MDFS: MultiDimensional Feature Selection

Functions for MultiDimensional Feature Selection (MDFS): calculating multidimensional information gains, scoring variables, finding important variables, plotting selection results. This package includes an optional CUDA implementation that speeds up information gain calculation using NVIDIA GPGPUs. R. Piliszek et al. (2019) <doi:10.32614/RJ-2019-019>.

Version: 1.2.0
Depends: R (≥ 3.4.0)
Published: 2021-02-09
Author: Radosław Piliszek [aut, cre], Krzysztof Mnich [aut], Paweł Tabaszewski [aut], Szymon Migacz [aut], Andrzej Sułecki [aut], Witold Remigiusz Rudnicki [aut]
Maintainer: Radosław Piliszek <r.piliszek at uwb.edu.pl>
License: GPL-3
URL: https://featureselector.uco.uwb.edu.pl/software/mdfs/
NeedsCompilation: yes
SystemRequirements: C++11
Materials: NEWS
CRAN checks: MDFS results

Documentation:

Reference manual: MDFS.pdf

Downloads:

Package source: MDFS_1.2.0.tar.gz
Windows binaries: r-devel: MDFS_1.2.0.zip, r-devel-UCRT: MDFS_1.2.0.zip, r-release: MDFS_1.2.0.zip, r-oldrel: MDFS_1.2.0.zip
macOS binaries: r-release (arm64): MDFS_1.2.0.tgz, r-release (x86_64): MDFS_1.2.0.tgz, r-oldrel: MDFS_1.2.0.tgz
Old sources: MDFS archive

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