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lib-shap

Official

Explain ML models with SHAP

Data & Analytics#machine learning#xai#model interpretability#feature importance#shap#explainable ai
Authorbiomaps-infra
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill demystifies machine learning models by explaining their predictions and feature importance, making complex AI behavior understandable and actionable.

Core Features & Use Cases

  • Feature Importance: Identify which features most influence model predictions.
  • Prediction Explanation: Understand why a model made a specific decision for an individual instance.
  • Model Debugging: Detect biases, validate behavior, and identify potential issues.
  • Use Case: You have a credit risk model. Use this Skill to explain why a specific applicant was denied, highlighting the key factors (e.g., credit score, debt-to-income ratio) that led to the decision.

Quick Start

Use the lib-shap skill to generate a beeswarm plot for the SHAP values of the test dataset.

Dependency Matrix

Required Modules

None required

Components

references

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: lib-shap
Download link: https://github.com/biomaps-infra/blender-opencode/archive/main.zip#lib-shap

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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