Class StopTrainedModelDeploymentRequest

java.lang.Object
co.elastic.clients.elasticsearch._types.RequestBase
co.elastic.clients.elasticsearch.ml.StopTrainedModelDeploymentRequest

public class StopTrainedModelDeploymentRequest
extends RequestBase
Stops a trained model deployment.
See Also:
API specification
  • Field Details

  • Method Details

    • of

    • allowNoMatch

      @Nullable public final java.lang.Boolean allowNoMatch()
      Specifies what to do when the request: contains wildcard expressions and there are no deployments that match; contains the _all string or no identifiers and there are no matches; or contains wildcard expressions and there are only partial matches. By default, it returns an empty array when there are no matches and the subset of results when there are partial matches. If false, the request returns a 404 status code when there are no matches or only partial matches.

      API name: allow_no_match

    • force

      @Nullable public final java.lang.Boolean force()
      Forcefully stops the deployment, even if it is used by ingest pipelines. You can't use these pipelines until you restart the model deployment.

      API name: force

    • modelId

      public final java.lang.String modelId()
      Required - The unique identifier of the trained model.

      API name: model_id