coef: Extract Model Coefficients

In majkamichal/naivebayes: High Performance Implementation of the Naive Bayes Algorithm

Extract Model Coefficients

Description

coef is a generic function which extracts model coefficients from specialized Naive Bayes objects.

Usage

## S3 method for class 'bernoulli_naive_bayes'
coef(object, ...)

## S3 method for class 'multinomial_naive_bayes'
coef(object, ...)

## S3 method for class 'poisson_naive_bayes'
coef(object, ...)

## S3 method for class 'gaussian_naive_bayes'
coef(object, ...)

Arguments

object	object of class inheriting from "*_naive_bayes".
...	not used.

Value

Coefficients extracted from the specialised Naive Bayes objects in form of a data frame.

Author(s)

Michal Majka, [e-mail]

See Also

bernoulli_naive_bayes, multinomial_naive_bayes, poisson_naive_bayes, gaussian_naive_bayes

Examples

data(iris)
y <- iris[[5]]
M <- as.matrix(iris[-5])

### Train the Gaussian Naive Bayes
gnb <- gaussian_naive_bayes(x = M, y = y)

### Extract coefficients
coef(gnb)

coef(gnb)[c(TRUE,FALSE)] # only means

coef(gnb)[c(FALSE,TRUE)] # only standard deviations

majkamichal/naivebayes documentation built on March 26, 2024, 8:44 p.m.