inst/paramtest/test_paramtest_classif.nnet.R

library(mlr3learners.nnet)

test_that("classif.nnet", {
  learner = lrn("classif.nnet")
  fun = nnet::nnet.formula
  exclude = c(
    "formula", # handled via mlr3
    "data", # handled via mlr3
    "weights", # handled via mlr3
    "..." # not used
  )

  ParamTest = run_paramtest(learner, fun, exclude)
  expect_true(ParamTest, info = paste0("\nMissing parameters:\n",
                                       paste0("- '", ParamTest$missing, "'", collapse = "\n")))
})

test_that("predict classif.nnet", {
  learner = lrn("classif.nnet")
  fun = nnet:::predict.nnet
  exclude = c(
    "object", # handled via mlr3
    "newdata", # handled via mlr3
    "type" # handled via mlr3
  )

  ParamTest = run_paramtest(learner, fun, exclude)
  expect_true(ParamTest, info = paste0(
    "Missing parameters:",
    paste0("- '", ParamTest$missing, "'", collapse = "‚")))
})
henrifnk/mlr3learners.nnet documentation built on June 10, 2020, 3:44 a.m.