def test_sexmachine_classifier(self):
s = DameSexmachine()
classifier = s.classifier(locale="us")
n = s.features("David")
guess = classifier.classify(n)
self.assertTrue(1, n)
fo.write(m+"\n")
fo.close()
fo2 = open(pathfemales, "w")
for f in females:
fo2.write(f+"\n")
fo2.close()
if (args.dataset):
print(args.dataset)
create_file(args.dataset)
if (args.ml):
s = DameSexmachine()
if (args.ml == "nltk"):
s.classifier()
elif (args.ml == "sgd"):
s.sgd()
elif (args.ml == "svc"):
s.svc()
elif (args.ml == "gaussianNB"):
s.gaussianNB()
elif (args.ml == "multinomialNB"):
s.multinomialNB()
elif (args.ml == "bernoulliNB"):
s.bernoulliNB()
elif (args.ml == "forest"):
s.forest()
elif (args.ml == "adaboost"):
s.adaboost()
elif (args.ml == "tree"):
