GauNBFuzzyParamModel: Gaussian Naive Bayes with Fuzzy Parameters (R6 class)

In FuzzyClass: Fuzzy and Non-Fuzzy Classifiers

Gaussian Naive Bayes with Fuzzy Parameters (R6 class)

Description

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

Super class

FuzzyClassifier -> GauNBFuzzyParam

Methods

Public methods

• GauNBFuzzyParam$new()

• GauNBFuzzyParam$clone()

Inherited methods

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

---

GauNBFuzzyParam$new()

Create a new (untrained) classifier.

Usage

GauNBFuzzyParam$new(
  alphacut = 1e-04,
  metd = 2,
  alp = c(0.35, 0.7, 0.86),
  w = c(0.1, 0.3, 0.6)
)

Arguments

alphacut

See GauNBFuzzyParam().

metd

See GauNBFuzzyParam().

alp

See GauNBFuzzyParam().

w

See GauNBFuzzyParam().

---

GauNBFuzzyParam$clone()

The objects of this class are cloneable with this method.

Usage

GauNBFuzzyParam$clone(deep = FALSE)

Arguments

deep

Whether to make a deep clone.

Examples

model <- GauNBFuzzyParamModel$new()
model$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.