train objects are created from the caret package.

# S3 method for train
axe_call(x, verbose = FALSE, ...)

# S3 method for train
axe_ctrl(x, verbose = FALSE, ...)

# S3 method for train
axe_data(x, verbose = FALSE, ...)

# S3 method for train
axe_env(x, verbose = FALSE, ...)

# S3 method for train
axe_fitted(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 train object.

Examples

# Load libraries suppressWarnings(suppressMessages(library(caret))) data(iris) train_data <- iris[, 1:4] train_classes <- iris[, 5] train_fit <- train(train_data, train_classes, method = "knn", preProcess = c("center", "scale"), tuneLength = 10, trControl = trainControl(method = "cv")) out <- butcher(train_fit, verbose = TRUE)
#> Memory released: '37,992 B'
#> Disabled: `summary()`, `update()`