FSelectorRcpp (0.1.2)

'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 with a sparse matrix support. It is also equipped with a parallel backend.

Maintainer: Zygmunt Zawadzki
Author(s): Zygmunt Zawadzki [aut, cre], Marcin Kosinski [aut], Krzysztof Slomczynski [ctb]

License: GPL-2

Uses: foreach, iterators, Rcpp, Matrix, ggplot2, randomForest, rpart, RWeka, FSelector, entropy, doSNOW, MASS, testthat, RcppArmadillo, pbapply, microbenchmark, doParallel, knitr, dplyr, magrittr, htmltools, rmarkdown, covr, tibble
Reverse suggests: customLayout, mlr, mlr3filters, mlrCPO

Released over 2 years ago.