Nothing
context("overall_comaprison")
library("mlr")
task <- mlr::makeRegrTask(
id = "R",
data = apartments,
target = "m2.price"
)
learner_lm <- mlr::makeLearner(
"regr.lm"
)
model_lm <- mlr::train(learner_lm, task)
explainer_lm <- explain_mlr(model_lm, apartmentsTest, apartmentsTest$m2.price, label = "LM", verbose = FALSE)
learner_rf <- mlr::makeLearner(
"regr.ranger"
)
model_rf <- mlr::train(learner_rf, task)
explainer_rf <- explain_mlr(model_rf, apartmentsTest, apartmentsTest$m2.price, label = "RF", verbose = FALSE)
learner_gbm <- mlr::makeLearner(
"regr.gbm"
)
model_gbm <- mlr::train(learner_gbm, task)
explainer_gbm <- explain_mlr(model_gbm, apartmentsTest, apartmentsTest$m2.price, label = "gbm", verbose = FALSE)
test_that("test overall regression", {
expect_error(overall_comparison(model_lm, list(explainer_rf, explainer_gbm), type = "regression"))
expect_true(is.list(overall_comparison(explainer_lm, list(explainer_rf, explainer_gbm), type = "regression")))
expect_identical(class(overall_comparison(explainer_lm, list(explainer_rf, explainer_gbm), type = "regression")), "overall_comparison")
plot_data <- overall_comparison(explainer_lm, list(explainer_rf, explainer_gbm), type = "regression")
expect_is(plot(plot_data), "list")
})
test_that("test overall classif", {
expect_true(is.list(overall_comparison(explainer_rf_classif, explainer_rpart_classif, type = "classification")))
expect_identical(class(overall_comparison(explainer_rf_classif, explainer_rpart_classif, type = "classification")), "overall_comparison")
plot_data <- overall_comparison(explainer_rf_classif, explainer_rpart_classif, type = "classification")
expect_is(plot(plot_data), "list")
})
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