GitHub / shap / shap

A game theoretic approach to explain the output of any machine learning model.

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Commit Stats

Commits: 2013
Authors: 239
Mean commits per author: 8.42
Development Distribution Score: 0.775
More commit stats: https://commits.ecosyste.ms/hosts/GitHub/repositories/shap/shap

Topics: deep-learning, explainability, gradient-boosting, interpretability, machine-learning, shap, shapley

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