spang-lab / adadmire Goto Github PK

Add Functions that:

• scales input matrix
• scales corrected matrix X_cor back to orginial values

Generate helper function that automatically creates Lambda sequence of penalty values

Should be done via Github Action. Requires Issue #1 to be finished first.

Includes generation of minimal example

scikit-learn is also missing:

Current:

Better:

Write wrapper functions for easier usage of package

Right now we run the code examples shown in section Usage after every pull-request and/or push to main. The tests are defined in file tests/test_examples.py. Each example takes about 10-20 minutes to finish. It would be super nice if we could speed up these tests, however, just taking a subset of samples and/or features seems to not work, as adadmire throws exceptions then. So the task is: find a way to speed up these tests. The goal should be 10 secs max I would say.

See e.g. https://peps.python.org/pep-0257/ for tips about docstrings

Current situation: after accepted pull request manual creation of releases is necessary to trigger pypi deployment
Aim: after accepted pull request automatic tag release and deployment
IMPORTANT: don't forget to update documentation