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Turning a 9 (nine) into a 4 (four). Counterfactual explanations, which I introduced in one of my previous posts1, 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 counterfactual explanations for models built and trained in Python (Pawelczyk et al. 2021). This is great, but of limited use to users of other programming languages 🥲. Enter...