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SAGEMAKER.md

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Running on AWS SageMaker

If you're using AWS SageMaker,

  1. Stop and start your sagemaker instance (to make sure you're starting fresh)
  2. Open a terminal, and run source activate JupyterSystemEnv to switch to JupyterLab's conda environment
  3. Run jupyter labextension install jupyterlab-s3-browser to install the lab extension
  4. Run pip install jupyterlab-s3-browser to install the server extension
  5. Run jupyter serverextension enable --py jupyterlab_s3_browser to make sure the server extension is enabled
  6. Run sudo initctl restart jupyter-server --no-wait to restart your jupyterlab server
  7. Refresh the page
  8. You should now have the bucket icon on your sidebar. Use https://s3.amazonaws.com as your endpoint. Enter your access key and secret key generated on this page: https://console.aws.amazon.com/iam/home#security_credential

You'll need to perform these instructions every time you log in, because SageMaker doesn't save the state of your installed extensions.