@Override
    public StopNotebookInstanceResult stopNotebookInstance(StopNotebookInstanceRequest request) {
        request = beforeClientExecution(request);
        return executeStopNotebookInstance(request);
    }
<p>
Terminates the ML compute instance. Before terminating the instance, SageMaker disconnects the ML storage volume
from it. SageMaker preserves the ML storage volume. SageMaker stops charging you for the ML compute instance when
you call <code>StopNotebookInstance</code>.
</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>
aws-java-sdk-sagemaker/src/main/java/com/amazonaws/services/sagemaker/AmazonSageMakerClient.java