shap - Explain machine learning models with SHAP
Compute SHAP values and generate explanations, visualizations, debugging analyses, fairness assessments, and model comparisons for machine learning models.
Tags
Updated: 2026-10-04Capabilities
Typical Inputs
Typical Outputs
What this skill does
- Compute SHAP values
- Select model explainers
- Generate SHAP plots
- Explain individual predictions
- Analyze feature importance
- Debug model behavior
- Assess bias and fairness
- Compare model explanations
- Analyze feature interactions
- Deploy explanation services
Inputs
- Machine learning model
- Input feature data
- Training or background data
- Target labels
- Protected attributes
- Model predictions
Outputs
- SHAP values
- Feature importance plots
- Prediction explanations
- Model debugging results
- Fairness analysis results
- Model comparison results