NLU中如何计算意图识别准确率

import numpy as np
def get_intent_acc(preds, labels):
    acc = (preds == labels).mean()
    return {
        "intent_acc": acc
    }

if __name__ == '__main__':
    preds = np.array([0.1, 0.5, 0.1, 0.1, 0.1,0.1])
    labels = np.array([0.1, 0.6, 0.1, 0.1, 0.05, 0.05])
    a = get_intent_acc(preds, labels)
    print(a)

结果：3/6=0.5

D:\ProgramData\Anaconda3\envs\jointBert\python.exe E:/github/2020.03/JointBERT-master/test.py
{'intent_acc': 0.5}

Process finished with exit code 0

注意：mean()函数在numpy中使用