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DiCE: A library for generating Diverse Counterfactual Explanations 

November 2021

DiCE is a Python library that can generate counterfactual explanations for any machine learning classifier. Counterfactual explanations present “what-if” perturbations of the input such that an ML classifier outputs a different class for those perturbations than the original predicted class.…

Github 対して DiCE: A library for generating Diverse Counterfactual Explanations

DoWhy: A library for causal inference 

May 2021

As computing systems are more frequently and more actively intervening in societally critical domains such as healthcare, education and governance, it is critical to correctly predict and understand the causal effects of these interventions. Without an A/B test, conventional machine…

Github 対して DoWhy: A library for causal inference