Can we train a neural network model in parallel using multicores by leveraging foreach package, nnet and caret packages ?
I only see randomforest implementation in p
doMC doesn't support R 3.2. you can use doParallel
library(doParallel); cl <- makeCluster(detectCores()) registerDoParallel(cl) tc <- trainControl(method="boot",number=25) train(Species~.,data=iris,method="nnet",trControl=tc) stopCluster(cl)