def test_do_dummy_prediction(self): for name in ['401_bac', '31_bac', 'adult', 'cadata']: output = os.path.join(self.test_dir, '..', '.tmp_test_do_dummy_prediction') self._setUp(output) dataset = os.path.join(self.test_dir, '..', '.data', name) auto = autosklearn.automl.AutoML( output, output, 15, 15, initial_configurations_via_metalearning=25) setup_logger() auto._logger = get_logger('test_do_dummy_predictions') auto._backend._make_internals_directory() D = store_and_or_load_data(dataset, output) auto._do_dummy_prediction(D) # Assure that the dummy predictions are not in the current working # directory, but in the output directory (under output) self.assertFalse(os.path.exists(os.path.join(os.getcwd(), '.auto-sklearn'))) self.assertTrue(os.path.exists(os.path.join(output, '.auto-sklearn'))) del auto self._tearDown(output)
def test_do_dummy_prediction(self): for name in ['401_bac', '31_bac', 'adult', 'cadata']: output = os.path.join(self.test_dir, '..', '.tmp_test_do_dummy_prediction') self._setUp(output) dataset = os.path.join(self.test_dir, '..', '.data', name) auto = autosklearn.automl.AutoML( output, output, 15, 15, initial_configurations_via_metalearning=25) setup_logger() auto._logger = get_logger('test_do_dummy_predictions') auto._backend._make_internals_directory() D = store_and_or_load_data(dataset, output) auto._do_dummy_prediction(D) # Assure that the dummy predictions are not in the current working # directory, but in the output directory (under output) self.assertFalse( os.path.exists(os.path.join(os.getcwd(), '.auto-sklearn'))) self.assertTrue( os.path.exists(os.path.join(output, '.auto-sklearn'))) del auto self._tearDown(output)
def test_do_dummy_prediction(self): output = os.path.join(self.test_dir, '..', '.tmp_test_do_dummy_prediction') self._setUp(output) name = '401_bac' dataset = os.path.join(self.test_dir, '..', '.data', name) auto = autosklearn.automl.AutoML( output, output, 15, 15, initial_configurations_via_metalearning=25) auto._backend._make_internals_directory() D = store_and_or_load_data(dataset, output) auto._do_dummy_prediction(D) del auto self._tearDown(output)