title: How to load trained model in amazon sagemaker?
body: <p>I am following <a href="https://github.com/mtm12/SageMakerDemo" rel="noreferrer">this example</a> on how to train a machine learning model in Amazon-sagemaker.</p>
  <pre><code>data_location = 's3://{}/kmeans_highlevel_example/data'.format(bucket)
  output_location = 's3://{}/kmeans_highlevel_example/output'.format(bucket)
  
  print('training data will be uploaded to: {}'.format(data_location))
  print('training artifacts will be uploaded to: {}'.format(output_location))
  
  kmeans = KMeans(role=role,
                  train_instance_count=2,
                  train_instance_type='ml.c4.8xlarge',
                  output_path=output_location,
                  k=10,
                  epochs=100,
                  data_location=data_location)
  </code></pre>
  <p>So after calling the fit function the model should be saved in the S3 bucket?? How can you load this model next time?</p>