Re: [R] caret train and trainControl

Max, Thanks, I do understand that the final model is fitted. I think I was not clear in my posting. I am changing datasets between tuning and real training. So maybe I tune on "trainset" but its only 5000 rows, doing my gridsearch and all that, and then once I have the hyper parameters, I

Re: [R] caret train and trainControl

Brian, This is all outlined in the package documentation. The final model is fit automatically. For example, using 'verboseIter' provides details. From ?train > knnFit1 <- train(TrainData, TrainClasses, + method = "knn", + preProcess = c("center", "scale"), +

[R] caret train and trainControl

I am used to packages like e1071 where you have a tune step and then pass your tunings to train. It seems with caret, tuning and training are both handled by train. I am using train and trainControl to find my hyper parameters like so: MyTrainControl=trainControl( method = "cv", number=5,