Package: FSelector 0.34

FSelector: Selecting Attributes

Functions for selecting attributes from a given dataset. Attribute subset selection is the process of identifying and removing as much of the irrelevant and redundant information as possible.

Authors:Piotr Romanski, Lars Kotthoff, Patrick Schratz

FSelector_0.34.tar.gz
FSelector_0.34.zip(r-4.7)FSelector_0.34.zip(r-4.6)FSelector_0.34.zip(r-4.5)
FSelector_0.34.tgz(r-4.6-any)FSelector_0.34.tgz(r-4.5-any)
FSelector_0.34.tar.gz(r-4.7-any)FSelector_0.34.tar.gz(r-4.6-any)
FSelector_0.34.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
FSelector/json (API)

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

Bug tracker:https://github.com/larskotthoff/fselector/issues

Uses libs:
  • openjdk– OpenJDK Java runtime, using Hotspot JIT

On CRAN:

Conda:

openjdk

8.44 score 12 stars 3 packages 547 scripts 4.7k downloads 23 mentions 20 exports 6 dependencies

Last updated from:26c313ca5e. Checks:7 NOTE, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64NOTE133
source / vignettesOK172
linux-release-x86_64NOTE135
macos-release-arm64NOTE93
macos-oldrel-arm64NOTE87
windows-develNOTE127
windows-releaseNOTE76
windows-oldrelNOTE86
wasm-releaseOK112

Exports:as.simple.formulabackward.searchbest.first.searchcfschi.squaredconsistencycutoff.biggest.diffcutoff.kcutoff.k.percentexhaustive.searchforward.searchgain.ratiohill.climbing.searchinformation.gainlinear.correlationoneRrandom.forest.importancerank.correlationreliefsymmetrical.uncertainty

Dependencies:digestentropyrandomForestrJavaRWekaRWekajars

Readme and manuals

Help Manual

Help pageTopics
Package for selecting attributesFSelector-package FSelector
Converting to formulasas.simple.formula
Best-first searchbest.first.search
CFS filtercfs
Chi-squared filterchi.squared
Consistency-based filterconsistency
Correlation filterlinear.correlation rank.correlation
Cutoffscutoff.biggest.diff cutoff.k cutoff.k.percent
Entropy-based filtersgain.ratio information.gain symmetrical.uncertainty
Exhaustive searchexhaustive.search
Greedy searchbackward.search forward.search
Hill climbing searchhill.climbing.search
OneR algorithmoneR
RandomForest filterrandom.forest.importance
RReliefF filterrelief