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We make Bayesian Additive Regression Networks (BARN) available as a Python package, barmpy, with documentation at {https://dvbuntu.github.io/barmpy/} for general machine learning practitioners. Our object-oriented design is compatible with SciKit-Learn, allowing usage of their tools like cross-validation. To ease learning to use barmpy, we produce a companion tutorial that expands on reference information in the documentation. Any interested user can pip install barmpy from the official PyPi repository. barmpy also serves as a baseline Python library for generic Bayesian Additive Regression Models.
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Danielle Van Boxel (2024) studied this question.
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