FuzzyBetaNaiveBayesModel: Fuzzy Beta Naive Bayes (R6 class)
In FuzzyClass: Fuzzy and Non-Fuzzy Classifiers
FuzzyBetaNaiveBayesModel R Documentation
Fuzzy Beta Naive Bayes (R6 class)
Description
R6 implementation of the Fuzzy Beta Naive Bayes classifier. Create the model with
FuzzyBetaNaiveBayesModel$new(), train it with $fit(train, cl) and classify new
observations with $predict(newdata). The functional interface
FuzzyBetaNaiveBayes() trains and returns an object of this class.
Super class
FuzzyClassifier -> FuzzyBetaNaiveBayes
Methods
Public methods
Inherited methods
FuzzyBetaNaiveBayes$new()
Create a new (untrained) classifier.
Usage
FuzzyBetaNaiveBayes$new(fuzzy = TRUE)
Arguments
fuzzySee FuzzyBetaNaiveBayes().
FuzzyBetaNaiveBayes$clone()
The objects of this class are cloneable with this method.
Usage
FuzzyBetaNaiveBayes$clone(deep = FALSE)
Arguments
deepWhether to make a deep clone.
Examples
model <- FuzzyBetaNaiveBayesModel$new()
model$fit(train = iris[, -5] / 10, cl = iris$Species)
head(model$predict(iris[, -5] / 10))
head(model$predict(iris[, -5] / 10, type = "prob"))
model
FuzzyClass documentation built on Oct. 22, 2026, 1:07 a.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
| FuzzyBetaNaiveBayesModel | R Documentation |
Fuzzy Beta Naive Bayes (R6 class)
Description
R6 implementation of the Fuzzy Beta Naive Bayes classifier. Create the model with
FuzzyBetaNaiveBayesModel$new(), train it with $fit(train, cl) and classify new
observations with $predict(newdata). The functional interface
FuzzyBetaNaiveBayes() trains and returns an object of this class.
Super class
FuzzyClassifier -> FuzzyBetaNaiveBayes
Methods
Public methods
Inherited methods
FuzzyBetaNaiveBayes$new()
Create a new (untrained) classifier.
Usage
FuzzyBetaNaiveBayes$new(fuzzy = TRUE)
Arguments
fuzzySee
FuzzyBetaNaiveBayes().
FuzzyBetaNaiveBayes$clone()
The objects of this class are cloneable with this method.
Usage
FuzzyBetaNaiveBayes$clone(deep = FALSE)
Arguments
deepWhether to make a deep clone.
Examples
model <- FuzzyBetaNaiveBayesModel$new()
model$fit(train = iris[, -5] / 10, cl = iris$Species)
head(model$predict(iris[, -5] / 10))
head(model$predict(iris[, -5] / 10, type = "prob"))
model
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.