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README.md
In ebm: Explainable Boosting Machines
ebm
A reticulate-powered interface to the Python InterpretML framework for fitting explainable boosting machines (EBMs). 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.
Installation
Currently, you can only install the ebm package from GitHub (coming soon to CRAN):
# install.packages("remotes")
remotes::install_github("bgreenwell/ebm")
Usage
For a thorough overview of using the ebm package, see this article.
Try the ebm package in your browser
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ebm documentation built on April 3, 2025, 7:16 p.m.
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ebm
A reticulate-powered interface to the Python InterpretML framework for fitting explainable boosting machines (EBMs). 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.
Installation
Currently, you can only install the ebm package from GitHub (coming soon to CRAN):
# install.packages("remotes")
remotes::install_github("bgreenwell/ebm")
Usage
For a thorough overview of using the ebm package, see this article.
Try the ebm package in your browser
Any scripts or data that you put into this service are public.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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