def test_output(self, input_file):
reader = FileReader(input_file)
letter_values = reader.get_letter_values()
values = {}
for p in self.perceptrons:
values[p.name] = p.output(letter_values)
print(values)
return max(values, key=values.get)
def train_perceptrons(self):
files = glob.glob(Settings.TRAINING_DIR + '/**/*.txt', recursive=True)
repeat = 1
while repeat == 1:
repeat = 0
for f in files:
error = 0
reader = FileReader(f)
letter_values = reader.get_letter_values()
lang = reader.get_language_name()
for p in self.perceptrons:
output = p.train(letter_values, lang)
error += 0.5 * (p.desired_output(lang) - output)**2
if error > Settings.MAX_ERROR:
repeat = 1
