Nothing
test_that("quantile_pred error types", {
expect_snapshot(
error = TRUE,
quantile_pred(1:10, 1:4 / 5)
)
expect_snapshot(
error = TRUE,
quantile_pred(matrix(1:20, 5), -1:4 / 5)
)
expect_snapshot(
error = TRUE,
quantile_pred(matrix(1:20, 5), 1:5 / 6)
)
expect_snapshot(
error = TRUE,
quantile_pred(matrix(1:20, 5), 4:1 / 5)
)
})
test_that("quantile levels are checked", {
expect_snapshot(error = TRUE, {
quantile_pred(matrix(1:20, 5), quantile_levels = NULL)
})
expect_snapshot(error = TRUE, {
quantile_pred(matrix(1:20, 5), quantile_levels = c(0.7, 0.7, 0.7))
})
expect_snapshot(error = TRUE, {
quantile_pred(matrix(1:20, 5), quantile_levels = c(rep(0.7, 2), rep(0.8, 3)))
})
expect_snapshot(error = TRUE, {
quantile_pred(matrix(1:20, 5), quantile_levels = c(0.8, 0.7))
})
})
test_that("quantile_pred outputs", {
v <- quantile_pred(matrix(1:20, 5), 1:4 / 5)
expect_s3_class(v, "quantile_pred")
expect_identical(attr(v, "quantile_levels"), 1:4 / 5)
expect_identical(
vctrs::vec_data(v),
lapply(vctrs::vec_chop(matrix(1:20, 5)), drop)
)
})
test_that("extract_quantile_levels", {
v <- quantile_pred(matrix(1:20, 5), 1:4 / 5)
expect_identical(extract_quantile_levels(v), 1:4 / 5)
expect_snapshot(
error = TRUE,
extract_quantile_levels(1:10)
)
})
test_that("quantile_pred formatting", {
# multiple quantiles
v <- quantile_pred(matrix(1:20, 5), 1:4 / 5)
expect_snapshot(v)
expect_snapshot(quantile_pred(matrix(1:18, 9), c(1/3, 2/3)))
expect_snapshot(
quantile_pred(matrix(seq(0.01, 1 - 0.01, length.out = 6), 3), c(.2, .8))
)
expect_snapshot(tibble(qntls = v))
m <- matrix(1:20, 5)
m[2, 3] <- NA
m[4, 2] <- NA
expect_snapshot(quantile_pred(m, 1:4 / 5))
# single quantile
m <- matrix(1:5)
one_quantile <- quantile_pred(m, 5/9)
expect_snapshot(one_quantile)
expect_snapshot(tibble(qntls = one_quantile))
m[2] <- NA
expect_snapshot(quantile_pred(m, 5/9))
set.seed(393)
v <- quantile_pred(matrix(exp(rnorm(20)), ncol = 4), 1:4 / 5)
expect_snapshot(format(v))
expect_snapshot(format(v, digits = 5))
})
test_that("as_tibble() for quantile_pred", {
v <- quantile_pred(matrix(1:20, 5), 1:4 / 5)
tbl <- as_tibble(v)
expect_s3_class(tbl, c("tbl_df", "tbl", "data.frame"))
expect_named(tbl, c(".pred_quantile", ".quantile_levels", ".row"))
expect_true(nrow(tbl) == 20)
})
test_that("as.matrix() for quantile_pred", {
x <- matrix(1:20, 5)
v <- quantile_pred(x, 1:4 / 5)
m <- as.matrix(v)
expect_true(is.matrix(m))
expect_identical(m, x)
})
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