GenSVM R package

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+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/gensvm.refit.R
+\name{gensvm.refit}
+\alias{gensvm.refit}
+\title{Train an already fitted model on new data}
+\usage{
+gensvm.refit(fit, X, y, p = NULL, lambda = NULL, kappa = NULL,
+  epsilon = NULL, weights = NULL, kernel = NULL, gamma = NULL,
+  coef = NULL, degree = NULL, kernel.eigen.cutoff = NULL,
+  max.iter = NULL, verbose = NULL, random.seed = NULL)
+}
+\arguments{
+\item{fit}{Fitted \code{gensvm} object}
+
+\item{X}{Data matrix of the new data}
+
+\item{y}{Label vector of the new data}
+
+\item{verbose}{Turn on verbose output and fit progress. If NULL (the 
+default) the value from the fitted model is chosen.}
+}
+\value{
+a new fitted \code{gensvm} model
+}
+\examples{
+x <- iris[, -5]
+y <- iris[, 5]
+
+# fit a standard model and refit with slightly different parameters
+fit <- gensvm(x, y)
+fit2 <- gensvm.refit(x, y, epsilon=1e-8)
+
+# refit a model returned by a grid search
+grid <- gensvm.grid(x, y)
+fit <- gensvm.refit(fit, x, y, epsilon=1e-8)
+
+# refit on different data
+idx <- runif(nrow(x)) > 0.5
+x1 <- x[idx, ]
+x2 <- x[!idx, ]
+y1 <- y[idx]
+y2 <- y[!idx]
+
+fit1 <- gensvm(x1, y1)
+fit2 <- gensvm.refit(fit1, x2, y2)
+
+}
+\author{
+Gerrit J.J. van den Burg, Patrick J.F. Groenen \cr
+Maintainer: Gerrit J.J. van den Burg <gertjanvandenburg@gmail.com>
+}
+\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{http://jmlr.org/papers/v17/14-526.html}.
+}
+