A new tool for explainable AI

Explaining models trained in Julia, Python and R through counterfactuals

Patrick Altmeyer
Towards Data Science
8 min readApr 20, 2022

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Turning a 9 (nine) into a 4 (four). Image by author.
Turning a 9 (nine) into a 4 (four). Image by author.

Counterfactual explanations, which I introduced in one of my previous posts, offer a simple and intuitive way to explain black-box models without opening them. Still, as of today there exists only one open-source library that provides a unifying approach to generate and benchmark…

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PhD in Trustworthy AI at Delft University of Technology — Explainability, Probabilistic ML, Counterfactual Explanations, JuliaLang, rstats & sometimes python