Package: kernelFactory 0.3.0

Michel Ballings

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-any)kernelFactory_0.3.0.zip(r-4.6-any)kernelFactory_0.3.0.zip(r-4.5-any)
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✨
DESCRIPTION |NEWS
card.svg |card.png
kernelFactory/json (API)

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

Bug tracker:https://github.com/cranhaven/cranhaven.r-universe.dev/issues

Datasets:

On CRAN:

Conda:

archivedpackagesr-universe

1.70 score 5 stars 4 scripts 325 downloads 2 exports 4 dependencies

Last updated from:6d69e98bdc (on package/kernelFactory). Checks:7 NOTE, 2 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-develNOTE115
source / vignettesOK158
linux-releaseNOTE106
macos-releaseNOTE114
macos-oldrelNOTE118
windows-develNOTE86
windows-releaseNOTE79
windows-oldrelNOTE67
wasm-releaseOK72

Exports:kernelFactorykFNews

Dependencies:AUCgenalgkernlabrandomForest