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% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/predict.gensvm.R
\name{predict.gensvm}
\alias{predict.gensvm}
\title{Predict class labels with the GenSVM model}
\usage{
\method{predict}{gensvm}(object, newdata, add.rownames = FALSE, ...)
}
\arguments{
\item{object}{Fitted \code{gensvm} object}
\item{newdata}{Matrix of new data for which predictions need to be made.}
\item{add.rownames}{add the rownames from the training data to the
predictions}
\item{\dots}{further arguments are ignored}
}
\value{
a vector of class labels, with the same type as the original class
labels.
}
\description{
This function predicts the class labels of new data using a
fitted GenSVM model.
}
\examples{
x <- iris[, -5]
y <- iris[, 5]
# create a training and test sample
attach(gensvm.train.test.split(x, y))
fit <- gensvm(x.train, y.train)
# predict the class labels of the test sample
y.test.pred <- predict(fit, x.test)
# compute the accuracy with gensvm.accuracy
gensvm.accuracy(y.test, y.test.pred)
}
\references{
Van den Burg, G.J.J. and Groenen, P.J.F. (2016). \emph{GenSVM: A Generalized
Multiclass Support Vector Machine}, Journal of Machine Learning Research,
17(225):1--42. URL \url{https://jmlr.org/papers/v17/14-526.html}.
}
\seealso{
\code{\link{plot.gensvm}}, \code{\link{predict.gensvm.grid}},
\code{\link{gensvm}}, \code{\link{gensvm-package}}
}
\author{
Gerrit J.J. van den Burg, Patrick J.F. Groenen \cr
Maintainer: Gerrit J.J. van den Burg <gertjanvandenburg@gmail.com>
}
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