shap - Explain machine learning models with SHAP
Compute SHAP values and generate explanations and visualizations for machine learning predictions, feature importance, debugging, fairness, and model comparison.
Tags
Updated: 2026-10-05Typical Inputs
Typical Outputs
What this skill does
- Compute SHAP values
- Generate SHAP plots
- Explain model predictions
- Debug model behavior
- Analyze fairness and bias
- Compare feature importance
- Implement explainable AI
Inputs
- Machine learning model
- Test data
- Background data
- Training labels
- Protected attributes
- Model predictions
Outputs
- SHAP values
- Feature importance plots
- Prediction explanations
- Model debugging findings
- Fairness analysis results
- Model comparison results
- Explanation dashboards
Requirements
- SHAP library