gensim word2vec-在线词嵌入更新中的数组维数 [英] gensim word2vec - array dimensions in updating with online word embedding
问题描述
gensim 0.13.4.1中的Word2Vec无法即时更新单词向量.
Word2Vec from gensim 0.13.4.1 to update the word vectors on the fly does not work.
model.build_vocab(sentences, update=False)
工作正常;但是,
model.build_vocab(sentences, update=True)
没有.
我正在使用此网站尝试模仿他们所做的事情;因此,我有时会使用以下脚本:
I am using this website to try and emulate what they have done; hence I use the following script at some point:
model = gensim.models.Word2Vec()
sentences = gensim.models.word2vec.LineSentence("./text8/text8")
model.build_vocab(sentences, keep_raw_vocab=False, trim_rule=None, progress_per=10000, update=False)
model.train(sentences)
然而,尽管这与update=False
一起运行,但使用update=True
却可以得到以下回溯:
However while this runs with update=False
, using update=True
gives me the following traceback:
Traceback (most recent call last):
File "word2vecAttempt.py", line 34, in <module>
model.build_vocab(sentences, progress_per=10000, update=True)
File "/home/brownc/anaconda3/lib/python3.5/site-packages/gensim/models/word2vec.py", line 535, in build_vocab
self.finalize_vocab(update=update) # build tables & arrays
File "/home/brownc/anaconda3/lib/python3.5/site-packages/gensim/models/word2vec.py", line 708, in finalize_vocab
self.update_weights()
File "/home/brownc/anaconda3/lib/python3.5/site-packages/gensim/models/word2vec.py", line 1070, in update_weights
self.wv.syn0 = vstack([self.wv.syn0, newsyn0])
File "/home/brownc/anaconda3/lib/python3.5/site-packages/numpy/core/shape_base.py", line 230, in vstack
return _nx.concatenate([atleast_2d(_m) for _m in tup], 0)
ValueError: all the input array dimensions except for the concatenation axis must match exactly
推荐答案
我能够重现您的错误.我认为您尚未训练模型时正在调用update=True
.您只应在对其进行预培训后再调用它.
I was able to reproduce your error. I think you're calling update=True
when the model is not trained yet. You should only call it when it has been pre-trained.
这有效:
import gensim
model = gensim.models.Word2Vec()
sentences = gensim.models.word2vec.LineSentence("text8")
model.build_vocab(sentences, update=False)
model.train(sentences)
model.build_vocab(sentences, update=True)
model.train(sentences)
但这将失败:
import gensim
model = gensim.models.Word2Vec()
sentences = gensim.models.word2vec.LineSentence("text8")
model.build_vocab(sentences, update=True)
model.train(sentences)
ValueError: all the input array dimensions except for the concatenation axis must match exactly
使用最新版本的gensim 0.13.4.1.
Using the latest version of gensim 0.13.4.1.
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