def testMovieSongClassification(self):
input_data = {"a perfect world":"movie",
"a perfect day":"song",
"my perfect woman":"movie",
"electric storm":"song",
"pretty woman":"movie",
"another rainy day":"song"}
classifier = NaiveBayesianClassifier(input_data.keys(), input_data.values())
classifier.train()
self.assertEqual(classifier.predict("perfect storm"), "song")
def testSingleClassification(self):
input_data = {"foo":"yes",
"bar":"yes",
"foo":"no",
"foo":"no",
"bar":"yes",
"bar":"no",
"monty":"yes",
"python":"no",
"monty":"yes",
"monty":"no",
"python":"no",
"python":"no",
"foo":"yes",
"foo":"no"}
document = ["foo", "bar", "foo", "foo", "bar", "bar", "monty",
"python", "monty", "monty", "python", "python",
"foo", "foo"]
classes = ["yes", "yes", "no", "no", "yes", "no", "yes", "no", "yes", "no",
"no", "no", "yes", "no"]
classifier = NaiveBayesianClassifier(document, classes)
classifier.train()
self.assertEqual(classifier.predict("foo"), "no", "Equality checking for 'foo'")
self.assertEqual(classifier.predict("bar"), "yes", "Equality checking for 'bar'")
self.assertEqual(classifier.predict("monty"), "yes", "Equality checking for 'monty'")
self.assertEqual(classifier.predict("python"), "no", "Equality checking for 'python'")
