CleanRoomsML / Client / list_trained_model_inference_jobs

list_trained_model_inference_jobs

CleanRoomsML.Client.list_trained_model_inference_jobs(**kwargs)

Returns a list of trained model inference jobs that match the request parameters.

See also: AWS API Documentation

Request Syntax

response = client.list_trained_model_inference_jobs(
    nextToken='string',
    maxResults=123,
    membershipIdentifier='string',
    trainedModelArn='string'
)

Parameters:

• nextToken (string) – The token value retrieved from a previous call to access the next page of results.

• maxResults (integer) – The maximum size of the results that is returned per call.

• membershipIdentifier (string) –

  [REQUIRED]

  The membership

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

Return type:

dict

Returns:

Response Syntax

{
    'nextToken': 'string',
    'trainedModelInferenceJobs': [
        {
            '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': {
                'accept': 'string',
                'members': [
                    {
                        'accountId': 'string'
                    },
                ]
            },
            'name': 'string',
            'description': 'string',
            'metricsStatus': 'PUBLISH_SUCCEEDED'|'PUBLISH_FAILED',
            'metricsStatusDetails': 'string',
            'logsStatus': 'PUBLISH_SUCCEEDED'|'PUBLISH_FAILED',
            'logsStatusDetails': 'string',
            'createTime': datetime(2015, 1, 1),
            'updateTime': datetime(2015, 1, 1)
        },
    ]
}

Response Structure

• (dict) –

  • nextToken (string) –

    The token value used to access the next page of results.

  • trainedModelInferenceJobs (list) –

    Returns the requested trained model inference jobs.

    • (dict) –

      Provides information about the trained model inference job.

      • trainedModelInferenceJobArn (string) –

        The Amazon Resource Name (ARN) of the trained model inference job.

      • configuredModelAlgorithmAssociationArn (string) –

        The Amazon Resource Name (ARN) of the configured model algorithm association that is used for the trained model inference job.

      • membershipIdentifier (string) –

        The membership ID of the membership that contains the trained model inference job.

      • trainedModelArn (string) –

        The Amazon Resource Name (ARN) of the trained model that is used for the trained model inference job.

      • collaborationIdentifier (string) –

        The collaboration ID of the collaboration that contains the trained model inference job.

      • status (string) –

        The status of the trained model inference job.

      • outputConfiguration (dict) –

        The output configuration information of the trained model job.

        • accept (string) –

          The MIME type used to specify the output data.

        • members (list) –

          Defines the members that can receive inference output.

          • (dict) –

            Defines who will receive inference results.

            • accountId (string) –

              The account ID of the member that can receive inference results.

      • name (string) –

        The name of the trained model inference job.

      • description (string) –

        The description of the trained model inference job.

      • metricsStatus (string) –

        The metric status of the trained model inference job.

      • metricsStatusDetails (string) –

        Details about the metrics status for the trained model inference job.

      • logsStatus (string) –

        The log status of the trained model inference job.

      • logsStatusDetails (string) –

        Details about the log status for the trained model inference job.

      • createTime (datetime) –

        The time at which the trained model inference job was created.

      • updateTime (datetime) –

        The most recent time at which the trained model inference job was updated.

Exceptions

• CleanRoomsML.Client.exceptions.ValidationException

• CleanRoomsML.Client.exceptions.AccessDeniedException