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Treffer: BARMPy: Bayesian Additive Regression Models Python Package

Title:
BARMPy: Bayesian Additive Regression Models Python Package
Publication Year:
2024
Collection:
Statistics
Document Type:
Report Working Paper
Accession Number:
edsarx.2404.04738
Database:
arXiv

Weitere Informationen

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.