'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: 0.3.13 Depends: R (≥ 3.4) Imports: Rcpp (≥ 0.12.12), foreach, iterators LinkingTo: Rcpp, BH, RcppArmadillo, testthat Suggests: Matrix, testthat, 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: 2024-10-02 DOI: 10.32614/CRAN.package.FSelectorRcpp Author: Zygmunt Zawadzki [aut, cre], Marcin Kosinski [aut], Krzysztof Slomczynski [ctb], Damian Skrzypiec [ctb], Patrick Schratz [ctb] 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 Documentation: Downloads: Reverse dependencies: Linking:Please use the canonical form https://CRAN.R-project.org/package=FSelectorRcpp to link to this page.
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