Glue / Client / start_export_labels_task_run
start_export_labels_task_run#
- Glue.Client.start_export_labels_task_run(**kwargs)#
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 theTransformId
whose labels you want to export and an Amazon Simple Storage Service (Amazon S3) path to export the labels to. The operation returns aTaskRunId
. You can check on the status of your task run by calling theGetMLTaskRun
API.See also: AWS API Documentation
Request Syntax
response = client.start_export_labels_task_run( TransformId='string', OutputS3Path='string' )
- Parameters:
TransformId (string) –
[REQUIRED]
The unique identifier of the machine learning transform.
OutputS3Path (string) –
[REQUIRED]
The Amazon S3 path where you export the labels.
- Return type:
dict
- Returns:
Response Syntax
{ 'TaskRunId': 'string' }
Response Structure
(dict) –
TaskRunId (string) –
The unique identifier for the task run.
Exceptions
Glue.Client.exceptions.EntityNotFoundException
Glue.Client.exceptions.InvalidInputException
Glue.Client.exceptions.OperationTimeoutException
Glue.Client.exceptions.InternalServiceException