revdep/checks.noindex/DALEXtra/new/DALEXtra.Rcheck/tests/testthat/test_funnel_measure.R

In gbm-developers/gbm: Generalized Boosted Regression Models

context("funnel_measure")

library("mlr")
task <- makeRegrTask(
  id = "R",
  data = apartments,
  target = "m2.price"
)
learner_lm <- makeLearner(
  "regr.lm"
)
model_lm <- train(learner_lm, task)
explainer_lm <- explain_mlr(model_lm, apartmentsTest, apartmentsTest$m2.price, label = "LM")

learner_rf <- makeLearner(
  "regr.randomForest"
)
model_rf <- train(learner_rf, task)
explainer_rf <- explain_mlr(model_rf, apartmentsTest, apartmentsTest$m2.price, label = "RF")

learner_gbm <- makeLearner(
  "regr.gbm"
)
model_gbm <- train(learner_gbm, task)
explainer_gbm <- explain_mlr(model_gbm, apartmentsTest, apartmentsTest$m2.price, label = "GBM")


funnel_measure(explainer_lm, list(explainer_rf, explainer_gbm),
               nbins = 5, measure_function = DALEX::loss_root_mean_square)




test_that("funnel_measure parameters", {
  expect_error(funnel_measure(model_lm, list(explainer_rf, explainer_gbm),
                              nbins = 5, measure_function = DALEX::loss_root_mean_square)
  )
})

test_that("funnel_measure parameters", {
  expect_true(is.list(funnel_measure(explainer_lm, list(explainer_rf, explainer_gbm),
                                     nbins = 5, measure_function = DALEX::loss_root_mean_square)
  ))
})

test_that("funnel_measure parameters", {
  expect_identical(class(funnel_measure(explainer_lm, list(explainer_rf, explainer_gbm),
                                        nbins = 5, measure_function = DALEX::loss_root_mean_square)
  ), "funnel_measure")
})

test_that("funnel_plot", {
  plot_data <- funnel_measure(explainer_lm, list(explainer_rf, explainer_gbm),
                              nbins = 5, measure_function = DALEX::loss_root_mean_square)
  expect_is(plot(plot_data), "list")
})