S
shap
shap/shap
A game theoretic approach to explain the output of any machine learning model.
★25.7kstars
Jupyter Notebook
MIT
Updated: Today
📋 Project at a Glance
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What's this?A deep-learning/explainability tool in the Security & Governance category, built with Jupyter Notebook, open-source
Who made it?Maintained by shap team, 25.7K⭐ on GitHub, #3 out of 413 in Security & Governance
Why does it exist?With the growing demand for deep-learning and explainability in Security & Governance, shap created shap as a streamlined solution.
What can it do?Key use cases: gradient-boosting, interpretability, machine-learning
How to install with AI?Use an AI coding assistant to follow the README and automatically handle the install and environment setup.
🔗 github.com/shap/shap | 官网 https://shap.readthedocs.io
🔗 github.com/shap/shap | 官网 https://shap.readthedocs.io
Topics
deep-learningexplainabilitygradient-boostinginterpretabilitymachine-learningshapshapley