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UBayFS: A User-Guided Bayesian Framework for Ensemble Feature Selection
The framework proposed in Jenul et al., (2022) <doi:10.1007/s10994-022-06221-9>, together with an interactive Shiny dashboard. 'UBayFS' is an ensemble feature selection technique embedded in a Bayesian statistical framework. The method combines data and user knowledge, where the first is extracted via data-driven ensemble feature selection. The user can control the feature selection by assigning prior weights to features and penalizing specific feature combinations. 'UBayFS' can be used for common feature selection as well as block feature selection.
Getting started
Browse package contents
Package details |
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| Author | Anna Jenul [aut, cre] (<https://orcid.org/0000-0002-6919-3483>), Stefan Schrunner [aut] (<https://orcid.org/0000-0003-1327-4855>), Kristian Hovde Liland [rev], Oliver Tomic [ctb], Jürgen Pilz [ctb] |
| Maintainer | Anna Jenul <anna.jenul@nmbu.no> |
| License | GPL-3 |
| Version | 1.0 |
| URL | https://annajenul.github.io/UBayFS/ https://joss.theoj.org/papers/10.21105/joss.04848 |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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