class ModelTest(TestBodyModel):
@classmethod
def setUpClass(cls):
print "#################### Begin Testing Model Class ####################" + "\n"
@classmethod
def tearDownClass(cls):
print "\n" + "###################### End Testing Model Class ######################"
def setUp(self):
test_name = self.shortDescription()
super(ModelTest, self).setUp()
self.mock_obj = Model(self.test_data)
if test_name == "Test routine fill_feature_target() in Model":
self.term_freq = res.term_frequency
print "setting up for testing fill_feature_target()"
elif test_name == "Test routine evaluate_cross_validation() in Model":
self.mock_obj.set_classifier("svm_linear")
self.accuracy = res.accuracy_svm_bag_of_words
self.accuracy_mean = res.accuracy_svm_bag_of_words_mean
print "setting up for testing evaluate_cross_validation()"
def tearDown(self):
test_name = self.shortDescription()
self.korpus_file = None
self.anno_file = None
self.test_korpus = None
self.test_data = None
self.mock_obj = None
if test_name == "Test routine fill_feature_target() in Model":
print "cleaning up for testing fill_feature_target()"
self.term_freq = None
print "--------------------------------------------------------------"
elif test_name == "Test routine evaluate_cross_validation() in Model":
self.accuracy = None
self.accuracy_mean = None
print "cleaning up for testing evaluate_cross_validation()"
print "--------------------------------------------------------------"
def test__model__fill_feature_target(self):
""" Test routine fill_feature_target() in Model """
for index in range(len(self.test_data.real_data.values())):
reference = np.array(self.test_data.real_data.values()[index])
(self.mock_obj.feature_samples[index] == reference).all()
def test__model__evaluate_cross_validation(self):
""" Test routine evaluate_cross_validation() in Model """
acc_list, acc_mean = self.mock_obj.evaluate_cross_validation(10)
self.assertListEqual(self.accuracy, acc_list)
self.assertEqual(self.accuracy_mean, acc_mean)
class ModelTest(TestBodyModel):
@classmethod
def setUpClass(cls):
print "#################### Begin Testing Model Class ####################" + "\n"
@classmethod
def tearDownClass(cls):
print "\n" + "###################### End Testing Model Class ######################"
def setUp(self):
test_name = self.shortDescription()
super(ModelTest, self).setUp()
self.mock_obj = Model(self.test_data)
if test_name == "Test routine fill_feature_target() in Model":
self.term_freq = res.term_frequency
print "setting up for testing fill_feature_target()"
elif test_name == "Test routine evaluate_cross_validation() in Model":
self.mock_obj.set_classifier("svm_linear")
self.accuracy = res.accuracy_svm_bag_of_words
self.accuracy_mean = res.accuracy_svm_bag_of_words_mean
print "setting up for testing evaluate_cross_validation()"
def tearDown(self):
test_name = self.shortDescription()
self.korpus_file = None
self.anno_file = None
self.test_korpus = None
self.test_data = None
self.mock_obj = None
if test_name == "Test routine fill_feature_target() in Model":
print "cleaning up for testing fill_feature_target()"
self.term_freq = None
print "--------------------------------------------------------------"
elif test_name == "Test routine evaluate_cross_validation() in Model":
self.accuracy = None
self.accuracy_mean = None
print "cleaning up for testing evaluate_cross_validation()"
print "--------------------------------------------------------------"
def test__model__fill_feature_target(self):
""" Test routine fill_feature_target() in Model """
for index in range(len(self.test_data.real_data.values())):
reference = np.array(self.test_data.real_data.values()[index])
(self.mock_obj.feature_samples[index] == reference).all()
def test__model__evaluate_cross_validation(self):
""" Test routine evaluate_cross_validation() in Model """
acc_list, acc_mean = self.mock_obj.evaluate_cross_validation(10)
self.assertListEqual(self.accuracy, acc_list)
self.assertEqual(self.accuracy_mean, acc_mean)
def setUp(self):
test_name = self.shortDescription()
super(ModelTest, self).setUp()
self.mock_obj = Model(self.test_data)
if test_name == "Test routine fill_feature_target() in Model":
self.term_freq = res.term_frequency
print "setting up for testing fill_feature_target()"
elif test_name == "Test routine evaluate_cross_validation() in Model":
self.mock_obj.set_classifier("svm_linear")
self.accuracy = res.accuracy_svm_bag_of_words
self.accuracy_mean = res.accuracy_svm_bag_of_words_mean
print "setting up for testing evaluate_cross_validation()"
def setUp(self):
test_name = self.shortDescription()
super(ModelTest, self).setUp()
self.mock_obj = Model(self.test_data)
if test_name == "Test routine fill_feature_target() in Model":
self.term_freq = res.term_frequency
print "setting up for testing fill_feature_target()"
elif test_name == "Test routine evaluate_cross_validation() in Model":
self.mock_obj.set_classifier("svm_linear")
self.accuracy = res.accuracy_svm_bag_of_words
self.accuracy_mean = res.accuracy_svm_bag_of_words_mean
print "setting up for testing evaluate_cross_validation()"
