Shypd.aiThe largest open index of AI toolsAlibi is an open-source Python library for machine learning model inspection and interpretation. It provides high-quality implementations of various explanation methods for classification and regression models.
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Alibi is a source-available Python library designed for machine learning model inspection and interpretation. It offers high-quality implementations of black-box, white-box, local, and global explanation methods for both classification and regression models. The library supports diverse explanation techniques such as Anchor explanations, Integrated Gradients, Counterfactual examples, Accumulated Local Effects, Kernel SHAP, and Tree SHAP. It also includes algorithms for model confidence and prototype generation. Alibi can be installed via PyPI, GitHub source, or Anaconda, with options for distributed computation and SHAP support. Its API is inspired by scikit-learn, featuring distinct initialize, fit, and explain steps, making it a valuable tool for developers and data scientists seeking to understand and debug their machine learning models.
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