library(testthat)
test_that('fastNaiveBayes execution', {
skip_if_not_installed("discrim")
skip_if_not_installed("fastNaiveBayes")
library(discrim)
library(fastNaiveBayes)
iris_df <- tibble::as_tibble(iris)
fast_nb <- fastNaiveBayes(x = iris_df[, 1:4], y = iris_df[[5]])
pkg_classes <- predict(fast_nb, newdata = iris_df[, 1:4], type = "class")
pkg_probs <- predict(fast_nb, newdata = iris_df[, 1:4], type = "raw")
nb <- naive_Bayes() %>%
set_engine("fastNaiveBayes")
mod <- nb %>% fit(Species ~., iris_df)
parsnip_classes <- predict(mod, new_data = iris_df)
parsnip_probs <- predict(mod, new_data = iris_df, type = "prob")
parsnip_probs_mat <- as.matrix(parsnip_probs)
colnames(parsnip_probs_mat) <- levels(iris_df$Species)
expect_equal(pkg_classes, parsnip_classes$.pred_class)
expect_equal(pkg_probs, parsnip_probs_mat)
})
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