shap
Explain and audit machine-learning predictions with SHAP. Use for selecting SHAP explainers and maskers, computing and validating feature attributions, handling multi-output explanations, and producing local or global SHAP visualizations.
- Version
- 2.1
- License
- MIT
- Compatibility
- Requires Python 3.12+ and uv for SHAP 0.52.0; model-specific libraries are optional.
Pinned to revision df088027ff23, so it is the text this page describes rather than whatever the author pushed since.
Pre-approved tools experimental
Experimental field. Support varies between clients, so this list is what the author declared, not what your client will enforce.
- Read
- Bash
Files
- skills/shap/SKILL.md
- skills/shap/references/data-maskers.md
- skills/shap/references/explainers.md
- skills/shap/references/migration.md
- skills/shap/references/modalities.md
- skills/shap/references/plots.md
- skills/shap/references/theory.md
- skills/shap/references/troubleshooting.md
- skills/shap/references/workflows.md
- skills/shap/scripts/tabular_report.py
Every link opens the file at its source, pinned to the revision this page describes.