fuzzy_verbose: Verbosity of the FuzzyClass classifiers
In FuzzyClass: Fuzzy and Non-Fuzzy Classifiers
View source: R/FuzzyClassifier.R
fuzzy_verbose R Documentation
Verbosity of the FuzzyClass classifiers
Description
By default, training a classifier prints a short progress message. Set
options(FuzzyClass.verbose = FALSE) to silence it globally (useful, for
example, when tuning many models with tidymodels), or use the argument
verbose of $fit() and of the functional interfaces.
Usage
fuzzy_verbose()
Value
The value of the option FuzzyClass.verbose (default TRUE).
Examples
fuzzy_verbose()
old <- options(FuzzyClass.verbose = FALSE)
fit <- FuzzyGaussianNaiveBayes(iris[, -5], iris$Species) # silent
options(old)
FuzzyClass documentation built on Oct. 22, 2026, 1:07 a.m.
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View source: R/FuzzyClassifier.R
| fuzzy_verbose | R Documentation |
Verbosity of the FuzzyClass classifiers
Description
By default, training a classifier prints a short progress message. Set
options(FuzzyClass.verbose = FALSE) to silence it globally (useful, for
example, when tuning many models with tidymodels), or use the argument
verbose of $fit() and of the functional interfaces.
Usage
fuzzy_verbose()
Value
The value of the option FuzzyClass.verbose (default TRUE).
Examples
fuzzy_verbose()
old <- options(FuzzyClass.verbose = FALSE)
fit <- FuzzyGaussianNaiveBayes(iris[, -5], iris$Species) # silent
options(old)
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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