skip_on_cran()

test_that("The ouput is correct", {
  data <- SDMtune:::t
  data@data <- data@data[, 1:4]

  m <- trainBRT(data = data,
                n.trees = 200,
                shrinkage = 0.001)

  pred <- predict(m@model,
                  data@data)

  expect_equal(sum(pred >= 0), nrow(data@data))
  expect_equal(sum(pred <= 1), nrow(data@data))
})