Nothing
skip_if_not_installed("mlr3")
test_that("MCBoost class instantiation", {
skip_on_cran()
skip_on_os("solaris")
skip_if_not_installed("mlr3")
skip_if_not_installed("mlr3learners")
skip_if_not_installed("mlr3pipelines")
gr = gunion(list(
"data" = po("nop"),
"prediction" = po("learner_cv", lrn("classif.rpart"))
)) %>>%
PipeOpMCBoost$new(param_vals = list(multiplicative = FALSE))
expect_is(gr, "Graph")
tsk = tsk("sonar")
tid = sample(1:208, 108)
train_out = gr$train(tsk$clone()$filter(tid))
expect_is(gr$state$mcboost$mc, "MCBoost")
expect_list(gr$state$mcboost$mc$iter_models, types = "LearnerPredictor")
expect_true(!gr$state$mcboost$mc$multiplicative)
pr = gr$predict(tsk$clone()$filter(setdiff(1:208, tid)))
expect_is(pr[[1]], "Prediction")
})
test_that("pipeop instantiation", {
skip_on_cran()
skip_on_os("solaris")
skip_if_not_installed("mlr3")
skip_if_not_installed("mlr3pipelines")
pop = po("mcboost")
expect_is(pop, "PipeOpMCBoost")
expect_is(pop, "PipeOp")
expect_list(pop$param_set$values, len = 0L)
expect_true(pop$predict_type == "prob")
})
test_that("MCBoost ppl", {
skip_on_cran()
skip_on_os("solaris")
skip_if_not_installed("mlr3")
skip_if_not_installed("mlr3learners")
skip_if_not_installed("mlr3pipelines")
l = lrn("classif.featureless")$train(tsk("sonar"))
pp = ppl_mcboost()
expect_is(pp, "Graph")
pp$param_set$values$mcboost.init_predictor = l
pp$train(tsk("sonar"))
expect_true(!is.null(pp$state))
prd = pp$predict(tsk("sonar"))
expect_is(prd[[1]], "PredictionClassif")
})
test_that("MCBoostSurv ppl", {
skip_on_cran()
skip_on_os("solaris")
skip_if_not_installed("mlr3")
skip_if_not_installed("mlr3learners")
skip_if_not_installed("mlr3pipelines")
skip_on_os("solaris")
gr = ppl_mcboost(lrn("classif.rpart"))
expect_is(gr, "Graph")
})
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