'Rcpp' (free of 'Java'/'Weka') implementation of 'FSelector' entropy-based feature selection algorithms based on an MDL discretization (Fayyad U. M., Irani K. B.: Multi-Interval Discretization of Continuous-Valued Attributes for Classification Learning. In 13'th International Joint Conference on Uncertainly in Artificial Intelligence (IJCAI93), pages 1022-1029, Chambery, France, 1993.) <https://www.ijcai.org/Proceedings/93-2/Papers/022.pdf> with a sparse matrix support.
Version: | 0.3.11 |
Depends: | R (≥ 3.4) |
Imports: | Rcpp (≥ 0.12.12), foreach, iterators |
LinkingTo: | Rcpp, BH, RcppArmadillo, testthat |
Suggests: | testthat, Matrix, RcppArmadillo, dplyr, RWeka, entropy, FSelector, randomForest, doParallel, rpart, MASS, covr, parallel, htmltools, magrittr, knitr, RTCGA.rnaseq, ggplot2, microbenchmark, pbapply, tibble, rmarkdown, lintr, pkgdown, withr |
Published: | 2023-04-28 |
DOI: | 10.32614/CRAN.package.FSelectorRcpp |
Author: | Zygmunt Zawadzki [aut, cre],
Marcin Kosinski [aut],
Krzysztof Slomczynski [ctb],
Damian Skrzypiec [ctb],
Patrick Schratz |
Maintainer: | Zygmunt Zawadzki <zygmunt at zstat.pl> |
BugReports: | https://github.com/mi2-warsaw/FSelectorRcpp/issues |
License: | GPL-2 |
URL: | https://github.com/mi2-warsaw/FSelectorRcpp |
NeedsCompilation: | yes |
CRAN checks: | FSelectorRcpp results [issues need fixing before 2024-09-30] |
Reference manual: | FSelectorRcpp.pdf |
Vignettes: |
Microbenchmarks of FSelectoRcpp and FSelector - discretization Get started: Motivation, Installation and Quick Workflow Integer variables |
Package source: | FSelectorRcpp_0.3.11.tar.gz |
Windows binaries: | r-devel: FSelectorRcpp_0.3.11.zip, r-release: FSelectorRcpp_0.3.11.zip, r-oldrel: FSelectorRcpp_0.3.11.zip |
macOS binaries: | r-release (arm64): FSelectorRcpp_0.3.11.tgz, r-oldrel (arm64): FSelectorRcpp_0.3.11.tgz, r-release (x86_64): FSelectorRcpp_0.3.11.tgz, r-oldrel (x86_64): FSelectorRcpp_0.3.11.tgz |
Old sources: | FSelectorRcpp archive |
Reverse suggests: | mlr, mlr3filters, mlrCPO, sense |
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