Computational Statistics

BARMPy: Bayesian additive regression models Python package

Publication typeJournal Article
Publication date2024-08-04
scimago Q2
SJR0.566
CiteScore2.9
Impact factor1
ISSN09434062, 16139658
Abstract
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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