:doc:`SageMaker <../../sagemaker>` / Client / stop_transform_job

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stop_transform_job
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.. py:method:: SageMaker.Client.stop_transform_job(**kwargs)

  

  Stops a batch transform job.

   

  When Amazon SageMaker receives a ``StopTransformJob`` request, the status of the job changes to ``Stopping``. After Amazon SageMaker stops the job, the status is set to ``Stopped``. When you stop a batch transform job before it is completed, Amazon SageMaker doesn't store the job's output in Amazon S3.

  

  See also: `AWS API Documentation <https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/StopTransformJob>`_  


  **Request Syntax**
  ::

    response = client.stop_transform_job(
        TransformJobName='string'
    )
    
  :type TransformJobName: string
  :param TransformJobName: **[REQUIRED]** 

    The name of the batch transform job to stop.

    

  
  
  :returns: None
  **Exceptions**
  
  *   :py:class:`SageMaker.Client.exceptions.ResourceNotFound`

  