R-universe search: "interpretable-ai"

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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.

ai blackbox explainable-ai explainable-machine-learning explainable-ml glassbox iml interpretability interpretability-and-explainability interpretable interpretable-ai interpretable-machine-learning interpretable-ml interpretable-models machine-learning xai

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