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gensvm
View on CRAN: Click
here
Download and install gensvm package within the R console
Install from CRAN:
install.packages("gensvm")
Install from Github:
library("remotes")
install_github("cran/gensvm")
Install by package version:
library("remotes")
install_version("gensvm", "0.1.7")
Attach the package and use:
library("gensvm")
Maintained by
Gertjan van den Burg
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.gensvm . gensvm citation info . gensvm results . gensvm.pdf . gensvm_0.1.7.tar.gz . gensvm_0.1.7.zip . gensvm_0.1.7.zip . gensvm_0.1.7.zip . gensvm_0.1.7.tgz . gensvm_0.1.7.tgz . gensvm_0.1.7.tgz . gensvm_0.1.7.tgz . gensvm_0.1.7.tgz . gensvm_0.1.7.tgz . gensvm archive . https://CRAN.R-project.org/package=gensvm .
First Published: 2018-04-19
Latest Update: 2023-01-28
Description:
The GenSVM classifier is a generalized multiclass support vector
machine (SVM). This classifier aims to find decision boundaries that
separate the classes with as wide a margin as possible. In GenSVM, the
loss function is very flexible in the way that misclassifications are
penalized. This allows the user to tune the classifier to the dataset
at hand and potentially obtain higher classification accuracy than
alternative multiclass SVMs. Moreover, this flexibility means that
GenSVM has a number of other multiclass SVMs as special cases. One of
the other advantages of GenSVM is that it is trained in the primal
space, allowing the use of warm starts during optimization. This
means that for common tasks such as cross validation or repeated model
fitting, GenSVM can be trained very quickly. Based on: G.J.J. van den
Burg and P.J.F. Groenen (2018) .
How to cite:
Gertjan van den Burg (2018). gensvm: A Generalized Multiclass Support Vector Machine. R package version 0.1.7, https://cran.r-project.org/web/packages/gensvm. Accessed 07 Apr. 2025.
Previous versions and publish date:
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View gensvm citation profile
Other R packages that gensvm depends,
imports, suggests or enhances
Complete documentation for gensvm
Functions, R codes and Examples using
the gensvm R package
Some associated functions: coef.gensvm.grid . coef.gensvm . fitted.gensvm.grid . fitted.gensvm . gensvm-package . gensvm.accuracy . gensvm.generate.cv.idx . gensvm.grid . gensvm.load.full.grid . gensvm.load.small.grid . gensvm.load.tiny.grid . gensvm.maxabs.scale . gensvm . gensvm.rank.score . gensvm.refit . gensvm.train.test.split . gensvm.validate.param.grid . gensvm.validate.params . plot.gensvm.grid . plot.gensvm . predict.gensvm.grid . predict.gensvm . print.gensvm.grid . print.gensvm .
Some associated R codes: coef.gensvm.R . coef.gensvm.grid.R . fitted.gensvm.R . fitted.gensvm.grid.R . gensvm-package.R . gensvm.R . gensvm.accuracy.R . gensvm.grid.R . gensvm.maxabs.scale.R . gensvm.refit.R . gensvm.train.test.split.R . plot.gensvm.R . plot.gensvm.grid.R . predict.gensvm.R . predict.gensvm.grid.R . print.gensvm.R . print.gensvm.grid.R . validate.R . Full gensvm package functions and examples
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