context("surv.flexible")
test_that("autotest", {
set.seed(200)
learner = lrn("surv.flexible", k = 0, scale = "normal", inits = c(1, 1, 1))
expect_learner(learner)
# there's no reason why sanity in particular is excluded except that because of multiple
# experiments and changing seeds, I've found it isn't possible to remove the "`vnmin` is
# not finite" error
result = run_autotest(learner, exclude = "sanity", check_replicable = FALSE)
expect_true(result, info = result$error)
})
task = tsk("rats")
test_that("manualtest", {
set.seed(15)
learn = lrn("surv.flexible")
learn$train(task)
p = learn$predict(task)
# Comparison to flexsurv
expect_equal(
round(p$lp[1:20], 5),
round(summary(learn$model,
task$data(cols = task$feature_names),
se = F, ci = F, type = "link", tidy = T)[1:20, 2], 5))
expect_equal(
round(p$distr[2]$survival(1:23), 5),
round(summary(learn$model,
task$data(cols = task$feature_names),
se = F, ci = F, type = "survival", tidy = T, t = 1:23)[24:46, 2], 5))
})
test_that("missing", {
learner = lrn("surv.flexible", k = 1)
learner$train(task)
expect_error(learner$predict(tsk("lung")))
})
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