[ aws . sagemaker ]

list-labeling-jobs

Description

Gets a list of labeling jobs.

See also: AWS API Documentation

See ‘aws help’ for descriptions of global parameters.

list-labeling-jobs is a paginated operation. Multiple API calls may be issued in order to retrieve the entire data set of results. You can disable pagination by providing the --no-paginate argument. When using --output text and the --query argument on a paginated response, the --query argument must extract data from the results of the following query expressions: LabelingJobSummaryList

Synopsis

  list-labeling-jobs
[--creation-time-after <value>]
[--creation-time-before <value>]
[--last-modified-time-after <value>]
[--last-modified-time-before <value>]
[--name-contains <value>]
[--sort-by <value>]
[--sort-order <value>]
[--status-equals <value>]
[--cli-input-json | --cli-input-yaml]
[--starting-token <value>]
[--page-size <value>]
[--max-items <value>]
[--generate-cli-skeleton <value>]

Options

--creation-time-after (timestamp)

A filter that returns only labeling jobs created after the specified time (timestamp).

--creation-time-before (timestamp)

A filter that returns only labeling jobs created before the specified time (timestamp).

--last-modified-time-after (timestamp)

A filter that returns only labeling jobs modified after the specified time (timestamp).

--last-modified-time-before (timestamp)

A filter that returns only labeling jobs modified before the specified time (timestamp).

--name-contains (string)

A string in the labeling job name. This filter returns only labeling jobs whose name contains the specified string.

--sort-by (string)

The field to sort results by. The default is CreationTime .

Possible values:

• Name

• CreationTime

• Status

--sort-order (string)

The sort order for results. The default is Ascending .

Possible values:

• Ascending

• Descending

--status-equals (string)

A filter that retrieves only labeling jobs with a specific status.

Possible values:

• Initializing

• InProgress

• Completed

• Failed

• Stopping

• Stopped

--cli-input-json | --cli-input-yaml (string) Reads arguments from the JSON string provided. The JSON string follows the format provided by --generate-cli-skeleton. If other arguments are provided on the command line, those values will override the JSON-provided values. It is not possible to pass arbitrary binary values using a JSON-provided value as the string will be taken literally. This may not be specified along with --cli-input-yaml.

--starting-token (string)

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

For usage examples, see Pagination in the AWS Command Line Interface User Guide .

--page-size (integer)

The size of each page to get in the AWS service call. This does not affect the number of items returned in the command’s output. Setting a smaller page size results in more calls to the AWS service, retrieving fewer items in each call. This can help prevent the AWS service calls from timing out.

For usage examples, see Pagination in the AWS Command Line Interface User Guide .

--max-items (integer)

The total number of items to return in the command’s output. If the total number of items available is more than the value specified, a NextToken is provided in the command’s output. To resume pagination, provide the NextToken value in the starting-token argument of a subsequent command. Do not use the NextToken response element directly outside of the AWS CLI.

For usage examples, see Pagination in the AWS Command Line Interface User Guide .

--generate-cli-skeleton (string) Prints a JSON skeleton to standard output without sending an API request. If provided with no value or the value input, prints a sample input JSON that can be used as an argument for --cli-input-json. Similarly, if provided yaml-input it will print a sample input YAML that can be used with --cli-input-yaml. If provided with the value output, it validates the command inputs and returns a sample output JSON for that command.

See ‘aws help’ for descriptions of global parameters.

Output

LabelingJobSummaryList -> (list)

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

(structure)

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 -> (timestamp)

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

LastModifiedTime -> (timestamp)

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

LabelingJobStatus -> (string)

The current status of the labeling job.

LabelCounters -> (structure)

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 -> (structure)

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 Amazon SageMaker model trained as part of automated data labeling.

InputConfig -> (structure)

Input configuration for the labeling job.

DataSource -> (structure)

The location of the input data.

S3DataSource -> (structure)

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 -> (structure)

An Amazon SNS data source used for streaming labeling jobs.

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.

If you specify an input topic for SnsTopicArn in InputConfig , you must specify a value for SnsTopicArn in OutputConfig .

DataAttributes -> (structure)

Attributes of the data specified by the customer.

ContentClassifiers -> (list)

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

(string)

NextToken -> (string)

If the response is truncated, Amazon SageMaker returns this token. To retrieve the next set of labeling jobs, use it in the subsequent request.