responsiblyai / responsibly Goto Github PK

Description in PyPI seems partial:
https://pypi.org/project/ethically/0.0.3/

Probably because of the use of one string inside parentheses in root __init__.py

If different sensitive attribute values use different thresholds, the equalized odds intervention won't be sync across the values.

Therefore, an updated version of roc_curve from sklearn should be used, that takes the global thresholds and generate (fpr,tpr) for each sensitive attribute value:

https://github.com/scikit-learn/scikit-learn/blob/7b136e92acf49d46251479b75c88cba632de1937/sklearn/metrics/ranking.py#L535

Is it support mitigating bias and improving fairness in multi-class classification problems?
If so please provide an example of doing the same in a sample multi-class classification dataset.

I am trying to use responsibly in google collaboratory, and each time I install it, when I go to use it, I get the following error: AttributeError: module 'gensim.models.keyedvectors' has no attribute 'BaseKeyedVectors'

During the install, this is what I get: