def test_ugly_datasets(self):
self.send_signal(
self.widget.Inputs.data, Table(datasets.path("testing_dataset_cls"))
)
self.send_signal(
self.widget.Inputs.data, Table(datasets.path("testing_dataset_reg"))
)
def test_variable_group_combinations(self):
"""Check widget for all combinations of variable and group for dataset
with constant columns and missing data"""
self.send_signal(self.widget.Inputs.data, Table(datasets.path("testing_dataset_cls")))
for groupvar_idx in range(len(self.widget.groupvarmodel)):
self.widget.groupvar_idx = groupvar_idx
for var_idx in range(len(self.widget.varmodel)):
self.widget.variable_idx = var_idx
self.widget._setup()
def test_variable_group_combinations(self):
"""Check widget for all combinations of variable and group for dataset
with constant columns and missing data"""
self.send_signal("Data", Table(datasets.path("testing_dataset_cls")))
for groupvar_idx in range(len(self.widget.groupvarmodel)):
self.widget.groupvar_idx = groupvar_idx
for var_idx in range(len(self.widget.varmodel)):
self.widget.variable_idx = var_idx
self.widget._setup()
def setUp(self):
self.widget = self.create_widget(
OWCalibratedLearner, stored_settings={"auto_apply": False})
self.send_signal(self.widget.Inputs.base_learner, NaiveBayesLearner())
self.data = Table("heart_disease")
self.valid_datasets = (self.data,)
self.inadequate_dataset = (Table(datasets.path("testing_dataset_reg")),)
self.learner_class = LearnerClassification
self.model_class = ModelClassification
self.model_name = 'Calibrated classifier'
self.parameters = []
def test_is_defined_on_continuous_variable(self):
# gh-2054 regression
data = Table(datasets.path("testing_dataset_cls"))
self.send_signal(self.widget.Inputs.data, data)
self.enterFilter(data.domain["c2"], "is defined")
self.assertFalse(self.widget.Error.parsing_error.is_shown())
self.assertEqual(len(self.get_output("Matching Data")), 3)
self.assertEqual(len(self.get_output("Unmatched Data")), 1)
# Test saving of settings
self.widget.settingsHandler.pack_data(self.widget)
def test_is_defined_on_continuous_variable(self):
# gh-2054 regression
data = Table(datasets.path("testing_dataset_cls"))
self.send_signal(self.widget.Inputs.data, data)
self.enterFilter(data.domain["c2"], "is defined")
self.assertFalse(self.widget.Error.parsing_error.is_shown())
self.assertEqual(len(self.get_output("Matching Data")), 3)
self.assertEqual(len(self.get_output("Unmatched Data")), 1)
# Test saving of settings
self.widget.settingsHandler.pack_data(self.widget)
def test_ugly_datasets(self):
self.send_signal(self.widget.Inputs.data, Table(datasets.path("testing_dataset_cls")))
self.send_signal(self.widget.Inputs.data, Table(datasets.path("testing_dataset_reg")))
