Name | Type | Description | Notes |
---|---|---|---|
model_uri | str | The URI for the storage bucket containing the model, or the URI to the docker image for custom models. | [optional] |
deployment_name | str | The name of the Kubernetes deployment that is associated with a model. | [optional] |
deployment_namespace | str | The Kubernetes namespace in which this deployment is running in. | [optional] |
deployment_kubernetes_uid | str | The Kubernetes UID of the deployment associated with a model. See https://kubernetes.io/docs/concepts/overview/working-with-objects/names/#uids for details | [optional] |
predictor_name | str | The name of the predictor inside the deployment that contains the referenced model. | [optional] |
node_name | str | The name of the node inside the predictor that contains the referenced model. This is relevant and populated only for SeldonDeployment deployment types. | [optional] |
deployment_status | V1DeploymentStatus | The status of the Kubernetes deployment associated with a model. | [optional] |
deployment_type | V1DeploymentType | The type of deployment - either SeldonDeployment or Model. | [optional] |
traffic | str | The amount of traffic server by this model in the deployment. | [optional] |
shadow | bool | True if this model is a shadow in the deployment. | [optional] |
creation_time | datetime | The creation timestamp for the runtime model metadata entry. It is automatically created by the Metadata service and cannot be modified. The timestamp is using the RFC 3339 format/ | [optional] |
model | V1Model | Detailed metadata of the model referenced in this runtime metadata entry. | [optional] |
explainer | bool | True if this model is a explainer in the deployment. | [optional] |
replicas | str | The number of replicas for this model. | [optional] |