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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.…
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…