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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.

Usage

# S3 method for 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)
mars_bag <- bagger(Ozone ~ ., data = airquality, base_model = "MARS", times = 5)
predict(mars_bag, new_data = airquality[, -1])
#> # A tibble: 153 × 1
#>    .pred
#>    <dbl>
#>  1  38.6
#>  2  19.8
#>  3  15.8
#>  4  18.5
#>  5 NaN  
#>  6 NaN  
#>  7  25.2
#>  8  14.4
#>  9  12.4
#> 10  31.0
#> # … with 143 more rows