Package: kernelFactory 0.3.0

kernelFactory: Kernel Factory: An Ensemble of Kernel Machines

Binary classification based on an ensemble of kernel machines ("Ballings, M. and Van den Poel, D. (2013), Kernel Factory: An Ensemble of Kernel Machines. Expert Systems With Applications, 40(8), 2904-2913"). Kernel factory is an ensemble method where each base classifier (random forest) is fit on the kernel matrix of a subset of the training data.

Authors:Michel Ballings, Dirk Van den Poel

kernelFactory_0.3.0.tar.gz
kernelFactory_0.3.0.zip(r-4.7)kernelFactory_0.3.0.zip(r-4.6)kernelFactory_0.3.0.zip(r-4.5)
kernelFactory_0.3.0.tgz(r-4.6-any)kernelFactory_0.3.0.tgz(r-4.5-any)
kernelFactory_0.3.0.tar.gz(r-4.7-any)kernelFactory_0.3.0.tar.gz(r-4.6-any)
kernelFactory_0.3.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
kernelFactory/json (API)
NEWS

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

On CRAN:

Conda:

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

1.00 score 4 scripts 238 downloads 2 exports 4 dependencies

Last updated from:eae17d030d. Checks:7 NOTE, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64NOTE108
source / vignettesOK155
linux-release-x86_64NOTE103
macos-release-arm64NOTE75
macos-oldrel-arm64NOTE74
windows-develNOTE81
windows-releaseNOTE85
windows-oldrelNOTE94
wasm-releaseOK95

Exports:kernelFactorykFNews

Dependencies:AUCgenalgkernlabrandomForest