model-interpretability
CommunityExplain ML predictions with SHAP and LIME.
Authorinfantesromeroadrian
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Provide clear, actionable explanations for ML model predictions to support debugging, regulatory compliance, and stakeholder communication.
Core Features & Use Cases
- Comprehensive overview of methods (SHAP, LIME, attention visualization, and fairness auditing) and when to use them.
- Guidance for debugging predictions and validating model behavior with per-instance and global explanations.
- Practical examples for compliance reporting, model cards, and communicating results to non-technical audiences.
Quick Start
Explain a model's prediction for a given instance using SHAP or LIME and generate a concise, human-readable explanation.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 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: model-interpretability Download link: https://github.com/infantesromeroadrian/arca-claude-code/archive/main.zip#model-interpretability Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
Agent Skills Search Helper
Install a tiny helper to your Agent, search and equip skill from 471,000+ vetted skills library on demand.