Nothing
test_that("rda + predict() works", {
skip_on_cran()
skip_if_not_installed("klaR")
suppressPackageStartupMessages(library(klaR))
mtcars$cyl <- as.factor(mtcars$cyl)
fit <- rda(cyl ~ ., data = mtcars)
x <- axe_call(fit)
expect_equal(x$call, rlang::expr(dummy_call()))
x <- axe_env(fit)
expect_identical(attr(x$terms, ".Environment"), rlang::base_env())
x <- butcher(fit)
expect_equal(predict(x, mtcars[1:3, ]),
predict(fit, mtcars[1:3, ]))
})
test_that("NaiveBayes + predict() works", {
skip_on_cran()
skip_if_not_installed("klaR")
suppressPackageStartupMessages(library(klaR))
mtcars$cyl <- as.factor(mtcars$cyl)
fit <- NaiveBayes(cyl ~ ., data = mtcars[,1:6])
x <- axe_call(fit)
expect_equal(x$call, rlang::expr(dummy_call()))
x <- axe_data(fit)
expect_identical(x$x, data.frame())
x <- butcher(fit)
expect_equal(predict(x, mtcars[1:3, 1:6]),
predict(fit, mtcars[1:3, 1:6]))
})
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