I'm trying to train an ensemble using the caretList function in the caret package.
I'm using these models:
model_list <- caretList(Ticket_ContrattoTerminato ~ ., train[,-1], trControl = my_control, methodList = c("glm", "svmRadial", "rf", "xgbTree"), metric="ROC", tuneList = NULL, continue_on_fail = FALSE, preProcess = c("center","scale"))
I'd like to tune the hyper parameters for every single model but I don't know how to do it.
Do you have any suggestion?