train.recipe objects are slightly different from train objects
created from the caret
package in that it also includes
instructions from a recipe
for data pre-processing. Axing
functions specific to train.recipe are thus included as additional
steps are required to remove parts of train.recipe objects.
Usage
# S3 method for train.recipe
axe_call(x, ...)
# S3 method for train.recipe
axe_ctrl(x, ...)
# S3 method for train.recipe
axe_data(x, ...)
# S3 method for train.recipe
axe_env(x, ...)
# S3 method for train.recipe
axe_fitted(x, ...)
Examples
library(recipes)
library(caret)
data(biomass, package = "modeldata")
data(biomass)
recipe <- biomass %>%
recipe(HHV ~ carbon + hydrogen + oxygen + nitrogen + sulfur) %>%
step_center(all_predictors()) %>%
step_scale(all_predictors()) %>%
step_spatialsign(all_predictors())
train.recipe_fit <- train(recipe, biomass,
method = "svmRadial",
metric = "RMSE")
out <- butcher(train.recipe_fit, verbose = TRUE)
#> ✔ Memory released: 183.39 kB