ce-integration-compare

Compare calibrated explanations with SHAP and LIME outputs in CE pipelines.

78|15|Updated May 1, 2023
One-click install
npx skills add https://github.com/Moffran/calibrated_explanations --skill ce-integration-compare
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ce-integration-compare
Source: https://github.com/Moffran/calibrated_explanations/tree/main/.claude/skills/ce-integration-compare
Command: npx skills add https://github.com/Moffran/calibrated_explanations --skill ce-integration-compare

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This guide helps CE users compare calibrated explanations with SHAP and LIME outputs and configure the calibrated-explanations integration adapters.

Core Features & Use Cases

  • Integration adapters wrap a calibrated explanations explainer to expose SHAP/LIME compatible outputs.
  • Side-by-side comparison of CE rules with SHAP/LIME attributions to aid debugging and interpretation.
  • Guidance for configuring adapters in CE pipelines and debugging common issues.

Quick Start

Configure the CE SHAP/LIME adapters and generate side-by-side explanations to compare their outputs.

Frequently Asked Questions about ce-integration-compare

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I compare calibrated explanations with SHAP and LIME outputs?

Configure the CE SHAP and LIME integration adapters to wrap your calibrated explanations explainer, generating side-by-side rule and attribution outputs to compare calibrated explanations with SHAP and LIME outputs for interpretation.

What is the difference between calibrated explanation rules and SHAP feature attributions?

Calibrated explanations provide rule-based outputs, while SHAP and LIME generate feature attributions; side-by-side comparison via CE adapters helps debug interpretation differences and validate model behavior across explanation methods.

How do I configure SHAP and LIME adapters in a calibrated explanations pipeline?

Configure SHAP and LIME adapters in a calibrated explanations pipeline by using the integration modules in src/calibrated_explanations/integrations/shap.py and lime.py to ensure compatibility and generate comparable outputs.

Can I use calibrated explanations adapters with my existing SHAP and LIME workflow?

Calibrated explanations adapters wrap your CE explainer to expose SHAP and LIME compatible outputs, allowing integration into existing workflows for side-by-side debugging and interpretation of rule-based explanations.

Why are my calibrated explanations and SHAP outputs mismatched during comparison?

Mismatches between calibrated explanations and SHAP outputs often stem from adapter configuration issues; debug the CE integration adapters to ensure compatibility and verify that rule-based explanations align with feature attributions.