本文整理汇总了Python中NeuralNetwork.NeuralNetwork.threshold方法的典型用法代码示例。如果您正苦于以下问题：Python NeuralNetwork.threshold方法的具体用法？Python NeuralNetwork.threshold怎么用？Python NeuralNetwork.threshold使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类NeuralNetwork.NeuralNetwork的用法示例。
在下文中一共展示了NeuralNetwork.threshold方法的1个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: test
# 需要导入模块: from NeuralNetwork import NeuralNetwork [as 别名]
# 或者: from NeuralNetwork.NeuralNetwork import threshold [as 别名]
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("")