Nothing
test_that("tune_args() errors on multiple tune()s in same arg", {
expect_snapshot(
error = TRUE,
recipe(~., data = mtcars) |>
step_pca(all_predictors(), num_comp = ~ tune() + tune()) |>
tune_args()
)
})
test_that("tune_tbl() errors on duplicate ids", {
expect_snapshot(
error = TRUE,
tune_tbl(
name = c("a", "b"),
tunable = c(TRUE, TRUE),
id = c("a", "a"),
source = c("a", "b"),
component = c("a", "b"),
component_id = c("a", "b"),
full = TRUE
)
)
})
test_that("tune_args() returns all arguments marked for tuning (#1296)", {
rec <- recipe(~., data = mtcars) |>
step_impute_bag(
all_predictors(),
# tunable
trees = hardhat::tune(),
# not known tunable
options = hardhat::tune(),
id = ""
)
exp <- tibble::tibble(
name = c("trees", "options"),
tunable = c(TRUE, FALSE),
id = c("trees", "options"),
source = "recipe",
component = "step_impute_bag",
component_id = "",
)
expect_identical(
tune_args(rec),
exp
)
})
test_that("tune_args() doesn't error on namespaced selectors", {
exp <- tibble::tibble(
name = character(0),
tunable = logical(0),
id = character(0),
source = character(0),
component = character(0),
component_id = character(0),
)
expect_identical(
recipe(~., data = mtcars) |>
step_pca(dplyr::contains("a")) |>
tune_args(),
exp
)
})
test_that("tune_args() wont detect tune() calls in parsnip objects (#1506)", {
skip_if_not_installed("parsnip")
skip_if_not_installed("rpart")
base_model <- parsnip::decision_tree(cost_complexity = hardhat::tune())
rec_empty <- recipe(mpg ~ ., data = mtcars) |>
step_testthat_helper(output = base_model)
rec_mod <- recipe(mpg ~ ., data = mtcars) |>
step_testthat_helper()
expect_identical(
extract_parameter_set_dials(rec_empty),
extract_parameter_set_dials(rec_mod)
)
})
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