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explainers

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

  • Skills
  • Scientific
  • 0

What it does and how to use it

A skill that teaches Claude Code to do scientific tasks well. It is packaged knowledge the model uses whenever it is relevant.

  1. Install the skill (command above).
  2. In Claude Code, describe what you need - the skill turns on by itself when the context fits.
  3. No commands to memorize: you talk in plain language and the skill does the rest.

Install (Claude Code)

mkdir -p .claude/skills/explainers && curl -fsSL https://doutorai.pt/data/lib/skills__explainers.md -o .claude/skills/explainers/SKILL.md

Paste this command into the terminal, in your project folder, and the component installs automatically.

Content

# 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 exp

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