Skip to content

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"
)