FSelectorRcpp (0.1.8)

'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.) 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], Damian Skrzypiec [ctb]

License: GPL-2

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

Released over 2 years ago.