def run():
lines = DataReader.read('car.data.txt')
training_inputs = DataReader.parse_data(lines)
print "Initializing Network..."
my_network = Network(number_of_centers=NUMBER_OF_CENTERS,
training=TRAINING_ITERATIONS)
print "Done."
print "Starting training. {} centers / {} iterations".\
format(NUMBER_OF_CENTERS, TRAINING_ITERATIONS)
my_network.train(training_inputs)
print "Done."
# TODO(Accuracy): Test accuracy with non training data.
right = 0
total_tests = 100
for i in range(total_tests):
chosen = random.choice(training_inputs)
response = my_network.classify(chosen['inputs'])
if response == chosen['expected']:
right += 1
print "Accuracy => {}/{}".format(right, total_tests)
