def test(base_directory, ignore_word_file, filtered, nb_hidden_neurons, nb_max_iteration):
print("post reading...")
pr = PostReader(base_directory, ignore_word_file, filtered)
print("creating neural network...")
nn = NeuralNetwork(pr.get_word_set(), nb_hidden_neurons, nb_max_iteration)
print("training...")
training_set = pr.get_training_set()
t0 = time.clock()
nb_iteration = nn.train(training_set)
training_time = time.clock() - t0
print("verification...")
t0 = time.clock()
verification_set = pr.get_verification_set()
verification_time = time.clock() - t0
nb_correct = 0
for msg in verification_set:
final = NeuralNetwork.threshold(nn.classify(msg[0]))
if final == msg[1]:
nb_correct += 1
print("=======================")
print("training set length : %s" % len(training_set))
print("nb hidden neurons : %s" % nb_hidden_neurons)
print("nb max iterations : %s" % nb_max_iteration)
print("nb iterations : %s" % nb_iteration)
print("verification set length: %s posts" % len(verification_set))
print("nb correct classified : %s posts" % nb_correct)
print("rate : %i %%" % (nb_correct / len(verification_set) * 100))
print("training time : %i s" % training_time)
print("verification time : %i s" % verification_time)
print("=======================")
print("")
