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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: | 1.5.3 |
| Depends: | R (≥ 3.4.0) |
| Published: | 2023-05-09 |
| 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://www.mdfs.it/ |
| NeedsCompilation: | yes |
| SystemRequirements: | C++17 |
| Materials: | NEWS |
| CRAN checks: | MDFS results |
| Reference manual: | MDFS.pdf |
| Package source: | MDFS_1.5.3.tar.gz |
| Windows binaries: | r-devel: MDFS_1.5.3.zip, r-release: MDFS_1.5.3.zip, r-oldrel: MDFS_1.5.3.zip |
| macOS binaries: | r-release (arm64): MDFS_1.5.3.tgz, r-oldrel (arm64): MDFS_1.5.3.tgz, r-release (x86_64): MDFS_1.5.3.tgz, r-oldrel (x86_64): MDFS_1.5.3.tgz |
| Old sources: | MDFS archive |
| Reverse imports: | RAFS |
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