Axing a xrf.

Axing a xrf.

Usage

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

# S3 method for class 'xrf'
axe_env(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 xrf object.

Examples

library(xrf)

xrf_big <- function() {
  boop <- runif(1e6)
  xrf(
    mpg ~ .,
    mtcars,
    xgb_control = list(nrounds = 2, max_depth = 2),
    family = 'gaussian'
  )
}

heavy_m <- xrf_big()

m <- butcher(heavy_m, verbose = TRUE)
#> ✔ Memory released: 9.51 MB

weigh(heavy_m)
#> # A tibble: 43 × 2
#>    object                             size
#>    <chr>                             <dbl>
#>  1 glm.formula                     9.57   
#>  2 rule_augmented_formula          9.57   
#>  3 base_formula                    9.57   
#>  4 xgb.callbacks.cb.evaluation.log 0.0351 
#>  5 glm.model.glmnet.fit.beta       0.0177 
#>  6 glm.model.glmnet.fit.call       0.0107 
#>  7 glm.model.glmnet.fit.a0         0.00654
#>  8 glm.model.nzero                 0.00619
#>  9 xgb.raw                         0.00578
#> 10 xgb.call                        0.00168
#> # ℹ 33 more rows
weigh(m)
#> # A tibble: 43 × 2
#>    object                              size
#>    <chr>                              <dbl>
#>  1 glm.model.glmnet.fit.beta       0.0177  
#>  2 glm.formula                     0.00879 
#>  3 glm.model.glmnet.fit.a0         0.00654 
#>  4 glm.model.nzero                 0.00619 
#>  5 xgb.raw                         0.00578 
#>  6 xgb.callbacks.cb.evaluation.log 0.00510 
#>  7 rule_augmented_formula          0.00423 
#>  8 base_formula                    0.00283 
#>  9 xgb.feature_names               0.0008  
#> 10 glm.model.lambda                0.000752
#> # ℹ 33 more rows