barmpy
BARMPy: Bayesian Additive Regression Models Python Package
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.
2404.04738
Country:
- North America > United States > Arizona > Pima County > Tucson (0.14)
- North America > United States > Wisconsin (0.04)
- North America > United States > Texas > Travis County > Austin (0.04)
Genre:
- Research Report (0.82)
- Instructional Material > Course Syllabus & Notes (0.34)
Technology: Information Technology > Artificial Intelligence > Machine Learning > Statistical Learning > Regression (1.00)