Nothing
test_data <- segment_logistic[1:5,]
good <- test_data$.pred_good
poor <- test_data$.pred_poor
lvls <- levels(test_data$Class)
test_data2 <- species_probs[1:5,]
bobcat <- test_data2$.pred_bobcat
coyote <- test_data2$.pred_coyote
gray_fox <- test_data2$.pred_gray_fox
lvls2 <- levels(test_data2$Species)
test_that("two class succeeds with vector interface", {
res <- make_two_class_pred(good, levels = lvls, threshold = .5, buffer = .4)
fct <- factor(c("poor", "poor", "good", "good", "poor"))
known <- class_pred(fct, which = c(2,3,4))
expect_s3_class(res, "class_pred")
expect_equal(res, known)
})
test_that("multi class succeeds with vector interface", {
res <- make_class_pred(bobcat, coyote, gray_fox, levels = lvls2, min_prob = 0.5)
fct <- factor(c("gray_fox", "gray_fox", "bobcat", "gray_fox", "coyote"))
known <- class_pred(fct, which = 5)
expect_s3_class(res, "class_pred")
expect_equal(res, known)
})
test_that("multi class succeeds with data frame helper", {
res <- append_class_pred(
test_data2,
contains(".pred_"),
levels = lvls2,
min_prob = 0.5,
name = "cp_test"
)
known <- make_class_pred(bobcat, coyote, gray_fox, levels = lvls2, min_prob = 0.5)
expect_s3_class(res, "data.frame")
expect_equal(res[["cp_test"]], known)
})
test_that("ordered passes through to class_pred", {
res <- make_class_pred(bobcat, coyote, gray_fox, levels = lvls2, ordered = TRUE)
res2 <- make_class_pred(bobcat, coyote, gray_fox, levels = lvls2, ordered = TRUE)
expect_true(is_ordered_class_pred(res))
expect_true(is_ordered_class_pred(res2))
})
test_that("fails with different length `...`", {
v1 <- c(1, 2, 3)
v2 <- c(1, 2)
expect_snapshot_error(
make_class_pred(v1, v2)
)
})
test_that("fails with different type `...`", {
v1 <- c(1)
v2 <- c("a")
expect_snapshot_error(
make_class_pred(v1, v2)
)
})
test_that("fails with different length `...` VS levels", {
v1 <- c(1, 2, 3)
v2 <- c(1, 2, 3)
expect_snapshot_error(
make_class_pred(v1, v2, levels = c("one", "two", "three"))
)
})
test_that("validates type of `levels` (#42)", {
expect_snapshot_error(
make_two_class_pred(1, levels = NULL)
)
expect_snapshot_error(
make_class_pred(1, 2, levels = c(0L, 4L))
)
})
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