Axing a NaiveBayes.

NaiveBayes objects are created from the klaR package, leveraged to fit a Naive Bayes Classifier.

Usage

# S3 method for NaiveBayes
axe_call(x, verbose = FALSE, ...)

# S3 method for NaiveBayes
axe_data(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 NaiveBayes object.

Examples

library(klaR)
#> Loading required package: MASS

fit_mod <- function() {
  boop <- runif(1e6)
  NaiveBayes(
    y ~ x,
    data = data.frame(y = as.factor(rep(letters[1:4], 1e4)), x = rnorm(4e4))
  )
}

mod_fit <- fit_mod()
mod_res <- butcher(mod_fit)

weigh(mod_fit)
#> # A tibble: 7 × 2
#>   object        size
#>   <chr>        <dbl>
#> 1 x.x       0.320   
#> 2 apriori   0.00118 
#> 3 tables.x  0.00076 
#> 4 call      0.000448
#> 5 levels    0.000304
#> 6 varnames  0.000112
#> 7 usekernel 0.000056
weigh(mod_res)
#> # A tibble: 6 × 2
#>   object        size
#>   <chr>        <dbl>
#> 1 apriori   0.00118 
#> 2 tables.x  0.00076 
#> 3 levels    0.000304
#> 4 call      0.000112
#> 5 varnames  0.000112
#> 6 usekernel 0.000056