'Rcpp' Implementation of 'FSelector' Entropy-Based Feature Selection Algorithms with a Sparse Matrix Support

'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.


Reference manual

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install.packages("FSelectorRcpp")

0.3.13 by Zygmunt Zawadzki, 2 years ago


https://github.com/mi2-warsaw/FSelectorRcpp


Report a bug at https://github.com/mi2-warsaw/FSelectorRcpp/issues


Browse source code at https://github.com/cran/FSelectorRcpp


Authors: Zygmunt Zawadzki [aut, cre] , Marcin Kosinski [aut] , Krzysztof Slomczynski [ctb] , Damian Skrzypiec [ctb] , Patrick Schratz [ctb]


Documentation:   PDF Manual  


GPL-2 license


Imports Rcpp, foreach, iterators

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

Linking to Rcpp, BH, RcppArmadillo, testthat


Imported by sphereML, svmodt.

Suggested by filtro, mlr, mlr3filters, mlrCPO, sense.


See at CRAN