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The predict() function computes predictions from each of the
models in the ensembles and returns a single aggregated value
for each sample in new_data.
# S3 method for bagger
predict(object, new_data, type = NULL, ...)An object generated by bagger().
A data frame of predictors. If a recipe or formula were originally used, the original data should be passed here instead of a preprocessed version.
A single character value for the type of
predictions. For regression models, type = 'numeric' is valid
and 'class' and 'prob' are valid for classification models.
Not currently used.
data(airquality)
set.seed(7687)
cart_bag <- bagger(Ozone ~ ., data = airquality, base_model = "CART", times = 5)
predict(cart_bag, new_data = airquality[, -1])
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