'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 |
| 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 |
| Reference manual: | FSelectorRcpp.html ,FSelectorRcpp.pdf |
| Vignettes: | Benchmarks: discretize() (source,R code) Motivation, Installation and Quick Workflow (source,R code) Integer variables (source,R code) |
| Package source: | FSelectorRcpp_0.3.13.tar.gz |
| Windows binaries: | r-devel:FSelectorRcpp_0.3.13.zip, r-release:FSelectorRcpp_0.3.13.zip, r-oldrel:FSelectorRcpp_0.3.13.zip |
| macOS binaries: | r-release (arm64):FSelectorRcpp_0.3.13.tgz, r-oldrel (arm64):FSelectorRcpp_0.3.13.tgz, r-release (x86_64):FSelectorRcpp_0.3.13.tgz, r-oldrel (x86_64):FSelectorRcpp_0.3.13.tgz |
| Old sources: | FSelectorRcpp archive |
| Reverse imports: | sphereML |
| Reverse suggests: | filtro,mlr,mlr3filters,mlrCPO,sense |
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