svmsm: Create a support vector machine (svm) adapter class for the...
In malekbs/UP: What the package does (short line)

Description Usage Format Details Fields Methods Examples

svmsm is a svm adapter. It makes the use of the universal distirbution easier

1	# svm <- svmsm$new()

An R6Class generator object

It construct a svm model adapter for the objects codesvm of the package e1071 and it inherits the class suurogate model sm. The inheritance of the class sm is required when one want to use the universal distribution

model_name: :"svm"

svmsm$new(x=NULL,y=NULL,parameters = NULL ): Creates a new svmsm object.
train(): train the surrogate model.
predict(newdata): it predicts the new data.

library(UP)
d      <- 2
X    	<- expand.grid(x1=s <- seq(0,1, length=5), x2=s)
Xtest	<- expand.grid(x1=seq(0,1,length=5), x2=seq(0,1,length=4))
Y      <- apply(X, 1, branin)
sm     <- svmsm$new()
sm$setDOE(X,Y)
sm$train() 
predictions <- sm$predict(Xtest)