axe-model_fit {butcher} | R Documentation |
Axing an model_fit.
Description
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 |
... |
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)
# 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)
[Package butcher version 0.3.4 Index]