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test_that("Learner", {
wl = makeLearner("classif.rpart", minsplit = 3)
expect_equal(wl$type, "classif")
expect_equal(wl$id, "classif.rpart")
expect_true(is.character(wl$properties))
expect_true(length(wl$properties) >= 6)
wl = makeLearner("regr.lm")
expect_equal(wl$type, "regr")
expect_equal(wl$id, "regr.lm")
expect_true(is.character(wl$properties))
expect_error(makeLearner("classif.lvq1", predict.type = "prob"), "Trying to predict probs, but")
expect_error(makeLearner("regr.lm", predict.type = "prob"), "'predict.type'")
wl = makeLearner("classif.lvq1")
expect_error(setPredictType(wl, "prob"), "Trying to predict probs, but")
wl = makeLearner("regr.lm", config = list(on.learner.error = "quiet"))
expect_equal(wl$config$on.learner.error, "quiet")
expect_error(makeLearner("classif.lda", predict.threshold = 1, "'prob' must hold"))
})
test_that("Learner operators work", {
lrn = makeLearner("classif.lda", nu = 3)
expect_equal(getLearnerType(lrn), "classif")
expect_equal(getLearnerId(lrn), "classif.lda")
expect_equal(getLearnerPredictType(lrn), "response")
expect_equal(getLearnerPackages(lrn), "MASS")
# getLearnerParVals is simply a synonym for getHyperPars and that has its own test file
expect_equal(getLearnerParVals(lrn), list(nu = 3))
# getLearnerParamSet is simply a synonym for getParamSet, which is also tested elsewhere
expect_equal(getLearnerParamSet(lrn), getParamSet(lrn))
lrn2 = setLearnerId(lrn, "foo")
expect_equal(getLearnerId(lrn2), "foo")
# test that packages get combines
lrn2 = makeFilterWrapper(lrn, fw.method = "randomForest_importance")
expect_set_equal(getLearnerPackages(lrn2), c("MASS", "randomForest"))
# test getLearnerShortName
expect_equal(getLearnerShortName(lrn), lrn$short.name)
wrapped.lrn = makeBaggingWrapper(lrn)
wrapped.lrn.short.name = paste(c(lrn$short.name, "bagged"), collapse = ".")
expect_equal(getLearnerShortName(wrapped.lrn), wrapped.lrn.short.name)
wrapped.lrn = makeImputeWrapper(wrapped.lrn)
wrapped.lrn.short.name = paste(c(wrapped.lrn.short.name, "imputed"), collapse = ".")
expect_equal(getLearnerShortName(wrapped.lrn), wrapped.lrn.short.name)
})
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