Axing a bagged tree.

*_bagg objects are created from the ipred package, which is used for bagging classification, regression and survival trees.

Usage

# S3 method for class 'regbagg'
axe_call(x, verbose = FALSE, ...)

# S3 method for class 'classbagg'
axe_call(x, verbose = FALSE, ...)

# S3 method for class 'survbagg'
axe_call(x, verbose = FALSE, ...)

# S3 method for class 'regbagg'
axe_ctrl(x, verbose = FALSE, ...)

# S3 method for class 'classbagg'
axe_ctrl(x, verbose = FALSE, ...)

# S3 method for class 'survbagg'
axe_ctrl(x, verbose = FALSE, ...)

# S3 method for class 'regbagg'
axe_data(x, verbose = FALSE, ...)

# S3 method for class 'classbagg'
axe_data(x, verbose = FALSE, ...)

# S3 method for class 'survbagg'
axe_data(x, verbose = FALSE, ...)

# S3 method for class 'regbagg'
axe_env(x, verbose = FALSE, ...)

# S3 method for class 'classbagg'
axe_env(x, verbose = FALSE, ...)

# S3 method for class 'survbagg'
axe_env(x, verbose = FALSE, ...)

Arguments

x

A model object.

verbose

Print information each time an axe method is executed. Notes how much memory is released and what functions are disabled. Default is FALSE.

...

Any additional arguments related to axing.

Value

Axed *_bagg object.

Examples

library(ipred)

fit_mod <- function() {
  boop <- runif(1e6)
  bagging(y ~ x, data.frame(y = rnorm(1e4), x = rnorm(1e4)))
}

mod_fit <- fit_mod()
mod_res <- butcher(mod_fit)

weigh(mod_fit)
#> # A tibble: 705 × 2
#>    object              size
#>    <chr>              <dbl>
#>  1 mtrees.btree.terms  21.9
#>  2 mtrees.btree.terms  21.9
#>  3 mtrees.btree.terms  21.9
#>  4 mtrees.btree.terms  21.9
#>  5 mtrees.btree.terms  21.9
#>  6 mtrees.btree.terms  21.9
#>  7 mtrees.btree.terms  21.9
#>  8 mtrees.btree.terms  21.9
#>  9 mtrees.btree.terms  21.9
#> 10 mtrees.btree.terms  21.9
#> # ℹ 695 more rows
weigh(mod_res)
#> # A tibble: 480 × 2
#>    object              size
#>    <chr>              <dbl>
#>  1 mtrees.btree.where 0.680
#>  2 mtrees.btree.where 0.680
#>  3 mtrees.btree.where 0.680
#>  4 mtrees.btree.where 0.680
#>  5 mtrees.btree.where 0.680
#>  6 mtrees.btree.where 0.680
#>  7 mtrees.btree.where 0.680
#>  8 mtrees.btree.where 0.680
#>  9 mtrees.btree.where 0.680
#> 10 mtrees.btree.where 0.680
#> # ℹ 470 more rows