def test_create_complete(self):
predictionmodel = PredictionModel(self.minimum_data)
predictionmodel.add_custom_data(self.additional_data)
eq_('alias/project', predictionmodel.project)
eq_('mymodel', predictionmodel.name)
eq_('active', predictionmodel.status)
eq_(30, predictionmodel.interval)
eq_(4.533, predictionmodel.mean)
eq_([4.5, 3, 5], predictionmodel.cov)
def test_create_complete(self):
predictionmodel = PredictionModel(self.minimum_data)
predictionmodel.add_custom_data(self.additional_data)
eq_('alias/project', predictionmodel.project)
eq_('mymodel', predictionmodel.name)
eq_('active', predictionmodel.status)
eq_(30, predictionmodel.interval)
eq_(4.533, predictionmodel.mean)
eq_([4.5, 3, 5], predictionmodel.cov)
def test_to_primitive(self):
predictionmodel = PredictionModel(self.minimum_data)
predictionmodel.add_custom_data(self.additional_data)
primitive = predictionmodel.to_primitive()
def test_validate_complete_data(self):
predictionmodel = PredictionModel(self.minimum_data)
predictionmodel.add_custom_data(self.additional_data)
predictionmodel.validate()
def test_validate_minimum_data(self):
predictionmodel = PredictionModel(self.minimum_data)
predictionmodel.validate()
def test_to_primitive(self):
predictionmodel = PredictionModel(self.minimum_data)
predictionmodel.add_custom_data(self.additional_data)
primitive = predictionmodel.to_primitive()
def test_validate_complete_data(self):
predictionmodel = PredictionModel(self.minimum_data)
predictionmodel.add_custom_data(self.additional_data)
predictionmodel.validate()
def test_validate_minimum_data(self):
predictionmodel = PredictionModel(self.minimum_data)
predictionmodel.validate()
def test_tablename(self):
eq_('model', PredictionModel.__tablename__)
predictionmodel = PredictionModel(self.minimum_data)
eq_('model', predictionmodel.__tablename__)
def test_key(self):
predictionmodel = PredictionModel(self.minimum_data)
eq_('alias/project-30-mymodel', predictionmodel.__key__)
def test_create_minimum_data(self):
predictionmodel = PredictionModel(self.minimum_data)
eq_('alias/project', predictionmodel.project)
eq_('mymodel', predictionmodel.name)
eq_(30, predictionmodel.interval)
eq_('active', predictionmodel.status)
