library(testthat)
library(recipes)
skip_if_not_installed("modeldata")
data(biomass, package = "modeldata")
biomass_tr <- biomass[biomass$dataset == "Training", ]
biomass_te <- biomass[biomass$dataset == "Testing", ]
rec <- recipe(HHV ~ carbon + hydrogen + oxygen + nitrogen + sulfur,
data = biomass_tr
)
test_that("correct basis functions", {
with_poly <- rec %>%
step_poly(carbon, hydrogen, id = "")
exp_tidy_un <- tibble(
terms = c("carbon", "hydrogen"),
degree = rep(2L, 2),
id = ""
)
expect_equal(exp_tidy_un, tidy(with_poly, number = 1))
with_poly <- prep(with_poly, training = biomass_tr, verbose = FALSE)
expect_equal(exp_tidy_un, tidy(with_poly, number = 1))
with_poly_pred_tr <- bake(with_poly, new_data = biomass_tr)
with_poly_pred_te <- bake(with_poly, new_data = biomass_te)
carbon_poly_tr_exp <- poly(biomass_tr$carbon, degree = 2)
hydrogen_poly_tr_exp <- poly(biomass_tr$hydrogen, degree = 2)
carbon_poly_te_exp <- predict(carbon_poly_tr_exp, biomass_te$carbon)
hydrogen_poly_te_exp <- predict(hydrogen_poly_tr_exp, biomass_te$hydrogen)
carbon_poly_tr_res <- as.matrix(with_poly_pred_tr[, grep("carbon", names(with_poly_pred_tr))])
colnames(carbon_poly_tr_res) <- NULL
hydrogen_poly_tr_res <- as.matrix(with_poly_pred_tr[, grep("hydrogen", names(with_poly_pred_tr))])
colnames(hydrogen_poly_tr_res) <- NULL
carbon_poly_te_res <- as.matrix(with_poly_pred_te[, grep("carbon", names(with_poly_pred_te))])
colnames(carbon_poly_te_res) <- 1:ncol(carbon_poly_te_res)
hydrogen_poly_te_res <- as.matrix(with_poly_pred_te[, grep("hydrogen", names(with_poly_pred_te))])
colnames(hydrogen_poly_te_res) <- 1:ncol(hydrogen_poly_te_res)
## remove attributes
carbon_poly_tr_exp <- matrix(carbon_poly_tr_exp, ncol = 2)
carbon_poly_te_exp <- matrix(carbon_poly_te_exp, ncol = 2)
hydrogen_poly_tr_exp <- matrix(hydrogen_poly_tr_exp, ncol = 2)
hydrogen_poly_te_exp <- matrix(hydrogen_poly_te_exp, ncol = 2)
dimnames(carbon_poly_tr_res) <- NULL
dimnames(carbon_poly_te_res) <- NULL
dimnames(hydrogen_poly_tr_res) <- NULL
dimnames(hydrogen_poly_te_res) <- NULL
expect_equal(carbon_poly_tr_res, carbon_poly_tr_exp)
expect_equal(carbon_poly_te_res, carbon_poly_te_exp)
expect_equal(hydrogen_poly_tr_res, hydrogen_poly_tr_exp)
expect_equal(hydrogen_poly_te_res, hydrogen_poly_te_exp)
})
test_that("printing", {
with_poly <- rec %>%
step_poly(carbon, hydrogen)
expect_snapshot(print(with_poly))
expect_snapshot(prep(with_poly))
})
test_that("tunable", {
rec <-
recipe(~., data = iris) %>%
step_poly(all_predictors())
rec_param <- tunable.step_poly(rec$steps[[1]])
expect_equal(rec_param$name, c("degree"))
expect_true(all(rec_param$source == "recipe"))
expect_true(is.list(rec_param$call_info))
expect_equal(nrow(rec_param), 1)
expect_equal(
names(rec_param),
c("name", "call_info", "source", "component", "component_id")
)
})
test_that("old option argument", {
expect_message(
res <-
recipe(~., data = iris) %>%
step_poly(Sepal.Width, options = list(degree = 3)) %>%
prep() %>%
bake(new_data = NULL),
"The `degree` argument is now a main argument"
)
exp_names <- c(
"Sepal.Length", "Petal.Length", "Petal.Width", "Species",
"Sepal.Width_poly_1", "Sepal.Width_poly_2", "Sepal.Width_poly_3"
)
expect_equal(
names(res),
exp_names
)
})
test_that("empty selection prep/bake is a no-op", {
rec1 <- recipe(mpg ~ ., mtcars)
rec2 <- step_poly(rec1)
rec1 <- prep(rec1, mtcars)
rec2 <- prep(rec2, mtcars)
baked1 <- bake(rec1, mtcars)
baked2 <- bake(rec2, mtcars)
expect_identical(baked1, baked2)
})
test_that("empty selection tidy method works", {
rec <- recipe(mpg ~ ., mtcars)
rec <- step_poly(rec)
expect <- tibble(terms = character(), degree = integer(), id = character())
expect_identical(tidy(rec, number = 1), expect)
rec <- prep(rec, mtcars)
expect_identical(tidy(rec, number = 1), expect)
})
test_that("empty printing", {
skip_if(packageVersion("rlang") < "1.0.0")
rec <- recipe(mpg ~ ., mtcars)
rec <- step_poly(rec)
expect_snapshot(rec)
rec <- prep(rec, mtcars)
expect_snapshot(rec)
})
test_that("bake method errors when needed non-standard role columns are missing", {
with_poly <- rec %>%
step_poly(carbon, hydrogen, id = "") %>%
update_role(carbon, hydrogen, new_role = "potato") %>%
update_role_requirements(role = "potato", bake = FALSE)
exp_tidy_un <- tibble(
terms = c("carbon", "hydrogen"),
degree = rep(2L, 2),
id = ""
)
with_poly <- prep(with_poly, training = biomass_tr, verbose = FALSE)
expect_error(bake(with_poly, new_data = biomass_tr[, c(-3)]),
class = "new_data_missing_column")
})
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