MAIF/shapash
🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models
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shap/shap
A game theoretic approach to explain the output of any machine learning model.
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3 captures since 2026-05-22
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- Created: 2016-11-22
- First commit: —
- Last pushed: 2026-05-23
- Website: https://shap.readthedocs.io
- Archived: no
- Stack detected: —
- License: MIT
AI development signals
AI agent config detected
6 config paths
2 files
4 directories
Claude Code
6
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