code: @Override
      public StopNotebookInstanceResult stopNotebookInstance(StopNotebookInstanceRequest request) {
          request = beforeClientExecution(request);
          return executeStopNotebookInstance(request);
      }
docs: <p>
  Terminates the ML compute instance. Before terminating the instance, Amazon SageMaker disconnects the ML storage
  volume from it. Amazon SageMaker preserves the ML storage volume.
  </p>
  <p>
  To access data on the ML storage volume for a notebook instance that has been terminated, call the
  <code>StartNotebookInstance</code> API. <code>StartNotebookInstance</code> launches another ML compute instance,
  configures it, and attaches the preserved ML storage volume so you can continue your work.
  </p>
  
  @param stopNotebookInstanceRequest
  @return Result of the StopNotebookInstance operation returned by the service.
  @sample AmazonSageMaker.StopNotebookInstance
  @see <a href="http://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/StopNotebookInstance" target="_top">AWS
  API Documentation</a>