FuzzyGaussianNaiveBayesModel: Fuzzy Gaussian Naive Bayes (Zadeh-based) (R6 class)
In FuzzyClass: Fuzzy and Non-Fuzzy Classifiers
FuzzyGaussianNaiveBayesModel R Documentation
Fuzzy Gaussian Naive Bayes (Zadeh-based) (R6 class)
Description
R6 implementation of the Fuzzy Gaussian Naive Bayes (Zadeh-based) classifier. Create the model with
FuzzyGaussianNaiveBayesModel$new(), train it with $fit(train, cl) and classify new
observations with $predict(newdata). The functional interface
FuzzyGaussianNaiveBayes() trains and returns an object of this class.
Super class
FuzzyClassifier -> FuzzyGaussianNaiveBayes
Methods
Public methods
Inherited methods
FuzzyGaussianNaiveBayes$new()
Create a new (untrained) classifier.
Usage
FuzzyGaussianNaiveBayes$new(fuzzy = TRUE)
Arguments
fuzzySee FuzzyGaussianNaiveBayes().
FuzzyGaussianNaiveBayes$clone()
The objects of this class are cloneable with this method.
Usage
FuzzyGaussianNaiveBayes$clone(deep = FALSE)
Arguments
deepWhether to make a deep clone.
Examples
model <- FuzzyGaussianNaiveBayesModel$new()
model$fit(train = iris[, -5], cl = iris$Species)
head(model$predict(iris[, -5]))
head(model$predict(iris[, -5], type = "prob"))
model
FuzzyClass documentation built on Oct. 22, 2026, 1:07 a.m.
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| FuzzyGaussianNaiveBayesModel | R Documentation |
Fuzzy Gaussian Naive Bayes (Zadeh-based) (R6 class)
Description
R6 implementation of the Fuzzy Gaussian Naive Bayes (Zadeh-based) classifier. Create the model with
FuzzyGaussianNaiveBayesModel$new(), train it with $fit(train, cl) and classify new
observations with $predict(newdata). The functional interface
FuzzyGaussianNaiveBayes() trains and returns an object of this class.
Super class
FuzzyClassifier -> FuzzyGaussianNaiveBayes
Methods
Public methods
Inherited methods
FuzzyGaussianNaiveBayes$new()
Create a new (untrained) classifier.
Usage
FuzzyGaussianNaiveBayes$new(fuzzy = TRUE)
Arguments
fuzzySee
FuzzyGaussianNaiveBayes().
FuzzyGaussianNaiveBayes$clone()
The objects of this class are cloneable with this method.
Usage
FuzzyGaussianNaiveBayes$clone(deep = FALSE)
Arguments
deepWhether to make a deep clone.
Examples
model <- FuzzyGaussianNaiveBayesModel$new()
model$fit(train = iris[, -5], cl = iris$Species)
head(model$predict(iris[, -5]))
head(model$predict(iris[, -5], 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.
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