skip_connection("ml-feature-min-max-scaler")
skip_on_livy()
skip_on_arrow_devel()
skip_databricks_connect()
test_that("ft_min_max_scaler() default params", {
test_requires_version("3.0.0")
sc <- testthat_spark_connection()
test_default_args(sc, ft_min_max_scaler)
})
test_that("ft_min_max_scaler() param setting", {
test_requires_version("3.0.0")
sc <- testthat_spark_connection()
test_args <- list(
input_col = "foo",
output_col = "bar",
min = -1, max = 2
)
test_param_setting(sc, ft_min_max_scaler, test_args)
})
test_that("ft_min_max_scaler() works properly", {
sc <- testthat_spark_connection()
df <- data.frame(
id = 0:2,
V1 = c(1, 2, 3),
V2 = c(0.1, 1.1, 10.1),
V3 = c(-1, 1, 3)
)
expect_warning_on_arrow(
scaled_features <- sdf_copy_to(sc, df, overwrite = TRUE) %>%
ft_vector_assembler(paste0("V", 1:3), "features") %>%
ft_min_max_scaler("features", "scaledFeatures") %>%
pull(scaledFeatures)
)
expect_equal(
scaled_features,
list(
c(0, 0, 0),
c(0.5, 0.1, 0.5),
c(1, 1, 1)
)
)
})
test_clear_cache()
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