Nothing
test_that("train fails gracefully", {
task = tsk("iris")
learner = lrn("classif.debug", error_train = 1)
expect_error(learner$train(task), "classif.debug")
})
test_that("predict fails gracefully", {
task = tsk("iris")
learner = lrn("classif.debug", error_predict = 1)
learner$train(task)
expect_error(learner$predict(task), "classif.debug")
})
test_that("fail during train", {
task = tsk("iris")
learner = lrn("classif.debug", error_train = 1)
learner$encapsulate("evaluate", lrn("classif.featureless"))
expect_class(learner$fallback, "LearnerClassifFeatureless")
learner$train(task)
expect_s3_class(learner$state$fallback_state$model, "classif.featureless_model")
expect_null(learner$state$model)
expect_number(learner$state$train_time, lower = 0)
expect_prediction(learner$predict(task))
})
test_that("fail during predict", {
task = tsk("iris")
learner = lrn("classif.debug", error_predict = 1)
learner$encapsulate("evaluate", lrn("classif.featureless"))
expect_class(learner$fallback, "LearnerClassifFeatureless")
learner$train(task)
expect_s3_class(learner$state$fallback_state$model, "classif.featureless_model")
expect_s3_class(learner$state$model, "classif.debug_model")
expect_number(learner$state$train_time, lower = 0)
expect_prediction(learner$predict(task))
})
test_that("fail during resample", {
task = tsk("iris")
learner = lrn("classif.debug", error_predict = 1)
learner$encapsulate("evaluate", lrn("classif.featureless"))
expect_class(learner$fallback, "LearnerClassifFeatureless")
rr = resample(tsk("iris"), learner, rsmp("cv", folds = 3))
expect_data_table(rr$errors, nrows = 3)
expect_number(rr$aggregate(msr("classif.ce")))
})
test_that("incomplete predictions", {
task = tsk("iris")
learner = lrn("classif.debug", predict_type = "prob", predict_missing = 0.5)
learner$encapsulate("evaluate", lrn("classif.featureless", predict_type = "prob"))
expect_class(learner$fallback, "LearnerClassifFeatureless")
learner$train(task)
p = learner$predict(task)
expect_prediction(p)
expect_factor(p$response, any.missing = FALSE)
expect_matrix(p$prob, any.missing = FALSE)
rr = resample(tsk("iris"), learner, rsmp("cv", folds = 3))
expect_prediction(rr$prediction())
expect_factor(rr$prediction()$response, any.missing = FALSE)
expect_matrix(rr$prediction()$prob, any.missing = FALSE)
})
test_that("fallback properties are checked", {
learner = lrn("classif.featureless")
fallback = lrn("classif.debug")
expect_warning(learner$encapsulate("evaluate", fallback), "The fallback learner")
})
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