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SHAP, short for SHapley Additive exPlanations, is an open-source framework and library for interpreting machine learning predictions. It draws on Shapley values from game theory to assign contributions to input features. These values help explain how a model's output relates to a chosen baseline, ma...
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InterpretML is a Python library focused on providing interpretable machine learning models. It allows users to build models that are inherently interpretable, rather than relying on post-hoc explanation techniques. InterpretML supports various model types, including generalized additive models (GAMs...
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