fair-classification
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How to run disparate_impact and disparate_mistreatment for multi-group fairness?
I noticed that there is a file fair-classification/utils.py to implement disparate impact fairness. How can we utilize this code to build fair logistic regression in case of multi-group fairness, for example when races (American White, Black, Asian,..) is the protected attribute ?