ml-model-explainer
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
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