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("")