NeptuneData / Client / cancel_ml_data_processing_job
cancel_ml_data_processing_job#
- NeptuneData.Client.cancel_ml_data_processing_job(**kwargs)#
Cancels a Neptune ML data processing job. See The dataprocessing command.
See also: AWS API Documentation
Request Syntax
response = client.cancel_ml_data_processing_job( id='string', neptuneIamRoleArn='string', clean=True|False )
- Parameters:
id (string) –
[REQUIRED]
The unique identifier of the data-processing job.
neptuneIamRoleArn (string) – The ARN of an IAM role that provides Neptune access to SageMaker and Amazon S3 resources. This must be listed in your DB cluster parameter group or an error will occur.
clean (boolean) – If set to
TRUE
, this flag specifies that all Neptune ML S3 artifacts should be deleted when the job is stopped. The default isFALSE
.
- Return type:
dict
- Returns:
Response Syntax
{ 'status': 'string' }
Response Structure
(dict) –
status (string) –
The status of the cancellation request.
Exceptions
NeptuneData.Client.exceptions.UnsupportedOperationException
NeptuneData.Client.exceptions.BadRequestException
NeptuneData.Client.exceptions.MLResourceNotFoundException
NeptuneData.Client.exceptions.InvalidParameterException
NeptuneData.Client.exceptions.ClientTimeoutException
NeptuneData.Client.exceptions.PreconditionsFailedException
NeptuneData.Client.exceptions.ConstraintViolationException
NeptuneData.Client.exceptions.InvalidArgumentException
NeptuneData.Client.exceptions.MissingParameterException
NeptuneData.Client.exceptions.IllegalArgumentException
NeptuneData.Client.exceptions.TooManyRequestsException