shap
A game theoretic approach to explain the output of any machine learning model.
Understand how machine learning models make decisions by using a game-based explanation method.
From the README
Excerpts from the project README on GitHub. Copyright and licensing remain with the respective authors.
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Free · no card · unsubscribe anytimeA game theoretic approach to explain the output of any machine learning model.
shap has 25.6k stars on GitHub. It has been forked 3.7k times. shap is written mainly in Jupyter Notebook. It has been in active development since 2016. shap is available under the MIT license. Its main topics are deep-learning, explainability, gradient-boosting, interpretability.
What is shap?
A game theoretic approach to explain the output of any machine learning model.
Is shap open source?
shap is an open-source project. It is released under the MIT license.
Is shap free?
Yes. shap is free and open source — you can use, modify and self-host it.
What license does shap use?
shap is available under the MIT license.
What language is shap written in?
shap is written mainly in Jupyter Notebook.
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