SageMaker / Client / list_auto_ml_jobs

list_auto_ml_jobs#

SageMaker.Client.list_auto_ml_jobs(**kwargs)#

Request a list of jobs.

See also: AWS API Documentation

Request Syntax

response = client.list_auto_ml_jobs(
    CreationTimeAfter=datetime(2015, 1, 1),
    CreationTimeBefore=datetime(2015, 1, 1),
    LastModifiedTimeAfter=datetime(2015, 1, 1),
    LastModifiedTimeBefore=datetime(2015, 1, 1),
    NameContains='string',
    StatusEquals='Completed'|'InProgress'|'Failed'|'Stopped'|'Stopping',
    SortOrder='Ascending'|'Descending',
    SortBy='Name'|'CreationTime'|'Status',
    MaxResults=123,
    NextToken='string'
)
Parameters:
  • CreationTimeAfter (datetime) – Request a list of jobs, using a filter for time.

  • CreationTimeBefore (datetime) – Request a list of jobs, using a filter for time.

  • LastModifiedTimeAfter (datetime) – Request a list of jobs, using a filter for time.

  • LastModifiedTimeBefore (datetime) – Request a list of jobs, using a filter for time.

  • NameContains (string) – Request a list of jobs, using a search filter for name.

  • StatusEquals (string) – Request a list of jobs, using a filter for status.

  • SortOrder (string) – The sort order for the results. The default is Descending.

  • SortBy (string) – The parameter by which to sort the results. The default is Name.

  • MaxResults (integer) – Request a list of jobs up to a specified limit.

  • NextToken (string) – If the previous response was truncated, you receive this token. Use it in your next request to receive the next set of results.

Return type:

dict

Returns:

Response Syntax

{
    'AutoMLJobSummaries': [
        {
            'AutoMLJobName': 'string',
            'AutoMLJobArn': 'string',
            'AutoMLJobStatus': 'Completed'|'InProgress'|'Failed'|'Stopped'|'Stopping',
            'AutoMLJobSecondaryStatus': 'Starting'|'AnalyzingData'|'FeatureEngineering'|'ModelTuning'|'MaxCandidatesReached'|'Failed'|'Stopped'|'MaxAutoMLJobRuntimeReached'|'Stopping'|'CandidateDefinitionsGenerated'|'GeneratingExplainabilityReport'|'Completed'|'ExplainabilityError'|'DeployingModel'|'ModelDeploymentError'|'GeneratingModelInsightsReport'|'ModelInsightsError'|'TrainingModels',
            'CreationTime': datetime(2015, 1, 1),
            'EndTime': datetime(2015, 1, 1),
            'LastModifiedTime': datetime(2015, 1, 1),
            'FailureReason': 'string',
            'PartialFailureReasons': [
                {
                    'PartialFailureMessage': 'string'
                },
            ]
        },
    ],
    'NextToken': 'string'
}

Response Structure

  • (dict) –

    • AutoMLJobSummaries (list) –

      Returns a summary list of jobs.

      • (dict) –

        Provides a summary about an AutoML job.

        • AutoMLJobName (string) –

          The name of the AutoML job you are requesting.

        • AutoMLJobArn (string) –

          The ARN of the AutoML job.

        • AutoMLJobStatus (string) –

          The status of the AutoML job.

        • AutoMLJobSecondaryStatus (string) –

          The secondary status of the AutoML job.

        • CreationTime (datetime) –

          When the AutoML job was created.

        • EndTime (datetime) –

          The end time of an AutoML job.

        • LastModifiedTime (datetime) –

          When the AutoML job was last modified.

        • FailureReason (string) –

          The failure reason of an AutoML job.

        • PartialFailureReasons (list) –

          The list of reasons for partial failures within an AutoML job.

          • (dict) –

            The reason for a partial failure of an AutoML job.

            • PartialFailureMessage (string) –

              The message containing the reason for a partial failure of an AutoML job.

    • NextToken (string) –

      If the previous response was truncated, you receive this token. Use it in your next request to receive the next set of results.