test_that("predict() errors for cluster spec", {
spec <- tidyclust::k_means(num_clusters = 4)
expect_snapshot(
error = TRUE,
predict(spec)
)
})
test_that("predict() errors for hier_clust() with missing args", {
hclust_spec <- hier_clust()
hclust_fit <- fit(hclust_spec, ~., mtcars)
expect_snapshot(
error = TRUE,
hclust_fit %>%
predict(mtcars)
)
})
test_that("predict() errors for hier_clust() with k arg", {
hclust_spec <- hier_clust()
hclust_fit <- fit(hclust_spec, ~., mtcars)
expect_snapshot(
error = TRUE,
hclust_fit %>%
predict(mtcars, k = 3)
)
})
test_that("predict() errors for hier_clust() with h arg", {
hclust_spec <- hier_clust()
hclust_fit <- fit(hclust_spec, ~., mtcars)
expect_snapshot(
error = TRUE,
hclust_fit %>%
predict(mtcars, h = 3)
)
})
test_that("passed arguments overwrites model arguments", {
hclust_spec <- hier_clust(num_clusters = 4)
hclust_fit <- fit(hclust_spec, ~., mtcars)
res <- hclust_fit %>%
predict(mtcars, num_clusters = 1)
expect_identical(length(levels(res$.pred_cluster)), 1L)
})
test_that("prefix is passed in predict()", {
spec <- tidyclust::k_means(num_clusters = 4) %>%
fit(~., data = mtcars)
res <- predict(spec, mtcars, prefix = "C_")
expect_true(
all(substr(res$.pred_cluster, 1, 2) == "C_")
)
})
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