Nothing
SVM.Regression.Config <- setClass("SVM.Regression.Config", slots = c(cost="numeric", epsilon="numeric", kernel="character")
, validity = function(object) {
if (object@cost>=0 && object@epsilon>0 && object@kernel %in% c("linear","polynomial","radial","sigmoid")) TRUE
else "invalid parameters"
}
, contains = "Regression.Config"
)
SVM.Regression.FitObj <- setClass("SVM.Regression.FitObj", contains = "Regression.FitObj")
make.configs.svm.regression <- function(df=expand.grid(cost=c(0.1,0.5,1.0,5.0,10,50,75,100), epsilon=c(0.1,0.25), kernel="radial")) {
ret <- lapply(1:nrow(df), function(i) {
SVM.Regression.Config(cost=df$cost[i], epsilon=df$epsilon[i], kernel=as.character(df$kernel[i]))
})
}
setMethod("BaseLearner.Fit", "SVM.Regression.Config",
function(object, formula, data, tmpfile=NULL, print.level=1) {
respVar <- all.vars(formula)[1]
y <- data[,respVar]
est <- svm(formula, data, kernel=object@kernel, cost=object@cost, epsilon=object@epsilon)
pred <- as.vector(predict(est))
if (!is.null(tmpfile)) {
save(est, file=tmpfile, compress=FALSE)
rm(est); gc()
}
ret <- SVM.Regression.FitObj(config=object
, est=if (is.null(tmpfile)) est else tmpfile
, pred=pred)
return (ret)
}
)
predict.SVM.Regression.FitObj <- function(object, newdata=NULL, ...) {
if (is.null(newdata)) return (object@pred)
if (is.character(object@est)) object@est <- load.object(object@est)
newpred <- as.vector(predict(object@est, newdata=newdata, na.action=na.pass))
#rm(object); gc()
return (newpred)
}
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