Package: GGClassification 0.1

GGClassification: Gabriel Graph Based Large-Margin Classifiers

Contains the implementation of a binary large margin classifier based on Gabriel Graph. References for this method can be found in L.C.B. Torres et al. (2015) <doi:10.1049/el.2015.1644>.

Authors:Thiago Coutinho [aut], Felipe Campos [aut, cre], Gustavo Silva [aut], Luiz Torres [aut], Antonio Braga [aut]

GGClassification_0.1.tar.gz
GGClassification_0.1.zip(r-4.7-x86_64)GGClassification_0.1.zip(r-4.7-arm64)GGClassification_0.1.zip(r-4.6-x86_64)GGClassification_0.1.zip(r-4.6-arm64)GGClassification_0.1.zip(r-4.5-x86_64)
GGClassification_0.1.tgz(r-4.6-x86_64)GGClassification_0.1.tgz(r-4.6-arm64)GGClassification_0.1.tgz(r-4.5-x86_64)GGClassification_0.1.tgz(r-4.5-arm64)
GGClassification_0.1.tar.gz(r-4.7-arm64)GGClassification_0.1.tar.gz(r-4.7-x86_64)GGClassification_0.1.tar.gz(r-4.6-arm64)GGClassification_0.1.tar.gz(r-4.6-x86_64)
GGClassification_0.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
GGClassification/json (API)

# Install 'GGClassification' in R:
install.packages('GGClassification', repos = c('https://fvcampos.r-universe.dev', 'https://cloud.r-project.org'))
Uses libs:
  • c++– GNU Standard C++ Library v3

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

cpp

1.00 score 330 downloads 3 exports 2 dependencies

Last updated from:f5d71aee19. Checks:15 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK85
linux-devel-x86_64OK101
source / vignettesOK164
linux-release-arm64OK81
linux-release-x86_64OK96
macos-release-arm64OK182
macos-release-x86_64OK424
macos-oldrel-arm64OK102
macos-oldrel-x86_64OK364
windows-devel-arm64OK344
windows-devel-x86_64OK148
windows-release-arm64OK348
windows-release-x86_64OK99
windows-oldrel-x86_64OK102
wasm-releaseOK97

Exports:GabrielGraphmodelpredict

Dependencies:RcppRcppEigen