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@interpretml

InterpretML

If a tree fell in your random forest, would anyone notice?

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  1. Fit interpretable models. Explain blackbox machine learning.

    C++ 3k 365

  2. A library that incorporates state-of-the-art explainers for text-based machine learning models and visualizes the result with a built-in dashboard.

    Python 141 30

  3. Generate Diverse Counterfactual Explanations for any machine learning model.

    Python 328 47

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