R Under development (unstable) (2024-02-13 r85898 ucrt) -- "Unsuffered Consequences"
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> library(testthat)
> library(FuzzyClass)
> 
> data <- iris
> 
> # Test for ExpNBFuzzyParam
> test_that("Test for ExpNBFuzzyParam", {
+   fit <- ExpNBFuzzyParam(train = iris[,-5], cl = iris[,5])
+   pred <- predict(fit,iris[,-5])
+   expect_equal(TRUE, is.factor(pred))
+ })
Test passed 🎊
> 
> # Test for FuzzyBetaNaiveBayes
> test_that("Test for FuzzyBetaNaiveBayes", {
+   fit <- FuzzyBetaNaiveBayes(train = iris[,-5], cl = iris[,5])
+   pred <- predict(fit,iris[,-5])
+   expect_equal(TRUE, is.factor(pred))
+ })
Test passed 🥳
> 
> # Test for FuzzyBinomialNaiveBayes
> test_that("Test for FuzzyBinomialNaiveBayes", {
+   fit <- FuzzyBinomialNaiveBayes(train = round(iris[,-5]), cl = iris[,5])
+   pred <- predict(fit,round(iris[,-5]))
+   expect_equal(TRUE, is.factor(pred))
+ })
Test passed 🥇
> 
> test_that("Test for FuzzyBinomialNaiveBayes - one column", {
+   fit <- FuzzyBinomialNaiveBayes(train = round(iris[,1]), cl = iris[,5])
+   pred <- predict(fit,round(iris[,1]))
+   expect_equal(TRUE, is.factor(pred))
+ })
Test passed 🥇
> 
> # Test for FuzzyExponentialNaiveBayes
> test_that("Test for FuzzyExponentialNaiveBayes", {
+   fit <- FuzzyExponentialNaiveBayes(train = iris[,-5], cl = iris[,5])
+   pred <- predict(fit,iris[,-5])
+   expect_equal(TRUE, is.factor(pred))
+ })
Test passed 😸
> 
> # Test for FuzzyGammaNaiveBayes
> test_that("Test for FuzzyGammaNaiveBayes", {
+   fit <- FuzzyGammaNaiveBayes(train = iris[,-5], cl = iris[,5])
+   pred <- predict(fit,iris[,-5])
+   expect_equal(TRUE, is.factor(pred))
+ })
Test passed 🥇
> 
> # Test for FuzzyGaussianNaiveBayes
> test_that("Test for FuzzyGaussianNaiveBayes", {
+   fit <- FuzzyGaussianNaiveBayes(train = iris[,-5], cl = iris[,5])
+   pred <- predict(fit,iris[,-5])
+   expect_equal(TRUE, is.factor(pred))
+ })
Test passed 🥳
> 
> # Test for FuzzyNaiveBayes
> test_that("Test for FuzzyNaiveBayes", {
+   fit <- FuzzyNaiveBayes(train = iris[,-5], cl = iris[,5])
+   pred <- predict(fit,iris[,-5])
+   expect_equal(TRUE, is.factor(pred))
+ })
Test passed 😀
> 
> # Test for FuzzyPoissonNaiveBayes
> test_that("Test for FuzzyPoissonNaiveBayes", {
+   fit <- FuzzyPoissonNaiveBayes(train = round(iris[,-5]), cl = iris[,5])
+   pred <- predict(fit,round(iris[,-5]))
+   expect_equal(TRUE, is.factor(pred))
+ })
Test passed 🥇
> 
> test_that("Test for FuzzyPoissonNaiveBayes - one column", {
+   fit <- FuzzyPoissonNaiveBayes(train = round(iris[,1]), cl = iris[,5])
+   pred <- predict(fit,round(iris[,1]))
+   expect_equal(TRUE, is.factor(pred))
+ })
Test passed 🥳
> 
> # Test for FuzzyTrapezoidalNaiveBayes
> test_that("Test for FuzzyTrapezoidalNaiveBayes", {
+   fit <- FuzzyTrapezoidalNaiveBayes(train = iris[,-5], cl = iris[,5])
+   pred <- predict(fit,round(iris[,-5]))
+   expect_equal(TRUE, is.factor(pred))
+ })
── Warning: Test for FuzzyTrapezoidalNaiveBayes ────────────────────────────────
steady-state not reached
Backtrace:
     ▆
  1. ├─FuzzyClass::FuzzyTrapezoidalNaiveBayes(...)
  2. └─FuzzyClass:::FuzzyTrapezoidalNaiveBayes.default(...)
  3.   └─FuzzyClass:::estimation_parameters_trape(M, cols, dados)
  4.     └─base::lapply(...)
  5.       └─FuzzyClass (local) FUN(X[[i]], ...)
  6.         └─base::lapply(...)
  7.           └─FuzzyClass (local) FUN(X[[i]], ...)
  8.             └─FuzzyClass:::getParametersTrapezoidal(SubSet)
  9.               └─rootSolve::multiroot(f = model, start = c(pmedio, pmedio + 0.1))
 10.                 └─rootSolve::steady(...)
 11.                   └─rootSolve::stode(y, times, func, parms = parms, ...)

> 
> # Test for FuzzyTriangularNaiveBayes
> test_that("Test for FuzzyTriangularNaiveBayes", {
+   fit <- FuzzyTriangularNaiveBayes(train = iris[,-5], cl = iris[,5])
+   pred <- predict(fit,round(iris[,-5]))
+   expect_equal(TRUE, is.factor(pred))
+ })
Test passed 😀
> 
> # Test for GauNBFuzzyParam
> test_that("Test for GauNBFuzzyParam", {
+   fit <- GauNBFuzzyParam(train = iris[,-5], cl = iris[,5])
+   pred <- predict(fit,round(iris[,-5]))
+   expect_equal(TRUE, is.factor(pred))
+ })
Test passed 🎉
> 
> 
> proc.time()
   user  system elapsed 
   3.96    0.34    5.78