code: def model_data(self):
          
          if self.latest_training_job is not None:
              model_uri = self.sagemaker_session.sagemaker_client.describe_training_job(
                  TrainingJobName=self.latest_training_job.name)['ModelArtifacts']['S3ModelArtifacts']
          else:
              logging.warning('No finished training job found associated with this estimator. Please make sure'
                              'this estimator is only used for building workflow config')
              model_uri = os.path.join(self.output_path, self._current_job_name, 'output', 'model.tar.gz')
  
          return model_uri
docs: str: The model location in S3. Only set if Estimator has been ``fit()``.