skip_connection("feature-one-hot-encoder-estimator")
skip_on_livy()
skip_on_arrow_devel()
skip_databricks_connect()
test_that("ft_one_hot_encoder_estimator() default params", {
test_requires_version(min_version = "2.3.0", max_version = "3.0.0")
sc <- testthat_spark_connection()
test_default_args(sc, ft_one_hot_encoder_estimator)
})
test_that("ft_one_hot_encoder_estimator() param setting", {
test_requires_version(min_version = "2.3.0", max_version = "3.0.0")
sc <- testthat_spark_connection()
test_args <- list(
input_cols = c("foo", "foo1"),
output_cols = c("bar", "bar1"),
drop_last = FALSE
)
test_param_setting(sc, ft_one_hot_encoder_estimator, test_args)
})
test_that("ft_one_hot_encoder_estimator() works", {
test_requires_version(min_version = "2.3.0", max_version = "3.0.0")
sc <- testthat_spark_connection()
iris_tbl <- testthat_tbl("iris")
expect_equal(
iris_tbl %>%
ft_string_indexer("Species", "indexed") %>%
ft_one_hot_encoder_estimator("indexed", "encoded") %>%
pull(encoded) %>% unique(),
list(c(0, 0), c(1, 0), c(0, 1))
)
})
test_clear_cache()
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