List Collaboration Trained Model Export Jobs

cleanroomsml_list_collaboration_trained_model_export_jobs

R Documentation

Returns a list of the export jobs for a trained model in a collaboration¶

Description¶

Returns a list of the export jobs for a trained model in a collaboration.

Usage¶

cleanroomsml_list_collaboration_trained_model_export_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 export jobs that you are interested in.

trainedModelArn

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

trainedModelVersionIdentifier

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

Value¶

A list with the following syntax:

list(
  nextToken = "string",
  collaborationTrainedModelExportJobs = list(
    list(
      createTime = as.POSIXct(
        "2015-01-01"
      ),
      updateTime = as.POSIXct(
        "2015-01-01"
      ),
      name = "string",
      outputConfiguration = list(
        members = list(
          list(
            accountId = "string"
          )
        )
      ),
      status = "CREATE_PENDING"|"CREATE_IN_PROGRESS"|"CREATE_FAILED"|"ACTIVE",
      statusDetails = list(
        statusCode = "string",
        message = "string"
      ),
      description = "string",
      creatorAccountId = "string",
      trainedModelArn = "string",
      trainedModelVersionIdentifier = "string",
      membershipIdentifier = "string",
      collaborationIdentifier = "string"
    )
  )
)

Request syntax¶

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