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bgreenwell
ebm:Explainable Boosting Machines
An interface to the 'Python' 'InterpretML' framework for fitting explainable boosting machines (EBMs); see Nori et al. (2019) <doi:10.48550/arXiv.1909.09223> for. EBMs are a modern type of generalized additive model that use tree-based, cyclic gradient boosting with automatic interaction detection. They are often as accurate as state-of-the-art blackbox models while remaining completely interpretable.
Maintained by Brandon M. Greenwell. Last updated 12 days ago.
aiblackboxexplainable-aiexplainable-machine-learningexplainable-mlglassboximlinterpretabilityinterpretability-and-explainabilityinterpretableinterpretable-aiinterpretable-machine-learninginterpretable-mlinterpretable-modelsmachine-learningxai
87.2 match 1 stars 4.60 score