shap - Explain and analyze machine learning models with SHAP
Compute SHAP values and produce explanations, visualizations, debugging analyses, fairness analyses, and model comparisons.
Tags
Updated: 2026-10-04Capabilities
Typical Inputs
Typical Outputs
What this skill does
- Compute SHAP values
- Generate SHAP plots
- Explain model predictions
- Debug model behavior
- Analyze bias and fairness
- Compare model explanations
- Implement explainable AI
- Analyze feature interactions
- Deploy explanation services
Inputs
- Trained machine learning model
- Feature data
- Target labels
- Background data
- Protected attributes
- Comparison models
- Deployment configuration
Outputs
- SHAP values
- Feature importance plots
- Individual prediction explanations
- Model debugging findings
- Fairness analysis results
- Model comparison results
- Explanation service endpoints
Requirements
- SHAP library support
- Compatible model framework
- Model and data access