From ba2919df25526b9f686cfd178402b34d25929e26 Mon Sep 17 00:00:00 2001
From: Hector Daniel Garcia <145095823+Hecdaniel@users.noreply.github.com>
Date: Thu, 18 Apr 2024 14:02:02 -0700
Subject: [PATCH] =?UTF-8?q?Delete=20Publication=20=E2=80=9Cbarmpy-bayesian?=
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----
-publicationTitle: "BARMPy: Bayesian Additive Regression Models Python Package"
-publicationAuthor: Danielle Van Boxel
-publicationDate: "2024"
-publicationType: arXiv
-publicationAbstract: We make Bayesian Additive Regression Networks (BARN)
-  available as a Python package, `barmpy`, with documentation at this
-  [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
-  `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.
-tags:
-  - Data science
-image: /assets/images/publications/barmpy.jpg
-pdfDocument: /assets/documents/publications/2404.04738.pdf
-webLink: https://arxiv.org/abs/2404.04738
----