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NaiveBayes objects are created from the klaR package, leveraged to fit a Naive Bayes Classifier.
# S3 method for NaiveBayes
axe_call(x, verbose = FALSE, ...)# S3 method for NaiveBayes
axe_data(x, verbose = FALSE, ...)
Axed NaiveBayes object.
A model object.
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.
if (FALSE) { # rlang::is_installed("klaR")
library(klaR)
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)
weigh(mod_res)
}
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