estimate_cont <- function(data, folds, id, x, y, include_train, lrnr, task_name) {
data <- mutate(data, row_id = 1:nrow(data))
xy_dat <- select(data, any_of(c(x, y)))
this_task <- mlr3::as_task_regr(xy_dat, target = y, id = task_name)
all_folds <- pull(data, folds)
unique_folds <- unique(all_folds)
incl <- pull(data, include_train)
predictions <- map_df(
unique_folds,
~ learn_fold_cont(
task = this_task,
train_ids = which(all_folds != . & incl),
test_ids = which(all_folds == .),
lrnr = lrnr
)
)
predictions <- rename(predictions, !!task_name := pred)
out <- inner_join(data, predictions, by = "row_id")
select(out, !!id, !!task_name)
}
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