tests/testthat/test-sft.R

In forestControl: Approximate False Positive Rate Control in Selection Frequency for Random Forest

context("sft")

test_that("sft",{
library(parsnip)

  rf_no_forest <- randomForest::randomForest(iris[,-5], factor(iris$Species), ntree = 100, keep.forest = FALSE)
  set.seed(1234)
  rf_w_forest <- randomForest::randomForest(iris[,-5], factor(iris$Species), ntree = 100, keep.forest = TRUE)

  ranger_no_forest <- ranger::ranger(factor(iris$Species) ~., iris[,-5], write.forest = FALSE,num.trees = 100)
  set.seed(1234)
  ranger_w_forest <- ranger::ranger(factor(iris$Species) ~., iris[,-5], write.forest = TRUE, num.trees = 100)

  model_parsnip_ranger <-
    rand_forest(mode = 'classification') %>% set_engine("ranger", importance = 'impurity') %>%
    fit(Species ~ ., iris)

  model_parsnip_rf <-
    rand_forest(mode = 'classification') %>% set_engine("randomForest") %>%
    fit(Species ~ ., iris)

  expect_true(is.list(sft(rf_w_forest, 0.1)))
  expect_true(is.list(sft(ranger_w_forest, 0.1)))

  expect_true(is.list(sft(model_parsnip_ranger, 0.1)))
  expect_true(is.list(sft(model_parsnip_rf, 0.1)))

  expect_error(is.list(rf_no_forest,0.1))
  expect_error(is.list(ranger_no_forest,0.1))


})