train objects are created from the caret package.
Usage
# 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.
Examples
# Load libraries
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: 32.19 kB
#> ✖ Disabled: `summary()` and `update()`