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Returns a list of trained model inference jobs in a specified collaboration

Description

Returns a list of trained model inference jobs in a specified collaboration.

Usage

cleanroomsml_list_collaboration_trained_model_inference_jobs(nextToken,
  maxResults, collaborationIdentifier, trainedModelArn,
  trainedModelVersionIdentifier)

Arguments

  • nextToken

    The token value retrieved from a previous call to access the next page of results.

  • maxResults

    The maximum size of the results that is returned per call.

  • collaborationIdentifier

    [required] The collaboration ID of the collaboration that contains the trained model inference jobs that you are interested in.

  • trainedModelArn

    The Amazon Resource Name (ARN) of the trained model that was used to create the trained model inference jobs that you are interested in.

  • trainedModelVersionIdentifier

    The version identifier of the trained model to filter inference jobs by. When specified, only inference jobs that used this specific version of the trained model are returned.

Value

A list with the following syntax:

list(
  nextToken = "string",
  collaborationTrainedModelInferenceJobs = list(
    list(
      trainedModelInferenceJobArn = "string",
      configuredModelAlgorithmAssociationArn = "string",
      membershipIdentifier = "string",
      trainedModelArn = "string",
      trainedModelVersionIdentifier = "string",
      collaborationIdentifier = "string",
      status = "CREATE_PENDING"|"CREATE_IN_PROGRESS"|"CREATE_FAILED"|"ACTIVE"|"CANCEL_PENDING"|"CANCEL_IN_PROGRESS"|"CANCEL_FAILED"|"INACTIVE",
      outputConfiguration = list(
        accept = "string",
        members = list(
          list(
            accountId = "string"
          )
        )
      ),
      name = "string",
      description = "string",
      metricsStatus = "PUBLISH_SUCCEEDED"|"PUBLISH_FAILED",
      metricsStatusDetails = "string",
      logsStatus = "PUBLISH_SUCCEEDED"|"PUBLISH_FAILED",
      logsStatusDetails = "string",
      mlModelInferencePayerAccountId = "string",
      createTime = as.POSIXct(
        "2015-01-01"
      ),
      updateTime = as.POSIXct(
        "2015-01-01"
      ),
      creatorAccountId = "string"
    )
  )
)

Request syntax

svc$list_collaboration_trained_model_inference_jobs(
  nextToken = "string",
  maxResults = 123,
  collaborationIdentifier = "string",
  trainedModelArn = "string",
  trainedModelVersionIdentifier = "string"
)