shap - Explain machine learning predictions with SHAP
Compute SHAP values and generate explanations, visualizations, debugging analyses, fairness assessments, and model comparisons for machine learning models.
Tags
Updated: 2026-10-03Capabilities
Typical Inputs
Typical Outputs
What this skill does
- Compute SHAP values
- Explain model predictions
- Generate SHAP plots
- Debug model behavior
- Analyze bias and fairness
- Compare model importance
- Implement explainable AI
Inputs
- Trained machine learning model
- Test dataset
- Background data
- Target labels
- Protected attributes
- Model comparison set
Outputs
- SHAP values
- SHAP visualizations
- Prediction explanations
- Model debugging analyses
- Fairness and bias analyses
- Feature importance comparisons
- Explanation service
Requirements
- SHAP Python library
- Supported machine learning model
- Compatible model framework