tests/testthat/test-step_inverse.R

In orbital: Predict with 'tidymodels' Workflows in Databases

test_that("step_inverse works", {
	skip_if_not_installed("recipes")

	mtcars <- dplyr::as_tibble(mtcars)

	rec <- recipes::recipe(mpg ~ ., data = mtcars) %>%
		recipes::step_inverse(recipes::all_predictors()) %>%
		recipes::prep()

	res <- dplyr::mutate(mtcars, !!!orbital_inline(orbital(rec)))

	exp <- recipes::bake(rec, new_data = mtcars)
	exp <- exp[names(res)]

	expect_equal(res, exp)
})

test_that("step_inverse only calculates what is sufficient", {
	skip_if_not_installed("recipes")

	mtcars <- dplyr::as_tibble(mtcars)

	rec <- recipes::recipe(mpg ~ ., data = mtcars) %>%
		recipes::step_inverse(recipes::all_predictors()) %>%
		recipes::step_rm(disp) %>%
		recipes::prep()

	expect_identical(
		names(orbital(rec)),
		setdiff(names(mtcars), c("mpg", "disp"))
	)
})

test_that("step_inverse works with offset argument", {
	skip_if_not_installed("recipes")

	mtcars <- dplyr::as_tibble(mtcars)

	rec <- recipes::recipe(mpg ~ ., data = mtcars) %>%
		recipes::step_inverse(recipes::all_predictors(), offset = 1) %>%
		recipes::prep()

	res <- dplyr::mutate(mtcars, !!!orbital_inline(orbital(rec)))

	exp <- recipes::bake(rec, new_data = mtcars)
	exp <- exp[names(res)]

	expect_equal(res, exp)
})

test_that("step_inverse works with empty selections", {
	skip_if_not_installed("recipes")

	mtcars <- dplyr::as_tibble(mtcars)

	rec <- recipes::recipe(mpg ~ ., data = mtcars) %>%
		recipes::step_inverse() %>%
		recipes::prep()

	res <- dplyr::mutate(mtcars, !!!orbital_inline(orbital(rec)))

	exp <- recipes::bake(rec, new_data = mtcars)
	exp <- exp[names(res)]

	expect_equal(res, exp)
})

test_that("spark - step_inverse works", {
	skip_if_not_installed("recipes")
	skip_if_not_installed("sparklyr")
	skip_if(is.na(testthat_spark_env_version()))

	mtcars <- dplyr::as_tibble(mtcars)

	rec <- recipes::recipe(mpg ~ ., data = mtcars) %>%
		recipes::step_inverse(recipes::all_predictors(), offset = 0.01) %>%
		recipes::prep()

	res <- dplyr::mutate(mtcars, !!!orbital_inline(orbital(rec)))

	sc <- testthat_spark_connection()
	mtcars_tbl <- testthat_tbl("mtcars")

	res_new <- dplyr::mutate(mtcars_tbl, !!!orbital_inline(orbital(rec))) %>%
		dplyr::collect()

	expect_equal(res_new, res)
})

test_that("SQLite - step_inverse works", {
	skip_if_not_installed("recipes")
	skip_if_not_installed("DBI")
	skip_if_not_installed("RSQLite")
	skip_on_cran()

	mtcars <- dplyr::as_tibble(mtcars)

	rec <- recipes::recipe(mpg ~ ., data = mtcars) %>%
		recipes::step_inverse(recipes::all_predictors(), offset = 0.01) %>%
		recipes::prep()

	res <- dplyr::mutate(mtcars, !!!orbital_inline(orbital(rec)))

	con <- DBI::dbConnect(RSQLite::SQLite(), path = ":memory:")
	mtcars_tbl <- dplyr::copy_to(con, mtcars)

	res_new <- dplyr::mutate(mtcars_tbl, !!!orbital_inline(orbital(rec))) %>%
		dplyr::collect()

	expect_equal(res_new, res)

	DBI::dbDisconnect(con)
})

test_that("duckdb - step_inverse works", {
	skip_if_not_installed("recipes")
	skip_if_not_installed("DBI")
	skip_if_not_installed("duckdb")

	mtcars <- dplyr::as_tibble(mtcars)

	rec <- recipes::recipe(mpg ~ ., data = mtcars) %>%
		recipes::step_inverse(recipes::all_predictors(), offset = 0.01) %>%
		recipes::prep()

	res <- dplyr::mutate(mtcars, !!!orbital_inline(orbital(rec)))

	con <- DBI::dbConnect(duckdb::duckdb(dbdir = ":memory:"))
	mtcars_tbl <- dplyr::copy_to(con, mtcars)

	res_new <- dplyr::mutate(mtcars_tbl, !!!orbital_inline(orbital(rec))) %>%
		dplyr::collect()

	expect_equal(res_new, res)

	DBI::dbDisconnect(con)
})

test_that("arrow - step_inverse works", {
	skip_if_not_installed("recipes")
	skip_if_not_installed("arrow")

	mtcars <- dplyr::as_tibble(mtcars)

	rec <- recipes::recipe(mpg ~ ., data = mtcars) %>%
		recipes::step_inverse(recipes::all_predictors(), offset = 0.01) %>%
		recipes::prep()

	res <- dplyr::mutate(mtcars, !!!orbital_inline(orbital(rec)))

	mtcars_tbl <- arrow::as_arrow_table(mtcars)

	res_new <- dplyr::mutate(mtcars_tbl, !!!orbital_inline(orbital(rec))) %>%
		dplyr::collect()

	expect_equal(res_new, res)
})