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*ModelMetadataServiceApi* | [**model_metadata_service_list_model_metadata**](docs/ModelMetadataServiceApi.md#model_metadata_service_list_model_metadata) | **GET** /model/metadata | List Model Metadata entries.
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*ModelMetadataServiceApi* | [**model_metadata_service_list_runtime_metadata_for_model**](docs/ModelMetadataServiceApi.md#model_metadata_service_list_runtime_metadata_for_model) | **GET** /model/metadata/runtime | List Runtime Metadata for all deployments associated with a model.
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*ModelMetadataServiceApi* | [**model_metadata_service_update_model_metadata**](docs/ModelMetadataServiceApi.md#model_metadata_service_update_model_metadata) | **PUT** /model/metadata | Update a Model Metadata entry.
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**aggregate_over_time** | **bool** | AggregateOverTime is a boolean to decide if the distribution response is to be aggregated over the time period selected | [optional]
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**deployment_kind** | **str** | DeploymentType refers to kubernetes kind of the deployment relevant to the feature distribution query | [optional]
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**deployment_name** | **str** | DeploymentName refers to name of the deployment relevant to the feature distribution query | [optional]
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**deployment_namespace** | **str** | DeploymentNamespace refers to namespace of the deployment relevant to the feature distribution query | [optional]
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**feature** | **str** | FeatureName refers to the name of feature as per the model predictions schema | [optional]
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**filters** | [**list[FeatureFilter]**](FeatureFilter.md) | Filters is a set of time, feature and/or outlier filters for the distribution/stats query | [optional]
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**buckets** | [**list[FeatureDistributionBucket]**](FeatureDistributionBucket.md) | Buckets in a feature distribution | [optional]
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**key** | **str** | Bucket Key in a feature distribution | [optional]
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**histogram_interval** | **float** | HistogramInterval refers to the size of bins in a aggregated feature distribution or statistics queries for real features | [optional]
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**minimum_bucket_count** | **int** | MinimumBucketCount refers to the minimum bucket size to filter in case of categorical, proba or one_hot feature queries | [optional]
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**number_of_time_buckets** | **int** | NumberOfTimeBuckets refers to the number of time bins in a non time-aggregated feature distribution or statistics queries | [optional]
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**total_instances** | **int** | TotalInstances represents the total prediction over which the distribution is computed | [optional]
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**type** | **str** | FeatureType refers to the type of feature as per the model predictions schema | [optional]
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**is_outlier** | **bool** | IsOutlier refers to boolean for outlier filters | [optional]
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**is_timestamp** | **bool** | IsTimestamp refers to boolean for timestamp filters | [optional]
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**lt** | **str** | LessThan refers to numerical value of the feature filter relevant for timestamps or REAL features | [optional]
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**lte** | **str** | LessThanOrEqual refers to numerical value of the feature filter relevant for timestamps or REAL features | [optional]
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**terms** | **list[str]** | Terms refers to set of feature categories to filter relevant to CATEGORICAL features | [optional]
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**total_instances** | **int** | TotalInstances represents the total prediction over which the distribution is computed | [optional]
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**type** | **str** | FeatureType refers to the type of feature as per the model predictions schema | [optional]
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**avg** | **float** | Statistical Average of a feature value (relevant to REAL features) | [optional]
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**buckets** | [**list[FeatureStatsBucket]**](FeatureStatsBucket.md) | Buckets in a feature statistics | [optional]
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**count** | **int** | Statistical Count of a feature value (relevant to REAL features) | [optional]
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**max** | **float** | Statistical Maximum of a feature value (relevant to REAL features) | [optional]
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**min** | **float** | Statistical Minimum of a feature value (relevant to REAL features) | [optional]
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**most_frequent_category** | **str** | Statistical Most Frequent Category Name of a feature value (relevant to CATEGORICAL, PROBA and ONE_HOT features) | [optional]
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**most_frequent_category_count** | **float** | Statistical Most Frequent Category Count of a feature value (relevant to CATEGORICAL, PROBA and ONE_HOT features) | [optional]
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