BARMPy: Bayesian Additive Regression Models Python Package
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Abstract (arXiv)
We make Bayesian Additive Regression Networks (BARN) available as a Python package, textttbarmpy, with documentation at urlhttps://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 textttbarmpy, we produce a companion tutorial that expands on reference information in the documentation. Any interested user can textttpip install barmpy from the official PyPi repository. textttbarmpy also serves as a baseline Python library for generic Bayesian Additive Regression Models.
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References · 6
- 2014Adam: A Method for Stochastic Optimizationcited by 36,960
- 2022Training language models to follow instructions with human feedbackcited by 15,712
- 2020NeuralSens: Sensitivity Analysis of Neural Networkscited by 14
- 2020Bayesian Additive Regression Trees with Model Treescited by 11
- 2022Generalized Bayesian Additive Regression Trees Models: Beyond Conditional Conjugacycited by 8
- 2022The Rise of GitHub in Scholarly Publicationscited by 4
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