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.
- Version1.0
- R version≥ 3.5.0
- LicenseGPL-3
- Needs compilation?No
- Last release03/07/2023
Documentation
Team
Anna Jenul
Kristian Hovde Liland
Show author detailsRolesReviewerStefan Schrunner
Oliver Tomic
Show author detailsRolesContributorJürgen Pilz
Show author detailsRolesContributor
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- Imports9 packages
- Suggests15 packages