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Alibi is a source-available Python library by SeldonIO for inspecting and interpreting machine learning models. It provides high-quality implementations of explanations for both classification and regression, including black-box, white-box, local and global methods such as Anchor explanations for images, Integrated Gradients for text, counterfactual examples, and Accumulated Local Effects. It is complemented by the alibi-detect project for outlier detection, concept drift, and adversarial instance detection, and can be installed from PyPI or GitHub with options for distributed computing and SHAP support.
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Excerpts where Alibi appeared in the AI's answer
Alibi Explain: An open-source Python library focused on machine learning model inspection and interpretation
Alibi Explain – An open-source Python library focused on machine learning model interpretability and robustness, featuring counterfactual explanations.
Excerpts where Alibi appeared in the AI's answer
Alibi: Developed by Seldon, an open-source library focused on machine learning model inspection, explainability, and outlier detection.