I'm currently using caret package to fine-tune alpha / lambda values for elastic net regression. I use inside the glmnet method inside the caret train function.
So far, I've assumed that variables in the training set (XTrainMatrix) are automatically standardized inside the caret train function. Indeed, as per documentation, the glmnet function does the standardization by default
Is my assumption correct ?
enet <- train(XTrainMatrix,Train.response, method="glmnet", metric = "RMSE", trControl = ctrl.caret, tuneGrid = grid.caret)
Thank you for your advices.