code: @Override
      public GetMLModelResult getMLModel(GetMLModelRequest request) {
          request = beforeClientExecution(request);
          return executeGetMLModel(request);
      }
docs: <p>
  Returns an <code>MLModel</code> that includes detailed metadata, data source information, and the current status
  of the <code>MLModel</code>.
  </p>
  <p>
  <code>GetMLModel</code> provides results in normal or verbose format.
  </p>
  
  @param getMLModelRequest
  @return Result of the GetMLModel operation returned by the service.
  @throws InvalidInputException
  An error on the client occurred. Typically, the cause is an invalid input value.
  @throws ResourceNotFoundException
  A specified resource cannot be located.
  @throws InternalServerException
  An error on the server occurred when trying to process a request.
  @sample AmazonMachineLearning.GetMLModel