ExpNBFuzzyParamModel: Exponential Naive Bayes with Fuzzy Parameters (R6 class)

In FuzzyClass: Fuzzy and Non-Fuzzy Classifiers

Exponential Naive Bayes with Fuzzy Parameters (R6 class)

Description

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

Super class

FuzzyClassifier -> ExpNBFuzzyParam

Methods

Public methods

• ExpNBFuzzyParam$new()

• ExpNBFuzzyParam$clone()

Inherited methods

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

---

ExpNBFuzzyParam$new()

Create a new (untrained) classifier.

Usage

ExpNBFuzzyParam$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 ExpNBFuzzyParam().

metd

See ExpNBFuzzyParam().

alp

See ExpNBFuzzyParam().

w

See ExpNBFuzzyParam().

---

ExpNBFuzzyParam$clone()

The objects of this class are cloneable with this method.

Usage

ExpNBFuzzyParam$clone(deep = FALSE)

Arguments

deep

Whether to make a deep clone.

Examples

model <- ExpNBFuzzyParamModel$new()
model$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.