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Axing an model_fit.

Source: R/model_fit.R
axe-model_fit.Rd

model_fit objects are created from the parsnip package.

Usage

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

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

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

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

# S3 method for class 'model_fit'
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 model_fit object.

Examples

library(parsnip)
library(rpart)

# Create model and fit
lm_fit <- linear_reg() %>%
  set_engine("lm") %>%
  fit(mpg ~ ., data = mtcars)

out <- butcher(lm_fit, verbose = TRUE)
#> ✔ Memory released: 1.46 MB

# Another parsnip model
rpart_fit <- decision_tree(mode = "regression") %>%
  set_engine("rpart") %>%
  fit(mpg ~ ., data = mtcars, minsplit = 5, cp = 0.1)

out <- butcher(rpart_fit, verbose = TRUE)
#> ✔ Memory released: 1.51 MB