python-3.x - Gensim:KeyedVectors.train()

Question

我从 here 下载维基百科词向量.我加载了向量:

model_160 = KeyedVectors.load_word2vec_format(wiki_160_path, binary=False)

然后想训练他们:

model_160.train()

我得到了错误:

---------------------------------------------------------------------------
AttributeError                            Traceback (most recent call last)
<ipython-input-11-22a9f6312119> in <module>()
----> 1 model.train()

AttributeError: 'KeyedVectors' object has no attribute 'train'

我现在的问题是:KeyedVectors 似乎没有训练功能，但我想继续在我个人的句子上训练向量，而不是仅仅使用维基百科向量。这怎么可能？

提前致谢，简

Answer 1

您不能为此使用 KeyedVectors。来自 the documentation :

Word vector storage and similarity look-ups.
The word vectors are considered read-only in this class.

和also :

The word vectors can also be instantiated from an existing file on disk in the word2vec C format as a KeyedVectors instance.
[...]
NOTE: It is impossible to continue training the vectors loaded from the C format because hidden weights, vocabulary frequency and the binary tree is missing.