ML Model Explainer

Explain machine learning model predictions using SHAP and feature importance.

Features

• SHAP Values: Explain individual predictions
• Feature Importance: Global feature rankings
• Decision Paths: Trace prediction logic
• Visualizations: Waterfall, force plots, summary plots
• Multiple Models: Support for tree-based, linear, neural networks
• Batch Explanations: Explain multiple predictions

Quick Start

from ml_model_explainer import MLModelExplainer