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kernelFactory  

Kernel Factory: An Ensemble of Kernel Machines
View on CRAN: Click here


Download and install kernelFactory package within the R console
Install from CRAN:
install.packages("kernelFactory")

Install from Github:
library("remotes")
install_github("cran/kernelFactory")

Install by package version:
library("remotes")
install_version("kernelFactory", "0.3.0")



Attach the package and use:
library("kernelFactory")
Maintained by
Michel Ballings
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2012-12-22
Latest Update: 2015-09-29
Description:
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.
How to cite:
Michel Ballings (2012). kernelFactory: Kernel Factory: An Ensemble of Kernel Machines. R package version 0.3.0, https://cran.r-project.org/web/packages/kernelFactory. Accessed 22 Dec. 2024.
Previous versions and publish date:
0.1.0 (2012-12-22 13:56), 0.1.1 (2013-02-01 16:05), 0.1.2 (2013-05-27 07:34), 0.2.0 (2014-03-23 18:36), 0.2.1 (2015-05-22 22:39), 0.2.2 (2015-05-26 08:16)
Other packages that cited kernelFactory R package
View kernelFactory citation profile
Other R packages that kernelFactory depends, imports, suggests or enhances
Complete documentation for kernelFactory
Functions, R codes and Examples using the kernelFactory R package
Some associated functions: Credit . kFNews . kernelFactory . predict.kernelFactory . 
Some associated R codes: kFNews.R . kernelFactory.R . predict.kernelFactory.R . zzz.R .  Full kernelFactory package functions and examples
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