Analytics

From Pypi:

pip install 'deephyper[analytics]'

or from github:

pip install -e '.[analytics]'

Then to make DeepHyper accessible in a notebook create a new IPython kernel with (before running the command make sure that your virtual environment is activated if you are using one):

python -m ipykernel install --user --name deephyper --display-name "Python (deephyper)"

Now when you will open a Jupyter notebook the “Python (deephyper)” kernel will be available.

Theta

Then go to Theta Jupyter and use your regular authentication method. The Jupyter Hub tutorial from Argonne Leadership Computing Facility might help you in case of troubles.

Warning

Now when openning a generated notebook make sure to use the “Python (deephyper)” kernel before executing otherwise you will not have all required dependencies.