Nothing
stacking_train <- function(X, Y, Method, Metamodel, core = 1, cross_validation = TRUE, use_X = FALSE, TrainEachFold = FALSE, Nfold = 10, num_sample = 10, proportion = 0.8) {
base <- train_basemodel(X, Y, Method, core, cross_validation, Nfold, num_sample, proportion)
which_to_use <- 1:base$no_base
meta <- train_metamodel(X, base, which_to_use, Metamodel, use_X, TrainEachFold)
stacking_train_result<-list(base = base,
meta = meta
)
stacking_train_result
}
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