| FuzzyGeoNaiveBayesModel | R Documentation |
R6 implementation of the Fuzzy Geometric Naive Bayes classifier. Create the model with
FuzzyGeoNaiveBayesModel$new(), train it with $fit(train, cl) and classify new
observations with $predict(newdata). The functional interface
FuzzyGeoNaiveBayes() trains and returns an object of this class.
FuzzyClassifier -> FuzzyGeoNaiveBayes
FuzzyGeoNaiveBayes$new()Create a new (untrained) classifier.
FuzzyGeoNaiveBayes$new(fuzzy = T)
fuzzySee FuzzyGeoNaiveBayes().
FuzzyGeoNaiveBayes$clone()The objects of this class are cloneable with this method.
FuzzyGeoNaiveBayes$clone(deep = FALSE)
deepWhether to make a deep clone.
model <- FuzzyGeoNaiveBayesModel$new()
x <- round(iris[, -5])
model$fit(train = x, cl = iris$Species)
head(model$predict(x))
head(model$predict(x, type = "prob"))
model
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