_PACKAGE IN CONSTRUCTION_
Project description
equal-odds
This repository is under construction :construction:
A fast adjust
Installing
Install package from PyPI:
pip install equal-odds
Or, for development, you can clone the repo and install from local sources:
git clone https://github.com/AndreFCruz/equal-odds.git
pip install ./equal-odds
Getting started
# Given any trained model that outputs real-valued scores
fair_clf = RelaxedEqualOdds(
predictor=lambda X: model.predict_proba(X)[:, -1], # for sklearn API
# predictor=model, # use this for a callable model
tolerance=0.05, # fairness constraint tolerance
)
# Fit the fairness adjustment on some data
# This will find the optimal _fair classifier_
fair_clf.fit(X=X, y=y, group=group)
# Now you can use `fair_clf` as any other classifier
# You have to provide group information to compute fair predictions
y_pred_test = fair_clf(X=X_test, group=group_test)
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