Running ‘testthat.R’ [17s/61s]
Running the tests in ‘tests/testthat.R’ failed.
Complete output:
  > # Copyright 2015-2017 Philipp Thomann
  > #
  > # This file is part of liquidSVM.
  > #
  > # liquidSVM is free software: you can redistribute it and/or modify
  > # it under the terms of the GNU Affero General Public License as
  > # published by the Free Software Foundation, either version 3 of the
  > # License, or (at your option) any later version.
  > #
  > # liquidSVM is distributed in the hope that it will be useful,
  > # but WITHOUT ANY WARRANTY; without even the implied warranty of
  > # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
  > # GNU Affero General Public License for more details.
  > #
  > # You should have received a copy of the GNU Affero General Public License
  > # along with liquidSVM. If not, see <http://www.gnu.org/licenses/>.
  > 
  > library(testthat)
  > library(liquidSVM)
  > 
  > orig <- options(liquidSVM.warn.suboptimal=FALSE, liquidSVM.default.threads=1)
  > 
  > test_check("liquidSVM")
  ── 1. Error: mlr-regr (@test-mlr.R#35)  ────────────────────────────────────────
  regr.liquidSVM: Setting parameter display without available description object!
  Did you mean one of these hyperparameters instead: d scale folds
  You can switch off this check by using configureMlr!
  1: makeLearner("regr.liquidSVM", display = 0) at testthat/test-mlr.R:35
  2: setHyperPars(learner = wl, ..., par.vals = par.vals)
  3: setHyperPars2(learner, insert(par.vals, args))
  4: setHyperPars2.Learner(learner, insert(par.vals, args))
  5: stop(msg)
  
  ── 2. Error: mlr-class (@test-mlr.R#51)  ───────────────────────────────────────
  classif.liquidSVM: Setting parameter display without available description object!
  Did you mean one of these hyperparameters instead: d scale folds
  You can switch off this check by using configureMlr!
  1: makeLearner("classif.liquidSVM", display = 0) at testthat/test-mlr.R:51
  2: setHyperPars(learner = wl, ..., par.vals = par.vals)
  3: setHyperPars2(learner, insert(par.vals, args))
  4: setHyperPars2.Learner(learner, insert(par.vals, args))
  5: stop(msg)
  
  ── 3. Error: mlr-class-prob (@test-mlr.R#66)  ──────────────────────────────────
  classif.liquidSVM: Setting parameter display without available description object!
  Did you mean one of these hyperparameters instead: d scale folds
  You can switch off this check by using configureMlr!
  1: makeLearner("classif.liquidSVM", display = 0, predict.type = "prob") at testthat/test-mlr.R:66
  2: setHyperPars(learner = wl, ..., par.vals = par.vals)
  3: setHyperPars2(learner, insert(par.vals, args))
  4: setHyperPars2.Learner(learner, insert(par.vals, args))
  5: stop(msg)
  
  ══ testthat results  ═══════════════════════════════════════════════════════════
  OK: 130 SKIPPED: 10 WARNINGS: 0 FAILED: 3
  1. Error: mlr-regr (@test-mlr.R#35) 
  2. Error: mlr-class (@test-mlr.R#51) 
  3. Error: mlr-class-prob (@test-mlr.R#66) 
  
  Error: testthat unit tests failed
  Execution halted