def test_dame_namsor_accuracy_score_dame(self):
dn = DameNamsor()
score1 = dn.accuracy_score_dame([1, 1], [1, 1])
self.assertEqual(score1, 1)
score2 = dn.accuracy_score_dame([1, 1, 1, 0], [1, 1, 2, 0])
self.assertEqual(score2, 0.75)
score3 = dn.accuracy_score_dame([1, 1, 1, 1, 2, 1], [1, 1, 1, 1, 2, 1])
self.assertEqual(score3, 1)
def test_dame_namsor_accuracy_score_dame_method_returns_correct_result(
self):
g = DameNamsor()
score1 = g.accuracy_score_dame([1, 1], [1, 1])
self.assertEqual(score1, 1)
score2 = g.accuracy_score_dame([1, 1, 1, 0], [1, 1, 2, 0])
self.assertEqual(score2, 0.75)
score3 = g.accuracy_score_dame([1, 1, 1, 1, 2, 1], [1, 1, 1, 1, 2, 1])
self.assertEqual(score3, 1)
parser = argparse.ArgumentParser()
parser.add_argument('--csv', default="files/names/min.csv")
parser.add_argument('--api', default="damegender", choices=['customsearch', 'namsor', 'genderize', 'genderguesser', 'damegender', 'genderapi', 'nameapi'])
parser.add_argument('--ml', default="nltk", choices=['nltk', 'svc', 'sgd', 'gaussianNB', 'multinomialNB', 'bernoulliNB'])
args = parser.parse_args()
if (args.api == "all"):
dn = DameNamsor()
print("################### Namsor!!")
gl = dn.gender_list(path=args.csv)
print("Gender list: " + str(gl))
sl = dn.guess_list(path=args.csv, binary=True)
print("Guess list: " +str(sl))
namsor_accuracy = dn.accuracy_score_dame(gl, sl)
#print(dn.accuracy_score_dame([1, 1, 1, 1, 2, 1], [1, 1, 1, 1, 1, 1]))
#namsor_accuracy = dn.accuracy_score_dame([1, 1, 1, 1, 2, 1], [1, 1, 1, 1, 2, 1])
print("Namsor accuracy: %s" % namsor_accuracy)
dg = DameGenderize()
print("################### Genderize!!")
gl = dg.gender_list(path=args.csv)
print("Gender list: " + str(gl))
sl = dg.guess_list(path=args.csv, binary=True)
print("Guess list: " +str(gl))
genderize_accuracy = dg.accuracy_score_dame(gl,sl)
print("Genderize accuracy: %s" % genderize_accuracy)
