Nothing
test_that("autoplot.BenchmarkAggr", {
set.seed(1)
df = data.frame(task_id = factor(rep(c("A", "B"), each = 100)),
learner_id = factor(paste0("L", 1:100)),
RMSE = runif(100, 0, 1:100))
ba = BenchmarkAggr$new(df)
expect_true(is.ggplot(autoplot(ba, type = "mean")))
expect_true(is.ggplot(autoplot(ba, type = "box")))
skip_if_not_installed("PMCMRplus")
expect_true(is.ggplot(autoplot(ba, type = "fn")))
expect_true(is.ggplot(autoplot(ba, type = "cd")))
})
test_that("autoplot.BenchmarkAggr cd", {
skip_if_not_installed("PMCMRplus")
set.seed(1)
df = data.frame(task_id = factor(rep(c("A", "B"), each = 5)),
learner_id = factor(paste0("L", 1:5)),
RMSE = runif(5))
ba = BenchmarkAggr$new(df)
expect_error(is.ggplot(autoplot(ba, type = "fn")))
expect_true(is.ggplot(expect_warning(autoplot(ba, type = "fn", friedman_global = FALSE))))
expect_silent(is.ggplot(autoplot(ba, type = "fn", p.value = 1, test = "bd")))
expect_error(is.ggplot(autoplot(ba, type = "cd")))
expect_true(is.ggplot(expect_warning(autoplot(ba, type = "cd", friedman_global = FALSE))))
expect_silent(is.ggplot(autoplot(ba, type = "cd", p.value = 1, test = "bd")))
expect_silent(is.ggplot(autoplot(ba, type = "cd", p.value = 1, test = "bd", style = 2)))
})
test_that("autoplot with BenchmarkAggr from mlr3::benchmark()", {
skip_if_not_installed("PMCMRplus")
skip_if_not_installed("mlr3")
skip_if_not_installed("ggplot2")
skip_if_not_installed("mlr3learners")
skip_if_not_installed("rpart")
set.seed(1)
library("mlr3")
task = tsks(c("iris", "sonar"))
learns = c(lrns(c("classif.featureless", "classif.rpart")),
lrn("classif.rpart", id = "rpart2")
)
bm = benchmark(benchmark_grid(task, learns, rsmp("cv", folds = 3)))
ba = as_benchmark_aggr(bm)
expect_warning(expect_true(ggplot2::is.ggplot(autoplot(ba,
type = "cd",
friedman_global = FALSE
))))
expect_true(ggplot2::is.ggplot(autoplot(ba, type = "cd", p.value = 0.2)))
})
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