Library Request: dice-ml

[AlexCatarino]

DiCE implements counterfactual (CF) explanations that provide this information by showing feature-perturbed versions of the same person who would have received the loan, e.g., you would have received the loan if your income was higher by $10,000. In other words, it provides "what-if" explanations for model output and can be a useful complement to other explanation methods, both for end-users and model developers.

PyPi: https://pypi.org/project/dice-ml/

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[Martin-Molinero]

dice-ml does not support pandas > 2 ref interpretml/DiCE#422