DESCRIPTION


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Package: gensvm
Version: 0.1.5
Date: 2020-09-04
Title: A Generalized Multiclass Support Vector Machine
Authors@R: c(person("Gertjan", "van den Burg", role=c("aut", "cre"),
			email="gertjanvandenburg@gmail.com"),
		person("Patrick", "Groenen", email="groenen@ese.eur.nl", role="ctb"))
Maintainer: Gertjan van den Burg <gertjanvandenburg@gmail.com>
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) <https://www.jmlr.org/papers/v17/14-526.html>.
License: GPL (>= 2)
Depends:
    R (>= 3.0.0)
Classification/MSC: 62H30, 68T10
URL: https://github.com/GjjvdBurg/RGenSVM
     https://jmlr.org/papers/v17/14-526.html
BugReports: https://github.com/GjjvdBurg/RGenSVM
RoxygenNote: 7.1.0
NeedsCompilation: yes