问题描述
我正在尝试通过使用以下代码来尝试gensim doc2vec.据我从教程了解，它应该可以工作.但是，它给出了 AttributeError:'list'对象没有属性'words'.
I am trying to experiment gensim doc2vec, by using following code. As far as I understand from tutorials, it should work. However it gives AttributeError: 'list' object has no attribute 'words'.
from gensim.models.doc2vec import LabeledSentence, Doc2Vec
document = LabeledSentence(words=['some', 'words', 'here'], tags=['SENT_1'])
model = Doc2Vec(document, size = 100, window = 300, min_count = 10, workers=4)
那我做错了什么?请帮忙.谢谢你.我正在使用python 3.5和gensim 0.12.4
So what did I do wrong? Any help please. Thank you. I am using python 3.5 and gensim 0.12.4
推荐答案
gensim.models.doc2vec的输入应该是LabeledSentence上的 iterator (例如列表对象).试试:
Input to gensim.models.doc2vec should be an iterator over the LabeledSentence (say a list object). Try:
model = Doc2Vec([document], size = 100, window = 1, min_count = 1, workers=1)
我减小了window和min_count的大小，以便它们对于给定的输入有意义.如果还没有的话，还可以通过 Doc2Vec 上的这篇不错的教程来学习.
I have reduced the window size, and min_count so that they make sense for the given input. Also go through this nice tutorial on Doc2Vec, if you haven't already.
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