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Shapley Additive Explanations Python Packages

Python packages with the GitHub topic shapley-additive-explanations. Sorted by monthly downloads, with stars and forks.
LudgerHentschel
treeig

Exact Integrated Gradients for tree ensembles, including XGBoost, LightGBM, Random Forests, and Gradient Boosting. Computes fast, exact feature attributions for tree models without numerical gradients, numerical integration, Monte Carlo sampling, or path approximations.

842 1 0
LudgerHentschel
unifiedig

Provides a unified approach to Integrated Gradients: a common API for many models, include tree-based models; and common baseline semantics with prediction-neutral baseline distributions as the default.

644 0 0
amaxiom
rshap

Undertanding the impact of individual data instances on model performance using residual decomposition and Shapley values

50 1 0
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