ListAutoMLJobs

class SageMaker.Paginator.ListAutoMLJobs

paginator = client.get_paginator('list_auto_ml_jobs')

paginate(**kwargs)

Creates an iterator that will paginate through responses from SageMaker.Client.list_auto_ml_jobs().

See also: AWS API Documentation

Request Syntax

response_iterator = paginator.paginate(
    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',
    PaginationConfig={
        'MaxItems': 123,
        'PageSize': 123,
        'StartingToken': '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 .
• PaginationConfig (dict) --

  A dictionary that provides parameters to control pagination.

  • MaxItems (integer) --

    The total number of items to return. If the total number of items available is more than the value specified in max-items then a NextToken will be provided in the output that you can use to resume pagination.

  • PageSize (integer) --

    The size of each page.

  • StartingToken (string) --

    A token to specify where to start paginating. This is the NextToken from a previous response.

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',
            'CreationTime': datetime(2015, 1, 1),
            'EndTime': datetime(2015, 1, 1),
            'LastModifiedTime': datetime(2015, 1, 1),
            'FailureReason': 'string',
            'PartialFailureReasons': [
                {
                    'PartialFailureMessage': '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.