FSelectorRcpp: '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.
Version:
0.3.13
Depends:
R (≥ 3.4)
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年10月02日
Author:
Zygmunt Zawadzki [aut, cre],
Marcin Kosinski [aut],
Krzysztof Slomczynski [ctb],
Damian Skrzypiec [ctb],
Patrick Schratz
ORCID iD
[ctb]
Maintainer:
Zygmunt Zawadzki <zygmunt at zstat.pl>
NeedsCompilation:
yes
Documentation:
Downloads:
Reverse dependencies:
Linking:
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