CODEWITHSUNDEEP
nltkword2vec
user11066068
user11066068

Reputation:

'Word2Vec' object has no attribute 'generate_training_data'

Code : 

from gensim.models.word2vec import Word2Vec
w2v = Word2Vec()
training_data = w2v.generate_training_data(settings, corpus)

Error :

---------------------------------------------------------------------------
AttributeError                            Traceback (most recent call last)
<ipython-input-45-bae554564046> in <module>
      1 w2v = Word2Vec()
      2 # Numpy ndarray with one-hot representation for [target_word, context_words]
----> 3 training_data = w2v.generate_training_data(settings, corpus)

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

I even tried importing gensim.models.word2vec and tried every possibility but couldn't get it done. Can someone help me with it? Thanks in advance !

Upvotes: 0

Views: 950

Answers (1)

gojomo
gojomo

Reputation: 54183

Yes, the gensim Word2Vec class doesn't have that method – and as far as I know, it never has.

And from your example usage, I'm not even sure what it might purport to do: a Word2Vec model needs to be provided data in the right format – it doesn't "generate" it (even as a translation from some other corpus).

I suspect you are looking at docs or a code example from some other unrelated library.

For using gensim's Word2Vec, you should rely on the gensim documentation & examples. The class docs include some basic details of proper usage, and there's a Jupyter notebook word2vec.ipynb included with the library, in its docs/notebooks directory (and also viewable online).

Upvotes: 1

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