shap-explainer

Overview

SHAP-based model explainability skill for feature attribution, summary plots, interaction analysis, and model interpretation.

Capabilities

• TreeExplainer for tree-based models (XGBoost, LightGBM, Random Forest)
• DeepExplainer for neural networks
• KernelExplainer for model-agnostic explanations
• Summary, dependence, and force plots
• Interaction value computation
• Cohort-based analysis
• Waterfall and bar plots
• Expected value analysis

Target Processes