BARMPy: Bayesian Additive Regression Models Python Package

• URL: http://arxiv.org/abs/2404.04738v1
• Date: Sat, 6 Apr 2024 21:51:53 GMT
• Title: BARMPy: Bayesian Additive Regression Models Python Package
• Authors: Danielle Van Boxel,
• Abstract summary: We make Bayesian Additive Regression Networks (BARN) available as a Python package, textttbarmpy, with documentation. textttbarmpy also serves as a baseline Python library for generic Bayesian Additive Regression Models.
• Score: 0.0
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: We make Bayesian Additive Regression Networks (BARN) available as a Python package, \texttt{barmpy}, with documentation at \url{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 \texttt{barmpy}, we produce a companion tutorial that expands on reference information in the documentation. Any interested user can \texttt{pip install barmpy} from the official PyPi repository. \texttt{barmpy} also serves as a baseline Python library for generic Bayesian Additive Regression Models.

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