xai-gpt-shap 1.0.0

A library for explainable AI with SHAP and GPT-based explanations.

xai-gpt-shap

xai-gpt-shap is a Python library for explainable AI (XAI) that combines SHAP (SHapley Additive exPlanations) value analysis with OpenAI GPT-based explanations to make machine learning model predictions more interpretable.

This library allows you to:

• Perform SHAP analysis on machine learning models.
• Generate role-specific explanations for SHAP results using OpenAI GPT (e.g., for beginners, analysts, or researchers).
• Interactively explore and understand SHAP results via a command-line interface (CLI).

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Key Features

• SHAP Integration: Calculate SHAP values for any machine learning model and dataset.
• OpenAI GPT Integration: Automatically explain SHAP results using OpenAI GPT with role-specific messages (e.g., beginner, analyst, executive summary).
• Interactive Chat: Engage in an interactive conversation with GPT to further explore results.
• CLI Support: Easily run SHAP analysis and explanations directly from the command line.

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Installation

Install the library using pip:

pip install xai-gpt-shap