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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 details. 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.

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VersionRepositoryFileSize
0.1.0 rolling source/ R- ebm_0.1.0.tar.gz 856.5 KiB
0.1.0 latest source/ R- ebm_0.1.0.tar.gz 856.5 KiB
0.1.0 2026-04-09 windows/windows R-4.5 ebm_0.1.0.zip 504.9 KiB

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