predict.bagger: Predictions from a bagged model

In baguette: Efficient Model Functions for Bagging

Predictions from a bagged model

Description

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.

Usage

## S3 method for class 'bagger'
predict(object, new_data, type = NULL, ...)

Arguments

object	An object generated by bagger().
new_data	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.
type	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.

Examples

data(airquality)

set.seed(7687)
cart_bag <- bagger(Ozone ~ ., data = airquality, base_model = "CART", times = 5)
predict(cart_bag, new_data = airquality[, -1])

baguette documentation built on April 4, 2025, 12:22 a.m.