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.