Explainers

SHAP Explainers Reference

This document provides comprehensive information about all SHAP explainer classes, their parameters, methods, and when to use each type.

Overview

SHAP provides specialized explainers for different model types, each optimized for specific architectures. The general shap.Explainer class automatically selects the appropriate algorithm based on the model type.

Core Explainer Classes

shap.Explainer (Auto-selector)

Purpose: Automatically uses Shapley values to explain any machine learning model or Python function by selecting the most appropriate explainer algorithm.