ListLabelingJobs

class SageMaker.Paginator.ListLabelingJobs

paginator = client.get_paginator('list_labeling_jobs')

paginate(**kwargs)

Creates an iterator that will paginate through responses from SageMaker.Client.list_labeling_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',
    SortBy='Name'|'CreationTime'|'Status',
    SortOrder='Ascending'|'Descending',
    StatusEquals='Initializing'|'InProgress'|'Completed'|'Failed'|'Stopping'|'Stopped',
    PaginationConfig={
        'MaxItems': 123,
        'PageSize': 123,
        'StartingToken': 'string'
    }
)

Parameters

• CreationTimeAfter (datetime) -- A filter that returns only labeling jobs created after the specified time (timestamp).
• CreationTimeBefore (datetime) -- A filter that returns only labeling jobs created before the specified time (timestamp).
• LastModifiedTimeAfter (datetime) -- A filter that returns only labeling jobs modified after the specified time (timestamp).
• LastModifiedTimeBefore (datetime) -- A filter that returns only labeling jobs modified before the specified time (timestamp).
• NameContains (string) -- A string in the labeling job name. This filter returns only labeling jobs whose name contains the specified string.
• SortBy (string) -- The field to sort results by. The default is CreationTime .
• SortOrder (string) -- The sort order for results. The default is Ascending .
• StatusEquals (string) -- A filter that retrieves only labeling jobs with a specific status.
• 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

{
    'LabelingJobSummaryList': [
        {
            'LabelingJobName': 'string',
            'LabelingJobArn': 'string',
            'CreationTime': datetime(2015, 1, 1),
            'LastModifiedTime': datetime(2015, 1, 1),
            'LabelingJobStatus': 'Initializing'|'InProgress'|'Completed'|'Failed'|'Stopping'|'Stopped',
            'LabelCounters': {
                'TotalLabeled': 123,
                'HumanLabeled': 123,
                'MachineLabeled': 123,
                'FailedNonRetryableError': 123,
                'Unlabeled': 123
            },
            'WorkteamArn': 'string',
            'PreHumanTaskLambdaArn': 'string',
            'AnnotationConsolidationLambdaArn': 'string',
            'FailureReason': 'string',
            'LabelingJobOutput': {
                'OutputDatasetS3Uri': 'string',
                'FinalActiveLearningModelArn': 'string'
            },
            'InputConfig': {
                'DataSource': {
                    'S3DataSource': {
                        'ManifestS3Uri': 'string'
                    },
                    'SnsDataSource': {
                        'SnsTopicArn': 'string'
                    }
                },
                'DataAttributes': {
                    'ContentClassifiers': [
                        'FreeOfPersonallyIdentifiableInformation'|'FreeOfAdultContent',
                    ]
                }
            }
        },
    ],

}

Response Structure

• (dict) --

  • LabelingJobSummaryList (list) --

    An array of LabelingJobSummary objects, each describing a labeling job.

    • (dict) --

      Provides summary information about a labeling job.

      • LabelingJobName (string) --

        The name of the labeling job.

      • LabelingJobArn (string) --

        The Amazon Resource Name (ARN) assigned to the labeling job when it was created.

      • CreationTime (datetime) --

        The date and time that the job was created (timestamp).

      • LastModifiedTime (datetime) --

        The date and time that the job was last modified (timestamp).

      • LabelingJobStatus (string) --

        The current status of the labeling job.

      • LabelCounters (dict) --

        Counts showing the progress of the labeling job.

        • TotalLabeled (integer) --

          The total number of objects labeled.

        • HumanLabeled (integer) --

          The total number of objects labeled by a human worker.

        • MachineLabeled (integer) --

          The total number of objects labeled by automated data labeling.

        • FailedNonRetryableError (integer) --

          The total number of objects that could not be labeled due to an error.

        • Unlabeled (integer) --

          The total number of objects not yet labeled.

      • WorkteamArn (string) --

        The Amazon Resource Name (ARN) of the work team assigned to the job.

      • PreHumanTaskLambdaArn (string) --

        The Amazon Resource Name (ARN) of a Lambda function. The function is run before each data object is sent to a worker.

      • AnnotationConsolidationLambdaArn (string) --

        The Amazon Resource Name (ARN) of the Lambda function used to consolidate the annotations from individual workers into a label for a data object. For more information, see Annotation Consolidation.

      • FailureReason (string) --

        If the LabelingJobStatus field is Failed , this field contains a description of the error.

      • LabelingJobOutput (dict) --

        The location of the output produced by the labeling job.

        • OutputDatasetS3Uri (string) --

          The Amazon S3 bucket location of the manifest file for labeled data.

        • FinalActiveLearningModelArn (string) --

          The Amazon Resource Name (ARN) for the most recent SageMaker model trained as part of automated data labeling.

      • InputConfig (dict) --

        Input configuration for the labeling job.

        • DataSource (dict) --

          The location of the input data.

          • S3DataSource (dict) --

            The Amazon S3 location of the input data objects.

            • ManifestS3Uri (string) --

              The Amazon S3 location of the manifest file that describes the input data objects.

              The input manifest file referenced in ManifestS3Uri must contain one of the following keys: source-ref or source . The value of the keys are interpreted as follows:

              • source-ref : The source of the object is the Amazon S3 object specified in the value. Use this value when the object is a binary object, such as an image.
              • source : The source of the object is the value. Use this value when the object is a text value.

              If you are a new user of Ground Truth, it is recommended you review Use an Input Manifest File in the Amazon SageMaker Developer Guide to learn how to create an input manifest file.

          • SnsDataSource (dict) --

            An Amazon SNS data source used for streaming labeling jobs. To learn more, see Send Data to a Streaming Labeling Job.

            • SnsTopicArn (string) --

              The Amazon SNS input topic Amazon Resource Name (ARN). Specify the ARN of the input topic you will use to send new data objects to a streaming labeling job.

        • DataAttributes (dict) --

          Attributes of the data specified by the customer.

          • ContentClassifiers (list) --

            Declares that your content is free of personally identifiable information or adult content. SageMaker may restrict the Amazon Mechanical Turk workers that can view your task based on this information.

            • (string) --