLoader.services['resourcegroupstaggingapi'], '2017-01-26', {
get: function get() {
- var model = __webpack_require__(340);
- model.paginators = __webpack_require__(341).pagination;
+ var model = __webpack_require__(341);
+ model.paginators = __webpack_require__(342).pagination;
return model;
},
enumerable: true,
@@ -36503,19 +36511,19 @@ return /******/ (function(modules) { // webpackBootstrap
/***/ }),
-/* 340 */
+/* 341 */
/***/ (function(module, exports) {
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/***/ }),
-/* 341 */
+/* 342 */
/***/ (function(module, exports) {
module.exports = {"pagination":{"GetComplianceSummary":{"input_token":"PaginationToken","limit_key":"MaxResults","output_token":"PaginationToken","result_key":"SummaryList"},"GetResources":{"input_token":"PaginationToken","limit_key":"ResourcesPerPage","output_token":"PaginationToken","result_key":"ResourceTagMappingList"},"GetTagKeys":{"input_token":"PaginationToken","output_token":"PaginationToken","result_key":"TagKeys"},"GetTagValues":{"input_token":"PaginationToken","output_token":"PaginationToken","result_key":"TagValues"}}}
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+/* 343 */
/***/ (function(module, exports, __webpack_require__) {
__webpack_require__(2);
@@ -36525,12 +36533,12 @@ return /******/ (function(modules) { // webpackBootstrap
apiLoader.services['route53'] = {};
AWS.Route53 = Service.defineService('route53', ['2013-04-01']);
- __webpack_require__(343);
+ __webpack_require__(344);
Object.defineProperty(apiLoader.services['route53'], '2013-04-01', {
get: function get() {
- var model = __webpack_require__(344);
- model.paginators = __webpack_require__(345).pagination;
- model.waiters = __webpack_require__(346).waiters;
+ var model = __webpack_require__(345);
+ model.paginators = __webpack_require__(346).pagination;
+ model.waiters = __webpack_require__(347).waiters;
return model;
},
enumerable: true,
@@ -36541,7 +36549,7 @@ return /******/ (function(modules) { // webpackBootstrap
/***/ }),
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+/* 344 */
/***/ (function(module, exports, __webpack_require__) {
var AWS = __webpack_require__(4);
@@ -36579,25 +36587,25 @@ return /******/ (function(modules) { // webpackBootstrap
/***/ }),
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+/* 345 */
/***/ (function(module, exports) {
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/***/ }),
-/* 345 */
+/* 346 */
/***/ (function(module, exports) {
module.exports = {"pagination":{"ListHealthChecks":{"input_token":"Marker","limit_key":"MaxItems","more_results":"IsTruncated","output_token":"NextMarker","result_key":"HealthChecks"},"ListHostedZones":{"input_token":"Marker","limit_key":"MaxItems","more_results":"IsTruncated","output_token":"NextMarker","result_key":"HostedZones"},"ListResourceRecordSets":{"input_token":["StartRecordName","StartRecordType","StartRecordIdentifier"],"limit_key":"MaxItems","more_results":"IsTruncated","output_token":["NextRecordName","NextRecordType","NextRecordIdentifier"],"result_key":"ResourceRecordSets"}}}
/***/ }),
-/* 346 */
+/* 347 */
/***/ (function(module, exports) {
module.exports = {"version":2,"waiters":{"ResourceRecordSetsChanged":{"delay":30,"maxAttempts":60,"operation":"GetChange","acceptors":[{"matcher":"path","expected":"INSYNC","argument":"ChangeInfo.Status","state":"success"}]}}}
/***/ }),
-/* 347 */
+/* 348 */
/***/ (function(module, exports, __webpack_require__) {
__webpack_require__(2);
@@ -36609,8 +36617,8 @@ return /******/ (function(modules) { // webpackBootstrap
AWS.Route53Domains = Service.defineService('route53domains', ['2014-05-15']);
Object.defineProperty(apiLoader.services['route53domains'], '2014-05-15', {
get: function get() {
- var model = __webpack_require__(348);
- model.paginators = __webpack_require__(349).pagination;
+ var model = __webpack_require__(349);
+ model.paginators = __webpack_require__(350).pagination;
return model;
},
enumerable: true,
@@ -36621,19 +36629,19 @@ return /******/ (function(modules) { // webpackBootstrap
/***/ }),
-/* 348 */
+/* 349 */
/***/ (function(module, exports) {
module.exports = {"version":"2.0","metadata":{"apiVersion":"2014-05-15","endpointPrefix":"route53domains","jsonVersion":"1.1","protocol":"json","serviceFullName":"Amazon Route 53 Domains","serviceId":"Route 53 Domains","signatureVersion":"v4","targetPrefix":"Route53Domains_v20140515","uid":"route53domains-2014-05-15"},"operations":{"CheckDomainAvailability":{"input":{"type":"structure","required":["DomainName"],"members":{"DomainName":{},"IdnLangCode":{}}},"output":{"type":"structure","required":["Availability"],"members":{"Availability":{}}}},"CheckDomainTransferability":{"input":{"type":"structure","required":["DomainName"],"members":{"DomainName":{},"AuthCode":{"shape":"S7"}}},"output":{"type":"structure","required":["Transferability"],"members":{"Transferability":{"type":"structure","members":{"Transferable":{}}}}}},"DeleteTagsForDomain":{"input":{"type":"structure","required":["DomainName","TagsToDelete"],"members":{"DomainName":{},"TagsToDelete":{"type":"list","member":{}}}},"output":{"type":"structure","members":{}}},"DisableDomainAutoRenew":{"input":{"type":"structure","required":["DomainName"],"members":{"DomainName":{}}},"output":{"type":"structure","members":{}}},"DisableDomainTransferLock":{"input":{"type":"structure","required":["DomainName"],"members":{"DomainName":{}}},"output":{"type":"structure","required":["OperationId"],"members":{"OperationId":{}}}},"EnableDomainAutoRenew":{"input":{"type":"structure","required":["DomainName"],"members":{"DomainName":{}}},"output":{"type":"structure","members":{}}},"EnableDomainTransferLock":{"input":{"type":"structure","required":["DomainName"],"members":{"DomainName":{}}},"output":{"type":"structure","required":["OperationId"],"members":{"OperationId":{}}}},"GetContactReachabilityStatus":{"input":{"type":"structure","members":{"domainName":{}}},"output":{"type":"structure","members":{"domainName":{},"status":{}}}},"GetDomainDetail":{"input":{"type":"structure","required":["DomainName"],"members":{"DomainName":{}}},"output":{"type":"structure","required":["DomainName","Nameservers","AdminContact","RegistrantContact","TechContact"],"members":{"DomainName":{},"Nameservers":{"shape":"St"},"AutoRenew":{"type":"boolean"},"AdminContact":{"shape":"Sz"},"RegistrantContact":{"shape":"Sz"},"TechContact":{"shape":"Sz"},"AdminPrivacy":{"type":"boolean"},"RegistrantPrivacy":{"type":"boolean"},"TechPrivacy":{"type":"boolean"},"RegistrarName":{},"WhoIsServer":{},"RegistrarUrl":{},"AbuseContactEmail":{},"AbuseContactPhone":{},"RegistryDomainId":{},"CreationDate":{"type":"timestamp"},"UpdatedDate":{"type":"timestamp"},"ExpirationDate":{"type":"timestamp"},"Reseller":{},"DnsSec":{},"StatusList":{"type":"list","member":{}}}}},"GetDomainSuggestions":{"input":{"type":"structure","required":["DomainName","SuggestionCount","OnlyAvailable"],"members":{"DomainName":{},"SuggestionCount":{"type":"integer"},"OnlyAvailable":{"type":"boolean"}}},"output":{"type":"structure","members":{"SuggestionsList":{"type":"list","member":{"type":"structure","members":{"DomainName":{},"Availability":{}}}}}}},"GetOperationDetail":{"input":{"type":"structure","required":["OperationId"],"members":{"OperationId":{}}},"output":{"type":"structure","members":{"OperationId":{},"Status":{},"Message":{},"DomainName":{},"Type":{},"SubmittedDate":{"type":"timestamp"}}}},"ListDomains":{"input":{"type":"structure","members":{"Marker":{},"MaxItems":{"type":"integer"}}},"output":{"type":"structure","required":["Domains"],"members":{"Domains":{"type":"list","member":{"type":"structure","required":["DomainName"],"members":{"DomainName":{},"AutoRenew":{"type":"boolean"},"TransferLock":{"type":"boolean"},"Expiry":{"type":"timestamp"}}}},"NextPageMarker":{}}}},"ListOperations":{"input":{"type":"structure","members":{"SubmittedSince":{"type":"timestamp"},"Marker":{},"MaxItems":{"type":"integer"}}},"output":{"type":"structure","required":["Operations"],"members":{"Operations":{"type":"list","member":{"type":"structure","required":["OperationId","Status","Type","SubmittedDate"],"members":{"OperationId":{},"Status":{},"Type":{},"SubmittedDate":{"type":"timestamp"}}}},"NextPageMarker":{}}}},"ListTagsForDomain":{"input":{"type":"structure","required":["DomainName"],"members":{"DomainName":{}}},"output":{"type":"structure","required":["TagList"],"members":{"TagList":{"shape":"S29"}}}},"RegisterDomain":{"input":{"type":"structure","required":["DomainName","DurationInYears","AdminContact","RegistrantContact","TechContact"],"members":{"DomainName":{},"IdnLangCode":{},"DurationInYears":{"type":"integer"},"AutoRenew":{"type":"boolean"},"AdminContact":{"shape":"Sz"},"RegistrantContact":{"shape":"Sz"},"TechContact":{"shape":"Sz"},"PrivacyProtectAdminContact":{"type":"boolean"},"PrivacyProtectRegistrantContact":{"type":"boolean"},"PrivacyProtectTechContact":{"type":"boolean"}}},"output":{"type":"structure","required":["OperationId"],"members":{"OperationId":{}}}},"RenewDomain":{"input":{"type":"structure","required":["DomainName","CurrentExpiryYear"],"members":{"DomainName":{},"DurationInYears":{"type":"integer"},"CurrentExpiryYear":{"type":"integer"}}},"output":{"type":"structure","required":["OperationId"],"members":{"OperationId":{}}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/***/ }),
-/* 349 */
+/* 350 */
/***/ (function(module, exports) {
module.exports = {"pagination":{"ListDomains":{"input_token":"Marker","limit_key":"MaxItems","output_token":"NextPageMarker","result_key":"Domains"},"ListOperations":{"input_token":"Marker","limit_key":"MaxItems","output_token":"NextPageMarker","result_key":"Operations"}}}
/***/ }),
-/* 350 */
+/* 351 */
/***/ (function(module, exports, __webpack_require__) {
__webpack_require__(2);
@@ -36643,12 +36651,12 @@ return /******/ (function(modules) { // webpackBootstrap
apiLoader.services['s3'] = {};
AWS.S3 = Service.defineService('s3', ['2006-03-01']);
- __webpack_require__(351);
+ __webpack_require__(352);
Object.defineProperty(apiLoader.services['s3'], '2006-03-01', {
get: function get() {
- var model = __webpack_require__(417);
- model.paginators = __webpack_require__(418).pagination;
- model.waiters = __webpack_require__(419).waiters;
+ var model = __webpack_require__(418);
+ model.paginators = __webpack_require__(419).pagination;
+ model.waiters = __webpack_require__(420).waiters;
return model;
},
enumerable: true,
@@ -36659,16 +36667,16 @@ return /******/ (function(modules) { // webpackBootstrap
/***/ }),
-/* 351 */
+/* 352 */
/***/ (function(module, exports, __webpack_require__) {
/* WEBPACK VAR INJECTION */(function(process) {var AWS = __webpack_require__(4);
- var v4Credentials = __webpack_require__(352);
+ var v4Credentials = __webpack_require__(353);
var resolveRegionalEndpointsFlag = __webpack_require__(33);
- var regionUtil = __webpack_require__(353);
+ var regionUtil = __webpack_require__(354);
// Pull in managed upload extension
- __webpack_require__(416);
+ __webpack_require__(417);
/**
* @api private
@@ -37140,10 +37148,13 @@ return /******/ (function(modules) { // webpackBootstrap
dnsSuffix
].join('.');
endpoint.host = endpoint.hostname;
- var encodedArn = AWS.util.uriEscapePath(req.params.Bucket);
+ var encodedArn = AWS.util.uriEscape(req.params.Bucket);
var path = req.httpRequest.path;
//remove the Bucket value from path
req.httpRequest.path = path.replace(new RegExp('/' + encodedArn), '');
+ if (req.httpRequest.path[0] !== '/') {
+ req.httpRequest.path = '/' + req.httpRequest.path;
+ }
req.httpRequest.region = accessPointArn.region; //region used to sign
},
@@ -38049,7 +38060,7 @@ return /******/ (function(modules) { // webpackBootstrap
/* WEBPACK VAR INJECTION */}.call(exports, __webpack_require__(3)))
/***/ }),
-/* 352 */
+/* 353 */
/***/ (function(module, exports, __webpack_require__) {
var AWS = __webpack_require__(4);
@@ -38155,11 +38166,11 @@ return /******/ (function(modules) { // webpackBootstrap
/***/ }),
-/* 353 */
+/* 354 */
/***/ (function(module, exports, __webpack_require__) {
- var util = __webpack_require__(354);
- var regionConfig = __webpack_require__(415);
+ var util = __webpack_require__(355);
+ var regionConfig = __webpack_require__(416);
function generateRegionPrefix(region) {
if (!region) return null;
@@ -38254,7 +38265,7 @@ return /******/ (function(modules) { // webpackBootstrap
/***/ }),
-/* 354 */
+/* 355 */
/***/ (function(module, exports, __webpack_require__) {
/* WEBPACK VAR INJECTION */(function(process, setImmediate) {/* eslint guard-for-in:0 */
@@ -38351,7 +38362,7 @@ return /******/ (function(modules) { // webpackBootstrap
readFileSync: function readFileSync(path) {
if (util.isBrowser()) return null;
- return __webpack_require__(357).readFileSync(path, 'utf-8');
+ return __webpack_require__(358).readFileSync(path, 'utf-8');
},
base64: {
@@ -38454,7 +38465,7 @@ return /******/ (function(modules) { // webpackBootstrap
} else if (typeof string.size === 'number') {
return string.size;
} else if (typeof string.path === 'string') {
- return __webpack_require__(357).lstatSync(string.path).size;
+ return __webpack_require__(358).lstatSync(string.path).size;
} else {
throw util.error(new Error('Cannot determine length of ' + string),
{ object: string });
@@ -38984,7 +38995,7 @@ return /******/ (function(modules) { // webpackBootstrap
computeSha256: function computeSha256(body, done) {
if (util.isNode()) {
var Stream = util.stream.Stream;
- var fs = __webpack_require__(357);
+ var fs = __webpack_require__(358);
if (typeof Stream === 'function' && body instanceof Stream) {
if (typeof body.path === 'string') { // assume file object
var settings = {};
@@ -39100,7 +39111,7 @@ return /******/ (function(modules) { // webpackBootstrap
*/
isDualstackAvailable: function isDualstackAvailable(service) {
if (!service) return false;
- var metadata = __webpack_require__(358);
+ var metadata = __webpack_require__(359);
if (typeof service !== 'string') service = service.serviceIdentifier;
if (typeof service !== 'string' || !metadata.hasOwnProperty(service)) return false;
return !!metadata[service].dualstackAvailable;
@@ -39172,7 +39183,7 @@ return /******/ (function(modules) { // webpackBootstrap
*/
uuid: {
v4: function uuidV4() {
- return __webpack_require__(359).v4();
+ return __webpack_require__(360).v4();
}
},
@@ -39294,10 +39305,10 @@ return /******/ (function(modules) { // webpackBootstrap
*/
module.exports = util;
- /* WEBPACK VAR INJECTION */}.call(exports, __webpack_require__(3), __webpack_require__(355).setImmediate))
+ /* WEBPACK VAR INJECTION */}.call(exports, __webpack_require__(3), __webpack_require__(356).setImmediate))
/***/ }),
-/* 355 */
+/* 356 */
/***/ (function(module, exports, __webpack_require__) {
/* WEBPACK VAR INJECTION */(function(global) {var scope = (typeof global !== "undefined" && global) ||
@@ -39353,7 +39364,7 @@ return /******/ (function(modules) { // webpackBootstrap
};
// setimmediate attaches itself to the global object
- __webpack_require__(356);
+ __webpack_require__(357);
// On some exotic environments, it's not clear which object `setimmediate` was
// able to install onto. Search each possibility in the same order as the
// `setimmediate` library.
@@ -39367,7 +39378,7 @@ return /******/ (function(modules) { // webpackBootstrap
/* WEBPACK VAR INJECTION */}.call(exports, (function() { return this; }())))
/***/ }),
-/* 356 */
+/* 357 */
/***/ (function(module, exports, __webpack_require__) {
/* WEBPACK VAR INJECTION */(function(global, process) {(function (global, undefined) {
@@ -39560,7 +39571,7 @@ return /******/ (function(modules) { // webpackBootstrap
/* WEBPACK VAR INJECTION */}.call(exports, (function() { return this; }()), __webpack_require__(3)))
/***/ }),
-/* 357 */
+/* 358 */
/***/ (function(module, exports) {
// use this when replacing modules with an empty replacement (needed for react-native)
@@ -39572,17 +39583,17 @@ return /******/ (function(modules) { // webpackBootstrap
/***/ }),
-/* 358 */
+/* 359 */
/***/ (function(module, exports) {
- module.exports = 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+ module.exports = {"acm":{"name":"ACM","cors":true},"apigateway":{"name":"APIGateway","cors":true},"applicationautoscaling":{"prefix":"application-autoscaling","name":"ApplicationAutoScaling","cors":true},"appstream":{"name":"AppStream"},"autoscaling":{"name":"AutoScaling","cors":true},"batch":{"name":"Batch"},"budgets":{"name":"Budgets"},"clouddirectory":{"name":"CloudDirectory","versions":["2016-05-10*"]},"cloudformation":{"name":"CloudFormation","cors":true},"cloudfront":{"name":"CloudFront","versions":["2013-05-12*","2013-11-11*","2014-05-31*","2014-10-21*","2014-11-06*","2015-04-17*","2015-07-27*","2015-09-17*","2016-01-13*","2016-01-28*","2016-08-01*","2016-08-20*","2016-09-07*","2016-09-29*","2016-11-25*","2017-03-25*","2017-10-30*","2018-06-18*","2018-11-05*"],"cors":true},"cloudhsm":{"name":"CloudHSM","cors":true},"cloudsearch":{"name":"CloudSearch"},"cloudsearchdomain":{"name":"CloudSearchDomain"},"cloudtrail":{"name":"CloudTrail","cors":true},"cloudwatch":{"prefix":"monitoring","name":"CloudWatch","cors":true},"cloudwatchevents":{"prefix":"events","name":"CloudWatchEvents","versions":["2014-02-03*"],"cors":true},"cloudwatchlogs":{"prefix":"logs","name":"CloudWatchLogs","cors":true},"codebuild":{"name":"CodeBuild","cors":true},"codecommit":{"name":"CodeCommit","cors":true},"codedeploy":{"name":"CodeDeploy","cors":true},"codepipeline":{"name":"CodePipeline","cors":true},"cognitoidentity":{"prefix":"cognito-identity","name":"CognitoIdentity","cors":true},"cognitoidentityserviceprovider":{"prefix":"cognito-idp","name":"CognitoIdentityServiceProvider","cors":true},"cognitosync":{"prefix":"cognito-sync","name":"CognitoSync","cors":true},"configservice":{"prefix":"config","name":"ConfigService","cors":true},"cur":{"name":"CUR","cors":true},"datapipeline":{"name":"DataPipeline"},"devicefarm":{"name":"DeviceFarm","cors":true},"directconnect":{"name":"DirectConnect","cors":true},"directoryservice":{"prefix":"ds","name":"DirectoryService"},"discovery":{"name":"Discovery"},"dms":{"name":"DMS"},"dynamodb":{"name":"DynamoDB","cors":true},"dynamodbstreams":{"prefix":"streams.dynamodb","name":"DynamoDBStreams","cors":true},"ec2":{"name":"EC2","versions":["2013-06-15*","2013-10-15*","2014-02-01*","2014-05-01*","2014-06-15*","2014-09-01*","2014-10-01*","2015-03-01*","2015-04-15*","2015-10-01*","2016-04-01*","2016-09-15*"],"cors":true},"ecr":{"name":"ECR","cors":true},"ecs":{"name":"ECS","cors":true},"efs":{"prefix":"elasticfilesystem","name":"EFS","cors":true},"elasticache":{"name":"ElastiCache","versions":["2012-11-15*","2014-03-24*","2014-07-15*","2014-09-30*"],"cors":true},"elasticbeanstalk":{"name":"ElasticBeanstalk","cors":true},"elb":{"prefix":"elasticloadbalancing","name":"ELB","cors":true},"elbv2":{"prefix":"elasticloadbalancingv2","name":"ELBv2","cors":true},"emr":{"prefix":"elasticmapreduce","name":"EMR","cors":true},"es":{"name":"ES"},"elastictranscoder":{"name":"ElasticTranscoder","cors":true},"firehose":{"name":"Firehose","cors":true},"gamelift":{"name":"GameLift","cors":true},"glacier":{"name":"Glacier"},"health":{"name":"Health"},"iam":{"name":"IAM","cors":true},"importexport":{"name":"ImportExport"},"inspector":{"name":"Inspector","versions":["2015-08-18*"],"cors":true},"iot":{"name":"Iot","cors":true},"iotdata":{"prefix":"iot-data","name":"IotData","cors":true},"kinesis":{"name":"Kinesis","cors":true},"kinesisanalytics":{"name":"KinesisAnalytics"},"kms":{"name":"KMS","cors":true},"lambda":{"name":"Lambda","cors":true},"lexruntime":{"prefix":"runtime.lex","name":"LexRuntime","cors":true},"lightsail":{"name":"Lightsail"},"machinelearning":{"name":"MachineLearning","cors":true},"marketplacecommerceanalytics":{"name":"MarketplaceCommerceAnalytics","cors":true},"marketplacemetering":{"prefix":"meteringmarketplace","name":"MarketplaceMetering"},"mturk":{"prefix":"mturk-requester","name":"MTurk","cors":true},"mobileanalytics":{"name":"MobileAnalytics","cors":true},"opsworks":{"name":"OpsWorks","cors":true},"opsworkscm":{"name":"OpsWorksCM"},"organizations":{"name":"Organizations"},"pinpoint":{"name":"Pinpoint"},"polly":{"name":"Polly","cors":true},"rds":{"name":"RDS","versions":["2014-09-01*"],"cors":true},"redshift":{"name":"Redshift","cors":true},"rekognition":{"name":"Rekognition","cors":true},"resourcegroupstaggingapi":{"name":"ResourceGroupsTaggingAPI"},"route53":{"name":"Route53","cors":true},"route53domains":{"name":"Route53Domains","cors":true},"s3":{"name":"S3","dualstackAvailable":true,"cors":true},"s3control":{"name":"S3Control","dualstackAvailable":true},"servicecatalog":{"name":"ServiceCatalog","cors":true},"ses":{"prefix":"email","name":"SES","cors":true},"shield":{"name":"Shield"},"simpledb":{"prefix":"sdb","name":"SimpleDB"},"sms":{"name":"SMS"},"snowball":{"name":"Snowball"},"sns":{"name":"SNS","cors":true},"sqs":{"name":"SQS","cors":true},"ssm":{"name":"SSM","cors":true},"storagegateway":{"name":"StorageGateway","cors":true},"stepfunctions":{"prefix":"states","name":"StepFunctions"},"sts":{"name":"STS","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/***/ }),
-/* 359 */
+/* 360 */
/***/ (function(module, exports, __webpack_require__) {
- var v1 = __webpack_require__(360);
- var v4 = __webpack_require__(414);
+ var v1 = __webpack_require__(361);
+ var v4 = __webpack_require__(415);
var uuid = v4;
uuid.v1 = v1;
@@ -39592,11 +39603,11 @@ return /******/ (function(modules) { // webpackBootstrap
/***/ }),
-/* 360 */
+/* 361 */
/***/ (function(module, exports, __webpack_require__) {
- var rng = __webpack_require__(361);
- var bytesToUuid = __webpack_require__(413);
+ var rng = __webpack_require__(362);
+ var bytesToUuid = __webpack_require__(414);
// **`v1()` - Generate time-based UUID**
//
@@ -39707,13 +39718,13 @@ return /******/ (function(modules) { // webpackBootstrap
/***/ }),
-/* 361 */
+/* 362 */
/***/ (function(module, exports, __webpack_require__) {
// Unique ID creation requires a high quality random # generator. In node.js
// this is pretty straight-forward - we use the crypto API.
- var crypto = __webpack_require__(362);
+ var crypto = __webpack_require__(363);
module.exports = function nodeRNG() {
return crypto.randomBytes(16);
@@ -39721,10 +39732,10 @@ return /******/ (function(modules) { // webpackBootstrap
/***/ }),
-/* 362 */
+/* 363 */
/***/ (function(module, exports, __webpack_require__) {
- /* WEBPACK VAR INJECTION */(function(Buffer) {var rng = __webpack_require__(363)
+ /* WEBPACK VAR INJECTION */(function(Buffer) {var rng = __webpack_require__(364)
function error () {
var m = [].slice.call(arguments).join(' ')
@@ -39735,9 +39746,9 @@ return /******/ (function(modules) { // webpackBootstrap
].join('\n'))
}
- exports.createHash = __webpack_require__(364)
+ exports.createHash = __webpack_require__(365)
- exports.createHmac = __webpack_require__(376)
+ exports.createHmac = __webpack_require__(377)
exports.randomBytes = function(size, callback) {
if (callback && callback.call) {
@@ -39758,10 +39769,10 @@ return /******/ (function(modules) { // webpackBootstrap
return ['sha1', 'sha256', 'sha512', 'md5', 'rmd160']
}
- var p = __webpack_require__(377)(exports)
+ var p = __webpack_require__(378)(exports)
exports.pbkdf2 = p.pbkdf2
exports.pbkdf2Sync = p.pbkdf2Sync
- __webpack_require__(379)(exports, module.exports);
+ __webpack_require__(380)(exports, module.exports);
// the least I can do is make error messages for the rest of the node.js/crypto api.
each(['createCredentials'
@@ -39777,13 +39788,13 @@ return /******/ (function(modules) { // webpackBootstrap
/* WEBPACK VAR INJECTION */}.call(exports, __webpack_require__(8).Buffer))
/***/ }),
-/* 363 */
+/* 364 */
/***/ (function(module, exports, __webpack_require__) {
/* WEBPACK VAR INJECTION */(function(global, Buffer) {(function() {
var g = ('undefined' === typeof window ? global : window) || {}
_crypto = (
- g.crypto || g.msCrypto || __webpack_require__(362)
+ g.crypto || g.msCrypto || __webpack_require__(363)
)
module.exports = function(size) {
// Modern Browsers
@@ -39810,13 +39821,13 @@ return /******/ (function(modules) { // webpackBootstrap
/* WEBPACK VAR INJECTION */}.call(exports, (function() { return this; }()), __webpack_require__(8).Buffer))
/***/ }),
-/* 364 */
+/* 365 */
/***/ (function(module, exports, __webpack_require__) {
- /* WEBPACK VAR INJECTION */(function(Buffer) {var createHash = __webpack_require__(365)
+ /* WEBPACK VAR INJECTION */(function(Buffer) {var createHash = __webpack_require__(366)
- var md5 = toConstructor(__webpack_require__(373))
- var rmd160 = toConstructor(__webpack_require__(375))
+ var md5 = toConstructor(__webpack_require__(374))
+ var rmd160 = toConstructor(__webpack_require__(376))
function toConstructor (fn) {
return function () {
@@ -39847,7 +39858,7 @@ return /******/ (function(modules) { // webpackBootstrap
/* WEBPACK VAR INJECTION */}.call(exports, __webpack_require__(8).Buffer))
/***/ }),
-/* 365 */
+/* 366 */
/***/ (function(module, exports, __webpack_require__) {
var exports = module.exports = function (alg) {
@@ -39857,15 +39868,15 @@ return /******/ (function(modules) { // webpackBootstrap
}
var Buffer = __webpack_require__(8).Buffer
- var Hash = __webpack_require__(366)(Buffer)
+ var Hash = __webpack_require__(367)(Buffer)
- exports.sha1 = __webpack_require__(367)(Buffer, Hash)
- exports.sha256 = __webpack_require__(371)(Buffer, Hash)
- exports.sha512 = __webpack_require__(372)(Buffer, Hash)
+ exports.sha1 = __webpack_require__(368)(Buffer, Hash)
+ exports.sha256 = __webpack_require__(372)(Buffer, Hash)
+ exports.sha512 = __webpack_require__(373)(Buffer, Hash)
/***/ }),
-/* 366 */
+/* 367 */
/***/ (function(module, exports) {
module.exports = function (Buffer) {
@@ -39948,7 +39959,7 @@ return /******/ (function(modules) { // webpackBootstrap
/***/ }),
-/* 367 */
+/* 368 */
/***/ (function(module, exports, __webpack_require__) {
/*
@@ -39960,7 +39971,7 @@ return /******/ (function(modules) { // webpackBootstrap
* See http://pajhome.org.uk/crypt/md5 for details.
*/
- var inherits = __webpack_require__(368).inherits
+ var inherits = __webpack_require__(369).inherits
module.exports = function (Buffer, Hash) {
@@ -40092,7 +40103,7 @@ return /******/ (function(modules) { // webpackBootstrap
/***/ }),
-/* 368 */
+/* 369 */
/***/ (function(module, exports, __webpack_require__) {
/* WEBPACK VAR INJECTION */(function(global, process) {// Copyright Joyent, Inc. and other Node contributors.
@@ -40620,7 +40631,7 @@ return /******/ (function(modules) { // webpackBootstrap
}
exports.isPrimitive = isPrimitive;
- exports.isBuffer = __webpack_require__(369);
+ exports.isBuffer = __webpack_require__(370);
function objectToString(o) {
return Object.prototype.toString.call(o);
@@ -40664,7 +40675,7 @@ return /******/ (function(modules) { // webpackBootstrap
* prototype.
* @param {function} superCtor Constructor function to inherit prototype from.
*/
- exports.inherits = __webpack_require__(370);
+ exports.inherits = __webpack_require__(371);
exports._extend = function(origin, add) {
// Don't do anything if add isn't an object
@@ -40685,7 +40696,7 @@ return /******/ (function(modules) { // webpackBootstrap
/* WEBPACK VAR INJECTION */}.call(exports, (function() { return this; }()), __webpack_require__(3)))
/***/ }),
-/* 369 */
+/* 370 */
/***/ (function(module, exports, __webpack_require__) {
/* WEBPACK VAR INJECTION */(function(Buffer) {module.exports = function isBuffer(arg) {
@@ -40695,7 +40706,7 @@ return /******/ (function(modules) { // webpackBootstrap
/* WEBPACK VAR INJECTION */}.call(exports, __webpack_require__(8).Buffer))
/***/ }),
-/* 370 */
+/* 371 */
/***/ (function(module, exports) {
if (typeof Object.create === 'function') {
@@ -40724,7 +40735,7 @@ return /******/ (function(modules) { // webpackBootstrap
/***/ }),
-/* 371 */
+/* 372 */
/***/ (function(module, exports, __webpack_require__) {
@@ -40736,7 +40747,7 @@ return /******/ (function(modules) { // webpackBootstrap
*
*/
- var inherits = __webpack_require__(368).inherits
+ var inherits = __webpack_require__(369).inherits
module.exports = function (Buffer, Hash) {
@@ -40877,10 +40888,10 @@ return /******/ (function(modules) { // webpackBootstrap
/***/ }),
-/* 372 */
+/* 373 */
/***/ (function(module, exports, __webpack_require__) {
- var inherits = __webpack_require__(368).inherits
+ var inherits = __webpack_require__(369).inherits
module.exports = function (Buffer, Hash) {
var K = [
@@ -41127,7 +41138,7 @@ return /******/ (function(modules) { // webpackBootstrap
/***/ }),
-/* 373 */
+/* 374 */
/***/ (function(module, exports, __webpack_require__) {
/*
@@ -41139,7 +41150,7 @@ return /******/ (function(modules) { // webpackBootstrap
* See http://pajhome.org.uk/crypt/md5 for more info.
*/
- var helpers = __webpack_require__(374);
+ var helpers = __webpack_require__(375);
/*
* Calculate the MD5 of an array of little-endian words, and a bit length
@@ -41288,7 +41299,7 @@ return /******/ (function(modules) { // webpackBootstrap
/***/ }),
-/* 374 */
+/* 375 */
/***/ (function(module, exports, __webpack_require__) {
/* WEBPACK VAR INJECTION */(function(Buffer) {var intSize = 4;
@@ -41329,7 +41340,7 @@ return /******/ (function(modules) { // webpackBootstrap
/* WEBPACK VAR INJECTION */}.call(exports, __webpack_require__(8).Buffer))
/***/ }),
-/* 375 */
+/* 376 */
/***/ (function(module, exports, __webpack_require__) {
/* WEBPACK VAR INJECTION */(function(Buffer) {
@@ -41541,10 +41552,10 @@ return /******/ (function(modules) { // webpackBootstrap
/* WEBPACK VAR INJECTION */}.call(exports, __webpack_require__(8).Buffer))
/***/ }),
-/* 376 */
+/* 377 */
/***/ (function(module, exports, __webpack_require__) {
- /* WEBPACK VAR INJECTION */(function(Buffer) {var createHash = __webpack_require__(364)
+ /* WEBPACK VAR INJECTION */(function(Buffer) {var createHash = __webpack_require__(365)
var zeroBuffer = new Buffer(128)
zeroBuffer.fill(0)
@@ -41591,10 +41602,10 @@ return /******/ (function(modules) { // webpackBootstrap
/* WEBPACK VAR INJECTION */}.call(exports, __webpack_require__(8).Buffer))
/***/ }),
-/* 377 */
+/* 378 */
/***/ (function(module, exports, __webpack_require__) {
- var pbkdf2Export = __webpack_require__(378)
+ var pbkdf2Export = __webpack_require__(379)
module.exports = function (crypto, exports) {
exports = exports || {}
@@ -41609,7 +41620,7 @@ return /******/ (function(modules) { // webpackBootstrap
/***/ }),
-/* 378 */
+/* 379 */
/***/ (function(module, exports, __webpack_require__) {
/* WEBPACK VAR INJECTION */(function(Buffer) {module.exports = function(crypto) {
@@ -41700,18 +41711,18 @@ return /******/ (function(modules) { // webpackBootstrap
/* WEBPACK VAR INJECTION */}.call(exports, __webpack_require__(8).Buffer))
/***/ }),
-/* 379 */
+/* 380 */
/***/ (function(module, exports, __webpack_require__) {
module.exports = function (crypto, exports) {
exports = exports || {};
- var ciphers = __webpack_require__(380)(crypto);
+ var ciphers = __webpack_require__(381)(crypto);
exports.createCipher = ciphers.createCipher;
exports.createCipheriv = ciphers.createCipheriv;
- var deciphers = __webpack_require__(412)(crypto);
+ var deciphers = __webpack_require__(413)(crypto);
exports.createDecipher = deciphers.createDecipher;
exports.createDecipheriv = deciphers.createDecipheriv;
- var modes = __webpack_require__(403);
+ var modes = __webpack_require__(404);
function listCiphers () {
return Object.keys(modes);
}
@@ -41721,15 +41732,15 @@ return /******/ (function(modules) { // webpackBootstrap
/***/ }),
-/* 380 */
+/* 381 */
/***/ (function(module, exports, __webpack_require__) {
- /* WEBPACK VAR INJECTION */(function(Buffer) {var aes = __webpack_require__(381);
- var Transform = __webpack_require__(382);
- var inherits = __webpack_require__(384);
- var modes = __webpack_require__(403);
- var ebtk = __webpack_require__(404);
- var StreamCipher = __webpack_require__(405);
+ /* WEBPACK VAR INJECTION */(function(Buffer) {var aes = __webpack_require__(382);
+ var Transform = __webpack_require__(383);
+ var inherits = __webpack_require__(385);
+ var modes = __webpack_require__(404);
+ var ebtk = __webpack_require__(405);
+ var StreamCipher = __webpack_require__(406);
inherits(Cipher, Transform);
function Cipher(mode, key, iv) {
if (!(this instanceof Cipher)) {
@@ -41790,11 +41801,11 @@ return /******/ (function(modules) { // webpackBootstrap
return out;
};
var modelist = {
- ECB: __webpack_require__(406),
- CBC: __webpack_require__(407),
- CFB: __webpack_require__(409),
- OFB: __webpack_require__(410),
- CTR: __webpack_require__(411)
+ ECB: __webpack_require__(407),
+ CBC: __webpack_require__(408),
+ CFB: __webpack_require__(410),
+ OFB: __webpack_require__(411),
+ CTR: __webpack_require__(412)
};
module.exports = function (crypto) {
function createCipheriv(suite, password, iv) {
@@ -41836,7 +41847,7 @@ return /******/ (function(modules) { // webpackBootstrap
/* WEBPACK VAR INJECTION */}.call(exports, __webpack_require__(8).Buffer))
/***/ }),
-/* 381 */
+/* 382 */
/***/ (function(module, exports, __webpack_require__) {
/* WEBPACK VAR INJECTION */(function(Buffer) {var uint_max = Math.pow(2, 32);
@@ -42038,11 +42049,11 @@ return /******/ (function(modules) { // webpackBootstrap
/* WEBPACK VAR INJECTION */}.call(exports, __webpack_require__(8).Buffer))
/***/ }),
-/* 382 */
+/* 383 */
/***/ (function(module, exports, __webpack_require__) {
- /* WEBPACK VAR INJECTION */(function(Buffer) {var Transform = __webpack_require__(383).Transform;
- var inherits = __webpack_require__(384);
+ /* WEBPACK VAR INJECTION */(function(Buffer) {var Transform = __webpack_require__(384).Transform;
+ var inherits = __webpack_require__(385);
module.exports = CipherBase;
inherits(CipherBase, Transform);
@@ -42076,7 +42087,7 @@ return /******/ (function(modules) { // webpackBootstrap
/* WEBPACK VAR INJECTION */}.call(exports, __webpack_require__(8).Buffer))
/***/ }),
-/* 383 */
+/* 384 */
/***/ (function(module, exports, __webpack_require__) {
// Copyright Joyent, Inc. and other Node contributors.
@@ -42103,14 +42114,14 @@ return /******/ (function(modules) { // webpackBootstrap
module.exports = Stream;
var EE = __webpack_require__(47).EventEmitter;
- var inherits = __webpack_require__(384);
+ var inherits = __webpack_require__(385);
inherits(Stream, EE);
- Stream.Readable = __webpack_require__(385);
- Stream.Writable = __webpack_require__(399);
- Stream.Duplex = __webpack_require__(400);
- Stream.Transform = __webpack_require__(401);
- Stream.PassThrough = __webpack_require__(402);
+ Stream.Readable = __webpack_require__(386);
+ Stream.Writable = __webpack_require__(400);
+ Stream.Duplex = __webpack_require__(401);
+ Stream.Transform = __webpack_require__(402);
+ Stream.PassThrough = __webpack_require__(403);
// Backwards-compat with node 0.4.x
Stream.Stream = Stream;
@@ -42209,7 +42220,7 @@ return /******/ (function(modules) { // webpackBootstrap
/***/ }),
-/* 384 */
+/* 385 */
/***/ (function(module, exports) {
if (typeof Object.create === 'function') {
@@ -42242,10 +42253,10 @@ return /******/ (function(modules) { // webpackBootstrap
/***/ }),
-/* 385 */
+/* 386 */
/***/ (function(module, exports, __webpack_require__) {
- /* WEBPACK VAR INJECTION */(function(process) {var Stream = __webpack_require__(383);
+ /* WEBPACK VAR INJECTION */(function(process) {var Stream = __webpack_require__(384);
if (process.env.READABLE_STREAM === 'disable' && Stream) {
module.exports = Stream;
exports = module.exports = Stream.Readable;
@@ -42256,19 +42267,19 @@ return /******/ (function(modules) { // webpackBootstrap
exports.PassThrough = Stream.PassThrough;
exports.Stream = Stream;
} else {
- exports = module.exports = __webpack_require__(386);
+ exports = module.exports = __webpack_require__(387);
exports.Stream = Stream || exports;
exports.Readable = exports;
- exports.Writable = __webpack_require__(394);
- exports.Duplex = __webpack_require__(393);
- exports.Transform = __webpack_require__(397);
- exports.PassThrough = __webpack_require__(398);
+ exports.Writable = __webpack_require__(395);
+ exports.Duplex = __webpack_require__(394);
+ exports.Transform = __webpack_require__(398);
+ exports.PassThrough = __webpack_require__(399);
}
/* WEBPACK VAR INJECTION */}.call(exports, __webpack_require__(3)))
/***/ }),
-/* 386 */
+/* 387 */
/***/ (function(module, exports, __webpack_require__) {
/* WEBPACK VAR INJECTION */(function(global, process) {// Copyright Joyent, Inc. and other Node contributors.
@@ -42296,7 +42307,7 @@ return /******/ (function(modules) { // webpackBootstrap
/**/
- var pna = __webpack_require__(387);
+ var pna = __webpack_require__(388);
/**/
module.exports = Readable;
@@ -42320,12 +42331,12 @@ return /******/ (function(modules) { // webpackBootstrap
/**/
/**/
- var Stream = __webpack_require__(388);
+ var Stream = __webpack_require__(389);
/**/
/**/
- var Buffer = __webpack_require__(389).Buffer;
+ var Buffer = __webpack_require__(390).Buffer;
var OurUint8Array = global.Uint8Array || function () {};
function _uint8ArrayToBuffer(chunk) {
return Buffer.from(chunk);
@@ -42337,12 +42348,12 @@ return /******/ (function(modules) { // webpackBootstrap
/**/
/**/
- var util = __webpack_require__(390);
- util.inherits = __webpack_require__(384);
+ var util = __webpack_require__(391);
+ util.inherits = __webpack_require__(385);
/**/
/**/
- var debugUtil = __webpack_require__(368);
+ var debugUtil = __webpack_require__(369);
var debug = void 0;
if (debugUtil && debugUtil.debuglog) {
debug = debugUtil.debuglog('stream');
@@ -42351,8 +42362,8 @@ return /******/ (function(modules) { // webpackBootstrap
}
/**/
- var BufferList = __webpack_require__(391);
- var destroyImpl = __webpack_require__(392);
+ var BufferList = __webpack_require__(392);
+ var destroyImpl = __webpack_require__(393);
var StringDecoder;
util.inherits(Readable, Stream);
@@ -42372,7 +42383,7 @@ return /******/ (function(modules) { // webpackBootstrap
}
function ReadableState(options, stream) {
- Duplex = Duplex || __webpack_require__(393);
+ Duplex = Duplex || __webpack_require__(394);
options = options || {};
@@ -42442,14 +42453,14 @@ return /******/ (function(modules) { // webpackBootstrap
this.decoder = null;
this.encoding = null;
if (options.encoding) {
- if (!StringDecoder) StringDecoder = __webpack_require__(396).StringDecoder;
+ if (!StringDecoder) StringDecoder = __webpack_require__(397).StringDecoder;
this.decoder = new StringDecoder(options.encoding);
this.encoding = options.encoding;
}
}
function Readable(options) {
- Duplex = Duplex || __webpack_require__(393);
+ Duplex = Duplex || __webpack_require__(394);
if (!(this instanceof Readable)) return new Readable(options);
@@ -42598,7 +42609,7 @@ return /******/ (function(modules) { // webpackBootstrap
// backwards compatibility.
Readable.prototype.setEncoding = function (enc) {
- if (!StringDecoder) StringDecoder = __webpack_require__(396).StringDecoder;
+ if (!StringDecoder) StringDecoder = __webpack_require__(397).StringDecoder;
this._readableState.decoder = new StringDecoder(enc);
this._readableState.encoding = enc;
return this;
@@ -43293,7 +43304,7 @@ return /******/ (function(modules) { // webpackBootstrap
/* WEBPACK VAR INJECTION */}.call(exports, (function() { return this; }()), __webpack_require__(3)))
/***/ }),
-/* 387 */
+/* 388 */
/***/ (function(module, exports, __webpack_require__) {
/* WEBPACK VAR INJECTION */(function(process) {'use strict';
@@ -43345,14 +43356,14 @@ return /******/ (function(modules) { // webpackBootstrap
/* WEBPACK VAR INJECTION */}.call(exports, __webpack_require__(3)))
/***/ }),
-/* 388 */
+/* 389 */
/***/ (function(module, exports, __webpack_require__) {
- module.exports = __webpack_require__(383);
+ module.exports = __webpack_require__(384);
/***/ }),
-/* 389 */
+/* 390 */
/***/ (function(module, exports, __webpack_require__) {
/* eslint-disable node/no-deprecated-api */
@@ -43420,7 +43431,7 @@ return /******/ (function(modules) { // webpackBootstrap
/***/ }),
-/* 390 */
+/* 391 */
/***/ (function(module, exports, __webpack_require__) {
/* WEBPACK VAR INJECTION */(function(Buffer) {// Copyright Joyent, Inc. and other Node contributors.
@@ -43534,15 +43545,15 @@ return /******/ (function(modules) { // webpackBootstrap
/* WEBPACK VAR INJECTION */}.call(exports, __webpack_require__(8).Buffer))
/***/ }),
-/* 391 */
+/* 392 */
/***/ (function(module, exports, __webpack_require__) {
'use strict';
function _classCallCheck(instance, Constructor) { if (!(instance instanceof Constructor)) { throw new TypeError("Cannot call a class as a function"); } }
- var Buffer = __webpack_require__(389).Buffer;
- var util = __webpack_require__(368);
+ var Buffer = __webpack_require__(390).Buffer;
+ var util = __webpack_require__(369);
function copyBuffer(src, target, offset) {
src.copy(target, offset);
@@ -43618,14 +43629,14 @@ return /******/ (function(modules) { // webpackBootstrap
}
/***/ }),
-/* 392 */
+/* 393 */
/***/ (function(module, exports, __webpack_require__) {
'use strict';
/**/
- var pna = __webpack_require__(387);
+ var pna = __webpack_require__(388);
/**/
// undocumented cb() API, needed for core, not for public API
@@ -43697,7 +43708,7 @@ return /******/ (function(modules) { // webpackBootstrap
};
/***/ }),
-/* 393 */
+/* 394 */
/***/ (function(module, exports, __webpack_require__) {
// Copyright Joyent, Inc. and other Node contributors.
@@ -43730,7 +43741,7 @@ return /******/ (function(modules) { // webpackBootstrap
/**/
- var pna = __webpack_require__(387);
+ var pna = __webpack_require__(388);
/**/
/**/
@@ -43745,12 +43756,12 @@ return /******/ (function(modules) { // webpackBootstrap
module.exports = Duplex;
/**/
- var util = __webpack_require__(390);
- util.inherits = __webpack_require__(384);
+ var util = __webpack_require__(391);
+ util.inherits = __webpack_require__(385);
/**/
- var Readable = __webpack_require__(386);
- var Writable = __webpack_require__(394);
+ var Readable = __webpack_require__(387);
+ var Writable = __webpack_require__(395);
util.inherits(Duplex, Readable);
@@ -43833,7 +43844,7 @@ return /******/ (function(modules) { // webpackBootstrap
};
/***/ }),
-/* 394 */
+/* 395 */
/***/ (function(module, exports, __webpack_require__) {
/* WEBPACK VAR INJECTION */(function(process, setImmediate, global) {// Copyright Joyent, Inc. and other Node contributors.
@@ -43865,7 +43876,7 @@ return /******/ (function(modules) { // webpackBootstrap
/**/
- var pna = __webpack_require__(387);
+ var pna = __webpack_require__(388);
/**/
module.exports = Writable;
@@ -43902,23 +43913,23 @@ return /******/ (function(modules) { // webpackBootstrap
Writable.WritableState = WritableState;
/**/
- var util = __webpack_require__(390);
- util.inherits = __webpack_require__(384);
+ var util = __webpack_require__(391);
+ util.inherits = __webpack_require__(385);
/**/
/**/
var internalUtil = {
- deprecate: __webpack_require__(395)
+ deprecate: __webpack_require__(396)
};
/**/
/**/
- var Stream = __webpack_require__(388);
+ var Stream = __webpack_require__(389);
/**/
/**/
- var Buffer = __webpack_require__(389).Buffer;
+ var Buffer = __webpack_require__(390).Buffer;
var OurUint8Array = global.Uint8Array || function () {};
function _uint8ArrayToBuffer(chunk) {
return Buffer.from(chunk);
@@ -43929,14 +43940,14 @@ return /******/ (function(modules) { // webpackBootstrap
/**/
- var destroyImpl = __webpack_require__(392);
+ var destroyImpl = __webpack_require__(393);
util.inherits(Writable, Stream);
function nop() {}
function WritableState(options, stream) {
- Duplex = Duplex || __webpack_require__(393);
+ Duplex = Duplex || __webpack_require__(394);
options = options || {};
@@ -44086,7 +44097,7 @@ return /******/ (function(modules) { // webpackBootstrap
}
function Writable(options) {
- Duplex = Duplex || __webpack_require__(393);
+ Duplex = Duplex || __webpack_require__(394);
// Writable ctor is applied to Duplexes, too.
// `realHasInstance` is necessary because using plain `instanceof`
@@ -44523,10 +44534,10 @@ return /******/ (function(modules) { // webpackBootstrap
this.end();
cb(err);
};
- /* WEBPACK VAR INJECTION */}.call(exports, __webpack_require__(3), __webpack_require__(355).setImmediate, (function() { return this; }())))
+ /* WEBPACK VAR INJECTION */}.call(exports, __webpack_require__(3), __webpack_require__(356).setImmediate, (function() { return this; }())))
/***/ }),
-/* 395 */
+/* 396 */
/***/ (function(module, exports) {
/* WEBPACK VAR INJECTION */(function(global) {
@@ -44600,7 +44611,7 @@ return /******/ (function(modules) { // webpackBootstrap
/* WEBPACK VAR INJECTION */}.call(exports, (function() { return this; }())))
/***/ }),
-/* 396 */
+/* 397 */
/***/ (function(module, exports, __webpack_require__) {
// Copyright Joyent, Inc. and other Node contributors.
@@ -44628,7 +44639,7 @@ return /******/ (function(modules) { // webpackBootstrap
/**/
- var Buffer = __webpack_require__(389).Buffer;
+ var Buffer = __webpack_require__(390).Buffer;
/**/
var isEncoding = Buffer.isEncoding || function (encoding) {
@@ -44901,7 +44912,7 @@ return /******/ (function(modules) { // webpackBootstrap
}
/***/ }),
-/* 397 */
+/* 398 */
/***/ (function(module, exports, __webpack_require__) {
// Copyright Joyent, Inc. and other Node contributors.
@@ -44971,11 +44982,11 @@ return /******/ (function(modules) { // webpackBootstrap
module.exports = Transform;
- var Duplex = __webpack_require__(393);
+ var Duplex = __webpack_require__(394);
/**/
- var util = __webpack_require__(390);
- util.inherits = __webpack_require__(384);
+ var util = __webpack_require__(391);
+ util.inherits = __webpack_require__(385);
/**/
util.inherits(Transform, Duplex);
@@ -45120,7 +45131,7 @@ return /******/ (function(modules) { // webpackBootstrap
}
/***/ }),
-/* 398 */
+/* 399 */
/***/ (function(module, exports, __webpack_require__) {
// Copyright Joyent, Inc. and other Node contributors.
@@ -45152,11 +45163,11 @@ return /******/ (function(modules) { // webpackBootstrap
module.exports = PassThrough;
- var Transform = __webpack_require__(397);
+ var Transform = __webpack_require__(398);
/**/
- var util = __webpack_require__(390);
- util.inherits = __webpack_require__(384);
+ var util = __webpack_require__(391);
+ util.inherits = __webpack_require__(385);
/**/
util.inherits(PassThrough, Transform);
@@ -45172,11 +45183,11 @@ return /******/ (function(modules) { // webpackBootstrap
};
/***/ }),
-/* 399 */
+/* 400 */
/***/ (function(module, exports, __webpack_require__) {
- /* WEBPACK VAR INJECTION */(function(process) {var Stream = __webpack_require__(383)
- var Writable = __webpack_require__(394)
+ /* WEBPACK VAR INJECTION */(function(process) {var Stream = __webpack_require__(384)
+ var Writable = __webpack_require__(395)
if (process.env.READABLE_STREAM === 'disable') {
module.exports = Stream && Stream.Writable || Writable
@@ -45187,28 +45198,28 @@ return /******/ (function(modules) { // webpackBootstrap
/* WEBPACK VAR INJECTION */}.call(exports, __webpack_require__(3)))
/***/ }),
-/* 400 */
+/* 401 */
/***/ (function(module, exports, __webpack_require__) {
- module.exports = __webpack_require__(385).Duplex
+ module.exports = __webpack_require__(386).Duplex
/***/ }),
-/* 401 */
+/* 402 */
/***/ (function(module, exports, __webpack_require__) {
- module.exports = __webpack_require__(385).Transform
+ module.exports = __webpack_require__(386).Transform
/***/ }),
-/* 402 */
+/* 403 */
/***/ (function(module, exports, __webpack_require__) {
- module.exports = __webpack_require__(385).PassThrough
+ module.exports = __webpack_require__(386).PassThrough
/***/ }),
-/* 403 */
+/* 404 */
/***/ (function(module, exports) {
exports['aes-128-ecb'] = {
@@ -45321,7 +45332,7 @@ return /******/ (function(modules) { // webpackBootstrap
};
/***/ }),
-/* 404 */
+/* 405 */
/***/ (function(module, exports, __webpack_require__) {
/* WEBPACK VAR INJECTION */(function(Buffer) {
@@ -45384,12 +45395,12 @@ return /******/ (function(modules) { // webpackBootstrap
/* WEBPACK VAR INJECTION */}.call(exports, __webpack_require__(8).Buffer))
/***/ }),
-/* 405 */
+/* 406 */
/***/ (function(module, exports, __webpack_require__) {
- /* WEBPACK VAR INJECTION */(function(Buffer) {var aes = __webpack_require__(381);
- var Transform = __webpack_require__(382);
- var inherits = __webpack_require__(384);
+ /* WEBPACK VAR INJECTION */(function(Buffer) {var aes = __webpack_require__(382);
+ var Transform = __webpack_require__(383);
+ var inherits = __webpack_require__(385);
inherits(StreamCipher, Transform);
module.exports = StreamCipher;
@@ -45416,7 +45427,7 @@ return /******/ (function(modules) { // webpackBootstrap
/* WEBPACK VAR INJECTION */}.call(exports, __webpack_require__(8).Buffer))
/***/ }),
-/* 406 */
+/* 407 */
/***/ (function(module, exports) {
exports.encrypt = function (self, block) {
@@ -45427,10 +45438,10 @@ return /******/ (function(modules) { // webpackBootstrap
};
/***/ }),
-/* 407 */
+/* 408 */
/***/ (function(module, exports, __webpack_require__) {
- var xor = __webpack_require__(408);
+ var xor = __webpack_require__(409);
exports.encrypt = function (self, block) {
var data = xor(block, self._prev);
self._prev = self._cipher.encryptBlock(data);
@@ -45444,7 +45455,7 @@ return /******/ (function(modules) { // webpackBootstrap
};
/***/ }),
-/* 408 */
+/* 409 */
/***/ (function(module, exports, __webpack_require__) {
/* WEBPACK VAR INJECTION */(function(Buffer) {module.exports = xor;
@@ -45460,10 +45471,10 @@ return /******/ (function(modules) { // webpackBootstrap
/* WEBPACK VAR INJECTION */}.call(exports, __webpack_require__(8).Buffer))
/***/ }),
-/* 409 */
+/* 410 */
/***/ (function(module, exports, __webpack_require__) {
- /* WEBPACK VAR INJECTION */(function(Buffer) {var xor = __webpack_require__(408);
+ /* WEBPACK VAR INJECTION */(function(Buffer) {var xor = __webpack_require__(409);
exports.encrypt = function (self, data, decrypt) {
var out = new Buffer('');
var len;
@@ -45493,10 +45504,10 @@ return /******/ (function(modules) { // webpackBootstrap
/* WEBPACK VAR INJECTION */}.call(exports, __webpack_require__(8).Buffer))
/***/ }),
-/* 410 */
+/* 411 */
/***/ (function(module, exports, __webpack_require__) {
- /* WEBPACK VAR INJECTION */(function(Buffer) {var xor = __webpack_require__(408);
+ /* WEBPACK VAR INJECTION */(function(Buffer) {var xor = __webpack_require__(409);
function getBlock(self) {
self._prev = self._cipher.encryptBlock(self._prev);
return self._prev;
@@ -45512,10 +45523,10 @@ return /******/ (function(modules) { // webpackBootstrap
/* WEBPACK VAR INJECTION */}.call(exports, __webpack_require__(8).Buffer))
/***/ }),
-/* 411 */
+/* 412 */
/***/ (function(module, exports, __webpack_require__) {
- /* WEBPACK VAR INJECTION */(function(Buffer) {var xor = __webpack_require__(408);
+ /* WEBPACK VAR INJECTION */(function(Buffer) {var xor = __webpack_require__(409);
function getBlock(self) {
var out = self._cipher.encryptBlock(self._prev);
incr32(self._prev);
@@ -45546,15 +45557,15 @@ return /******/ (function(modules) { // webpackBootstrap
/* WEBPACK VAR INJECTION */}.call(exports, __webpack_require__(8).Buffer))
/***/ }),
-/* 412 */
+/* 413 */
/***/ (function(module, exports, __webpack_require__) {
- /* WEBPACK VAR INJECTION */(function(Buffer) {var aes = __webpack_require__(381);
- var Transform = __webpack_require__(382);
- var inherits = __webpack_require__(384);
- var modes = __webpack_require__(403);
- var StreamCipher = __webpack_require__(405);
- var ebtk = __webpack_require__(404);
+ /* WEBPACK VAR INJECTION */(function(Buffer) {var aes = __webpack_require__(382);
+ var Transform = __webpack_require__(383);
+ var inherits = __webpack_require__(385);
+ var modes = __webpack_require__(404);
+ var StreamCipher = __webpack_require__(406);
+ var ebtk = __webpack_require__(405);
inherits(Decipher, Transform);
function Decipher(mode, key, iv) {
@@ -45622,11 +45633,11 @@ return /******/ (function(modules) { // webpackBootstrap
}
var modelist = {
- ECB: __webpack_require__(406),
- CBC: __webpack_require__(407),
- CFB: __webpack_require__(409),
- OFB: __webpack_require__(410),
- CTR: __webpack_require__(411)
+ ECB: __webpack_require__(407),
+ CBC: __webpack_require__(408),
+ CFB: __webpack_require__(410),
+ OFB: __webpack_require__(411),
+ CTR: __webpack_require__(412)
};
module.exports = function (crypto) {
@@ -45670,7 +45681,7 @@ return /******/ (function(modules) { // webpackBootstrap
/* WEBPACK VAR INJECTION */}.call(exports, __webpack_require__(8).Buffer))
/***/ }),
-/* 413 */
+/* 414 */
/***/ (function(module, exports) {
/**
@@ -45700,11 +45711,11 @@ return /******/ (function(modules) { // webpackBootstrap
/***/ }),
-/* 414 */
+/* 415 */
/***/ (function(module, exports, __webpack_require__) {
- var rng = __webpack_require__(361);
- var bytesToUuid = __webpack_require__(413);
+ var rng = __webpack_require__(362);
+ var bytesToUuid = __webpack_require__(414);
function v4(options, buf, offset) {
var i = buf && offset || 0;
@@ -45735,13 +45746,13 @@ return /******/ (function(modules) { // webpackBootstrap
/***/ }),
-/* 415 */
+/* 416 */
/***/ (function(module, exports) {
module.exports = {"rules":{"*/*":{"endpoint":"{service}.{region}.amazonaws.com"},"cn-*/*":{"endpoint":"{service}.{region}.amazonaws.com.cn"},"*/budgets":"globalSSL","*/cloudfront":"globalSSL","*/iam":"globalSSL","*/sts":"globalSSL","*/importexport":{"endpoint":"{service}.amazonaws.com","signatureVersion":"v2","globalEndpoint":true},"*/route53":{"endpoint":"https://{service}.amazonaws.com","signatureVersion":"v3https","globalEndpoint":true},"*/waf":"globalSSL","us-gov-*/iam":"globalGovCloud","us-gov-*/sts":{"endpoint":"{service}.{region}.amazonaws.com"},"us-gov-west-1/s3":"s3signature","us-west-1/s3":"s3signature","us-west-2/s3":"s3signature","eu-west-1/s3":"s3signature","ap-southeast-1/s3":"s3signature","ap-southeast-2/s3":"s3signature","ap-northeast-1/s3":"s3signature","sa-east-1/s3":"s3signature","us-east-1/s3":{"endpoint":"{service}.amazonaws.com","signatureVersion":"s3"},"us-east-1/sdb":{"endpoint":"{service}.amazonaws.com","signatureVersion":"v2"},"*/sdb":{"endpoint":"{service}.{region}.amazonaws.com","signatureVersion":"v2"}},"patterns":{"globalSSL":{"endpoint":"https://{service}.amazonaws.com","globalEndpoint":true},"globalGovCloud":{"endpoint":"{service}.us-gov.amazonaws.com"},"s3signature":{"endpoint":"{service}.{region}.amazonaws.com","signatureVersion":"s3"}}}
/***/ }),
-/* 416 */
+/* 417 */
/***/ (function(module, exports, __webpack_require__) {
var AWS = __webpack_require__(4);
@@ -46473,25 +46484,25 @@ return /******/ (function(modules) { // webpackBootstrap
/***/ }),
-/* 417 */
+/* 418 */
/***/ (function(module, exports) {
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apiLoader.services['s3control'] = {};
AWS.S3Control = Service.defineService('s3control', ['2018-08-20']);
- __webpack_require__(421);
+ __webpack_require__(422);
Object.defineProperty(apiLoader.services['s3control'], '2018-08-20', {
get: function get() {
- var model = __webpack_require__(422);
- model.paginators = __webpack_require__(423).pagination;
+ var model = __webpack_require__(423);
+ model.paginators = __webpack_require__(424).pagination;
return model;
},
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@@ -46516,7 +46527,7 @@ return /******/ (function(modules) { // webpackBootstrap
/***/ }),
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/***/ (function(module, exports, __webpack_require__) {
var AWS = __webpack_require__(4);
@@ -46594,19 +46605,19 @@ return /******/ (function(modules) { // webpackBootstrap
/***/ }),
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/***/ (function(module, exports, __webpack_require__) {
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@@ -46618,8 +46629,8 @@ return /******/ (function(modules) { // webpackBootstrap
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Object.defineProperty(apiLoader.services['servicecatalog'], '2015-12-10', {
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- model.paginators = __webpack_require__(426).pagination;
+ var model = __webpack_require__(426);
+ model.paginators = __webpack_require__(427).pagination;
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},
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Object.defineProperty(apiLoader.services['shield'], '2016-06-02', {
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- model.paginators = __webpack_require__(433).pagination;
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@@ -46733,8 +46744,8 @@ return /******/ (function(modules) { // webpackBootstrap
AWS.SimpleDB = Service.defineService('simpledb', ['2009-04-15']);
Object.defineProperty(apiLoader.services['simpledb'], '2009-04-15', {
get: function get() {
- var model = __webpack_require__(435);
- model.paginators = __webpack_require__(436).pagination;
+ var model = __webpack_require__(436);
+ model.paginators = __webpack_require__(437).pagination;
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@@ -46745,19 +46756,19 @@ return /******/ (function(modules) { // webpackBootstrap
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/***/ (function(module, exports) {
module.exports = {"pagination":{"ListDomains":{"input_token":"NextToken","output_token":"NextToken","limit_key":"MaxNumberOfDomains","result_key":"DomainNames"},"Select":{"input_token":"NextToken","output_token":"NextToken","result_key":"Items"}}}
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/***/ (function(module, exports, __webpack_require__) {
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AWS.SMS = Service.defineService('sms', ['2016-10-24']);
Object.defineProperty(apiLoader.services['sms'], '2016-10-24', {
get: function get() {
- var model = __webpack_require__(438);
- model.paginators = __webpack_require__(439).pagination;
+ var model = __webpack_require__(439);
+ model.paginators = __webpack_require__(440).pagination;
return model;
},
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-/* 439 */
+/* 440 */
/***/ (function(module, exports) {
module.exports = {"pagination":{"GetConnectors":{"input_token":"nextToken","limit_key":"maxResults","output_token":"nextToken","result_key":"connectorList"},"GetReplicationJobs":{"input_token":"nextToken","limit_key":"maxResults","output_token":"nextToken","result_key":"replicationJobList"},"GetReplicationRuns":{"input_token":"nextToken","limit_key":"maxResults","output_token":"nextToken","result_key":"replicationRunList"},"GetServers":{"input_token":"nextToken","limit_key":"maxResults","output_token":"nextToken","result_key":"serverList"}}}
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/***/ (function(module, exports, __webpack_require__) {
__webpack_require__(2);
@@ -46805,8 +46816,8 @@ return /******/ (function(modules) { // webpackBootstrap
AWS.Snowball = Service.defineService('snowball', ['2016-06-30']);
Object.defineProperty(apiLoader.services['snowball'], '2016-06-30', {
get: function get() {
- var model = __webpack_require__(441);
- model.paginators = __webpack_require__(442).pagination;
+ var model = __webpack_require__(442);
+ model.paginators = __webpack_require__(443).pagination;
return model;
},
enumerable: true,
@@ -46817,19 +46828,19 @@ return /******/ (function(modules) { // webpackBootstrap
/***/ }),
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+/* 442 */
/***/ (function(module, exports) {
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/***/ (function(module, exports) {
module.exports = {"pagination":{"DescribeAddresses":{"input_token":"NextToken","limit_key":"MaxResults","output_token":"NextToken","result_key":"Addresses"},"ListJobs":{"input_token":"NextToken","limit_key":"MaxResults","output_token":"NextToken","result_key":"JobListEntries"}}}
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+/* 444 */
/***/ (function(module, exports, __webpack_require__) {
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@@ -46841,8 +46852,8 @@ return /******/ (function(modules) { // webpackBootstrap
AWS.SNS = Service.defineService('sns', ['2010-03-31']);
Object.defineProperty(apiLoader.services['sns'], '2010-03-31', {
get: function get() {
- var model = __webpack_require__(444);
- model.paginators = __webpack_require__(445).pagination;
+ var model = __webpack_require__(445);
+ model.paginators = __webpack_require__(446).pagination;
return model;
},
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@@ -46853,19 +46864,19 @@ return /******/ (function(modules) { // webpackBootstrap
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+/* 445 */
/***/ (function(module, exports) {
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Object.defineProperty(apiLoader.services['sqs'], '2012-11-05', {
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@@ -47051,8 +47062,8 @@ return /******/ (function(modules) { // webpackBootstrap
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Object.defineProperty(apiLoader.services['ssm'], '2014-11-06', {
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- model.paginators = __webpack_require__(452).pagination;
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+ model.paginators = __webpack_require__(453).pagination;
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-/* 477 */
+/* 478 */
/***/ (function(module, exports) {
module.exports = {"pagination":{"DescribeDocumentVersions":{"input_token":"Marker","limit_key":"Limit","output_token":"Marker","result_key":"DocumentVersions"},"DescribeFolderContents":{"input_token":"Marker","limit_key":"Limit","output_token":"Marker","result_key":["Folders","Documents"]},"DescribeUsers":{"input_token":"Marker","limit_key":"Limit","output_token":"Marker","result_key":"Users"}}}
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-/* 478 */
+/* 479 */
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@@ -47392,8 +47403,8 @@ return /******/ (function(modules) { // webpackBootstrap
AWS.WorkSpaces = Service.defineService('workspaces', ['2015-04-08']);
Object.defineProperty(apiLoader.services['workspaces'], '2015-04-08', {
get: function get() {
- var model = __webpack_require__(479);
- model.paginators = __webpack_require__(480).pagination;
+ var model = __webpack_require__(480);
+ model.paginators = __webpack_require__(481).pagination;
return model;
},
enumerable: true,
@@ -47404,19 +47415,19 @@ return /******/ (function(modules) { // webpackBootstrap
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+/* 480 */
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Object.defineProperty(apiLoader.services['marketplaceentitlementservice'], '2017-01-11', {
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Object.defineProperty(apiLoader.services['athena'], '2017-05-18', {
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return model;
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+/* 493 */
/***/ (function(module, exports) {
module.exports = {"pagination":{"GetQueryResults":{"input_token":"NextToken","output_token":"NextToken","limit_key":"MaxResults"},"ListNamedQueries":{"input_token":"NextToken","output_token":"NextToken","limit_key":"MaxResults"},"ListQueryExecutions":{"input_token":"NextToken","output_token":"NextToken","limit_key":"MaxResults"},"ListWorkGroups":{"input_token":"NextToken","output_token":"NextToken","limit_key":"MaxResults"}}}
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/***/ (function(module, exports, __webpack_require__) {
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@@ -47572,7 +47583,7 @@ return /******/ (function(modules) { // webpackBootstrap
AWS.Greengrass = Service.defineService('greengrass', ['2017-06-07']);
Object.defineProperty(apiLoader.services['greengrass'], '2017-06-07', {
get: function get() {
- var model = __webpack_require__(494);
+ var model = __webpack_require__(495);
return model;
},
enumerable: true,
@@ -47583,13 +47594,13 @@ return /******/ (function(modules) { // webpackBootstrap
/***/ }),
-/* 494 */
+/* 495 */
/***/ (function(module, exports) {
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AWS.DAX = Service.defineService('dax', ['2017-04-19']);
Object.defineProperty(apiLoader.services['dax'], '2017-04-19', {
get: function get() {
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- model.paginators = __webpack_require__(497).pagination;
+ var model = __webpack_require__(497);
+ model.paginators = __webpack_require__(498).pagination;
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@@ -47637,8 +47648,8 @@ return /******/ (function(modules) { // webpackBootstrap
AWS.MigrationHub = Service.defineService('migrationhub', ['2017-05-31']);
Object.defineProperty(apiLoader.services['migrationhub'], '2017-05-31', {
get: function get() {
- var model = __webpack_require__(499);
- model.paginators = __webpack_require__(500).pagination;
+ var model = __webpack_require__(500);
+ model.paginators = __webpack_require__(501).pagination;
return model;
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@@ -47649,19 +47660,19 @@ return /******/ (function(modules) { // webpackBootstrap
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/***/ (function(module, exports) {
module.exports = {"pagination":{"ListCreatedArtifacts":{"input_token":"NextToken","limit_key":"MaxResults","output_token":"NextToken","result_key":"CreatedArtifactList"},"ListDiscoveredResources":{"input_token":"NextToken","limit_key":"MaxResults","output_token":"NextToken","result_key":"DiscoveredResourceList"},"ListMigrationTasks":{"input_token":"NextToken","limit_key":"MaxResults","output_token":"NextToken","result_key":"MigrationTaskSummaryList"},"ListProgressUpdateStreams":{"input_token":"NextToken","limit_key":"MaxResults","output_token":"NextToken","result_key":"ProgressUpdateStreamSummaryList"}}}
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/***/ (function(module, exports, __webpack_require__) {
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@@ -47673,8 +47684,8 @@ return /******/ (function(modules) { // webpackBootstrap
AWS.CloudHSMV2 = Service.defineService('cloudhsmv2', ['2017-04-28']);
Object.defineProperty(apiLoader.services['cloudhsmv2'], '2017-04-28', {
get: function get() {
- var model = __webpack_require__(502);
- model.paginators = __webpack_require__(503).pagination;
+ var model = __webpack_require__(503);
+ model.paginators = __webpack_require__(504).pagination;
return model;
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@@ -47685,19 +47696,19 @@ return /******/ (function(modules) { // webpackBootstrap
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Object.defineProperty(apiLoader.services['mobile'], '2017-07-01', {
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Object.defineProperty(apiLoader.services['pricing'], '2017-10-15', {
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- model.paginators = __webpack_require__(512).pagination;
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AWS.MediaConvert = Service.defineService('mediaconvert', ['2017-08-29']);
Object.defineProperty(apiLoader.services['mediaconvert'], '2017-08-29', {
get: function get() {
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- model.paginators = __webpack_require__(518).pagination;
+ var model = __webpack_require__(518);
+ model.paginators = __webpack_require__(519).pagination;
return model;
},
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@@ -47865,19 +47876,19 @@ return /******/ (function(modules) { // webpackBootstrap
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/***/ }),
-/* 518 */
+/* 519 */
/***/ (function(module, exports) {
module.exports = {"pagination":{"DescribeEndpoints":{"input_token":"NextToken","output_token":"NextToken","limit_key":"MaxResults","result_key":"Endpoints"},"ListJobs":{"input_token":"NextToken","output_token":"NextToken","limit_key":"MaxResults","result_key":"Jobs"},"ListPresets":{"input_token":"NextToken","output_token":"NextToken","limit_key":"MaxResults","result_key":"Presets"},"ListJobTemplates":{"input_token":"NextToken","output_token":"NextToken","limit_key":"MaxResults","result_key":"JobTemplates"},"ListQueues":{"input_token":"NextToken","output_token":"NextToken","limit_key":"MaxResults","result_key":"Queues"}}}
/***/ }),
-/* 519 */
+/* 520 */
/***/ (function(module, exports, __webpack_require__) {
__webpack_require__(2);
@@ -47889,9 +47900,9 @@ return /******/ (function(modules) { // webpackBootstrap
AWS.MediaLive = Service.defineService('medialive', ['2017-10-14']);
Object.defineProperty(apiLoader.services['medialive'], '2017-10-14', {
get: function get() {
- var model = __webpack_require__(520);
- model.paginators = __webpack_require__(521).pagination;
- model.waiters = __webpack_require__(522).waiters;
+ var model = __webpack_require__(521);
+ model.paginators = __webpack_require__(522).pagination;
+ model.waiters = __webpack_require__(523).waiters;
return model;
},
enumerable: true,
@@ -47902,25 +47913,25 @@ return /******/ (function(modules) { // webpackBootstrap
/***/ }),
-/* 520 */
+/* 521 */
/***/ (function(module, exports) {
module.exports = {"metadata":{"apiVersion":"2017-10-14","endpointPrefix":"medialive","signingName":"medialive","serviceFullName":"AWS Elemental 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/***/ }),
-/* 521 */
+/* 522 */
/***/ (function(module, exports) {
module.exports = {"pagination":{"DescribeSchedule":{"input_token":"NextToken","output_token":"NextToken","limit_key":"MaxResults","result_key":"ScheduleActions"},"ListChannels":{"input_token":"NextToken","output_token":"NextToken","limit_key":"MaxResults","result_key":"Channels"},"ListInputSecurityGroups":{"input_token":"NextToken","output_token":"NextToken","limit_key":"MaxResults","result_key":"InputSecurityGroups"},"ListInputs":{"input_token":"NextToken","output_token":"NextToken","limit_key":"MaxResults","result_key":"Inputs"},"ListOfferings":{"input_token":"NextToken","output_token":"NextToken","limit_key":"MaxResults","result_key":"Offerings"},"ListReservations":{"input_token":"NextToken","output_token":"NextToken","limit_key":"MaxResults","result_key":"Reservations"},"ListMultiplexPrograms":{"input_token":"NextToken","output_token":"NextToken","limit_key":"MaxResults","result_key":"MultiplexPrograms"},"ListMultiplexes":{"input_token":"NextToken","output_token":"NextToken","limit_key":"MaxResults","result_key":"Multiplexes"}}}
/***/ }),
-/* 522 */
+/* 523 */
/***/ (function(module, exports) {
module.exports = {"version":2,"waiters":{"ChannelCreated":{"description":"Wait until a channel has been created","operation":"DescribeChannel","delay":3,"maxAttempts":5,"acceptors":[{"state":"success","matcher":"path","argument":"State","expected":"IDLE"},{"state":"retry","matcher":"path","argument":"State","expected":"CREATING"},{"state":"retry","matcher":"status","expected":500},{"state":"failure","matcher":"path","argument":"State","expected":"CREATE_FAILED"}]},"ChannelRunning":{"description":"Wait until a channel is running","operation":"DescribeChannel","delay":5,"maxAttempts":120,"acceptors":[{"state":"success","matcher":"path","argument":"State","expected":"RUNNING"},{"state":"retry","matcher":"path","argument":"State","expected":"STARTING"},{"state":"retry","matcher":"status","expected":500}]},"ChannelStopped":{"description":"Wait until a channel has is stopped","operation":"DescribeChannel","delay":5,"maxAttempts":28,"acceptors":[{"state":"success","matcher":"path","argument":"State","expected":"IDLE"},{"state":"retry","matcher":"path","argument":"State","expected":"STOPPING"},{"state":"retry","matcher":"status","expected":500}]},"ChannelDeleted":{"description":"Wait until a channel has been deleted","operation":"DescribeChannel","delay":5,"maxAttempts":20,"acceptors":[{"state":"success","matcher":"path","argument":"State","expected":"DELETED"},{"state":"retry","matcher":"path","argument":"State","expected":"DELETING"},{"state":"retry","matcher":"status","expected":500}]},"MultiplexCreated":{"description":"Wait until a multiplex has been created","operation":"DescribeMultiplex","delay":3,"maxAttempts":5,"acceptors":[{"state":"success","matcher":"path","argument":"State","expected":"IDLE"},{"state":"retry","matcher":"path","argument":"State","expected":"CREATING"},{"state":"retry","matcher":"status","expected":500},{"state":"failure","matcher":"path","argument":"State","expected":"CREATE_FAILED"}]},"MultiplexRunning":{"description":"Wait until a multiplex is running","operation":"DescribeMultiplex","delay":5,"maxAttempts":120,"acceptors":[{"state":"success","matcher":"path","argument":"State","expected":"RUNNING"},{"state":"retry","matcher":"path","argument":"State","expected":"STARTING"},{"state":"retry","matcher":"status","expected":500}]},"MultiplexStopped":{"description":"Wait until a multiplex has is stopped","operation":"DescribeMultiplex","delay":5,"maxAttempts":28,"acceptors":[{"state":"success","matcher":"path","argument":"State","expected":"IDLE"},{"state":"retry","matcher":"path","argument":"State","expected":"STOPPING"},{"state":"retry","matcher":"status","expected":500}]},"MultiplexDeleted":{"description":"Wait until a multiplex has been deleted","operation":"DescribeMultiplex","delay":5,"maxAttempts":20,"acceptors":[{"state":"success","matcher":"path","argument":"State","expected":"DELETED"},{"state":"retry","matcher":"path","argument":"State","expected":"DELETING"},{"state":"retry","matcher":"status","expected":500}]}}}
/***/ }),
-/* 523 */
+/* 524 */
/***/ (function(module, exports, __webpack_require__) {
__webpack_require__(2);
@@ -47932,8 +47943,8 @@ return /******/ (function(modules) { // webpackBootstrap
AWS.MediaPackage = Service.defineService('mediapackage', ['2017-10-12']);
Object.defineProperty(apiLoader.services['mediapackage'], '2017-10-12', {
get: function get() {
- var model = __webpack_require__(524);
- model.paginators = __webpack_require__(525).pagination;
+ var model = __webpack_require__(525);
+ model.paginators = __webpack_require__(526).pagination;
return model;
},
enumerable: true,
@@ -47944,19 +47955,19 @@ return /******/ (function(modules) { // webpackBootstrap
/***/ }),
-/* 524 */
+/* 525 */
/***/ (function(module, exports) {
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-/* 525 */
+/* 526 */
/***/ (function(module, exports) {
module.exports = {"pagination":{"ListChannels":{"input_token":"NextToken","output_token":"NextToken","limit_key":"MaxResults","result_key":"Channels"},"ListOriginEndpoints":{"input_token":"NextToken","output_token":"NextToken","limit_key":"MaxResults","result_key":"OriginEndpoints"},"ListHarvestJobs":{"input_token":"NextToken","output_token":"NextToken","limit_key":"MaxResults","result_key":"HarvestJobs"}}}
/***/ }),
-/* 526 */
+/* 527 */
/***/ (function(module, exports, __webpack_require__) {
__webpack_require__(2);
@@ -47968,8 +47979,8 @@ return /******/ (function(modules) { // webpackBootstrap
AWS.MediaStore = Service.defineService('mediastore', ['2017-09-01']);
Object.defineProperty(apiLoader.services['mediastore'], '2017-09-01', {
get: function get() {
- var model = __webpack_require__(527);
- model.paginators = __webpack_require__(528).pagination;
+ var model = __webpack_require__(528);
+ model.paginators = __webpack_require__(529).pagination;
return model;
},
enumerable: true,
@@ -47980,19 +47991,19 @@ return /******/ (function(modules) { // webpackBootstrap
/***/ }),
-/* 527 */
+/* 528 */
/***/ (function(module, exports) {
module.exports = {"version":"2.0","metadata":{"apiVersion":"2017-09-01","endpointPrefix":"mediastore","jsonVersion":"1.1","protocol":"json","serviceAbbreviation":"MediaStore","serviceFullName":"AWS Elemental MediaStore","serviceId":"MediaStore","signatureVersion":"v4","signingName":"mediastore","targetPrefix":"MediaStore_20170901","uid":"mediastore-2017-09-01"},"operations":{"CreateContainer":{"input":{"type":"structure","required":["ContainerName"],"members":{"ContainerName":{},"Tags":{"shape":"S3"}}},"output":{"type":"structure","required":["Container"],"members":{"Container":{"shape":"S8"}}}},"DeleteContainer":{"input":{"type":"structure","required":["ContainerName"],"members":{"ContainerName":{}}},"output":{"type":"structure","members":{}}},"DeleteContainerPolicy":{"input":{"type":"structure","required":["ContainerName"],"members":{"ContainerName":{}}},"output":{"type":"structure","members":{}}},"DeleteCorsPolicy":{"input":{"type":"structure","required":["ContainerName"],"members":{"ContainerName":{}}},"output":{"type":"structure","members":{}}},"DeleteLifecyclePolicy":{"input":{"type":"structure","required":["ContainerName"],"members":{"ContainerName":{}}},"output":{"type":"structure","members":{}}},"DescribeContainer":{"input":{"type":"structure","members":{"ContainerName":{}}},"output":{"type":"structure","members":{"Container":{"shape":"S8"}}}},"GetContainerPolicy":{"input":{"type":"structure","required":["ContainerName"],"members":{"ContainerName":{}}},"output":{"type":"structure","required":["Policy"],"members":{"Policy":{}}}},"GetCorsPolicy":{"input":{"type":"structure","required":["ContainerName"],"members":{"ContainerName":{}}},"output":{"type":"structure","required":["CorsPolicy"],"members":{"CorsPolicy":{"shape":"St"}}}},"GetLifecyclePolicy":{"input":{"type":"structure","required":["ContainerName"],"members":{"ContainerName":{}}},"output":{"type":"structure","required":["LifecyclePolicy"],"members":{"LifecyclePolicy":{}}}},"ListContainers":{"input":{"type":"structure","members":{"NextToken":{},"MaxResults":{"type":"integer"}}},"output":{"type":"structure","required":["Containers"],"members":{"Containers":{"type":"list","member":{"shape":"S8"}},"NextToken":{}}}},"ListTagsForResource":{"input":{"type":"structure","required":["Resource"],"members":{"Resource":{}}},"output":{"type":"structure","members":{"Tags":{"shape":"S3"}}}},"PutContainerPolicy":{"input":{"type":"structure","required":["ContainerName","Policy"],"members":{"ContainerName":{},"Policy":{}}},"output":{"type":"structure","members":{}}},"PutCorsPolicy":{"input":{"type":"structure","required":["ContainerName","CorsPolicy"],"members":{"ContainerName":{},"CorsPolicy":{"shape":"St"}}},"output":{"type":"structure","members":{}}},"PutLifecyclePolicy":{"input":{"type":"structure","required":["ContainerName","LifecyclePolicy"],"members":{"ContainerName":{},"LifecyclePolicy":{}}},"output":{"type":"structure","members":{}}},"StartAccessLogging":{"input":{"type":"structure","required":["ContainerName"],"members":{"ContainerName":{}}},"output":{"type":"structure","members":{}}},"StopAccessLogging":{"input":{"type":"structure","required":["ContainerName"],"members":{"ContainerName":{}}},"output":{"type":"structure","members":{}}},"TagResource":{"input":{"type":"structure","required":["Resource","Tags"],"members":{"Resource":{},"Tags":{"shape":"S3"}}},"output":{"type":"structure","members":{}}},"UntagResource":{"input":{"type":"structure","required":["Resource","TagKeys"],"members":{"Resource":{},"TagKeys":{"type":"list","member":{}}}},"output":{"type":"structure","members":{}}}},"shapes":{"S3":{"type":"list","member":{"type":"structure","required":["Key"],"members":{"Key":{},"Value":{}}}},"S8":{"type":"structure","members":{"Endpoint":{},"CreationTime":{"type":"timestamp"},"ARN":{},"Name":{},"Status":{},"AccessLoggingEnabled":{"type":"boolean"}}},"St":{"type":"list","member":{"type":"structure","required":["AllowedOrigins","AllowedHeaders"],"members":{"AllowedOrigins":{"type":"list","member":{}},"AllowedMethods":{"type":"list","member":{}},"AllowedHeaders":{"type":"list","member":{}},"MaxAgeSeconds":{"type":"integer"},"ExposeHeaders":{"type":"list","member":{}}}}}}}
/***/ }),
-/* 528 */
+/* 529 */
/***/ (function(module, exports) {
module.exports = {"pagination":{"ListContainers":{"input_token":"NextToken","output_token":"NextToken","limit_key":"MaxResults"}}}
/***/ }),
-/* 529 */
+/* 530 */
/***/ (function(module, exports, __webpack_require__) {
__webpack_require__(2);
@@ -48004,8 +48015,8 @@ return /******/ (function(modules) { // webpackBootstrap
AWS.MediaStoreData = Service.defineService('mediastoredata', ['2017-09-01']);
Object.defineProperty(apiLoader.services['mediastoredata'], '2017-09-01', {
get: function get() {
- var model = __webpack_require__(530);
- model.paginators = __webpack_require__(531).pagination;
+ var model = __webpack_require__(531);
+ model.paginators = __webpack_require__(532).pagination;
return model;
},
enumerable: true,
@@ -48016,19 +48027,19 @@ return /******/ (function(modules) { // webpackBootstrap
/***/ }),
-/* 530 */
+/* 531 */
/***/ (function(module, exports) {
module.exports = {"version":"2.0","metadata":{"apiVersion":"2017-09-01","endpointPrefix":"data.mediastore","protocol":"rest-json","serviceAbbreviation":"MediaStore Data","serviceFullName":"AWS Elemental MediaStore Data Plane","serviceId":"MediaStore Data","signatureVersion":"v4","signingName":"mediastore","uid":"mediastore-data-2017-09-01"},"operations":{"DeleteObject":{"http":{"method":"DELETE","requestUri":"/{Path+}"},"input":{"type":"structure","required":["Path"],"members":{"Path":{"location":"uri","locationName":"Path"}}},"output":{"type":"structure","members":{}}},"DescribeObject":{"http":{"method":"HEAD","requestUri":"/{Path+}"},"input":{"type":"structure","required":["Path"],"members":{"Path":{"location":"uri","locationName":"Path"}}},"output":{"type":"structure","members":{"ETag":{"location":"header","locationName":"ETag"},"ContentType":{"location":"header","locationName":"Content-Type"},"ContentLength":{"location":"header","locationName":"Content-Length","type":"long"},"CacheControl":{"location":"header","locationName":"Cache-Control"},"LastModified":{"location":"header","locationName":"Last-Modified","type":"timestamp"}}}},"GetObject":{"http":{"method":"GET","requestUri":"/{Path+}"},"input":{"type":"structure","required":["Path"],"members":{"Path":{"location":"uri","locationName":"Path"},"Range":{"location":"header","locationName":"Range"}}},"output":{"type":"structure","required":["StatusCode"],"members":{"Body":{"shape":"Se"},"CacheControl":{"location":"header","locationName":"Cache-Control"},"ContentRange":{"location":"header","locationName":"Content-Range"},"ContentLength":{"location":"header","locationName":"Content-Length","type":"long"},"ContentType":{"location":"header","locationName":"Content-Type"},"ETag":{"location":"header","locationName":"ETag"},"LastModified":{"location":"header","locationName":"Last-Modified","type":"timestamp"},"StatusCode":{"location":"statusCode","type":"integer"}},"payload":"Body"}},"ListItems":{"http":{"method":"GET"},"input":{"type":"structure","members":{"Path":{"location":"querystring","locationName":"Path"},"MaxResults":{"location":"querystring","locationName":"MaxResults","type":"integer"},"NextToken":{"location":"querystring","locationName":"NextToken"}}},"output":{"type":"structure","members":{"Items":{"type":"list","member":{"type":"structure","members":{"Name":{},"Type":{},"ETag":{},"LastModified":{"type":"timestamp"},"ContentType":{},"ContentLength":{"type":"long"}}}},"NextToken":{}}}},"PutObject":{"http":{"method":"PUT","requestUri":"/{Path+}"},"input":{"type":"structure","required":["Body","Path"],"members":{"Body":{"shape":"Se"},"Path":{"location":"uri","locationName":"Path"},"ContentType":{"location":"header","locationName":"Content-Type"},"CacheControl":{"location":"header","locationName":"Cache-Control"},"StorageClass":{"location":"header","locationName":"x-amz-storage-class"},"UploadAvailability":{"location":"header","locationName":"x-amz-upload-availability"}},"payload":"Body"},"output":{"type":"structure","members":{"ContentSHA256":{},"ETag":{},"StorageClass":{}}},"authtype":"v4-unsigned-body"}},"shapes":{"Se":{"type":"blob","streaming":true}}}
/***/ }),
-/* 531 */
+/* 532 */
/***/ (function(module, exports) {
module.exports = {"pagination":{"ListItems":{"input_token":"NextToken","output_token":"NextToken","limit_key":"MaxResults"}}}
/***/ }),
-/* 532 */
+/* 533 */
/***/ (function(module, exports, __webpack_require__) {
__webpack_require__(2);
@@ -48040,8 +48051,8 @@ return /******/ (function(modules) { // webpackBootstrap
AWS.AppSync = Service.defineService('appsync', ['2017-07-25']);
Object.defineProperty(apiLoader.services['appsync'], '2017-07-25', {
get: function get() {
- var model = __webpack_require__(533);
- model.paginators = __webpack_require__(534).pagination;
+ var model = __webpack_require__(534);
+ model.paginators = __webpack_require__(535).pagination;
return model;
},
enumerable: true,
@@ -48052,19 +48063,19 @@ return /******/ (function(modules) { // webpackBootstrap
/***/ }),
-/* 533 */
+/* 534 */
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-/* 535 */
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/***/ (function(module, exports, __webpack_require__) {
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AWS.GuardDuty = Service.defineService('guardduty', ['2017-11-28']);
Object.defineProperty(apiLoader.services['guardduty'], '2017-11-28', {
get: function get() {
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- model.paginators = __webpack_require__(537).pagination;
+ var model = __webpack_require__(537);
+ model.paginators = __webpack_require__(538).pagination;
return model;
},
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module.exports = {"pagination":{"ListDetectors":{"input_token":"NextToken","output_token":"NextToken","limit_key":"MaxResults","result_key":"DetectorIds"},"ListFilters":{"input_token":"NextToken","output_token":"NextToken","limit_key":"MaxResults","result_key":"FilterNames"},"ListFindings":{"input_token":"NextToken","output_token":"NextToken","limit_key":"MaxResults","result_key":"FindingIds"},"ListIPSets":{"input_token":"NextToken","output_token":"NextToken","limit_key":"MaxResults","result_key":"IpSetIds"},"ListInvitations":{"input_token":"NextToken","output_token":"NextToken","limit_key":"MaxResults","result_key":"Invitations"},"ListMembers":{"input_token":"NextToken","output_token":"NextToken","limit_key":"MaxResults","result_key":"Members"},"ListPublishingDestinations":{"input_token":"NextToken","output_token":"NextToken","limit_key":"MaxResults"},"ListThreatIntelSets":{"input_token":"NextToken","output_token":"NextToken","limit_key":"MaxResults","result_key":"ThreatIntelSetIds"}}}
/***/ }),
-/* 538 */
+/* 539 */
/***/ (function(module, exports, __webpack_require__) {
__webpack_require__(2);
@@ -48112,8 +48123,8 @@ return /******/ (function(modules) { // webpackBootstrap
AWS.MQ = Service.defineService('mq', ['2017-11-27']);
Object.defineProperty(apiLoader.services['mq'], '2017-11-27', {
get: function get() {
- var model = __webpack_require__(539);
- model.paginators = __webpack_require__(540).pagination;
+ var model = __webpack_require__(540);
+ model.paginators = __webpack_require__(541).pagination;
return model;
},
enumerable: true,
@@ -48124,19 +48135,19 @@ return /******/ (function(modules) { // webpackBootstrap
/***/ }),
-/* 539 */
+/* 540 */
/***/ (function(module, exports) {
module.exports = {"metadata":{"apiVersion":"2017-11-27","endpointPrefix":"mq","signingName":"mq","serviceFullName":"AmazonMQ","serviceId":"mq","protocol":"rest-json","jsonVersion":"1.1","uid":"mq-2017-11-27","signatureVersion":"v4"},"operations":{"CreateBroker":{"http":{"requestUri":"/v1/brokers","responseCode":200},"input":{"type":"structure","members":{"AutoMinorVersionUpgrade":{"locationName":"autoMinorVersionUpgrade","type":"boolean"},"BrokerName":{"locationName":"brokerName"},"Configuration":{"shape":"S4","locationName":"configuration"},"CreatorRequestId":{"locationName":"creatorRequestId","idempotencyToken":true},"DeploymentMode":{"locationName":"deploymentMode"},"EncryptionOptions":{"shape":"S7","locationName":"encryptionOptions"},"EngineType":{"locationName":"engineType"},"EngineVersion":{"locationName":"engineVersion"},"HostInstanceType":{"locationName":"hostInstanceType"},"Logs":{"shape":"S9","locationName":"logs"},"MaintenanceWindowStartTime":{"shape":"Sa","locationName":"maintenanceWindowStartTime"},"PubliclyAccessible":{"locationName":"publiclyAccessible","type":"boolean"},"SecurityGroups":{"shape":"Sc","locationName":"securityGroups"},"SubnetIds":{"shape":"Sc","locationName":"subnetIds"},"Tags":{"shape":"Sd","locationName":"tags"},"Users":{"locationName":"users","type":"list","member":{"type":"structure","members":{"ConsoleAccess":{"locationName":"consoleAccess","type":"boolean"},"Groups":{"shape":"Sc","locationName":"groups"},"Password":{"locationName":"password"},"Username":{"locationName":"username"}}}}}},"output":{"type":"structure","members":{"BrokerArn":{"locationName":"brokerArn"},"BrokerId":{"locationName":"brokerId"}}}},"CreateConfiguration":{"http":{"requestUri":"/v1/configurations","responseCode":200},"input":{"type":"structure","members":{"EngineType":{"locationName":"engineType"},"EngineVersion":{"locationName":"engineVersion"},"Name":{"locationName":"name"},"Tags":{"shape":"Sd","locationName":"tags"}}},"output":{"type":"structure","members":{"Arn":{"locationName":"arn"},"Created":{"shape":"Sj","locationName":"created"},"Id":{"locationName":"id"},"LatestRevision":{"shape":"Sk","locationName":"latestRevision"},"Name":{"locationName":"name"}}}},"CreateTags":{"http":{"requestUri":"/v1/tags/{resource-arn}","responseCode":204},"input":{"type":"structure","members":{"ResourceArn":{"location":"uri","locationName":"resource-arn"},"Tags":{"shape":"Sd","locationName":"tags"}},"required":["ResourceArn"]}},"CreateUser":{"http":{"requestUri":"/v1/brokers/{broker-id}/users/{username}","responseCode":200},"input":{"type":"structure","members":{"BrokerId":{"location":"uri","locationName":"broker-id"},"ConsoleAccess":{"locationName":"consoleAccess","type":"boolean"},"Groups":{"shape":"Sc","locationName":"groups"},"Password":{"locationName":"password"},"Username":{"location":"uri","locationName":"username"}},"required":["Username","BrokerId"]},"output":{"type":"structure","members":{}}},"DeleteBroker":{"http":{"method":"DELETE","requestUri":"/v1/brokers/{broker-id}","responseCode":200},"input":{"type":"structure","members":{"BrokerId":{"location":"uri","locationName":"broker-id"}},"required":["BrokerId"]},"output":{"type":"structure","members":{"BrokerId":{"locationName":"brokerId"}}}},"DeleteTags":{"http":{"method":"DELETE","requestUri":"/v1/tags/{resource-arn}","responseCode":204},"input":{"type":"structure","members":{"ResourceArn":{"location":"uri","locationName":"resource-arn"},"TagKeys":{"shape":"Sc","location":"querystring","locationName":"tagKeys"}},"required":["TagKeys","ResourceArn"]}},"DeleteUser":{"http":{"method":"DELETE","requestUri":"/v1/brokers/{broker-id}/users/{username}","responseCode":200},"input":{"type":"structure","members":{"BrokerId":{"location":"uri","locationName":"broker-id"},"Username":{"location":"uri","locationName":"username"}},"required":["Username","BrokerId"]},"output":{"type":"structure","members":{}}},"DescribeBroker":{"http":{"method":"GET","requestUri":"/v1/brokers/{broker-id}","responseCode":200},"input":{"type":"structure","members":{"BrokerId":{"location":"uri","locationName":"broker-id"}},"required":["BrokerId"]},"output":{"type":"structure","members":{"AutoMinorVersionUpgrade":{"locationName":"autoMinorVersionUpgrade","type":"boolean"},"BrokerArn":{"locationName":"brokerArn"},"BrokerId":{"locationName":"brokerId"},"BrokerInstances":{"locationName":"brokerInstances","type":"list","member":{"type":"structure","members":{"ConsoleURL":{"locationName":"consoleURL"},"Endpoints":{"shape":"Sc","locationName":"endpoints"},"IpAddress":{"locationName":"ipAddress"}}}},"BrokerName":{"locationName":"brokerName"},"BrokerState":{"locationName":"brokerState"},"Configurations":{"locationName":"configurations","type":"structure","members":{"Current":{"shape":"S4","locationName":"current"},"History":{"locationName":"history","type":"list","member":{"shape":"S4"}},"Pending":{"shape":"S4","locationName":"pending"}}},"Created":{"shape":"Sj","locationName":"created"},"DeploymentMode":{"locationN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/***/ }),
-/* 540 */
+/* 541 */
/***/ (function(module, exports) {
module.exports = {"pagination":{}}
/***/ }),
-/* 541 */
+/* 542 */
/***/ (function(module, exports, __webpack_require__) {
__webpack_require__(2);
@@ -48148,8 +48159,8 @@ return /******/ (function(modules) { // webpackBootstrap
AWS.Comprehend = Service.defineService('comprehend', ['2017-11-27']);
Object.defineProperty(apiLoader.services['comprehend'], '2017-11-27', {
get: function get() {
- var model = __webpack_require__(542);
- model.paginators = __webpack_require__(543).pagination;
+ var model = __webpack_require__(543);
+ model.paginators = __webpack_require__(544).pagination;
return model;
},
enumerable: true,
@@ -48160,19 +48171,19 @@ return /******/ (function(modules) { // webpackBootstrap
/***/ }),
-/* 542 */
+/* 543 */
/***/ (function(module, exports) {
module.exports = {"version":"2.0","metadata":{"apiVersion":"2017-11-27","endpointPrefix":"comprehend","jsonVersion":"1.1","protocol":"json","serviceFullName":"Amazon 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AWS.IoTJobsDataPlane = Service.defineService('iotjobsdataplane', ['2017-09-29']);
Object.defineProperty(apiLoader.services['iotjobsdataplane'], '2017-09-29', {
get: function get() {
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- model.paginators = __webpack_require__(546).pagination;
+ var model = __webpack_require__(546);
+ model.paginators = __webpack_require__(547).pagination;
return model;
},
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@@ -48220,8 +48231,8 @@ return /******/ (function(modules) { // webpackBootstrap
AWS.KinesisVideoArchivedMedia = Service.defineService('kinesisvideoarchivedmedia', ['2017-09-30']);
Object.defineProperty(apiLoader.services['kinesisvideoarchivedmedia'], '2017-09-30', {
get: function get() {
- var model = __webpack_require__(548);
- model.paginators = __webpack_require__(549).pagination;
+ var model = __webpack_require__(549);
+ model.paginators = __webpack_require__(550).pagination;
return model;
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/***/ (function(module, exports, __webpack_require__) {
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@@ -48256,8 +48267,8 @@ return /******/ (function(modules) { // webpackBootstrap
AWS.KinesisVideoMedia = Service.defineService('kinesisvideomedia', ['2017-09-30']);
Object.defineProperty(apiLoader.services['kinesisvideomedia'], '2017-09-30', {
get: function get() {
- var model = __webpack_require__(551);
- model.paginators = __webpack_require__(552).pagination;
+ var model = __webpack_require__(552);
+ model.paginators = __webpack_require__(553).pagination;
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@@ -48268,19 +48279,19 @@ return /******/ (function(modules) { // webpackBootstrap
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module.exports = {"version":"2.0","metadata":{"apiVersion":"2017-09-30","endpointPrefix":"kinesisvideo","protocol":"rest-json","serviceAbbreviation":"Kinesis Video Media","serviceFullName":"Amazon Kinesis Video Streams Media","serviceId":"Kinesis Video Media","signatureVersion":"v4","uid":"kinesis-video-media-2017-09-30"},"operations":{"GetMedia":{"http":{"requestUri":"/getMedia"},"input":{"type":"structure","required":["StartSelector"],"members":{"StreamName":{},"StreamARN":{},"StartSelector":{"type":"structure","required":["StartSelectorType"],"members":{"StartSelectorType":{},"AfterFragmentNumber":{},"StartTimestamp":{"type":"timestamp"},"ContinuationToken":{}}}}},"output":{"type":"structure","members":{"ContentType":{"location":"header","locationName":"Content-Type"},"Payload":{"type":"blob","streaming":true}},"payload":"Payload"}}},"shapes":{}}
/***/ }),
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+/* 553 */
/***/ (function(module, exports) {
module.exports = {"pagination":{}}
/***/ }),
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/***/ (function(module, exports, __webpack_require__) {
__webpack_require__(2);
@@ -48292,8 +48303,8 @@ return /******/ (function(modules) { // webpackBootstrap
AWS.KinesisVideo = Service.defineService('kinesisvideo', ['2017-09-30']);
Object.defineProperty(apiLoader.services['kinesisvideo'], '2017-09-30', {
get: function get() {
- var model = __webpack_require__(554);
- model.paginators = __webpack_require__(555).pagination;
+ var model = __webpack_require__(555);
+ model.paginators = __webpack_require__(556).pagination;
return model;
},
enumerable: true,
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/***/ }),
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/***/ (function(module, exports) {
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/***/ }),
-/* 555 */
+/* 556 */
/***/ (function(module, exports) {
module.exports = {"pagination":{"ListStreams":{"input_token":"NextToken","limit_key":"MaxResults","output_token":"NextToken","result_key":"StreamInfoList"}}}
/***/ }),
-/* 556 */
+/* 557 */
/***/ (function(module, exports, __webpack_require__) {
__webpack_require__(2);
@@ -48328,8 +48339,8 @@ return /******/ (function(modules) { // webpackBootstrap
AWS.SageMakerRuntime = Service.defineService('sagemakerruntime', ['2017-05-13']);
Object.defineProperty(apiLoader.services['sagemakerruntime'], '2017-05-13', {
get: function get() {
- var model = __webpack_require__(557);
- model.paginators = __webpack_require__(558).pagination;
+ var model = __webpack_require__(558);
+ model.paginators = __webpack_require__(559).pagination;
return model;
},
enumerable: true,
@@ -48340,19 +48351,19 @@ return /******/ (function(modules) { // webpackBootstrap
/***/ }),
-/* 557 */
+/* 558 */
/***/ (function(module, exports) {
module.exports = {"version":"2.0","metadata":{"apiVersion":"2017-05-13","endpointPrefix":"runtime.sagemaker","jsonVersion":"1.1","protocol":"rest-json","serviceFullName":"Amazon SageMaker Runtime","serviceId":"SageMaker Runtime","signatureVersion":"v4","signingName":"sagemaker","uid":"runtime.sagemaker-2017-05-13"},"operations":{"InvokeEndpoint":{"http":{"requestUri":"/endpoints/{EndpointName}/invocations"},"input":{"type":"structure","required":["EndpointName","Body"],"members":{"EndpointName":{"location":"uri","locationName":"EndpointName"},"Body":{"shape":"S3"},"ContentType":{"location":"header","locationName":"Content-Type"},"Accept":{"location":"header","locationName":"Accept"},"CustomAttributes":{"shape":"S5","location":"header","locationName":"X-Amzn-SageMaker-Custom-Attributes"},"TargetModel":{"location":"header","locationName":"X-Amzn-SageMaker-Target-Model"}},"payload":"Body"},"output":{"type":"structure","required":["Body"],"members":{"Body":{"shape":"S3"},"ContentType":{"location":"header","locationName":"Content-Type"},"InvokedProductionVariant":{"location":"header","locationName":"x-Amzn-Invoked-Production-Variant"},"CustomAttributes":{"shape":"S5","location":"header","locationName":"X-Amzn-SageMaker-Custom-Attributes"}},"payload":"Body"}}},"shapes":{"S3":{"type":"blob","sensitive":true},"S5":{"type":"string","sensitive":true}}}
/***/ }),
-/* 558 */
+/* 559 */
/***/ (function(module, exports) {
module.exports = {"pagination":{}}
/***/ }),
-/* 559 */
+/* 560 */
/***/ (function(module, exports, __webpack_require__) {
__webpack_require__(2);
@@ -48364,9 +48375,9 @@ return /******/ (function(modules) { // webpackBootstrap
AWS.SageMaker = Service.defineService('sagemaker', ['2017-07-24']);
Object.defineProperty(apiLoader.services['sagemaker'], '2017-07-24', {
get: function get() {
- var model = __webpack_require__(560);
- model.paginators = __webpack_require__(561).pagination;
- model.waiters = __webpack_require__(562).waiters;
+ var model = __webpack_require__(561);
+ model.paginators = __webpack_require__(562).pagination;
+ model.waiters = __webpack_require__(563).waiters;
return model;
},
enumerable: true,
@@ -48377,25 +48388,25 @@ return /******/ (function(modules) { // webpackBootstrap
/***/ }),
-/* 560 */
+/* 561 */
/***/ (function(module, exports) {
- module.exports = {"version":"2.0","metadata":{"apiVersion":"2017-07-24","endpointPrefix":"api.sagemaker","jsonVersion":"1.1","protocol":"json","serviceAbbreviation":"SageMaker","serviceFullName":"Amazon SageMaker 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@@ -48407,8 +48418,8 @@ return /******/ (function(modules) { // webpackBootstrap
AWS.Translate = Service.defineService('translate', ['2017-07-01']);
Object.defineProperty(apiLoader.services['translate'], '2017-07-01', {
get: function get() {
- var model = __webpack_require__(564);
- model.paginators = __webpack_require__(565).pagination;
+ var model = __webpack_require__(565);
+ model.paginators = __webpack_require__(566).pagination;
return model;
},
enumerable: true,
@@ -48419,19 +48430,19 @@ return /******/ (function(modules) { // webpackBootstrap
/***/ }),
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+/* 565 */
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module.exports = {"version":"2.0","metadata":{"apiVersion":"2017-07-01","endpointPrefix":"translate","jsonVersion":"1.1","protocol":"json","serviceFullName":"Amazon Translate","serviceId":"Translate","signatureVersion":"v4","signingName":"translate","targetPrefix":"AWSShineFrontendService_20170701","uid":"translate-2017-07-01"},"operations":{"DeleteTerminology":{"input":{"type":"structure","required":["Name"],"members":{"Name":{}}}},"GetTerminology":{"input":{"type":"structure","required":["Name","TerminologyDataFormat"],"members":{"Name":{},"TerminologyDataFormat":{}}},"output":{"type":"structure","members":{"TerminologyProperties":{"shape":"S6"},"TerminologyDataLocation":{"type":"structure","required":["RepositoryType","Location"],"members":{"RepositoryType":{},"Location":{}}}}}},"ImportTerminology":{"input":{"type":"structure","required":["Name","MergeStrategy","TerminologyData"],"members":{"Name":{},"MergeStrategy":{},"Description":{},"TerminologyData":{"type":"structure","required":["File","Format"],"members":{"File":{"type":"blob","sensitive":true},"Format":{}}},"EncryptionKey":{"shape":"Sb"}}},"output":{"type":"structure","members":{"TerminologyProperties":{"shape":"S6"}}}},"ListTerminologies":{"input":{"type":"structure","members":{"NextToken":{},"MaxResults":{"type":"integer"}}},"output":{"type":"structure","members":{"TerminologyPropertiesList":{"type":"list","member":{"shape":"S6"}},"NextToken":{}}}},"TranslateText":{"input":{"type":"structure","required":["Text","SourceLanguageCode","TargetLanguageCode"],"members":{"Text":{},"TerminologyNames":{"type":"list","member":{}},"SourceLanguageCode":{},"TargetLanguageCode":{}}},"output":{"type":"structure","required":["TranslatedText","SourceLanguageCode","TargetLanguageCode"],"members":{"TranslatedText":{},"SourceLanguageCode":{},"TargetLanguageCode":{},"AppliedTerminologies":{"type":"list","member":{"type":"structure","members":{"Name":{},"Terms":{"type":"list","member":{"type":"structure","members":{"SourceText":{},"TargetText":{}}}}}}}}}}},"shapes":{"S6":{"type":"structure","members":{"Name":{},"Description":{},"Arn":{},"SourceLanguageCode":{},"TargetLanguageCodes":{"type":"list","member":{}},"EncryptionKey":{"shape":"Sb"},"SizeBytes":{"type":"integer"},"TermCount":{"type":"integer"},"CreatedAt":{"type":"timestamp"},"LastUpdatedAt":{"type":"timestamp"}}},"Sb":{"type":"structure","required":["Type","Id"],"members":{"Type":{},"Id":{}}}}}
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/***/ (function(module, exports) {
module.exports = {"pagination":{}}
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/***/ (function(module, exports, __webpack_require__) {
__webpack_require__(2);
@@ -48443,8 +48454,8 @@ return /******/ (function(modules) { // webpackBootstrap
AWS.ResourceGroups = Service.defineService('resourcegroups', ['2017-11-27']);
Object.defineProperty(apiLoader.services['resourcegroups'], '2017-11-27', {
get: function get() {
- var model = __webpack_require__(567);
- model.paginators = __webpack_require__(568).pagination;
+ var model = __webpack_require__(568);
+ model.paginators = __webpack_require__(569).pagination;
return model;
},
enumerable: true,
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-/* 568 */
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/***/ (function(module, exports) {
module.exports = {"pagination":{"ListGroupResources":{"input_token":"NextToken","output_token":"NextToken","limit_key":"MaxResults"},"ListGroups":{"input_token":"NextToken","output_token":"NextToken","limit_key":"MaxResults"},"SearchResources":{"input_token":"NextToken","output_token":"NextToken","limit_key":"MaxResults"}}}
/***/ }),
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/***/ (function(module, exports, __webpack_require__) {
__webpack_require__(2);
@@ -48479,8 +48490,8 @@ return /******/ (function(modules) { // webpackBootstrap
AWS.AlexaForBusiness = Service.defineService('alexaforbusiness', ['2017-11-09']);
Object.defineProperty(apiLoader.services['alexaforbusiness'], '2017-11-09', {
get: function get() {
- var model = __webpack_require__(570);
- model.paginators = __webpack_require__(571).pagination;
+ var model = __webpack_require__(571);
+ model.paginators = __webpack_require__(572).pagination;
return model;
},
enumerable: true,
@@ -48491,19 +48502,19 @@ return /******/ (function(modules) { // webpackBootstrap
/***/ }),
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/***/ (function(module, exports) {
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/***/ }),
-/* 577 */
+/* 578 */
/***/ (function(module, exports) {
module.exports = {"pagination":{"ListApplicationVersions":{"input_token":"NextToken","output_token":"NextToken","limit_key":"MaxItems"},"ListApplications":{"input_token":"NextToken","output_token":"NextToken","limit_key":"MaxItems"},"ListApplicationDependencies":{"input_token":"NextToken","output_token":"NextToken","limit_key":"MaxItems"}}}
/***/ }),
-/* 578 */
+/* 579 */
/***/ (function(module, exports, __webpack_require__) {
__webpack_require__(2);
@@ -48587,8 +48598,8 @@ return /******/ (function(modules) { // webpackBootstrap
AWS.ServiceDiscovery = Service.defineService('servicediscovery', ['2017-03-14']);
Object.defineProperty(apiLoader.services['servicediscovery'], '2017-03-14', {
get: function get() {
- var model = __webpack_require__(579);
- model.paginators = __webpack_require__(580).pagination;
+ var model = __webpack_require__(580);
+ model.paginators = __webpack_require__(581).pagination;
return model;
},
enumerable: true,
@@ -48599,19 +48610,19 @@ return /******/ (function(modules) { // webpackBootstrap
/***/ }),
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+/* 580 */
/***/ (function(module, exports) {
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/***/ }),
-/* 580 */
+/* 581 */
/***/ (function(module, exports) {
module.exports = {"pagination":{"GetInstancesHealthStatus":{"input_token":"NextToken","output_token":"NextToken","limit_key":"MaxResults"},"ListInstances":{"input_token":"NextToken","output_token":"NextToken","limit_key":"MaxResults"},"ListNamespaces":{"input_token":"NextToken","output_token":"NextToken","limit_key":"MaxResults"},"ListOperations":{"input_token":"NextToken","output_token":"NextToken","limit_key":"MaxResults"},"ListServices":{"input_token":"NextToken","output_token":"NextToken","limit_key":"MaxResults"}}}
/***/ }),
-/* 581 */
+/* 582 */
/***/ (function(module, exports, __webpack_require__) {
__webpack_require__(2);
@@ -48623,8 +48634,8 @@ return /******/ (function(modules) { // webpackBootstrap
AWS.WorkMail = Service.defineService('workmail', ['2017-10-01']);
Object.defineProperty(apiLoader.services['workmail'], '2017-10-01', {
get: function get() {
- var model = __webpack_require__(582);
- model.paginators = __webpack_require__(583).pagination;
+ var model = __webpack_require__(583);
+ model.paginators = __webpack_require__(584).pagination;
return model;
},
enumerable: true,
@@ -48635,19 +48646,19 @@ return /******/ (function(modules) { // webpackBootstrap
/***/ }),
-/* 582 */
+/* 583 */
/***/ (function(module, exports) {
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AWS.AutoScalingPlans = Service.defineService('autoscalingplans', ['2018-01-06']);
Object.defineProperty(apiLoader.services['autoscalingplans'], '2018-01-06', {
get: function get() {
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- model.paginators = __webpack_require__(586).pagination;
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AWS.TranscribeService = Service.defineService('transcribeservice', ['2017-10-26']);
Object.defineProperty(apiLoader.services['transcribeservice'], '2017-10-26', {
get: function get() {
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- model.paginators = __webpack_require__(589).pagination;
+ var model = __webpack_require__(589);
+ model.paginators = __webpack_require__(590).pagination;
return model;
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@@ -48731,8 +48742,8 @@ return /******/ (function(modules) { // webpackBootstrap
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Object.defineProperty(apiLoader.services['connect'], '2017-08-08', {
get: function get() {
- var model = __webpack_require__(591);
- model.paginators = __webpack_require__(592).pagination;
+ var model = __webpack_require__(592);
+ model.paginators = __webpack_require__(593).pagination;
return model;
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/***/ }),
-/* 592 */
+/* 593 */
/***/ (function(module, exports) {
module.exports = {"pagination":{"GetCurrentMetricData":{"input_token":"NextToken","limit_key":"MaxResults","output_token":"NextToken"},"GetMetricData":{"input_token":"NextToken","limit_key":"MaxResults","output_token":"NextToken"},"ListContactFlows":{"input_token":"NextToken","limit_key":"MaxResults","output_token":"NextToken","result_key":"ContactFlowSummaryList"},"ListHoursOfOperations":{"input_token":"NextToken","limit_key":"MaxResults","output_token":"NextToken","result_key":"HoursOfOperationSummaryList"},"ListPhoneNumbers":{"input_token":"NextToken","limit_key":"MaxResults","output_token":"NextToken","result_key":"PhoneNumberSummaryList"},"ListQueues":{"input_token":"NextToken","limit_key":"MaxResults","output_token":"NextToken","result_key":"QueueSummaryList"},"ListRoutingProfiles":{"input_token":"NextToken","limit_key":"MaxResults","output_token":"NextToken","result_key":"RoutingProfileSummaryList"},"ListSecurityProfiles":{"input_token":"NextToken","limit_key":"MaxResults","output_token":"NextToken","result_key":"SecurityProfileSummaryList"},"ListUserHierarchyGroups":{"input_token":"NextToken","limit_key":"MaxResults","output_token":"NextToken","result_key":"UserHierarchyGroupSummaryList"},"ListUsers":{"input_token":"NextToken","limit_key":"MaxResults","output_token":"NextToken","result_key":"UserSummaryList"}}}
/***/ }),
-/* 593 */
+/* 594 */
/***/ (function(module, exports, __webpack_require__) {
__webpack_require__(2);
@@ -48767,9 +48778,9 @@ return /******/ (function(modules) { // webpackBootstrap
AWS.ACMPCA = Service.defineService('acmpca', ['2017-08-22']);
Object.defineProperty(apiLoader.services['acmpca'], '2017-08-22', {
get: function get() {
- var model = __webpack_require__(594);
- model.paginators = __webpack_require__(595).pagination;
- model.waiters = __webpack_require__(596).waiters;
+ var model = __webpack_require__(595);
+ model.paginators = __webpack_require__(596).pagination;
+ model.waiters = __webpack_require__(597).waiters;
return model;
},
enumerable: true,
@@ -48780,25 +48791,25 @@ return /******/ (function(modules) { // webpackBootstrap
/***/ }),
-/* 594 */
+/* 595 */
/***/ (function(module, exports) {
module.exports = {"version":"2.0","metadata":{"apiVersion":"2017-08-22","endpointPrefix":"acm-pca","jsonVersion":"1.1","protocol":"json","serviceAbbreviation":"ACM-PCA","serviceFullName":"AWS Certificate Manager Private Certificate Authority","serviceId":"ACM 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members":{"CertificateAuthorityArn":{},"RevocationConfiguration":{"shape":"Se"},"Status":{}}}}},"shapes":{"S2":{"type":"structure","required":["KeyAlgorithm","SigningAlgorithm","Subject"],"members":{"KeyAlgorithm":{},"SigningAlgorithm":{},"Subject":{"type":"structure","members":{"Country":{},"Organization":{},"OrganizationalUnit":{},"DistinguishedNameQualifier":{},"State":{},"CommonName":{},"SerialNumber":{},"Locality":{},"Title":{},"Surname":{},"GivenName":{},"Initials":{},"Pseudonym":{},"GenerationQualifier":{}}}}},"Se":{"type":"structure","members":{"CrlConfiguration":{"type":"structure","required":["Enabled"],"members":{"Enabled":{"type":"boolean"},"ExpirationInDays":{"type":"integer"},"CustomCname":{},"S3BucketName":{}}}}},"Sm":{"type":"list","member":{"type":"structure","required":["Key"],"members":{"Key":{},"Value":{}}}},"S10":{"type":"list","member":{}},"S17":{"type":"structure","members":{"Arn":{},"CreatedAt":{"type":"timestamp"},"LastStateChangeAt":{"type":"timestamp"},"Type":{},"Serial":{},"Status":{},"NotBefore":{"type":"timestamp"},"NotAfter":{"type":"timestamp"},"FailureReason":{},"CertificateAuthorityConfiguration":{"shape":"S2"},"RevocationConfiguration":{"shape":"Se"},"RestorableUntil":{"type":"timestamp"}}}}}
/***/ }),
-/* 595 */
+/* 596 */
/***/ (function(module, exports) {
module.exports = {"pagination":{"ListCertificateAuthorities":{"input_token":"NextToken","limit_key":"MaxResults","output_token":"NextToken","result_key":"CertificateAuthorities"},"ListPermissions":{"input_token":"NextToken","limit_key":"MaxResults","output_token":"NextToken","result_key":"Permissions"},"ListTags":{"input_token":"NextToken","limit_key":"MaxResults","output_token":"NextToken","result_key":"Tags"}}}
/***/ }),
-/* 596 */
+/* 597 */
/***/ (function(module, exports) {
module.exports = {"version":2,"waiters":{"CertificateAuthorityCSRCreated":{"description":"Wait until a Certificate Authority CSR is created","operation":"GetCertificateAuthorityCsr","delay":3,"maxAttempts":60,"acceptors":[{"state":"success","matcher":"status","expected":200},{"state":"retry","matcher":"error","expected":"RequestInProgressException"}]},"CertificateIssued":{"description":"Wait until a certificate is issued","operation":"GetCertificate","delay":3,"maxAttempts":60,"acceptors":[{"state":"success","matcher":"status","expected":200},{"state":"retry","matcher":"error","expected":"RequestInProgressException"}]},"AuditReportCreated":{"description":"Wait until a Audit Report is created","operation":"DescribeCertificateAuthorityAuditReport","delay":3,"maxAttempts":60,"acceptors":[{"state":"success","matcher":"path","argument":"AuditReportStatus","expected":"SUCCESS"},{"state":"failure","matcher":"path","argument":"AuditReportStatus","expected":"FAILED"}]}}}
/***/ }),
-/* 597 */
+/* 598 */
/***/ (function(module, exports, __webpack_require__) {
__webpack_require__(2);
@@ -48810,8 +48821,8 @@ return /******/ (function(modules) { // webpackBootstrap
AWS.FMS = Service.defineService('fms', ['2018-01-01']);
Object.defineProperty(apiLoader.services['fms'], '2018-01-01', {
get: function get() {
- var model = __webpack_require__(598);
- model.paginators = __webpack_require__(599).pagination;
+ var model = __webpack_require__(599);
+ model.paginators = __webpack_require__(600).pagination;
return model;
},
enumerable: true,
@@ -48822,19 +48833,19 @@ return /******/ (function(modules) { // webpackBootstrap
/***/ }),
-/* 598 */
+/* 599 */
/***/ (function(module, exports) {
module.exports = {"version":"2.0","metadata":{"apiVersion":"2018-01-01","endpointPrefix":"fms","jsonVersion":"1.1","protocol":"json","serviceAbbreviation":"FMS","serviceFullName":"Firewall Management Service","serviceId":"FMS","signatureVersion":"v4","targetPrefix":"AWSFMS_20180101","uid":"fms-2018-01-01"},"operations":{"AssociateAdminAccount":{"input":{"type":"structure","required":["AdminAccount"],"members":{"AdminAccount":{}}}},"DeleteNotificationChannel":{"input":{"type":"structure","members":{}}},"DeletePolicy":{"input":{"type":"structure","required":["PolicyId"],"members":{"PolicyId":{},"DeleteAllPolicyResources":{"type":"boolean"}}}},"DisassociateAdminAccount":{"input":{"type":"structure","members":{}}},"GetAdminAccount":{"input":{"type":"structure","members":{}},"output":{"type":"structure","members":{"AdminAccount":{},"RoleStatus":{}}}},"GetComplianceDetail":{"input":{"type":"structure","required":["PolicyId","MemberAccount"],"members":{"PolicyId":{},"MemberAccount":{}}},"output":{"type":"structure","members":{"PolicyComplianceDetail":{"type":"structure","members":{"PolicyOwner":{},"PolicyId":{},"MemberAccount":{},"Violators":{"type":"list","member":{"type":"structure","members":{"ResourceId":{},"ViolationReason":{},"ResourceType":{}}}},"EvaluationLimitExceeded":{"type":"boolean"},"ExpiredAt":{"type":"timestamp"},"IssueInfoMap":{"shape":"Sk"}}}}}},"GetNotificationChannel":{"input":{"type":"structure","members":{}},"output":{"type":"structure","members":{"SnsTopicArn":{},"SnsRoleName":{}}}},"GetPolicy":{"input":{"type":"structure","required":["PolicyId"],"members":{"PolicyId":{}}},"output":{"type":"structure","members":{"Policy":{"shape":"Ss"},"PolicyArn":{}}}},"GetProtectionStatus":{"input":{"type":"structure","required":["PolicyId"],"members":{"PolicyId":{},"MemberAccountId":{},"StartTime":{"type":"timestamp"},"EndTime":{"type":"timestamp"},"NextToken":{},"MaxResults":{"type":"integer"}}},"output":{"type":"structure","members":{"AdminAccountId":{},"ServiceType":{},"Data":{},"NextToken":{}}}},"ListComplianceStatus":{"input":{"type":"structure","required":["PolicyId"],"members":{"PolicyId":{},"NextToken":{},"MaxResults":{"type":"integer"}}},"output":{"type":"structure","members":{"PolicyComplianceStatusList":{"type":"list","member":{"type":"structure","members":{"PolicyOwner":{},"PolicyId":{},"PolicyName":{},"MemberAccount":{},"EvaluationResults":{"type":"list","member":{"type":"structure","members":{"ComplianceStatus":{},"ViolatorCount":{"type":"long"},"EvaluationLimitExceeded":{"type":"boolean"}}}},"LastUpdated":{"type":"timestamp"},"IssueInfoMap":{"shape":"Sk"}}}},"NextToken":{}}}},"ListMemberAccounts":{"input":{"type":"structure","members":{"NextToken":{},"MaxResults":{"type":"integer"}}},"output":{"type":"structure","members":{"MemberAccounts":{"type":"list","member":{}},"NextToken":{}}}},"ListPolicies":{"input":{"type":"structure","members":{"NextToken":{},"MaxResults":{"type":"integer"}}},"output":{"type":"structure","members":{"PolicyList":{"type":"list","member":{"type":"structure","members":{"PolicyArn":{},"PolicyId":{},"PolicyName":{},"ResourceType":{},"SecurityServiceType":{},"RemediationEnabled":{"type":"boolean"}}}},"NextToken":{}}}},"PutNotificationChannel":{"input":{"type":"structure","required":["SnsTopicArn","SnsRoleName"],"members":{"SnsTopicArn":{},"SnsRoleName":{}}}},"PutPolicy":{"input":{"type":"structure","required":["Policy"],"members":{"Policy":{"shape":"Ss"}}},"output":{"type":"structure","members":{"Policy":{"shape":"Ss"},"PolicyArn":{}}}}},"shapes":{"Sk":{"type":"map","key":{},"value":{}},"Ss":{"type":"structure","required":["PolicyName","SecurityServicePolicyData","ResourceType","ExcludeResourceTags","RemediationEnabled"],"members":{"PolicyId":{},"PolicyName":{},"PolicyUpdateToken":{},"SecurityServicePolicyData":{"type":"structure","required":["Type"],"members":{"Type":{},"ManagedServiceData":{}}},"ResourceType":{},"ResourceTypeList":{"type":"list","member":{}},"ResourceTags":{"type":"list","member":{"type":"structure","required":["Key"],"members":{"Key":{},"Value":{}}}},"ExcludeResourceTags":{"type":"boolean"},"RemediationEnabled":{"type":"boolean"},"IncludeMap":{"shape":"S13"},"ExcludeMap":{"shape":"S13"}}},"S13":{"type":"map","key":{},"value":{"type":"list","member":{}}}}}
/***/ }),
-/* 599 */
+/* 600 */
/***/ (function(module, exports) {
module.exports = {"pagination":{"ListComplianceStatus":{"input_token":"NextToken","limit_key":"MaxResults","output_token":"NextToken","result_key":"PolicyComplianceStatusList"},"ListMemberAccounts":{"input_token":"NextToken","limit_key":"MaxResults","output_token":"NextToken","result_key":"MemberAccounts"},"ListPolicies":{"input_token":"NextToken","limit_key":"MaxResults","output_token":"NextToken","result_key":"PolicyList"}}}
/***/ }),
-/* 600 */
+/* 601 */
/***/ (function(module, exports, __webpack_require__) {
__webpack_require__(2);
@@ -48846,8 +48857,8 @@ return /******/ (function(modules) { // webpackBootstrap
AWS.SecretsManager = Service.defineService('secretsmanager', ['2017-10-17']);
Object.defineProperty(apiLoader.services['secretsmanager'], '2017-10-17', {
get: function get() {
- var model = __webpack_require__(601);
- model.paginators = __webpack_require__(602).pagination;
+ var model = __webpack_require__(602);
+ model.paginators = __webpack_require__(603).pagination;
return model;
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Object.defineProperty(apiLoader.services['iotanalytics'], '2017-11-27', {
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- model.paginators = __webpack_require__(605).pagination;
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Object.defineProperty(apiLoader.services['iot1clickdevicesservice'], '2018-05-14', {
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return model;
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UpdateDeviceState":{"http":{"method":"PUT","requestUri":"/devices/{deviceId}/state","responseCode":200},"input":{"type":"structure","members":{"DeviceId":{"location":"uri","locationName":"deviceId"},"Enabled":{"locationName":"enabled","type":"boolean"}},"required":["DeviceId"]},"output":{"type":"structure","members":{}}}},"shapes":{"S8":{"type":"structure","members":{"Arn":{"locationName":"arn"},"Attributes":{"locationName":"attributes","type":"map","key":{},"value":{}},"DeviceId":{"locationName":"deviceId"},"Enabled":{"locationName":"enabled","type":"boolean"},"RemainingLife":{"locationName":"remainingLife","type":"double"},"Type":{"locationName":"type"},"Tags":{"shape":"Sc","locationName":"tags"}}},"Sc":{"type":"map","key":{},"value":{}},"Si":{"type":"structure","members":{"DeviceType":{"locationName":"deviceType"},"MethodName":{"locationName":"methodName"}}},"So":{"type":"timestamp","timestampFormat":"iso8601"}}}
/***/ }),
-/* 608 */
+/* 609 */
/***/ (function(module, exports, __webpack_require__) {
__webpack_require__(2);
@@ -48947,8 +48958,8 @@ return /******/ (function(modules) { // webpackBootstrap
AWS.IoT1ClickProjects = Service.defineService('iot1clickprojects', ['2018-05-14']);
Object.defineProperty(apiLoader.services['iot1clickprojects'], '2018-05-14', {
get: function get() {
- var model = __webpack_require__(609);
- model.paginators = __webpack_require__(610).pagination;
+ var model = __webpack_require__(610);
+ model.paginators = __webpack_require__(611).pagination;
return model;
},
enumerable: true,
@@ -48959,19 +48970,19 @@ return /******/ (function(modules) { // webpackBootstrap
/***/ }),
-/* 609 */
+/* 610 */
/***/ (function(module, exports) {
module.exports = {"version":"2.0","metadata":{"apiVersion":"2018-05-14","endpointPrefix":"projects.iot1click","jsonVersion":"1.1","protocol":"rest-json","serviceAbbreviation":"AWS IoT 1-Click Projects","serviceFullName":"AWS IoT 1-Click Projects Service","serviceId":"IoT 1Click 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/***/ }),
-/* 610 */
+/* 611 */
/***/ (function(module, exports) {
module.exports = {"pagination":{"ListPlacements":{"input_token":"nextToken","limit_key":"maxResults","output_token":"nextToken","result_key":"placements"},"ListProjects":{"input_token":"nextToken","limit_key":"maxResults","output_token":"nextToken","result_key":"projects"}}}
/***/ }),
-/* 611 */
+/* 612 */
/***/ (function(module, exports, __webpack_require__) {
__webpack_require__(2);
@@ -48983,8 +48994,8 @@ return /******/ (function(modules) { // webpackBootstrap
AWS.PI = Service.defineService('pi', ['2018-02-27']);
Object.defineProperty(apiLoader.services['pi'], '2018-02-27', {
get: function get() {
- var model = __webpack_require__(612);
- model.paginators = __webpack_require__(613).pagination;
+ var model = __webpack_require__(613);
+ model.paginators = __webpack_require__(614).pagination;
return model;
},
enumerable: true,
@@ -48995,19 +49006,19 @@ return /******/ (function(modules) { // webpackBootstrap
/***/ }),
-/* 612 */
+/* 613 */
/***/ (function(module, exports) {
module.exports = {"version":"2.0","metadata":{"apiVersion":"2018-02-27","endpointPrefix":"pi","jsonVersion":"1.1","protocol":"json","serviceAbbreviation":"AWS PI","serviceFullName":"AWS Performance Insights","serviceId":"PI","signatureVersion":"v4","signingName":"pi","targetPrefix":"PerformanceInsightsv20180227","uid":"pi-2018-02-27"},"operations":{"DescribeDimensionKeys":{"input":{"type":"structure","required":["ServiceType","Identifier","StartTime","EndTime","Metric","GroupBy"],"members":{"ServiceType":{},"Identifier":{},"StartTime":{"type":"timestamp"},"EndTime":{"type":"timestamp"},"Metric":{},"PeriodInSeconds":{"type":"integer"},"GroupBy":{"shape":"S6"},"PartitionBy":{"shape":"S6"},"Filter":{"shape":"S9"},"MaxResults":{"type":"integer"},"NextToken":{}}},"output":{"type":"structure","members":{"AlignedStartTime":{"type":"timestamp"},"AlignedEndTime":{"type":"timestamp"},"PartitionKeys":{"type":"list","member":{"type":"structure","required":["Dimensions"],"members":{"Dimensions":{"shape":"Se"}}}},"Keys":{"type":"list","member":{"type":"structure","members":{"Dimensions":{"shape":"Se"},"Total":{"type":"double"},"Partitions":{"type":"list","member":{"type":"double"}}}}},"NextToken":{}}}},"GetResourceMetrics":{"input":{"type":"structure","required":["ServiceType","Identifier","MetricQueries","StartTime","EndTime"],"members":{"ServiceType":{},"Identifier":{},"MetricQueries":{"type":"list","member":{"type":"structure","required":["Metric"],"members":{"Metric":{},"GroupBy":{"shape":"S6"},"Filter":{"shape":"S9"}}}},"StartTime":{"type":"timestamp"},"EndTime":{"type":"timestamp"},"PeriodInSeconds":{"type":"integer"},"MaxResults":{"type":"integer"},"NextToken":{}}},"output":{"type":"structure","members":{"AlignedStartTime":{"type":"timestamp"},"AlignedEndTime":{"type":"timestamp"},"Identifier":{},"MetricList":{"type":"list","member":{"type":"structure","members":{"Key":{"type":"structure","required":["Metric"],"members":{"Metric":{},"Dimensions":{"shape":"Se"}}},"DataPoints":{"type":"list","member":{"type":"structure","required":["Timestamp","Value"],"members":{"Timestamp":{"type":"timestamp"},"Value":{"type":"double"}}}}}}},"NextToken":{}}}}},"shapes":{"S6":{"type":"structure","required":["Group"],"members":{"Group":{},"Dimensions":{"type":"list","member":{}},"Limit":{"type":"integer"}}},"S9":{"type":"map","key":{},"value":{}},"Se":{"type":"map","key":{},"value":{}}}}
/***/ }),
-/* 613 */
+/* 614 */
/***/ (function(module, exports) {
module.exports = {"pagination":{}}
/***/ }),
-/* 614 */
+/* 615 */
/***/ (function(module, exports, __webpack_require__) {
__webpack_require__(2);
@@ -49019,9 +49030,9 @@ return /******/ (function(modules) { // webpackBootstrap
AWS.Neptune = Service.defineService('neptune', ['2014-10-31']);
Object.defineProperty(apiLoader.services['neptune'], '2014-10-31', {
get: function get() {
- var model = __webpack_require__(615);
- model.paginators = __webpack_require__(616).pagination;
- model.waiters = __webpack_require__(617).waiters;
+ var model = __webpack_require__(616);
+ model.paginators = __webpack_require__(617).pagination;
+ model.waiters = __webpack_require__(618).waiters;
return model;
},
enumerable: true,
@@ -49032,25 +49043,25 @@ return /******/ (function(modules) { // webpackBootstrap
/***/ }),
-/* 615 */
+/* 616 */
/***/ (function(module, exports) {
module.exports = {"version":"2.0","metadata":{"apiVersion":"2014-10-31","endpointPrefix":"rds","protocol":"query","serviceAbbreviation":"Amazon Neptune","serviceFullName":"Amazon 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AWS.MediaTailor = Service.defineService('mediatailor', ['2018-04-23']);
Object.defineProperty(apiLoader.services['mediatailor'], '2018-04-23', {
get: function get() {
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- model.paginators = __webpack_require__(620).pagination;
+ var model = __webpack_require__(620);
+ model.paginators = __webpack_require__(621).pagination;
return model;
},
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/***/ }),
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+/* 622 */
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__webpack_require__(2);
@@ -49098,9 +49109,9 @@ return /******/ (function(modules) { // webpackBootstrap
AWS.EKS = Service.defineService('eks', ['2017-11-01']);
Object.defineProperty(apiLoader.services['eks'], '2017-11-01', {
get: function get() {
- var model = __webpack_require__(622);
- model.paginators = __webpack_require__(623).pagination;
- model.waiters = __webpack_require__(624).waiters;
+ var model = __webpack_require__(623);
+ model.paginators = __webpack_require__(624).pagination;
+ model.waiters = __webpack_require__(625).waiters;
return model;
},
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@@ -49111,25 +49122,25 @@ return /******/ (function(modules) { // webpackBootstrap
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+/* 623 */
/***/ (function(module, exports) {
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/***/ }),
-/* 623 */
+/* 624 */
/***/ (function(module, exports) {
module.exports = {"pagination":{"ListClusters":{"input_token":"nextToken","limit_key":"maxResults","output_token":"nextToken","result_key":"clusters"},"ListFargateProfiles":{"input_token":"nextToken","limit_key":"maxResults","output_token":"nextToken","result_key":"fargateProfileNames"},"ListNodegroups":{"input_token":"nextToken","limit_key":"maxResults","output_token":"nextToken","result_key":"nodegroups"},"ListUpdates":{"input_token":"nextToken","limit_key":"maxResults","output_token":"nextToken","result_key":"updateIds"}}}
/***/ }),
-/* 624 */
+/* 625 */
/***/ (function(module, exports) {
module.exports = {"version":2,"waiters":{"ClusterActive":{"delay":30,"operation":"DescribeCluster","maxAttempts":40,"acceptors":[{"expected":"DELETING","matcher":"path","state":"failure","argument":"cluster.status"},{"expected":"FAILED","matcher":"path","state":"failure","argument":"cluster.status"},{"expected":"ACTIVE","matcher":"path","state":"success","argument":"cluster.status"}]},"ClusterDeleted":{"delay":30,"operation":"DescribeCluster","maxAttempts":40,"acceptors":[{"expected":"ACTIVE","matcher":"path","state":"failure","argument":"cluster.status"},{"expected":"CREATING","matcher":"path","state":"failure","argument":"cluster.status"},{"expected":"ResourceNotFoundException","matcher":"error","state":"success"}]},"NodegroupActive":{"delay":30,"operation":"DescribeNodegroup","maxAttempts":80,"acceptors":[{"expected":"CREATE_FAILED","matcher":"path","state":"failure","argument":"nodegroup.status"},{"expected":"ACTIVE","matcher":"path","state":"success","argument":"nodegroup.status"}]},"NodegroupDeleted":{"delay":30,"operation":"DescribeNodegroup","maxAttempts":40,"acceptors":[{"expected":"DELETE_FAILED","matcher":"path","state":"failure","argument":"nodegroup.status"},{"expected":"ResourceNotFoundException","matcher":"error","state":"success"}]}}}
/***/ }),
-/* 625 */
+/* 626 */
/***/ (function(module, exports, __webpack_require__) {
__webpack_require__(2);
@@ -49141,8 +49152,8 @@ return /******/ (function(modules) { // webpackBootstrap
AWS.Macie = Service.defineService('macie', ['2017-12-19']);
Object.defineProperty(apiLoader.services['macie'], '2017-12-19', {
get: function get() {
- var model = __webpack_require__(626);
- model.paginators = __webpack_require__(627).pagination;
+ var model = __webpack_require__(627);
+ model.paginators = __webpack_require__(628).pagination;
return model;
},
enumerable: true,
@@ -49153,19 +49164,19 @@ return /******/ (function(modules) { // webpackBootstrap
/***/ }),
-/* 626 */
+/* 627 */
/***/ (function(module, exports) {
module.exports = {"version":"2.0","metadata":{"apiVersion":"2017-12-19","endpointPrefix":"macie","jsonVersion":"1.1","protocol":"json","serviceFullName":"Amazon Macie","serviceId":"Macie","signatureVersion":"v4","targetPrefix":"MacieService","uid":"macie-2017-12-19"},"operations":{"AssociateMemberAccount":{"input":{"type":"structure","required":["memberAccountId"],"members":{"memberAccountId":{}}}},"AssociateS3Resources":{"input":{"type":"structure","required":["s3Resources"],"members":{"memberAccountId":{},"s3Resources":{"shape":"S4"}}},"output":{"type":"structure","members":{"failedS3Resources":{"shape":"Sc"}}}},"DisassociateMemberAccount":{"input":{"type":"structure","required":["memberAccountId"],"members":{"memberAccountId":{}}}},"DisassociateS3Resources":{"input":{"type":"structure","required":["associatedS3Resources"],"members":{"memberAccountId":{},"associatedS3Resources":{"type":"list","member":{"shape":"Se"}}}},"output":{"type":"structure","members":{"failedS3Resources":{"shape":"Sc"}}}},"ListMemberAccounts":{"input":{"type":"structure","members":{"nextToken":{},"maxResults":{"type":"integer"}}},"output":{"type":"structure","members":{"memberAccounts":{"type":"list","member":{"type":"structure","members":{"accountId":{}}}},"nextToken":{}}}},"ListS3Resources":{"input":{"type":"structure","members":{"memberAccountId":{},"nextToken":{},"maxResults":{"type":"integer"}}},"output":{"type":"structure","members":{"s3Resources":{"shape":"S4"},"nextToken":{}}}},"UpdateS3Resources":{"input":{"type":"structure","required":["s3ResourcesUpdate"],"members":{"memberAccountId":{},"s3ResourcesUpdate":{"type":"list","member":{"type":"structure","required":["bucketName","classificationTypeUpdate"],"members":{"bucketName":{},"prefix":{},"classificationTypeUpdate":{"type":"structure","members":{"oneTime":{},"continuous":{}}}}}}}},"output":{"type":"structure","members":{"failedS3Resources":{"shape":"Sc"}}}}},"shapes":{"S4":{"type":"list","member":{"type":"structure","required":["bucketName","classificationType"],"members":{"bucketName":{},"prefix":{},"classificationType":{"type":"structure","required":["oneTime","continuous"],"members":{"oneTime":{},"continuous":{}}}}}},"Sc":{"type":"list","member":{"type":"structure","members":{"failedItem":{"shape":"Se"},"errorCode":{},"errorMessage":{}}}},"Se":{"type":"structure","required":["bucketName"],"members":{"bucketName":{},"prefix":{}}}}}
/***/ }),
-/* 627 */
+/* 628 */
/***/ (function(module, exports) {
module.exports = {"pagination":{"ListMemberAccounts":{"input_token":"nextToken","output_token":"nextToken","limit_key":"maxResults"},"ListS3Resources":{"input_token":"nextToken","output_token":"nextToken","limit_key":"maxResults"}}}
/***/ }),
-/* 628 */
+/* 629 */
/***/ (function(module, exports, __webpack_require__) {
__webpack_require__(2);
@@ -49177,8 +49188,8 @@ return /******/ (function(modules) { // webpackBootstrap
AWS.DLM = Service.defineService('dlm', ['2018-01-12']);
Object.defineProperty(apiLoader.services['dlm'], '2018-01-12', {
get: function get() {
- var model = __webpack_require__(629);
- model.paginators = __webpack_require__(630).pagination;
+ var model = __webpack_require__(630);
+ model.paginators = __webpack_require__(631).pagination;
return model;
},
enumerable: true,
@@ -49189,19 +49200,19 @@ return /******/ (function(modules) { // webpackBootstrap
/***/ }),
-/* 629 */
+/* 630 */
/***/ (function(module, exports) {
module.exports = {"version":"2.0","metadata":{"apiVersion":"2018-01-12","endpointPrefix":"dlm","jsonVersion":"1.1","protocol":"rest-json","serviceAbbreviation":"Amazon DLM","serviceFullName":"Amazon Data Lifecycle Manager","serviceId":"DLM","signatureVersion":"v4","signingName":"dlm","uid":"dlm-2018-01-12"},"operations":{"CreateLifecyclePolicy":{"http":{"requestUri":"/policies"},"input":{"type":"structure","required":["ExecutionRoleArn","Description","State","PolicyDetails"],"members":{"ExecutionRoleArn":{},"Description":{},"State":{},"PolicyDetails":{"shape":"S5"},"Tags":{"shape":"Sv"}}},"output":{"type":"structure","members":{"PolicyId":{}}}},"DeleteLifecyclePolicy":{"http":{"method":"DELETE","requestUri":"/policies/{policyId}/"},"input":{"type":"structure","required":["PolicyId"],"members":{"PolicyId":{"location":"uri","locationName":"policyId"}}},"output":{"type":"structure","members":{}}},"GetLifecyclePolicies":{"http":{"method":"GET","requestUri":"/policies"},"input":{"type":"structure","members":{"PolicyIds":{"location":"querystring","locationName":"policyIds","type":"list","member":{}},"State":{"location":"querystring","locationName":"state"},"ResourceTypes":{"shape":"S7","location":"querystring","locationName":"resourceTypes"},"TargetTags":{"location":"querystring","locationName":"targetTags","type":"list","member":{}},"TagsToAdd":{"location":"querystring","locationName":"tagsToAdd","type":"list","member":{}}}},"output":{"type":"structure","members":{"Policies":{"type":"list","member":{"type":"structure","members":{"PolicyId":{},"Description":{},"State":{},"Tags":{"shape":"Sv"}}}}}}},"GetLifecyclePolicy":{"http":{"method":"GET","requestUri":"/policies/{policyId}/"},"input":{"type":"structure","required":["PolicyId"],"members":{"PolicyId":{"location":"uri","locationName":"policyId"}}},"output":{"type":"structure","members":{"Policy":{"type":"structure","members":{"PolicyId":{},"Description":{},"State":{},"StatusMessage":{},"ExecutionRoleArn":{},"DateCreated":{"shape":"S1f"},"DateModified":{"shape":"S1f"},"PolicyDetails":{"shape":"S5"},"Tags":{"shape":"Sv"},"PolicyArn":{}}}}}},"ListTagsForResource":{"http":{"method":"GET","requestUri":"/tags/{resourceArn}"},"input":{"type":"structure","required":["ResourceArn"],"members":{"ResourceArn":{"location":"uri","locationName":"resourceArn"}}},"output":{"type":"structure","members":{"Tags":{"shape":"Sv"}}}},"TagResource":{"http":{"requestUri":"/tags/{resourceArn}"},"input":{"type":"structure","required":["ResourceArn","Tags"],"members":{"ResourceArn":{"location":"uri","locationName":"resourceArn"},"Tags":{"shape":"Sv"}}},"output":{"type":"structure","members":{}}},"UntagResource":{"http":{"method":"DELETE","requestUri":"/tags/{resourceArn}"},"input":{"type":"structure","required":["ResourceArn","TagKeys"],"members":{"ResourceArn":{"location":"uri","locationName":"resourceArn"},"TagKeys":{"location":"querystring","locationName":"tagKeys","type":"list","member":{}}}},"output":{"type":"structure","members":{}}},"UpdateLifecyclePolicy":{"http":{"method":"PATCH","requestUri":"/policies/{policyId}"},"input":{"type":"structure","required":["PolicyId"],"members":{"PolicyId":{"location":"uri","locationName":"policyId"},"ExecutionRoleArn":{},"State":{},"Description":{},"PolicyDetails":{"shape":"S5"}}},"output":{"type":"structure","members":{}}}},"shapes":{"S5":{"type":"structure","members":{"PolicyType":{},"ResourceTypes":{"shape":"S7"},"TargetTags":{"type":"list","member":{"shape":"Sa"}},"Schedules":{"type":"list","member":{"type":"structure","members":{"Name":{},"CopyTags":{"type":"boolean"},"TagsToAdd":{"type":"list","member":{"shape":"Sa"}},"VariableTags":{"type":"list","member":{"shape":"Sa"}},"CreateRule":{"type":"structure","required":["Interval","IntervalUnit"],"members":{"Interval":{"type":"integer"},"IntervalUnit":{},"Times":{"type":"list","member":{}}}},"RetainRule":{"type":"structure","members":{"Count":{"type":"integer"},"Interval":{"type":"integer"},"IntervalUnit":{}}},"FastRestoreRule":{"type":"structure","required":["AvailabilityZones"],"members":{"Count":{"type":"integer"},"Interval":{"type":"integer"},"IntervalUnit":{},"AvailabilityZones":{"type":"list","member":{}}}}}}},"Parameters":{"type":"structure","members":{"ExcludeBootVolume":{"type":"boolean"}}}}},"S7":{"type":"list","member":{}},"Sa":{"type":"structure","required":["Key","Value"],"members":{"Key":{},"Value":{}}},"Sv":{"type":"map","key":{},"value":{}},"S1f":{"type":"timestamp","timestampFormat":"iso8601"}}}
/***/ }),
-/* 630 */
+/* 631 */
/***/ (function(module, exports) {
module.exports = {"pagination":{}}
/***/ }),
-/* 631 */
+/* 632 */
/***/ (function(module, exports, __webpack_require__) {
__webpack_require__(2);
@@ -49213,9 +49224,9 @@ return /******/ (function(modules) { // webpackBootstrap
AWS.Signer = Service.defineService('signer', ['2017-08-25']);
Object.defineProperty(apiLoader.services['signer'], '2017-08-25', {
get: function get() {
- var model = __webpack_require__(632);
- model.paginators = __webpack_require__(633).pagination;
- model.waiters = __webpack_require__(634).waiters;
+ var model = __webpack_require__(633);
+ model.paginators = __webpack_require__(634).pagination;
+ model.waiters = __webpack_require__(635).waiters;
return model;
},
enumerable: true,
@@ -49226,25 +49237,25 @@ return /******/ (function(modules) { // webpackBootstrap
/***/ }),
-/* 632 */
+/* 633 */
/***/ (function(module, exports) {
module.exports = {"version":"2.0","metadata":{"apiVersion":"2017-08-25","endpointPrefix":"signer","jsonVersion":"1.1","protocol":"rest-json","serviceAbbreviation":"signer","serviceFullName":"AWS 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/***/ }),
-/* 633 */
+/* 634 */
/***/ (function(module, exports) {
module.exports = {"pagination":{"ListSigningJobs":{"input_token":"nextToken","output_token":"nextToken","limit_key":"maxResults"},"ListSigningPlatforms":{"input_token":"nextToken","output_token":"nextToken","limit_key":"maxResults"},"ListSigningProfiles":{"input_token":"nextToken","output_token":"nextToken","limit_key":"maxResults"}}}
/***/ }),
-/* 634 */
+/* 635 */
/***/ (function(module, exports) {
module.exports = {"version":2,"waiters":{"SuccessfulSigningJob":{"delay":20,"operation":"DescribeSigningJob","maxAttempts":25,"acceptors":[{"expected":"Succeeded","matcher":"path","state":"success","argument":"status"},{"expected":"Failed","matcher":"path","state":"failure","argument":"status"},{"expected":"ResourceNotFoundException","matcher":"error","state":"failure"}]}}}
/***/ }),
-/* 635 */
+/* 636 */
/***/ (function(module, exports, __webpack_require__) {
__webpack_require__(2);
@@ -49256,8 +49267,8 @@ return /******/ (function(modules) { // webpackBootstrap
AWS.Chime = Service.defineService('chime', ['2018-05-01']);
Object.defineProperty(apiLoader.services['chime'], '2018-05-01', {
get: function get() {
- var model = __webpack_require__(636);
- model.paginators = __webpack_require__(637).pagination;
+ var model = __webpack_require__(637);
+ model.paginators = __webpack_require__(638).pagination;
return model;
},
enumerable: true,
@@ -49268,19 +49279,19 @@ return /******/ (function(modules) { // webpackBootstrap
/***/ }),
-/* 636 */
+/* 637 */
/***/ (function(module, exports) {
module.exports = {"version":"2.0","metadata":{"apiVersion":"2018-05-01","endpointPrefix":"chime","protocol":"rest-json","serviceFullName":"Amazon Chime","serviceId":"Chime","signatureVersion":"v4","uid":"chime-2018-05-01"},"operations":{"AssociatePhoneNumberWithUser":{"http":{"requestUri":"/accounts/{accountId}/users/{userId}?operation=associate-phone-number","responseCode":200},"input":{"type":"structure","required":["AccountId","UserId","E164PhoneNumber"],"members":{"AccountId":{"location":"uri","locationName":"accountId"},"UserId":{"location":"uri","locationName":"userId"},"E164PhoneNumber":{"shape":"S3"}}},"output":{"type":"structure","members":{}}},"AssociatePhoneNumbersWithVoiceConnector":{"http":{"requestUri":"/voice-connectors/{voiceConnectorId}?operation=associate-phone-numbers","responseCode":200},"input":{"type":"structure","required":["VoiceConnectorId"],"members":{"VoiceConnectorId":{"location":"uri","locationName":"voiceConnectorId"},"E164PhoneNumbers":{"shape":"S7"},"ForceAssociate":{"type":"boolean"}}},"output":{"type":"structure","members":{"PhoneNumberErrors":{"shape":"Sa"}}}},"AssociatePhoneNumbersWithVoiceConnectorGroup":{"http":{"requestUri":"/voice-connector-groups/{voiceConnectorGroupId}?operation=associate-phone-numbers","responseCode":200},"input":{"type":"structure","required":["VoiceConnectorGroupId"],"members":{"VoiceConnectorGroupId":{"location":"uri","locationName":"voiceConnectorGroupId"},"E164PhoneNumbers":{"shape":"S7"},"ForceAssociate":{"type":"boolean"}}},"output":{"type":"structure","members":{"PhoneNumberErrors":{"shape":"Sa"}}}},"BatchCreateAttendee":{"http":{"requestUri":"/meetings/{meetingId}/attendees?operation=batch-create","responseCode":201},"input":{"type":"structure","required":["MeetingId","Attendees"],"members":{"MeetingId":{"location":"uri","locationName":"meetingId"},"Attendees":{"type":"list","member":{"type":"structure","required":["ExternalUserId"],"members":{"ExternalUserId":{"shape":"Sj"}}}}}},"output":{"type":"structure","members":{"Attendees":{"shape":"Sl"},"Errors":{"type":"list","member":{"type":"structure","members":{"ExternalUserId":{"shape":"Sj"},"ErrorCode":{},"ErrorMessage":{}}}}}}},"BatchCreateRoomMembership":{"http":{"requestUri":"/accounts/{accountId}/rooms/{roomId}/memberships?operation=batch-create","responseCode":201},"input":{"type":"structure","required":["AccountId","RoomId","MembershipItemList"],"members":{"AccountId":{"location":"uri","locationName":"accountId"},"RoomId":{"location":"uri","locationName":"roomId"},"MembershipItemList":{"type":"list","member":{"type":"structure","members":{"MemberId":{},"Role":{}}}}}},"output":{"type":"structure","members":{"Errors":{"type":"list","member":{"type":"structure","members":{"MemberId":{},"ErrorCode":{},"ErrorMessage":{}}}}}}},"BatchDeletePhoneNumber":{"http":{"requestUri":"/phone-numbers?operation=batch-delete","responseCode":200},"input":{"type":"structure","required":["PhoneNumberIds"],"members":{"PhoneNumberIds":{"type":"list","member":{}}}},"output":{"type":"structure","members":{"PhoneNumberErrors":{"shape":"Sa"}}}},"BatchSuspendUser":{"http":{"requestUri":"/accounts/{accountId}/users?operation=suspend","responseCode":200},"input":{"type":"structure","required":["AccountId","UserIdList"],"members":{"AccountId":{"location":"uri","locationName":"accountId"},"UserIdList":{"shape":"S11"}}},"output":{"type":"structure","members":{"UserErrors":{"shape":"S13"}}}},"BatchUnsuspendUser":{"http":{"requestUri":"/accounts/{accountId}/users?operation=unsuspend","responseCode":200},"input":{"type":"structure","required":["AccountId","UserIdList"],"members":{"AccountId":{"location":"uri","locationName":"accountId"},"UserIdList":{"shape":"S11"}}},"output":{"type":"structure","members":{"UserErrors":{"shape":"S13"}}}},"BatchUpdatePhoneNumber":{"http":{"requestUri":"/phone-numbers?operation=batch-update","responseCode":200},"input":{"type":"structure","required":["UpdatePhoneNumberRequestItems"],"members":{"UpdatePhoneNumberRequestItems":{"type":"list","member":{"type":"structure","required":["PhoneNumberId"],"members":{"PhoneNumberId":{},"ProductType":{},"CallingName":{"shape":"S1b"}}}}}},"output":{"type":"structure","members":{"PhoneNumberErrors":{"shape":"Sa"}}}},"BatchUpdateUser":{"http":{"requestUri":"/accounts/{accountId}/users","responseCode":200},"input":{"type":"structure","required":["AccountId","UpdateUserRequestItems"],"members":{"AccountId":{"location":"uri","locationName":"accountId"},"UpdateUserRequestItems":{"type":"list","member":{"type":"structure","required":["UserId"],"members":{"UserId":{},"LicenseType":{}}}}}},"output":{"type":"structure","members":{"UserErrors":{"shape":"S13"}}}},"CreateAccount":{"http":{"requestUri":"/accounts","responseCode":201},"input":{"type":"structure","required":["Name"],"members":{"Name":{}}},"output":{"type":"structure","members":{"Account":{"shape":"S1l"}}}},"CreateAttendee":{"http":{"requestUri":"/meetings/{meetingId}/attendees","responseCode":201},"input":{"type":"structure","required":["MeetingId","ExternalUserId"],"members":{"MeetingId":{"location":"uri","locationName":"meetingId"},"ExternalU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PhoneNumberId"],"members":{"PhoneNumberId":{"location":"uri","locationName":"phoneNumberId"}}},"output":{"type":"structure","members":{"PhoneNumber":{"shape":"S40"}}}},"GetPhoneNumberOrder":{"http":{"method":"GET","requestUri":"/phone-number-orders/{phoneNumberOrderId}","responseCode":200},"input":{"type":"structure","required":["PhoneNumberOrderId"],"members":{"PhoneNumberOrderId":{"location":"uri","locationName":"phoneNumberOrderId"}}},"output":{"type":"structure","members":{"PhoneNumberOrder":{"shape":"S26"}}}},"GetPhoneNumberSettings":{"http":{"method":"GET","requestUri":"/settings/phone-number","responseCode":200},"output":{"type":"structure","members":{"CallingName":{"shape":"S1b"},"CallingNameUpdatedTimestamp":{"shape":"S1n"}}}},"GetRoom":{"http":{"method":"GET","requestUri":"/accounts/{accountId}/rooms/{roomId}","responseCode":200},"input":{"type":"structure","required":["AccountId","RoomId"],"members":{"AccountId":{"location":"uri","locationName":"accountId"},"RoomId":{"location":"uri","locationName":"roomId"}}},"output":{"type":"structure","members":{"Room":{"shape":"S2d"}}}},"GetUser":{"http":{"method":"GET","requestUri":"/accounts/{accountId}/users/{userId}","responseCode":200},"input":{"type":"structure","required":["AccountId","UserId"],"members":{"AccountId":{"location":"uri","locationName":"accountId"},"UserId":{"location":"uri","locationName":"userId"}}},"output":{"type":"structure","members":{"User":{"shape":"S4f"}}}},"GetUserSettings":{"http":{"method":"GET","requestUri":"/accounts/{accountId}/users/{userId}/settings","responseCode":200},"input":{"type":"structure","required":["AccountId","UserId"],"members":{"AccountId":{"location":"uri","locationName":"accountId"},"UserId":{"location":"uri","locationName":"userId"}}},"output":{"type":"structure","members":{"UserSettings":{"shape":"S4l"}}}},"GetVoiceConnector":{"http":{"method":"GET","requestUri":"/voice-connectors/{voiceConnectorId}","responseCode":200},"input":{"type":"structure","required":["VoiceConnectorId"],"members":{"VoiceConnectorId":{"location":"uri","locationName":"voiceConnectorId"}}},"output":{"type":"structure","members":{"VoiceConnector":{"shape":"S2o"}}}},"GetVoiceConnectorGroup":{"http":{"method":"GET","requestUri":"/voice-connector-groups/{voiceConnectorGroupId}","responseCode":200},"input":{"type":"structure","required":["VoiceConnectorGroupId"],"members":{"VoiceConnectorGroupId":{"location":"uri","locationName":"voiceConnectorGroupId"}}},"output":{"type":"structure","members":{"VoiceConnectorGroup":{"shape":"S2v"}}}},"GetVoiceConnectorLoggingConfiguration":{"http":{"method":"GET","requestUri":"/voice-connectors/{voiceConnectorId}/logging-configuration","responseCode":200},"input":{"type":"structure","required":["VoiceConnectorId"],"members":{"VoiceConnectorId":{"location":"uri","locationName":"voiceConnectorId"}}},"output":{"type":"structure","members":{"LoggingConfiguration":{"shape":"S4t"}}}},"GetVoiceConnectorOrigination":{"http":{"method":"GET","requestUri":"/voice-connectors/{voiceConnectorId}/origination","responseCode":200},"input":{"type":"structure","required":["VoiceConnectorId"],"members":{"VoiceConnectorId":{"location":"uri","locationName":"voiceConnectorId"}}},"output":{"type":"structure","members":{"Origination":{"shape":"S4w"}}}},"GetVoiceConnectorStreamingConfiguration":{"http":{"method":"GET","requestUri":"/voice-connectors/{voiceConnectorId}/streaming-configuration","responseCode":200},"input":{"type":"structure","required":["VoiceConnectorId"],"members":{"VoiceConnectorId":{"location":"uri","locationName":"voiceConnectorId"}}},"output":{"type":"structure","members":{"StreamingConfiguration":{"shape":"S55"}}}},"GetVoiceConnectorTermination":{"http":{"method":"GET","requestUri":"/voice-connectors/{voiceConnectorId}/termination","responseCode":200},"input":{"type":"structure","required":["VoiceConnectorId"],"members":{"VoiceConnectorId":{"location":"uri","locationName":"voiceConnectorId"}}},"output":{"type":"structure","members":{"Termination":{"shape":"S59"}}}},"GetVoiceConnectorTerminationHealth":{"http":{"method":"GET","requestUri":"/voice-connectors/{voiceConnectorId}/termination/health","responseCode":200},"input":{"type":"structure","required":["VoiceConnectorId"],"members":{"VoiceConnectorId":{"location":"uri","locationName":"voiceConnectorId"}}},"output":{"type":"structure","members":{"TerminationHealth":{"type":"structure","members":{"Timestamp":{"shape":"S1n"},"Source":{}}}}}},"InviteUsers":{"http":{"requestUri":"/accounts/{accountId}/users?operation=add","responseCode":201},"input":{"type":"structure","required":["AccountId","UserEmailList"],"members":{"AccountId":{"location":"uri","locationName":"accountId"},"UserEmailList":{"type":"list","member":{"shape":"S4g"}}}},"output":{"type":"structure","members":{"Invites":{"type":"list","member":{"type":"structure","members":{"InviteId":{},"Status":{},"EmailAddress":{"shape":"S4g"},"EmailStatus":{}}}}}}},"ListAccounts":{"http":{"method":"GET","req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/***/ }),
-/* 637 */
+/* 638 */
/***/ (function(module, exports) {
module.exports = {"pagination":{"ListAccounts":{"input_token":"NextToken","output_token":"NextToken","limit_key":"MaxResults"},"ListAttendees":{"input_token":"NextToken","output_token":"NextToken","limit_key":"MaxResults"},"ListBots":{"input_token":"NextToken","output_token":"NextToken","limit_key":"MaxResults"},"ListMeetings":{"input_token":"NextToken","output_token":"NextToken","limit_key":"MaxResults"},"ListPhoneNumberOrders":{"input_token":"NextToken","output_token":"NextToken","limit_key":"MaxResults"},"ListPhoneNumbers":{"input_token":"NextToken","output_token":"NextToken","limit_key":"MaxResults"},"ListRoomMemberships":{"input_token":"NextToken","output_token":"NextToken","limit_key":"MaxResults"},"ListRooms":{"input_token":"NextToken","output_token":"NextToken","limit_key":"MaxResults"},"ListUsers":{"input_token":"NextToken","output_token":"NextToken","limit_key":"MaxResults"},"ListVoiceConnectorGroups":{"input_token":"NextToken","output_token":"NextToken","limit_key":"MaxResults"},"ListVoiceConnectors":{"input_token":"NextToken","output_token":"NextToken","limit_key":"MaxResults"}}}
/***/ }),
-/* 638 */
+/* 639 */
/***/ (function(module, exports, __webpack_require__) {
__webpack_require__(2);
@@ -49292,8 +49303,8 @@ return /******/ (function(modules) { // webpackBootstrap
AWS.PinpointEmail = Service.defineService('pinpointemail', ['2018-07-26']);
Object.defineProperty(apiLoader.services['pinpointemail'], '2018-07-26', {
get: function get() {
- var model = __webpack_require__(639);
- model.paginators = __webpack_require__(640).pagination;
+ var model = __webpack_require__(640);
+ model.paginators = __webpack_require__(641).pagination;
return model;
},
enumerable: true,
@@ -49304,19 +49315,19 @@ return /******/ (function(modules) { // webpackBootstrap
/***/ }),
-/* 639 */
+/* 640 */
/***/ (function(module, exports) {
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-/* 640 */
+/* 641 */
/***/ (function(module, exports) {
module.exports = {"pagination":{"GetDedicatedIps":{"input_token":"NextToken","output_token":"NextToken","limit_key":"PageSize"},"ListConfigurationSets":{"input_token":"NextToken","output_token":"NextToken","limit_key":"PageSize"},"ListDedicatedIpPools":{"input_token":"NextToken","output_token":"NextToken","limit_key":"PageSize"},"ListDeliverabilityTestReports":{"input_token":"NextToken","output_token":"NextToken","limit_key":"PageSize"},"ListDomainDeliverabilityCampaigns":{"input_token":"NextToken","output_token":"NextToken","limit_key":"PageSize"},"ListEmailIdentities":{"input_token":"NextToken","output_token":"NextToken","limit_key":"PageSize"}}}
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+/* 642 */
/***/ (function(module, exports, __webpack_require__) {
__webpack_require__(2);
@@ -49328,8 +49339,8 @@ return /******/ (function(modules) { // webpackBootstrap
AWS.RAM = Service.defineService('ram', ['2018-01-04']);
Object.defineProperty(apiLoader.services['ram'], '2018-01-04', {
get: function get() {
- var model = __webpack_require__(642);
- model.paginators = __webpack_require__(643).pagination;
+ var model = __webpack_require__(643);
+ model.paginators = __webpack_require__(644).pagination;
return model;
},
enumerable: true,
@@ -49340,19 +49351,19 @@ return /******/ (function(modules) { // webpackBootstrap
/***/ }),
-/* 642 */
+/* 643 */
/***/ (function(module, exports) {
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/***/ (function(module, exports) {
module.exports = {"pagination":{"GetResourcePolicies":{"input_token":"nextToken","output_token":"nextToken","limit_key":"maxResults"},"GetResourceShareAssociations":{"input_token":"nextToken","output_token":"nextToken","limit_key":"maxResults"},"GetResourceShareInvitations":{"input_token":"nextToken","output_token":"nextToken","limit_key":"maxResults"},"GetResourceShares":{"input_token":"nextToken","output_token":"nextToken","limit_key":"maxResults"},"ListPendingInvitationResources":{"input_token":"nextToken","output_token":"nextToken","limit_key":"maxResults"},"ListPrincipals":{"input_token":"nextToken","output_token":"nextToken","limit_key":"maxResults"},"ListResources":{"input_token":"nextToken","output_token":"nextToken","limit_key":"maxResults"}}}
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/***/ (function(module, exports, __webpack_require__) {
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@@ -49364,8 +49375,8 @@ return /******/ (function(modules) { // webpackBootstrap
AWS.Route53Resolver = Service.defineService('route53resolver', ['2018-04-01']);
Object.defineProperty(apiLoader.services['route53resolver'], '2018-04-01', {
get: function get() {
- var model = __webpack_require__(645);
- model.paginators = __webpack_require__(646).pagination;
+ var model = __webpack_require__(646);
+ model.paginators = __webpack_require__(647).pagination;
return model;
},
enumerable: true,
@@ -49376,19 +49387,19 @@ return /******/ (function(modules) { // webpackBootstrap
/***/ }),
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+/* 646 */
/***/ (function(module, exports) {
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/***/ }),
-/* 646 */
+/* 647 */
/***/ (function(module, exports) {
module.exports = {"pagination":{"ListResolverEndpointIpAddresses":{"input_token":"NextToken","output_token":"NextToken","limit_key":"MaxResults"},"ListResolverEndpoints":{"input_token":"NextToken","output_token":"NextToken","limit_key":"MaxResults"},"ListResolverRuleAssociations":{"input_token":"NextToken","output_token":"NextToken","limit_key":"MaxResults"},"ListResolverRules":{"input_token":"NextToken","output_token":"NextToken","limit_key":"MaxResults"}}}
/***/ }),
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+/* 648 */
/***/ (function(module, exports, __webpack_require__) {
__webpack_require__(2);
@@ -49400,7 +49411,7 @@ return /******/ (function(modules) { // webpackBootstrap
AWS.PinpointSMSVoice = Service.defineService('pinpointsmsvoice', ['2018-09-05']);
Object.defineProperty(apiLoader.services['pinpointsmsvoice'], '2018-09-05', {
get: function get() {
- var model = __webpack_require__(648);
+ var model = __webpack_require__(649);
return model;
},
enumerable: true,
@@ -49411,13 +49422,13 @@ return /******/ (function(modules) { // webpackBootstrap
/***/ }),
-/* 648 */
+/* 649 */
/***/ (function(module, exports) {
module.exports = {"metadata":{"apiVersion":"2018-09-05","endpointPrefix":"sms-voice.pinpoint","signingName":"sms-voice","serviceAbbreviation":"Pinpoint SMS Voice","serviceFullName":"Amazon Pinpoint SMS and Voice Service","serviceId":"Pinpoint SMS Voice","protocol":"rest-json","jsonVersion":"1.1","uid":"pinpoint-sms-voice-2018-09-05","signatureVersion":"v4"},"operations":{"CreateConfigurationSet":{"http":{"requestUri":"/v1/sms-voice/configuration-sets","responseCode":200},"input":{"type":"structure","members":{"ConfigurationSetName":{}}},"output":{"type":"structure","members":{}}},"CreateConfigurationSetEventDestination":{"http":{"requestUri":"/v1/sms-voice/configuration-sets/{ConfigurationSetName}/event-destinations","responseCode":200},"input":{"type":"structure","members":{"ConfigurationSetName":{"location":"uri","locationName":"ConfigurationSetName"},"EventDestination":{"shape":"S6"},"EventDestinationName":{}},"required":["ConfigurationSetName"]},"output":{"type":"structure","members":{}}},"DeleteConfigurationSet":{"http":{"method":"DELETE","requestUri":"/v1/sms-voice/configuration-sets/{ConfigurationSetName}","responseCode":200},"input":{"type":"structure","members":{"ConfigurationSetName":{"location":"uri","locationName":"ConfigurationSetName"}},"required":["ConfigurationSetName"]},"output":{"type":"structure","members":{}}},"DeleteConfigurationSetEventDestination":{"http":{"method":"DELETE","requestUri":"/v1/sms-voice/configuration-sets/{ConfigurationSetName}/event-destinations/{EventDestinationName}","responseCode":200},"input":{"type":"structure","members":{"ConfigurationSetName":{"location":"uri","locationName":"ConfigurationSetName"},"EventDestinationName":{"location":"uri","locationName":"EventDestinationName"}},"required":["EventDestinationName","ConfigurationSetName"]},"output":{"type":"structure","members":{}}},"GetConfigurationSetEventDestinations":{"http":{"method":"GET","requestUri":"/v1/sms-voice/configuration-sets/{ConfigurationSetName}/event-destinations","responseCode":200},"input":{"type":"structure","members":{"ConfigurationSetName":{"location":"uri","locationName":"ConfigurationSetName"}},"required":["ConfigurationSetName"]},"output":{"type":"structure","members":{"EventDestinations":{"type":"list","member":{"type":"structure","members":{"CloudWatchLogsDestination":{"shape":"S7"},"Enabled":{"type":"boolean"},"KinesisFirehoseDestination":{"shape":"Sa"},"MatchingEventTypes":{"shape":"Sb"},"Name":{},"SnsDestination":{"shape":"Sd"}}}}}}},"ListConfigurationSets":{"http":{"method":"GET","requestUri":"/v1/sms-voice/configuration-sets","responseCode":200},"input":{"type":"structure","members":{"NextToken":{"location":"querystring","locationName":"NextToken"},"PageSize":{"location":"querystring","locationName":"PageSize"}}},"output":{"type":"structure","members":{"ConfigurationSets":{"type":"list","member":{}},"NextToken":{}}}},"SendVoiceMessage":{"http":{"requestUri":"/v1/sms-voice/voice/message","responseCode":200},"input":{"type":"structure","members":{"CallerId":{},"ConfigurationSetName":{},"Content":{"type":"structure","members":{"CallInstructionsMessage":{"type":"structure","members":{"Text":{}},"required":[]},"PlainTextMessage":{"type":"structure","members":{"LanguageCode":{},"Text":{},"VoiceId":{}},"required":[]},"SSMLMessage":{"type":"structure","members":{"LanguageCode":{},"Text":{},"VoiceId":{}},"required":[]}}},"DestinationPhoneNumber":{},"OriginationPhoneNumber":{}}},"output":{"type":"structure","members":{"MessageId":{}}}},"UpdateConfigurationSetEventDestination":{"http":{"method":"PUT","requestUri":"/v1/sms-voice/configuration-sets/{ConfigurationSetName}/event-destinations/{EventDestinationName}","responseCode":200},"input":{"type":"structure","members":{"ConfigurationSetName":{"location":"uri","locationName":"ConfigurationSetName"},"EventDestination":{"shape":"S6"},"EventDestinationName":{"location":"uri","locationName":"EventDestinationName"}},"required":["EventDestinationName","ConfigurationSetName"]},"output":{"type":"structure","members":{}}}},"shapes":{"S6":{"type":"structure","members":{"CloudWatchLogsDestination":{"shape":"S7"},"Enabled":{"type":"boolean"},"KinesisFirehoseDestination":{"shape":"Sa"},"MatchingEventTypes":{"shape":"Sb"},"SnsDestination":{"shape":"Sd"}},"required":[]},"S7":{"type":"structure","members":{"IamRoleArn":{},"LogGroupArn":{}},"required":[]},"Sa":{"type":"structure","members":{"DeliveryStreamArn":{},"IamRoleArn":{}},"required":[]},"Sb":{"type":"list","member":{}},"Sd":{"type":"structure","members":{"TopicArn":{}},"required":[]}}}
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/***/ (function(module, exports, __webpack_require__) {
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@@ -49429,8 +49440,8 @@ return /******/ (function(modules) { // webpackBootstrap
AWS.QuickSight = Service.defineService('quicksight', ['2018-04-01']);
Object.defineProperty(apiLoader.services['quicksight'], '2018-04-01', {
get: function get() {
- var model = __webpack_require__(650);
- model.paginators = __webpack_require__(651).pagination;
+ var model = __webpack_require__(651);
+ model.paginators = __webpack_require__(652).pagination;
return model;
},
enumerable: true,
@@ -49441,19 +49452,19 @@ return /******/ (function(modules) { // webpackBootstrap
/***/ }),
-/* 650 */
+/* 651 */
/***/ (function(module, exports) {
module.exports = {"version":"2.0","metadata":{"apiVersion":"2018-04-01","endpointPrefix":"quicksight","jsonVersion":"1.0","protocol":"rest-json","serviceFullName":"Amazon 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AWS.RDSDataService = Service.defineService('rdsdataservice', ['2018-08-01']);
Object.defineProperty(apiLoader.services['rdsdataservice'], '2018-08-01', {
get: function get() {
- var model = __webpack_require__(653);
- model.paginators = __webpack_require__(654).pagination;
+ var model = __webpack_require__(654);
+ model.paginators = __webpack_require__(655).pagination;
return model;
},
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Object.defineProperty(apiLoader.services['amplify'], '2017-07-25', {
get: function get() {
- var model = __webpack_require__(656);
- model.paginators = __webpack_require__(657).pagination;
+ var model = __webpack_require__(657);
+ model.paginators = __webpack_require__(658).pagination;
return model;
},
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Object.defineProperty(apiLoader.services['datasync'], '2018-11-09', {
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- model.paginators = __webpack_require__(660).pagination;
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AWS.GlobalAccelerator = Service.defineService('globalaccelerator', ['2018-08-08']);
Object.defineProperty(apiLoader.services['globalaccelerator'], '2018-08-08', {
get: function get() {
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- model.paginators = __webpack_require__(669).pagination;
+ var model = __webpack_require__(669);
+ model.paginators = __webpack_require__(670).pagination;
return model;
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AWS.ComprehendMedical = Service.defineService('comprehendmedical', ['2018-10-30']);
Object.defineProperty(apiLoader.services['comprehendmedical'], '2018-10-30', {
get: function get() {
- var model = __webpack_require__(671);
- model.paginators = __webpack_require__(672).pagination;
+ var model = __webpack_require__(672);
+ model.paginators = __webpack_require__(673).pagination;
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/***/ (function(module, exports) {
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AWS.KinesisAnalyticsV2 = Service.defineService('kinesisanalyticsv2', ['2018-05-23']);
Object.defineProperty(apiLoader.services['kinesisanalyticsv2'], '2018-05-23', {
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Object.defineProperty(apiLoader.services['mediaconnect'], '2018-11-14', {
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-/* 678 */
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/***/ (function(module, exports) {
module.exports = {"pagination":{"ListEntitlements":{"input_token":"NextToken","output_token":"NextToken","limit_key":"MaxResults","result_key":"Entitlements"},"ListFlows":{"input_token":"NextToken","output_token":"NextToken","limit_key":"MaxResults","result_key":"Flows"}}}
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/***/ (function(module, exports, __webpack_require__) {
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@@ -49789,8 +49800,8 @@ return /******/ (function(modules) { // webpackBootstrap
AWS.FSx = Service.defineService('fsx', ['2018-03-01']);
Object.defineProperty(apiLoader.services['fsx'], '2018-03-01', {
get: function get() {
- var model = __webpack_require__(680);
- model.paginators = __webpack_require__(681).pagination;
+ var model = __webpack_require__(681);
+ model.paginators = __webpack_require__(682).pagination;
return model;
},
enumerable: true,
@@ -49801,19 +49812,19 @@ return /******/ (function(modules) { // webpackBootstrap
/***/ }),
-/* 680 */
+/* 681 */
/***/ (function(module, exports) {
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/***/ }),
-/* 681 */
+/* 682 */
/***/ (function(module, exports) {
module.exports = {"pagination":{"DescribeBackups":{"input_token":"NextToken","output_token":"NextToken","limit_key":"MaxResults"},"DescribeFileSystems":{"input_token":"NextToken","output_token":"NextToken","limit_key":"MaxResults"}}}
/***/ }),
-/* 682 */
+/* 683 */
/***/ (function(module, exports, __webpack_require__) {
__webpack_require__(2);
@@ -49825,8 +49836,8 @@ return /******/ (function(modules) { // webpackBootstrap
AWS.SecurityHub = Service.defineService('securityhub', ['2018-10-26']);
Object.defineProperty(apiLoader.services['securityhub'], '2018-10-26', {
get: function get() {
- var model = __webpack_require__(683);
- model.paginators = __webpack_require__(684).pagination;
+ var model = __webpack_require__(684);
+ model.paginators = __webpack_require__(685).pagination;
return model;
},
enumerable: true,
@@ -49837,19 +49848,19 @@ return /******/ (function(modules) { // webpackBootstrap
/***/ }),
-/* 683 */
+/* 684 */
/***/ (function(module, exports) {
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Object.defineProperty(apiLoader.services['appmesh'], '2018-10-01', {
get: function get() {
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- model.paginators = __webpack_require__(687).pagination;
+ var model = __webpack_require__(687);
+ model.paginators = __webpack_require__(688).pagination;
return model;
},
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@@ -49870,8 +49881,8 @@ return /******/ (function(modules) { // webpackBootstrap
});
Object.defineProperty(apiLoader.services['appmesh'], '2019-01-25', {
get: function get() {
- var model = __webpack_require__(688);
- model.paginators = __webpack_require__(689).pagination;
+ var model = __webpack_require__(689);
+ model.paginators = __webpack_require__(690).pagination;
return model;
},
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@@ -49882,31 +49893,31 @@ return /******/ (function(modules) { // webpackBootstrap
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Object.defineProperty(apiLoader.services['licensemanager'], '2018-08-01', {
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Object.defineProperty(apiLoader.services['kafka'], '2018-11-14', {
get: function get() {
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"locationName":"volumeSizeGB","type":"integer"}},"required":["VolumeSizeGB","KafkaBrokerNodeId"]}}}}
/***/ }),
-/* 695 */
+/* 696 */
/***/ (function(module, exports) {
module.exports = {"pagination":{"ListClusters":{"input_token":"NextToken","output_token":"NextToken","limit_key":"MaxResults","result_key":"ClusterInfoList"},"ListConfigurations":{"input_token":"NextToken","output_token":"NextToken","limit_key":"MaxResults","result_key":"Configurations"},"ListNodes":{"input_token":"NextToken","output_token":"NextToken","limit_key":"MaxResults","result_key":"NodeInfoList"},"ListClusterOperations":{"input_token":"NextToken","output_token":"NextToken","limit_key":"MaxResults","result_key":"ClusterOperationInfoList"},"ListConfigurationRevisions":{"input_token":"NextToken","output_token":"NextToken","limit_key":"MaxResults","result_key":"Revisions"}}}
/***/ }),
-/* 696 */
+/* 697 */
/***/ (function(module, exports, __webpack_require__) {
__webpack_require__(2);
@@ -49990,8 +50001,8 @@ return /******/ (function(modules) { // webpackBootstrap
AWS.ApiGatewayManagementApi = Service.defineService('apigatewaymanagementapi', ['2018-11-29']);
Object.defineProperty(apiLoader.services['apigatewaymanagementapi'], '2018-11-29', {
get: function get() {
- var model = __webpack_require__(697);
- model.paginators = __webpack_require__(698).pagination;
+ var model = __webpack_require__(698);
+ model.paginators = __webpack_require__(699).pagination;
return model;
},
enumerable: true,
@@ -50002,19 +50013,19 @@ return /******/ (function(modules) { // webpackBootstrap
/***/ }),
-/* 697 */
+/* 698 */
/***/ (function(module, exports) {
module.exports = {"metadata":{"apiVersion":"2018-11-29","endpointPrefix":"execute-api","signingName":"execute-api","serviceFullName":"AmazonApiGatewayManagementApi","serviceId":"ApiGatewayManagementApi","protocol":"rest-json","jsonVersion":"1.1","uid":"apigatewaymanagementapi-2018-11-29","signatureVersion":"v4"},"operations":{"DeleteConnection":{"http":{"method":"DELETE","requestUri":"/@connections/{connectionId}","responseCode":204},"input":{"type":"structure","members":{"ConnectionId":{"location":"uri","locationName":"connectionId"}},"required":["ConnectionId"]}},"GetConnection":{"http":{"method":"GET","requestUri":"/@connections/{connectionId}","responseCode":200},"input":{"type":"structure","members":{"ConnectionId":{"location":"uri","locationName":"connectionId"}},"required":["ConnectionId"]},"output":{"type":"structure","members":{"ConnectedAt":{"shape":"S5","locationName":"connectedAt"},"Identity":{"locationName":"identity","type":"structure","members":{"SourceIp":{"locationName":"sourceIp"},"UserAgent":{"locationName":"userAgent"}},"required":["SourceIp","UserAgent"]},"LastActiveAt":{"shape":"S5","locationName":"lastActiveAt"}}}},"PostToConnection":{"http":{"requestUri":"/@connections/{connectionId}","responseCode":200},"input":{"type":"structure","members":{"Data":{"type":"blob"},"ConnectionId":{"location":"uri","locationName":"connectionId"}},"required":["ConnectionId","Data"],"payload":"Data"}}},"shapes":{"S5":{"type":"timestamp","timestampFormat":"iso8601"}}}
/***/ }),
-/* 698 */
+/* 699 */
/***/ (function(module, exports) {
module.exports = {"pagination":{}}
/***/ }),
-/* 699 */
+/* 700 */
/***/ (function(module, exports, __webpack_require__) {
__webpack_require__(2);
@@ -50026,8 +50037,8 @@ return /******/ (function(modules) { // webpackBootstrap
AWS.ApiGatewayV2 = Service.defineService('apigatewayv2', ['2018-11-29']);
Object.defineProperty(apiLoader.services['apigatewayv2'], '2018-11-29', {
get: function get() {
- var model = __webpack_require__(700);
- model.paginators = __webpack_require__(701).pagination;
+ var model = __webpack_require__(701);
+ model.paginators = __webpack_require__(702).pagination;
return model;
},
enumerable: true,
@@ -50038,19 +50049,19 @@ return /******/ (function(modules) { // webpackBootstrap
/***/ }),
-/* 700 */
+/* 701 */
/***/ (function(module, exports) {
module.exports = 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-/* 701 */
+/* 702 */
/***/ (function(module, exports) {
module.exports = {"pagination":{}}
/***/ }),
-/* 702 */
+/* 703 */
/***/ (function(module, exports, __webpack_require__) {
__webpack_require__(2);
@@ -50062,9 +50073,9 @@ return /******/ (function(modules) { // webpackBootstrap
AWS.DocDB = Service.defineService('docdb', ['2014-10-31']);
Object.defineProperty(apiLoader.services['docdb'], '2014-10-31', {
get: function get() {
- var model = __webpack_require__(703);
- model.paginators = __webpack_require__(704).pagination;
- model.waiters = __webpack_require__(705).waiters;
+ var model = __webpack_require__(704);
+ model.paginators = __webpack_require__(705).pagination;
+ model.waiters = __webpack_require__(706).waiters;
return model;
},
enumerable: true,
@@ -50075,25 +50086,25 @@ return /******/ (function(modules) { // webpackBootstrap
/***/ }),
-/* 703 */
+/* 704 */
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-/* 706 */
+/* 707 */
/***/ (function(module, exports, __webpack_require__) {
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@@ -50105,8 +50116,8 @@ return /******/ (function(modules) { // webpackBootstrap
AWS.Backup = Service.defineService('backup', ['2018-11-15']);
Object.defineProperty(apiLoader.services['backup'], '2018-11-15', {
get: function get() {
- var model = __webpack_require__(707);
- model.paginators = __webpack_require__(708).pagination;
+ var model = __webpack_require__(708);
+ model.paginators = __webpack_require__(709).pagination;
return model;
},
enumerable: true,
@@ -50117,19 +50128,19 @@ return /******/ (function(modules) { // webpackBootstrap
/***/ }),
-/* 707 */
+/* 708 */
/***/ (function(module, exports) {
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/***/ }),
-/* 708 */
+/* 709 */
/***/ (function(module, exports) {
module.exports = {"pagination":{"ListBackupJobs":{"input_token":"NextToken","output_token":"NextToken","limit_key":"MaxResults"},"ListBackupPlanTemplates":{"input_token":"NextToken","output_token":"NextToken","limit_key":"MaxResults"},"ListBackupPlanVersions":{"input_token":"NextToken","output_token":"NextToken","limit_key":"MaxResults"},"ListBackupPlans":{"input_token":"NextToken","output_token":"NextToken","limit_key":"MaxResults"},"ListBackupSelections":{"input_token":"NextToken","output_token":"NextToken","limit_key":"MaxResults"},"ListBackupVaults":{"input_token":"NextToken","output_token":"NextToken","limit_key":"MaxResults"},"ListProtectedResources":{"input_token":"NextToken","output_token":"NextToken","limit_key":"MaxResults"},"ListRecoveryPointsByBackupVault":{"input_token":"NextToken","output_token":"NextToken","limit_key":"MaxResults"},"ListRecoveryPointsByResource":{"input_token":"NextToken","output_token":"NextToken","limit_key":"MaxResults"},"ListRestoreJobs":{"input_token":"NextToken","output_token":"NextToken","limit_key":"MaxResults"},"ListTags":{"input_token":"NextToken","output_token":"NextToken","limit_key":"MaxResults"}}}
/***/ }),
-/* 709 */
+/* 710 */
/***/ (function(module, exports, __webpack_require__) {
__webpack_require__(2);
@@ -50141,8 +50152,8 @@ return /******/ (function(modules) { // webpackBootstrap
AWS.WorkLink = Service.defineService('worklink', ['2018-09-25']);
Object.defineProperty(apiLoader.services['worklink'], '2018-09-25', {
get: function get() {
- var model = __webpack_require__(710);
- model.paginators = __webpack_require__(711).pagination;
+ var model = __webpack_require__(711);
+ model.paginators = __webpack_require__(712).pagination;
return model;
},
enumerable: true,
@@ -50153,19 +50164,19 @@ return /******/ (function(modules) { // webpackBootstrap
/***/ }),
-/* 710 */
+/* 711 */
/***/ (function(module, exports) {
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@@ -50177,8 +50188,8 @@ return /******/ (function(modules) { // webpackBootstrap
AWS.Textract = Service.defineService('textract', ['2018-06-27']);
Object.defineProperty(apiLoader.services['textract'], '2018-06-27', {
get: function get() {
- var model = __webpack_require__(713);
- model.paginators = __webpack_require__(714).pagination;
+ var model = __webpack_require__(714);
+ model.paginators = __webpack_require__(715).pagination;
return model;
},
enumerable: true,
@@ -50189,19 +50200,19 @@ return /******/ (function(modules) { // webpackBootstrap
/***/ }),
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+/* 714 */
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/***/ (function(module, exports) {
module.exports = {"pagination":{}}
/***/ }),
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/***/ (function(module, exports, __webpack_require__) {
__webpack_require__(2);
@@ -50213,8 +50224,8 @@ return /******/ (function(modules) { // webpackBootstrap
AWS.ManagedBlockchain = Service.defineService('managedblockchain', ['2018-09-24']);
Object.defineProperty(apiLoader.services['managedblockchain'], '2018-09-24', {
get: function get() {
- var model = __webpack_require__(716);
- model.paginators = __webpack_require__(717).pagination;
+ var model = __webpack_require__(717);
+ model.paginators = __webpack_require__(718).pagination;
return model;
},
enumerable: true,
@@ -50225,19 +50236,19 @@ return /******/ (function(modules) { // webpackBootstrap
/***/ }),
-/* 716 */
+/* 717 */
/***/ (function(module, exports) {
module.exports = {"version":"2.0","metadata":{"apiVersion":"2018-09-24","endpointPrefix":"managedblockchain","jsonVersion":"1.1","protocol":"rest-json","serviceAbbreviation":"ManagedBlockchain","serviceFullName":"Amazon Managed 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/***/ }),
-/* 717 */
+/* 718 */
/***/ (function(module, exports) {
module.exports = {"pagination":{"ListInvitations":{"input_token":"NextToken","output_token":"NextToken","limit_key":"MaxResults"},"ListMembers":{"input_token":"NextToken","output_token":"NextToken","limit_key":"MaxResults"},"ListNetworks":{"input_token":"NextToken","output_token":"NextToken","limit_key":"MaxResults"},"ListNodes":{"input_token":"NextToken","output_token":"NextToken","limit_key":"MaxResults"},"ListProposalVotes":{"input_token":"NextToken","output_token":"NextToken","limit_key":"MaxResults"},"ListProposals":{"input_token":"NextToken","output_token":"NextToken","limit_key":"MaxResults"}}}
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/***/ (function(module, exports, __webpack_require__) {
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@@ -50249,8 +50260,8 @@ return /******/ (function(modules) { // webpackBootstrap
AWS.MediaPackageVod = Service.defineService('mediapackagevod', ['2018-11-07']);
Object.defineProperty(apiLoader.services['mediapackagevod'], '2018-11-07', {
get: function get() {
- var model = __webpack_require__(719);
- model.paginators = __webpack_require__(720).pagination;
+ var model = __webpack_require__(720);
+ model.paginators = __webpack_require__(721).pagination;
return model;
},
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@@ -50261,19 +50272,19 @@ return /******/ (function(modules) { // webpackBootstrap
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+/* 720 */
/***/ (function(module, exports) {
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/***/ }),
-/* 720 */
+/* 721 */
/***/ (function(module, exports) {
module.exports = {"pagination":{"ListAssets":{"input_token":"NextToken","limit_key":"MaxResults","output_token":"NextToken","result_key":"Assets"},"ListPackagingConfigurations":{"input_token":"NextToken","limit_key":"MaxResults","output_token":"NextToken","result_key":"PackagingConfigurations"},"ListPackagingGroups":{"input_token":"NextToken","limit_key":"MaxResults","output_token":"NextToken","result_key":"PackagingGroups"}}}
/***/ }),
-/* 721 */
+/* 722 */
/***/ (function(module, exports, __webpack_require__) {
__webpack_require__(2);
@@ -50285,8 +50296,8 @@ return /******/ (function(modules) { // webpackBootstrap
AWS.GroundStation = Service.defineService('groundstation', ['2019-05-23']);
Object.defineProperty(apiLoader.services['groundstation'], '2019-05-23', {
get: function get() {
- var model = __webpack_require__(722);
- model.paginators = __webpack_require__(723).pagination;
+ var model = __webpack_require__(723);
+ model.paginators = __webpack_require__(724).pagination;
return model;
},
enumerable: true,
@@ -50297,19 +50308,19 @@ return /******/ (function(modules) { // webpackBootstrap
/***/ }),
-/* 722 */
+/* 723 */
/***/ (function(module, exports) {
module.exports = {"version":"2.0","metadata":{"apiVersion":"2019-05-23","endpointPrefix":"groundstation","jsonVersion":"1.1","protocol":"rest-json","serviceFullName":"AWS Ground 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/***/ }),
-/* 723 */
+/* 724 */
/***/ (function(module, exports) {
module.exports = {"pagination":{"ListConfigs":{"input_token":"nextToken","limit_key":"maxResults","output_token":"nextToken","result_key":"configList"},"ListContacts":{"input_token":"nextToken","limit_key":"maxResults","output_token":"nextToken","result_key":"contactList"},"ListDataflowEndpointGroups":{"input_token":"nextToken","limit_key":"maxResults","output_token":"nextToken","result_key":"dataflowEndpointGroupList"},"ListMissionProfiles":{"input_token":"nextToken","limit_key":"maxResults","output_token":"nextToken","result_key":"missionProfileList"},"ListGroundStations":{"input_token":"nextToken","limit_key":"maxResults","output_token":"nextToken","result_key":"groundStationList"},"ListSatellites":{"input_token":"nextToken","limit_key":"maxResults","output_token":"nextToken","result_key":"satellites"}}}
/***/ }),
-/* 724 */
+/* 725 */
/***/ (function(module, exports, __webpack_require__) {
__webpack_require__(2);
@@ -50321,8 +50332,8 @@ return /******/ (function(modules) { // webpackBootstrap
AWS.IoTThingsGraph = Service.defineService('iotthingsgraph', ['2018-09-06']);
Object.defineProperty(apiLoader.services['iotthingsgraph'], '2018-09-06', {
get: function get() {
- var model = __webpack_require__(725);
- model.paginators = __webpack_require__(726).pagination;
+ var model = __webpack_require__(726);
+ model.paginators = __webpack_require__(727).pagination;
return model;
},
enumerable: true,
@@ -50333,19 +50344,19 @@ return /******/ (function(modules) { // webpackBootstrap
/***/ }),
-/* 725 */
+/* 726 */
/***/ (function(module, exports) {
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@@ -50357,8 +50368,8 @@ return /******/ (function(modules) { // webpackBootstrap
AWS.IoTEvents = Service.defineService('iotevents', ['2018-07-27']);
Object.defineProperty(apiLoader.services['iotevents'], '2018-07-27', {
get: function get() {
- var model = __webpack_require__(728);
- model.paginators = __webpack_require__(729).pagination;
+ var model = __webpack_require__(729);
+ model.paginators = __webpack_require__(730).pagination;
return model;
},
enumerable: true,
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/***/ }),
-/* 728 */
+/* 729 */
/***/ (function(module, exports) {
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/***/ }),
-/* 729 */
+/* 730 */
/***/ (function(module, exports) {
module.exports = {"pagination":{}}
/***/ }),
-/* 730 */
+/* 731 */
/***/ (function(module, exports, __webpack_require__) {
__webpack_require__(2);
@@ -50393,8 +50404,8 @@ return /******/ (function(modules) { // webpackBootstrap
AWS.IoTEventsData = Service.defineService('ioteventsdata', ['2018-10-23']);
Object.defineProperty(apiLoader.services['ioteventsdata'], '2018-10-23', {
get: function get() {
- var model = __webpack_require__(731);
- model.paginators = __webpack_require__(732).pagination;
+ var model = __webpack_require__(732);
+ model.paginators = __webpack_require__(733).pagination;
return model;
},
enumerable: true,
@@ -50405,19 +50416,19 @@ return /******/ (function(modules) { // webpackBootstrap
/***/ }),
-/* 731 */
+/* 732 */
/***/ (function(module, exports) {
module.exports = {"version":"2.0","metadata":{"apiVersion":"2018-10-23","endpointPrefix":"data.iotevents","protocol":"rest-json","serviceFullName":"AWS IoT Events Data","serviceId":"IoT Events Data","signatureVersion":"v4","signingName":"ioteventsdata","uid":"iotevents-data-2018-10-23"},"operations":{"BatchPutMessage":{"http":{"requestUri":"/inputs/messages","responseCode":200},"input":{"type":"structure","required":["messages"],"members":{"messages":{"type":"list","member":{"type":"structure","required":["messageId","inputName","payload"],"members":{"messageId":{},"inputName":{},"payload":{"type":"blob"}}}}}},"output":{"type":"structure","members":{"BatchPutMessageErrorEntries":{"type":"list","member":{"type":"structure","members":{"messageId":{},"errorCode":{},"errorMessage":{}}}}}}},"BatchUpdateDetector":{"http":{"requestUri":"/detectors","responseCode":200},"input":{"type":"structure","required":["detectors"],"members":{"detectors":{"type":"list","member":{"type":"structure","required":["messageId","detectorModelName","state"],"members":{"messageId":{},"detectorModelName":{},"keyValue":{},"state":{"type":"structure","required":["stateName","variables","timers"],"members":{"stateName":{},"variables":{"type":"list","member":{"type":"structure","required":["name","value"],"members":{"name":{},"value":{}}}},"timers":{"type":"list","member":{"type":"structure","required":["name","seconds"],"members":{"name":{},"seconds":{"type":"integer"}}}}}}}}}}},"output":{"type":"structure","members":{"batchUpdateDetectorErrorEntries":{"type":"list","member":{"type":"structure","members":{"messageId":{},"errorCode":{},"errorMessage":{}}}}}}},"DescribeDetector":{"http":{"method":"GET","requestUri":"/detectors/{detectorModelName}/keyValues/"},"input":{"type":"structure","required":["detectorModelName"],"members":{"detectorModelName":{"location":"uri","locationName":"detectorModelName"},"keyValue":{"location":"querystring","locationName":"keyValue"}}},"output":{"type":"structure","members":{"detector":{"type":"structure","members":{"detectorModelName":{},"keyValue":{},"detectorModelVersion":{},"state":{"type":"structure","required":["stateName","variables","timers"],"members":{"stateName":{},"variables":{"type":"list","member":{"type":"structure","required":["name","value"],"members":{"name":{},"value":{}}}},"timers":{"type":"list","member":{"type":"structure","required":["name","timestamp"],"members":{"name":{},"timestamp":{"type":"timestamp"}}}}}},"creationTime":{"type":"timestamp"},"lastUpdateTime":{"type":"timestamp"}}}}}},"ListDetectors":{"http":{"method":"GET","requestUri":"/detectors/{detectorModelName}"},"input":{"type":"structure","required":["detectorModelName"],"members":{"detectorModelName":{"location":"uri","locationName":"detectorModelName"},"stateName":{"location":"querystring","locationName":"stateName"},"nextToken":{"location":"querystring","locationName":"nextToken"},"maxResults":{"location":"querystring","locationName":"maxResults","type":"integer"}}},"output":{"type":"structure","members":{"detectorSummaries":{"type":"list","member":{"type":"structure","members":{"detectorModelName":{},"keyValue":{},"detectorModelVersion":{},"state":{"type":"structure","members":{"stateName":{}}},"creationTime":{"type":"timestamp"},"lastUpdateTime":{"type":"timestamp"}}}},"nextToken":{}}}}},"shapes":{}}
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-/* 732 */
+/* 733 */
/***/ (function(module, exports) {
module.exports = {"pagination":{}}
/***/ }),
-/* 733 */
+/* 734 */
/***/ (function(module, exports, __webpack_require__) {
__webpack_require__(2);
@@ -50429,8 +50440,8 @@ return /******/ (function(modules) { // webpackBootstrap
AWS.Personalize = Service.defineService('personalize', ['2018-05-22']);
Object.defineProperty(apiLoader.services['personalize'], '2018-05-22', {
get: function get() {
- var model = __webpack_require__(734);
- model.paginators = __webpack_require__(735).pagination;
+ var model = __webpack_require__(735);
+ model.paginators = __webpack_require__(736).pagination;
return model;
},
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@@ -50441,19 +50452,19 @@ return /******/ (function(modules) { // webpackBootstrap
/***/ }),
-/* 734 */
+/* 735 */
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AWS.PersonalizeEvents = Service.defineService('personalizeevents', ['2018-03-22']);
Object.defineProperty(apiLoader.services['personalizeevents'], '2018-03-22', {
get: function get() {
- var model = __webpack_require__(737);
- model.paginators = __webpack_require__(738).pagination;
+ var model = __webpack_require__(738);
+ model.paginators = __webpack_require__(739).pagination;
return model;
},
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/***/ (function(module, exports) {
module.exports = {"version":"2.0","metadata":{"apiVersion":"2018-03-22","endpointPrefix":"personalize-events","jsonVersion":"1.1","protocol":"rest-json","serviceFullName":"Amazon Personalize Events","serviceId":"Personalize Events","signatureVersion":"v4","signingName":"personalize","uid":"personalize-events-2018-03-22"},"operations":{"PutEvents":{"http":{"requestUri":"/events"},"input":{"type":"structure","required":["trackingId","sessionId","eventList"],"members":{"trackingId":{},"userId":{},"sessionId":{},"eventList":{"type":"list","member":{"type":"structure","required":["eventType","properties","sentAt"],"members":{"eventId":{},"eventType":{},"properties":{"jsonvalue":true},"sentAt":{"type":"timestamp"}}}}}}}},"shapes":{}}
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/***/ (function(module, exports, __webpack_require__) {
__webpack_require__(2);
@@ -50501,8 +50512,8 @@ return /******/ (function(modules) { // webpackBootstrap
AWS.PersonalizeRuntime = Service.defineService('personalizeruntime', ['2018-05-22']);
Object.defineProperty(apiLoader.services['personalizeruntime'], '2018-05-22', {
get: function get() {
- var model = __webpack_require__(740);
- model.paginators = __webpack_require__(741).pagination;
+ var model = __webpack_require__(741);
+ model.paginators = __webpack_require__(742).pagination;
return model;
},
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/***/ }),
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+/* 741 */
/***/ (function(module, exports) {
module.exports = {"version":"2.0","metadata":{"apiVersion":"2018-05-22","endpointPrefix":"personalize-runtime","jsonVersion":"1.1","protocol":"rest-json","serviceFullName":"Amazon Personalize Runtime","serviceId":"Personalize Runtime","signatureVersion":"v4","signingName":"personalize","uid":"personalize-runtime-2018-05-22"},"operations":{"GetPersonalizedRanking":{"http":{"requestUri":"/personalize-ranking"},"input":{"type":"structure","required":["campaignArn","inputList","userId"],"members":{"campaignArn":{},"inputList":{"type":"list","member":{}},"userId":{}}},"output":{"type":"structure","members":{"personalizedRanking":{"shape":"S7"}}},"idempotent":true},"GetRecommendations":{"http":{"requestUri":"/recommendations"},"input":{"type":"structure","required":["campaignArn"],"members":{"campaignArn":{},"itemId":{},"userId":{},"numResults":{"type":"integer"}}},"output":{"type":"structure","members":{"itemList":{"shape":"S7"}}},"idempotent":true}},"shapes":{"S7":{"type":"list","member":{"type":"structure","members":{"itemId":{}}}}}}
/***/ }),
-/* 741 */
+/* 742 */
/***/ (function(module, exports) {
module.exports = {"pagination":{}}
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+/* 743 */
/***/ (function(module, exports, __webpack_require__) {
__webpack_require__(2);
@@ -50537,8 +50548,8 @@ return /******/ (function(modules) { // webpackBootstrap
AWS.ApplicationInsights = Service.defineService('applicationinsights', ['2018-11-25']);
Object.defineProperty(apiLoader.services['applicationinsights'], '2018-11-25', {
get: function get() {
- var model = __webpack_require__(743);
- model.paginators = __webpack_require__(744).pagination;
+ var model = __webpack_require__(744);
+ model.paginators = __webpack_require__(745).pagination;
return model;
},
enumerable: true,
@@ -50549,19 +50560,19 @@ return /******/ (function(modules) { // webpackBootstrap
/***/ }),
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+/* 744 */
/***/ (function(module, exports) {
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@@ -50573,8 +50584,8 @@ return /******/ (function(modules) { // webpackBootstrap
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Object.defineProperty(apiLoader.services['servicequotas'], '2019-06-24', {
get: function get() {
- var model = __webpack_require__(746);
- model.paginators = __webpack_require__(747).pagination;
+ var model = __webpack_require__(747);
+ model.paginators = __webpack_require__(748).pagination;
return model;
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@@ -50585,19 +50596,19 @@ return /******/ (function(modules) { // webpackBootstrap
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/***/ (function(module, exports) {
module.exports = {"pagination":{"ListAWSDefaultServiceQuotas":{"input_token":"NextToken","limit_key":"MaxResults","output_token":"NextToken","result_key":"Quotas"},"ListRequestedServiceQuotaChangeHistory":{"input_token":"NextToken","limit_key":"MaxResults","output_token":"NextToken","result_key":"RequestedQuotas"},"ListRequestedServiceQuotaChangeHistoryByQuota":{"input_token":"NextToken","limit_key":"MaxResults","output_token":"NextToken","result_key":"RequestedQuotas"},"ListServiceQuotaIncreaseRequestsInTemplate":{"input_token":"NextToken","limit_key":"MaxResults","output_token":"NextToken","result_key":"ServiceQuotaIncreaseRequestInTemplateList"},"ListServiceQuotas":{"input_token":"NextToken","limit_key":"MaxResults","output_token":"NextToken","result_key":"Quotas"},"ListServices":{"input_token":"NextToken","limit_key":"MaxResults","output_token":"NextToken","result_key":"Services"}}}
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/***/ (function(module, exports, __webpack_require__) {
__webpack_require__(2);
@@ -50609,8 +50620,8 @@ return /******/ (function(modules) { // webpackBootstrap
AWS.EC2InstanceConnect = Service.defineService('ec2instanceconnect', ['2018-04-02']);
Object.defineProperty(apiLoader.services['ec2instanceconnect'], '2018-04-02', {
get: function get() {
- var model = __webpack_require__(749);
- model.paginators = __webpack_require__(750).pagination;
+ var model = __webpack_require__(750);
+ model.paginators = __webpack_require__(751).pagination;
return model;
},
enumerable: true,
@@ -50621,19 +50632,19 @@ return /******/ (function(modules) { // webpackBootstrap
/***/ }),
-/* 749 */
+/* 750 */
/***/ (function(module, exports) {
module.exports = {"version":"2.0","metadata":{"apiVersion":"2018-04-02","endpointPrefix":"ec2-instance-connect","jsonVersion":"1.1","protocol":"json","serviceAbbreviation":"EC2 Instance Connect","serviceFullName":"AWS EC2 Instance Connect","serviceId":"EC2 Instance Connect","signatureVersion":"v4","targetPrefix":"AWSEC2InstanceConnectService","uid":"ec2-instance-connect-2018-04-02"},"operations":{"SendSSHPublicKey":{"input":{"type":"structure","required":["InstanceId","InstanceOSUser","SSHPublicKey","AvailabilityZone"],"members":{"InstanceId":{},"InstanceOSUser":{},"SSHPublicKey":{},"AvailabilityZone":{}}},"output":{"type":"structure","members":{"RequestId":{},"Success":{"type":"boolean"}}}}},"shapes":{}}
/***/ }),
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/***/ (function(module, exports) {
module.exports = {"pagination":{}}
/***/ }),
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/***/ (function(module, exports, __webpack_require__) {
__webpack_require__(2);
@@ -50645,8 +50656,8 @@ return /******/ (function(modules) { // webpackBootstrap
AWS.EventBridge = Service.defineService('eventbridge', ['2015-10-07']);
Object.defineProperty(apiLoader.services['eventbridge'], '2015-10-07', {
get: function get() {
- var model = __webpack_require__(752);
- model.paginators = __webpack_require__(753).pagination;
+ var model = __webpack_require__(753);
+ model.paginators = __webpack_require__(754).pagination;
return model;
},
enumerable: true,
@@ -50657,19 +50668,19 @@ return /******/ (function(modules) { // webpackBootstrap
/***/ }),
-/* 752 */
+/* 753 */
/***/ (function(module, exports) {
module.exports = {"version":"2.0","metadata":{"apiVersion":"2015-10-07","endpointPrefix":"events","jsonVersion":"1.1","protocol":"json","serviceFullName":"Amazon 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-/* 753 */
+/* 754 */
/***/ (function(module, exports) {
module.exports = {"pagination":{}}
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+/* 755 */
/***/ (function(module, exports, __webpack_require__) {
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@@ -50681,8 +50692,8 @@ return /******/ (function(modules) { // webpackBootstrap
AWS.LakeFormation = Service.defineService('lakeformation', ['2017-03-31']);
Object.defineProperty(apiLoader.services['lakeformation'], '2017-03-31', {
get: function get() {
- var model = __webpack_require__(755);
- model.paginators = __webpack_require__(756).pagination;
+ var model = __webpack_require__(756);
+ model.paginators = __webpack_require__(757).pagination;
return model;
},
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@@ -50693,19 +50704,19 @@ return /******/ (function(modules) { // webpackBootstrap
/***/ }),
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+/* 756 */
/***/ (function(module, exports) {
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/***/ }),
-/* 756 */
+/* 757 */
/***/ (function(module, exports) {
module.exports = {"pagination":{"GetEffectivePermissionsForPath":{"input_token":"NextToken","output_token":"NextToken","limit_key":"MaxResults"},"ListPermissions":{"input_token":"NextToken","output_token":"NextToken","limit_key":"MaxResults"},"ListResources":{"input_token":"NextToken","output_token":"NextToken","limit_key":"MaxResults"}}}
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/***/ (function(module, exports, __webpack_require__) {
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@@ -50717,8 +50728,8 @@ return /******/ (function(modules) { // webpackBootstrap
AWS.ForecastService = Service.defineService('forecastservice', ['2018-06-26']);
Object.defineProperty(apiLoader.services['forecastservice'], '2018-06-26', {
get: function get() {
- var model = __webpack_require__(758);
- model.paginators = __webpack_require__(759).pagination;
+ var model = __webpack_require__(759);
+ model.paginators = __webpack_require__(760).pagination;
return model;
},
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@@ -50729,19 +50740,19 @@ return /******/ (function(modules) { // webpackBootstrap
/***/ }),
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+/* 759 */
/***/ (function(module, exports) {
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/***/ (function(module, exports) {
module.exports = {"pagination":{"ListDatasetGroups":{"input_token":"NextToken","limit_key":"MaxResults","output_token":"NextToken","result_key":"DatasetGroups"},"ListDatasetImportJobs":{"input_token":"NextToken","limit_key":"MaxResults","output_token":"NextToken","result_key":"DatasetImportJobs"},"ListDatasets":{"input_token":"NextToken","limit_key":"MaxResults","output_token":"NextToken","result_key":"Datasets"},"ListForecastExportJobs":{"input_token":"NextToken","limit_key":"MaxResults","output_token":"NextToken","result_key":"ForecastExportJobs"},"ListForecasts":{"input_token":"NextToken","limit_key":"MaxResults","output_token":"NextToken","result_key":"Forecasts"},"ListPredictors":{"input_token":"NextToken","limit_key":"MaxResults","output_token":"NextToken","result_key":"Predictors"}}}
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__webpack_require__(2);
@@ -50753,8 +50764,8 @@ return /******/ (function(modules) { // webpackBootstrap
AWS.ForecastQueryService = Service.defineService('forecastqueryservice', ['2018-06-26']);
Object.defineProperty(apiLoader.services['forecastqueryservice'], '2018-06-26', {
get: function get() {
- var model = __webpack_require__(761);
- model.paginators = __webpack_require__(762).pagination;
+ var model = __webpack_require__(762);
+ model.paginators = __webpack_require__(763).pagination;
return model;
},
enumerable: true,
@@ -50765,19 +50776,19 @@ return /******/ (function(modules) { // webpackBootstrap
/***/ }),
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+/* 762 */
/***/ (function(module, exports) {
module.exports = {"version":"2.0","metadata":{"apiVersion":"2018-06-26","endpointPrefix":"forecastquery","jsonVersion":"1.1","protocol":"json","serviceFullName":"Amazon Forecast Query Service","serviceId":"forecastquery","signatureVersion":"v4","signingName":"forecast","targetPrefix":"AmazonForecastRuntime","uid":"forecastquery-2018-06-26"},"operations":{"QueryForecast":{"input":{"type":"structure","required":["ForecastArn","Filters"],"members":{"ForecastArn":{},"StartDate":{},"EndDate":{},"Filters":{"type":"map","key":{},"value":{}},"NextToken":{}}},"output":{"type":"structure","members":{"Forecast":{"type":"structure","members":{"Predictions":{"type":"map","key":{},"value":{"type":"list","member":{"type":"structure","members":{"Timestamp":{},"Value":{"type":"double"}}}}}}}}}}},"shapes":{}}
/***/ }),
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/***/ (function(module, exports) {
module.exports = {"pagination":{}}
/***/ }),
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/***/ (function(module, exports, __webpack_require__) {
__webpack_require__(2);
@@ -50789,8 +50800,8 @@ return /******/ (function(modules) { // webpackBootstrap
AWS.QLDB = Service.defineService('qldb', ['2019-01-02']);
Object.defineProperty(apiLoader.services['qldb'], '2019-01-02', {
get: function get() {
- var model = __webpack_require__(764);
- model.paginators = __webpack_require__(765).pagination;
+ var model = __webpack_require__(765);
+ model.paginators = __webpack_require__(766).pagination;
return model;
},
enumerable: true,
@@ -50801,19 +50812,19 @@ return /******/ (function(modules) { // webpackBootstrap
/***/ }),
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+/* 765 */
/***/ (function(module, exports) {
module.exports = {"version":"2.0","metadata":{"apiVersion":"2019-01-02","endpointPrefix":"qldb","jsonVersion":"1.0","protocol":"rest-json","serviceAbbreviation":"QLDB","serviceFullName":"Amazon 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/***/ }),
-/* 765 */
+/* 766 */
/***/ (function(module, exports) {
module.exports = {"pagination":{"ListJournalS3Exports":{"input_token":"NextToken","output_token":"NextToken","limit_key":"MaxResults"},"ListJournalS3ExportsForLedger":{"input_token":"NextToken","output_token":"NextToken","limit_key":"MaxResults"},"ListLedgers":{"input_token":"NextToken","output_token":"NextToken","limit_key":"MaxResults"}}}
/***/ }),
-/* 766 */
+/* 767 */
/***/ (function(module, exports, __webpack_require__) {
__webpack_require__(2);
@@ -50825,8 +50836,8 @@ return /******/ (function(modules) { // webpackBootstrap
AWS.QLDBSession = Service.defineService('qldbsession', ['2019-07-11']);
Object.defineProperty(apiLoader.services['qldbsession'], '2019-07-11', {
get: function get() {
- var model = __webpack_require__(767);
- model.paginators = __webpack_require__(768).pagination;
+ var model = __webpack_require__(768);
+ model.paginators = __webpack_require__(769).pagination;
return model;
},
enumerable: true,
@@ -50837,19 +50848,19 @@ return /******/ (function(modules) { // webpackBootstrap
/***/ }),
-/* 767 */
+/* 768 */
/***/ (function(module, exports) {
module.exports = {"version":"2.0","metadata":{"apiVersion":"2019-07-11","endpointPrefix":"session.qldb","jsonVersion":"1.0","protocol":"json","serviceAbbreviation":"QLDB Session","serviceFullName":"Amazon QLDB Session","serviceId":"QLDB Session","signatureVersion":"v4","signingName":"qldb","targetPrefix":"QLDBSession","uid":"qldb-session-2019-07-11"},"operations":{"SendCommand":{"input":{"type":"structure","members":{"SessionToken":{},"StartSession":{"type":"structure","required":["LedgerName"],"members":{"LedgerName":{}}},"StartTransaction":{"type":"structure","members":{}},"EndSession":{"type":"structure","members":{}},"CommitTransaction":{"type":"structure","required":["TransactionId","CommitDigest"],"members":{"TransactionId":{},"CommitDigest":{"type":"blob"}}},"AbortTransaction":{"type":"structure","members":{}},"ExecuteStatement":{"type":"structure","required":["TransactionId","Statement"],"members":{"TransactionId":{},"Statement":{},"Parameters":{"type":"list","member":{"shape":"Se"}}}},"FetchPage":{"type":"structure","required":["TransactionId","NextPageToken"],"members":{"TransactionId":{},"NextPageToken":{}}}}},"output":{"type":"structure","members":{"StartSession":{"type":"structure","members":{"SessionToken":{}}},"StartTransaction":{"type":"structure","members":{"TransactionId":{}}},"EndSession":{"type":"structure","members":{}},"CommitTransaction":{"type":"structure","members":{"TransactionId":{},"CommitDigest":{"type":"blob"}}},"AbortTransaction":{"type":"structure","members":{}},"ExecuteStatement":{"type":"structure","members":{"FirstPage":{"shape":"Sq"}}},"FetchPage":{"type":"structure","members":{"Page":{"shape":"Sq"}}}}}}},"shapes":{"Se":{"type":"structure","members":{"IonBinary":{"type":"blob"},"IonText":{}}},"Sq":{"type":"structure","members":{"Values":{"type":"list","member":{"shape":"Se"}},"NextPageToken":{}}}}}
/***/ }),
-/* 768 */
+/* 769 */
/***/ (function(module, exports) {
module.exports = {"pagination":{}}
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/***/ (function(module, exports, __webpack_require__) {
__webpack_require__(2);
@@ -50861,8 +50872,8 @@ return /******/ (function(modules) { // webpackBootstrap
AWS.WorkMailMessageFlow = Service.defineService('workmailmessageflow', ['2019-05-01']);
Object.defineProperty(apiLoader.services['workmailmessageflow'], '2019-05-01', {
get: function get() {
- var model = __webpack_require__(770);
- model.paginators = __webpack_require__(771).pagination;
+ var model = __webpack_require__(771);
+ model.paginators = __webpack_require__(772).pagination;
return model;
},
enumerable: true,
@@ -50873,19 +50884,19 @@ return /******/ (function(modules) { // webpackBootstrap
/***/ }),
-/* 770 */
+/* 771 */
/***/ (function(module, exports) {
module.exports = {"version":"2.0","metadata":{"apiVersion":"2019-05-01","endpointPrefix":"workmailmessageflow","jsonVersion":"1.1","protocol":"rest-json","serviceFullName":"Amazon WorkMail Message Flow","serviceId":"WorkMailMessageFlow","signatureVersion":"v4","uid":"workmailmessageflow-2019-05-01"},"operations":{"GetRawMessageContent":{"http":{"method":"GET","requestUri":"/messages/{messageId}"},"input":{"type":"structure","required":["messageId"],"members":{"messageId":{"location":"uri","locationName":"messageId"}}},"output":{"type":"structure","required":["messageContent"],"members":{"messageContent":{"type":"blob","streaming":true}},"payload":"messageContent"}}},"shapes":{}}
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-/* 771 */
+/* 772 */
/***/ (function(module, exports) {
module.exports = {"pagination":{}}
/***/ }),
-/* 772 */
+/* 773 */
/***/ (function(module, exports, __webpack_require__) {
__webpack_require__(2);
@@ -50897,8 +50908,8 @@ return /******/ (function(modules) { // webpackBootstrap
AWS.CodeStarNotifications = Service.defineService('codestarnotifications', ['2019-10-15']);
Object.defineProperty(apiLoader.services['codestarnotifications'], '2019-10-15', {
get: function get() {
- var model = __webpack_require__(773);
- model.paginators = __webpack_require__(774).pagination;
+ var model = __webpack_require__(774);
+ model.paginators = __webpack_require__(775).pagination;
return model;
},
enumerable: true,
@@ -50909,19 +50920,19 @@ return /******/ (function(modules) { // webpackBootstrap
/***/ }),
-/* 773 */
+/* 774 */
/***/ (function(module, exports) {
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/***/ }),
-/* 774 */
+/* 775 */
/***/ (function(module, exports) {
module.exports = {"pagination":{"ListEventTypes":{"input_token":"NextToken","limit_key":"MaxResults","output_token":"NextToken","result_key":"EventTypes"},"ListNotificationRules":{"input_token":"NextToken","limit_key":"MaxResults","output_token":"NextToken","result_key":"NotificationRules"},"ListTargets":{"input_token":"NextToken","limit_key":"MaxResults","output_token":"NextToken","result_key":"Targets"}}}
/***/ }),
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+/* 776 */
/***/ (function(module, exports, __webpack_require__) {
__webpack_require__(2);
@@ -50933,8 +50944,8 @@ return /******/ (function(modules) { // webpackBootstrap
AWS.SavingsPlans = Service.defineService('savingsplans', ['2019-06-28']);
Object.defineProperty(apiLoader.services['savingsplans'], '2019-06-28', {
get: function get() {
- var model = __webpack_require__(776);
- model.paginators = __webpack_require__(777).pagination;
+ var model = __webpack_require__(777);
+ model.paginators = __webpack_require__(778).pagination;
return model;
},
enumerable: true,
@@ -50945,19 +50956,19 @@ return /******/ (function(modules) { // webpackBootstrap
/***/ }),
-/* 776 */
+/* 777 */
/***/ (function(module, exports) {
module.exports = {"version":"2.0","metadata":{"apiVersion":"2019-06-28","endpointPrefix":"savingsplans","globalEndpoint":"savingsplans.amazonaws.com","jsonVersion":"1.0","protocol":"rest-json","serviceAbbreviation":"AWSSavingsPlans","serviceFullName":"AWS Savings 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/***/ }),
-/* 777 */
+/* 778 */
/***/ (function(module, exports) {
module.exports = {"pagination":{}}
/***/ }),
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+/* 779 */
/***/ (function(module, exports, __webpack_require__) {
__webpack_require__(2);
@@ -50969,8 +50980,8 @@ return /******/ (function(modules) { // webpackBootstrap
AWS.SSO = Service.defineService('sso', ['2019-06-10']);
Object.defineProperty(apiLoader.services['sso'], '2019-06-10', {
get: function get() {
- var model = __webpack_require__(779);
- model.paginators = __webpack_require__(780).pagination;
+ var model = __webpack_require__(780);
+ model.paginators = __webpack_require__(781).pagination;
return model;
},
enumerable: true,
@@ -50981,19 +50992,19 @@ return /******/ (function(modules) { // webpackBootstrap
/***/ }),
-/* 779 */
+/* 780 */
/***/ (function(module, exports) {
module.exports = {"version":"2.0","metadata":{"apiVersion":"2019-06-10","endpointPrefix":"portal.sso","jsonVersion":"1.1","protocol":"rest-json","serviceAbbreviation":"SSO","serviceFullName":"AWS Single Sign-On","serviceId":"SSO","signatureVersion":"v4","signingName":"awsssoportal","uid":"sso-2019-06-10"},"operations":{"GetRoleCredentials":{"http":{"method":"GET","requestUri":"/federation/credentials"},"input":{"type":"structure","required":["roleName","accountId","accessToken"],"members":{"roleName":{"location":"querystring","locationName":"role_name"},"accountId":{"location":"querystring","locationName":"account_id"},"accessToken":{"shape":"S4","location":"header","locationName":"x-amz-sso_bearer_token"}}},"output":{"type":"structure","members":{"roleCredentials":{"type":"structure","members":{"accessKeyId":{},"secretAccessKey":{"type":"string","sensitive":true},"sessionToken":{"type":"string","sensitive":true},"expiration":{"type":"long"}}}}},"authtype":"none"},"ListAccountRoles":{"http":{"method":"GET","requestUri":"/assignment/roles"},"input":{"type":"structure","required":["accessToken","accountId"],"members":{"nextToken":{"location":"querystring","locationName":"next_token"},"maxResults":{"location":"querystring","locationName":"max_result","type":"integer"},"accessToken":{"shape":"S4","location":"header","locationName":"x-amz-sso_bearer_token"},"accountId":{"location":"querystring","locationName":"account_id"}}},"output":{"type":"structure","members":{"nextToken":{},"roleList":{"type":"list","member":{"type":"structure","members":{"roleName":{},"accountId":{}}}}}},"authtype":"none"},"ListAccounts":{"http":{"method":"GET","requestUri":"/assignment/accounts"},"input":{"type":"structure","required":["accessToken"],"members":{"nextToken":{"location":"querystring","locationName":"next_token"},"maxResults":{"location":"querystring","locationName":"max_result","type":"integer"},"accessToken":{"shape":"S4","location":"header","locationName":"x-amz-sso_bearer_token"}}},"output":{"type":"structure","members":{"nextToken":{},"accountList":{"type":"list","member":{"type":"structure","members":{"accountId":{},"accountName":{},"emailAddress":{}}}}}},"authtype":"none"},"Logout":{"http":{"requestUri":"/logout"},"input":{"type":"structure","required":["accessToken"],"members":{"accessToken":{"shape":"S4","location":"header","locationName":"x-amz-sso_bearer_token"}}},"authtype":"none"}},"shapes":{"S4":{"type":"string","sensitive":true}}}
/***/ }),
-/* 780 */
+/* 781 */
/***/ (function(module, exports) {
module.exports = {"pagination":{"ListAccountRoles":{"input_token":"nextToken","output_token":"nextToken","limit_key":"maxResults","result_key":"roleList"},"ListAccounts":{"input_token":"nextToken","output_token":"nextToken","limit_key":"maxResults","result_key":"accountList"}}}
/***/ }),
-/* 781 */
+/* 782 */
/***/ (function(module, exports, __webpack_require__) {
__webpack_require__(2);
@@ -51005,8 +51016,8 @@ return /******/ (function(modules) { // webpackBootstrap
AWS.SSOOIDC = Service.defineService('ssooidc', ['2019-06-10']);
Object.defineProperty(apiLoader.services['ssooidc'], '2019-06-10', {
get: function get() {
- var model = __webpack_require__(782);
- model.paginators = __webpack_require__(783).pagination;
+ var model = __webpack_require__(783);
+ model.paginators = __webpack_require__(784).pagination;
return model;
},
enumerable: true,
@@ -51017,19 +51028,19 @@ return /******/ (function(modules) { // webpackBootstrap
/***/ }),
-/* 782 */
+/* 783 */
/***/ (function(module, exports) {
module.exports = {"version":"2.0","metadata":{"apiVersion":"2019-06-10","endpointPrefix":"oidc","jsonVersion":"1.1","protocol":"rest-json","serviceAbbreviation":"SSO OIDC","serviceFullName":"AWS SSO OIDC","serviceId":"SSO OIDC","signatureVersion":"v4","signingName":"awsssooidc","uid":"sso-oidc-2019-06-10"},"operations":{"CreateToken":{"http":{"requestUri":"/token"},"input":{"type":"structure","required":["clientId","clientSecret","grantType","deviceCode"],"members":{"clientId":{},"clientSecret":{},"grantType":{},"deviceCode":{},"code":{},"refreshToken":{},"scope":{"shape":"S8"},"redirectUri":{}}},"output":{"type":"structure","members":{"accessToken":{},"tokenType":{},"expiresIn":{"type":"integer"},"refreshToken":{},"idToken":{}}},"authtype":"none"},"RegisterClient":{"http":{"requestUri":"/client/register"},"input":{"type":"structure","required":["clientName","clientType"],"members":{"clientName":{},"clientType":{},"scopes":{"shape":"S8"}}},"output":{"type":"structure","members":{"clientId":{},"clientSecret":{},"clientIdIssuedAt":{"type":"long"},"clientSecretExpiresAt":{"type":"long"},"authorizationEndpoint":{},"tokenEndpoint":{}}},"authtype":"none"},"StartDeviceAuthorization":{"http":{"requestUri":"/device_authorization"},"input":{"type":"structure","required":["clientId","clientSecret","startUrl"],"members":{"clientId":{},"clientSecret":{},"startUrl":{}}},"output":{"type":"structure","members":{"deviceCode":{},"userCode":{},"verificationUri":{},"verificationUriComplete":{},"expiresIn":{"type":"integer"},"interval":{"type":"integer"}}},"authtype":"none"}},"shapes":{"S8":{"type":"list","member":{}}}}
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/***/ (function(module, exports) {
module.exports = {"pagination":{}}
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+/* 785 */
/***/ (function(module, exports, __webpack_require__) {
__webpack_require__(2);
@@ -51041,8 +51052,8 @@ return /******/ (function(modules) { // webpackBootstrap
AWS.MarketplaceCatalog = Service.defineService('marketplacecatalog', ['2018-09-17']);
Object.defineProperty(apiLoader.services['marketplacecatalog'], '2018-09-17', {
get: function get() {
- var model = __webpack_require__(785);
- model.paginators = __webpack_require__(786).pagination;
+ var model = __webpack_require__(786);
+ model.paginators = __webpack_require__(787).pagination;
return model;
},
enumerable: true,
@@ -51053,19 +51064,19 @@ return /******/ (function(modules) { // webpackBootstrap
/***/ }),
-/* 785 */
+/* 786 */
/***/ (function(module, exports) {
module.exports = {"version":"2.0","metadata":{"apiVersion":"2018-09-17","endpointPrefix":"catalog.marketplace","jsonVersion":"1.1","protocol":"rest-json","serviceAbbreviation":"AWS Marketplace Catalog","serviceFullName":"AWS Marketplace Catalog Service","serviceId":"Marketplace Catalog","signatureVersion":"v4","signingName":"aws-marketplace","uid":"marketplace-catalog-2018-09-17"},"operations":{"CancelChangeSet":{"http":{"method":"PATCH","requestUri":"/CancelChangeSet"},"input":{"type":"structure","required":["Catalog","ChangeSetId"],"members":{"Catalog":{"location":"querystring","locationName":"catalog"},"ChangeSetId":{"location":"querystring","locationName":"changeSetId"}}},"output":{"type":"structure","members":{"ChangeSetId":{},"ChangeSetArn":{}}}},"DescribeChangeSet":{"http":{"method":"GET","requestUri":"/DescribeChangeSet"},"input":{"type":"structure","required":["Catalog","ChangeSetId"],"members":{"Catalog":{"location":"querystring","locationName":"catalog"},"ChangeSetId":{"location":"querystring","locationName":"changeSetId"}}},"output":{"type":"structure","members":{"ChangeSetId":{},"ChangeSetArn":{},"ChangeSetName":{},"StartTime":{},"EndTime":{},"Status":{},"FailureDescription":{},"ChangeSet":{"type":"list","member":{"type":"structure","members":{"ChangeType":{},"Entity":{"shape":"Sf"},"ErrorDetailList":{"type":"list","member":{"type":"structure","members":{"ErrorCode":{},"ErrorMessage":{}}}}}}}}}},"DescribeEntity":{"http":{"method":"GET","requestUri":"/DescribeEntity"},"input":{"type":"structure","required":["Catalog","EntityId"],"members":{"Catalog":{"location":"querystring","locationName":"catalog"},"EntityId":{"location":"querystring","locationName":"entityId"}}},"output":{"type":"structure","members":{"EntityType":{},"EntityIdentifier":{},"EntityArn":{},"LastModifiedDate":{},"Details":{}}}},"ListChangeSets":{"http":{"requestUri":"/ListChangeSets"},"input":{"type":"structure","required":["Catalog"],"members":{"Catalog":{},"FilterList":{"shape":"So"},"Sort":{"shape":"Ss"},"MaxResults":{"type":"integer"},"NextToken":{}}},"output":{"type":"structure","members":{"ChangeSetSummaryList":{"type":"list","member":{"type":"structure","members":{"ChangeSetId":{},"ChangeSetArn":{},"ChangeSetName":{},"StartTime":{},"EndTime":{},"Status":{},"EntityIdList":{"type":"list","member":{}}}}},"NextToken":{}}}},"ListEntities":{"http":{"requestUri":"/ListEntities"},"input":{"type":"structure","required":["Catalog","EntityType"],"members":{"Catalog":{},"EntityType":{},"FilterList":{"shape":"So"},"Sort":{"shape":"Ss"},"NextToken":{},"MaxResults":{"type":"integer"}}},"output":{"type":"structure","members":{"EntitySummaryList":{"type":"list","member":{"type":"structure","members":{"Name":{},"EntityType":{},"EntityId":{},"EntityArn":{},"LastModifiedDate":{},"Visibility":{}}}},"NextToken":{}}}},"StartChangeSet":{"http":{"requestUri":"/StartChangeSet"},"input":{"type":"structure","required":["Catalog","ChangeSet"],"members":{"Catalog":{},"ChangeSet":{"type":"list","member":{"type":"structure","required":["ChangeType","Entity","Details"],"members":{"ChangeType":{},"Entity":{"shape":"Sf"},"Details":{}}}},"ChangeSetName":{},"ClientRequestToken":{}}},"output":{"type":"structure","members":{"ChangeSetId":{},"ChangeSetArn":{}}}}},"shapes":{"Sf":{"type":"structure","required":["Type"],"members":{"Type":{},"Identifier":{}}},"So":{"type":"list","member":{"type":"structure","members":{"Name":{},"ValueList":{"type":"list","member":{}}}}},"Ss":{"type":"structure","members":{"SortBy":{},"SortOrder":{}}}}}
/***/ }),
-/* 786 */
+/* 787 */
/***/ (function(module, exports) {
module.exports = {"pagination":{"ListChangeSets":{"input_token":"NextToken","output_token":"NextToken","limit_key":"MaxResults"},"ListEntities":{"input_token":"NextToken","output_token":"NextToken","limit_key":"MaxResults"}}}
/***/ }),
-/* 787 */
+/* 788 */
/***/ (function(module, exports, __webpack_require__) {
__webpack_require__(2);
@@ -51077,8 +51088,8 @@ return /******/ (function(modules) { // webpackBootstrap
AWS.DataExchange = Service.defineService('dataexchange', ['2017-07-25']);
Object.defineProperty(apiLoader.services['dataexchange'], '2017-07-25', {
get: function get() {
- var model = __webpack_require__(788);
- model.paginators = __webpack_require__(789).pagination;
+ var model = __webpack_require__(789);
+ model.paginators = __webpack_require__(790).pagination;
return model;
},
enumerable: true,
@@ -51089,19 +51100,19 @@ return /******/ (function(modules) { // webpackBootstrap
/***/ }),
-/* 788 */
+/* 789 */
/***/ (function(module, exports) {
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+/* 790 */
/***/ (function(module, exports) {
module.exports = {"pagination":{"ListDataSetRevisions":{"input_token":"NextToken","output_token":"NextToken","limit_key":"MaxResults","result_key":"Revisions"},"ListDataSets":{"input_token":"NextToken","output_token":"NextToken","limit_key":"MaxResults","result_key":"DataSets"},"ListJobs":{"input_token":"NextToken","output_token":"NextToken","limit_key":"MaxResults","result_key":"Jobs"},"ListRevisionAssets":{"input_token":"NextToken","output_token":"NextToken","limit_key":"MaxResults","result_key":"Assets"}}}
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-/* 790 */
+/* 791 */
/***/ (function(module, exports, __webpack_require__) {
__webpack_require__(2);
@@ -51113,8 +51124,8 @@ return /******/ (function(modules) { // webpackBootstrap
AWS.SESV2 = Service.defineService('sesv2', ['2019-09-27']);
Object.defineProperty(apiLoader.services['sesv2'], '2019-09-27', {
get: function get() {
- var model = __webpack_require__(791);
- model.paginators = __webpack_require__(792).pagination;
+ var model = __webpack_require__(792);
+ model.paginators = __webpack_require__(793).pagination;
return model;
},
enumerable: true,
@@ -51125,19 +51136,19 @@ return /******/ (function(modules) { // webpackBootstrap
/***/ }),
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+/* 792 */
/***/ (function(module, exports) {
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-/* 792 */
+/* 793 */
/***/ (function(module, exports) {
module.exports = {"pagination":{"GetDedicatedIps":{"input_token":"NextToken","output_token":"NextToken","limit_key":"PageSize"},"ListConfigurationSets":{"input_token":"NextToken","output_token":"NextToken","limit_key":"PageSize"},"ListDedicatedIpPools":{"input_token":"NextToken","output_token":"NextToken","limit_key":"PageSize"},"ListDeliverabilityTestReports":{"input_token":"NextToken","output_token":"NextToken","limit_key":"PageSize"},"ListDomainDeliverabilityCampaigns":{"input_token":"NextToken","output_token":"NextToken","limit_key":"PageSize"},"ListEmailIdentities":{"input_token":"NextToken","output_token":"NextToken","limit_key":"PageSize"},"ListSuppressedDestinations":{"input_token":"NextToken","output_token":"NextToken","limit_key":"PageSize"}}}
/***/ }),
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+/* 794 */
/***/ (function(module, exports, __webpack_require__) {
__webpack_require__(2);
@@ -51149,8 +51160,8 @@ return /******/ (function(modules) { // webpackBootstrap
AWS.MigrationHubConfig = Service.defineService('migrationhubconfig', ['2019-06-30']);
Object.defineProperty(apiLoader.services['migrationhubconfig'], '2019-06-30', {
get: function get() {
- var model = __webpack_require__(794);
- model.paginators = __webpack_require__(795).pagination;
+ var model = __webpack_require__(795);
+ model.paginators = __webpack_require__(796).pagination;
return model;
},
enumerable: true,
@@ -51161,19 +51172,19 @@ return /******/ (function(modules) { // webpackBootstrap
/***/ }),
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+/* 795 */
/***/ (function(module, exports) {
module.exports = {"version":"2.0","metadata":{"apiVersion":"2019-06-30","endpointPrefix":"migrationhub-config","jsonVersion":"1.1","protocol":"json","serviceFullName":"AWS Migration Hub Config","serviceId":"MigrationHub Config","signatureVersion":"v4","signingName":"mgh","targetPrefix":"AWSMigrationHubMultiAccountService","uid":"migrationhub-config-2019-06-30"},"operations":{"CreateHomeRegionControl":{"input":{"type":"structure","required":["HomeRegion","Target"],"members":{"HomeRegion":{},"Target":{"shape":"S3"},"DryRun":{"type":"boolean"}}},"output":{"type":"structure","members":{"HomeRegionControl":{"shape":"S8"}}}},"DescribeHomeRegionControls":{"input":{"type":"structure","members":{"ControlId":{},"HomeRegion":{},"Target":{"shape":"S3"},"MaxResults":{"type":"integer"},"NextToken":{}}},"output":{"type":"structure","members":{"HomeRegionControls":{"type":"list","member":{"shape":"S8"}},"NextToken":{}}}},"GetHomeRegion":{"input":{"type":"structure","members":{}},"output":{"type":"structure","members":{"HomeRegion":{}}}}},"shapes":{"S3":{"type":"structure","required":["Type"],"members":{"Type":{},"Id":{}}},"S8":{"type":"structure","members":{"ControlId":{},"HomeRegion":{},"Target":{"shape":"S3"},"RequestedTime":{"type":"timestamp"}}}}}
/***/ }),
-/* 795 */
+/* 796 */
/***/ (function(module, exports) {
module.exports = {"pagination":{"DescribeHomeRegionControls":{"input_token":"NextToken","output_token":"NextToken","limit_key":"MaxResults"}}}
/***/ }),
-/* 796 */
+/* 797 */
/***/ (function(module, exports, __webpack_require__) {
__webpack_require__(2);
@@ -51185,8 +51196,8 @@ return /******/ (function(modules) { // webpackBootstrap
AWS.ConnectParticipant = Service.defineService('connectparticipant', ['2018-09-07']);
Object.defineProperty(apiLoader.services['connectparticipant'], '2018-09-07', {
get: function get() {
- var model = __webpack_require__(797);
- model.paginators = __webpack_require__(798).pagination;
+ var model = __webpack_require__(798);
+ model.paginators = __webpack_require__(799).pagination;
return model;
},
enumerable: true,
@@ -51197,19 +51208,19 @@ return /******/ (function(modules) { // webpackBootstrap
/***/ }),
-/* 797 */
+/* 798 */
/***/ (function(module, exports) {
module.exports = {"version":"2.0","metadata":{"apiVersion":"2018-09-07","endpointPrefix":"participant.connect","jsonVersion":"1.1","protocol":"rest-json","serviceAbbreviation":"Amazon Connect Participant","serviceFullName":"Amazon Connect Participant Service","serviceId":"ConnectParticipant","signatureVersion":"v4","signingName":"execute-api","uid":"connectparticipant-2018-09-07"},"operations":{"CreateParticipantConnection":{"http":{"requestUri":"/participant/connection"},"input":{"type":"structure","required":["Type","ParticipantToken"],"members":{"Type":{"type":"list","member":{}},"ParticipantToken":{"location":"header","locationName":"X-Amz-Bearer"}}},"output":{"type":"structure","members":{"Websocket":{"type":"structure","members":{"Url":{},"ConnectionExpiry":{}}},"ConnectionCredentials":{"type":"structure","members":{"ConnectionToken":{},"Expiry":{}}}}}},"DisconnectParticipant":{"http":{"requestUri":"/participant/disconnect"},"input":{"type":"structure","required":["ConnectionToken"],"members":{"ClientToken":{"idempotencyToken":true},"ConnectionToken":{"location":"header","locationName":"X-Amz-Bearer"}}},"output":{"type":"structure","members":{}}},"GetTranscript":{"http":{"requestUri":"/participant/transcript"},"input":{"type":"structure","required":["ConnectionToken"],"members":{"ContactId":{},"MaxResults":{"type":"integer"},"NextToken":{},"ScanDirection":{},"SortOrder":{},"StartPosition":{"type":"structure","members":{"Id":{},"AbsoluteTime":{},"MostRecent":{"type":"integer"}}},"ConnectionToken":{"location":"header","locationName":"X-Amz-Bearer"}}},"output":{"type":"structure","members":{"InitialContactId":{},"Transcript":{"type":"list","member":{"type":"structure","members":{"AbsoluteTime":{},"Content":{},"ContentType":{},"Id":{},"Type":{},"ParticipantId":{},"DisplayName":{},"ParticipantRole":{}}}},"NextToken":{}}}},"SendEvent":{"http":{"requestUri":"/participant/event"},"input":{"type":"structure","required":["ContentType","ConnectionToken"],"members":{"ContentType":{},"Content":{},"ClientToken":{"idempotencyToken":true},"ConnectionToken":{"location":"header","locationName":"X-Amz-Bearer"}}},"output":{"type":"structure","members":{"Id":{},"AbsoluteTime":{}}}},"SendMessage":{"http":{"requestUri":"/participant/message"},"input":{"type":"structure","required":["ContentType","Content","ConnectionToken"],"members":{"ContentType":{},"Content":{},"ClientToken":{"idempotencyToken":true},"ConnectionToken":{"location":"header","locationName":"X-Amz-Bearer"}}},"output":{"type":"structure","members":{"Id":{},"AbsoluteTime":{}}}}},"shapes":{}}
/***/ }),
-/* 798 */
+/* 799 */
/***/ (function(module, exports) {
module.exports = {"pagination":{"GetTranscript":{"input_token":"NextToken","output_token":"NextToken","limit_key":"MaxResults"}}}
/***/ }),
-/* 799 */
+/* 800 */
/***/ (function(module, exports, __webpack_require__) {
__webpack_require__(2);
@@ -51221,8 +51232,8 @@ return /******/ (function(modules) { // webpackBootstrap
AWS.AppConfig = Service.defineService('appconfig', ['2019-10-09']);
Object.defineProperty(apiLoader.services['appconfig'], '2019-10-09', {
get: function get() {
- var model = __webpack_require__(800);
- model.paginators = __webpack_require__(801).pagination;
+ var model = __webpack_require__(801);
+ model.paginators = __webpack_require__(802).pagination;
return model;
},
enumerable: true,
@@ -51233,19 +51244,19 @@ return /******/ (function(modules) { // webpackBootstrap
/***/ }),
-/* 800 */
+/* 801 */
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AWS.IoTSecureTunneling = Service.defineService('iotsecuretunneling', ['2018-10-05']);
Object.defineProperty(apiLoader.services['iotsecuretunneling'], '2018-10-05', {
get: function get() {
- var model = __webpack_require__(803);
- model.paginators = __webpack_require__(804).pagination;
+ var model = __webpack_require__(804);
+ model.paginators = __webpack_require__(805).pagination;
return model;
},
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/***/ }),
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+/* 804 */
/***/ (function(module, exports) {
module.exports = {"version":"2.0","metadata":{"apiVersion":"2018-10-05","endpointPrefix":"api.tunneling.iot","jsonVersion":"1.1","protocol":"json","serviceFullName":"AWS IoT Secure Tunneling","serviceId":"IoTSecureTunneling","signatureVersion":"v4","signingName":"IoTSecuredTunneling","targetPrefix":"IoTSecuredTunneling","uid":"iotsecuretunneling-2018-10-05"},"operations":{"CloseTunnel":{"input":{"type":"structure","required":["tunnelId"],"members":{"tunnelId":{},"delete":{"type":"boolean"}}},"output":{"type":"structure","members":{}}},"DescribeTunnel":{"input":{"type":"structure","required":["tunnelId"],"members":{"tunnelId":{}}},"output":{"type":"structure","members":{"tunnel":{"type":"structure","members":{"tunnelId":{},"tunnelArn":{},"status":{},"sourceConnectionState":{"shape":"Sa"},"destinationConnectionState":{"shape":"Sa"},"description":{},"destinationConfig":{"shape":"Se"},"timeoutConfig":{"shape":"Si"},"tags":{"shape":"Sk"},"createdAt":{"type":"timestamp"},"lastUpdatedAt":{"type":"timestamp"}}}}}},"ListTagsForResource":{"input":{"type":"structure","required":["resourceArn"],"members":{"resourceArn":{}}},"output":{"type":"structure","members":{"tags":{"shape":"Sk"}}}},"ListTunnels":{"input":{"type":"structure","members":{"thingName":{},"maxResults":{"type":"integer"},"nextToken":{}}},"output":{"type":"structure","members":{"tunnelSummaries":{"type":"list","member":{"type":"structure","members":{"tunnelId":{},"tunnelArn":{},"status":{},"description":{},"createdAt":{"type":"timestamp"},"lastUpdatedAt":{"type":"timestamp"}}}},"nextToken":{}}}},"OpenTunnel":{"input":{"type":"structure","members":{"description":{},"tags":{"shape":"Sk"},"destinationConfig":{"shape":"Se"},"timeoutConfig":{"shape":"Si"}}},"output":{"type":"structure","members":{"tunnelId":{},"tunnelArn":{},"sourceAccessToken":{"shape":"Sz"},"destinationAccessToken":{"shape":"Sz"}}}},"TagResource":{"input":{"type":"structure","required":["resourceArn","tags"],"members":{"resourceArn":{},"tags":{"shape":"Sk"}}},"output":{"type":"structure","members":{}}},"UntagResource":{"input":{"type":"structure","required":["resourceArn","tagKeys"],"members":{"resourceArn":{},"tagKeys":{"type":"list","member":{}}}},"output":{"type":"structure","members":{}}}},"shapes":{"Sa":{"type":"structure","members":{"status":{},"lastUpdatedAt":{"type":"timestamp"}}},"Se":{"type":"structure","required":["thingName","services"],"members":{"thingName":{},"services":{"type":"list","member":{}}}},"Si":{"type":"structure","members":{"maxLifetimeTimeoutMinutes":{"type":"integer"}}},"Sk":{"type":"list","member":{"type":"structure","required":["key","value"],"members":{"key":{},"value":{}}}},"Sz":{"type":"string","sensitive":true}}}
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/***/ (function(module, exports) {
module.exports = {"pagination":{"ListTunnels":{"input_token":"nextToken","output_token":"nextToken","limit_key":"maxResults"}}}
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/***/ (function(module, exports, __webpack_require__) {
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@@ -51293,8 +51304,8 @@ return /******/ (function(modules) { // webpackBootstrap
AWS.WAFV2 = Service.defineService('wafv2', ['2019-07-29']);
Object.defineProperty(apiLoader.services['wafv2'], '2019-07-29', {
get: function get() {
- var model = __webpack_require__(806);
- model.paginators = __webpack_require__(807).pagination;
+ var model = __webpack_require__(807);
+ model.paginators = __webpack_require__(808).pagination;
return model;
},
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@@ -51305,19 +51316,19 @@ return /******/ (function(modules) { // webpackBootstrap
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+/* 807 */
/***/ (function(module, exports) {
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/***/ }),
-/* 816 */
+/* 817 */
/***/ (function(module, exports) {
module.exports = {"pagination":{"ListDiscoverers":{"input_token":"NextToken","output_token":"NextToken","limit_key":"Limit","result_key":"Discoverers"},"ListRegistries":{"input_token":"NextToken","output_token":"NextToken","limit_key":"Limit","result_key":"Registries"},"ListSchemaVersions":{"input_token":"NextToken","output_token":"NextToken","limit_key":"Limit","result_key":"SchemaVersions"},"ListSchemas":{"input_token":"NextToken","output_token":"NextToken","limit_key":"Limit","result_key":"Schemas"},"SearchSchemas":{"input_token":"NextToken","output_token":"NextToken","limit_key":"Limit","result_key":"Schemas"}}}
/***/ }),
-/* 817 */
+/* 818 */
/***/ (function(module, exports) {
module.exports = {"version":2,"waiters":{"CodeBindingExists":{"description":"Wait until code binding is generated","delay":2,"operation":"DescribeCodeBinding","maxAttempts":30,"acceptors":[{"expected":"CREATE_COMPLETE","matcher":"path","state":"success","argument":"Status"},{"expected":"CREATE_IN_PROGRESS","matcher":"path","state":"retry","argument":"Status"},{"expected":"CREATE_FAILED","matcher":"path","state":"failure","argument":"Status"},{"matcher":"error","expected":"NotFoundException","state":"failure"}]}}}
/***/ }),
-/* 818 */
+/* 819 */
/***/ (function(module, exports, __webpack_require__) {
__webpack_require__(2);
@@ -51444,8 +51455,8 @@ return /******/ (function(modules) { // webpackBootstrap
AWS.AccessAnalyzer = Service.defineService('accessanalyzer', ['2019-11-01']);
Object.defineProperty(apiLoader.services['accessanalyzer'], '2019-11-01', {
get: function get() {
- var model = __webpack_require__(819);
- model.paginators = __webpack_require__(820).pagination;
+ var model = __webpack_require__(820);
+ model.paginators = __webpack_require__(821).pagination;
return model;
},
enumerable: true,
@@ -51456,19 +51467,19 @@ return /******/ (function(modules) { // webpackBootstrap
/***/ }),
-/* 819 */
+/* 820 */
/***/ (function(module, exports) {
module.exports = {"version":"2.0","metadata":{"apiVersion":"2019-11-01","endpointPrefix":"access-analyzer","jsonVersion":"1.1","protocol":"rest-json","serviceFullName":"Access 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/***/ }),
-/* 820 */
+/* 821 */
/***/ (function(module, exports) {
module.exports = {"pagination":{"ListAnalyzedResources":{"input_token":"nextToken","output_token":"nextToken","limit_key":"maxResults"},"ListAnalyzers":{"input_token":"nextToken","output_token":"nextToken","limit_key":"maxResults"},"ListArchiveRules":{"input_token":"nextToken","output_token":"nextToken","limit_key":"maxResults"},"ListFindings":{"input_token":"nextToken","output_token":"nextToken","limit_key":"maxResults"}}}
/***/ }),
-/* 821 */
+/* 822 */
/***/ (function(module, exports, __webpack_require__) {
__webpack_require__(2);
@@ -51480,8 +51491,8 @@ return /******/ (function(modules) { // webpackBootstrap
AWS.CodeGuruReviewer = Service.defineService('codegurureviewer', ['2019-09-19']);
Object.defineProperty(apiLoader.services['codegurureviewer'], '2019-09-19', {
get: function get() {
- var model = __webpack_require__(822);
- model.paginators = __webpack_require__(823).pagination;
+ var model = __webpack_require__(823);
+ model.paginators = __webpack_require__(824).pagination;
return model;
},
enumerable: true,
@@ -51492,19 +51503,19 @@ return /******/ (function(modules) { // webpackBootstrap
/***/ }),
-/* 822 */
+/* 823 */
/***/ (function(module, exports) {
module.exports = {"version":"2.0","metadata":{"apiVersion":"2019-09-19","endpointPrefix":"codeguru-reviewer","jsonVersion":"1.1","protocol":"rest-json","serviceAbbreviation":"CodeGuruReviewer","serviceFullName":"Amazon CodeGuru Reviewer","serviceId":"CodeGuru Reviewer","signatureVersion":"v4","signingName":"codeguru-reviewer","uid":"codeguru-reviewer-2019-09-19"},"operations":{"AssociateRepository":{"http":{"requestUri":"/associations"},"input":{"type":"structure","required":["Repository"],"members":{"Repository":{"type":"structure","members":{"CodeCommit":{"type":"structure","required":["Name"],"members":{"Name":{}}}}},"ClientRequestToken":{"idempotencyToken":true}}},"output":{"type":"structure","members":{"RepositoryAssociation":{"shape":"S7"}}}},"DescribeRepositoryAssociation":{"http":{"method":"GET","requestUri":"/associations/{AssociationArn}"},"input":{"type":"structure","required":["AssociationArn"],"members":{"AssociationArn":{"location":"uri","locationName":"AssociationArn"}}},"output":{"type":"structure","members":{"RepositoryAssociation":{"shape":"S7"}}}},"DisassociateRepository":{"http":{"method":"DELETE","requestUri":"/associations/{AssociationArn}"},"input":{"type":"structure","required":["AssociationArn"],"members":{"AssociationArn":{"location":"uri","locationName":"AssociationArn"}}},"output":{"type":"structure","members":{"RepositoryAssociation":{"shape":"S7"}}}},"ListRepositoryAssociations":{"http":{"method":"GET","requestUri":"/associations"},"input":{"type":"structure","members":{"ProviderTypes":{"location":"querystring","locationName":"ProviderType","type":"list","member":{}},"States":{"location":"querystring","locationName":"State","type":"list","member":{}},"Names":{"location":"querystring","locationName":"Name","type":"list","member":{}},"Owners":{"location":"querystring","locationName":"Owner","type":"list","member":{}},"MaxResults":{"location":"querystring","locationName":"MaxResults","type":"integer"},"NextToken":{"location":"querystring","locationName":"NextToken"}}},"output":{"type":"structure","members":{"RepositoryAssociationSummaries":{"type":"list","member":{"type":"structure","members":{"AssociationArn":{},"LastUpdatedTimeStamp":{"type":"timestamp"},"AssociationId":{},"Name":{},"Owner":{},"ProviderType":{},"State":{}}}},"NextToken":{}}}}},"shapes":{"S7":{"type":"structure","members":{"AssociationId":{},"AssociationArn":{},"Name":{},"Owner":{},"ProviderType":{},"State":{},"StateReason":{},"LastUpdatedTimeStamp":{"type":"timestamp"},"CreatedTimeStamp":{"type":"timestamp"}}}}}
/***/ }),
-/* 823 */
+/* 824 */
/***/ (function(module, exports) {
module.exports = {"pagination":{"ListRepositoryAssociations":{"input_token":"NextToken","output_token":"NextToken","limit_key":"MaxResults","result_key":"RepositoryAssociationSummaries"}}}
/***/ }),
-/* 824 */
+/* 825 */
/***/ (function(module, exports, __webpack_require__) {
__webpack_require__(2);
@@ -51516,8 +51527,8 @@ return /******/ (function(modules) { // webpackBootstrap
AWS.CodeGuruProfiler = Service.defineService('codeguruprofiler', ['2019-07-18']);
Object.defineProperty(apiLoader.services['codeguruprofiler'], '2019-07-18', {
get: function get() {
- var model = __webpack_require__(825);
- model.paginators = __webpack_require__(826).pagination;
+ var model = __webpack_require__(826);
+ model.paginators = __webpack_require__(827).pagination;
return model;
},
enumerable: true,
@@ -51528,19 +51539,19 @@ return /******/ (function(modules) { // webpackBootstrap
/***/ }),
-/* 825 */
+/* 826 */
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Object.defineProperty(apiLoader.services['computeoptimizer'], '2019-11-01', {
get: function get() {
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get: function get() {
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- model.paginators = __webpack_require__(832).pagination;
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-/* 835 */
+/* 836 */
/***/ (function(module, exports) {
module.exports = {"pagination":{"ListDataSourceSyncJobs":{"input_token":"NextToken","output_token":"NextToken","limit_key":"MaxResults"},"ListDataSources":{"input_token":"NextToken","output_token":"NextToken","limit_key":"MaxResults"},"ListIndices":{"input_token":"NextToken","output_token":"NextToken","limit_key":"MaxResults"}}}
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-/* 836 */
+/* 837 */
/***/ (function(module, exports, __webpack_require__) {
__webpack_require__(2);
@@ -51660,8 +51671,8 @@ return /******/ (function(modules) { // webpackBootstrap
AWS.NetworkManager = Service.defineService('networkmanager', ['2019-07-05']);
Object.defineProperty(apiLoader.services['networkmanager'], '2019-07-05', {
get: function get() {
- var model = __webpack_require__(837);
- model.paginators = __webpack_require__(838).pagination;
+ var model = __webpack_require__(838);
+ model.paginators = __webpack_require__(839).pagination;
return model;
},
enumerable: true,
@@ -51672,19 +51683,19 @@ return /******/ (function(modules) { // webpackBootstrap
/***/ }),
-/* 837 */
+/* 838 */
/***/ (function(module, exports) {
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/***/ }),
-/* 838 */
+/* 839 */
/***/ (function(module, exports) {
module.exports = {"pagination":{"DescribeGlobalNetworks":{"input_token":"NextToken","output_token":"NextToken","limit_key":"MaxResults","result_key":"GlobalNetworks"},"GetCustomerGatewayAssociations":{"input_token":"NextToken","output_token":"NextToken","limit_key":"MaxResults","result_key":"CustomerGatewayAssociations"},"GetDevices":{"input_token":"NextToken","output_token":"NextToken","limit_key":"MaxResults","result_key":"Devices"},"GetLinkAssociations":{"input_token":"NextToken","output_token":"NextToken","limit_key":"MaxResults","result_key":"LinkAssociations"},"GetLinks":{"input_token":"NextToken","output_token":"NextToken","limit_key":"MaxResults","result_key":"Links"},"GetSites":{"input_token":"NextToken","output_token":"NextToken","limit_key":"MaxResults","result_key":"Sites"},"GetTransitGatewayRegistrations":{"input_token":"NextToken","output_token":"NextToken","limit_key":"MaxResults","result_key":"TransitGatewayRegistrations"}}}
/***/ }),
-/* 839 */
+/* 840 */
/***/ (function(module, exports, __webpack_require__) {
__webpack_require__(2);
@@ -51696,8 +51707,8 @@ return /******/ (function(modules) { // webpackBootstrap
AWS.Outposts = Service.defineService('outposts', ['2019-12-03']);
Object.defineProperty(apiLoader.services['outposts'], '2019-12-03', {
get: function get() {
- var model = __webpack_require__(840);
- model.paginators = __webpack_require__(841).pagination;
+ var model = __webpack_require__(841);
+ model.paginators = __webpack_require__(842).pagination;
return model;
},
enumerable: true,
@@ -51708,19 +51719,19 @@ return /******/ (function(modules) { // webpackBootstrap
/***/ }),
-/* 840 */
+/* 841 */
/***/ (function(module, exports) {
module.exports = {"version":"2.0","metadata":{"apiVersion":"2019-12-03","endpointPrefix":"outposts","jsonVersion":"1.1","protocol":"rest-json","serviceAbbreviation":"Outposts","serviceFullName":"AWS Outposts","serviceId":"Outposts","signatureVersion":"v4","signingName":"outposts","uid":"outposts-2019-12-03"},"operations":{"CreateOutpost":{"http":{"requestUri":"/outposts"},"input":{"type":"structure","required":["SiteId"],"members":{"Name":{},"Description":{},"SiteId":{},"AvailabilityZone":{},"AvailabilityZoneId":{}}},"output":{"type":"structure","members":{"Outpost":{"shape":"S8"}}}},"GetOutpost":{"http":{"method":"GET","requestUri":"/outposts/{OutpostId}"},"input":{"type":"structure","required":["OutpostId"],"members":{"OutpostId":{"location":"uri","locationName":"OutpostId"}}},"output":{"type":"structure","members":{"Outpost":{"shape":"S8"}}}},"GetOutpostInstanceTypes":{"http":{"method":"GET","requestUri":"/outposts/{OutpostId}/instanceTypes"},"input":{"type":"structure","required":["OutpostId"],"members":{"OutpostId":{"location":"uri","locationName":"OutpostId"},"NextToken":{"location":"querystring","locationName":"NextToken"},"MaxResults":{"location":"querystring","locationName":"MaxResults","type":"integer"}}},"output":{"type":"structure","members":{"InstanceTypes":{"type":"list","member":{"type":"structure","members":{"InstanceType":{}}}},"NextToken":{},"OutpostId":{},"OutpostArn":{}}}},"ListOutposts":{"http":{"method":"GET","requestUri":"/outposts"},"input":{"type":"structure","members":{"NextToken":{"location":"querystring","locationName":"NextToken"},"MaxResults":{"location":"querystring","locationName":"MaxResults","type":"integer"}}},"output":{"type":"structure","members":{"Outposts":{"type":"list","member":{"shape":"S8"}},"NextToken":{}}}},"ListSites":{"http":{"method":"GET","requestUri":"/sites"},"input":{"type":"structure","members":{"NextToken":{"location":"querystring","locationName":"NextToken"},"MaxResults":{"location":"querystring","locationName":"MaxResults","type":"integer"}}},"output":{"type":"structure","members":{"Sites":{"type":"list","member":{"type":"structure","members":{"SiteId":{},"AccountId":{},"Name":{},"Description":{}}}},"NextToken":{}}}}},"shapes":{"S8":{"type":"structure","members":{"OutpostId":{},"OwnerId":{},"OutpostArn":{},"SiteId":{},"Name":{},"Description":{},"LifeCycleStatus":{},"AvailabilityZone":{},"AvailabilityZoneId":{}}}}}
/***/ }),
-/* 841 */
+/* 842 */
/***/ (function(module, exports) {
module.exports = {"pagination":{"ListOutposts":{"input_token":"NextToken","output_token":"NextToken","limit_key":"MaxResults"},"ListSites":{"input_token":"NextToken","output_token":"NextToken","limit_key":"MaxResults"}}}
/***/ }),
-/* 842 */
+/* 843 */
/***/ (function(module, exports, __webpack_require__) {
__webpack_require__(2);
@@ -51732,8 +51743,8 @@ return /******/ (function(modules) { // webpackBootstrap
AWS.AugmentedAIRuntime = Service.defineService('augmentedairuntime', ['2019-11-07']);
Object.defineProperty(apiLoader.services['augmentedairuntime'], '2019-11-07', {
get: function get() {
- var model = __webpack_require__(843);
- model.paginators = __webpack_require__(844).pagination;
+ var model = __webpack_require__(844);
+ model.paginators = __webpack_require__(845).pagination;
return model;
},
enumerable: true,
@@ -51744,17 +51755,53 @@ return /******/ (function(modules) { // webpackBootstrap
/***/ }),
-/* 843 */
+/* 844 */
/***/ (function(module, exports) {
module.exports = {"version":"2.0","metadata":{"apiVersion":"2019-11-07","endpointPrefix":"a2i-runtime.sagemaker","jsonVersion":"1.1","protocol":"rest-json","serviceFullName":"Amazon Augmented AI Runtime","serviceId":"SageMaker A2I Runtime","signatureVersion":"v4","signingName":"sagemaker","uid":"sagemaker-a2i-runtime-2019-11-07"},"operations":{"DeleteHumanLoop":{"http":{"method":"DELETE","requestUri":"/human-loops/{HumanLoopName}"},"input":{"type":"structure","required":["HumanLoopName"],"members":{"HumanLoopName":{"location":"uri","locationName":"HumanLoopName"}}},"output":{"type":"structure","members":{}}},"DescribeHumanLoop":{"http":{"method":"GET","requestUri":"/human-loops/{HumanLoopName}"},"input":{"type":"structure","required":["HumanLoopName"],"members":{"HumanLoopName":{"location":"uri","locationName":"HumanLoopName"}}},"output":{"type":"structure","required":["CreationTimestamp","HumanLoopStatus","HumanLoopName","HumanLoopArn","FlowDefinitionArn","HumanLoopInput"],"members":{"CreationTimestamp":{"type":"timestamp"},"FailureReason":{},"FailureCode":{},"HumanLoopStatus":{},"HumanLoopName":{},"HumanLoopArn":{},"FlowDefinitionArn":{},"HumanLoopInput":{"shape":"Sb"},"HumanLoopOutput":{"type":"structure","required":["OutputS3Uri"],"members":{"OutputS3Uri":{}}}}}},"ListHumanLoops":{"http":{"method":"GET","requestUri":"/human-loops"},"input":{"type":"structure","members":{"CreationTimeAfter":{"location":"querystring","locationName":"CreationTimeAfter","type":"timestamp"},"CreationTimeBefore":{"location":"querystring","locationName":"CreationTimeBefore","type":"timestamp"},"SortOrder":{"location":"querystring","locationName":"SortOrder"},"NextToken":{"location":"querystring","locationName":"NextToken"},"MaxResults":{"location":"querystring","locationName":"MaxResults","type":"integer"}}},"output":{"type":"structure","required":["HumanLoopSummaries"],"members":{"HumanLoopSummaries":{"type":"list","member":{"type":"structure","members":{"HumanLoopName":{},"HumanLoopStatus":{},"CreationTime":{"type":"timestamp"},"FailureReason":{},"FlowDefinitionArn":{}}}},"NextToken":{}}}},"StartHumanLoop":{"http":{"requestUri":"/human-loops"},"input":{"type":"structure","required":["HumanLoopName","FlowDefinitionArn","HumanLoopInput"],"members":{"HumanLoopName":{},"FlowDefinitionArn":{},"HumanLoopInput":{"shape":"Sb"},"DataAttributes":{"type":"structure","required":["ContentClassifiers"],"members":{"ContentClassifiers":{"type":"list","member":{}}}}}},"output":{"type":"structure","members":{"HumanLoopArn":{},"HumanLoopActivationResults":{"type":"structure","members":{"HumanLoopActivationReason":{"type":"structure","members":{"ConditionsMatched":{"type":"boolean"}}},"HumanLoopActivationConditionsEvaluationResults":{}}}}}},"StopHumanLoop":{"http":{"requestUri":"/human-loops/stop"},"input":{"type":"structure","required":["HumanLoopName"],"members":{"HumanLoopName":{}}},"output":{"type":"structure","members":{}}}},"shapes":{"Sb":{"type":"structure","required":["InputContent"],"members":{"InputContent":{}}}}}
/***/ }),
-/* 844 */
+/* 845 */
/***/ (function(module, exports) {
module.exports = {"pagination":{"ListHumanLoops":{"input_token":"NextToken","output_token":"NextToken","limit_key":"MaxResults","result_key":"HumanLoopSummaries"}}}
+/***/ }),
+/* 846 */
+/***/ (function(module, exports, __webpack_require__) {
+
+ __webpack_require__(2);
+ var AWS = __webpack_require__(4);
+ var Service = AWS.Service;
+ var apiLoader = AWS.apiLoader;
+
+ apiLoader.services['ebs'] = {};
+ AWS.EBS = Service.defineService('ebs', ['2019-11-02']);
+ Object.defineProperty(apiLoader.services['ebs'], '2019-11-02', {
+ get: function get() {
+ var model = __webpack_require__(847);
+ model.paginators = __webpack_require__(848).pagination;
+ return model;
+ },
+ enumerable: true,
+ configurable: true
+ });
+
+ module.exports = AWS.EBS;
+
+
+/***/ }),
+/* 847 */
+/***/ (function(module, exports) {
+
+ module.exports = {"version":"2.0","metadata":{"apiVersion":"2019-11-02","endpointPrefix":"ebs","jsonVersion":"1.1","protocol":"rest-json","serviceAbbreviation":"Amazon EBS","serviceFullName":"Amazon Elastic Block Store","serviceId":"EBS","signatureVersion":"v4","uid":"ebs-2019-11-02"},"operations":{"GetSnapshotBlock":{"http":{"method":"GET","requestUri":"/snapshots/{snapshotId}/blocks/{blockIndex}"},"input":{"type":"structure","required":["SnapshotId","BlockIndex","BlockToken"],"members":{"SnapshotId":{"location":"uri","locationName":"snapshotId"},"BlockIndex":{"location":"uri","locationName":"blockIndex","type":"integer"},"BlockToken":{"location":"querystring","locationName":"blockToken"}}},"output":{"type":"structure","members":{"DataLength":{"location":"header","locationName":"x-amz-Data-Length","type":"integer"},"BlockData":{"type":"blob","sensitive":true,"streaming":true},"Checksum":{"location":"header","locationName":"x-amz-Checksum"},"ChecksumAlgorithm":{"location":"header","locationName":"x-amz-Checksum-Algorithm"}},"payload":"BlockData"}},"ListChangedBlocks":{"http":{"method":"GET","requestUri":"/snapshots/{secondSnapshotId}/changedblocks"},"input":{"type":"structure","required":["SecondSnapshotId"],"members":{"FirstSnapshotId":{"location":"querystring","locationName":"firstSnapshotId"},"SecondSnapshotId":{"location":"uri","locationName":"secondSnapshotId"},"NextToken":{"location":"querystring","locationName":"pageToken"},"MaxResults":{"location":"querystring","locationName":"maxResults","type":"integer"},"StartingBlockIndex":{"location":"querystring","locationName":"startingBlockIndex","type":"integer"}}},"output":{"type":"structure","members":{"ChangedBlocks":{"type":"list","member":{"type":"structure","members":{"BlockIndex":{"type":"integer"},"FirstBlockToken":{},"SecondBlockToken":{}},"sensitive":true}},"ExpiryTime":{"type":"timestamp"},"VolumeSize":{"type":"long"},"BlockSize":{"type":"integer"},"NextToken":{}}}},"ListSnapshotBlocks":{"http":{"method":"GET","requestUri":"/snapshots/{snapshotId}/blocks"},"input":{"type":"structure","required":["SnapshotId"],"members":{"SnapshotId":{"location":"uri","locationName":"snapshotId"},"NextToken":{"location":"querystring","locationName":"pageToken"},"MaxResults":{"location":"querystring","locationName":"maxResults","type":"integer"},"StartingBlockIndex":{"location":"querystring","locationName":"startingBlockIndex","type":"integer"}}},"output":{"type":"structure","members":{"Blocks":{"type":"list","member":{"type":"structure","members":{"BlockIndex":{"type":"integer"},"BlockToken":{}}},"sensitive":true},"ExpiryTime":{"type":"timestamp"},"VolumeSize":{"type":"long"},"BlockSize":{"type":"integer"},"NextToken":{}}}}},"shapes":{}}
+
+/***/ }),
+/* 848 */
+/***/ (function(module, exports) {
+
+ module.exports = {"pagination":{"ListChangedBlocks":{"input_token":"NextToken","output_token":"NextToken","limit_key":"MaxResults"},"ListSnapshotBlocks":{"input_token":"NextToken","output_token":"NextToken","limit_key":"MaxResults"}}}
+
/***/ })
/******/ ])
});
diff --git a/dist/aws-sdk.js b/dist/aws-sdk.js
index 52d0ecae9e..ccc58f5823 100644
--- a/dist/aws-sdk.js
+++ b/dist/aws-sdk.js
@@ -1,4 +1,4 @@
-// AWS SDK for JavaScript v2.583.0
+// AWS SDK for JavaScript v2.584.0
// Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved.
// License at https://sdk.amazonaws.com/js/BUNDLE_LICENSE.txt
(function(){function r(e,n,t){function o(i,f){if(!n[i]){if(!e[i]){var c="function"==typeof require&&require;if(!f&&c)return c(i,!0);if(u)return u(i,!0);var a=new Error("Cannot find module '"+i+"'");throw a.code="MODULE_NOT_FOUND",a}var p=n[i]={exports:{}};e[i][0].call(p.exports,function(r){var n=e[i][1][r];return o(n||r)},p,p.exports,r,e,n,t)}return n[i].exports}for(var u="function"==typeof require&&require,i=0;i `0`",state:"success"}]}}}},{}],153:[function(e,t,r){t.exports={version:"2.0",metadata:{apiVersion:"2017-01-17",endpointPrefix:"mturk-requester",jsonVersion:"1.1",protocol:"json",serviceAbbreviation:"Amazon MTurk",serviceFullName:"Amazon Mechanical Turk",serviceId:"MTurk",signatureVersion:"v4",targetPrefix:"MTurkRequesterServiceV20170117",uid:"mturk-requester-2017-01-17"},operations:{AcceptQualificationRequest:{input:{type:"structure",required:["QualificationRequestId"],members:{QualificationRequestId:{},IntegerValue:{type:"integer"}}},output:{type:"structure",members:{}}},ApproveAssignment:{input:{type:"structure",required:["AssignmentId"],members:{AssignmentId:{},RequesterFeedback:{},OverrideRejection:{type:"boolean"}}},output:{type:"structure",members:{}},idempotent:!0},AssociateQualificationWithWorker:{input:{type:"structure",required:["QualificationTypeId","WorkerId"],members:{QualificationTypeId:{},WorkerId:{},IntegerValue:{type:"integer"},SendNotification:{type:"boolean"}}},output:{type:"structure",members:{}}},CreateAdditionalAssignmentsForHIT:{input:{type:"structure",required:["HITId","NumberOfAdditionalAssignments"],members:{HITId:{},NumberOfAdditionalAssignments:{type:"integer"},UniqueRequestToken:{}}},output:{type:"structure",members:{}}},CreateHIT:{input:{type:"structure",required:["LifetimeInSeconds","AssignmentDurationInSeconds","Reward","Title","Description"],members:{MaxAssignments:{type:"integer"},AutoApprovalDelayInSeconds:{type:"long"},LifetimeInSeconds:{type:"long"},AssignmentDurationInSeconds:{type:"long"},Reward:{},Title:{},Keywords:{},Description:{},Question:{},RequesterAnnotation:{},QualificationRequirements:{shape:"Si"},UniqueRequestToken:{},AssignmentReviewPolicy:{shape:"Sq"},HITReviewPolicy:{shape:"Sq"},HITLayoutId:{},HITLayoutParameters:{shape:"Sw"}}},output:{type:"structure",members:{HIT:{shape:"Sz"}}}},CreateHITType:{input:{type:"structure",required:["AssignmentDurationInSeconds","Reward","Title","Description"],members:{AutoApprovalDelayInSeconds:{type:"long"},AssignmentDurationInSeconds:{type:"long"},Reward:{},Title:{},Keywords:{},Description:{},QualificationRequirements:{shape:"Si"}}},output:{type:"structure",members:{HITTypeId:{}}},idempotent:!0},CreateHITWithHITType:{input:{type:"structure",required:["HITTypeId","LifetimeInSeconds"],members:{HITTypeId:{},MaxAssignments:{type:"integer"},LifetimeInSeconds:{type:"long"},Question:{},RequesterAnnotation:{},UniqueRequestToken:{},AssignmentReviewPolicy:{shape:"Sq"},HITReviewPolicy:{shape:"Sq"},HITLayoutId:{},HITLayoutParameters:{shape:"Sw"}}},output:{type:"structure",members:{HIT:{shape:"Sz"}}}},CreateQualificationType:{input:{type:"structure",required:["Name","Description","QualificationTypeStatus"],members:{Name:{},Keywords:{},Description:{},QualificationTypeStatus:{},RetryDelayInSeconds:{type:"long"},Test:{},AnswerKey:{},TestDurationInSeconds:{type:"long"},AutoGranted:{type:"boolean"},AutoGrantedValue:{type:"integer"}}},output:{type:"structure",members:{QualificationType:{shape:"S1a"}}}},CreateWorkerBlock:{input:{type:"structure",required:["WorkerId","Reason"],members:{WorkerId:{},Reason:{}}},output:{type:"structure",members:{}}},DeleteHIT:{input:{type:"structure",required:["HITId"],members:{HITId:{}}},output:{type:"structure",members:{}},idempotent:!0},DeleteQualificationType:{input:{type:"structure",required:["QualificationTypeId"],members:{QualificationTypeId:{}}},output:{type:"structure",members:{}},idempotent:!0},DeleteWorkerBlock:{input:{type:"structure",required:["WorkerId"],members:{WorkerId:{},Reason:{}}},output:{type:"structure",members:{}},idempotent:!0},DisassociateQualificationFromWorker:{input:{type:"structure",required:["WorkerId","QualificationTypeId"],members:{WorkerId:{},QualificationTypeId:{},Reason:{}}},output:{type:"structure",members:{}}},GetAccountBalance:{input:{type:"structure",members:{}},output:{type:"structure",members:{AvailableBalance:{},OnHoldBalance:{}}},idempotent:!0},GetAssignment:{input:{type:"structure",required:["AssignmentId"],members:{AssignmentId:{}}},output:{type:"structure",members:{Assignment:{shape:"S1p"},HIT:{shape:"Sz"}}},idempotent:!0},GetFileUploadURL:{input:{type:"structure",required:["AssignmentId","QuestionIdentifier"],members:{AssignmentId:{},QuestionIdentifier:{}}},output:{type:"structure",members:{FileUploadURL:{}}},idempotent:!0},GetHIT:{input:{type:"structure",required:["HITId"],members:{HITId:{}}},output:{type:"structure",members:{HIT:{shape:"Sz"}}},idempotent:!0},GetQualificationScore:{input:{type:"structure",required:["QualificationTypeId","WorkerId"],members:{QualificationTypeId:{},WorkerId:{}}},output:{type:"structure",members:{Qualification:{shape:"S1x"}}},idempotent:!0},GetQualificationType:{input:{type:"structure",required:["QualificationTypeId"],members:{QualificationTypeId:{}}},output:{type:"structure",members:{QualificationType:{shape:"S1a"}}},idempotent:!0},ListAssignmentsForHIT:{input:{type:"structure",required:["HITId"],members:{HITId:{},NextToken:{},MaxResults:{type:"integer"},AssignmentStatuses:{type:"list",member:{}}}},output:{type:"structure",members:{NextToken:{},NumResults:{type:"integer"},Assignments:{type:"list",member:{shape:"S1p"}}}},idempotent:!0},ListBonusPayments:{input:{type:"structure",members:{HITId:{},AssignmentId:{},NextToken:{},MaxResults:{type:"integer"}}},output:{type:"structure",members:{NumResults:{type:"integer"},NextToken:{},BonusPayments:{type:"list",member:{type:"structure",members:{WorkerId:{},BonusAmount:{},AssignmentId:{},Reason:{},GrantTime:{type:"timestamp"}}}}}},idempotent:!0},ListHITs:{input:{type:"structure",members:{NextToken:{},MaxResults:{type:"integer"}}},output:{type:"structure",members:{NextToken:{},NumResults:{type:"integer"},HITs:{shape:"S2d"}}},idempotent:!0},ListHITsForQualificationType:{input:{type:"structure",required:["QualificationTypeId"],members:{QualificationTypeId:{},NextToken:{},MaxResults:{type:"integer"}}},output:{type:"structure",members:{NextToken:{},NumResults:{type:"integer"},HITs:{shape:"S2d"}}},idempotent:!0},ListQualificationRequests:{input:{type:"structure",members:{QualificationTypeId:{},NextToken:{},MaxResults:{type:"integer"}}},output:{type:"structure",members:{NumResults:{type:"integer"},NextToken:{},QualificationRequests:{type:"list",member:{type:"structure",members:{QualificationRequestId:{},QualificationTypeId:{},WorkerId:{},Test:{},Answer:{},SubmitTime:{type:"timestamp"}}}}}},idempotent:!0},ListQualificationTypes:{input:{type:"structure",required:["MustBeRequestable"],members:{Query:{},MustBeRequestable:{type:"boolean"},MustBeOwnedByCaller:{type:"boolean"},NextToken:{},MaxResults:{type:"integer"}}},output:{type:"structure",members:{NumResults:{type:"integer"},NextToken:{},QualificationTypes:{type:"list",member:{shape:"S1a"}}}},idempotent:!0},ListReviewPolicyResultsForHIT:{input:{type:"structure",required:["HITId"],members:{HITId:{},PolicyLevels:{type:"list",member:{}},RetrieveActions:{type:"boolean"},RetrieveResults:{type:"boolean"},NextToken:{},MaxResults:{type:"integer"}}},output:{type:"structure",members:{HITId:{},AssignmentReviewPolicy:{shape:"Sq"},HITReviewPolicy:{shape:"Sq"},AssignmentReviewReport:{shape:"S2r"},HITReviewReport:{shape:"S2r"},NextToken:{}}},idempotent:!0},ListReviewableHITs:{input:{type:"structure",members:{HITTypeId:{},Status:{},NextToken:{},MaxResults:{type:"integer"}}},output:{type:"structure",members:{NextToken:{},NumResults:{type:"integer"},HITs:{shape:"S2d"}}},idempotent:!0},ListWorkerBlocks:{input:{type:"structure",members:{NextToken:{},MaxResults:{type:"integer"}}},output:{type:"structure",members:{NextToken:{},NumResults:{type:"integer"},WorkerBlocks:{type:"list",member:{type:"structure",members:{WorkerId:{},Reason:{}}}}}},idempotent:!0},ListWorkersWithQualificationType:{input:{type:"structure",required:["QualificationTypeId"],members:{QualificationTypeId:{},Status:{},NextToken:{},MaxResults:{type:"integer"}}},output:{type:"structure",members:{NextToken:{},NumResults:{type:"integer"},Qualifications:{type:"list",member:{shape:"S1x"}}}},idempotent:!0},NotifyWorkers:{input:{type:"structure",required:["Subject","MessageText","WorkerIds"],members:{Subject:{},MessageText:{},WorkerIds:{type:"list",member:{}}}},output:{type:"structure",members:{NotifyWorkersFailureStatuses:{type:"list",member:{type:"structure",members:{NotifyWorkersFailureCode:{},NotifyWorkersFailureMessage:{},WorkerId:{}}}}}}},RejectAssignment:{input:{type:"structure",required:["AssignmentId","RequesterFeedback"],members:{AssignmentId:{},RequesterFeedback:{}}},output:{type:"structure",members:{}},idempotent:!0},RejectQualificationRequest:{input:{type:"structure",required:["QualificationRequestId"],members:{QualificationRequestId:{},Reason:{}}},output:{type:"structure",members:{}}},SendBonus:{input:{type:"structure",required:["WorkerId","BonusAmount","AssignmentId","Reason"],members:{WorkerId:{},BonusAmount:{},AssignmentId:{},Reason:{},UniqueRequestToken:{}}},output:{type:"structure",members:{}}},SendTestEventNotification:{input:{type:"structure",required:["Notification","TestEventType"],members:{Notification:{shape:"S3k"},TestEventType:{}}},output:{type:"structure",members:{}}},UpdateExpirationForHIT:{input:{type:"structure",required:["HITId","ExpireAt"],members:{HITId:{},ExpireAt:{type:"timestamp"}}},output:{type:"structure",members:{}},idempotent:!0},UpdateHITReviewStatus:{input:{type:"structure",required:["HITId"],members:{HITId:{},Revert:{type:"boolean"}}},output:{type:"structure",members:{}},idempotent:!0},UpdateHITTypeOfHIT:{input:{type:"structure",required:["HITId","HITTypeId"],members:{HITId:{},HITTypeId:{}}},output:{type:"structure",members:{}},idempotent:!0},UpdateNotificationSettings:{input:{type:"structure",required:["HITTypeId"],members:{HITTypeId:{},Notification:{shape:"S3k"},Active:{type:"boolean"}}},output:{type:"structure",members:{}},idempotent:!0},UpdateQualificationType:{input:{type:"structure",required:["QualificationTypeId"],members:{QualificationTypeId:{},Description:{},QualificationTypeStatus:{},Test:{},AnswerKey:{},TestDurationInSeconds:{type:"long"},RetryDelayInSeconds:{type:"long"},AutoGranted:{type:"boolean"},AutoGrantedValue:{type:"integer"}}},output:{type:"structure",members:{QualificationType:{shape:"S1a"}}}}},shapes:{Si:{type:"list",member:{type:"structure",required:["QualificationTypeId","Comparator"],members:{QualificationTypeId:{},Comparator:{},IntegerValues:{type:"list",member:{type:"integer"}},LocaleValues:{type:"list",member:{shape:"Sn"}},RequiredToPreview:{deprecated:!0,type:"boolean"},ActionsGuarded:{}}}},Sn:{type:"structure",required:["Country"],members:{Country:{},Subdivision:{}}},Sq:{type:"structure",required:["PolicyName"],members:{PolicyName:{},Parameters:{type:"list",member:{type:"structure",members:{Key:{},Values:{shape:"St"},MapEntries:{type:"list",member:{type:"structure",members:{Key:{},Values:{shape:"St"}}}}}}}}},St:{type:"list",member:{}},Sw:{type:"list",member:{type:"structure",required:["Name","Value"],members:{Name:{},Value:{}}}},Sz:{type:"structure",members:{HITId:{},HITTypeId:{},HITGroupId:{},HITLayoutId:{},CreationTime:{type:"timestamp"},Title:{},Description:{},Question:{},Keywords:{},HITStatus:{},MaxAssignments:{type:"integer"},Reward:{},AutoApprovalDelayInSeconds:{type:"long"},Expiration:{type:"timestamp"},AssignmentDurationInSeconds:{type:"long"},RequesterAnnotation:{},QualificationRequirements:{shape:"Si"},HITReviewStatus:{},NumberOfAssignmentsPending:{type:"integer"},NumberOfAssignmentsAvailable:{type:"integer"},NumberOfAssignmentsCompleted:{type:"integer"}}},S1a:{type:"structure",members:{QualificationTypeId:{},CreationTime:{type:"timestamp"},Name:{},Description:{},Keywords:{},QualificationTypeStatus:{},Test:{},TestDurationInSeconds:{type:"long"},AnswerKey:{},RetryDelayInSeconds:{type:"long"},IsRequestable:{type:"boolean"},AutoGranted:{type:"boolean"},AutoGrantedValue:{type:"integer"}}},S1p:{type:"structure",members:{AssignmentId:{},WorkerId:{},HITId:{},AssignmentStatus:{},AutoApprovalTime:{type:"timestamp"},AcceptTime:{type:"timestamp"},SubmitTime:{type:"timestamp"},ApprovalTime:{type:"timestamp"},RejectionTime:{type:"timestamp"},Deadline:{type:"timestamp"},Answer:{},RequesterFeedback:{}}},S1x:{type:"structure",members:{QualificationTypeId:{},WorkerId:{},GrantTime:{type:"timestamp"},IntegerValue:{type:"integer"},LocaleValue:{shape:"Sn"},Status:{}}},S2d:{type:"list",member:{shape:"Sz"}},S2r:{type:"structure",members:{ReviewResults:{type:"list",member:{type:"structure",members:{ActionId:{},SubjectId:{},SubjectType:{},QuestionId:{},Key:{},Value:{}}}},ReviewActions:{type:"list",member:{type:"structure",members:{ActionId:{},ActionName:{},TargetId:{},TargetType:{},Status:{},CompleteTime:{type:"timestamp"},Result:{},ErrorCode:{}}}}}},S3k:{type:"structure",required:["Destination","Transport","Version","EventTypes"],members:{Destination:{},Transport:{},Version:{},EventTypes:{type:"list",member:{}}}}}}},{}],154:[function(e,t,r){t.exports={pagination:{ListAssignmentsForHIT:{input_token:"NextToken",output_token:"NextToken",limit_key:"MaxResults"},ListBonusPayments:{input_token:"NextToken",output_token:"NextToken",limit_key:"MaxResults"},ListHITs:{input_token:"NextToken",output_token:"NextToken",limit_key:"MaxResults"},ListHITsForQualificationType:{input_token:"NextToken",output_token:"NextToken",limit_key:"MaxResults"},ListQualificationRequests:{input_token:"NextToken",output_token:"NextToken",limit_key:"MaxResults"},ListQualificationTypes:{input_token:"NextToken",output_token:"NextToken",limit_key:"MaxResults"},ListReviewPolicyResultsForHIT:{input_token:"NextToken",output_token:"NextToken",limit_key:"MaxResults"},ListReviewableHITs:{input_token:"NextToken",output_token:"NextToken",limit_key:"MaxResults"},ListWorkerBlocks:{input_token:"NextToken",output_token:"NextToken",limit_key:"MaxResults"},ListWorkersWithQualificationType:{input_token:"NextToken",output_token:"NextToken",limit_key:"MaxResults"}}}},{}],155:[function(e,t,r){t.exports={version:"2.0",metadata:{apiVersion:"2013-02-18",endpointPrefix:"opsworks",jsonVersion:"1.1",protocol:"json",serviceFullName:"AWS OpsWorks",serviceId:"OpsWorks",signatureVersion:"v4",targetPrefix:"OpsWorks_20130218",uid:"opsworks-2013-02-18"},operations:{AssignInstance:{input:{type:"structure",required:["InstanceId","LayerIds"],members:{InstanceId:{},LayerIds:{shape:"S3"}}}},AssignVolume:{input:{type:"structure",required:["VolumeId"],members:{VolumeId:{},InstanceId:{}}}},AssociateElasticIp:{input:{type:"structure",required:["ElasticIp"],members:{ElasticIp:{},InstanceId:{}}}},AttachElasticLoadBalancer:{input:{type:"structure",required:["ElasticLoadBalancerName","LayerId"],members:{ElasticLoadBalancerName:{},LayerId:{}}}},CloneStack:{input:{type:"structure",required:["SourceStackId","ServiceRoleArn"],members:{SourceStackId:{},Name:{},Region:{},VpcId:{},Attributes:{shape:"S8"},ServiceRoleArn:{},DefaultInstanceProfileArn:{},DefaultOs:{},HostnameTheme:{},DefaultAvailabilityZone:{},DefaultSubnetId:{},CustomJson:{},ConfigurationManager:{shape:"Sa"},ChefConfiguration:{shape:"Sb"},UseCustomCookbooks:{type:"boolean"},UseOpsworksSecurityGroups:{type:"boolean"},CustomCookbooksSource:{shape:"Sd"},DefaultSshKeyName:{},ClonePermissions:{type:"boolean"},CloneAppIds:{shape:"S3"},DefaultRootDeviceType:{},AgentVersion:{}}},output:{type:"structure",members:{StackId:{}}}},CreateApp:{input:{type:"structure",required:["StackId","Name","Type"],members:{StackId:{},Shortname:{},Name:{},Description:{},DataSources:{shape:"Si"},Type:{},AppSource:{shape:"Sd"},Domains:{shape:"S3"},EnableSsl:{type:"boolean"},SslConfiguration:{shape:"Sl"},Attributes:{shape:"Sm"},Environment:{shape:"So"}}},output:{type:"structure",members:{AppId:{}}}},CreateDeployment:{input:{type:"structure",required:["StackId","Command"],members:{StackId:{},AppId:{},InstanceIds:{shape:"S3"},LayerIds:{shape:"S3"},Command:{shape:"Ss"},Comment:{},CustomJson:{}}},output:{type:"structure",members:{DeploymentId:{}}}},CreateInstance:{input:{type:"structure",required:["StackId","LayerIds","InstanceType"],members:{StackId:{},LayerIds:{shape:"S3"},InstanceType:{},AutoScalingType:{},Hostname:{},Os:{},AmiId:{},SshKeyName:{},AvailabilityZone:{},VirtualizationType:{},SubnetId:{},Architecture:{},RootDeviceType:{},BlockDeviceMappings:{shape:"Sz"},InstallUpdatesOnBoot:{type:"boolean"},EbsOptimized:{type:"boolean"},AgentVersion:{},Tenancy:{}}},output:{type:"structure",members:{InstanceId:{}}}},CreateLayer:{input:{type:"structure",required:["StackId","Type","Name","Shortname"],members:{StackId:{},Type:{},Name:{},Shortname:{},Attributes:{shape:"S17"},CloudWatchLogsConfiguration:{shape:"S19"},CustomInstanceProfileArn:{},CustomJson:{},CustomSecurityGroupIds:{shape:"S3"},Packages:{shape:"S3"},VolumeConfigurations:{shape:"S1f"},EnableAutoHealing:{type:"boolean"},AutoAssignElasticIps:{type:"boolean"},AutoAssignPublicIps:{type:"boolean"},CustomRecipes:{shape:"S1h"},InstallUpdatesOnBoot:{type:"boolean"},UseEbsOptimizedInstances:{type:"boolean"},LifecycleEventConfiguration:{shape:"S1i"}}},output:{type:"structure",members:{LayerId:{}}}},CreateStack:{input:{type:"structure",required:["Name","Region","ServiceRoleArn","DefaultInstanceProfileArn"],members:{Name:{},Region:{},VpcId:{},Attributes:{shape:"S8"},ServiceRoleArn:{},DefaultInstanceProfileArn:{},DefaultOs:{},HostnameTheme:{},DefaultAvailabilityZone:{},DefaultSubnetId:{},CustomJson:{},ConfigurationManager:{shape:"Sa"},ChefConfiguration:{shape:"Sb"},UseCustomCookbooks:{type:"boolean"},UseOpsworksSecurityGroups:{type:"boolean"},CustomCookbooksSource:{shape:"Sd"},DefaultSshKeyName:{},DefaultRootDeviceType:{},AgentVersion:{}}},output:{type:"structure",members:{StackId:{}}}},CreateUserProfile:{input:{type:"structure",required:["IamUserArn"],members:{IamUserArn:{},SshUsername:{},SshPublicKey:{},AllowSelfManagement:{type:"boolean"}}},output:{type:"structure",members:{IamUserArn:{}}}},DeleteApp:{input:{type:"structure",required:["AppId"],members:{AppId:{}}}},DeleteInstance:{input:{type:"structure",required:["InstanceId"],members:{InstanceId:{},DeleteElasticIp:{type:"boolean"},DeleteVolumes:{type:"boolean"}}}},DeleteLayer:{input:{type:"structure",required:["LayerId"],members:{LayerId:{}}}},DeleteStack:{input:{type:"structure",required:["StackId"],members:{StackId:{}}}},DeleteUserProfile:{input:{type:"structure",required:["IamUserArn"],members:{IamUserArn:{}}}},DeregisterEcsCluster:{input:{type:"structure",required:["EcsClusterArn"],members:{EcsClusterArn:{}}}},DeregisterElasticIp:{input:{type:"structure",required:["ElasticIp"],members:{ElasticIp:{}}}},DeregisterInstance:{input:{type:"structure",required:["InstanceId"],members:{InstanceId:{}}}},DeregisterRdsDbInstance:{input:{type:"structure",required:["RdsDbInstanceArn"],members:{RdsDbInstanceArn:{}}}},DeregisterVolume:{input:{type:"structure",required:["VolumeId"],members:{VolumeId:{}}}},DescribeAgentVersions:{input:{type:"structure",members:{StackId:{},ConfigurationManager:{shape:"Sa"}}},output:{type:"structure",members:{AgentVersions:{type:"list",member:{type:"structure",members:{Version:{},ConfigurationManager:{shape:"Sa"}}}}}}},D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Hostname:{},PublicIp:{},PrivateIp:{},RsaPublicKey:{},RsaPublicKeyFingerprint:{},InstanceIdentity:{type:"structure",members:{Document:{},Signature:{}}}}},output:{type:"structure",members:{InstanceId:{}}}},RegisterRdsDbInstance:{input:{type:"structure",
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members:{SourceType:{},Filters:{shape:"S2b"}}},output:{resultWrapper:"DescribeEventCategoriesResult",type:"structure",members:{EventCategoriesMapList:{type:"list",member:{locationName:"EventCategoriesMap",type:"structure",members:{SourceType:{},EventCategories:{shape:"S6"}},wrapper:!0}}}}},DescribeEventSubscriptions:{input:{type:"structure",members:{SubscriptionName:{},Filters:{shape:"S2b"},MaxRecords:{type:"integer"},Marker:{}}},output:{resultWrapper:"DescribeEventSubscriptionsResult",type:"structure",members:{Marker:{},EventSubscriptionsList:{type:"list",member:{shape:"S4",locationName:"EventSubscription"}}}}},DescribeEvents:{input:{type:"structure",members:{SourceIdentifier:{},SourceType:{},StartTime:{type:"timestamp"},EndTime:{type:"timestamp"},Duration:{type:"integer"},EventCategories:{shape:"S6"},Filters:{shape:"S2b"},MaxRecords:{type:"integer"},Marker:{}}},output:{resultWrapper:"DescribeEventsResult",type:"structure",members:{Marker:{},Events:{type:"list",member:{locationName:"Event",type:"structure",members:{SourceIdentifier:{},SourceType:{},Message:{},EventCategories:{shape:"S6"},Date:{type:"timestamp"}}}}}}},DescribeOptionGroupOptions:{input:{type:"structure",required:["EngineName"],members:{EngineName:{},MajorEngineVersion:{},Filters:{shape:"S2b"},MaxRecords:{type:"integer"},Marker:{}}},output:{resultWrapper:"DescribeOptionGroupOptionsResult",type:"structure",members:{OptionGroupOptions:{type:"list",member:{locationName:"OptionGroupOption",type:"structure",members:{Name:{},Description:{},EngineName:{},MajorEngineVersion:{},MinimumRequiredMinorEngineVersion:{},PortRequired:{type:"boolean"},DefaultPort:{type:"integer"},OptionsDependedOn:{type:"list",member:{locationName:"OptionName"}},Persistent:{type:"boolean"},Permanent:{type:"boolean"},OptionGroupOptionSettings:{type:"list",member:{locationName:"OptionGroupOptionSetting",type:"structure",members:{SettingName:{},SettingDescription:{},DefaultValue:{},ApplyType:{},AllowedValues:{},IsModifiable:{type:"boolean"}}}}}}},Marker:{}}}},DescribeOptionGroups:{input:{type:"structure",members:{OptionGroupName:{},Filters:{shape:"S2b"},Marker:{},MaxRecords:{type:"integer"},EngineName:{},MajorEngineVersion:{}}},output:{resultWrapper:"DescribeOptionGroupsResult",type:"structure",members:{OptionGroupsList:{type:"list",member:{shape:"St",locationName:"OptionGroup"}},Marker:{}}}},DescribeOrderableDBInstanceOptions:{input:{type:"structure",required:["Engine"],members:{Engine:{},EngineVersion:{},DBInstanceClass:{},LicenseModel:{},Vpc:{type:"boolean"},Filters:{shape:"S2b"},MaxRecords:{type:"integer"},Marker:{}}},output:{resultWrapper:"DescribeOrderableDBInstanceOptionsResult",type:"structure",members:{OrderableDBInstanceOptions:{type:"list",member:{locationName:"OrderableDBInstanceOption",type:"structure",members:{Engine:{},EngineVersion:{},DBInstanceClass:{},LicenseModel:{},AvailabilityZones:{type:"list",member:{shape:"S1e",locationName:"AvailabilityZone"}},MultiAZCapable:{type:"boolean"},ReadReplicaCapable:{type:"boolean"},Vpc:{type:"boolean"},StorageType:{},SupportsIops:{type:"boolean"}},wrapper:!0}},Marker:{}}}},DescribeReservedDBInstances:{input:{type:"structure",members:{ReservedDBInstanceId:{},ReservedDBInstancesOfferingId:{},DBInstanceClass:{},Duration:{},ProductDescription:{},OfferingType:{},MultiAZ:{type:"boolean"},Filters:{shape:"S2b"},MaxRecords:{type:"integer"},Marker:{}}},output:{resultWrapper:"DescribeReservedDBInstancesResult",type:"structure",members:{Marker:{},ReservedDBInstances:{type:"list",member:{shape:"S45",locationName:"ReservedDBInstance"}}}}},DescribeReservedDBInstancesOfferings:{input:{type:"structure",members:{ReservedDBInstancesOfferingId:{},DBInstanceClass:{},Duration:{},ProductDescription:{},OfferingType:{},MultiAZ:{type:"boolean"},Filters:{shape:"S2b"},MaxRecords:{type:"integer"},Marker:{}}},output:{resultWrapper:"DescribeReservedDBInstancesOfferingsResult",type:"structure",members:{Marker:{},ReservedDBInstancesOfferings:{type:"list",member:{locationName:"ReservedDBInstancesOffering",type:"structure",members:{ReservedDBInstancesOfferingId:{},DBInstanceClass:{},Duration:{type:"integer"},FixedPrice:{type:"double"},UsagePrice:{type:"double"},CurrencyCode:{},ProductDescription:{},OfferingType:{},MultiAZ:{type:"boolean"},RecurringCharges:{shape:"S47"}},wrapper:!0}}}}},DownloadDBLogFilePortion:{input:{type:"structure",required:["DBInstanceIdentifier","LogFileName"],members:{DBInstanceIdentifier:{},LogFileName:{},Marker:{},NumberOfLines:{type:"integer"}}},output:{resultWrapper:"DownloadDBLogFilePortionResult",type:"structure",members:{LogFileData:{},Marker:{},AdditionalDataPending:{type:"boolean"}}}},ListTagsForResource:{input:{type:"structure",required:["ResourceName"],members:{ResourceName:{},Filters:{shape:"S2b"}}},output:{resultWrapper:"ListTagsForResourceResult",type:"structure",members:{TagList:{shape:"S9"}}}},ModifyDBInstance:{input:{type:"structure",required:["DBInstanceIdentifier"],members:{DBInstanceIdentifier:{},AllocatedStorage:{typ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-members:{EventSubscription:{shape:"S4"}}}},ModifyOptionGroup:{input:{type:"structure",required:["OptionGroupName"],members:{OptionGroupName:{},OptionsToInclude:{type:"list",member:{locationName:"OptionConfiguration",type:"structure",required:["OptionName"],members:{OptionName:{},Port:{type:"integer"},DBSecurityGroupMemberships:{shape:"S13"},VpcSecurityGroupMemberships:{shape:"S14"},OptionSettings:{type:"list",member:{shape:"Sx",locationName:"OptionSetting"}}}}},OptionsToRemove:{type:"list",member:{}},ApplyImmediately:{type:"boolean"}}},output:{resultWrapper:"ModifyOptionGroupResult",type:"structure",members:{OptionGroup:{shape:"St"}}}},PromoteReadReplica:{input:{type:"structure",required:["DBInstanceIdentifier"],members:{DBInstanceIdentifier:{},BackupRetentionPeriod:{type:"integer"},PreferredBackupWindow:{}}},output:{resultWrapper:"PromoteReadReplicaResult",type:"structure",members:{DBInstance:{shape:"S17"}}}},PurchaseReservedDBInstancesOffering:{input:{type:"structure",required:["ReservedDBInstancesOfferingId"],members:{ReservedDBInstancesOfferingId:{},ReservedDBInstanceId:{},DBInstanceCount:{type:"integer"},Tags:{shape:"S9"}}},output:{resultWrapper:"PurchaseReservedDBInstancesOfferingResult",type:"structure",members:{ReservedDBInstance:{shape:"S45"}}}},RebootDBInstance:{input:{type:"structure",required:["DBInstanceIdentifier"],members:{DBInstanceIdentifier:{},ForceFailover:{type:"boolean"}}},output:{resultWrapper:"RebootDBInstanceResult",type:"structure",members:{DBInstance:{shape:"S17"}}}},RemoveSourceIdentifierFromSubscription:{input:{type:"structure",required:["SubscriptionName","SourceIdentifier"],members:{SubscriptionName:{},SourceIdentifier:{}}},output:{resultWrapper:"RemoveSourceIdentifierFromSubscriptionResult",type:"structure",members:{EventSubscription:{shape:"S4"}}}},RemoveTagsFromResource:{input:{type:"structure",required:["ResourceName","TagKeys"],members:{ResourceName:{},TagKeys:{type:"list",member:{}}}}},ResetDBParameterGroup:{input:{type:"structure",required:["DBParameterGroupName"],members:{DBParameterGroupName:{},ResetAllParameters:{type:"boolean"},Parameters:{shape:"S2w"}}},output:{shape:"S4k",resultWrapper:"ResetDBParameterGroupResult"}},RestoreDBInstanceFromDBSnapshot:{input:{type:"structure",required:["DBInstanceIdentifier","DBSnapshotIdentifier"],members:{DBInstanceIdentifier:{},DBSnapshotIdentifier:{},DBInstanceClass:{},Port:{type:"integer"},AvailabilityZone:{},DBSubnetGroupName:{},MultiAZ:{type:"boolean"},PubliclyAccessible:{type:"boolean"},AutoMinorVersionUpgrade:{type:"boolean"},LicenseModel:{},DBName:{},Engine:{},Iops:{type:"integer"},OptionGroupName:{},Tags:{shape:"S9"},StorageType:{},TdeCredentialArn:{},TdeCredentialPassword:{}}},output:{resultWrapper:"RestoreDBInstanceFromDBSnapshotResult",type:"structure",members:{DBInstance:{shape:"S17"}}}},RestoreDBInstanceToPointInTime:{input:{type:"structure",required:["SourceDBInstanceIdentifier","TargetDBInstanceIdentifier"],members:{SourceDBInstanceIdentifier:{},TargetDBInstanceIdentifier:{},RestoreTime:{type:"timestamp"},UseLatestRestorableTime:{type:"boolean"},DBInstanceClass:{},Port:{type:"integer"},AvailabilityZone:{},DBSubnetGroupName:{},MultiAZ:{type:"boolean"},PubliclyAccessible:{type:"boolean"},AutoMinorVersionUpgrade:{type:"boolean"},LicenseModel:{},DBName:{},Engine:{},Iops:{type:"integer"},OptionGroupName:{},Tags:{shape:"S9"},StorageType:{},TdeCredentialArn:{},TdeCredentialPassword:{}}},output:{resultWrapper:"RestoreDBInstanceToPointInTimeResult",type:"structure",members:{DBInstance:{shape:"S17"}}}},RevokeDBSecurityGroupIngress:{input:{type:"structure",required:["DBSecurityGroupName"],members:{DBSecurityGroupName:{},CIDRIP:{},EC2SecurityGroupName:{},EC2SecurityGroupId:{},EC2SecurityGroupOwnerId:{}}},output:{resultWrapper:"RevokeDBSecurityGroupIngressResult",type:"structure",members:{DBSecurityGroup:{shape:"Sd"}}}}},shapes:{S4:{type:"structure",members:{CustomerAwsId:{},CustSubscriptionId:{},SnsTopicArn:{},Status:{},SubscriptionCreationTime:{},SourceType:{},SourceIdsList:{shape:"S5"},EventCategoriesList:{shape:"S6"},Enabled:{type:"boolean"}},wrapper:!0},S5:{type:"list",member:{locationName:"SourceId"}},S6:{type:"list",member:{locationName:"EventCategory"}},S9:{type:"list",member:{locationName:"Tag",type:"structure",members:{Key:{},Value:{}}}},Sd:{type:"structure",members:{OwnerId:{},DBSecurityGroupName:{},DBSecurityGroupDescription:{},VpcId:{},EC2SecurityGroups:{type:"list",member:{locationName:"EC2SecurityGroup",type:"structure",members:{Status:{},EC2SecurityGroupName:{},EC2SecurityGroupId:{},EC2SecurityGroupOwnerId:{}}}},IPRanges:{type:"list",member:{locationName:"IPRange",type:"structure",members:{Status:{},CIDRIP:{}}}}},wrapper:!0},Sk:{type:"structure",members:{DBParameterGroupName:{},DBParameterGroupFamily:{},Description:{}},wrapper:!0},Sn:{type:"structure",members:{DBSnapshotIdentifier:{},DBInstanceIdentifier:{},SnapshotCreateTime:{type:"timestamp"},Engine:{},AllocatedStorage:{type:"integer"},Status:{},Port:{type:"int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`0`"},{expected:"DBInstanceNotFound",matcher:"error",state:"success"},{expected:"creating",matcher:"pathAny",state:"failure",argument:"DBInstances[].DBInstanceStatus"},{expected:"modifying",matcher:"pathAny",state:"failure",argument:"DBInstances[].DBInstanceStatus"},{expected:"rebooting",matcher:"pathAny",state:"failure",argument:"DBInstances[].DBInstanceStatus"},{expected:"resetting-master-credentials",matcher:"pathAny",state:"failure",argument:"DBInstances[].DBInstanceStatus"}]},DBSnapshotAvailable:{delay:30,operation:"DescribeDBSnapshots",maxAttempts:60,acceptors:[{expected:"available",matcher:"pathAll",state:"success",argument:"DBSnapshots[].Status"},{expected:"deleted",matcher:"pathAny",state:"failure",argument:"DBSnapshots[].Status"},{expected:"deleting",matcher:"pathAny",state:"failure",argument:"DBSnapshots[].Status"},{expected:"failed",matcher:"pathAny",state:"failure",argument:"DBSnapshots[].Status"},{expected:"incompatible-restore",matcher:"pathAny",state:"failure",argument:"DBSnapshots[].Status"},{expected:"incompatible-parameters",matcher:"pathAny",state:"failure",argument:"DBSnapshots[].Status"}]},DBSnapshotDeleted:{delay:30,operation:"DescribeDBSnapshots",maxAttempts:60,acceptors:[{expected:!0,matcher:"path",state:"success",argument:"length(DBSnapshots) 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`0`"},{expected:"DBSnapshotNotFound",matcher:"error",state:"success"},{expected:"creating",matcher:"pathAny",state:"failure",argument:"DBSnapshots[].Status"},{expected:"modifying",matcher:"pathAny",state:"failure",argument:"DBSnapshots[].Status"},{expected:"rebooting",matcher:"pathAny",state:"failure",argument:"DBSnapshots[].Status"},{expected:"resetting-master-credentials",matcher:"pathAny",state:"failure",argument:"DBSnapshots[].Status"}]},DBClusterSnapshotAvailable:{delay:30,operation:"DescribeDBClusterSnapshots",maxAttempts:60,acceptors:[{expected:"available",matcher:"pathAll",state:"success",argument:"DBClusterSnapshots[].Status"},{expected:"deleted",matcher:"pathAny",state:"failure",argument:"DBClusterSnapshots[].Status"},{expected:"deleting",matcher:"pathAny",state:"failure",argument:"DBClusterSnapshots[].Status"},{expected:"failed",matcher:"pathAny",state:"failure",argument:"DBClusterSnapshots[].Status"},{expected:"incompatible-restore",matcher:"pathAny",state:"failure",argument:"DBClusterSnapshots[].Status"},{expected:"incompatible-parameters",matcher:"pathAny",state:"failure",argument:"DBClusterSnapshots[].Status"}]},DBClusterSnapshotDeleted:{delay:30,operation:"DescribeDBClusterSnapshots",maxAttempts:60,acceptors:[{expected:!0,matcher:"path",state:"success",argument:"length(DBClusterSnapshots) 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Redshift",serviceId:"Redshift",signatureVersion:"v4",uid:"redshift-2012-12-01",xmlNamespace:"http://redshift.amazonaws.com/doc/2012-12-01/"},operations:{AcceptReservedNodeExchange:{input:{type:"structure",required:["ReservedNodeId","TargetReservedNodeOfferingId"],members:{ReservedNodeId:{},TargetReservedNodeOfferingId:{}}},output:{resultWrapper:"AcceptReservedNodeExchangeResult",type:"structure",members:{ExchangedReservedNode:{shape:"S4"}}}},AuthorizeClusterSecurityGroupIngress:{input:{type:"structure",required:["ClusterSecurityGroupName"],members:{ClusterSecurityGroupName:{},CIDRIP:{},EC2SecurityGroupName:{},EC2SecurityGroupOwnerId:{}}},output:{resultWrapper:"AuthorizeClusterSecurityGroupIngressResult",type:"structure",members:{ClusterSecurityGroup:{shape:"Sd"}}}},AuthorizeSnapshotAccess:{input:{type:"structure",required:["SnapshotIdentifier","AccountWithRestoreAccess"],members:{SnapshotIdentifier:{},SnapshotClusterIdentifier:{},AccountWithRestoreAccess:{}}},output:{resultWrapper:"AuthorizeSnapshotAccessResult",type:"structure",members:{Snapshot:{shape:"Sm"}}}},BatchDeleteClusterSnapshots:{input:{type:"structure",required:["Identifiers"],members:{Identifiers:{type:"list",member:{shape:"Sv",locationName:"DeleteClusterSnapshotMessage"}}}},output:{resultWrapper:"BatchDeleteClusterSnapshotsResult",type:"structure",members:{Resources:{shape:"Sx"},Errors:{type:"list",member:{shape:"Sz",locationName:"SnapshotErrorMessage"}}}}},BatchModifyClusterSnapshots:{input:{type:"structure",required:["SnapshotIdentifierList"],members:{SnapshotIdentifierList:{shape:"Sx"},ManualSnapshotRetentionPeriod:{type:"integer"},Force:{type:"boolean"}}},output:{resultWrapper:"BatchModifyClusterSnapshotsResult",type:"structure",members:{Resources:{shape:"Sx"},Errors:{type:"list",member:{shape:"Sz",locationName:"SnapshotErrorMessage"}}}}},CancelResize:{input:{type:"structure",required:["ClusterIdentifier"],members:{ClusterIdentifier:{}}},output:{shape:"S14",resultWrapper:"CancelResizeResult"}},CopyClusterSnapshot:{input:{type:"structure",required:["SourceSnapshotIdentifier","TargetSnapshotIdentifier"],members:{SourceSnapshotIdentifier:{},SourceSnapshotClusterIdentifier:{},TargetSnapshotIdentifier:{},ManualSnapshotRetentionPeriod:{type:"integer"}}},output:{resultWrapper:"CopyClusterSnapshotResult",type:"structure",members:{Snapshot:{shape:"Sm"}}}},CreateCluster:{input:{type:"structure",required:["ClusterIdentifier","NodeType","MasterUsername","MasterUserPassword"],members:{DBName:{},ClusterIdentifier:{},ClusterType:{},NodeType:{},MasterUsername:{},MasterUserPassword:{},ClusterSecurityGroups:{shape:"S1d"},VpcSecurityGroupIds:{shape:"S1e"},ClusterSubnetGroupName:{},AvailabilityZone:{},PreferredMaintenanceWindow:{},ClusterParameterGroupName:{},AutomatedSnapshotRetentionPeriod:{type:"integer"},ManualSnapshotRetentionPeriod:{type:"integer"},Port:{type:"integer"},ClusterVersion:{},AllowVersionUpgrade:{type:"boolean"},NumberOfNodes:{type:"integer"},PubliclyAccessible:{type:"boolean"},Encrypted:{type:"boolean"},HsmClientCertificateIdentifier:{},HsmConfigurationIdentifier:{},ElasticIp:{},Tags:{shape:"Sg"},KmsKeyId:{},EnhancedVpcRouting:{type:"boolean"},AdditionalInfo:{},IamRoles:{shape:"S1g"},MaintenanceTrackName:{},SnapshotScheduleIdentifier:{}}},output:{resultWrapper:"CreateClusterResult",type:"structure",members:{Cluster:{shape:"S1i"}}}},CreateClusterParameterGroup:{input:{type:"structure",required:["ParameterGroupName","ParameterGroupFamily","Description"],members:{ParameterGroupName:{},ParameterGroupFamily:{},Description:{},Tags:{shape:"Sg"}}},output:{resultWrapper:"CreateClusterParameterGroupResult",type:"structure",members:{ClusterParameterGroup:{shape:"S29"}}}},CreateClusterSecurityGroup:{input:{type:"structure",required:["ClusterSecurityGroupName","Description"],members:{ClusterSecurityGroupName:{},Description:{},Tags:{shape:"Sg"}}},output:{resultWrapper:"CreateClusterSecurityGroupResult",type:"structure",members:{ClusterSecurityGroup:{shape:"Sd"}}}},CreateClusterSnapshot:{input:{type:"structure",required:["SnapshotIdentifier","ClusterIdentifier"],members:{SnapshotIdentifier:{},ClusterIdentifier:{},ManualSnapshotRetentionPeriod:{type:"integer"},Tags:{shape:"Sg"}}},output:{resultWrapper:"CreateClusterSnapshotResult",type:"structure",members:{Snapshot:{shape:"Sm"}}}},CreateClusterSubnetGroup:{input:{type:"structure",required:["ClusterSubnetGroupName","Description","SubnetIds"],members:{ClusterSubnetGroupName:{},Description:{},SubnetIds:{shape:"S2f"},Tags:{shape:"Sg"}}},output:{resultWrapper:"CreateClusterSubnetGroupResult",type:"structure",members:{ClusterSubnetGroup:{shape:"S2h"}}}},CreateEventSubscription:{input:{type:"structure",required:["SubscriptionName","SnsTopicArn"],members:{SubscriptionName:{},SnsTopicArn:{},SourceType:{},SourceIds:{shape:"S2o"},EventCategories:{shape:"S2p"},Severity:{},Enabled:{type:"boolean"},Tags:{shape:"Sg"}}},output:{resultWrapper:"CreateEventSubscriptionResult",type:"structure",members:{EventSubscription:{shap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oupName:{},Source:{},MaxRecords:{type:"integer"},Marker:{}}},output:{resultWrapper:"DescribeClusterParametersResult",type:"structure",members:{Parameters:{shape:"S4b"},Marker:{}}}},DescribeClusterSecurityGroups:{input:{type:"structure",members:{ClusterSecurityGroupName:{},MaxRecords:{type:"integer"},Marker:{},TagKeys:{shape:"S3r"},TagValues:{shape:"S46"}}},output:{resultWrapper:"DescribeClusterSecurityGroupsResult",type:"structure",members:{Marker:{},ClusterSecurityGroups:{type:"list",member:{shape:"Sd",locationName:"ClusterSecurityGroup"}}}}},DescribeClusterSnapshots:{input:{type:"structure",members:{ClusterIdentifier:{},SnapshotIdentifier:{},SnapshotType:{},StartTime:{type:"timestamp"},EndTime:{type:"timestamp"},MaxRecords:{type:"integer"},Marker:{},OwnerAccount:{},TagKeys:{shape:"S3r"},TagValues:{shape:"S46"},ClusterExists:{type:"boolean"},SortingEntities:{type:"list",member:{locationName:"SnapshotSortingEntity",type:"structure",required:["Attribute"],members:{Attribute:{},SortOrder:{}}}}}},output:{resultWrapper:"DescribeClusterSnapshotsResult",type:"structure",members:{Marker:{},Snapshots:{type:"list",member:{shape:"Sm",locationName:"Snapshot"}}}}},DescribeClusterSubnetGroups:{input:{type:"structure",members:{ClusterSubnetGroupName:{},MaxRecords:{type:"integer"},Marker:{},TagKeys:{shape:"S3r"},TagValues:{shape:"S46"}}},output:{resultWrapper:"DescribeClusterSubnetGroupsResult",type:"structure",members:{Marker:{},ClusterSubnetGroups:{type:"list",member:{shape:"S2h",locationName:"ClusterSubnetGroup"}}}}},DescribeClusterTracks:{input:{type:"structure",members:{MaintenanceTrackName:{},MaxRecords:{type:"integer"},Marker:{}}},output:{resultWrapper:"DescribeClusterTracksResult",type:"structure",members:{MaintenanceTracks:{type:"list",member:{locationName:"MaintenanceTrack",type:"structure",members:{MaintenanceTrackName:{},DatabaseVersion:{},UpdateTargets:{type:"list",member:{locationName:"UpdateTarget",type:"structure",members:{MaintenanceTrackName:{},DatabaseVersion:{},SupportedOperations:{type:"list",member:{locationName:"SupportedOperation",type:"structure",members:{OperationName:{}}}}}}}}}},Marker:{}}}},DescribeClusterVersions:{input:{type:"structure",members:{ClusterVersion:{},ClusterParameterGroupFamily:{},MaxRecords:{type:"integer"},Marker:{}}},output:{resultWrapper:"DescribeClusterVersionsResult",type:"structure",members:{Marker:{},ClusterVersions:{type:"list",member:{locationName:"ClusterVersion",type:"structure",members:{ClusterVersion:{},ClusterParameterGroupFamily:{},Description:{}}}}}}},DescribeClusters:{input:{type:"structure",members:{ClusterIdentifier:{},MaxRecords:{type:"integer"},Marker:{},TagKeys:{shape:"S3r"},TagValues:{shape:"S46"}}},output:{resultWrapper:"DescribeClustersResult",type:"structure",members:{Marker:{},Clusters:{type:"list",member:{shape:"S1i",locationName:"Cluster"}}}}},DescribeDefaultClusterParameters:{input:{type:"structure",required:["ParameterGroupFamily"],members:{ParameterGroupFamily:{},MaxRecords:{type:"integer"},Marker:{}}},output:{resultWrapper:"DescribeDefaultClusterParametersResult",type:"structure",members:{DefaultClusterParameters:{type:"structure",members:{ParameterGroupFamily:{},Marker:{},Parameters:{shape:"S4b"}},wrapper:!0}}}},DescribeEventCategories:{input:{type:"structure",members:{SourceType:{}}},output:{resultWrapper:"DescribeEventCategoriesResult",type:"structure",members:{EventCategoriesMapList:{type:"list",member:{locationName:"EventCategoriesMap",type:"structure",members:{SourceType:{},Events:{type:"list",member:{locationName:"EventInfoMap",type:"structure",members:{EventId:{},EventCategories:{shape:"S2p"},EventDescription:{},Severity:{}},wrapper:!0}}},wrapper:!0}}}}},DescribeEventSubscriptions:{input:{type:"structure",members:{SubscriptionName:{},MaxRecords:{type:"integer"},Marker:{},TagKeys:{shape:"S3r"},TagValues:{shape:"S46"}}},output:{resultWrapper:"DescribeEventSubscriptionsResult",type:"structure",members:{Marker:{},EventSubscriptionsList:{type:"list",member:{shape:"S2r",locationName:"EventSubscription"}}}}},DescribeEvents:{input:{type:"structure",members:{SourceIdentifier:{},SourceType:{},StartTime:{type:"timestamp"},EndTime:{type:"timestamp"},Duration:{type:"integer"},MaxRecords:{type:"integer"},Marker:{}}},output:{resultWrapper:"DescribeEventsResult",type:"structure",members:{Marker:{},Events:{type:"list",member:{locationName:"Event",type:"structure",members:{SourceIdentifier:{},SourceType:{},Message:{},EventCategories:{shape:"S2p"},Severity:{},Date:{type:"timestamp"},EventId:{}}}}}}},DescribeHsmClientCertificates:{input:{type:"structure",members:{HsmClientCertificateIdentifier:{},MaxRecords:{type:"integer"},Marker:{},TagKeys:{shape:"S3r"},TagValues:{shape:"S46"}}},output:{resultWrapper:"DescribeHsmClientCertificatesResult",type:"structure",members:{Marker:{},HsmClientCertificates:{type:"list",member:{shape:"S2u",locationName:"HsmClientCertificate"}}}}},DescribeHsmConfigurations:{input:{type:"structure",members:{HsmConfigurationIdentifier:{},MaxRecords:{type:"integer"},Marker:{},TagKeys:{shape:"S3r"},TagValues:{shape:"S46"}}},output:{resultWrapper:"DescribeHsmConfigurationsResult",type:"structure",members:{Marker:{},HsmConfigurations:{type:"list",member:{shape:"S2x",locationName:"HsmConfiguration"}}}}},DescribeLoggingStatus:{input:{type:"structure",required:["ClusterIdentifier"],members:{ClusterIdentifier:{}}},output:{shape:"S5u",resultWrapper:"DescribeLoggingStatusResult"}},DescribeNodeConfigurationOptions:{input:{type:"structure",required:["ActionType"],members:{ActionType:{},ClusterIdentifier:{},SnapshotIdentifier:{},OwnerAccount:{},Filters:{locationName:"Filter",type:"list",member:{locationName:"NodeConfigurationOptionsFilter",type:"structure",members:{Name:{},Operator:{},Values:{shape:"S61",locationName:"Value"}}}},Marker:{},MaxRecords:{type:"integer"}}},output:{resultWrapper:"DescribeNodeConfigurationOptionsResult",type:"structure",members:{NodeConfigurationOptionList:{type:"list",member:{locationName:"NodeConfigurationOption",type:"structure",members:{NodeType:{},NumberOfNodes:{type:"integer"},EstimatedDiskUtilizationPercent:{type:"double"},Mode:{}}}},Marker:{}}}},DescribeOrderableClusterOptions:{input:{type:"structure",members:{ClusterVersion:{},NodeType:{},MaxRecords:{type:"integer"},Marker:{}}},output:{resultWrapper:"DescribeOrderableClusterOptionsResult",type:"structure",members:{OrderableClusterOptions:{type:"list",member:{locationName:"OrderableClusterOption",type:"structure",members:{ClusterVersion:{},ClusterType:{},NodeType:{},AvailabilityZones:{type:"list",member:{shape:"S2k",locationName:"AvailabilityZone"}}},wrapper:!0}},Marker:{}}}},DescribeReservedNodeOfferings:{input:{type:"structure",members:{ReservedNodeOfferingId:{},MaxRecords:{type:"integer"},Marker:{}}},output:{resultWrapper:"DescribeReservedNodeOfferingsResult",type:"structure",members:{Marker:{},ReservedNodeOfferings:{shape:"S6d"}}}},DescribeReservedNodes:{input:{type:"structure",members:{ReservedNodeId:{},MaxRecords:{type:"integer"},Marker:{}}},output:{resultWrapper:"DescribeReservedNodesResult",type:"structure",members:{Marker:{},ReservedNodes:{type:"list",member:{shape:"S4",locationName:"ReservedNode"}}}}},DescribeResize:{input:{type:"structure",required:["ClusterIdentifier"],members:{ClusterIdentifier:{}}},output:{shape:"S14",resultWrapper:"DescribeResizeResult"}},DescribeScheduledActions:{input:{type:"structure",members:{ScheduledActionName:{},TargetActionType:{},StartTime:{type:"timestamp"},EndTime:{type:"timestamp"},Active:{type:"boolean"},Filters:{type:"list",member:{locationName:"ScheduledActionFilter",type:"structure",required:["Name","Values"],members:{Name:{},Values:{shape:"S61"}}}},Marker:{},MaxRecords:{type:"integer"
-}}},output:{resultWrapper:"DescribeScheduledActionsResult",type:"structure",members:{Marker:{},ScheduledActions:{type:"list",member:{shape:"S31",locationName:"ScheduledAction"}}}}},DescribeSnapshotCopyGrants:{input:{type:"structure",members:{SnapshotCopyGrantName:{},MaxRecords:{type:"integer"},Marker:{},TagKeys:{shape:"S3r"},TagValues:{shape:"S46"}}},output:{resultWrapper:"DescribeSnapshotCopyGrantsResult",type:"structure",members:{Marker:{},SnapshotCopyGrants:{type:"list",member:{shape:"S36",locationName:"SnapshotCopyGrant"}}}}},DescribeSnapshotSchedules:{input:{type:"structure",members:{ClusterIdentifier:{},ScheduleIdentifier:{},TagKeys:{shape:"S3r"},TagValues:{shape:"S46"},Marker:{},MaxRecords:{type:"integer"}}},output:{resultWrapper:"DescribeSnapshotSchedulesResult",type:"structure",members:{SnapshotSchedules:{type:"list",member:{shape:"S39",locationName:"SnapshotSchedule"}},Marker:{}}}},DescribeStorage:{output:{resultWrapper:"DescribeStorageResult",type:"structure",members:{TotalBackupSizeInMegaBytes:{type:"double"},TotalProvisionedStorageInMegaBytes:{type:"double"}}}},DescribeTableRestoreStatus:{input:{type:"structure",members:{ClusterIdentifier:{},TableRestoreRequestId:{},MaxRecords:{type:"integer"},Marker:{}}},output:{resultWrapper:"DescribeTableRestoreStatusResult",type:"structure",members:{TableRestoreStatusDetails:{type:"list",member:{shape:"S70",locationName:"TableRestoreStatus"}},Marker:{}}}},DescribeTags:{input:{type:"structure",members:{ResourceName:{},ResourceType:{},MaxRecords:{type:"integer"},Marker:{},TagKeys:{shape:"S3r"},TagValues:{shape:"S46"}}},output:{resultWrapper:"DescribeTagsResult",type:"structure",members:{TaggedResources:{type:"list",member:{locationName:"TaggedResource",type:"structure",members:{Tag:{shape:"Sh"},ResourceName:{},ResourceType:{}}}},Marker:{}}}},DisableLogging:{input:{type:"structure",required:["ClusterIdentifier"],members:{ClusterIdentifier:{}}},output:{shape:"S5u",resultWrapper:"DisableLoggingResult"}},DisableSnapshotCopy:{input:{type:"structure",required:["ClusterIdentifier"],members:{ClusterIdentifier:{}}},output:{resultWrapper:"DisableSnapshotCopyResult",type:"structure",members:{Cluster:{shape:"S1i"}}}},EnableLogging:{input:{type:"structure",required:["ClusterIdentifier","BucketName"],members:{ClusterIdentifier:{},BucketName:{},S3KeyPrefix:{}}},output:{shape:"S5u",resultWrapper:"EnableLoggingResult"}},EnableSnapshotCopy:{input:{type:"structure",required:["ClusterIdentifier","DestinationRegion"],members:{ClusterIdentifier:{},DestinationRegion:{},RetentionPeriod:{type:"integer"},SnapshotCopyGrantName:{},ManualSnapshotRetentionPeriod:{type:"integer"}}},output:{resultWrapper:"EnableSnapshotCopyResult",type:"structure",members:{Cluster:{shape:"S1i"}}}},GetClusterCredentials:{input:{type:"structure",required:["DbUser","ClusterIdentifier"],members:{DbUser:{},DbName:{},ClusterIdentifier:{},DurationSeconds:{type:"integer"},AutoCreate:{type:"boolean"},DbGroups:{type:"list",member:{locationName:"DbGroup"}}}},output:{resultWrapper:"GetClusterCredentialsResult",type:"structure",members:{DbUser:{},DbPassword:{type:"string",sensitive:!0},Expiration:{type:"timestamp"}}}},GetReservedNodeExchangeOfferings:{input:{type:"structure",required:["ReservedNodeId"],members:{ReservedNodeId:{},MaxRecords:{type:"integer"},Marker:{}}},output:{resultWrapper:"GetReservedNodeExchangeOfferingsResult",type:"structure",members:{Marker:{},ReservedNodeOfferings:{shape:"S6d"}}}},ModifyCluster:{input:{type:"structure",required:["ClusterIdentifier"],members:{ClusterIdentifier:{},ClusterType:{},NodeType:{},NumberOfNodes:{type:"integer"},ClusterSecurityGroups:{shape:"S1d"},VpcSecurityGroupIds:{shape:"S1e"},MasterUserPassword:{},ClusterParameterGroupName:{},AutomatedSnapshotRetentionPeriod:{type:"integer"},ManualSnapshotRetentionPeriod:{type:"integer"},PreferredMaintenanceWindow:{},ClusterVersion:{},AllowVersionUpgrade:{type:"boolean"},HsmClientCertificateIdentifier:{},HsmConfigurationIdentifier:{},NewClusterIdentifier:{},PubliclyAccessible:{type:"boolean"},ElasticIp:{},EnhancedVpcRouting:{type:"boolean"},MaintenanceTrackName:{},Encrypted:{type:"boolean"},KmsKeyId:{}}},output:{resultWrapper:"ModifyClusterResult",type:"structure",members:{Cluster:{shape:"S1i"}}}},ModifyClusterDbRevision:{input:{type:"structure",required:["ClusterIdentifier","RevisionTarget"],members:{ClusterIdentifier:{},RevisionTarget:{}}},output:{resultWrapper:"ModifyClusterDbRevisionResult",type:"structure",members:{Cluster:{shape:"S1i"}}}},ModifyClusterIamRoles:{input:{type:"structure",required:["ClusterIdentifier"],members:{ClusterIdentifier:{},AddIamRoles:{shape:"S1g"},RemoveIamRoles:{shape:"S1g"}}},output:{resultWrapper:"ModifyClusterIamRolesResult",type:"structure",members:{Cluster:{shape:"S1i"}}}},ModifyClusterMaintenance:{input:{type:"structure",required:["ClusterIdentifier"],members:{ClusterIdentifier:{},DeferMaintenance:{type:"boolean"},DeferMaintenanceIdentifier:{},DeferMaintenanceStartTime:{type:"timestamp"},DeferMainte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ClusterVersion:{},AllowVersionUpgrade:{type:"boolean"},NumberOfNodes:{type:"integer"},PubliclyAccessible:{type:"boolean"},Encrypted:{type:"boolean"},RestoreStatus:{type:"structure",members:{Status:{},CurrentRestoreRateInMegaBytesPerSecond:{type:"double"},SnapshotSizeInMegaBytes:{type:"long"},ProgressInMegaBytes:{type:"long"},ElapsedTimeInSeconds:{type:"long"},EstimatedTimeToCompletionInSeconds:{type:"long"}}},DataTransferProgress:{type:"structure",members:{Status:{},CurrentRateInMegaBytesPerSecond:{type:"double"},TotalDataInMegaBytes:{type:"long"},DataTransferredInMegaBytes:{type:"long"},EstimatedTimeToCompletionInSeconds:{type:"long"},ElapsedTimeInSeconds:{type:"long"}}},HsmStatus:{type:"structure",members:{HsmClientCertificateIdentifier:{},HsmConfigurationIdentifier:{},Status:{}}},ClusterSnapshotCopyStatus:{type:"structure",members:{DestinationRegion:{},RetentionPeriod:{type:"long"},ManualSnapshotRetentionPeriod:{type:"integer"},SnapshotCopyGrantName:{}}},ClusterPublicKey:{},ClusterNodes:{type:"list",member:{type:"structure",members:{NodeRole:{},PrivateIPAddress:{},PublicIPAddress:{}}}},ElasticIpStatus:{type:"structure",members:{ElasticIp:{},Status:{}}},ClusterRevisionNumber:{},Tags:{shape:"Sg"},KmsKeyId:{},EnhancedVpcRouting:{type:"boolean"},IamRoles:{type:"list",member:{locationName:"ClusterIamRole",type:"structure",members:{IamRoleArn:{},ApplyStatus:{}}}},PendingActions:{type:"list",member:{}},MaintenanceTrackName:{},ElasticResizeNumberOfNodeOptions:{},DeferredMaintenanceWindows:{type:"list",member:{locationName:"DeferredMaintenanceWindow",type:"structure",members:{DeferMaintenanceIdentifier:{},DeferMaintenanceStartTime:{type:"timestamp"},DeferMaintenanceEndTime:{type:"timestamp"}}}},SnapshotScheduleIdentifier:{},SnapshotScheduleState:{},ExpectedNextSnapshotScheduleTime:{type:"timestamp"},ExpectedNextSnapshotScheduleTimeStatus:{},NextMaintenanceWindowStartTime:{type:"timestamp"},ResizeInfo:{type:"structure",members:{ResizeType:{},AllowCancelResize:{type:"boolean"}}}},wrapper:!0},S29:{type:"structure",members:{ParameterGroupName:{},ParameterGroupFamily:{},Description:{},Tags:{shape:"Sg"}},wrapper:!0},S2f:{type:"list",member:{locationName:"SubnetIdentifier"}},S2h:{type:"structure",members:{ClusterSubnetGroupName:{},Description:{},VpcId:{},SubnetGroupStatus:{},Subnets:{type:"list",member:{locationName:"Subnet",type:"structure",members:{SubnetIdentifier:{},SubnetAvailabilityZone:{shape:"S2k"},SubnetStatus:{}}}},Tags:{shape:"Sg"}},wrapper:!0},S2k:{type:"structure",members:{Name:{},SupportedPlatforms:{type:"list",member:{locationName:"SupportedPlatform",type:"structure",members:{Name:{}},wrapper:!0}}},wrapper:!0},S2o:{type:"list",member:{locationName:"SourceId"}},S2p:{type:"list",member:{locationName:"EventCategory"}},S2r:{type:"structure",members:{CustomerAwsId:{},CustSubscriptionId:{},SnsTopicArn:{},Status:{},SubscriptionCreationTime:{type:"timestamp"},SourceType:{},SourceIdsList:{shape:"S2o"},EventCategoriesList:{shape:"S2p"},Severity:{},Enabled:{type:"boolean"},Tags:{shape:"Sg"}},wrapper:!0},S2u:{type:"structure",members:{HsmClientCertificateIdentifier:{},HsmClientCertificatePublicKey:{},Tags:{shape:"Sg"}},wrapper:!0},S2x:{type:"structure",members:{HsmConfigurationIdentifier:{},Description:{},HsmIpAddress:{},HsmPartitionName:{},Tags:{shape:"Sg"}},wrapper:!0},S2z:{type:"structure",members:{ResizeCluster:{shape:"S30"}}},S30:{type:"structure",required:["ClusterIdentifier","NumberOfNodes"],members:{ClusterIdentifier:{},ClusterType:{},NodeType:{},NumberOfNodes:{type:"integer"},Classic:{type:"boolean"}}},S31:{type:"structure",members:{ScheduledActionName:{},TargetAction:{shape:"S2z"},Schedule:{},IamRole:{},ScheduledActionDescription:{},State:{},NextInvocations:{type:"list",member:{locationName:"ScheduledActionTime",type:"timestamp"}},StartTime:{type:"timestamp"},EndTime:{type:"timestamp"}}},S36:{type:"structure",members:{SnapshotCopyGrantName:{},KmsKeyId:{},Tags:{shape:"Sg"}},wrapper:!0},S38:{type:"list",member:{locationName:"ScheduleDefinition"}},S39:{type:"structure",members:{ScheduleDefinitions:{shape:"S38"},ScheduleIdentifier:{},ScheduleDescription:{},Tags:{shape:"Sg"},NextInvocations:{type:"list",member:{locationName:"SnapshotTime",type:"timestamp"}},AssociatedClusterCount:{type:"integer"},AssociatedClusters:{type:"list",member:{locationName:"ClusterAssociatedToSchedule",type:"structure",members:{ClusterIdentifier:{},ScheduleAssociationState:{}}}}}},S3r:{type:"list",member:{locationName:"TagKey"}},S46:{type:"list",member:{locationName:"TagValue"}},S4b:{type:"list",member:{locationName:"Parameter",type:"structure",members:{ParameterName:{},ParameterValue:{},Description:{},Source:{},DataType:{},AllowedValues:{},ApplyType:{},IsModifiable:{type:"boolean"},MinimumEngineVersion:{}}}},S5u:{type:"structure",members:{LoggingEnabled:{type:"boolean"},BucketName:{},S3KeyPrefix:{},LastSuccessfulDeliveryTime:{type:"timestamp"},LastFailureTime:{type:"timestamp"},LastFailureMessage:{}}},S61:{type:"list",member:{locationN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mz-expiration"},CopySourceVersionId:{location:"header",locationName:"x-amz-copy-source-version-id"},VersionId:{location:"header",locationName:"x-amz-version-id"},ServerSideEncryption:{location:"header",locationName:"x-amz-server-side-encryption"},SSECustomerAlgorithm:{location:"header",locationName:"x-amz-server-side-encryption-customer-algorithm"},SSECustomerKeyMD5:{location:"header",locationName:"x-amz-server-side-encryption-customer-key-MD5"},SSEKMSKeyId:{shape:"Sj",location:"header",locationName:"x-amz-server-side-encryption-aws-kms-key-id"},SSEKMSEncryptionContext:{shape:"S1b",location:"header",locationName:"x-amz-server-side-encryption-context"},RequestCharged:{location:"header",locationName:"x-amz-request-charged"}},payload:"CopyObjectResult"},alias:"PutObjectCopy"},CreateBucket:{http:{method:"PUT",requestUri:"/{Bucket}"},input:{type:"structure",required:["Bucket"],members:{ACL:{location:"header",locationName:"x-amz-acl"},Bucket:{location:"uri",locationName:"Bucket"},CreateBucketConfiguration:{locationName:"CreateBucketConfiguration",xmlNamespace:{uri:"http://s3.amazonaws.com/doc/2006-03-01/"},type:"structure",members:{LocationConstraint:{}}},GrantFullControl:{location:"header",locationName:"x-amz-grant-full-control"},GrantRead:{location:"header",locationName:"x-amz-grant-read"},GrantReadACP:{location:"header",locationName:"x-amz-grant-read-acp"},GrantWrite:{location:"header",locationName:"x-amz-grant-write"},GrantWriteACP:{location:"header",locationName:"x-amz-grant-write-acp"},ObjectLockEnabledForBucket:{location:"header",locationName:"x-amz-bucket-object-lock-enabled",type:"boolean"}},payload:"CreateBucketConfiguration"},output:{type:"structure",members:{Location:{location:"header",locationName:"Location"}}},alias:"PutBucket"},CreateMultipartUpload:{http:{requestUri:"/{Bucket}/{Key+}?uploads"},input:{type:"structure",required:["Bucket","Key"],members:{ACL:{location:"header",locationName:"x-amz-acl"},Bucket:{location:"uri",locationName:"Bucket"},CacheControl:{location:"header",locationName:"Cache-Control"},ContentDisposition:{location:"header",locationName:"Content-Disposition"},ContentEncoding:{location:"header",locationName:"Content-Encoding"},ContentLanguage:{location:"header",locationName:"Content-Language"},ContentType:{location:"header",locationName:"Content-Type"},Expires:{location:"header",locationName:"Expires",type:"timestamp"},GrantFullControl:{location:"header",locationName:"x-amz-grant-full-control"},GrantRead:{location:"header",locationName:"x-amz-grant-read"},GrantReadACP:{location:"header",locationName:"x-amz-grant-read-acp"},GrantWriteACP:{location:"header",locationName:"x-amz-grant-write-acp"},Key:{location:"uri",locationName:"Key"},Metadata:{shape:"S11",location:"headers",locationName:"x-amz-meta-"},ServerSideEncryption:{location:"header",locationName:"x-amz-server-side-encryption"},StorageClass:{location:"header",locationName:"x-amz-storage-class"},WebsiteRedirectLocation:{location:"header",locationName:"x-amz-website-redirect-location"},SSECustomerAlgorithm:{location:"header",locationName:"x-amz-server-side-encryption-customer-algorithm"},SSECustomerKey:{shape:"S19",location:"header",locationName:"x-amz-server-side-encryption-customer-key"},SSECustomerKeyMD5:{location:"header",locationName:"x-amz-server-side-encryption-customer-key-MD5"},SSEKMSKeyId:{shape:"Sj",location:"header",locationName:"x-amz-server-side-encryption-aws-kms-key-id"},SSEKMSEncryptionContext:{shape:"S1b",location:"header",locationName:"x-amz-server-side-encryption-context"},RequestPayer:{location:"header",locationName:"x-amz-request-payer"},Tagging:{location:"header",locationName:"x-amz-tagging"},ObjectLockMode:{location:"header",locationName:"x-amz-object-lock-mode"},ObjectLockRetainUntilDate:{shape:"S1h",location:"header",locationName:"x-amz-object-lock-retain-until-date"},ObjectLockLegalHoldStatus:{location:"header",locationName:"x-amz-object-lock-legal-hold"}}},output:{type:"structure",members:{AbortDate:{location:"header",locationName:"x-amz-abort-date",type:"timestamp"},AbortRuleId:{location:"header",locationName:"x-amz-abort-rule-id"},Bucket:{locationName:"Bucket"},Key:{},UploadId:{},ServerSideEncryption:{location:"header",
-locationName:"x-amz-server-side-encryption"},SSECustomerAlgorithm:{location:"header",locationName:"x-amz-server-side-encryption-customer-algorithm"},SSECustomerKeyMD5:{location:"header",locationName:"x-amz-server-side-encryption-customer-key-MD5"},SSEKMSKeyId:{shape:"Sj",location:"header",locationName:"x-amz-server-side-encryption-aws-kms-key-id"},SSEKMSEncryptionContext:{shape:"S1b",location:"header",locationName:"x-amz-server-side-encryption-context"},RequestCharged:{location:"header",locationName:"x-amz-request-charged"}}},alias:"InitiateMultipartUpload"},DeleteBucket:{http:{method:"DELETE",requestUri:"/{Bucket}",responseCode:204},input:{type:"structure",required:["Bucket"],members:{Bucket:{location:"uri",locationName:"Bucket"}}}},DeleteBucketAnalyticsConfiguration:{http:{method:"DELETE",requestUri:"/{Bucket}?analytics",responseCode:204},input:{type:"structure",required:["Bucket","Id"],members:{Bucket:{location:"uri",locationName:"Bucket"},Id:{location:"querystring",locationName:"id"}}}},DeleteBucketCors:{http:{method:"DELETE",requestUri:"/{Bucket}?cors",responseCode:204},input:{type:"structure",required:["Bucket"],members:{Bucket:{location:"uri",locationName:"Bucket"}}}},DeleteBucketEncryption:{http:{method:"DELETE",requestUri:"/{Bucket}?encryption",responseCode:204},input:{type:"structure",required:["Bucket"],members:{Bucket:{location:"uri",locationName:"Bucket"}}}},DeleteBucketInventoryConfiguration:{http:{method:"DELETE",requestUri:"/{Bucket}?inventory",responseCode:204},input:{type:"structure",required:["Bucket","Id"],members:{Bucket:{location:"uri",locationName:"Bucket"},Id:{location:"querystring",locationName:"id"}}}},DeleteBucketLifecycle:{http:{method:"DELETE",requestUri:"/{Bucket}?lifecycle",responseCode:204},input:{type:"structure",required:["Bucket"],members:{Bucket:{location:"uri",locationName:"Bucket"}}}},DeleteBucketMetricsConfiguration:{http:{method:"DELETE",requestUri:"/{Bucket}?metrics",responseCode:204},input:{type:"structure",required:["Bucket","Id"],members:{Bucket:{location:"uri",locationName:"Bucket"},Id:{location:"querystring",locationName:"id"}}}},DeleteBucketPolicy:{http:{method:"DELETE",requestUri:"/{Bucket}?policy",responseCode:204},input:{type:"structure",required:["Bucket"],members:{Bucket:{location:"uri",locationName:"Bucket"}}}},DeleteBucketReplication:{http:{method:"DELETE",requestUri:"/{Bucket}?replication",responseCode:204},input:{type:"structure",required:["Bucket"],members:{Bucket:{location:"uri",locationName:"Bucket"}}}},DeleteBucketTagging:{http:{method:"DELETE",requestUri:"/{Bucket}?tagging",responseCode:204},input:{type:"structure",required:["Bucket"],members:{Bucket:{location:"uri",locationName:"Bucket"}}}},DeleteBucketWebsite:{http:{method:"DELETE",requestUri:"/{Bucket}?website",responseCode:204},input:{type:"structure",required:["Bucket"],members:{Bucket:{location:"uri",locationName:"Bucket"}}}},DeleteObject:{http:{method:"DELETE",requestUri:"/{Bucket}/{Key+}",responseCode:204},input:{type:"structure",required:["Bucket","Key"],members:{Bucket:{location:"uri",locationName:"Bucket"},Key:{location:"uri",locationName:"Key"},MFA:{location:"header",locationName:"x-amz-mfa"},VersionId:{location:"querystring",locationName:"versionId"},RequestPayer:{location:"header",locationName:"x-amz-request-payer"},BypassGovernanceRetention:{location:"header",locationName:"x-amz-bypass-governance-retention",type:"boolean"}}},output:{type:"structure",members:{DeleteMarker:{location:"header",locationName:"x-amz-delete-marker",type:"boolean"},VersionId:{location:"header",locationName:"x-amz-version-id"},RequestCharged:{location:"header",locationName:"x-amz-request-charged"}}}},DeleteObjectTagging:{http:{method:"DELETE",requestUri:"/{Bucket}/{Key+}?tagging",responseCode:204},input:{type:"structure",required:["Bucket","Key"],members:{Bucket:{location:"uri",locationName:"Bucket"},Key:{location:"uri",locationName:"Key"},VersionId:{location:"querystring",locationName:"versionId"}}},output:{type:"structure",members:{VersionId:{location:"header",locationName:"x-amz-version-id"}}}},DeleteObjects:{http:{requestUri:"/{Bucket}?delete"},input:{type:"structure",required:["Bucket","Delete"],members:{Bucket:{location:"uri",locationName:"Bucket"},Delete:{locationName:"Delete",xmlNamespace:{uri:"http://s3.amazonaws.com/doc/2006-03-01/"},type:"structure",required:["Objects"],members:{Objects:{locationName:"Object",type:"list",member:{type:"structure",required:["Key"],members:{Key:{},VersionId:{}}},flattened:!0},Quiet:{type:"boolean"}}},MFA:{location:"header",locationName:"x-amz-mfa"},RequestPayer:{location:"header",locationName:"x-amz-request-payer"},BypassGovernanceRetention:{location:"header",locationName:"x-amz-bypass-governance-retention",type:"boolean"}},payload:"Delete"},output:{type:"structure",members:{Deleted:{type:"list",member:{type:"structure",members:{Key:{},VersionId:{},DeleteMarker:{type:"boolean"},DeleteMarkerVersionId:{}}},flattened:!0},RequestCharged:{location:"header",locationName:"x-amz-request-charged"},Errors:{locationName:"Error",type:"list",member:{type:"structure",members:{Key:{},VersionId:{},Code:{},Message:{}}},flattened:!0}}},alias:"DeleteMultipleObjects"},DeletePublicAccessBlock:{http:{method:"DELETE",requestUri:"/{Bucket}?publicAccessBlock",responseCode:204},input:{type:"structure",required:["Bucket"],members:{Bucket:{location:"uri",locationName:"Bucket"}}}},GetBucketAccelerateConfiguration:{http:{method:"GET",requestUri:"/{Bucket}?accelerate"},input:{type:"structure",required:["Bucket"],members:{Bucket:{location:"uri",locationName:"Bucket"}}},output:{type:"structure",members:{Status:{}}}},GetBucketAcl:{http:{method:"GET",requestUri:"/{Bucket}?acl"},input:{type:"structure",required:["Bucket"],members:{Bucket:{location:"uri",locationName:"Bucket"}}},output:{type:"structure",members:{Owner:{shape:"S32"},Grants:{shape:"S35",locationName:"AccessControlList"}}}},GetBucketAnalyticsConfiguration:{http:{method:"GET",requestUri:"/{Bucket}?analytics"},input:{type:"structure",required:["Bucket","Id"],members:{Bucket:{location:"uri",locationName:"Bucket"},Id:{location:"querystring",locationName:"id"}}},output:{type:"structure",members:{AnalyticsConfiguration:{shape:"S3e"}},payload:"AnalyticsConfiguration"}},GetBucketCors:{http:{method:"GET",requestUri:"/{Bucket}?cors"},input:{type:"structure",required:["Bucket"],members:{Bucket:{location:"uri",locationName:"Bucket"}}},output:{type:"structure",members:{CORSRules:{shape:"S3u",locationName:"CORSRule"}}}},GetBucketEncryption:{http:{method:"GET",requestUri:"/{Bucket}?encryption"},input:{type:"structure",required:["Bucket"],members:{Bucket:{location:"uri",locationName:"Bucket"}}},output:{type:"structure",members:{ServerSideEncryptionConfiguration:{shape:"S47"}},payload:"ServerSideEncryptionConfiguration"}},GetBucketInventoryConfiguration:{http:{method:"GET",requestUri:"/{Bucket}?inventory"},input:{type:"structure",required:["Bucket","Id"],members:{Bucket:{location:"uri",locationName:"Bucket"},Id:{location:"querystring",locationName:"id"}}},output:{type:"structure",members:{InventoryConfiguration:{shape:"S4d"}},payload:"InventoryConfiguration"}},GetBucketLifecycle:{http:{method:"GET",requestUri:"/{Bucket}?lifecycle"},input:{type:"structure",required:["Bucket"],members:{Bucket:{location:"uri",locationName:"Bucket"}}},output:{type:"structure",members:{Rules:{shape:"S4t",locationName:"Rule"}}},deprecated:!0},GetBucketLifecycleConfiguration:{http:{method:"GET",requestUri:"/{Bucket}?lifecycle"},input:{type:"structure",required:["Bucket"],members:{Bucket:{location:"uri",locationName:"Bucket"}}},output:{type:"structure",members:{Rules:{shape:"S58",locationName:"Rule"}}}},GetBucketLocation:{http:{method:"GET",requestUri:"/{Bucket}?location"},input:{type:"structure",required:["Bucket"],members:{Bucket:{location:"uri",locationName:"Bucket"}}},output:{type:"structure",members:{LocationConstraint:{}}}},GetBucketLogging:{http:{method:"GET",requestUri:"/{Bucket}?logging"},input:{type:"structure",required:["Bucket"],members:{Bucket:{location:"uri",locationName:"Bucket"}}},output:{type:"structure",members:{LoggingEnabled:{shape:"S5i"}}}},GetBucketMetricsConfiguration:{http:{method:"GET",requestUri:"/{Bucket}?metrics"},input:{type:"structure",required:["Bucket","Id"],members:{Bucket:{location:"uri",locationName:"Bucket"},Id:{location:"querystring",locationName:"id"}}},output:{type:"structure",members:{MetricsConfiguration:{shape:"S5q"}},payload:"MetricsConfiguration"}},GetBucketNotification:{http:{method:"GET",requestUri:"/{Bucket}?notification"},input:{shape:"S5t"},output:{shape:"S5u"},deprecated:!0},GetBucketNotificationConfiguration:{http:{method:"GET",requestUri:"/{Bucket}?notification"},input:{shape:"S5t"},output:{shape:"S65"}},GetBucketPolicy:{http:{method:"GET",requestUri:"/{Bucket}?policy"},input:{type:"structure",required:["Bucket"],members:{Bucket:{location:"uri",locationName:"Bucket"}}},output:{type:"structure",members:{Policy:{}},payload:"Policy"}},GetBucketPolicyStatus:{http:{method:"GET",requestUri:"/{Bucket}?policyStatus"},input:{type:"structure",required:["Bucket"],members:{Bucket:{location:"uri",locationName:"Bucket"}}},output:{type:"structure",members:{PolicyStatus:{type:"structure",members:{IsPublic:{locationName:"IsPublic",type:"boolean"}}}},payload:"PolicyStatus"}},GetBucketReplication:{http:{method:"GET",requestUri:"/{Bucket}?replication"},input:{type:"structure",required:["Bucket"],members:{Bucket:{location:"uri",locationName:"Bucket"}}},output:{type:"structure",members:{ReplicationConfiguration:{shape:"S6s"}},payload:"ReplicationConfiguration"}},GetBucketRequestPayment:{http:{method:"GET",requestUri:"/{Bucket}?requestPayment"},input:{type:"structure",required:["Bucket"],members:{Bucket:{location:"uri",locationName:"Bucket"}}},output:{type:"structure",members:{Payer:{}}}},GetBucketTagging:{http:{method:"GET",requestUri:"/{Bucket}?tagging"},input:{type:"structure",required:["Bucket"],members:{Bucket:{location:"uri",locationName:"Bucket"}}},output:{type:"structure",required:["TagSet"],members:{TagSet:{shape:"S3k"}}}},GetBucketVersioning:{http:{method:"GET",requestUri:"/{Bucket}?versioning"},input:{type:"structure",required:["Bucket"],members:{Bucket:{location:"uri",locationName:"Bucket"}}},output:{type:"structure",members:{Status:{},MFADelete:{locationName:"MfaDelete"}}}},GetBucketWebsite:{http:{method:"GET",requestUri:"/{Bucket}?website"},input:{type:"structure",required:["Bucket"],members:{Bucket:{location:"uri",locationName:"Bucket"}}},output:{type:"structure",members:{RedirectAllRequestsTo:{shape:"S7t"},IndexDocument:{shape:"S7w"},ErrorDocument:{shape:"S7y"},RoutingRules:{shape:"S7z"}}}},GetObject:{http:{method:"GET",requestUri:"/{Bucket}/{Key+}"},input:{type:"structure",required:["Bucket","Key"],members:{Bucket:{location:"uri",locationName:"Bucket"},IfMatch:{location:"header",locationName:"If-Match"},IfModifiedSince:{location:"header",locationName:"If-Modified-Since",type:"timestamp"},IfNoneMatch:{location:"header",locationName:"If-None-Match"},IfUnmodifiedSince:{location:"header",locationName:"If-Unmodified-Since",type:"timestamp"},Key:{location:"uri",locationName:"Key"},Range:{location:"header",locationName:"Range"},ResponseCacheControl:{location:"querystring",locationName:"response-cache-control"},ResponseContentDisposition:{location:"querystring",locationName:"response-content-disposition"},ResponseContentEncoding:{location:"querystring",locationName:"response-content-encoding"},ResponseContentLanguage:{location:"querystring",locationName:"response-content-language"},ResponseContentType:{location:"querystring",locationName:"response-content-type"},ResponseExpires:{location:"querystring",locationName:"response-expires",type:"timestamp"},VersionId:{location:"querystring",locationName:"versionId"},SSECustomerAlgorithm:{location:"header",locationName:"x-amz-server-side-encryption-customer-algorithm"},SSECustomerKey:{shape:"S19",location:"header",locationName:"x-amz-server-side-encryption-customer-key"},SSECustomerKeyMD5:{location:"header",locationName:"x-amz-server-side-encryption-customer-key-MD5"},RequestPayer:{location:"header",locationName:"x-amz-request-payer"},PartNumber:{location:"querystring",locationName:"partNumber",type:"integer"}}},output:{type:"structure",members:{Body:{streaming:!0,type:"blob"},DeleteMarker:{location:"header",locationName:"x-amz-delete-marker",type:"boolean"},AcceptRanges:{location:"header",locationName:"accept-ranges"},Expiration:{location:"header",locationName:"x-amz-expiration"},Restore:{location:"header",locationName:"x-amz-restore"},LastModified:{location:"header",locationName:"Last-Modified",type:"timestamp"},ContentLength:{location:"header",locationName:"Content-Length",type:"long"},ETag:{location:"header",locationName:"ETag"},MissingMeta:{location:"header",locationName:"x-amz-missing-meta",type:"integer"},VersionId:{location:"header",locationName:"x-amz-version-id"},CacheControl:{location:"header",locationName:"Cache-Control"},ContentDisposition:{location:"header",locationName:"Content-Disposition"},ContentEncoding:{location:"header",locationName:"Content-Encoding"},ContentLanguage:{location:"header",locationName:"Content-Language"},ContentRange:{location:"header",locationName:"Content-Range"},ContentType:{location:"header",locationName:"Content-Type"},Expires:{location:"header",locationName:"Expires",type:"timestamp"},WebsiteRedirectLocation:{location:"header",locationName:"x-amz-website-redirect-location"},ServerSideEncryption:{location:"header",locationName:"x-amz-server-side-encryption"},Metadata:{shape:"S11",location:"headers",locationName:"x-amz-meta-"},SSECustomerAlgorithm:{location:"header",locationName:"x-amz-server-side-encryption-customer-algorithm"},SSECustomerKeyMD5:{location:"header",locationName:"x-amz-server-side-encryption-customer-key-MD5"},SSEKMSKeyId:{shape:"Sj",location:"header",locationName:"x-amz-server-side-encryption-aws-kms-key-id"},StorageClass:{location:"header",locationName:"x-amz-storage-class"},RequestCharged:{location:"header",locationName:"x-amz-request-charged"},ReplicationStatus:{location:"header",locationName:"x-amz-replication-status"},PartsCount:{location:"header",locationName:"x-amz-mp-parts-count",type:"integer"},TagCount:{location:"header",locationName:"x-amz-tagging-count",type:"integer"},ObjectLockMode:{location:"header",locationName:"x-amz-object-lock-mode"},ObjectLockRetainUntilDate:{shape:"S1h",location:"header",locationName:"x-amz-object-lock-retain-until-date"},ObjectLockLegalHoldStatus:{location:"header",locationName:"x-amz-object-lock-legal-hold"}},payload:"Body"}},GetObjectAcl:{http:{method:"GET",requestUri:"/{Bucket}/{Key+}?acl"},input:{type:"structure",required:["Bucket","Key"],members:{Bucket:{location:"uri",locationName:"Bucket"},Key:{location:"uri",locationName:"Key"},VersionId:{location:"querystring",locationName:"versionId"},RequestPayer:{location:"header",locationName:"x-amz-request-payer"}}},output:{type:"structure",members:{Owner:{shape:"S32"},Grants:{shape:"S35",locationName:"AccessControlList"},RequestCharged:{location:"header",locationName:"x-amz-request-charged"}}}},GetObjectLegalHold:{http:{method:"GET",requestUri:"/{Bucket}/{Key+}?legal-hold"},input:{type:"structure",required:["Bucket","Key"],members:{Bucket:{location:"uri",locationName:"Bucket"},Key:{location:"uri",locationName:"Key"},VersionId:{location:"querystring",locationName:"versionId"},RequestPayer:{location:"header",locationName:"x-amz-request-payer"}}},output:{type:"structure",members:{LegalHold:{shape:"S8y"}},payload:"LegalHold"}},GetObjectLockConfiguration:{http:{method:"GET",requestUri:"/{Bucket}?object-lock"},input:{type:"structure",required:["Bucket"],members:{Bucket:{location:"uri",locationName:"Bucket"}}},output:{type:"structure",members:{ObjectLockConfiguration:{shape:"S91"}},payload:"ObjectLockConfiguration"}},GetObjectRetention:{http:{method:"GET",requestUri:"/{Bucket}/{Key+}?retention"},input:{type:"structure",required:["Bucket","Key"],members:{Bucket:{location:"uri",locationName:"Bucket"},Key:{location:"uri",locationName:"Key"},VersionId:{location:"querystring",locationName:"versionId"},RequestPayer:{location:"header",locationName:"x-amz-request-payer"}}},output:{type:"structure",members:{Retention:{shape:"S99"}},payload:"Retention"}},GetObjectTagging:{http:{method:"GET",requestUri:"/{Bucket}/{Key+}?tagging"},input:{type:"structure",required:["Bucket","Key"],members:{Bucket:{location:"uri",locationName:"Bucket"},Key:{location:"uri",locationName:"Key"},VersionId:{location:"querystring",locationName:"versionId"}}},output:{type:"structure",required:["TagSet"],members:{VersionId:{location:"header",locationName:"x-amz-version-id"},TagSet:{shape:"S3k"}}}},GetObjectTorrent:{http:{method:"GET",requestUri:"/{Bucket}/{Key+}?torrent"},input:{type:"structure",required:["Bucket","Key"],members:{Bucket:{location:"uri",locationName:"Bucket"},Key:{location:"uri",locationName:"Key"},RequestPayer:{location:"header",locationName:"x-amz-request-payer"}}},output:{type:"structure",members:{Body:{streaming:!0,type:"blob"},RequestCharged:{location:"header",locationName:"x-amz-request-charged"}},payload:"Body"}},GetPublicAccessBlock:{http:{method:"GET",requestUri:"/{Bucket}?publicAccessBlock"},input:{type:"structure",required:["Bucket"],members:{Bucket:{location:"uri",locationName:"Bucket"}}},output:{type:"structure",members:{PublicAccessBlockConfiguration:{shape:"S9g"}},payload:"PublicAccessBlockConfiguration"}},HeadBucket:{http:{method:"HEAD",requestUri:"/{Bucket}"},input:{type:"structure",required:["Bucket"],members:{Bucket:{location:"uri",locationName:"Bucket"}}}},HeadObject:{http:{method:"HEAD",requestUri:"/{Bucket}/{Key+}"},input:{type:"structure",required:["Bucket","Key"],members:{Bucket:{location:"uri",locationName:"Bucket"},IfMatch:{location:"header",locationName:"If-Match"},IfModifiedSince:{location:"header",locationName:"If-Modified-Since",type:"timestamp"},IfNoneMatch:{location:"header",locationName:"If-None-Match"},IfUnmodifiedSince:{location:"header",locationName:"If-Unmodified-Since",type:"timestamp"},Key:{location:"uri",locationName:"Key"},Range:{location:"header",locationName:"Range"},VersionId:{location:"querystring",locationName:"versionId"},SSECustomerAlgorithm:{location:"header",locationName:"x-amz-server-side-encryption-customer-algorithm"},SSECustomerKey:{shape:"S19",location:"header",locationName:"x-amz-server-side-encryption-customer-key"},SSECustomerKeyMD5:{location:"header",locationName:"x-amz-server-side-encryption-customer-key-MD5"},RequestPayer:{location:"header",locationName:"x-amz-request-payer"},PartNumber:{location:"querystring",locationName:"partNumber",type:"integer"}}},output:{type:"structure",members:{DeleteMarker:{location:"header",locationName:"x-amz-delete-marker",type:"boolean"},AcceptRanges:{location:"header",locationName:"accept-ranges"},Expiration:{location:"header",locationName:"x-amz-expiration"},Restore:{location:"header",locationName:"x-amz-restore"},LastModified:{location:"header",locationName:"Last-Modified",type:"timestamp"},ContentLength:{location:"header",locationName:"Content-Length",type:"long"},ETag:{location:"header",locationName:"ETag"},MissingMeta:{location:"header",locationName:"x-amz-missing-meta",type:"integer"},VersionId:{location:"header",locationName:"x-amz-version-id"},CacheControl:{location:"header",locationName:"Cache-Control"},ContentDisposition:{location:"header",locationName:"Content-Disposition"},ContentEncoding:{location:"header",locationName:"Content-Encoding"},ContentLanguage:{location:"header",locationName:"Content-Language"},ContentType:{location:"header",locationName:"Content-Type"},Expires:{location:"header",locationName:"Expires",type:"timestamp"},WebsiteRedirectLocation:{location:"header",locationName:"x-amz-website-redirect-location"},ServerSideEncryption:{location:"header",locationName:"x-amz-server-side-encryption"},Metadata:{shape:"S11",location:"headers",locationName:"x-amz-meta-"},SSECustomerAlgorithm:{location:"header",locationName:"x-amz-server-side-encryption-customer-algorithm"},SSECustomerKeyMD5:{location:"header",locationName:"x-amz-server-side-encryption-customer-key-MD5"},SSEKMSKeyId:{shape:"Sj",location:"header",locationName:"x-amz-server-side-encryption-aws-kms-key-id"},StorageClass:{location:"header",locationName:"x-amz-storage-class"},RequestCharged:{location:"header",locationName:"x-amz-request-charged"},ReplicationStatus:{location:"header",locationName:"x-amz-replication-status"},PartsCount:{location:"header",locationName:"x-amz-mp-parts-count",type:"integer"},ObjectLockMode:{location:"header",locationName:"x-amz-object-lock-mode"},ObjectLockRetainUntilDate:{shape:"S1h",location:"header",locationName:"x-amz-object-lock-retain-until-date"},ObjectLockLegalHoldStatus:{location:"header",locationName:"x-amz-object-lock-legal-hold"}}}},ListBucketAnalyticsConfigurations:{http:{method:"GET",requestUri:"/{Bucket}?analytics"},input:{type:"structure",required:["Bucket"],members:{Bucket:{location:"uri",locationName:"Bucket"},ContinuationToken:{location:"querystring",locationName:"continuation-token"}}},output:{type:"structure",members:{IsTruncated:{type:"boolean"},ContinuationToken:{},NextContinuationToken:{},AnalyticsConfigurationList:{locationName:"AnalyticsConfiguration",type:"list",member:{shape:"S3e"},flattened:!0}}}},ListBucketInventoryConfigurations:{http:{method:"GET",requestUri:"/{Bucket}?inventory"},input:{type:"structure",required:["Bucket"],members:{Bucket:{location:"uri",locationName:"Bucket"},ContinuationToken:{location:"querystring",locationName:"continuation-token"}}},output:{type:"structure",members:{ContinuationToken:{},InventoryConfigurationList:{locationName:"InventoryConfiguration",type:"list",member:{shape:"S4d"},flattened:!0},IsTruncated:{type:"boolean"},NextContinuationToken:{}}}},ListBucketMetricsConfigurations:{http:{method:"GET",requestUri:"/{Bucket}?metrics"},input:{type:"structure",required:["Bucket"],members:{Bucket:{location:"uri",locationName:"Bucket"},ContinuationToken:{location:"querystring",locationName:"continuation-token"}}},output:{type:"structure",members:{IsTruncated:{type:"boolean"},ContinuationToken:{},NextContinuationToken:{},MetricsConfigurationList:{locationName:"MetricsConfiguration",type:"list",member:{shape:"S5q"},flattened:!0}}}},ListBuckets:{http:{method:"GET"},output:{type:"structure",members:{Buckets:{type:"list",member:{locationName:"Bucket",type:"structure",members:{Name:{},CreationDate:{type:"timestamp"}}}},Owner:{shape:"S32"}}},alias:"GetService"},ListMultipartUploads:{http:{method:"GET",requestUri:"/{Bucket}?uploads"},input:{type:"structure",required:["Bucket"],members:{Bucket:{location:"uri",locationName:"Bucket"},Delimiter:{location:"querystring",locationName:"delimiter"},EncodingType:{location:"querystring",locationName:"encoding-type"},KeyMarker:{location:"querystring",locationName:"key-marker"},MaxUploads:{location:"querystring",locationName:"max-uploads",type:"integer"},Prefix:{location:"querystring",locationName:"prefix"},UploadIdMarker:{location:"querystring",locationName:"upload-id-marker"}}},output:{type:"structure",members:{Bucket:{},KeyMarker:{},UploadIdMarker:{},NextKeyMarker:{},Prefix:{},Delimiter:{},NextUploadIdMarker:{},MaxUploads:{type:"integer"},IsTruncated:{type:"boolean"},Uploads:{locationName:"Upload",type:"list",member:{type:"structure",members:{UploadId:{},Key:{},Initiated:{type:"timestamp"},StorageClass:{},Owner:{shape:"S32"},Initiator:{shape:"Sad"}}},flattened:!0},CommonPrefixes:{shape:"Sae"},EncodingType:{}}}},ListObjectVersions:{http:{method:"GET",requestUri:"/{Bucket}?versions"},input:{type:"structure",required:["Bucket"],members:{Bucket:{location:"uri",locationName:"Bucket"},Delimiter:{location:"querystring",locationName:"delimiter"},EncodingType:{location:"querystring",locationName:"encoding-type"},KeyMarker:{location:"querystring",locationName:"key-marker"},MaxKeys:{location:"querystring",locationName:"max-keys",type:"integer"},Prefix:{location:"querystring",locationName:"prefix"},VersionIdMarker:{location:"querystring",locationName:"version-id-marker"}}},output:{type:"structure",members:{IsTruncated:{type:"boolean"},KeyMarker:{},VersionIdMarker:{},NextKeyMarker:{},NextVersionIdMarker:{},Versions:{locationName:"Version",type:"list",member:{type:"structure",members:{ETag:{},Size:{type:"integer"},StorageClass:{},Key:{},VersionId:{},IsLatest:{type:"boolean"},LastModified:{type:"timestamp"},Owner:{shape:"S32"}}},flattened:!0},DeleteMarkers:{locationName:"DeleteMarker",type:"list",member:{type:"structure",members:{Owner:{shape:"S32"},Key:{},VersionId:{},IsLatest:{type:"boolean"},LastModified:{type:"timestamp"}}},flattened:!0},Name:{},Prefix:{},Delimiter:{},MaxKeys:{type:"integer"},CommonPrefixes:{shape:"Sae"},EncodingType:{}}},alias:"GetBucketObjectVersions"},ListObjects:{http:{method:"GET",requestUri:"/{Bucket}"},input:{type:"structure",required:["Bucket"],members:{Bucket:{location:"uri",locationName:"Bucket"},Delimiter:{location:"querystring",locationName:"delimiter"},EncodingType:{location:"querystring",locationName:"encoding-type"},Marker:{location:"querystring",locationName:"marker"},MaxKeys:{location:"querystring",locationName:"max-keys",type:"integer"},Prefix:{location:"querystring",locationName:"prefix"},RequestPayer:{location:"header",locationName:"x-amz-request-payer"}}},output:{type:"structure",members:{IsTruncated:{type:"boolean"},Marker:{},NextMarker:{},Contents:{shape:"Saw"},Name:{},Prefix:{},Delimiter:{},MaxKeys:{type:"integer"},CommonPrefixes:{shape:"Sae"},EncodingType:{}}},alias:"GetBucket"},ListObjectsV2:{http:{method:"GET",requestUri:"/{Bucket}?list-type=2"},input:{type:"structure",required:["Bucket"],members:{Bucket:{location:"uri",locationName:"Bucket"},Delimiter:{location:"querystring",locationName:"delimiter"},EncodingType:{location:"querystring",locationName:"encoding-type"},MaxKeys:{location:"querystring",locationName:"max-keys",type:"integer"},Prefix:{location:"querystring",locationName:"prefix"},ContinuationToken:{location:"querystring",locationName:"continuation-token"},FetchOwner:{location:"querystring",locationName:"fetch-owner",type:"boolean"},StartAfter:{location:"querystring",locationName:"start-after"},RequestPayer:{location:"header",locationName:"x-amz-request-payer"}}},output:{type:"structure",members:{IsTruncated:{type:"boolean"},Contents:{shape:"Saw"},Name:{},Prefix:{},Delimiter:{},MaxKeys:{type:"integer"},CommonPrefixes:{shape:"Sae"},EncodingType:{},KeyCount:{type:"integer"},ContinuationToken:{},NextContinuationToken:{},StartAfter:{}}}},ListParts:{http:{method:"GET",requestUri:"/{Bucket}/{Key+}"},input:{type:"structure",required:["Bucket","Key","UploadId"],members:{Bucket:{location:"uri",locationName:"Bucket"},Key:{location:"uri",locationName:"Key"},MaxParts:{location:"querystring",locationName:"max-parts",type:"integer"},PartNumberMarker:{location:"querystring",locationName:"part-number-marker",type:"integer"},UploadId:{location:"querystring",locationName:"uploadId"},RequestPayer:{location:"header",locationName:"x-amz-request-payer"}}},output:{type:"structure",members:{AbortDate:{location:"header",locationName:"x-amz-abort-date",type:"timestamp"},AbortRuleId:{location:"header",locationName:"x-amz-abort-rule-id"},Bucket:{},Key:{},UploadId:{},PartNumberMarker:{type:"integer"},NextPartNumberMarker:{type:"integer"},MaxParts:{type:"integer"},IsTruncated:{type:"boolean"},Parts:{locationName:"Part",type:"list",member:{type:"structure",members:{PartNumber:{type:"integer"},LastModified:{type:"timestamp"},ETag:{},Size:{type:"integer"}}},flattened:!0},Initiator:{shape:"Sad"},Owner:{shape:"S32"},StorageClass:{},RequestCharged:{location:"header",locationName:"x-amz-request-charged"}}}},PutBucketAccelerateConfiguration:{http:{method:"PUT",requestUri:"/{Bucket}?accelerate"},input:{type:"structure",required:["Bucket","AccelerateConfiguration"],members:{Bucket:{location:"uri",locationName:"Bucket"},AccelerateConfiguration:{locationName:"AccelerateConfiguration",xmlNamespace:{uri:"http://s3.amazonaws.com/doc/2006-03-01/"},type:"structure",members:{Status:{}}}},payload:"AccelerateConfiguration"}},PutBucketAcl:{http:{method:"PUT",requestUri:"/{Bucket}?acl"},input:{type:"structure",required:["Bucket"],members:{ACL:{location:"header",locationName:"x-amz-acl"},AccessControlPolicy:{shape:"Sbe",locationName:"AccessControlPolicy",xmlNamespace:{uri:"http://s3.amazonaws.com/doc/2006-03-01/"}},Bucket:{location:"uri",locationName:"Bucket"},ContentMD5:{location:"header",locationName:"Content-MD5"},GrantFullControl:{location:"header",locationName:"x-amz-grant-full-control"},GrantRead:{location:"header",locationName:"x-amz-grant-read"},GrantReadACP:{location:"header",locationName:"x-amz-grant-read-acp"},GrantWrite:{location:"header",locationName:"x-amz-grant-write"},GrantWriteACP:{location:"header",locationName:"x-amz-grant-write-acp"}},payload:"AccessControlPolicy"}},PutBucketAnalyticsConfiguration:{http:{method:"PUT",requestUri:"/{Bucket}?analytics"},input:{type:"structure",required:["Bucket","Id","AnalyticsConfiguration"],members:{Bucket:{location:"uri",locationName:"Bucket"},Id:{location:"querystring",locationName:"id"},AnalyticsConfiguration:{shape:"S3e",locationName:"AnalyticsConfiguration",xmlNamespace:{uri:"http://s3.amazonaws.com/doc/2006-03-01/"}}},payload:"AnalyticsConfiguration"}},PutBucketCors:{http:{method:"PUT",requestUri:"/{Bucket}?cors"},input:{type:"structure",required:["Bucket","CORSConfiguration"],members:{Bucket:{location:"uri",locationName:"Bucket"},CORSConfiguration:{locationName:"CORSConfiguration",xmlNamespace:{uri:"http://s3.amazonaws.com/doc/2006-03-01/"},type:"structure",required:["CORSRules"],members:{CORSRules:{shape:"S3u",locationName:"CORSRule"}}},ContentMD5:{location:"header",locationName:"Content-MD5"}},payload:"CORSConfiguration"}},PutBucketEncryption:{http:{method:"PUT",requestUri:"/{Bucket}?encryption"},input:{type:"structure",required:["Bucket","ServerSideEncryptionConfigurati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-members:{LoggingEnabled:{shape:"S5i"}}},ContentMD5:{location:"header",locationName:"Content-MD5"}},payload:"BucketLoggingStatus"}},PutBucketMetricsConfiguration:{http:{method:"PUT",requestUri:"/{Bucket}?metrics"},input:{type:"structure",required:["Bucket","Id","MetricsConfiguration"],members:{Bucket:{location:"uri",locationName:"Bucket"},Id:{location:"querystring",locationName:"id"},MetricsConfiguration:{shape:"S5q",locationName:"MetricsConfiguration",xmlNamespace:{uri:"http://s3.amazonaws.com/doc/2006-03-01/"}}},payload:"MetricsConfiguration"}},PutBucketNotification:{http:{method:"PUT",requestUri:"/{Bucket}?notification"},input:{type:"structure",required:["Bucket","NotificationConfiguration"],members:{Bucket:{location:"uri",locationName:"Bucket"},ContentMD5:{location:"header",locationName:"Content-MD5"},NotificationConfiguration:{shape:"S5u",locationName:"NotificationConfiguration",xmlNamespace:{uri:"http://s3.amazonaws.com/doc/2006-03-01/"}}},payload:"NotificationConfiguration"},deprecated:!0},PutBucketNotificationConfiguration:{http:{method:"PUT",requestUri:"/{Bucket}?notification"},input:{type:"structure",required:["Bucket","NotificationConfiguration"],members:{Bucket:{location:"uri",locationName:"Bucket"},NotificationConfiguration:{shape:"S65",locationName:"NotificationConfiguration",xmlNamespace:{uri:"http://s3.amazonaws.com/doc/2006-03-01/"}}},payload:"NotificationConfiguration"}},PutBucketPolicy:{http:{method:"PUT",requestUri:"/{Bucket}?policy"},input:{type:"structure",required:["Bucket","Policy"],members:{Bucket:{location:"uri",locationName:"Bucket"},ContentMD5:{location:"header",locationName:"Content-MD5"},ConfirmRemoveSelfBucketAccess:{location:"header",locationName:"x-amz-confirm-remove-self-bucket-access",type:"boolean"},Policy:{}},payload:"Policy"}},PutBucketReplication:{http:{method:"PUT",requestUri:"/{Bucket}?replication"},input:{type:"structure",required:["Bucket","ReplicationConfiguration"],members:{Bucket:{location:"uri",locationName:"Bucket"},ContentMD5:{location:"header",locationName:"Content-MD5"},ReplicationConfiguration:{shape:"S6s",locationName:"ReplicationConfiguration",xmlNamespace:{uri:"http://s3.amazonaws.com/doc/2006-03-01/"}},Token:{location:"header",locationName:"x-amz-bucket-object-lock-token"}},payload:"ReplicationConfiguration"}},PutBucketRequestPayment:{http:{method:"PUT",requestUri:"/{Bucket}?requestPayment"},input:{type:"structure",required:["Bucket","RequestPaymentConfiguration"],members:{Bucket:{location:"uri",locationName:"Bucket"},ContentMD5:{location:"header",locationName:"Content-MD5"},RequestPaymentConfiguration:{locationName:"RequestPaymentConfiguration",xmlNamespace:{uri:"http://s3.amazonaws.com/doc/2006-03-01/"},type:"structure",required:["Payer"],members:{Payer:{}}}},payload:"RequestPaymentConfiguration"}},PutBucketTagging:{http:{method:"PUT",requestUri:"/{Bucket}?tagging"},input:{type:"structure",required:["Bucket","Tagging"],members:{Bucket:{location:"uri",locationName:"Bucket"},ContentMD5:{location:"header",locationName:"Content-MD5"},Tagging:{shape:"Sc1",locationName:"Tagging",xmlNamespace:{uri:"http://s3.amazonaws.com/doc/2006-03-01/"}}},payload:"Tagging"}},PutBucketVersioning:{http:{method:"PUT",requestUri:"/{Bucket}?versioning"},input:{type:"structure",required:["Bucket","VersioningConfiguration"],members:{Bucket:{location:"uri",locationName:"Bucket"},ContentMD5:{location:"header",locationName:"Content-MD5"},MFA:{location:"header",locationName:"x-amz-mfa"},VersioningConfiguration:{locationName:"VersioningConfiguration",xmlNamespace:{uri:"http://s3.amazonaws.com/doc/2006-03-01/"},type:"structure",members:{MFADelete:{locationName:"MfaDelete"},Status:{}}}},payload:"VersioningConfiguration"}},PutBucketWebsite:{http:{method:"PUT",requestUri:"/{Bucket}?website"},input:{type:"structure",required:["Bucket","WebsiteConfiguration"],members:{Bucket:{location:"uri",locationName:"Bucket"},ContentMD5:{location:"header",locationName:"Content-MD5"},WebsiteConfiguration:{locationName:"WebsiteConfiguration",xmlNamespace:{uri:"http://s3.amazonaws.com/doc/2006-03-01/"},type:"structure",members:{ErrorDocument:{shape:"S7y"},IndexDocument:{shape:"S7w"},RedirectAllRequestsTo:{shape:"S7t"},RoutingRules:{shape:"S7z"}}}},payload:"WebsiteConfiguration"}},PutObject:{http:{method:"PUT",requestUri:"/{Bucket}/{Key+}"},input:{type:"structure",required:["Bucket","Key"],members:{ACL:{location:"header",locationName:"x-amz-acl"},Body:{streaming:!0,type:"blob"},Bucket:{location:"uri",locationName:"Bucket"},CacheControl:{location:"header",locationName:"Cache-Control"},ContentDisposition:{location:"header",locationName:"Content-Disposition"},ContentEncoding:{location:"header",locationName:"Content-Encoding"},ContentLanguage:{location:"header",locationName:"Content-Language"},ContentLength:{location:"header",locationName:"Content-Length",type:"long"},ContentMD5:{location:"header",locationName:"Content-MD5"},ContentType:{location:"header",locationName:"Content-Type"},Expires:{location:"header",locationName:"Expires",type:"timestamp"},GrantFullControl:{location:"header",locationName:"x-amz-grant-full-control"},GrantRead:{location:"header",locationName:"x-amz-grant-read"},GrantReadACP:{location:"header",locationName:"x-amz-grant-read-acp"},GrantWriteACP:{location:"header",locationName:"x-amz-grant-write-acp"},Key:{location:"uri",locationName:"Key"},Metadata:{shape:"S11",location:"headers",locationName:"x-amz-meta-"},ServerSideEncryption:{location:"header",locationName:"x-amz-server-side-encryption"},StorageClass:{location:"header",locationName:"x-amz-storage-class"},WebsiteRedirectLocation:{location:"header",locationName:"x-amz-website-redirect-location"},SSECustomerAlgorithm:{location:"header",locationName:"x-amz-server-side-encryption-customer-algorithm"},SSECustomerKey:{shape:"S19",location:"header",locationName:"x-amz-server-side-encryption-customer-key"},SSECustomerKeyMD5:{location:"header",locationName:"x-amz-server-side-encryption-customer-key-MD5"},SSEKMSKeyId:{shape:"Sj",location:"header",locationName:"x-amz-server-side-encryption-aws-kms-key-id"},SSEKMSEncryptionContext:{shape:"S1b",location:"header",locationName:"x-amz-server-side-encryption-context"},RequestPayer:{location:"header",locationName:"x-amz-request-payer"},Tagging:{location:"header",locationName:"x-amz-tagging"},ObjectLockMode:{location:"header",locationName:"x-amz-object-lock-mode"},ObjectLockRetainUntilDate:{shape:"S1h",location:"header",locationName:"x-amz-object-lock-retain-until-date"},ObjectLockLegalHoldStatus:{location:"header",locationName:"x-amz-object-lock-legal-hold"}},payload:"Body"},output:{type:"structure",members:{Expiration:{location:"header",locationName:"x-amz-expiration"},ETag:{location:"header",locationName:"ETag"},ServerSideEncryption:{location:"header",locationName:"x-amz-server-side-encryption"},VersionId:{location:"header",locationName:"x-amz-version-id"},SSECustomerAlgorithm:{location:"header",locationName:"x-amz-server-side-encryption-customer-algorithm"},SSECustomerKeyMD5:{location:"header",locationName:"x-amz-server-side-encryption-customer-key-MD5"},SSEKMSKeyId:{shape:"Sj",location:"header",locationName:"x-amz-server-side-encryption-aws-kms-key-id"},SSEKMSEncryptionContext:{shape:"S1b",location:"header",locationName:"x-amz-server-side-encryption-context"},RequestCharged:{location:"header",locationName:"x-amz-request-charged"}}}},PutObjectAcl:{http:{method:"PUT",requestUri:"/{Bucket}/{Key+}?acl"},input:{type:"structure",required:["Bucket","Key"],members:{ACL:{location:"header",locationName:"x-amz-acl"},AccessControlPolicy:{shape:"Sbe",locationName:"AccessControlPolicy",xmlNamespace:{uri:"http://s3.amazonaws.com/doc/2006-03-01/"}},Bucket:{location:"uri",locationName:"Bucket"},ContentMD5:{location:"header",locationName:"Content-MD5"},GrantFullControl:{location:"header",locationName:"x-amz-grant-full-control"},GrantRead:{location:"header",locationName:"x-amz-grant-read"},GrantReadACP:{location:"header",locationName:"x-amz-grant-read-acp"},GrantWrite:{location:"header",locationName:"x-amz-grant-write"},GrantWriteACP:{location:"header",locationName:"x-amz-grant-write-acp"},Key:{location:"uri",locationName:"Key"},RequestPayer:{location:"header",locationName:"x-amz-request-payer"},VersionId:{location:"querystring",locationName:"versionId"}},payload:"AccessControlPolicy"},output:{type:"structure",members:{RequestCharged:{location:"header",locationName:"x-amz-request-charged"}}}},PutObjectLegalHold:{http:{method:"PUT",requestUri:"/{Bucket}/{Key+}?legal-hold"},input:{type:"structure",required:["Bucket","Key"],members:{Bucket:{location:"uri",locationName:"Bucket"},Key:{location:"uri",locationName:"Key"},LegalHold:{shape:"S8y",locationName:"LegalHold",xmlNamespace:{uri:"http://s3.amazonaws.com/doc/2006-03-01/"}},RequestPayer:{location:"header",locationName:"x-amz-request-payer"},VersionId:{location:"querystring",locationName:"versionId"},ContentMD5:{location:"header",locationName:"Content-MD5"}},payload:"LegalHold"},output:{type:"structure",members:{RequestCharged:{location:"header",locationName:"x-amz-request-charged"}}}},PutObjectLockConfiguration:{http:{method:"PUT",requestUri:"/{Bucket}?object-lock"},input:{type:"structure",required:["Bucket"],members:{Bucket:{location:"uri",locationName:"Bucket"},ObjectLockConfiguration:{shape:"S91",locationName:"ObjectLockConfiguration",xmlNamespace:{uri:"http://s3.amazonaws.com/doc/2006-03-01/"}},RequestPayer:{location:"header",locationName:"x-amz-request-payer"},Token:{location:"header",locationName:"x-amz-bucket-object-lock-token"},ContentMD5:{location:"header",locationName:"Content-MD5"}},payload:"ObjectLockConfiguration"},output:{type:"structure",members:{RequestCharged:{location:"header",locationName:"x-amz-request-charged"}}}},PutObjectRetention:{http:{method:"PUT",requestUri:"/{Bucket}/{Key+}?retention"},input:{type:"structure",required:["Bucket","Key"],members:{Bucket:{location:"uri",locationName:"Bucket"},Key:{location:"uri",locationName:"Key"},Retention:{shape:"S99",locationName:"Retention",xmlNamespace:{uri:"http://s3.amazonaws.com/doc/2006-03-01/"}},RequestPayer:{location:"header",locationName:"x-amz-request-payer"},VersionId:{location:"querystring",locationName:"versionId"},BypassGovernanceRetention:{location:"header",locationName:"x-amz-bypass-governance-retention",type:"boolean"},ContentMD5:{location:"header",locationName:"Content-MD5"}},payload:"Retention"},output:{type:"structure",members:{RequestCharged:{location:"header",locationName:"x-amz-request-charged"}}}},PutObjectTagging:{http:{method:"PUT",requestUri:"/{Bucket}/{Key+}?tagging"},input:{type:"structure",required:["Bucket","Key","Tagging"],members:{Bucket:{location:"uri",locationName:"Bucket"},Key:{location:"uri",locationName:"Key"},VersionId:{location:"querystring",locationName:"versionId"},ContentMD5:{location:"header",locationName:"Content-MD5"},Tagging:{shape:"Sc1",locationName:"Tagging",xmlNamespace:{uri:"http://s3.amazonaws.com/doc/2006-03-01/"}}},payload:"Tagging"},output:{type:"structure",members:{VersionId:{location:"header",locationName:"x-amz-version-id"}}}},PutPublicAccessBlock:{http:{method:"PUT",requestUri:"/{Bucket}?publicAccessBlock"},input:{type:"structure",required:["Bucket","PublicAccessBlockConfiguration"],members:{Bucket:{location:"uri",locationName:"Bucket"},ContentMD5:{location:"header",locationName:"Content-MD5"},PublicAccessBlockConfiguration:{shape:"S9g",locationName:"PublicAccessBlockConfiguration",xmlNamespace:{uri:"http://s3.amazonaws.com/doc/2006-03-01/"}}},payload:"PublicAccessBlockConfiguration"}},RestoreObject:{http:{requestUri:"/{Bucket}/{Key+}?restore"},input:{type:"structure",required:["Bucket","Key"],members:{Bucket:{location:"uri",locationName:"Bucket"},Key:{location:"uri",locationName:"Key"},VersionId:{location:"querystring",locationName:"versionId"},RestoreRequest:{locationName:"RestoreRequest",xmlNamespace:{uri:"http://s3.amazonaws.com/doc/2006-03-01/"},type:"structure",members:{Days:{type:"integer"},GlacierJobParameters:{type:"structure",required:["Tier"],members:{Tier:{}}},Type:{},Tier:{},Description:{},SelectParameters:{type:"structure",required:["InputSerialization","ExpressionType","Expression","OutputSerialization"],members:{InputSerialization:{shape:"Scr"},ExpressionType:{},Expression:{},OutputSerialization:{shape:"Sd6"}}},OutputLocation:{type:"structure",members:{S3:{type:"structure",required:["BucketName","Prefix"],members:{BucketName:{},Prefix:{},Encryption:{type:"structure",required:["EncryptionType"],members:{EncryptionType:{},KMSKeyId:{shape:"Sj"},KMSContext:{}}},CannedACL:{},AccessControlList:{shape:"S35"},Tagging:{shape:"Sc1"},UserMetadata:{type:"list",member:{locationName:"MetadataEntry",type:"structure",members:{Name:{},Value:{}}}},StorageClass:{}}}}}}},RequestPayer:{location:"header",locationName:"x-amz-request-payer"}},payload:"RestoreRequest"},output:{type:"structure",members:{RequestCharged:{location:"header",locationName:"x-amz-request-charged"},RestoreOutputPath:{location:"header",locationName:"x-amz-restore-output-path"}}},alias:"PostObjectRestore"},SelectObjectContent:{http:{requestUri:"/{Bucket}/{Key+}?select&select-type=2"},input:{locationName:"SelectObjectContentRequest",xmlNamespace:{uri:"http://s3.amazonaws.com/doc/2006-03-01/"},type:"structure",required:["Bucket","Key","Expression","ExpressionType","InputSerialization","OutputSerialization"],members:{Bucket:{location:"uri",locationName:"Bucket"},Key:{location:"uri",locationName:"Key"},SSECustomerAlgorithm:{location:"header",locationName:"x-amz-server-side-encryption-customer-algorithm"},SSECustomerKey:{shape:"S19",location:"header",locationName:"x-amz-server-side-encryption-customer-key"},SSECustomerKeyMD5:{location:"header",locationName:"x-amz-server-side-encryption-customer-key-MD5"},Expression:{},ExpressionType:{},RequestProgress:{type:"structure",members:{Enabled:{type:"boolean"}}},InputSerialization:{shape:"Scr"},OutputSerialization:{shape:"Sd6"},ScanRange:{type:"structure",members:{Start:{type:"long"},End:{type:"long"}}}}},output:{type:"structure",members:{Payload:{type:"structure",members:{Records:{type:"structure",members:{Payload:{eventpayload:!0,type:"blob"}},event:!0},Stats:{type:"structure",members:{Details:{eventpayload:!0,type:"structure",members:{BytesScanned:{type:"long"},BytesProcessed:{type:"long"},BytesReturned:{type:"long"}}}},event:!0},Progress:{type:"structure",members:{Details:{eventpayload:!0,type:"structure",members:{BytesScanned:{type:"long"},BytesProcessed:{type:"long"},BytesReturned:{type:"long"}}}},event:!0},Cont:{type:"structure",members:{},event:!0},End:{type:"structure",members:{},event:!0}},eventstream:!0}},payload:"Payload"}},UploadPart:{http:{method:"PUT",requestUri:"/{Bucket}/{Key+}"},input:{type:"structure",required:["Bucket","Key","PartNumber","UploadId"],members:{Body:{streaming:!0,type:"blob"},Bucket:{location:"uri",locationName:"Bucket"},ContentLength:{location:"header",locationName:"Content-Length",type:"long"},ContentMD5:{location:"h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eteChapCredentials:{input:{type:"structure",required:["TargetARN","InitiatorName"],members:{TargetARN:{},InitiatorName:{}}},output:{type:"structure",members:{TargetARN:{},InitiatorName:{}}}},DeleteFileShare:{input:{type:"structure",required:["FileShareARN"],members:{FileShareARN:{},ForceDelete:{type:"boolean"}}},output:{type:"structure",members:{FileShareARN:{}}}},DeleteGateway:{input:{type:"structure",required:["GatewayARN"],members:{GatewayARN:{}}},output:{type:"structure",members:{GatewayARN:{}}}},DeleteSnapshotSchedule:{input:{type:"structure",required:["VolumeARN"],members:{VolumeARN:{}}},output:{type:"structure",members:{VolumeARN:{}}}},DeleteTape:{input:{type:"structure",required:["GatewayARN","TapeARN"],members:{GatewayARN:{},TapeARN:{}}},output:{type:"structure",members:{TapeARN:{}}}},DeleteTapeArchive:{input:{type:"structure",required:["TapeARN"],members:{TapeARN:{}}},output:{type:"structure",members:{TapeARN:{}}}},DeleteVolume:{input:{type:"structure",required:["VolumeARN"],members:{VolumeARN:{}}},output:{type:"structure",members:{VolumeARN:{}}}},DescribeAvailabilityMonitorTest:{input:{type:"structure",required:["GatewayARN"],members:{GatewayARN:{}}},output:{type:"structure",members:{GatewayARN:{},Status:{},StartTime:{type:"timestamp"}}}},DescribeBandwidthRateLimit:{input:{type:"structure",required:["GatewayARN"],members:{GatewayARN:{}}},output:{type:"structure",members:{GatewayARN:{},AverageUploadRateLimitInBitsPerSec:{type:"long"},AverageDownloadRateLimitInBitsPerSec:{type:"long"}}}},DescribeCache:{input:{type:"structure",required:["GatewayARN"],members:{GatewayARN:{}}},output:{type:"structure",members:{GatewayARN:{},DiskIds:{shape:"Sg"},CacheAllocatedInBytes:{type:"long"},CacheUsedPercentage:{type:"double"},CacheDirtyPercentage:{type:"double"},CacheHitPercentage:{type:"double"},CacheMissPercentage:{type:"double"}}}},DescribeCachediSCSIVolumes:{input:{type:"structure",required:["VolumeARNs"],members:{VolumeARNs:{shape:"S35"}}},output:{type:"structure",members:{CachediSCSIVolumes:{type:"list",member:{type:"structure",members:{VolumeARN:{},VolumeId:{},VolumeType:{},VolumeStatus:{},VolumeAttachmentStatus:{},VolumeSizeInBytes:{type:"long"},VolumeProgress:{type:"double"},SourceSnapshotId:{},VolumeiSCSIAttributes:{shape:"S3e"},CreatedDate:{type:"timestamp"},VolumeUsedInBytes:{type:"long"},KMSKey:{},TargetName:{}}}}}}},DescribeChapCredentials:{input:{type:"structure",required:["TargetARN"],members:{TargetARN:{}}},output:{type:"structure",members:{ChapCredentials:{type:"list",member:{type:"structure",members:{TargetARN:{},SecretToAuthenticateInitiator:{shape:"S3n"},InitiatorName:{},SecretToAuthenticateTarget:{shape:"S3n"}}}}}}},DescribeGatewayInformation:{input:{type:"structure",required:["GatewayARN"],members:{GatewayARN:{}}},output:{type:"structure",members:{GatewayARN:{},GatewayId:{},GatewayName:{},GatewayTimezone:{},GatewayState:{},GatewayNetworkInterfaces:{type:"list",member:{type:"structure",members:{Ipv4Address:{},MacAddress:{},Ipv6Address:{}}}},GatewayType:{},NextUpdateAvailabilityDate:{},LastSoftwareUpdate:{},Ec2InstanceId:{},Ec2InstanceRegion:{},Tags:{shape:"S9"},VPCEndpoint:{},CloudWatchLogGroupARN:{},HostEnvironment:{}}}},DescribeMaintenanceStartTime:{input:{type:"structure",required:["GatewayARN"],members:{GatewayARN:{}}},output:{type:"structure",members:{GatewayARN:{},HourOfDay:{type:"integer"},MinuteOfHour:{type:"integer"},DayOfWeek:{type:"integer"},DayOfMonth:{type:"integer"},Timezone:{}}}},DescribeNFSFileShares:{input:{type:"structure",required:["FileShareARNList"],members:{FileShareARNList:{shape:"S47"}}},output:{type:"structure",members:{NFSFileShareInfoList:{type:"list",member:{type:"structure",members:{NFSFileShareDefaults:{shape:"S1c"},FileShareARN:{},FileShareId:{},FileShareStatus:{},GatewayARN:{},KMSEncrypted:{type:"boolean"},KMSKey:{},Path:{},Role:{},LocationARN:{},DefaultStorageClass:{},ObjectACL:{},ClientList:{shape:"S1j"},Squash:{},ReadOnly:{type:"boolean"},GuessMIMETypeEnabled:{type:"boolean"},RequesterPays:{type:"boolean"},Tags:{shape:"S9"}}}}}}},DescribeSMBFileShares:{input:{type:"structure",required:["FileShareARNList"],members:{FileShareARNList:{shape:"S47"}}},output:{type:"structure",members:{SMBFileShareInfoList:{type:"list",member:{type:"structure",members:{FileShareARN:{},FileShareId:{},FileShareStatus:{},GatewayARN:{},KMSEncrypted:{type:"boolean"},KMSKey:{},Path:{},Role:{},LocationARN:{},DefaultStorageClass:{},ObjectACL:{},ReadOnly:{type:"boolean"},GuessMIMETypeEnabled:{type:"boolean"},RequesterPays:{type:"boolean"},SMBACLEnabled:{type:"boolean"},AdminUserList:{shape:"S1p"},ValidUserList:{shape:"S1p"},InvalidUserList:{shape:"S1p"},Authentication:{},Tags:{shape:"S9"}}}}}}},DescribeSMBSettings:{input:{type:"structure",required:["GatewayARN"],members:{GatewayARN:{}}},output:{type:"structure",members:{GatewayARN:{},DomainName:{},ActiveDirectoryStatus:{},SMBGuestPasswordSet:{type:"boolean"},SMBSecurityStrategy:{}}}},DescribeSnapshotSchedule:{input:{type:"structure",requ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istogram:{shape:"S2h"}}}},S29:{type:"list",member:{}},S2d:{type:"structure",members:{OkCount:{type:"long"},ErrorStatistics:{shape:"S2f"},FaultStatistics:{shape:"S2g"},TotalCount:{type:"long"},TotalResponseTime:{type:"double"}}},S2f:{type:"structure",members:{ThrottleCount:{type:"long"},OtherCount:{type:"long"},TotalCount:{type:"long"}}},S2g:{type:"structure",members:{OtherCount:{type:"long"},TotalCount:{type:"long"}}},S2h:{type:"list",member:{type:"structure",members:{Value:{type:"double"},Count:{type:"integer"}}}},S2m:{type:"structure",members:{OkCount:{type:"long"},ErrorStatistics:{shape:"S2f"},FaultStatistics:{shape:"S2g"},TotalCount:{type:"long"},TotalResponseTime:{type:"double"}}},S38:{type:"list",member:{shape:"S39"}},S39:{type:"structure",members:{Name:{},Names:{shape:"S29"},AccountId:{},Type:{}}},S3o:{type:"list",member:{type:"structure",members:{Name:{},Message:{}}}}}}},{}],220:[function(e,t,r){t.exports={pagination:{BatchGetTraces:{input_token:"NextToken",non_aggregate_keys:["UnprocessedTraceIds"],output_token:"NextToken",result_key:"Traces"},GetGroups:{input_token:"NextToken",output_token:"NextToken",result_key:"Groups"},GetSamplingRules:{input_token:"NextToken",output_token:"NextToken",result_key:"SamplingRuleRecords"},GetSamplingStatisticSummaries:{input_token:"NextToken",output_token:"NextToken",result_key:"SamplingStatisticSummaries"},GetServiceGraph:{input_token:"NextToken",non_aggregate_keys:["StartTime","EndTime","ContainsOldGroupVersions"],output_token:"NextToken",result_key:"Services"},GetTimeSeriesServiceStatistics:{input_token:"NextToken",non_aggregate_keys:["ContainsOldGroupVersions"],output_token:"NextToken",result_key:"TimeSeriesServiceStatistics"},GetTraceGraph:{input_token:"NextToken",output_token:"NextToken",result_key:"Services"},GetTraceSummaries:{input_token:"NextToken",non_aggregate_keys:["TracesProcessedCount","ApproximateTime"],output_token:"NextToken",result_key:"TraceSummaries"}}}},{}],221:[function(e,t,r){e("../lib/node_loader");var i=e("../lib/core"),a=i.Service,s=i.apiLoader;s.services.acm={},i.ACM=a.defineService("acm",["2015-12-08"]),Object.defineProperty(s.services.acm,"2015-12-08",{get:function(){var t=e("../apis/acm-2015-12-08.min.json");return t.paginators=e("../apis/acm-2015-12-08.paginators.json").pagination,t.waiters=e("../apis/acm-2015-12-08.waiters2.json").waiters,t},enumerable:!0,configurable:!0}),t.exports=i.ACM},{"../apis/acm-2015-12-08.min.json":1,"../apis/acm-2015-12-08.paginators.json":2,"../apis/acm-2015-12-08.waiters2.json":3,"../lib/core":318,"../lib/node_loader":314}],222:[function(e,t,r){e("../lib/node_loader");var i=e("../lib/core"),a=i.Service,s=i.apiLoader;s.services.apigateway={},i.APIGateway=a.defineService("apigateway",["2015-07-09"]),e("../lib/services/apigateway"),Object.defineProperty(s.services.apigateway,"2015-07-09",{get:function(){var t=e("../apis/apigateway-2015-07-09.min.json");return 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t.paginators=e("../apis/application-autoscaling-2016-02-06.paginators.json").pagination,t},enumerable:!0,configurable:!0}),t.exports=i.ApplicationAutoScaling},{"../apis/application-autoscaling-2016-02-06.min.json":6,"../apis/application-autoscaling-2016-02-06.paginators.json":7,"../lib/core":318,"../lib/node_loader":314}],224:[function(e,t,r){e("../lib/node_loader");var i=e("../lib/core"),a=i.Service,s=i.apiLoader;s.services.autoscaling={},i.AutoScaling=a.defineService("autoscaling",["2011-01-01"]),Object.defineProperty(s.services.autoscaling,"2011-01-01",{get:function(){var t=e("../apis/autoscaling-2011-01-01.min.json");return t.paginators=e("../apis/autoscaling-2011-01-01.paginators.json").pagination,t},enumerable:!0,configurable:!0}),t.exports=i.AutoScaling},{"../apis/autoscaling-2011-01-01.min.json":8,"../apis/autoscaling-2011-01-01.paginators.json":9,"../lib/core":318,"../lib/node_loader":314}],225:[function(e,t,r){e("../lib/node_loader"),t.exports={ACM:e("./acm"),APIGateway:e("./apigateway"),ApplicationAutoScaling:e("./applicationautoscaling"),AutoScaling:e("./autoscaling"),CloudFormation:e("./cloudformation"),CloudFront:e("./cloudfront"),CloudHSM:e("./cloudhsm"),CloudTrail:e("./cloudtrail"),CloudWatch:e("./cloudwatch"),CloudWatchEvents:e("./cloudwatchevents"),CloudWatchLogs:e("./cloudwatchlogs"),CodeBuild:e("./codebuild"),CodeCommit:e("./codecommit"),CodeDeploy:e("./codedeploy"),
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i=e("../lib/core"),a=i.Service,s=i.apiLoader;s.services.ssm={},i.SSM=a.defineService("ssm",["2014-11-06"]),Object.defineProperty(s.services.ssm,"2014-11-06",{get:function(){var t=e("../apis/ssm-2014-11-06.min.json");return t.paginators=e("../apis/ssm-2014-11-06.paginators.json").pagination,t},enumerable:!0,configurable:!0}),t.exports=i.SSM},{"../apis/ssm-2014-11-06.min.json":205,"../apis/ssm-2014-11-06.paginators.json":206,"../lib/core":318,"../lib/node_loader":314}],301:[function(e,t,r){e("../lib/node_loader");var i=e("../lib/core"),a=i.Service,s=i.apiLoader;s.services.storagegateway={},i.StorageGateway=a.defineService("storagegateway",["2013-06-30"]),Object.defineProperty(s.services.storagegateway,"2013-06-30",{get:function(){var t=e("../apis/storagegateway-2013-06-30.min.json");return t.paginators=e("../apis/storagegateway-2013-06-30.paginators.json").pagination,t},enumerable:!0,configurable:!0}),t.exports=i.StorageGateway},{"../apis/storagegateway-2013-06-30.min.json":207,"../apis/storagegateway-2013-06-30.paginators.json":208,"../lib/core":318,"../lib/node_loader":314}],302:[function(e,t,r){e("../lib/node_loader");var i=e("../lib/core"),a=i.Service,s=i.apiLoader;s.services.sts={},i.STS=a.defineService("sts",["2011-06-15"]),e("../lib/services/sts"),Object.defineProperty(s.services.sts,"2011-06-15",{get:function(){var t=e("../apis/sts-2011-06-15.min.json");return t.paginators=e("../apis/sts-2011-06-15.paginators.json").pagination,t},enumerable:!0,configurable:!0}),t.exports=i.STS},{"../apis/sts-2011-06-15.min.json":211,"../apis/sts-2011-06-15.paginators.json":212,"../lib/core":318,"../lib/node_loader":314,"../lib/services/sts":382}],303:[function(e,t,r){e("../lib/node_loader");var i=e("../lib/core"),a=i.Service,s=i.apiLoader;s.services.translate={},i.Translate=a.defineService("translate",["2017-07-01"]),Object.defineProperty(s.services.translate,"2017-07-01",{get:function(){var t=e("../apis/translate-2017-07-01.min.json");return t.paginators=e("../apis/translate-2017-07-01.paginators.json").pagination,t},enumerable:!0,configurable:!0}),t.exports=i.Translate},{"../apis/translate-2017-07-01.min.json":213,"../apis/translate-2017-07-01.paginators.json":214,"../lib/core":318,"../lib/node_loader":314}],304:[function(e,t,r){e("../lib/node_loader");var i=e("../lib/core"),a=i.Service,s=i.apiLoader;s.services.waf={},i.WAF=a.defineService("waf",["2015-08-24"]),Object.defineProperty(s.services.waf,"2015-08-24",{get:function(){var t=e("../apis/waf-2015-08-24.min.json");return t.paginators=e("../apis/waf-2015-08-24.paginators.json").pagination,t},enumerable:!0,configurable:!0}),t.exports=i.WAF},{"../apis/waf-2015-08-24.min.json":215,"../apis/waf-2015-08-24.paginators.json":216,"../lib/core":318,"../lib/node_loader":314}],305:[function(e,t,r){e("../lib/node_loader");var i=e("../lib/core"),a=i.Service,s=i.apiLoader;s.services.workdocs={},i.WorkDocs=a.defineService("workdocs",["2016-05-01"]),Object.defineProperty(s.services.workdocs,"2016-05-01",{get:function(){var t=e("../apis/workdocs-2016-05-01.min.json");return t.paginators=e("../apis/workdocs-2016-05-01.paginators.json").pagination,t},enumerable:!0,configurable:!0}),t.exports=i.WorkDocs},{"../apis/workdocs-2016-05-01.min.json":217,"../apis/workdocs-2016-05-01.paginators.json":218,"../lib/core":318,"../lib/node_loader":314}],306:[function(e,t,r){e("../lib/node_loader");var i=e("../lib/core"),a=i.Service,s=i.apiLoader;s.services.xray={},i.XRay=a.defineService("xray",["2016-04-12"]),Object.defineProperty(s.services.xray,"2016-04-12",{get:function(){var t=e("../apis/xray-2016-04-12.min.json");return t.paginators=e("../apis/xray-2016-04-12.paginators.json").pagination,t},enumerable:!0,configurable:!0}),t.exports=i.XRay},{"../apis/xray-2016-04-12.min.json":219,"../apis/xray-2016-04-12.paginators.json":220,"../lib/core":318,"../lib/node_loader":314}],307:[function(e,t,r){function i(e,t){if(!i.services.hasOwnProperty(e))throw new Error("InvalidService: Failed to load api for "+e);return i.services[e][t]}i.services={},t.exports=i},{}],308:[function(e,t,r){var i=e("./browserHmac"),a=e("./browserMd5"),s=e("./browserSha1"),o=e("./browserSha256");t.exports={createHash:function(e){if("md5"===(e=e.toLowerCase()))return new a;if("sha256"===e)return new o;if("sha1"===e)return new s;throw new Error("Hash algorithm "+e+" is not supported in the browser SDK")},createHmac:function(e,t){if("md5"===(e=e.toLowerCase()))return new i(a,t);if("sha256"===e)return new i(o,t);if("sha1"===e)return new i(s,t);throw new Error("HMAC algorithm "+e+" is not supported in the browser SDK")},createSign:function(){throw new Error("createSign is not implemented in the browser")}}},{"./browserHmac":310,"./browserMd5":311,"./browserSha1":312,"./browserSha256":313}],309:[function(e,t,r){function i(e){return"string"==typeof e?0===e.length:0===e.byteLength}function a(e){return"string"==typeof e&&(e=new s(e,"utf8")),ArrayBuffer.isView(e)?new Uint8Array(e.buffer,e.byteOffset,e.byteLength/Uint8Array.BYTES_PER_ELEMENT):new Uint8Array(e)}var s=e("buffer/").Buffer;"undefined"!=typeof ArrayBuffer&&void 0===ArrayBuffer.isView&&(ArrayBuffer.isView=function(e){return o.indexOf(Object.prototype.toString.call(e))>-1});var o=["[object Int8Array]","[object Uint8Array]","[object Uint8ClampedArray]","[object Int16Array]","[object Uint16Array]","[object Int32Array]","[object Uint32Array]","[object Float32Array]","[object Float64Array]","[object DataView]"];t.exports={isEmptyData:i,convertToBuffer:a}},{"buffer/":401}],310:[function(e,t,r){function i(e,t){this.hash=new e,this.outer=new e;var r=a(e,t),i=new Uint8Array(e.BLOCK_SIZE);i.set(r);for(var s=0;se.BLOCK_SIZE){var i=new e;i.update(r),r=i.digest()}var a=new Uint8Array(e.BLOCK_SIZE);return a.set(r),a}var s=e("./browserHashUtils");t.exports=i,i.prototype.update=function(e){if(s.isEmptyData(e)||this.error)return this;try{this.hash.update(s.convertToBuffer(e))}catch(e){this.error=e}return this},i.prototype.digest=function(e){return this.outer.finished||this.outer.update(this.hash.digest()),this.outer.digest(e)}},{"./browserHashUtils":309}],311:[function(e,t,r){function i(){this.state=[1732584193,4023233417,2562383102,271733878],this.buffer=new DataView(new ArrayBuffer(c)),this.bufferLength=0,this.bytesHashed=0,this.finished=!1}function a(e,t,r,i,a,s){return((t=(t+e&4294967295)+(i+s&4294967295)&4294967295)<>>32-a)+r&4294967295}function s(e,t,r,i,s,o,n){return a(t&r|~t&i,e,t,s,o,n)}function o(e,t,r,i,s,o,n){return a(t&i|r&~i,e,t,s,o,n)}function n(e,t,r,i,s,o,n){return a(t^r^i,e,t,s,o,n)}function u(e,t,r,i,s,o,n){return a(r^(t|~i),e,t,s,o,n)}var p=e("./browserHashUtils"),m=e("buffer/").Buffer,c=64;t.exports=i,i.BLOCK_SIZE=c,i.prototype.update=function(e){if(p.isEmptyData(e))return this;if(this.finished)throw new Error("Attempted to update an already finished hash.");var t=p.convertToBuffer(e),r=0,i=t.byteLength;for(this.bytesHashed+=i;i>0;)this.buffer.setUint8(this.bufferLength++,t[r++]),i--,this.bufferLength===c&&(this.hashBuffer(),this.bufferLength=0);return this},i.prototype.digest=function(e){if(!this.finished){var t=this,r=t.buffer,i=t.bufferLength,a=t.bytesHashed,s=8*a;if(r.setUint8(this.bufferLength++,128),i%c>=c-8){for(var o=this.bufferLength;o>>0,!0),r.setUint32(c-4,Math.floor(s/4294967296),!0),this.hashBuffer(),this.finished=!0}for(var n=new DataView(new ArrayBuffer(16)),o=0;o<4;o++)n.setUint32(4*o,this.state[o],!0);var u=new m(n.buffer,n.byteOffset,n.byteLength);return e?u.toString(e):u},i.prototype.hashBuffer=function(){var e=this,t=e.buffer,r=e.state,i=r[0],a=r[1],p=r[2],m=r[3];i=s(i,a,p,m,t.getUint32(0,!0),7,3614090360),m=s(m,i,a,p,t.getUint32(4,!0),12,3905402710),p=s(p,m,i,a,t.getUint32(8,!0),17,606105819),a=s(a,p,m,i,t.getUint32(12,!0),22,3250441966),i=s(i,a,p,m,t.getUint32(16,!0),7,4118548399),m=s(m,i,a,p,t.getUint32(20,!0),12,1200080426),p=s(p,m,i,a,t.getUint32(24,!0),17,2821735955),a=s(a,p,m,i,t.getUint32(28,!0),22,4249261313),i=s(i,a,p,m,t.getUint32(32,!0),7,1770035416),m=s(m,i,a,p,t.getUint32(36,!0),12,2336552879),p=s(p,m,i,a,t.getUint32(40,!0),17,4294925233),a=s(a,p,m,i,t.getUint32(44,!0),22,2304563134),i=s(i,a,p,m,t.getUint32(48,!0),7,1804603682),m=s(m,i,a,p,t.getUint32(52,!0),12,4254626195),p=s(p,m,i,a,t.getUint32(56,!0),17,2792965006),a=s(a,p,m,i,t.getUint32(60,!0),22,1236535329),i=o(i,a,p,m,t.getUint32(4,!0),5,4129170786),m=o(m,i,a,p,t.getUint32(24,!0),9,3225465664),p=o(p,m,i,a,t.getUint32(44,!0),14,643717713),a=o(a,p,m,i,t.getUint32(0,!0),20,3921069994),
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i(){this.h0=1732584193,this.h1=4023233417,this.h2=2562383102,this.h3=271733878,this.h4=3285377520,this.block=new Uint32Array(80),this.offset=0,this.shift=24,this.totalLength=0}var a=e("buffer/").Buffer,s=e("./browserHashUtils");new Uint32Array([1518500249,1859775393,-1894007588,-899497514]),Math.pow(2,53);t.exports=i,i.BLOCK_SIZE=64,i.prototype.update=function(e){if(this.finished)throw new Error("Attempted to update an already finished hash.");if(s.isEmptyData(e))return this;e=s.convertToBuffer(e);var t=e.length;this.totalLength+=8*t;for(var r=0;r14||14===this.offset&&this.shift<24)&&this.processBlock(),this.offset=14,this.shift=24,this.write(0),this.write(0),this.write(this.totalLength>0xffffffffff?this.totalLength/1099511627776:0),this.write(this.totalLength>4294967295?this.totalLength/4294967296:0);for(var t=24;t>=0;t-=8)this.write(this.totalLength>>t);var r=new a(20),i=new DataView(r.buffer);return i.setUint32(0,this.h0,!1),i.setUint32(4,this.h1,!1),i.setUint32(8,this.h2,!1),i.setUint32(12,this.h3,!1),i.setUint32(16,this.h4,!1),e?r.toString(e):r},i.prototype.processBlock=function(){for(var e=16;e<80;e++){var t=this.block[e-3]^this.block[e-8]^this.block[e-14]^this.block[e-16];this.block[e]=t<<1|t>>>31}var r,i,a=this.h0,s=this.h1,o=this.h2,n=this.h3,u=this.h4;for(e=0;e<80;e++){e<20?(r=n^s&(o^n),i=1518500249):e<40?(r=s^o^n,i=1859775393):e<60?(r=s&o|n&(s|o),i=2400959708):(r=s^o^n,i=3395469782);var p=(a<<5|a>>>27)+r+u+i+(0|this.block[e]);u=n,n=o,o=s<<30|s>>>2,s=a,a=p}for(this.h0=this.h0+a|0,this.h1=this.h1+s|0,this.h2=this.h2+o|0,this.h3=this.h3+n|0,this.h4=this.h4+u|0,this.offset=0,e=0;e<16;e++)this.block[e]=0}},{"./browserHashUtils":309,"buffer/":401}],313:[function(e,t,r){function i(){this.state=[1779033703,3144134277,1013904242,2773480762,1359893119,2600822924,528734635,1541459225],this.temp=new Int32Array(64),this.buffer=new Uint8Array(64),this.bufferLength=0,this.bytesHashed=0,this.finished=!1}var a=e("buffer/").Buffer,s=e("./browserHashUtils"),o=new Uint32Array([1116352408,1899447441,3049323471,3921009573,961987163,1508970993,2453635748,2870763221,3624381080,310598401,607225278,1426881987,1925078388,2162078206,2614888103,3248222580,3835390401,4022224774,264347078,604807628,770255983,1249150122,1555081692,1996064986,2554220882,2821834349,2952996808,3210313671,3336571891,3584528711,113926993,338241895,666307205,773529912,1294757372,1396182291,1695183700,1986661051,2177026350,2456956037,2730485921,2820302411,3259730800,3345764771,3516065817,3600352804,4094571909,275423344,430227734,506948616,659060556,883997877,958139571,1322822218,1537002063,1747873779,1955562222,2024104815,2227730452,2361852424,2428436474,2756734187,3204031479,3329325298]),n=Math.pow(2,53)-1;t.exports=i,i.BLOCK_SIZE=64,i.prototype.update=function(e){if(this.finished)throw new Error("Attempted to update an already finished hash.");if(s.isEmptyData(e))return this;e=s.convertToBuffer(e);var t=0,r=e.byteLength;if(this.bytesHashed+=r,8*this.bytesHashed>n)throw new Error("Cannot hash more than 2^53 - 1 bits");for(;r>0;)this.buffer[this.bufferLength++]=e[t++],r--,64===this.bufferLength&&(this.hashBuffer(),this.bufferLength=0);return this},i.prototype.digest=function(e){if(!this.finished){var t=8*this.bytesHashed,r=new DataView(this.buffer.buffer,this.buffer.byteOffset,this.buffer.byteLength),i=this.bufferLength;if(r.setUint8(this.bufferLength++,128),i%64>=56){for(var s=this.bufferLength;s<64;s++)r.setUint8(s,0);this.hashBuffer(),this.bufferLength=0}for(var s=this.bufferLength;s<56;s++)r.setUint8(s,0);r.setUint32(56,Math.floor(t/4294967296),!0),r.setUint32(60,t),this.hashBuffer(),this.finished=!0}for(var o=new a(32),s=0;s<8;s++)o[4*s]=this.state[s]>>>24&255,o[4*s+1]=this.state[s]>>>16&255,o[4*s+2]=this.state[s]>>>8&255,o[4*s+3]=this.state[s]>>>0&255;return e?o.toString(e):o},i.prototype.hashBuffer=function(){for(var e=this,t=e.buffer,r=e.state,i=r[0],a=r[1],s=r[2],n=r[3],u=r[4],p=r[5],m=r[6],c=r[7],l=0;l<64;l++){if(l<16)this.temp[l]=(255&t[4*l])<<24|(255&t[4*l+1])<<16|(255&t[4*l+2])<<8|255&t[4*l+3];else{var d=this.temp[l-2],y=(d>>>17|d<<15)^(d>>>19|d<<13)^d>>>10;d=this.temp[l-15];var b=(d>>>7|d<<25)^(d>>>18|d<<14)^d>>>3;this.temp[l]=(y+this.temp[l-7]|0)+(b+this.temp[l-16]|0)}var S=(((u>>>6|u<<26)^(u>>>11|u<<21)^(u>>>25|u<<7))+(u&p^~u&m)|0)+(c+(o[l]+this.temp[l]|0)|0)|0,h=((i>>>2|i<<30)^(i>>>13|i<<19)^(i>>>22|i<<10))+(i&a^i&s^a&s)|0;c=m,m=p,p=u,u=n+S|0,n=s,s=a,a=i,i=S+h|0}r[0]+=i,r[1]+=a,r[2]+=s,r[3]+=n,r[4]+=u,r[5]+=p,r[6]+=m,r[7]+=c}},{"./browserHashUtils":309,"buffer/":401}],314:[function(e,t,r){(function(r){var i=e("./util");i.crypto.lib=e("./browserCryptoLib"),i.Buffer=e("buffer/").Buffer,i.url=e("url/"),i.querystring=e("querystring/"),i.realClock=e("./realclock/browserClock"),i.environment="js",i.createEventStream=e("./event-stream/buffered-create-event-stream").createEventStream,i.isBrowser=function(){return!0},i.isNode=function(){return!1};var a=e("./core");if(t.exports=a,e("./credentials"),e("./credentials/credential_provider_chain"),e("./credentials/temporary_credentials"),e("./credentials/chainable_temporary_credentials"),e("./credentials/web_identity_credentials"),e("./credentials/cognito_identity_credentials"),e("./credentials/saml_credentials"),a.XML.Parser=e("./xml/browser_parser"),e("./http/xhr"),void 0===r)var r={browser:!0}}).call(this,e("_process"))},{"./browserCryptoLib":308,"./core":318,"./credentials":319,"./credentials/chainable_temporary_credentials":320,"./credentials/cognito_identity_credentials":321,"./credentials/credential_provider_chain":322,"./credentials/saml_credentials":323,"./credentials/temporary_credentials":324,"./credentials/web_identity_credentials":325,"./event-stream/buffered-create-event-stream":333,"./http/xhr":341,"./realclock/browserClock":360,"./util":392,"./xml/browser_parser":393,_process:406,"buffer/":401,"querystring/":413,"url/":415}],315:[function(e,t,r){var i=e("../core"),a=i.util.url,s=i.util.crypto.lib,o=i.util.base64.encode,n=i.util.inherit,u=function(e){var t={"+":"-","=":"_","/":"~"};return e.replace(/[\+=\/]/g,function(e){return t[e]})},p=function(e,t){var r=s.createSign("RSA-SHA1");return r.write(e),u(r.sign(t,"base64"))},m=function(e,t,r,i){var a=JSON.stringify({Statement:[{Resource:e,Condition:{DateLessThan:{"AWS:EpochTime":t}}}]});return{Expires:t,"Key-Pair-Id":r,Signature:p(a.toString(),i)}},c=function(e,t,r){return e=e.replace(/\s/gm,""),{Policy:u(o(e)),"Key-Pair-Id":t,Signature:p(e,r)}},l=function(e){var t=e.split("://");if(t.length<2)throw new Error("Invalid URL.");return t[0].replace("*","")},d=function(e){var t=a.parse(e);return t.path.replace(/^\//,"")+(t.hash||"")},y=function(e){switch(l(e)){case"http":case"https":return e;case"rtmp":return d(e);default:throw new Error("Invalid URI scheme. Scheme must be one of http, https, or rtmp")}},b=function(e,t){if(!t||"function"!=typeof t)throw e;t(e)},S=function(e,t){if(!t||"function"!=typeof t)return e;t(null,e)};i.CloudFront.Signer=n({constructor:function(e,t){if(void 0===e||void 0===t)throw new Error("A key pair ID and private key are required");this.keyPairId=e,this.privateKey=t},getSignedCookie:function(e,t){var r="policy"in e?c(e.policy,this.keyPairId,this.privateKey):m(e.url,e.expires,this.keyPairId,this.privateKey),i={};for(var a in r)Object.prototype.hasOwnProperty.call(r,a)&&(i["CloudFront-"+a]=r[a]);return S(i,t)},getSignedUrl:function(e,t){try{var r=y(e.url)}catch(e){return b(e,t)}var i=a.parse(e.url,!0),s=Object.prototype.hasOwnProperty.call(e,"policy")?c(e.policy,this.keyPairId,this.privateKey):m(r,e.expires,this.keyPairId,this.privateKey);i.search=null;for(var o in s)Object.prototype.hasOwnProperty.call(s,o)&&(i.query[o]=s[o]);try{var n="rtmp"===l(e.url)?d(a.format(i)):a.format(i)}catch(e){return b(e,t)}return S(n,t)}}),t.exports=i.CloudFront.Signer},{"../core":318}],316:[function(e,t,r){var i=e("./core");e("./credentials"),e("./credentials/credential_provider_chain");var a;i.Config=i.util.inherit({constructor:function(e){void 0===e&&(e={}),e=this.extractCredentials(e),i.util.each.call(this,this.keys,function(t,r){this.set(t,e[t],r)})},getCredentials:function(e){function t(t){e(t,t?null:a.credentials)}function r(e,t){return new i.util.error(t||new Error,{code:"CredentialsError",message:e,name:"CredentialsError"})}var a=this;a.credentials?"function"==typeof a.credentials.get?function(){a.credentials.get(function(e){e&&(e=r("Could not load credentials from "+a.credentials.constructor.name,e)),t(e)})}():function(){var e=null;a.credentials.accessKeyId&&a.credentials.secretAccessKey||(e=r("Missing credentials")),t(e)}():a.credentialProvider?a.credentialProvider.resolve(function(e,i){e&&(e=r("Could not load credentials from any providers",e)),a.credentials=i,t(e)}):t(r("No credentials to load"))},update:function(e,t){t=t||!1,e=this.extractCredentials(e),i.util.each.call(this,e,function(e,r){(t||Object.prototype.hasOwnProperty.call(this.keys,e)||i.Service.hasService(e))&&this.set(e,r)})},loadFromPath:function(e){this.clear();var t=JSON.parse(i.util.readFileSync(e)),r=new i.FileSystemCredentials(e),a=new i.CredentialProviderChain;return a.providers.unshift(r),a.resolve(function(e,r){if(e)throw e;t.credentials=r}),this.constructor(t),this},clear:function(){i.util.each.call(this,this.keys,function(e){delete this[e]}),this.set("credentials",void 0),this.set("credentialProvider",void 0)},set:function(e,t,r){void 0===t?(void 0===r&&(r=this.keys[e]),this[e]="function"==typeof r?r.call(this):r):"httpOptions"===e&&this[e]?this[e]=i.util.merge(this[e],t):this[e]=t},keys:{credentials:null,credentialProvider:null,region:null,logger:null,apiVersions:{},apiVersion:null,endpoint:void 0,httpOptions:{timeout:12e4},maxRetries:void 0,maxRedirects:10,paramValidation:!0,sslEnabled:!0,s3ForcePathStyle:!1,s3BucketEndpoint:!1,s3DisableBodySigning:!0,s3UsEast1RegionalEndpoint:"legacy",s3UseArnRegion:void 0,computeChecksums:!0,convertResponseTypes:!0,correctClockSkew:!1,customUserAgent:null,dynamoDbCrc32:!0,systemClockOffset:0,signatureVersion:null,signatureCache:!0,retryDelayOptions:{},useAccelerateEndpoint:!1,clientSideMonitoring:!1,endpointDiscoveryEnabled:!1,endpointCacheSize:1e3,hostPrefixEnabled:!0,stsRegionalEndpoints:"legacy"},extractCredentials:function(e){return e.accessKeyId&&e.secretAccessKey&&(e=i.util.copy(e),e.credentials=new i.Credentials(e)),e},setPromisesDependency:function(e){a=e,null===e&&"function"==typeof Promise&&(a=Promise);var t=[i.Request,i.Credentials,i.CredentialProviderChain];i.S3&&(t.push(i.S3),i.S3.ManagedUpload&&t.push(i.S3.ManagedUpload)),i.util.addPromises(t,a)},getPromisesDependency:function(){return a}}),i.config=new i.Config},{"./core":318,"./credentials":319,"./credentials/credential_provider_chain":322}],317:[function(e,t,r){(function(r){function i(e,t){if("string"==typeof e){if(["legacy","regional"].indexOf(e.toLowerCase())>=0)return e.toLowerCase();throw s.util.error(new Error,t)}}function a(e,t){e=e||{};var a;if(e[t.clientConfig]&&(a=i(e[t.clientConfig],{code:"InvalidConfiguration",message:'invalid "'+t.clientConfig+'" configuration. Expect "legacy" or "regional". Got "'+e[t.clientConfig]+'".'})))return a;if(!s.util.isNode())return a;if(Object.prototype.hasOwnProperty.call(r.env,t.env)){if(a=i(r.env[t.env],{code:"InvalidEnvironmentalVariable",message:"invalid "+t.env+' environmental variable. Expect "legacy" or "regional". Got "'+r.env[t.env]+'".'}))return a}var o={};try{o=s.util.getProfilesFromSharedConfig(s.util.iniLoader)[r.env.AWS_PROFILE||s.util.defaultProfile]}catch(e){}if(o&&Object.prototype.hasOwnProperty.call(o,t.sharedConfig)){if(a=i(o[t.sharedConfig],{code:"InvalidConfiguration",message:"invalid "+t.sharedConfig+' profile config. Expect "legacy" or "regional". Got "'+o[t.sharedConfig]+'".'}))return a}return a}var s=e("./core");t.exports=a}).call(this,e("_process"))},{"./core":318,_process:406}],318:[function(e,t,r){var i={util:e("./util")};({}).toString(),t.exports=i,i.util.update(i,{VERSION:"2.583.0",Signers:{},Protocol:{Json:e("./protocol/json"),Query:e("./protocol/query"),Rest:e("./protocol/rest"),RestJson:e("./protocol/rest_json"),RestXml:e("./protocol/rest_xml")},XML:{Builder:e("./xml/builder"),Parser:null},JSON:{Builder:e("./json/builder"),Parser:e("./json/parser")},Model:{Api:e("./model/api"),Operation:e("./model/operation"),Shape:e("./model/shape"),Paginator:e("./model/paginator"),ResourceWaiter:e("./model/resource_waiter")},apiLoader:e("./api_loader"),EndpointCache:e("../vendor/endpoint-cache").EndpointCache}),e("./sequential_executor"),e("./service"),e("./config"),e("./http"),e("./event_listeners"),e("./request"),e("./response"),e("./resource_waiter"),e("./signers/request_signer"),e("./param_validator"),i.events=new i.SequentialExecutor,i.util.memoizedProperty(i,"endpointCache",function(){return new i.EndpointCache(i.config.endpointCacheSize)},!0)},{"../vendor/endpoint-cache":424,"./api_loader":307,"./config":316,"./event_listeners":339,"./http":340,"./json/builder":342,"./json/parser":343,"./model/api":344,"./model/operation":346,"./model/paginator":347,"./model/resource_waiter":348,"./model/shape":349,"./param_validator":350,"./protocol/json":353,"./protocol/query":354,"./protocol/rest":355,"./protocol/rest_json":356,"./protocol/rest_xml":357,"./request":363,"./resource_waiter":364,"./response":365,"./sequential_executor":367,"./service":368,"./signers/request_signer":384,"./util":392,"./xml/builder":394}],319:[function(e,t,r){var i=e("./core");i.Credentials=i.util.inherit({constructor:function(){if(i.util.hideProperties(this,["secretAccessKey"]),this.expired=!1,this.expireTime=null,this.refreshCallbacks=[],1===arguments.length&&"object"==typeof arguments[0]){var e=arguments[0].credentials||arguments[0];this.accessKeyId=e.accessKeyId,this.secretAccessKey=e.secretAccessKey,this.sessionToken=e.sessionToken}else this.accessKeyId=arguments[0],this.secretAccessKey=arguments[1],this.sessionToken=arguments[2]},expiryWindow:15,needsRefresh:function(){var e=i.util.date.getDate().getTime(),t=new Date(e+1e3*this.expiryWindow);return!!(this.expireTime&&t>this.expireTime)||(this.expired||!this.accessKeyId||!this.secretAccessKey)},get:function(e){var t=this;this.needsRefresh()?this.refresh(function(r){r||(t.expired=!1),e&&e(r)}):e&&e()},refresh:function(e){this.expired=!1,e()},coalesceRefresh:function(e,t){var r=this;1===r.refreshCallbacks.push(e)&&r.load(function(e){i.util.arrayEach(r.refreshCallbacks,function(r){t?r(e):i.util.defer(function(){r(e)})}),r.refreshCallbacks.length=0})},load:function(e){e()}}),i.Credentials.addPromisesToClass=function(e){this.prototype.getPromise=i.util.promisifyMethod("get",e),this.prototype.refreshPromise=i.util.promisifyMethod("refresh",e)},i.Credentials.deletePromisesFromClass=function(){delete this.prototype.getPromise,delete this.prototype.refreshPromise},i.util.addPromises(i.Credentials)},{"./core":318}],320:[function(e,t,r){var i=e("../core"),a=e("../../clients/sts");i.ChainableTemporaryCredentials=i.util.inherit(i.Credentials,{constructor:function(e){i.Credentials.call(this),e=e||{},this.errorCode="ChainableTemporaryCredentialsProviderFailure",this.expired=!0,this.tokenCodeFn=null;var t=i.util.copy(e.params)||{};if(t.RoleArn&&(t.RoleSessionName=t.RoleSessionName||"temporary-credentials"),t.SerialNumber){if(!e.tokenCodeFn||"function"!=typeof e.tokenCodeFn)throw new i.util.error(new Error("tokenCodeFn must be a function when params.SerialNumber is given"),{code:this.errorCode});this.tokenCodeFn=e.tokenCodeFn}var r=i.util.merge({params:t,credentials:e.masterCredentials||i.config.credentials},e.stsConfig||{});this.service=new a(r)},refresh:function(e){this.coalesceRefresh(e||i.util.fn.callback)},load:function(e){var t=this,r=t.service.config.params.RoleArn?"assumeRole":"getSessionToken";this.getTokenCode(function(i,a){var s={};if(i)return void e(i);a&&(s.TokenCode=a),t.service[r](s,function(r,i){r||t.service.credentialsFrom(i,t),e(r)})})},getTokenCode:function(e){var t=this;this.tokenCodeFn?this.tokenCodeFn(this.service.config.params.SerialNumber,function(r,a){if(r){var s=r;return r instanceof Error&&(s=r.message),void e(i.util.error(new Error("Error fetching MFA token: "+s),{code:t.errorCode}))}e(null,a)}):e(null)}})},{"../../clients/sts":302,"../core":318}],321:[function(e,t,r){var i=e("../core"),a=e("../../clients/cognitoidentity"),s=e("../../clients/sts");i.CognitoIdentityCredentials=i.util.inherit(i.Credentials,{localStorageKey:{id:"aws.cognito.identity-id.",providers:"aws.cognito.identity-providers."},constructor:function(e,t){i.Credentials.call(this),this.expired=!0,this.params=e,this.data=null,this._identityId=null,this._clientConfig=i.util.copy(t||{}),this.loadCachedId();var r=this;Object.defineProperty(this,"identityId",{get:function(){return r.loadCachedId(),r._identityId||r.params.IdentityId},set:function(e){r._identityId=e}})},refresh:function(e){this.coalesceRefresh(e||i.util.fn.callback)},load:function(e){var t=this;t.createClients(),t.data=null,t._identityId=null,t.getId(function(r){r?(t.clearIdOnNotAuthorized(r),e(r)):t.params.RoleArn?t.getCredentialsFromSTS(e):t.getCredentialsForIdentity(e)})},clearCachedId:function(){this._identityId=null,delete this.params.IdentityId;var e=this.params.IdentityPoolId,t=this.params.LoginId||"";delete this.storage[this.localStorageKey.id+e+t],delete this.storage[this.localStorageKey.providers+e+t]},clearIdOnNotAuthorized:function(e){var t=this;"NotAuthorizedException"==e.code&&t.clearCachedId()},getId:function(e){var t=this;if("string"==typeof t.params.IdentityId)return e(null,t.params.IdentityId);t.cognito.getId(function(r,i){!r&&i.IdentityId?(t.params.IdentityId=i.IdentityId,e(null,i.IdentityId)):e(r)})},loadCredentials:function(e,t){e&&t&&(t.expired=!1,t.accessKeyId=e.Credentials.AccessKeyId,t.secretAccessKey=e.Credentials.SecretKey,t.sessionToken=e.Credentials.SessionToken,t.expireTime=e.Credentials.Expiration)},getCredentialsForIdentity:function(e){var t=this;t.cognito.getCredentialsForIdentity(function(r,i){r?t.clearIdOnNotAuthorized(r):(t.cacheId(i),t.data=i,t.loadCredentials(t.data,t)),e(r)})},getCredentialsFromSTS:function(e){var t=this;t.cognito.getOpenIdToken(function(r,i){r?(t.clearIdOnNotAuthorized(r),e(r)):(t.cacheId(i),t.params.WebIdentityToken=i.Token,t.webIdentityCredentials.refresh(function(r){r||(t.data=t.webIdentityCredentials.data,t.sts.credentialsFrom(t.data,t)),e(r)}))})},loadCachedId:function(){var e=this;if(i.util.isBrowser()&&!e.params.IdentityId){var t=e.getStorage("id");if(t&&e.params.Logins){var r=Object.keys(e.params.Logins);0!==(e.getStorage("providers")||"").split(",").filter(function(e){return-1!==r.indexOf(e)}).length&&(e.params.IdentityId=t)}else t&&(e.params.IdentityId=t)}},createClients:function(){var e=this._clientConfig;if(this.webIdentityCredentials=this.webIdentityCredentials||new i.WebIdentityCredentials(this.params,e),!this.cognito){var t=i.util.merge({},e);t.params=this.params,this.cognito=new a(t)}this.sts=this.sts||new s(e)},cacheId:function(e){this._identityId=e.IdentityId,this.params.IdentityId=this._identityId,i.util.isBrowser()&&(this.setStorage("id",e.IdentityId),this.params.Logins&&this.setStorage("providers",Object.keys(this.params.Logins).join(",")))},getStorage:function(e){return this.storage[this.localStorageKey[e]+this.params.IdentityPoolId+(this.params.LoginId||"")]},setStorage:function(e,t){try{this.storage[this.localStorageKey[e]+this.params.IdentityPoolId+(this.params.LoginId||"")]=t}catch(e){}},storage:function(){try{var e=i.util.isBrowser()&&null!==window.localStorage&&"object"==typeof window.localStorage?window.localStorage:{};return e["aws.test-storage"]="foobar",delete e["aws.test-storage"],e}catch(e){return{}}}()})},{"../../clients/cognitoidentity":237,"../../clients/sts":302,"../core":318}],322:[function(e,t,r){var i=e("../core");i.CredentialProviderChain=i.util.inherit(i.Credentials,{constructor:function(e){this.providers=e||i.CredentialProviderChain.defaultProviders.slice(0),this.resolveCallbacks=[]},resolve:function(e){function t(e,o){if(!e&&o||a===s.length)return i.util.arrayEach(r.resolveCallbacks,function(t){t(e,o)}),void(r.resolveCallbacks.length=0);var n=s[a++];o="function"==typeof n?n.call():n,o.get?o.get(function(e){t(e,e?null:o)}):t(null,o)}var r=this;if(0===r.providers.length)return e(new Error("No providers")),r;if(1===r.resolveCallbacks.push(e)){var a=0,s=r.providers.slice(0);t()}return r}}),i.CredentialProviderChain.defaultProviders=[],i.CredentialProviderChain.addPromisesToClass=function(e){this.prototype.resolvePromise=i.util.promisifyMethod("resolve",e)},i.CredentialProviderChain.deletePromisesFromClass=function(){delete this.prototype.resolvePromise},i.util.addPromises(i.CredentialProviderChain)},{"../core":318}],323:[function(e,t,r){var i=e("../core"),a=e("../../clients/sts");i.SAMLCredentials=i.util.inherit(i.Credentials,{constructor:function(e){i.Credentials.call(this),this.expired=!0,this.params=e},refresh:function(e){this.coalesceRefresh(e||i.util.fn.callback)},load:function(e){var t=this;t.createClients(),t.service.assumeRoleWithSAML(function(r,i){r||t.service.credentialsFrom(i,t),e(r)})},createClients:function(){this.service=this.service||new a({params:this.params})}})},{"../../clients/sts":302,"../core":318}],324:[function(e,t,r){var i=e("../core"),a=e("../../clients/sts");i.TemporaryCredentials=i.util.inherit(i.Credentials,{constructor:function(e,t){i.Credentials.call(this),this.loadMasterCredentials(t),this.expired=!0,this.params=e||{},this.params.RoleArn&&(this.params.RoleSessionName=this.params.RoleSessionName||"temporary-credentials")},refresh:function(e){this.coalesceRefresh(e||i.util.fn.callback)},load:function(e){var t=this;t.createClients(),t.masterCredentials.get(function(){t.service.config.credentials=t.masterCredentials,(t.params.RoleArn?t.service.assumeRole:t.service.getSessionToken).call(t.service,function(r,i){r||t.service.credentialsFrom(i,t),e(r)})})},loadMasterCredentials:function(e){for(this.masterCredentials=e||i.config.credentials;this.masterCredentials.masterCredentials;)this.masterCredentials=this.masterCredentials.masterCredentials;"function"!=typeof this.masterCredentials.get&&(this.masterCredentials=new i.Credentials(this.masterCredentials))},createClients:function(){this.service=this.service||new a({params:this.params})}})},{"../../clients/sts":302,"../core":318}],325:[function(e,t,r){var i=e("../core"),a=e("../../clients/sts");i.WebIdentityCredentials=i.util.inherit(i.Credentials,{constructor:function(e,t){i.Credentials.call(this),this.expired=!0,this.params=e,this.params.RoleSessionName=this.params.RoleSessionName||"web-identity",this.data=null,this._clientConfig=i.util.copy(t||{})},refresh:function(e){this.coalesceRefresh(e||i.util.fn.callback)},load:function(e){var t=this;t.createClients(),t.service.assumeRoleWithWebIdentity(function(r,i){t.data=null,r||(t.data=i,t.service.credentialsFrom(i,t)),e(r)})},createClients:function(){if(!this.service){var e=i.util.merge({},this._clientConfig);e.params=this.params,this.service=new a(e)}}})},{"../../clients/sts":302,"../core":318}],326:[function(e,t,r){(function(r){function i(e){var t=e.service,r=t.api||{},i={};return t.config.region&&(i.region=t.config.region),r.serviceId&&(i.serviceId=r.serviceId),t.config.credentials.accessKeyId&&(i.accessKeyId=t.config.credentials.accessKeyId),i}function a(e,t,r){r&&void 0!==t&&null!==t&&"structure"===r.type&&r.required&&r.required.length>0&&b.arrayEach(r.required,function(i){var s=r.members[i];if(!0===s.endpointDiscoveryId){var o=s.isLocationName?s.name:i;e[o]=String(t[i])}else a(e,t[i],s)})}function s(e,t){var r={};return a(r,e.params,t),r}function o(e){var t=e.service,r=t.api,a=r.operations?r.operations[e.operation]:void 0,o=a?a.input:void 0,n=s(e,o),p=i(e);Object.keys(n).length>0&&(p=b.update(p,n),a&&(p.operation=a.name));var m=y.endpointCache.get(p);if(!m||1!==m.length||""!==m[0].Address)if(m&&m.length>0)e.httpRequest.updateEndpoint(m[0].Address);else{var c=t.makeRequest(r.endpointOperation,{Operation:a.name,Identifiers:n});u(c),c.removeListener("validate",y.EventListeners.Core.VALIDATE_PARAMETERS),c.removeListener("retry",y.EventListeners.Core.RETRY_CHECK),y.endpointCache.put(p,[{Address:"",CachePeriodInMinutes:1}]),c.send(function(e,t){t&&t.Endpoints?y.endpointCache.put(p,t.Endpoints):e&&y.endpointCache.put(p,[{Address:"",CachePeriodInMinutes:1}])})}}function n(e,t){var r=e.service,a=r.api,o=a.operations?a.operations[e.operation]:void 0,n=o?o.input:void 0,p=s(e,n),m=i(e);Object.keys(p).length>0&&(m=b.update(m,p),o&&(m.operation=o.name));var c=y.EndpointCache.getKeyString(m),l=y.endpointCache.get(c);if(l&&1===l.length&&""===l[0].Address)return h[c]||(h[c]=[]),void h[c].push({request:e,callback:t});if(l&&l.length>0)e.httpRequest.updateEndpoint(l[0].Address),t();else{var d=r.makeRequest(a.endpointOperation,{Operation:o.name,Identifiers:p});d.removeListener("validate",y.EventListeners.Core.VALIDATE_PARAMETERS),u(d),y.endpointCache.put(c,[{Address:"",CachePeriodInMinutes:60}]),d.send(function(r,i){if(r){var a={code:"EndpointDiscoveryException",message:"Request cannot be fulfilled without specifying an endpoint",retryable:!1};if(e.response.error=b.error(r,a),y.endpointCache.remove(m),h[c]){var s=h[c];b.arrayEach(s,function(e){e.request.response.error=b.error(r,a),e.callback()}),delete h[c]}}else if(i&&(y.endpointCache.put(c,i.Endpoints),e.httpRequest.updateEndpoint(i.Endpoints[0].Address),h[c])){var s=h[c];b.arrayEach(s,function(e){e.request.httpRequest.updateEndpoint(i.Endpoints[0].Address),e.callback()}),delete h[c]}t()})}}function u(e){var t=e.service.api,r=t.apiVersion;r&&!e.httpRequest.headers["x-amz-api-version"]&&(e.httpRequest.headers["x-amz-api-version"]=r)}function p(e){var t=e.error,r=e.httpResponse;if(t&&("InvalidEndpointException"===t.code||421===r.statusCode)){var a=e.request,o=a.service.api.operations||{},n=o[a.operation]?o[a.operation].input:void 0,u=s(a,n),p=i(a);Object.keys(u).length>0&&(p=b.update(p,u),o[a.operation]&&(p.operation=o[a.operation].name)),y.endpointCache.remove(p)}}function m(e){if(e._originalConfig&&e._originalConfig.endpoint&&!0===e._originalConfig.endpointDiscoveryEnabled)throw b.error(new Error,{code:"ConfigurationException",message:"Custom endpoint is supplied; endpointDiscoveryEnabled must not be true."});var t=y.config[e.serviceIdentifier]||{};return Boolean(y.config.endpoint||t.endpoint||e._originalConfig&&e._originalConfig.endpoint)}function c(e){return["false","0"].indexOf(e)>=0}function l(e){if(!0===(e.service||{}).config.endpointDiscoveryEnabled)return!0;if(b.isBrowser())return!1;for(var t=0;t-1&&0===++e[t];t--);}var s=e("../core").util,o=s.buffer.toBuffer;i.fromNumber=function(e){if(e>0x8000000000000000||e<-0x8000000000000000)throw new Error(e+" is too large (or, if negative, too small) to represent as an Int64");for(var t=new Uint8Array(8),r=7,s=Math.abs(Math.round(e));r>-1&&s>0;r--,s/=256)t[r]=s;return e<0&&a(t),new i(t)},i.prototype.valueOf=function(){var e=this.bytes.slice(0),t=128&e[0];return t&&a(e),parseInt(e.toString("hex"),16)*(t?-1:1)},i.prototype.toString=function(){return String(this.valueOf())},t.exports={Int64:i}},{"../core":318}],336:[function(e,t,r){function i(e,t,r){var i=s(t),o=i.headers[":message-type"];if(o){if("error"===o.value)throw a(i);if("event"!==o.value)return}var n=i.headers[":event-type"],u=r.members[n.value];if(u){var p={},m=u.eventPayloadMemberName;if(m){var c=u.members[m];"binary"===c.type?p[m]=i.body:p[m]=e.parse(i.body.toString(),c)}for(var l=u.eventHeaderMemberNames,d=0;d=0)return e.httpRequest.headers["X-Amz-Content-Sha256"]="UNSIGNED-PAYLOAD",t();a.util.computeSha256(s,function(r,i){r?t(r):(e.httpRequest.headers["X-Amz-Content-Sha256"]=i,t())})}else t()}}),e("SET_CONTENT_LENGTH","afterBuild",function(e){var t=i(e),r=a.util.getRequestPayloadShape(e);if(void 0===e.httpRequest.headers["Content-Length"])try{var s=a.util.string.byteLength(e.httpRequest.body);e.httpRequest.headers["Content-Length"]=s}catch(i){if(r&&r.isStreaming){if(r.requiresLength)throw i;if(t.indexOf("unsigned-body")>=0)return void(e.httpRequest.headers["Transfer-Encoding"]="chunked");throw i}throw i}}),e("SET_HTTP_HOST","afterBuild",function(e){e.httpRequest.headers.Host=e.httpRequest.endpoint.host}),e("RESTART","restart",function(){var e=this.response.error;e&&e.retryable&&(this.httpRequest=new a.HttpRequest(this.service.endpoint,this.service.region),this.response.retryCount=600?this.emit("sign",[this],function(e){e?t(e):o()}):o()}),e("HTTP_HEADERS","httpHeaders",function(e,t,r,i){r.httpResponse.statusCode=e,r.httpResponse.statusMessage=i,r.httpResponse.headers=t,r.httpResponse.body=a.util.buffer.toBuffer(""),r.httpResponse.buffers=[],r.httpResponse.numBytes=0;var s=t.date||t.Date,o=r.request.service;if(s){var n=Date.parse(s);o.config.correctClockSkew&&o.isClockSkewed(n)&&o.applyClockOffset(n)}}),e("HTTP_DATA","httpData",function(e,t){if(e){if(a.util.isNode()){t.httpResponse.numBytes+=e.length;var r=t.httpResponse.headers["content-length"],i={loaded:t.httpResponse.numBytes,total:r};t.request.emit("httpDownloadProgress",[i,t])}t.httpResponse.buffers.push(a.util.buffer.toBuffer(e))}}),e("HTTP_DONE","httpDone",function(e){if(e.httpResponse.buffers&&e.httpResponse.buffers.length>0){var t=a.util.buffer.concat(e.httpResponse.buffers);e.httpResponse.body=t}delete e.httpResponse.numBytes,delete e.httpResponse.buffers}),e("FINALIZE_ERROR","retry",function(e){e.httpResponse.statusCode&&(e.error.statusCode=e.httpResponse.statusCode,void 0===e.error.retryable&&(e.error.retryable=this.service.retryableError(e.error,this)))}),e("INVALIDATE_CREDENTIALS","retry",function(e){if(e.error)switch(e.error.code){case"RequestExpired":case"ExpiredTokenException":case"ExpiredToken":e.error.retryable=!0,e.request.service.config.credentials.expired=!0}}),e("EXPIRED_SIGNATURE","retry",function(e){var t=e.error;t&&"string"==typeof t.code&&"string"==typeof t.message&&t.code.match(/Signature/)&&t.message.match(/expired/)&&(e.error.retryable=!0)}),e("CLOCK_SKEWED","retry",function(e){e.error&&this.service.clockSkewError(e.error)&&this.service.config.correctClockSkew&&(e.error.retryable=!0)}),e("REDIRECT","retry",function(e){e.error&&e.error.statusCode>=300&&e.error.statusCode<400&&e.httpResponse.headers.location&&(this.httpRequest.endpoint=new a.Endpoint(e.httpResponse.headers.location),this.httpRequest.headers.Host=this.httpRequest.endpoint.host,e.error.redirect=!0,e.error.retryable=!0)}),e("RETRY_CHECK","retry",function(e){e.error&&(e.error.redirect&&e.redirectCount=0?(e.error=null,setTimeout(t,r)):t()})}),CorePost:(new s).addNamedListeners(function(e){e("EXTRACT_REQUEST_ID","extractData",a.util.extractRequestId),e("EXTRACT_REQUEST_ID","extractError",a.util.extractRequestId),e("ENOTFOUND_ERROR","httpError",function(e){if("NetworkingError"===e.code&&"ENOTFOUND"===e.errno){var t="Inaccessible host: `"+e.hostname+"'. This service may not be available in the `"+e.region+"' region.";this.response.error=a.util.error(new Error(t),{code:"UnknownEndpoint",region:e.region,hostname:e.hostname,retryable:!0,originalError:e})}})}),Logger:(new s).addNamedListeners(function(t){t("LOG_REQUEST","complete",function(t){function r(e,t){if(!t)return t;switch(e.type){case"structure":var i={};return a.util.each(t,function(t,a){Object.prototype.hasOwnProperty.call(e.members,t)?i[t]=r(e.members[t],a):i[t]=a}),i;case"list":var s=[];return a.util.arrayEach(t,function(t,i){s.push(r(e.member,t))}),s;case"map":var o={};return a.util.each(t,function(t,i){o[t]=r(e.value,i)}),o;default:return e.isSensitive?"***SensitiveInformation***":t}}var i=t.request,s=i.service.config.logger;if(s){var o=function(){var o=t.request.service.getSkewCorrectedDate().getTime(),n=(o-i.startTime.getTime())/1e3,u=!!s.isTTY,p=t.httpResponse.statusCode,m=i.params;if(i.service.api.operations&&i.service.api.operations[i.operation]&&i.service.api.operations[i.operation].input){m=r(i.service.api.operations[i.operation].input,i.params)}var c=e("util").inspect(m,!0,null),l="";return u&&(l+="[33m"),l+="[AWS "+i.service.serviceIdentifier+" "+p,l+=" "+n.toString()+"s "+t.retryCount+" retries]",u&&(l+="[0;1m"),l+=" "+a.util.string.lowerFirst(i.operation),l+="("+c+")",u&&(l+="[0m"),l}();"function"==typeof s.log?s.log(o):"function"==typeof s.write&&s.write(o+"\n")}})}),Json:(new s).addNamedListeners(function(t){var r=e("./protocol/json");t("BUILD","build",r.buildRequest),t("EXTRACT_DATA","extractData",r.extractData),t("EXTRACT_ERROR","extractError",r.extractError)}),Rest:(new s).addNamedListeners(function(t){var r=e("./protocol/rest");t("BUILD","build",r.buildRequest),t("EXTRACT_DATA","extractData",r.extractData),t("EXTRACT_ERROR","extractError",r.extractError)}),RestJson:(new s).addNamedListeners(function(t){var r=e("./protocol/rest_json");t("BUILD","build",r.buildRequest),t("EXTRACT_DATA","extractData",r.extractData),t("EXTRACT_ERROR","extractError",r.extractError)}),RestXml:(new s).addNamedListeners(function(t){var r=e("./protocol/rest_xml");t("BUILD","build",r.buildRequest),t("EXTRACT_DATA","extractData",r.extractData),t("EXTRACT_ERROR","extractError",r.extractError)}),Query:(new s).addNamedListeners(function(t){var r=e("./protocol/query");t("BUILD","build",r.buildRequest),t("EXTRACT_DATA","extractData",r.extractData),t("EXTRACT_ERROR","extractError",r.extractError)})}},{"./core":318,"./discover_endpoint":326,"./protocol/json":353,"./protocol/query":354,"./protocol/rest":355,"./protocol/rest_json":356,"./protocol/rest_xml":357,"./sequential_executor":367,util:418}],340:[function(e,t,r){var i=e("./core"),a=i.util.inherit;i.Endpoint=a({constructor:function(e,t){if(i.util.hideProperties(this,["slashes","auth","hash","search","query"]),void 0===e||null===e)throw new Error("Invalid endpoint: "+e);if("string"!=typeof e)return i.util.copy(e);if(!e.match(/^http/)){e=((t&&void 0!==t.sslEnabled?t.sslEnabled:i.config.sslEnabled)?"https":"http")+"://"+e}i.util.update(this,i.util.urlParse(e)),this.port?this.port=parseInt(this.port,10):this.port="https:"===this.protocol?443:80}}),i.HttpRequest=a({constructor:function(e,t){e=new i.Endpoint(e),this.method="POST",this.path=e.path||"/",this.headers={},this.body="",this.endpoint=e,this.region=t,this._userAgent="",this.setUserAgent()},setUserAgent:function(){this._userAgent=this.headers[this.getUserAgentHeaderName()]=i.util.userAgent()},getUserAgentHeaderName:function(){return(i.util.isBrowser()?"X-Amz-":"")+"User-Agent"},appendToUserAgent:function(e){"string"==typeof e&&e&&(this._userAgent+=" "+e),this.headers[this.getUserAgentHeaderName()]=this._userAgent},getUserAgent:function(){return this._userAgent},pathname:function(){return this.path.split("?",1)[0]},search:function(){var e=this.path.split("?",2)[1];return e?(e=i.util.queryStringParse(e),i.util.queryParamsToString(e)):""},updateEndpoint:function(e){var t=new i.Endpoint(e);this.endpoint=t,this.path=t.path||"/"}}),i.HttpResponse=a({constructor:function(){this.statusCode=void 0,this.headers={},this.body=void 0,this.streaming=!1,this.stream=null},createUnbufferedStream:function(){return this.streaming=!0,this.stream}}),i.HttpClient=a({}),i.HttpClient.getInstance=function(){return void 0===this.singleton&&(this.singleton=new this),this.singleton}},{"./core":318}],341:[function(e,t,r){var i=e("../core"),a=e("events").EventEmitter;e("../http"),i.XHRClient=i.util.inherit({handleRequest:function(e,t,r,s){var o=this,n=e.endpoint,u=new a,p=n.protocol+"//"+n.hostname;80!==n.port&&443!==n.port&&(p+=":"+n.port),p+=e.path;var m=new XMLHttpRequest,c=!1;e.stream=m,m.addEventListener("readystatechange",function(){try{if(0===m.status)return}catch(e){return}this.readyState>=this.HEADERS_RECEIVED&&!c&&(u.statusCode=m.status,u.headers=o.parseHeaders(m.getAllResponseHeaders()),u.emit("headers",u.statusCode,u.headers,m.statusText),c=!0),this.readyState===this.DONE&&o.finishRequest(m,u)},!1),m.upload.addEventListener("progress",function(e){u.emit("sendProgress",e)}),m.addEventListener("progress",function(e){u.emit("receiveProgress",e)},!1),m.addEventListener("timeout",function(){s(i.util.error(new Error("Timeout"),{code:"TimeoutError"}))},!1),m.addEventListener("error",function(){s(i.util.error(new Error("Network Failure"),{code:"NetworkingError"}))},!1),m.addEventListener("abort",function(){s(i.util.error(new Error("Request aborted"),{code:"RequestAbortedError"}))},!1),r(u),m.open(e.method,p,!1!==t.xhrAsync),i.util.each(e.headers,function(e,t){"Content-Length"!==e&&"User-Agent"!==e&&"Host"!==e&&m.setRequestHeader(e,t)}),t.timeout&&!1!==t.xhrAsync&&(m.timeout=t.timeout),t.xhrWithCredentials&&(m.withCredentials=!0);try{m.responseType="arraybuffer"}catch(e){}try{e.body?m.send(e.body):m.send()}catch(t){if(!e.body||"object"!=typeof e.body.buffer)throw t;m.send(e.body.buffer)}return u},parseHeaders:function(e){var t={};return i.util.arrayEach(e.split(/\r?\n/),function(e){var r=e.split(":",1)[0],i=e.substring(r.length+2);r.length>0&&(t[r.toLowerCase()]=i)}),t},finishRequest:function(e,t){var r;if("arraybuffer"===e.responseType&&e.response){var a=e.response;r=new i.util.Buffer(a.byteLength);for(var s=new Uint8Array(a),o=0;o-1?t||"":t,this.isJsonValue?JSON.parse(t):t&&"function"==typeof t.toString?t.toString():t},this.toWireFormat=function(e){return this.isJsonValue?JSON.stringify(e):e}}function l(){s.apply(this,arguments),this.toType=function(e){return null===e||void 0===e?null:parseFloat(e)},this.toWireFormat=this.toType}function d(){s.apply(this,arguments),this.toType=function(e){return null===e||void 0===e?null:parseInt(e,10)},this.toWireFormat=this.toType}function y(){s.apply(this,arguments),this.toType=function(e){var t=g.base64.decode(e);if(this.isSensitive&&g.isNode()&&"function"==typeof g.Buffer.alloc){var r=g.Buffer.alloc(t.length,t);t.fill(0),t=r}return t},this.toWireFormat=g.base64.encode}function b(){y.apply(this,arguments)}function S(){s.apply(this,arguments),this.toType=function(e){return"boolean"==typeof e?e:null===e||void 0===e?null:"true"===e}}var h=e("./collection"),g=e("../util");s.normalizedTypes={character:"string",double:"float",long:"integer",short:"integer",biginteger:"integer",bigdecimal:"float",blob:"binary"},s.types={structure:n,list:u,map:p,boolean:S,timestamp:m,float:l,integer:d,string:c,base64:b,binary:y},s.resolve=function(e,t){if(e.shape){var r=t.api.shapes[e.shape];if(!r)throw new Error("Cannot find shape reference: "+e.shape);return r}return null},s.create=function(e,t,r){if(e.isShape)return e;var i=s.resolve(e,t);if(i){var a=Object.keys(e);t.documentation||(a=a.filter(function(e){return!e.match(/documentation/)}));var o=function(){i.constructor.call(this,e,t,r)};return o.prototype=i,new o}e.type||(e.members?e.type="structure":e.member?e.type="list":e.key?e.type="map":e.type="string");var n=e.type;if(s.normalizedTypes[e.type]&&(e.type=s.normalizedTypes[e.type]),s.types[e.type])return new s.types[e.type](e,t,r);throw new Error("Unrecognized shape type: "+n)},s.shapes={StructureShape:n,ListShape:u,MapShape:p,StringShape:c,BooleanShape:S,Base64Shape:b},t.exports=s},{"../util":392,"./collection":345}],350:[function(e,t,r){var i=e("./core");i.ParamValidator=i.util.inherit({constructor:function(e){!0!==e&&void 0!==e||(e={min:!0}),this.validation=e},validate:function(e,t,r){if(this.errors=[],this.validateMember(e,t||{},r||"params"),this.errors.length>1){var a=this.errors.join("\n* ");throw a="There were "+this.errors.length+" validation errors:\n* "+a,i.util.error(new Error(a),{code:"MultipleValidationErrors",errors:this.errors})}if(1===this.errors.length)throw this.errors[0];return!0},fail:function(e,t){this.errors.push(i.util.error(new Error(t),{code:e}))},validateStructure:function(e,t,r){this.validateType(t,r,["object"],"structure");for(var i,a=0;e.required&&a= 1, but found "'+t+'" for '+r)},validatePattern:function(e,t,r){this.validation.pattern&&void 0!==e.pattern&&(new RegExp(e.pattern).test(t)||this.fail("PatternMatchError",'Provided value "'+t+'" does not match regex pattern /'+e.pattern+"/ for "+r))},validateRange:function(e,t,r,i){this.validation.min&&void 0!==e.min&&t= "+e.min+", but found "+t+" for "+r),this.validation.max&&void 0!==e.max&&t>e.max&&this.fail("MaxRangeError","Expected "+i+" <= "+e.max+", but found "+t+" for "+r)},validateEnum:function(e,t,r){this.validation.enum&&void 0!==e.enum&&-1===e.enum.indexOf(t)&&this.fail("EnumError","Found string value of "+t+", but expected "+e.enum.join("|")+" for "+r)},validateType:function(e,t,r,a){if(null===e||void 0===e)return!1;for(var s=!1,o=0;o63)throw u.error(new Error,{code:"ValidationError",message:"Hostname label length should be between 1 to 63 characters, inclusive."});if(!r.test(e))throw p.util.error(new Error,{code:"ValidationError",message:e+" is not hostname compatible."})})}var u=e("../util"),p=e("../core");t.exports={populateHostPrefix:i}},{"../core":318,"../util":392}],353:[function(e,t,r){function i(e){var t=e.httpRequest,r=e.service.api,i=r.targetPrefix+"."+r.operations[e.operation].name,a=r.jsonVersion||"1.0",s=r.operations[e.operation].input,o=new n;1===a&&(a="1.0"),t.body=o.build(e.params||{},s),t.headers["Content-Type"]="application/x-amz-json-"+a,t.headers["X-Amz-Target"]=i,p(e)}function a(e){var t={},r=e.httpResponse;if(t.code=r.headers["x-amzn-errortype"]||"UnknownError","string"==typeof t.code&&(t.code=t.code.split(":")[0]),r.body.length>0)try{var i=JSON.parse(r.body.toString());(i.__type||i.code)&&(t.code=(i.__type||i.code).split("#").pop()),"RequestEntityTooLarge"===t.code?t.message="Request body must be less than 1 MB":t.message=i.message||i.Message||null}catch(i){t.statusCode=r.statusCode,t.message=r.statusMessage}else t.statusCode=r.statusCode,t.message=r.statusCode.toString();e.error=o.error(new Error,t)}function s(e){var t=e.httpResponse.body.toString()||"{}";if(!1===e.request.service.config.convertResponseTypes)e.data=JSON.parse(t);else{var r=e.request.service.api.operations[e.request.operation],i=r.output||{},a=new u;e.data=a.parse(t,i)}}var o=e("../util"),n=e("../json/builder"),u=e("../json/parser"),p=e("./helpers").populateHostPrefix;t.exports={buildRequest:i,extractError:a,extractData:s}},{"../json/builder":342,"../json/parser":343,"../util":392,"./helpers":352}],354:[function(e,t,r){function i(e){var t=e.service.api.operations[e.operation],r=e.httpRequest;r.headers["Content-Type"]="application/x-www-form-urlencoded; charset=utf-8",r.params={Version:e.service.api.apiVersion,Action:t.name},(new u).serialize(e.params,t.input,function(e,t){r.params[e]=t}),r.body=n.queryParamsToString(r.params),m(e)}function a(e){var t,r=e.httpResponse.body.toString();if(r.match("=0?"&":"?";var n=[];m.arrayEach(Object.keys(s).sort(),function(e){Array.isArray(s[e])||(s[e]=[s[e]]);for(var t=0;t0){t=new n.XML.Parser;var c=t.parse(i.toString(),s);u.update(e.data,c)}}var n=e("../core"),u=e("../util"),p=e("./rest");t.exports={buildRequest:a,extractError:s,extractData:o}},{"../core":318,"../util":392,"./rest":355}],358:[function(e,t,r){function i(){}function a(e){return e.isQueryName||"ec2"!==e.api.protocol?e.name:e.name[0].toUpperCase()+e.name.substr(1)}function s(e,t,r,i){p.each(r.members,function(r,s){var o=t[r];if(null!==o&&void 0!==o){var n=a(s);n=e?e+"."+n:n,u(n,o,s,i)}})}function o(e,t,r,i){var a=1;p.each(t,function(t,s){var o=r.flattened?".":".entry.",n=o+a+++".",p=n+(r.key.name||"key"),m=n+(r.value.name||"value");u(e+p,t,r.key,i),u(e+m,s,r.value,i)})}function n(e,t,r,i){var s=r.member||{};if(0===t.length)return void i.call(this,e,null);p.arrayEach(t,function(t,o){var n="."+(o+1);if("ec2"===r.api.protocol)n+="";else if(r.flattened){if(s.name){var p=e.split(".");p.pop(),p.push(a(s)),e=p.join(".")}}else n="."+(s.name?s.name:"member")+n;u(e+n,t,s,i)})}function u(e,t,r,i){null!==t&&void 0!==t&&("structure"===r.type?s(e,t,r,i):"list"===r.type?n(e,t,r,i):"map"===r.type?o(e,t,r,i):i(e,r.toWireFormat(t).toString()))}var p=e("../util");i.prototype.serialize=function(e,t,r){s("",e,t,r)},t.exports=i},{"../util":392}],359:[function(e,t,r){var i=e("../core"),a=null,s={signatureVersion:"v4",signingName:"rds-db",operations:{}},o={region:"string",hostname:"string",port:"number",username:"string"};i.RDS.Signer=i.util.inherit({constructor:function(e){this.options=e||{}},convertUrlToAuthToken:function(e){if(0===e.indexOf("https://"))return e.substring("https://".length)},getAuthToken:function(e,t){"function"==typeof e&&void 0===t&&(t=e,e={});var r=this,o="function"==typeof t;e=i.util.merge(this.options,e);var n=this.validateAuthTokenOptions(e);if(!0!==n){if(o)return t(n,null);throw n}var u={region:e.region,endpoint:new i.Endpoint(e.hostname+":"+e.port),paramValidation:!1,signatureVersion:"v4"};e.credentials&&(u.credentials=e.credentials),a=new i.Service(u),a.api=s;var p=a.makeRequest();if(this.modifyRequestForAuthToken(p,e),!o){var m=p.presign(900);return this.convertUrlToAuthToken(m)}p.presign(900,function(e,i){i&&(i=r.convertUrlToAuthToken(i)),t(e,i)})},modifyRequestForAuthToken:function(e,t){e.on("build",e.buildAsGet),e.httpRequest.body=i.util.queryParamsToString({Action:"connect",DBUser:t.username})},validateAuthTokenOptions:function(e){var t="";e=e||{};for(var r in o)Object.prototype.hasOwnProperty.call(o,r)&&typeof e[r]!==o[r]&&(t+="option '"+r+"' should have been type '"+o[r]+"', was '"+typeof e[r]+"'.\n");return!t.length||i.util.error(new Error,{code:"InvalidParameter",message:t})}})},{"../core":318}],360:[function(e,t,r){t.exports={now:function(){return"undefined"!=typeof performance&&"function"==typeof performance.now?performance.now():Date.now()}}},{}],361:[function(e,t,r){function i(e){if(!e)return null;var t=e.split("-");return t.length<3?null:t.slice(0,t.length-2).join("-")+"-*"}function a(e){var t=e.config.region,r=i(t),a=e.api.endpointPrefix;return[[t,a],[r,a],[t,"*"],[r,"*"],["*",a],["*","*"]].map(function(e){return e[0]&&e[1]?e.join("/"):null})}function s(e,t){u.each(t,function(t,r){"globalEndpoint"!==t&&(void 0!==e.config[t]&&null!==e.config[t]||(e.config[t]=r))})}function o(e){for(var t=a(e),r=0;r=0){u=!0;var p=0}var m=function(){u&&p!==n?a.emit("error",i.util.error(new Error("Stream content length mismatch. Received "+p+" of "+n+" bytes."),{code:"StreamContentLengthMismatch"})):2===i.HttpClient.streamsApiVersion?a.end():a.emit("end")},c=o.httpResponse.createUnbufferedStream();if(2===i.HttpClient.streamsApiVersion)if(u){var l=new e.PassThrough;l._write=function(t){return t&&t.length&&(p+=t.length),e.PassThrough.prototype._write.apply(this,arguments)},l.on("end",m),a.on("error",function(e){u=!1,c.unpipe(l),l.emit("end"),l.end()}),c.pipe(l).pipe(a,{end:!1})}else c.pipe(a);else u&&c.on("data",function(e){e&&e.length&&(p+=e.length)}),c.on("data",function(e){a.emit("data",e)}),c.on("end",m);c.on("error",function(e){u=!1,a.emit("error",e)})}}),a},emitEvent:function(e,t,r){"function"==typeof t&&(r=t,t=null),r||(r=function(){}),t||(t=this.eventParameters(e,this.response)),i.SequentialExecutor.prototype.emit.call(this,e,t,function(e){e&&(this.response.error=e),r.call(this,e)})},eventParameters:function(e){switch(e){case"restart":case"validate":case"sign":case"build":case"afterValidate":case"afterBuild":return[this];case"error":return[this.response.error,this.response];default:return[this.response]}},presign:function(e,t){return t||"function"!=typeof e||(t=e,e=null),(new i.Signers.Presign).sign(this.toGet(),e,t)},isPresigned:function(){return Object.prototype.hasOwnProperty.call(this.httpRequest.headers,"presigned-expires")},toUnauthenticated:function(){return this._unAuthenticated=!0,this.removeListener("validate",i.EventListeners.Core.VALIDATE_CREDENTIALS),this.removeListener("sign",i.EventListeners.Core.SIGN),this},toGet:function(){return"query"!==this.service.api.protocol&&"ec2"!==this.service.api.protocol||(this.removeListener("build",this.buildAsGet),this.addListener("build",this.buildAsGet)),this},buildAsGet:function(e){e.httpRequest.method="GET",e.httpRequest.path=e.service.endpoint.path+"?"+e.httpRequest.body,e.httpRequest.body="",
-delete e.httpRequest.headers["Content-Length"],delete e.httpRequest.headers["Content-Type"]},haltHandlersOnError:function(){this._haltHandlersOnError=!0}}),i.Request.addPromisesToClass=function(e){this.prototype.promise=function(){var t=this;return this.httpRequest.appendToUserAgent("promise"),new e(function(e,r){t.on("complete",function(t){t.error?r(t.error):e(Object.defineProperty(t.data||{},"$response",{value:t}))}),t.runTo()})}},i.Request.deletePromisesFromClass=function(){delete this.prototype.promise},i.util.addPromises(i.Request),i.util.mixin(i.Request,i.SequentialExecutor)}).call(this,e("_process"))},{"./core":318,"./state_machine":391,_process:406,jmespath:405}],364:[function(e,t,r){function i(e){var t=e.request._waiter,r=t.config.acceptors,i=!1,a="retry";r.forEach(function(r){if(!i){var s=t.matchers[r.matcher];s&&s(e,r.expected,r.argument)&&(i=!0,a=r.state)}}),!i&&e.error&&(a="failure"),"success"===a?t.setSuccess(e):t.setError(e,"retry"===a)}var a=e("./core"),s=a.util.inherit,o=e("jmespath");a.ResourceWaiter=s({constructor:function(e,t){this.service=e,this.state=t,this.loadWaiterConfig(this.state)},service:null,state:null,config:null,matchers:{path:function(e,t,r){try{var i=o.search(e.data,r)}catch(e){return!1}return o.strictDeepEqual(i,t)},pathAll:function(e,t,r){try{var i=o.search(e.data,r)}catch(e){return!1}Array.isArray(i)||(i=[i]);var a=i.length;if(!a)return!1;for(var s=0;s=1&&t.doneParts===t.numParts&&t.finishMultiPart()}))}r&&t.fillQueue.call(t)},abort:function(){var e=this;!0===e.isDoneChunking&&1===e.totalPartNumbers&&e.singlePart?e.singlePart.abort():e.cleanup(i.util.error(new Error("Request aborted by user"),{code:"RequestAbortedError",retryable:!1}))},validateBody:function(){var e=this;if(e.body=e.service.config.params.Body,"string"==typeof e.body)e.body=i.util.buffer.toBuffer(e.body);else if(!e.body)throw new Error("params.Body is required");e.sliceFn=i.util.arraySliceFn(e.body)},bindServiceObject:function(e){e=e||{};var t=this;if(t.service){var r=t.service,a=i.util.copy(r.config);a.signatureVersion=r.getSignatureVersion(),t.service=new r.constructor.__super__(a),t.service.config.params=i.util.merge(t.service.config.params||{},e)}else t.service=new i.S3({params:e})},adjustTotalBytes:function(){var e=this;try{e.totalBytes=a(e.body)}catch(e){}if(e.totalBytes){var t=Math.ceil(e.totalBytes/e.maxTotalParts);t>e.partSize&&(e.partSize=t)}else e.totalBytes=void 0},isDoneChunking:!1,partPos:0,totalChunkedBytes:0,totalUploadedBytes:0,totalBytes:void 0,numParts:0,totalPartNumbers:0,activeParts:0,doneParts:0,parts:null,completeInfo:null,failed:!1,multipartReq:null,partBuffers:null,partBufferLength:0,fillBuffer:function(){var e=this,t=a(e.body);if(0===t)return e.isDoneChunking=!0,e.numParts=1,void e.nextChunk(e.body);for(;e.activeParts=e.queueSize)){var t=e.body.read(e.partSize-e.partBufferLength)||e.body.read();if(t&&(e.partBuffers.push(t),e.partBufferLength+=t.length,e.totalChunkedBytes+=t.length),e.partBufferLength>=e.partSize){var r=1===e.partBuffers.length?e.partBuffers[0]:s.concat(e.partBuffers);if(e.partBuffers=[],e.partBufferLength=0,r.length>e.partSize){var i=r.slice(e.partSize);e.partBuffers.push(i),e.partBufferLength+=i.length,r=r.slice(0,e.partSize)}e.nextChunk(r)}e.isDoneChunking&&!e.isDoneSending&&(r=1===e.partBuffers.length?e.partBuffers[0]:s.concat(e.partBuffers),e.partBuffers=[],e.partBufferLength=0,e.totalBytes=e.totalChunkedBytes,e.isDoneSending=!0,(0===e.numParts||r.length>0)&&(e.numParts++,e.nextChunk(r))),e.body.read(0)}},nextChunk:function(e){var t=this;if(t.failed)return null;var r=++t.totalPartNumbers;if(t.isDoneChunking&&1===r){var a={Body:e};this.tags&&(a.Tagging=this.getTaggingHeader());var s=t.service.putObject(a);return s._managedUpload=t,s.on("httpUploadProgress",t.progress).send(t.finishSinglePart),t.singlePart=s,null}if(t.service.config.params.ContentMD5){var o=i.util.error(new Error("The Content-MD5 you specified is invalid for multi-part uploads."),{code:"InvalidDigest",retryable:!1});return t.cleanup(o),null}if(t.completeInfo[r]&&null!==t.completeInfo[r].ETag)return null;t.activeParts++,t.service.config.params.UploadId?t.uploadPart(e,r):t.multipartReq?t.queueChunks(e,r):(t.multipartReq=t.service.createMultipartUpload(),t.multipartReq.on("success",function(e){t.service.config.params.UploadId=e.data.UploadId,t.multipartReq=null}),t.queueChunks(e,r),t.multipartReq.on("error",function(e){t.cleanup(e)}),t.multipartReq.send())},getTaggingHeader:function(){for(var e=[],t=0;t-1&&r.splice(a,1)}return this},removeAllListeners:function(e){return e?delete this._events[e]:this._events={},this},emit:function(e,t,r){r||(r=function(){});var i=this.listeners(e),a=i.length;return this.callListeners(i,t,r),a>0},callListeners:function(e,t,r,a){function s(a){if(a&&(n=i.util.error(n||new Error,a),o._haltHandlersOnError))return r.call(o,n);o.callListeners(e,t,r,n)}for(var o=this,n=a||null;e.length>0;){var u=e.shift();if(u._isAsync)return void u.apply(o,t.concat([s]));try{u.apply(o,t)}catch(e){n=i.util.error(n||new Error,e)}if(n&&o._haltHandlersOnError)return void r.call(o,n)}r.call(o,n)},addListeners:function(e){var t=this;return e._events&&(e=e._events),i.util.each(e,function(e,r){"function"==typeof r&&(r=[r]),i.util.arrayEach(r,function(r){t.on(e,r)})}),t},addNamedListener:function(e,t,r,i){return this[e]=r,this.addListener(t,r,i),this},addNamedAsyncListener:function(e,t,r,i){return r._isAsync=!0,this.addNamedListener(e,t,r,i)},addNamedListeners:function(e){var t=this;return e(function(){t.addNamedListener.apply(t,arguments)},function(){t.addNamedAsyncListener.apply(t,arguments)}),this}}),i.SequentialExecutor.prototype.addListener=i.SequentialExecutor.prototype.on,t.exports=i.SequentialExecutor},{"./core":318}],368:[function(e,t,r){(function(r){var i=e("./core"),a=e("./model/api"),s=e("./region_config"),o=i.util.inherit,n=0;i.Service=o({constructor:function(e){if(!this.loadServiceClass)throw i.util.error(new Error,"Service must be constructed with `new' operator");var t=this.loadServiceClass(e||{});if(t){var r=i.util.copy(e),a=new t(e);return Object.defineProperty(a,"_originalConfig",{get:function(){return r},enumerable:!1,configurable:!0}),a._clientId=++n,a}this.initialize(e)},initialize:function(e){var t=i.config[this.serviceIdentifier];if(this.config=new i.Config(i.config),t&&this.config.update(t,!0),e&&this.config.update(e,!0),this.validateService(),this.config.endpoint||s.configureEndpoint(this),this.config.endpoint=this.endpointFromTemplate(this.config.endpoint),this.setEndpoint(this.config.endpoint),i.SequentialExecutor.call(this),i.Service.addDefaultMonitoringListeners(this),(this.config.clientSideMonitoring||i.Service._clientSideMonitoring)&&this.publisher){var a=this.publisher;this.addNamedListener("PUBLISH_API_CALL","apiCall",function(e){r.nextTick(function(){a.eventHandler(e)})}),this.addNamedListener("PUBLISH_API_ATTEMPT","apiCallAttempt",function(e){r.nextTick(function(){a.eventHandler(e)})})}},validateService:function(){},loadServiceClass:function(e){var t=e;if(i.util.isEmpty(this.api)){if(t.apiConfig)return i.Service.defineServiceApi(this.constructor,t.apiConfig);if(this.constructor.services){t=new i.Config(i.config),t.update(e,!0);var r=t.apiVersions[this.constructor.serviceIdentifier];return r=r||t.apiVersion,this.getLatestServiceClass(r)}return null}return null},getLatestServiceClass:function(e){return e=this.getLatestServiceVersion(e),null===this.constructor.services[e]&&i.Service.defineServiceApi(this.constructor,e),this.constructor.services[e]},getLatestServiceVersion:function(e){if(!this.constructor.services||0===this.constructor.services.length)throw new Error("No services defined on "+this.constructor.serviceIdentifier);if(e?i.util.isType(e,Date)&&(e=i.util.date.iso8601(e).split("T")[0]):e="latest",Object.hasOwnProperty(this.constructor.services,e))return e;for(var t=Object.keys(this.constructor.services).sort(),r=null,a=t.length-1;a>=0;a--)if("*"!==t[a][t[a].length-1]&&(r=t[a]),t[a].substr(0,10)<=e)return r;throw new Error("Could not find "+this.constructor.serviceIdentifier+" API to satisfy version constraint `"+e+"'")},api:{},defaultRetryCount:3,customizeRequests:function(e){if(e){if("function"!=typeof e)throw new Error("Invalid callback type '"+typeof e+"' provided in customizeRequests");this.customRequestHandler=e}else this.customRequestHandler=null},makeRequest:function(e,t,r){if("function"==typeof t&&(r=t,t=null),t=t||{},this.config.params){var a=this.api.operations[e];a&&(t=i.util.copy(t),i.util.each(this.config.params,function(e,r){a.input.members[e]&&(void 0!==t[e]&&null!==t[e]||(t[e]=r))}))}var s=new i.Request(this,e,t);return this.addAllRequestListeners(s),this.attachMonitoringEmitter(s),r&&s.send(r),s},makeUnauthenticatedRequest:function(e,t,r){"function"==typeof t&&(r=t,t={});var i=this.makeRequest(e,t).toUnauthenticated();return r?i.send(r):i},waitFor:function(e,t,r){return new i.ResourceWaiter(this,e).wait(t,r)},addAllRequestListeners:function(e){for(var t=[i.events,i.EventListeners.Core,this.serviceInterface(),i.EventListeners.CorePost],r=0;r299?(a.code&&(r.FinalAwsException=a.code),a.message&&(r.FinalAwsExceptionMessage=a.message)):((a.code||a.name)&&(r.FinalSdkException=a.code||a.name),a.message&&(r.FinalSdkExceptionMessage=a.message))}return r},apiAttemptEvent:function(e){var t=e.service.api.operations[e.operation],r={Type:"ApiCallAttempt",Api:t?t.name:e.operation,Version:1,Service:e.service.api.serviceId||e.service.api.endpointPrefix,Fqdn:e.httpRequest.endpoint.hostname,UserAgent:e.httpRequest.getUserAgent()},i=e.response;return i.httpResponse.statusCode&&(r.HttpStatusCode=i.httpResponse.statusCode),!e._unAuthenticated&&e.service.config.credentials&&e.service.config.credentials.accessKeyId&&(r.AccessKey=e.service.config.credentials.accessKeyId),i.httpResponse.headers?(e.httpRequest.headers["x-amz-security-token"]&&(r.SessionToken=e.httpRequest.headers["x-amz-security-token"]),i.httpResponse.headers["x-amzn-requestid"]&&(r.XAmznRequestId=i.httpResponse.headers["x-amzn-requestid"]),i.httpResponse.headers["x-amz-request-id"]&&(r.XAmzRequestId=i.httpResponse.headers["x-amz-request-id"]),i.httpResponse.headers["x-amz-id-2"]&&(r.XAmzId2=i.httpResponse.headers["x-amz-id-2"]),r):r},attemptFailEvent:function(e){var t=this.apiAttemptEvent(e),r=e.response,i=r.error;return r.httpResponse.statusCode>299?(i.code&&(t.AwsException=i.code),i.message&&(t.AwsExceptionMessage=i.message)):((i.code||i.name)&&(t.SdkException=i.code||i.name),i.message&&(t.SdkExceptionMessage=i.message)),t},attachMonitoringEmitter:function(e){var t,r,a,s,o,n,u=0,p=this;e.on("validate",function(){s=i.util.realClock.now(),n=Date.now()},!0),e.on("sign",function(){r=i.util.realClock.now(),t=Date.now(),o=e.httpRequest.region,u++},!0),e.on("validateResponse",function(){a=Math.round(i.util.realClock.now()-r)}),e.addNamedListener("API_CALL_ATTEMPT","success",function(){var r=p.apiAttemptEvent(e);r.Timestamp=t,r.AttemptLatency=a>=0?a:0,r.Region=o,p.emit("apiCallAttempt",[r])}),e.addNamedListener("API_CALL_ATTEMPT_RETRY","retry",function(){var s=p.attemptFailEvent(e);s.Timestamp=t,a=a||Math.round(i.util.realClock.now()-r),s.AttemptLatency=a>=0?a:0,s.Region=o,p.emit("apiCallAttempt",[s])}),e.addNamedListener("API_CALL","complete",function(){var t=p.apiCallEvent(e);if(t.AttemptCount=u,!(t.AttemptCount<=0)){t.Timestamp=n;var r=Math.round(i.util.realClock.now()-s);t.Latency=r>=0?r:0;var a=e.response;"number"==typeof a.retryCount&&"number"==typeof a.maxRetries&&a.retryCount>=a.maxRetries&&(t.MaxRetriesExceeded=1),p.emit("apiCall",[t])}})},setupRequestListeners:function(e){},getSignerClass:function(e){var t,r=null,a="";if(e){r=(e.service.api.operations||{})[e.operation]||null,a=r?r.authtype:""}return t=this.config.signatureVersion?this.config.signatureVersion:"v4"===a||"v4-unsigned-body"===a?"v4":this.api.signatureVersion,i.Signers.RequestSigner.getVersion(t)},serviceInterface:function(){switch(this.api.protocol){case"ec2":case"query":return i.EventListeners.Query;case"json":return i.EventListeners.Json;case"rest-json":return i.EventListeners.RestJson;case"rest-xml":return i.EventListeners.RestXml}if(this.api.protocol)throw new Error("Invalid service `protocol' "+this.api.protocol+" in API config")},successfulResponse:function(e){return e.httpResponse.statusCode<300},numRetries:function(){return void 0!==this.config.maxRetries?this.config.maxRetries:this.defaultRetryCount},retryDelays:function(e,t){return i.util.calculateRetryDelay(e,this.config.retryDelayOptions,t)},retryableError:function(e){return!!this.timeoutError(e)||(!!this.networkingError(e)||(!!this.expiredCredentialsError(e)||(!!this.throttledError(e)||e.statusCode>=500)))},networkingError:function(e){return"NetworkingError"===e.code},timeoutError:function(e){return"TimeoutError"===e.code},expiredCredentialsError:function(e){return"ExpiredTokenException"===e.code},clockSkewError:function(e){switch(e.code){case"RequestTimeTooSkewed":case"RequestExpired":case"InvalidSignatureException":case"SignatureDoesNotMatch":case"AuthFailure":case"RequestInTheFuture":return!0;default:return!1}},getSkewCorrectedDate:function(){return new Date(Date.now()+this.config.systemClockOffset)},applyClockOffset:function(e){e&&(this.config.systemClockOffset=e-Date.now())},isClockSkewed:function(e){if(e)return Math.abs(this.getSkewCorrectedDate().getTime()-e)>=3e5},throttledError:function(e){if(429===e.statusCode)return!0;switch(e.code){case"ProvisionedThroughputExceededException":case"Throttling":case"ThrottlingException":case"RequestLimitExceeded":case"RequestThrottled":case"RequestThrottledException":case"TooManyRequestsException":case"TransactionInProgressException":return!0;default:return!1}},endpointFromTemplate:function(e){if("string"!=typeof e)return e;var t=e;return t=t.replace(/\{service\}/g,this.api.endpointPrefix),t=t.replace(/\{region\}/g,this.config.region),t=t.replace(/\{scheme\}/g,this.config.sslEnabled?"https":"http")},setEndpoint:function(e){this.endpoint=new i.Endpoint(e,this.config)},paginationConfig:function(e,t){var r=this.api.operations[e].paginator;if(!r){if(t){var a=new Error;throw i.util.error(a,"No pagination configuration for "+e)}return null}return r}}),i.util.update(i.Service,{defineMethods:function(e){i.util.each(e.prototype.api.operations,function(t){if(!e.prototype[t]){"none"===e.prototype.api.operations[t].authtype?e.prototype[t]=function(e,r){return this.makeUnauthenticatedRequest(t,e,r)}:e.prototype[t]=function(e,r){return this.makeRequest(t,e,r)}}})},defineService:function(e,t,r){i.Service._serviceMap[e]=!0,Array.isArray(t)||(r=t,t=[]);var a=o(i.Service,r||{});if("string"==typeof e){i.Service.addVersions(a,t);var s=a.serviceIdentifier||e;a.serviceIdentifier=s}else a.prototype.api=e,i.Service.defineMethods(a);if(i.SequentialExecutor.call(this.prototype),!this.prototype.publisher&&i.util.clientSideMonitoring){var n=i.util.clientSideMonitoring.Publisher,u=i.util.clientSideMonitoring.configProvider,p=u();this.prototype.publisher=new n(p),p.enabled&&(i.Service._clientSideMonitoring=!0)}return i.SequentialExecutor.call(a.prototype),i.Service.addDefaultMonitoringListeners(a.prototype),a},addVersions:function(e,t){Array.isArray(t)||(t=[t]),e.services=e.services||{};for(var r=0;r=0){throw i.util.error(new Error,{name:"InvalidEndpoint",message:"AWS.IotData requires an explicit `endpoint' configuration option."})}},setupRequestListeners:function(e){e.addListener("validateResponse",this.validateResponseBody),a.indexOf(e.operation)>-1&&e.addListener("extractData",i.util.convertPayloadToString)},validateResponseBody:function(e){var t=e.httpResponse.body.toString()||"{}",r=t.trim();r&&"{"===r.charAt(0)||(e.httpResponse.body="")}})},{"../core":318}],375:[function(e,t,r){var i=e("../core");i.util.update(i.Lambda.prototype,{setupRequestListeners:function(e){"invoke"===e.operation&&e.addListener("extractData",i.util.convertPayloadToString)}})},{"../core":318}],376:[function(e,t,r){var i=e("../core");i.util.update(i.MachineLearning.prototype,{setupRequestListeners:function(e){"predict"===e.operation&&e.addListener("build",this.buildEndpoint)},buildEndpoint:function(e){var t=e.params.PredictEndpoint;t&&(e.httpRequest.endpoint=new i.Endpoint(t))}})},{"../core":318}],377:[function(e,t,r){e("../polly/presigner")},{"../polly/presigner":351}],378:[function(e,t,r){var i=e("../core");e("../rds/signer");var a=["copyDBSnapshot","createDBInstanceReadReplica","createDBCluster","copyDBClusterSnapshot"];i.util.update(i.RDS.prototype,{setupRequestListeners:function(e){if(-1!==a.indexOf(e.operation)&&e.params.SourceRegion)if(e.params=i.util.copy(e.params),e.params.PreSignedUrl||e.params.SourceRegion===this.config.region)delete e.params.SourceRegion;else{var t=!!this.config.paramValidation;t&&e.removeListener("validate",i.EventListeners.Core.VALIDATE_PARAMETERS),e.onAsync("validate",this.buildCrossRegionPresignedUrl),t&&e.addListener("validate",i.EventListeners.Core.VALIDATE_PARAMETERS)}},buildCrossRegionPresignedUrl:function(e,t){var r=i.util.copy(e.service.config);r.region=e.params.SourceRegion,delete e.params.SourceRegion,delete r.endpoint,delete r.params,r.signatureVersion="v4";var a=e.service.config.region,s=new e.service.constructor(r),o=s[e.operation](i.util.copy(e.params));o.on("build",function(e){var t=e.httpRequest;t.params.DestinationRegion=a,t.body=i.util.queryParamsToString(t.params)}),o.presign(function(r,i){r?t(r):(e.params.PreSignedUrl=i,t())})}})},{"../core":318,"../rds/signer":359}],379:[function(e,t,r){var i=e("../core");i.util.update(i.Route53.prototype,{setupRequestListeners:function(e){e.on("build",this.sanitizeUrl)},sanitizeUrl:function(e){var t=e.httpRequest.path;e.httpRequest.path=t.replace(/\/%2F\w+%2F/,"/")},retryableError:function(e){return"PriorRequestNotComplete"===e.code&&400===e.statusCode||i.Service.prototype.retryableError.call(this,e)}})},{"../core":318}],380:[function(e,t,r){(function(t){var r=e("../core"),i=e("../signers/v4_credentials"),a=e("../config_regional_endpoint"),s=e("../region_config");e("../s3/managed_upload");var o={completeMultipartUpload:!0,copyObject:!0,uploadPartCopy:!0
-},n=["AuthorizationHeaderMalformed","BadRequest","PermanentRedirect",301];r.util.update(r.S3.prototype,{getSignatureVersion:function(e){var t=this.api.signatureVersion,r=this._originalConfig?this._originalConfig.signatureVersion:null,i=this.config.signatureVersion,a=!!e&&e.isPresigned();return r?r="v2"===r?"s3":r:(!0!==a?t="v4":i&&(t=i),t)},getSignerClass:function(e){var t=this.getSignatureVersion(e);return r.Signers.RequestSigner.getVersion(t)},validateService:function(){var e,t=[];if(this.config.region||(this.config.region="us-east-1"),!this.config.endpoint&&this.config.s3BucketEndpoint&&t.push("An endpoint must be provided when configuring `s3BucketEndpoint` to true."),1===t.length?e=t[0]:t.length>1&&(e="Multiple configuration errors:\n"+t.join("\n")),e)throw r.util.error(new Error,{name:"InvalidEndpoint",message:e})},shouldDisableBodySigning:function(e){var t=this.getSignerClass();return!0===this.config.s3DisableBodySigning&&t===r.Signers.V4&&"https:"===e.httpRequest.endpoint.protocol},setupRequestListeners:function(e){if(e.addListener("validate",this.validateScheme),e.addListener("validate",this.validateBucketName,!0),e.addListener("validate",this.optInUsEast1RegionalEndpoint,!0),e.removeListener("validate",r.EventListeners.Core.VALIDATE_REGION),e.addListener("build",this.addContentType),e.addListener("build",this.computeContentMd5),e.addListener("build",this.computeSseCustomerKeyMd5),e.addListener("build",this.populateURI),e.addListener("afterBuild",this.addExpect100Continue),e.addListener("extractError",this.extractError),e.addListener("extractData",r.util.hoistPayloadMember),e.addListener("extractData",this.extractData),e.addListener("beforePresign",this.prepareSignedUrl),this.shouldDisableBodySigning(e)&&(e.removeListener("afterBuild",r.EventListeners.Core.COMPUTE_SHA256),e.addListener("afterBuild",this.disableBodySigning)),this.isAccessPointApplicable(e))return e.removeListener("validate",this.validateBucketName),e.addListener("validate",this.validateAccessPointArn,!0),e.addListener("validate",this.validateArnRegion),e.removeListener("build",this.populateURI),void e.addListener("build",this.populateUriFromAccessPoint);e.addListener("validate",this.validateBucketEndpoint),e.addListener("validate",this.correctBucketRegionFromCache),e.onAsync("extractError",this.requestBucketRegion),r.util.isBrowser()&&e.onAsync("retry",this.reqRegionForNetworkingError)},validateScheme:function(e){var t=e.params,i=e.httpRequest.endpoint.protocol;if((t.SSECustomerKey||t.CopySourceSSECustomerKey)&&"https:"!==i)throw r.util.error(new Error,{code:"ConfigError",message:"Cannot send SSE keys over HTTP. Set 'sslEnabled'to 'true' in your configuration"})},validateBucketEndpoint:function(e){if(!e.params.Bucket&&e.service.config.s3BucketEndpoint){throw r.util.error(new Error,{code:"ConfigError",message:"Cannot send requests to root API with `s3BucketEndpoint` set."})}},isAccessPointApplicable:function(e){var t=(e.service.api.operations[e.operation]||{}).input||{},i=t.members||{};return!("createBucket"===e.operation||!e.params.Bucket||!i.Bucket)&&!!r.util.ARN.validate(e.params.Bucket)},validateAccessPointArn:function(e){var t=r.util.ARN.parse(e.params.Bucket);e._parsedAccessPointArn=t;var t=e._parsedAccessPointArn;if("s3"!==t.service)throw r.util.error(new Error,{code:"InvalidAccessPointARN",message:"expect 's3' in access point ARN service component"});if(!t.region)throw r.util.error(new Error,{code:"InvalidAccessPointARN",message:"Access point ARN region is empty"});if(0!==t.resource.indexOf("accesspoint:")&&0!==t.resource.indexOf("accesspoint/"))throw r.util.error(new Error,{code:"InvalidAccessPointARN",message:"Access point ARN resource should begin with 'accesspoint/'"});var i=t.resource["accesspoint".length];if(2!==t.resource.split(i).length)throw r.util.error(new Error,{code:"InvalidAccessPointARN",message:"Too many resource parameters in access point ARN"});var a=t.resource.split(i)[1],s=a+"-"+t.accountId;if(!e.service.isDnsCompatible(s)||s.match(/\./))throw r.util.error(new Error,{code:"InvalidAccessPointARN",message:"Access point ARN is not DNS compatible. Got "+a});e._parsedAccessPointArn.accessPoint=a},validateArnRegion:function(e){var t=e.service.loadUseArnRegionConfig(e),i=e._parsedAccessPointArn.region,a=e.service.config.region;if(a.indexOf("fips")>=0||i.indexOf("fips")>=0)throw r.util.error(new Error,{code:"InvalidConfiguration",message:"Access point endpoint is not compatible with FIPS region"});if(!t&&i!==a)throw r.util.error(new Error,{code:"InvalidConfiguration",message:"Configured region conflicts with access point region"});if(t&&s.getEndpointSuffix(i)!==s.getEndpointSuffix(a))throw r.util.error(new Error,{code:"InvalidConfiguration",message:"Configured region and access point region not in same partition"});if(e.service.config.useAccelerateEndpoint)throw r.util.error(new Error,{code:"InvalidConfiguration",message:"useAccelerateEndpoint config is not supported with access point ARN"})},loadUseArnRegionConfig:function(e){var i="AWS_S3_USE_ARN_REGION",a="s3_use_arn_region",s=!0,o=e.service._originalConfig||{};if(void 0!==e.service.config.s3UseArnRegion)return e.service.config.s3UseArnRegion;if(void 0!==o.s3UseArnRegion)s=!0===o.s3UseArnRegion;else if(r.util.isNode())if(t.env[i]){var n=t.env[i].trim().toLowerCase();if(["false","true"].indexOf(n)<0)throw r.util.error(new Error,{code:"InvalidConfiguration",message:i+" only accepts true or false. Got "+t.env[i],retryable:!1});s="true"===n}else{var u={},p={};try{u=r.util.getProfilesFromSharedConfig(r.util.iniLoader),p=u[t.env.AWS_PROFILE||r.util.defaultProfile]}catch(e){}if(p[a]){if(["false","true"].indexOf(p[a].trim().toLowerCase())<0)throw r.util.error(new Error,{code:"InvalidConfiguration",message:a+" only accepts true or false. Got "+p[a],retryable:!1});s="true"===p[a].trim().toLowerCase()}}return e.service.config.s3UseArnRegion=s,s},validateBucketName:function(e){var t=e.service,i=t.getSignatureVersion(e),a=e.params&&e.params.Bucket,s=e.params&&e.params.Key,o=a&&a.indexOf("/");if(a&&o>=0)if("string"==typeof s&&o>0){e.params=r.util.copy(e.params);var n=a.substr(o+1)||"";e.params.Key=n+"/"+s,e.params.Bucket=a.substr(0,o)}else if("v4"===i){var u="Bucket names cannot contain forward slashes. Bucket: "+a;throw r.util.error(new Error,{code:"InvalidBucket",message:u})}},isValidAccelerateOperation:function(e){return-1===["createBucket","deleteBucket","listBuckets"].indexOf(e)},optInUsEast1RegionalEndpoint:function(e){var t=e.service,r=t.config;if(r.s3UsEast1RegionalEndpoint=a(t._originalConfig,{env:"AWS_S3_US_EAST_1_REGIONAL_ENDPOINT",sharedConfig:"s3_us_east_1_regional_endpoint",clientConfig:"s3UsEast1RegionalEndpoint"}),!(t._originalConfig||{}).endpoint&&"us-east-1"===e.httpRequest.region&&"regional"===r.s3UsEast1RegionalEndpoint&&e.httpRequest.endpoint.hostname.indexOf("s3.amazonaws.com")>=0){var i=r.endpoint.indexOf(".amazonaws.com");regionalEndpoint=r.endpoint.substring(0,i)+".us-east-1"+r.endpoint.substring(i);var s=e.httpRequest.endpoint;s.hostname=regionalEndpoint,s.host=regionalEndpoint}},populateURI:function(e){var t=e.httpRequest,r=e.params.Bucket,i=e.service,a=t.endpoint;if(r&&!i.pathStyleBucketName(r)){i.config.useAccelerateEndpoint&&i.isValidAccelerateOperation(e.operation)?i.config.useDualstack?a.hostname=r+".s3-accelerate.dualstack.amazonaws.com":a.hostname=r+".s3-accelerate.amazonaws.com":i.config.s3BucketEndpoint||(a.hostname=r+"."+a.hostname);var s=a.port;a.host=80!==s&&443!==s?a.hostname+":"+a.port:a.hostname,t.virtualHostedBucket=r,i.removeVirtualHostedBucketFromPath(e)}},removeVirtualHostedBucketFromPath:function(e){var t=e.httpRequest,i=t.virtualHostedBucket;if(i&&t.path){if(e.params&&e.params.Key){var a="/"+r.util.uriEscapePath(e.params.Key);if(0===t.path.indexOf(a)&&(t.path.length===a.length||"?"===t.path[a.length]))return}t.path=t.path.replace(new RegExp("/"+i),""),"/"!==t.path[0]&&(t.path="/"+t.path)}},populateUriFromAccessPoint:function(e){if(e.service._originalConfig.endpoint)throw r.util.error(new Error,{code:"InvalidConfiguration",message:"Custom endpoint is not compatible with access point ARN"});if(e.service.config.s3ForcePathStyle)throw r.util.error(new Error,{code:"InvalidConfiguration",message:"Cannot construct path-style endpoint with access point"});var t=e._parsedAccessPointArn,i=e.service.config.useDualstack?"s3-accesspoint.dualstack":"s3-accesspoint",a=e.httpRequest.endpoint,o=s.getEndpointSuffix(t.region),n=e.service.config.s3UseArnRegion;a.hostname=[t.accessPoint+"-"+t.accountId,i,n?t.region:e.service.config.region,o].join("."),a.host=a.hostname;var u=r.util.uriEscapePath(e.params.Bucket),p=e.httpRequest.path;e.httpRequest.path=p.replace(new RegExp("/"+u),""),e.httpRequest.region=t.region},addExpect100Continue:function(e){var t=e.httpRequest.headers["Content-Length"];r.util.isNode()&&(t>=1048576||e.params.Body instanceof r.util.stream.Stream)&&(e.httpRequest.headers.Expect="100-continue")},addContentType:function(e){var t=e.httpRequest;if("GET"===t.method||"HEAD"===t.method)return void delete t.headers["Content-Type"];t.headers["Content-Type"]||(t.headers["Content-Type"]="application/octet-stream");var i=t.headers["Content-Type"];if(r.util.isBrowser())if("string"!=typeof t.body||i.match(/;\s*charset=/)){var a=function(e,t,r){return t+r.toUpperCase()};t.headers["Content-Type"]=i.replace(/(;\s*charset=)(.+)$/,a)}else{t.headers["Content-Type"]+="; charset=UTF-8"}},computableChecksumOperations:{putBucketCors:!0,putBucketLifecycle:!0,putBucketLifecycleConfiguration:!0,putBucketTagging:!0,deleteObjects:!0,putBucketReplication:!0,putObjectLegalHold:!0,putObjectRetention:!0,putObjectLockConfiguration:!0},willComputeChecksums:function(e){if(this.computableChecksumOperations[e.operation])return!0;if(!this.config.computeChecksums)return!1;if(!r.util.Buffer.isBuffer(e.httpRequest.body)&&"string"!=typeof e.httpRequest.body)return!1;var t=e.service.api.operations[e.operation].input.members;return!(!e.service.shouldDisableBodySigning(e)||Object.prototype.hasOwnProperty.call(e.httpRequest.headers,"presigned-expires")||!t.ContentMD5||e.params.ContentMD5)||!(e.service.getSignerClass(e)===r.Signers.V4&&t.ContentMD5&&!t.ContentMD5.required)&&(!(!t.ContentMD5||e.params.ContentMD5)||void 0)},computeContentMd5:function(e){if(e.service.willComputeChecksums(e)){var t=r.util.crypto.md5(e.httpRequest.body,"base64");e.httpRequest.headers["Content-MD5"]=t}},computeSseCustomerKeyMd5:function(e){var t={SSECustomerKey:"x-amz-server-side-encryption-customer-key-MD5",CopySourceSSECustomerKey:"x-amz-copy-source-server-side-encryption-customer-key-MD5"};r.util.each(t,function(t,i){if(e.params[t]){var a=r.util.crypto.md5(e.params[t],"base64");e.httpRequest.headers[i]=a}})},pathStyleBucketName:function(e){return!!this.config.s3ForcePathStyle||!this.config.s3BucketEndpoint&&(!this.isDnsCompatible(e)||!(!this.config.sslEnabled||!e.match(/\./)))},isDnsCompatible:function(e){var t=e,r=new RegExp(/^[a-z0-9][a-z0-9\.\-]{1,61}[a-z0-9]$/),i=new RegExp(/(\d+\.){3}\d+/),a=new RegExp(/\.\./);return!(!t.match(r)||t.match(i)||t.match(a))},successfulResponse:function(e){var t=e.request,r=e.httpResponse;return(!o[t.operation]||!r.body.toString().match(""))&&r.statusCode<300},retryableError:function(e,t){return!(!o[t.operation]||200!==e.statusCode)||(!t._requestRegionForBucket||!t.service.bucketRegionCache[t._requestRegionForBucket])&&(!(!e||"RequestTimeout"!==e.code)||(e&&-1!=n.indexOf(e.code)&&e.region&&e.region!=t.httpRequest.region?(t.httpRequest.region=e.region,301===e.statusCode&&t.service.updateReqBucketRegion(t),!0):r.Service.prototype.retryableError.call(this,e,t)))},updateReqBucketRegion:function(e,t){var i=e.httpRequest;if("string"==typeof t&&t.length&&(i.region=t),i.endpoint.host.match(/s3(?!-accelerate).*\.amazonaws\.com$/)){var a=e.service,s=a.config,o=s.s3BucketEndpoint;o&&delete s.s3BucketEndpoint;var n=r.util.copy(s);delete n.endpoint,n.region=i.region,i.endpoint=new r.S3(n).endpoint,a.populateURI(e),s.s3BucketEndpoint=o,i.headers.Host=i.endpoint.host,"validate"===e._asm.currentState&&(e.removeListener("build",a.populateURI),e.addListener("build",a.removeVirtualHostedBucketFromPath))}},extractData:function(e){var t=e.request;if("getBucketLocation"===t.operation){var r=e.httpResponse.body.toString().match(/>(.+)<\/Location/);delete e.data._,e.data.LocationConstraint=r?r[1]:""}var i=t.params.Bucket||null;if("deleteBucket"!==t.operation||"string"!=typeof i||e.error){var a=e.httpResponse.headers||{},s=a["x-amz-bucket-region"]||null;if(!s&&"createBucket"===t.operation&&!e.error){var o=t.params.CreateBucketConfiguration;s=o?"EU"===o.LocationConstraint?"eu-west-1":o.LocationConstraint:"us-east-1"}s&&i&&s!==t.service.bucketRegionCache[i]&&(t.service.bucketRegionCache[i]=s)}else t.service.clearBucketRegionCache(i);t.service.extractRequestIds(e)},extractError:function(e){var t={304:"NotModified",403:"Forbidden",400:"BadRequest",404:"NotFound"},i=e.request,a=e.httpResponse.statusCode,s=e.httpResponse.body||"",o=e.httpResponse.headers||{},n=o["x-amz-bucket-region"]||null,u=i.params.Bucket||null,p=i.service.bucketRegionCache;n&&u&&n!==p[u]&&(p[u]=n);var m;if(t[a]&&0===s.length)u&&!n&&(m=p[u]||null)!==i.httpRequest.region&&(n=m),e.error=r.util.error(new Error,{code:t[a],message:null,region:n});else{var c=(new r.XML.Parser).parse(s.toString());c.Region&&!n?(n=c.Region,u&&n!==p[u]&&(p[u]=n)):!u||n||c.Region||(m=p[u]||null)!==i.httpRequest.region&&(n=m),e.error=r.util.error(new Error,{code:c.Code||a,message:c.Message||null,region:n})}i.service.extractRequestIds(e)},requestBucketRegion:function(e,t){var i=e.error,a=e.request,s=a.params.Bucket||null;if(!i||!s||i.region||"listObjects"===a.operation||r.util.isNode()&&"headBucket"===a.operation||400===i.statusCode&&"headObject"!==a.operation||-1===n.indexOf(i.code))return t();var o=r.util.isNode()?"headBucket":"listObjects",u={Bucket:s};"listObjects"===o&&(u.MaxKeys=0);var p=a.service[o](u);p._requestRegionForBucket=s,p.send(function(){var e=a.service.bucketRegionCache[s]||null;i.region=e,t()})},reqRegionForNetworkingError:function(e,t){if(!r.util.isBrowser())return t();var i=e.error,a=e.request,s=a.params.Bucket;if(!i||"NetworkingError"!==i.code||!s||"us-east-1"===a.httpRequest.region)return t();var o=a.service,n=o.bucketRegionCache,u=n[s]||null;if(u&&u!==a.httpRequest.region)o.updateReqBucketRegion(a,u),t();else if(o.isDnsCompatible(s))if(a.httpRequest.virtualHostedBucket){var p=o.listObjects({Bucket:s,MaxKeys:0});o.updateReqBucketRegion(p,"us-east-1"),p._requestRegionForBucket=s,p.send(function(){var e=o.bucketRegionCache[s]||null;e&&e!==a.httpRequest.region&&o.updateReqBucketRegion(a,e),t()})}else t();else o.updateReqBucketRegion(a,"us-east-1"),"us-east-1"!==n[s]&&(n[s]="us-east-1"),t()},bucketRegionCache:{},clearBucketRegionCache:function(e){var t=this.bucketRegionCache;e?"string"==typeof e&&(e=[e]):e=Object.keys(t);for(var r=0;r0&&t.throwInvalidChecksumError(e,s,"Invalid messages: "+a.join(", "))}},verifyReceiveMessageChecksum:function(e){if(e.data){var t=this.service,r=[];i.util.arrayEach(e.data.Messages,function(e){var i=e.MD5OfBody,a=e.Body;t.isChecksumValid(i,a)||r.push(e.MessageId)}),r.length>0&&t.throwInvalidChecksumError(e,r,"Invalid messages: "+r.join(", "))}},throwInvalidChecksumError:function(e,t,r){e.error=i.util.error(new Error,{retryable:!0,code:"InvalidChecksum",messageIds:t,message:e.request.operation+" returned an invalid MD5 response. "+r})},isChecksumValid:function(e,t){return this.calculateChecksum(t)===e},calculateChecksum:function(e){return i.util.crypto.md5(e,"hex")},buildEndpoint:function(e){var t=e.httpRequest.params.QueueUrl;if(t){e.httpRequest.endpoint=new i.Endpoint(t);var r=e.httpRequest.endpoint.host.match(/^sqs\.(.+?)\./);r&&(e.httpRequest.region=r[1])}}})},{"../core":318}],382:[function(e,t,r){var i=e("../core"),a=e("../config_regional_endpoint");i.util.update(i.STS.prototype,{credentialsFrom:function(e,t){return e?(t||(t=new i.TemporaryCredentials),t.expired=!1,t.accessKeyId=e.Credentials.AccessKeyId,t.secretAccessKey=e.Credentials.SecretAccessKey,t.sessionToken=e.Credentials.SessionToken,t.expireTime=e.Credentials.Expiration,t):null},assumeRoleWithWebIdentity:function(e,t){return this.makeUnauthenticatedRequest("assumeRoleWithWebIdentity",e,t)},assumeRoleWithSAML:function(e,t){return this.makeUnauthenticatedRequest("assumeRoleWithSAML",e,t)},setupRequestListeners:function(e){e.addListener("validate",this.optInRegionalEndpoint,!0)},optInRegionalEndpoint:function(e){var t=e.service,r=t.config;if(r.stsRegionalEndpoints=a(t._originalConfig,{env:"AWS_STS_REGIONAL_ENDPOINTS",sharedConfig:"sts_regional_endpoints",clientConfig:"stsRegionalEndpoints"}),"regional"===r.stsRegionalEndpoints&&t.isGlobalEndpoint){if(!r.region)throw i.util.error(new Error,{code:"ConfigError",message:"Missing region in config"});var s=r.endpoint.indexOf(".amazonaws.com");regionalEndpoint=r.endpoint.substring(0,s)+"."+r.region+r.endpoint.substring(s);var o=e.httpRequest.endpoint;o.hostname=regionalEndpoint,o.host=regionalEndpoint,e.httpRequest.region=r.region}}})},{"../config_regional_endpoint":317,"../core":318}],383:[function(e,t,r){function i(e){var t=e.httpRequest.headers[n],r=e.service.getSignerClass(e);if(delete e.httpRequest.headers["User-Agent"],delete e.httpRequest.headers["X-Amz-User-Agent"],r===s.Signers.V4){if(t>604800){throw s.util.error(new Error,{code:"InvalidExpiryTime",message:"Presigning does not support expiry time greater than a week with SigV4 signing.",retryable:!1})}e.httpRequest.headers[n]=t}else{if(r!==s.Signers.S3)throw s.util.error(new Error,{message:"Presigning only supports S3 or SigV4 signing.",code:"UnsupportedSigner",retryable:!1});var i=e.service?e.service.getSkewCorrectedDate():s.util.date.getDate();e.httpRequest.headers[n]=parseInt(s.util.date.unixTimestamp(i)+t,10).toString()}}function a(e){var t=e.httpRequest.endpoint,r=s.util.urlParse(e.httpRequest.path),i={};r.search&&(i=s.util.queryStringParse(r.search.substr(1)));var a=e.httpRequest.headers.Authorization.split(" ");if("AWS"===a[0])a=a[1].split(":"),i.AWSAccessKeyId=a[0],i.Signature=a[1],s.util.each(e.httpRequest.headers,function(e,t){e===n&&(e="Expires"),0===e.indexOf("x-amz-meta-")&&(delete i[e],e=e.toLowerCase()),i[e]=t}),delete e.httpRequest.headers[n],delete i.Authorization,delete i.Host;else if("AWS4-HMAC-SHA256"===a[0]){a.shift();var o=a.join(" "),u=o.match(/Signature=(.*?)(?:,|\s|\r?\n|$)/)[1];i["X-Amz-Signature"]=u,delete i.Expires}t.pathname=r.pathname,t.search=s.util.queryParamsToString(i)}var s=e("../core"),o=s.util.inherit,n="presigned-expires";s.Signers.Presign=o({sign:function(e,t,r){if(e.httpRequest.headers[n]=t||3600,e.on("build",i),e.on("sign",a),e.removeListener("afterBuild",s.EventListeners.Core.SET_CONTENT_LENGTH),e.removeListener("afterBuild",s.EventListeners.Core.COMPUTE_SHA256),e.emit("beforePresign",[e]),!r){if(e.build(),e.response.error)throw e.response.error;return s.util.urlFormat(e.httpRequest.endpoint)}e.build(function(){this.response.error?r(this.response.error):r(null,s.util.urlFormat(e.httpRequest.endpoint))})}}),t.exports=s.Signers.Presign},{"../core":318}],384:[function(e,t,r){var i=e("../core"),a=i.util.inherit;i.Signers.RequestSigner=a({constructor:function(e){this.request=e},setServiceClientId:function(e){this.serviceClientId=e},getServiceClientId:function(){return this.serviceClientId}}),i.Signers.RequestSigner.getVersion=function(e){switch(e){case"v2":return i.Signers.V2;case"v3":return i.Signers.V3;case"s3v4":case"v4":return i.Signers.V4;case"s3":return i.Signers.S3;case"v3https":return i.Signers.V3Https}throw new Error("Unknown signing version "+e)},e("./v2"),e("./v3"),e("./v3https"),e("./v4"),e("./s3"),e("./presign")},{"../core":318,"./presign":383,"./s3":385,"./v2":386,"./v3":387,"./v3https":388,"./v4":389}],385:[function(e,t,r){var 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