Package: LearnSL 1.0.0

Víctor Amador Padilla

LearnSL: Learn Supervised Classification Methods Through Examples and Code

Supervised classification methods, which (if asked) can provide step-by-step explanations of the algorithms used, as described in PK Josephine et. al., (2021) <doi:10.59176/kjcs.v1i1.1259>; and datasets to test them on, which highlight the strengths and weaknesses of each technique.

Authors:Víctor Amador Padilla [aut, cre], Juan Jose Cuadrado Gallego [ctb], Universidad de Alcala [cph]

LearnSL_1.0.0.tar.gz
LearnSL_1.0.0.zip(r-4.7)LearnSL_1.0.0.zip(r-4.6)LearnSL_1.0.0.zip(r-4.5)
LearnSL_1.0.0.tgz(r-4.6-any)LearnSL_1.0.0.tgz(r-4.5-any)
LearnSL_1.0.0.tar.gz(r-4.7-any)LearnSL_1.0.0.tar.gz(r-4.6-any)
LearnSL_1.0.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
LearnSL/json (API)

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

Bug tracker:https://github.com/comiseng/learnsl/issues

Datasets:

On CRAN:

Conda:

2.70 score 1 scripts 194 downloads 6 exports 1 dependencies

Last updated from:afb14b3ee9. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK148
source / vignettesOK129
linux-release-x86_64OK108
macos-release-arm64OK131
macos-oldrel-arm64OK128
windows-develOK113
windows-releaseOK65
windows-oldrelOK69
wasm-releaseOK89

Exports:act_methoddecision_treeknnmultivariate_linear_regressionperceptronpolynomial_regression

Dependencies:cli