April 9, 2024, 4:49 a.m. | Danielle Van Boxel

stat.ML updates on arXiv.org arxiv.org

arXiv:2404.04738v1 Announce Type: cross
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 …

arxiv bayesian package python regression stat.co stat.ml type

Data Architect

@ University of Texas at Austin | Austin, TX

Data ETL Engineer

@ University of Texas at Austin | Austin, TX

Lead GNSS Data Scientist

@ Lurra Systems | Melbourne

Senior Machine Learning Engineer (MLOps)

@ Promaton | Remote, Europe

MLOps Engineer - Hybrid Intelligence

@ Capgemini | Madrid, M, ES

Analista de Business Intelligence (Industry Insights)

@ NielsenIQ | Cotia, Brazil