sentences=gensim.models.doc2vec.TaggedLineDocument("raw_docs.txt")
model=gensim.models.Doc2Vec(sentences,min_count=1,iter=100)
sentence=TaggedDocument(words=[u'为了'],tags=[u'T1'])
sentences1=[sentence]
model.build_vocab(sentences1,update=True)
model.train(sentences1)
print "successful!"
I want to use big data to train the doc2vec model. And I want to use this preliminary model to teach a new text.
I just plan to train a new one with a preliminary model. How can i do this? The code above does not work ...
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