test_that("importance/selected", {
set.seed(1)
task = tsk("iris")
learner = lrn("classif.rfsrc")
learner$train(task)
expect_error(learner$importance(), "Set 'importance'")
expect_error(learner$selected_features(), "Set 'var.used'")
})
test_that("autotest", {
learner = lrn("classif.rfsrc")
learner$param_set$values = list(
importance = "random", na.action = "na.impute",
do.trace = TRUE)
expect_learner(learner)
set.seed(1)
result = run_autotest(learner, exclude = "uf8_feature_names")
expect_true(result, info = result$error)
})
test_that("convert_ratio", {
task = tsk("sonar")
learner = lrn("classif.rfsrc", ntree = 5, mtry.ratio = .5)
expect_equal(learner$train(task)$model$mtry, 30)
learner$param_set$values$mtry.ratio = 0
expect_equal(learner$train(task)$model$mtry, 1)
learner$param_set$values$mtry.ratio = 1
expect_equal(learner$train(task)$model$mtry, 60)
learner$param_set$values$mtry = 10
expect_error(learner$train(task), "exclusive")
learner$param_set$values$mtry.ratio = NULL
expect_equal(learner$train(task)$model$mtry, 10)
})
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