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[ aws . glue ]

start-export-labels-task-run

Description

Begins an asynchronous task to export all labeled data for a particular transform. This task is the only label-related API call that is not part of the typical active learning workflow. You typically use StartExportLabelsTaskRun when you want to work with all of your existing labels at the same time, such as when you want to remove or change labels that were previously submitted as truth. This API operation accepts the TransformId whose labels you want to export and an Amazon Simple Storage Service (Amazon S3) path to export the labels to. The operation returns a TaskRunId . You can check on the status of your task run by calling the GetMLTaskRun API.

See also: AWS API Documentation

See 'aws help' for descriptions of global parameters.

Synopsis

  start-export-labels-task-run
--transform-id <value>
--output-s3-path <value>
[--cli-input-json <value>]
[--generate-cli-skeleton <value>]

Options

--transform-id (string)

The unique identifier of the machine learning transform.

--output-s3-path (string)

The Amazon S3 path where you export the labels.

--cli-input-json (string) Performs service operation based on the JSON string provided. The JSON string follows the format provided by --generate-cli-skeleton. If other arguments are provided on the command line, the CLI 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.

--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. 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

TaskRunId -> (string)

The unique identifier for the task run.