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,
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),
+
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
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