Package: FSelectorRcpp 0.3.13

Zygmunt Zawadzki

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.

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

FSelectorRcpp_0.3.13.tar.gz
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FSelectorRcpp_0.3.13.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
FSelectorRcpp/json (API)

# Install 'FSelectorRcpp' in R:
install.packages('FSelectorRcpp', repos = c('https://mi2-warsaw.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/mi2-warsaw/fselectorrcpp/issues

Uses libs:
  • c++– GNU Standard C++ Library v3

On CRAN:

Conda:

entropyfeature-selectionrcppsparse-matrixcpp

9.14 score 36 stars 2 packages 153 scripts 3.5k downloads 2 mentions 12 exports 30 dependencies

Last updated from:e15f16a7b9. Checks:13 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK257
linux-devel-x86_64OK233
source / vignettesOK322
linux-release-arm64OK230
linux-release-x86_64OK253
macos-release-arm64OK219
macos-release-x86_64OK614
macos-oldrel-arm64OK218
macos-oldrel-x86_64OK422
windows-develOK245
windows-releaseOK264
windows-oldrelOK230
wasm-releaseOK240

Exports:.information_gaincustomBreaksControlcut_attrsdiscretizediscretize_transformequalsizeControlextract_discretize_transformerfeature_searchinformation_gainmdlControlreliefto_formula

Dependencies:BHbriocallrclicodetoolscrayondescdiffobjevaluateforeachfsglueiteratorsjsonlitelifecyclemagrittrotelpkgbuildpkgloadpraiseprocessxpsR6RcppRcppArmadillorlangrprojroottestthatwaldowithr

Benchmarks: discretize()
About discretization | Comparisons on RTCGA data | About The Cancer Genome Atlas | Dependent variable | Independent variables | More | Discretization Benchmarks | Plots | References
Rendered frombenchmarks_discretize.Rmdusingknitr::rmarkdown

Last update: 2024-09-30
Started: 2017-02-23

Integer variables
Rendered frominteger-variables.Rmdusingknitr::rmarkdown

Last update: 2024-09-30
Started: 2018-11-05

Motivation, Installation and Quick Workflow
Installation | Motivation | Quick Workflow | Use cases | References
Rendered fromget_started.Rmdusingknitr::rmarkdown

Last update: 2024-09-30
Started: 2017-02-23