def testClassifierMakerClassifiers(self):
"Check that all classifiers that can be made are valid."
data, test_data, vectors = testData()
class_values = set(x[2] for x in data)
params = {'beta': [1.0, 2.0], 'costs': [1.0], 'k': [1]}
maker = ClassifierMaker(vectors, params)
names = maker.get_names()
for name in names:
classifier = maker.make(name)
classifier.fit(data)
results = classifier.predict(test_data)
self.assertEqual(len(results), len(test_data))
self.assertTrue(set(results) <= class_values)
def testClassifierMakerClassifiers(self):
"Check that all classifiers that can be made are valid."
data, test_data, vectors = testData()
class_values = set(x[2] for x in data)
params = {'beta':[1.0, 2.0], 'costs':[1.0]}
maker = ClassifierMaker(vectors, params)
names = maker.get_names()
for name in names:
classifier = maker.make(name)
classifier.fit(data)
results = classifier.predict(test_data)
self.assertEqual(len(results), len(test_data))
self.assertTrue(set(results) <= class_values)
def testClassifierMakerNames(self):
data, test_data, vectors = testData()
maker = ClassifierMaker(vectors)
names = maker.get_names()
self.assertGreater(len(names), 0,
"Maker should have more than one classifier")
def testClassifierMakerNames(self):
data, test_data, vectors = testData()
maker = ClassifierMaker(vectors)
names = maker.get_names()
self.assertGreater(len(names), 0,
"Maker should have more than one classifier")
