FuzzyBinomialNaiveBayesModel: Fuzzy Binomial Naive Bayes (R6 class)

In FuzzyClass: Fuzzy and Non-Fuzzy Classifiers

Fuzzy Binomial Naive Bayes (R6 class)

Description

R6 implementation of the Fuzzy Binomial Naive Bayes classifier. Create the model with FuzzyBinomialNaiveBayesModel$new(), train it with ⁠$fit(train, cl)⁠ and classify new observations with ⁠$predict(newdata)⁠. The functional interface FuzzyBinomialNaiveBayes() trains and returns an object of this class.

Super class

FuzzyClassifier -> FuzzyBinomialNaiveBayes

Methods

Public methods

• FuzzyBinomialNaiveBayes$new()

• FuzzyBinomialNaiveBayes$clone()

Inherited methods

• FuzzyClassifier$fit()
• FuzzyClassifier$is_fitted()
• FuzzyClassifier$predict()
• FuzzyClassifier$print()
• FuzzyClassifier$set_params()

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FuzzyBinomialNaiveBayes$new()

Create a new (untrained) classifier.

Usage

FuzzyBinomialNaiveBayes$new(fuzzy = TRUE)

Arguments

fuzzy

See FuzzyBinomialNaiveBayes().

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FuzzyBinomialNaiveBayes$clone()

The objects of this class are cloneable with this method.

Usage

FuzzyBinomialNaiveBayes$clone(deep = FALSE)

Arguments

deep

Whether to make a deep clone.

Examples

model <- FuzzyBinomialNaiveBayesModel$new()
x <- round(iris[, -5])
model$fit(train = x, cl = iris$Species)
head(model$predict(x))
head(model$predict(x, type = "prob"))
model

FuzzyClass documentation built on Oct. 22, 2026, 1:07 a.m.