def testClassifier(self):
c = Classifier(getwords)
c.train("nobody owns the water", "Good")
c.train("the quick rabbit jumps fences", "Good")
c.train("buy pharmaceuticals now", "Bad")
c.train("make quick money at the online casino", "Bad")
c.train("the quick brown fox jumps", "Good")
c.train("next meeting is at night", "Good")
c.train("meeting with your superstar", "Bad")
c.train("money like water", "Bad")
# added quick to the test string, because with 'money jumps' Good and Bad got the same value.
self.assertEqual(c.classify("the money jumps quick"), "Good")
countnews['nontech']+=1
c.train(fulltext, "NonTech")
print "----------------------------------------------------------------"
print "----------------------------------------------------------------"
print "----------------------------------------------------------------"
print "--------------------News from test------------------------"
for feed in test:
f=feedparser.parse(feed)
for e in f.entries:
print '\n---------------------------'
fulltext=stripHTML(e.title+' '+e.description)
print fulltext
countnews['test']+=1
print("Klassifikation: " + c.classify(fulltext))
print "----------------------------------------------------------------"
print "----------------------------------------------------------------"
print "----------------------------------------------------------------"
print 'Number of used trainings samples in categorie tech',countnews['tech']
print 'Number of used trainings samples in categorie notech',countnews['nontech']
print 'Number of used test samples',countnews['test']
print '--'*30
