Roman Lutz
Roman Lutz
Freeing this item up in case anyone is interested.
If anyone has had success making this work with autodoc2 and Google style docstrings I'm super interested, too. The ones @jkingslake uses seem to be numpydoc style. There's https://github.com/sphinx-extensions2/sphinx-autodoc2/issues/33 which...
@bwuzhang thanks for reporting this! I'm able to reproduce this with the steps you've outlined. I believe that it isn't a bug, though. Let me try to explain: The notebook...
Hi @lesydimitri ! These are excellent points and questions for clarification. I've assigned the item to you for now so that nobody else thinks this is up for grabs 😄...
A ton is changing in terms of outputs and results right now so I'll put this on hold until we have more clarity.
Closing this as the console printer does a lot of what I had thought of here.
We also definitely need unit tests for this.
Pipeline failed with ``` pyrit/datasets/fetch_example_datasets.py:441:121: E501 line too long (122 > 120 characters) pyrit/datasets/fetch_example_datasets.py:442:121: E501 line too long (130 > 120 characters) pyrit/datasets/fetch_example_datasets.py:443:121: E501 line too long (127 > 120...
Your observation is correct. This is somewhat related to https://github.com/fairlearn/fairlearn/issues/65, since this needs to be crystal clear to users, but we've discussed providing several options a few times. There should...
What I meant by breaking fairness guarantees is that if you provide the same seed all the time you've effectively derandomized the mitigated predictor. Some of these methods assume that...