'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: | 0.3.3 |
| 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 |
| Published: | 2020-01-24 |
| Author: | Zygmunt Zawadzki [aut, cre], Marcin Kosinski [aut], Krzysztof Slomczynski [ctb], Damian Skrzypiec [ctb] |
| Maintainer: | Zygmunt Zawadzki <zygmunt at zstat.pl> |
| BugReports: | https://github.com/mi2-warsaw/FSelectorRcpp/issues |
| License: | GPL-2 |
| URL: | http://mi2-warsaw.github.io/FSelectorRcpp/ |
| NeedsCompilation: | yes |
| SystemRequirements: | C++11 |
| CRAN checks: | FSelectorRcpp results |
| Reference manual: | FSelectorRcpp.pdf |
| Vignettes: |
Microbenchmarks of FSelectoRcpp and FSelector - discretization Get started: Motivation, Installation and Quick Workflow Integer variables |
| Package source: | FSelectorRcpp_0.3.3.tar.gz |
| Windows binaries: | r-devel: FSelectorRcpp_0.3.3.zip, r-release: FSelectorRcpp_0.3.3.zip, r-oldrel: FSelectorRcpp_0.3.3.zip |
| macOS binaries: | r-release: FSelectorRcpp_0.3.3.tgz, r-oldrel: FSelectorRcpp_0.3.3.tgz |
| Old sources: | FSelectorRcpp archive |
| Reverse suggests: | customLayout, mlr, mlr3filters, mlrCPO |
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