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@interpretml

InterpretML

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

Pinned repositories

  1. Fit interpretable models. Explain blackbox machine learning.

    C++ 3.5k 441

  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 215 44

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

    Python 474 71

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