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| author | Gertjan van den Burg <gertjanvandenburg@gmail.com> | 2018-03-30 22:15:56 +0100 |
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| committer | Gertjan van den Burg <gertjanvandenburg@gmail.com> | 2018-03-30 22:15:56 +0100 |
| commit | 49ec439a56e55e7a6a170186c6b3d2182e4b1752 (patch) | |
| tree | dd7be9941fabc3dccf60d0d17f5817ac024ed8d1 /R | |
| parent | Add fitted() method (diff) | |
| download | rgensvm-49ec439a56e55e7a6a170186c6b3d2182e4b1752.tar.gz rgensvm-49ec439a56e55e7a6a170186c6b3d2182e4b1752.zip | |
Add fitted for grid class
Diffstat (limited to 'R')
| -rw-r--r-- | R/fitted.gensvm.grid.R | 42 |
1 files changed, 42 insertions, 0 deletions
diff --git a/R/fitted.gensvm.grid.R b/R/fitted.gensvm.grid.R new file mode 100644 index 0000000..c6887c0 --- /dev/null +++ b/R/fitted.gensvm.grid.R @@ -0,0 +1,42 @@ +#' @title Fitted labels for the GenSVMGrid class +#' +#' @description Wrapper to get the fitted class labels from the best estimator +#' of the fitted GenSVMGrid model. Only works if refit was enabled. +#' +#' @param grid A \code{gensvm.grid} object +#' @param \dots further arguments are passed to fitted +#' +#' @return a vector of class labels, with the same type as the original class +#' labels. +#' +#' @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}. +#' +#' @seealso +#' \code{\link{plot.gensvm}}, \code{\link{predict.gensvm.grid}}, +#' \code{\link{gensvm}}, \code{\link{gensvm-package}} +#' +#' @export +#' @aliases fitted +#' +#' @examples +#' x <- iris[, -5] +#' y <- iris[, 5] +#' +#' # fit GenSVM and compute training set predictions +#' fit <- gensvm(x, y) +#' yhat <- fitted(fit) +#' +#' # compute the accuracy with gensvm.accuracy +#' gensvm.accuracy(y, yhat) +#' +fitted.gensvm.grid <- function(grid, ...) +{ + return(predict(grid, ...)) +} |
