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List Collaboration Trained Model Inference Jobs

cleanroomsml_list_collaboration_trained_model_inference_jobs R Documentation

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)

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.

Value

A list with the following syntax: 

list(
  nextToken = "string",
  collaborationTrainedModelInferenceJobs = list(
    list(
      trainedModelInferenceJobArn = "string",
      configuredModelAlgorithmAssociationArn = "string",
      membershipIdentifier = "string",
      trainedModelArn = "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",
      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"
)