python - Error while loading Word2Vec model in gensim

Question

I'm getting an AttributeError while loading the gensim model available at word2vec repository:

from gensim import models
w = models.Word2Vec()
w.load_word2vec_format('GoogleNews-vectors-negative300.bin', binary=True)
print w["queen"]

---------------------------------------------------------------------------
AttributeError                            Traceback (most recent call last)
<ipython-input-3-8219e36ba1f6> in <module>()
----> 1 w["queen"]

C:\Anaconda64\lib\site-packages\gensim\models\word2vec.pyc in __getitem__(self, word)
    761 
    762         """
--> 763         return self.syn0[self.vocab[word].index]
    764 
    765 

AttributeError: 'Word2Vec' object has no attribute 'syn0'

Is this a known issue ?

Answer 1

修复了以下问题：

from gensim import models
w = models.Word2Vec.load_word2vec_format('GoogleNews-vectors-negative300.bin', binary=True)
print w["queen"]

Answer 2

为了在不同的训练算法（Word2Vec、Fastext、WordRank、VarEmbed）之间共享词向量查询代码，作者将词向量的存储和查询分离到一个单独的类 KeyedVectors 中。

word2vec 类中的两个方法和几个属性已被弃用。

方法

• load_word2vec_format
• save_word2vec_format

属性

• 同义词
• 同步0
• 词汇
• index2word

这些已移至 KeyedVectors 类。

升级到此版本后，您可能会收到有关不推荐使用的方法或缺少属性的异常。

要删除异常，您应该使用

KeyedVectors.load_word2vec_format (instead ofWord2Vec.load_word2vec_format)
word2vec_model.wv.save_word2vec_format (instead of  word2vec_model.save_word2vec_format)
model.wv.syn0norm instead of  (model.syn0norm)
model.wv.syn0 instead of  (model.syn0)
model.wv.vocab instead of (model.vocab)
model.wv.index2word instead of (model.index2word)

Answer 3

目前，正如models.Word2Vec已弃用的那样，您需要使用如下所示的models.KeyedVectors.load_word2vec_format代替。models.Word2Vec.load_word2vec_format

from gensim import models
w = models.KeyedVectors.load_word2vec_format('model.bin', binary=True)