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Author:
Samuel Vaiter, Yassine Laguel
Summary:
Badr is a framework for training fair machine-learning models that minimize a chosen fairness metric while preserving Pareto-optimal performance across sensitive groups.
Latest version:
0.1.2
Required dependencies:
cvxpy
|
folktables
|
jax
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matplotlib
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numpy
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pandas
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scikit-learn
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tqdm
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tueplots
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