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)
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)
