axe-ipred {butcher} | R Documentation |
Axing a bagged tree.
Description
*_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 |
... |
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)
weigh(mod_res)
[Package butcher version 0.3.4 Index]