Shypd.aiThe largest open index of AI toolseli5 is an open-source Python library for debugging and inspecting machine learning classifiers. It helps explain model predictions and feature importances across various frameworks like scikit-learn, Keras, and XGBoost.
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eli5 is a Python package designed to help debug and inspect machine learning classifiers, providing explanations for their predictions. It supports a wide range of machine learning frameworks, including scikit-learn, Keras (for Grad-CAM visualizations), xgboost, LightGBM, CatBoost, and lightning. The library can explain weights and predictions of linear classifiers, print decision trees, show feature importances, and debug scikit-learn pipelines. Additionally, eli5 implements algorithms for inspecting black-box models, such as TextExplainer for LIME-based explanations and permutation importance for feature importances. Explanations can be formatted for console display, HTML embedding, pandas DataFrames, or JSON for custom rendering.
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