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test_that("default param", {
set.seed(11)
rs1 <- nested_cv(mtcars[1:30, ],
outside = vfold_cv(v = 10),
inside = vfold_cv(v = 3)
)
sizes1 <- dim_rset(rs1)
expect_true(all(sizes1$analysis == 27))
expect_true(all(sizes1$assessment == 3))
subsizes1 <- purrr::map(rs1$inner_resamples, dim_rset)
subsizes1 <- do.call("rbind", subsizes1)
expect_true(all(subsizes1$analysis == 18))
expect_true(all(subsizes1$assessment == 9))
set.seed(11)
rs2 <- nested_cv(mtcars[1:30, ],
outside = vfold_cv(v = 10),
inside = bootstraps(times = 3)
)
sizes2 <- dim_rset(rs2)
expect_true(all(sizes2$analysis == 27))
expect_true(all(sizes2$assessment == 3))
subsizes2 <- purrr::map(rs2$inner_resamples, dim_rset)
subsizes2 <- do.call("rbind", subsizes2)
expect_true(all(subsizes2$analysis == 27))
set.seed(11)
rs3 <- nested_cv(mtcars[1:30, ],
outside = vfold_cv(v = 10),
inside = mc_cv(prop = 2 / 3, times = 3)
)
sizes3 <- dim_rset(rs3)
expect_true(all(sizes3$analysis == 27))
expect_true(all(sizes3$assessment == 3))
subsizes3 <- purrr::map(rs3$inner_resamples, dim_rset)
subsizes3 <- do.call("rbind", subsizes3)
expect_true(all(subsizes3$analysis == 18))
expect_true(all(subsizes3$assessment == 9))
})
test_that("bad args", {
expect_snapshot({
skip_if(new_rng_snapshots)
set.seed(123)
nested_cv(mtcars,
outside = bootstraps(times = 5),
inside = vfold_cv(V = 3)
)
})
folds <- vfold_cv(mtcars)
expect_snapshot(
nested_cv(mtcars,
outside = vfold_cv(),
inside = folds
),
error = TRUE
)
})
test_that("can pass in variables", {
make_folds <- function(df) {
outer_cv <- 5
inner_cv <- 4
nested_cv(df,
outside = vfold_cv(v = outer_cv),
inside = vfold_cv(v = inner_cv)
)
}
rs1 <- make_folds(mtcars[1:30, ])
sizes1 <- dim_rset(rs1)
expect_true(all(sizes1$analysis == 24))
expect_true(all(sizes1$assessment == 6))
})
test_that("printing", {
rs1 <- nested_cv(mtcars[1:30, ],
outside = vfold_cv(v = 10),
inside = vfold_cv(v = 3)
)
expect_snapshot(rs1)
})
test_that("rsplit labels", {
rs <- nested_cv(mtcars[1:30, ],
outside = vfold_cv(v = 10),
inside = vfold_cv(v = 3)
)
all_labs <- purrr::map_df(rs$splits, labels)
original_id <- rs[, grepl("^id", names(rs))]
expect_equal(all_labs, original_id)
})
# ------------------------------------------------------------------------------
# `[`
skip_if_not(rlang::is_installed("withr"))
test_that("can keep the rset class", {
x <- rset_subclasses$nested_cv
loc <- seq_len(ncol(x))
expect_s3_class_rset(x[loc])
})
test_that("drops the rset class if missing `inner_resamples`", {
x <- rset_subclasses$nested_cv
names <- names(x)
names <- names[names != "inner_resamples"]
expect_s3_class_bare_tibble(x[names])
})
test_that("drops the rset class if duplicating `inner_resamples`", {
x <- rset_subclasses$nested_cv
names <- names(x)
names <- c(names, "inner_resamples")
expect_s3_class_bare_tibble(x[names])
})
# ------------------------------------------------------------------------------
# `names<-`
test_that("can keep the rset subclass when renaming doesn't touch rset columns", {
x <- rset_subclasses$nested_cv
x <- mutate(x, a = 1)
names <- names(x)
names[names == "a"] <- "b"
names(x) <- names
expect_s3_class_rset(x)
})
test_that("drops the rset class if `inner_resamples` is renamed", {
x <- rset_subclasses$nested_cv
names <- names(x)
names[names == "inner_resamples"] <- "inner_things"
names(x) <- names
expect_s3_class_bare_tibble(x)
})
test_that("drops the rset class if `inner_resamples` is moved", {
x <- rset_subclasses$nested_cv
x <- mutate(x, a = 1)
names <- names(x)
new_names <- names
new_names[names == "inner_resamples"] <- "a"
new_names[names == "a"] <- "inner_resamples"
names(x) <- new_names
expect_s3_class_bare_tibble(x)
})
|
