FuzzyPoissonNaiveBayesModel: Fuzzy Poisson Naive Bayes (R6 class)

In FuzzyClass: Fuzzy and Non-Fuzzy Classifiers

Fuzzy Poisson Naive Bayes (R6 class)

Description

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

Super class

FuzzyClassifier -> FuzzyPoissonNaiveBayes

Methods

Public methods

• FuzzyPoissonNaiveBayes$new()

• FuzzyPoissonNaiveBayes$clone()

Inherited methods

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

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FuzzyPoissonNaiveBayes$new()

Create a new (untrained) classifier.

Usage

FuzzyPoissonNaiveBayes$new(fuzzy = TRUE)

Arguments

fuzzy

See FuzzyPoissonNaiveBayes().

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FuzzyPoissonNaiveBayes$clone()

The objects of this class are cloneable with this method.

Usage

FuzzyPoissonNaiveBayes$clone(deep = FALSE)

Arguments

deep

Whether to make a deep clone.

Examples

model <- FuzzyPoissonNaiveBayesModel$new()
x <- round(iris[, -5])
model$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.