def test_unique_output_domain(self):
bayes = NaiveBayesLearner()
data = possible_duplicate_table('iris(Learner #1)')
input_data = CrossValidation(k=3, store_data=True)(data, [bayes])
self.send_signal(self.widget.Inputs.evaluation_results, input_data)
output = self.get_output(self.widget.Outputs.annotated_data)
self.assertEqual(output.domain.metas[0].name, 'iris(Learner #1) (1)')
def test_unique_domain(self):
simulate.combobox_activate_item(self.widget.manifold_methods_combo, "MDS")
data = possible_duplicate_table('C0', class_var=True)
self.send_signal(self.widget.Inputs.data, data)
self.widget.apply_button.button.click()
out = self.get_output(self.widget.Outputs.transformed_data)
self.assertTrue(out.domain.attributes[0], 'C0 (1)')
def test_unique_output_domain(self):
widget = self.widget
data = possible_duplicate_table('Silhouette (iris)')
matrix = Orange.distance.Euclidean(data)
self.send_signal(widget.Inputs.data, matrix, widget=widget)
output = self.get_output(self.widget.Outputs.annotated_data)
self.assertEqual(output.domain.metas[0].name, 'Silhouette (iris) (1)')
def test_unique_output_domain(self):
data = possible_duplicate_table('constant')
predictor = ConstantLearner()(data)
self.send_signal(self.widget.Inputs.data, data)
self.send_signal(self.widget.Inputs.predictors, predictor)
output = self.get_output(self.widget.Outputs.predictions)
self.assertEqual(output.domain.metas[0].name, 'constant (1)')
def test_unique_output_domain(self):
data = possible_duplicate_table('random forest')
self.send_signal(self.widget.Inputs.train_data, data)
self.send_signal(self.widget.Inputs.learner, RandomForestLearner(), 0)
output = self.get_output(self.widget.Outputs.predictions)
self.assertEqual(output.domain.metas[0].name, 'random forest (1)')
def test_unique_domain(self):
w = self.widget
data = possible_duplicate_table("Cluster")
self.send_signal(w.Inputs.data, data)
output = self.get_output(w.Outputs.annotated_data)
self.assertEqual(output.domain.metas[0].name, "Cluster (1)")
def test_unique_domain_components(self):
table = possible_duplicate_table('components')
self.send_signal(self.widget.Inputs.data, table)
out = self.get_output(self.widget.Outputs.components)
self.assertEqual(out.domain.metas[0].name, 'components (1)')
