# slundberg/shap

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25,535 stars · 3,729 forks · Jupyter Notebook · MIT

## Links

- GitHub: https://github.com/slundberg/shap
- Homepage: https://shap.readthedocs.io
- awesome-repositories: https://awesome-repositories.com/repository/slundberg-shap.md

## Description

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

## Tags

### Part of an Awesome List

- [Explainable AI Libraries](https://awesome-repositories.com/f/awesome-lists/ai/explainable-ai-libraries.md) — Game-theoretic approach to explain the output of machine learning models.
- [Model Interpretability](https://awesome-repositories.com/f/awesome-lists/ai/model-interpretability.md) — Explains model outputs using a unified game-theoretic approach.
- [Model Interpretation](https://awesome-repositories.com/f/awesome-lists/ai/model-interpretation.md) — Unified approach for explaining predictions of any model.