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| -rw-r--r-- | man/predict.gensvm.grid.Rd | 49 |
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diff --git a/man/predict.gensvm.grid.Rd b/man/predict.gensvm.grid.Rd new file mode 100644 index 0000000..d4cbd68 --- /dev/null +++ b/man/predict.gensvm.grid.Rd @@ -0,0 +1,49 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/predict.gensvm.grid.R +\name{predict.gensvm.grid} +\alias{predict.gensvm.grid} +\title{Predict class labels from the GenSVMGrid class} +\usage{ +\method{predict}{gensvm.grid}(grid, newx, ...) +} +\arguments{ +\item{grid}{A \code{gensvm.grid} object trained with \code{refit=TRUE}} + +\item{newx}{Matrix of new values for \code{x} for which predictions need to +be computed.} + +\item{\dots}{further arguments are passed to predict.gensvm()} +} +\value{ +a vector of class labels, with the same type as the original class +labels provided to gensvm.grid() +} +\description{ +Predict class labels using the best model from a grid search. +After doing a grid search with the \code{\link{gensvm.grid}} function, this +function can be used to make predictions of class labels. It uses the best +GenSVM model found during the grid search to do the predictions. Note that +this model is only available if \code{refit=TRUE} was specified in the +\code{\link{gensvm.grid}} call (the default). +} +\examples{ +x <- iris[, -5] +y <- iris[, 5] + +# run a grid search +grid <- gensvm.grid(x, y) + +# predict training sample +y.hat <- predict(grid, x) + +} +\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}. +} + |
