FuzzyBetaNaiveBayes: Fuzzy Beta Naive Bayes

View source: R/FuzzyBetaNaiveBayes.R

FuzzyBetaNaiveBayesR Documentation

Fuzzy Beta Naive Bayes

Description

FuzzyBetaNaiveBayes Fuzzy Beta Naive Bayes

Usage

FuzzyBetaNaiveBayes(train, cl, cores = 2, fuzzy = TRUE)

Arguments

train

matrix or data frame of training set cases.

cl

factor of true classifications of training set

cores

how many cores of the computer do you want to use to use for prediction (default = 2)

fuzzy

boolean variable to use the membership function

Value

A vector of classifications

References

\insertRef

de2020newFuzzyClass

Examples


set.seed(1) # determining a seed
data(iris)

# Splitting into Training and Testing
split <- caTools::sample.split(t(iris[, 1]), SplitRatio = 0.7)
Train <- subset(iris, split == "TRUE")
Test <- subset(iris, split == "FALSE")
#----------------
# matrix or data frame of test set cases.
# A vector will be interpreted as a row vector for a single case.
test <- Test[, -5]
fit_NBT <- FuzzyBetaNaiveBayes(
  train = Train[, -5],
  cl = Train[, 5], cores = 2
)

pred_NBT <- predict(fit_NBT, test)

head(pred_NBT)
head(Test[, 5])

FuzzyClass documentation built on May 29, 2024, 8:37 a.m.