torcheval.metrics.functional.word_information_preserved

torcheval.metrics.functional.word_information_preserved(input: str | List[str], target: str | List[str]) → Tensor

计算预测词序列相对于参考词序列的词信息保留分数。它的类版本是 torcheval.metrics.WordInformationPreserved。

参数：

• input (str, List[str]) – 作为字符串或字符串列表的预测词序列。

• target (str, List[str]) – 作为字符串或字符串列表的参考词序列。

示例

>>> import torch
>>> from torcheval.metrics.functional import word_information_preserved
>>> input = ["hello world", "welcome to the facebook"]
>>> target = ["hello metaverse", "welcome to meta"]
>>> word_information_preserved(input, target)
tensor(0.3)
>>> input = ["this is the prediction", "there is an other sample"]
>>> target = ["this is the reference", "there is another one"]
>>> word_information_preserved(input, target)
tensor(0.3472)