RuntimeError                              Traceback (most recent call last)
~/anaconda3/envs/python3/lib/python3.6/site-packages/sagemaker/local/image.py in train(self, input_data_config, hyperparameters)
    110         try:
--> 111             _stream_output(process)
    112         except RuntimeError as e:

~/anaconda3/envs/python3/lib/python3.6/site-packages/sagemaker/local/image.py in _stream_output(process)
    588     if exit_code != 0:
--> 589         raise RuntimeError("Process exited with code: %s" % exit_code)
    590 

RuntimeError: Process exited with code: 1

During handling of the above exception, another exception occurred:

AttributeError                            Traceback (most recent call last)
<timed exec> in <module>()

~/anaconda3/envs/python3/lib/python3.6/site-packages/sagemaker/estimator.py in fit(self, inputs, wait, logs, job_name)
    176         self._prepare_for_training(job_name=job_name)
    177 
--> 178         self.latest_training_job = _TrainingJob.start_new(self, inputs)
    179         if wait:
    180             self.latest_training_job.wait(logs=logs)

~/anaconda3/envs/python3/lib/python3.6/site-packages/sagemaker/estimator.py in start_new(cls, estimator, inputs)
    361                                           job_name=estimator._current_job_name, output_config=config['output_config'],
    362                                           resource_config=config['resource_config'], hyperparameters=hyperparameters,
--> 363                                           stop_condition=config['stop_condition'], tags=estimator.tags)
    364 
    365         return cls(estimator.sagemaker_session, estimator._current_job_name)

~/anaconda3/envs/python3/lib/python3.6/site-packages/sagemaker/session.py in train(self, image, input_mode, input_config, role, job_name, output_config, resource_config, hyperparameters, stop_condition, tags)
    262         LOGGER.info('Creating training-job with name: {}'.format(job_name))
    263         LOGGER.debug('train request: {}'.format(json.dumps(train_request, indent=4)))
--> 264         self.sagemaker_client.create_training_job(**train_request)
    265 
    266     def tune(self, job_name, strategy, objective_type, objective_metric_name,

~/anaconda3/envs/python3/lib/python3.6/site-packages/sagemaker/local/local_session.py in create_training_job(self, TrainingJobName, AlgorithmSpecification, RoleArn, InputDataConfig, OutputDataConfig, ResourceConfig, StoppingCondition, HyperParameters, Tags)
     73                                    data_distribution)
     74 
---> 75         self.s3_model_artifacts = self.train_container.train(InputDataConfig, HyperParameters)
     76 
     77     def describe_training_job(self, TrainingJobName):

~/anaconda3/envs/python3/lib/python3.6/site-packages/sagemaker/local/image.py in train(self, input_data_config, hyperparameters)
    113             # _stream_output() doesn't have the command line. We will handle the exception
    114             # which contains the exit code and append the command line to it.
--> 115             msg = "Failed to run: %s, %s" % (compose_command, e.message)
    116             raise RuntimeError(msg)
    117 

AttributeError: 'RuntimeError' object has no attribute 'message'