test_that("selecting the first metric", {
library(yardstick)
met_1 <- metric_set(rmse)
tbl_1 <- tibble::as_tibble(met_1)[1,]
met_2 <- metric_set(rmse, ccc)
tbl_2 <- tibble::as_tibble(met_2)[1,]
expect_equal(first_metric(met_1), tbl_1)
expect_equal(first_metric(met_2), tbl_2)
})
test_that("selecting a metric", {
# much of this is indirectly tested in show/select best
data("example_ames_knn")
expect_snapshot(
choose_metric(ames_grid_search, "rmse")
)
expect_snapshot(
choose_metric(ames_grid_search, NULL)
)
expect_snapshot(
choose_metric(ames_grid_search, "potato"),
error = TRUE
)
expect_snapshot(
choose_metric(ames_grid_search, c("rmse", "ccc"))
)
})
test_that("identify survival metrics", {
library(yardstick)
expect_false(
metric_set(rmse) %>%
tibble::as_tibble() %>%
tune:::contains_survival_metric()
)
expect_true(
metric_set(brier_survival_integrated) %>%
tibble::as_tibble() %>%
tune:::contains_survival_metric()
)
expect_true(
metric_set(brier_survival, concordance_survival) %>%
tibble::as_tibble() %>%
tune:::contains_survival_metric()
)
})
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