Displaying 1 result from an estimated 1 matches for "preprocopt".
2013 Mar 06
1
CARET and NNET fail to train a model when the input is high dimensional
The following code fails to train a nnet model in a random dataset using
caret:
nR <- 700
nCol <- 2000
myCtrl <- trainControl(method="cv", number=3, preProcOptions=NULL,
classProbs = TRUE, summaryFunction = twoClassSummary)
trX <- data.frame(replicate(nR, rnorm(nCol)))
trY <- runif(1)*trX[,1]*trX[,2]^2+runif(1)*trX[,3]/trX[,4]
trY <- as.factor(ifelse(sign(trY)>0,'X1','X0'))
my.grid <- createGrid(method.name, grid.len...