Extract the features from Doc2Vec in Python
Yes, if words is a list of word strings, preprocessed/tokenized the same way as training data was fed to the model during training.
For a small project I need to extract the features obtained from Doc2Vec object in gensim.
I have used vector = model.infer_vector(words) is it correct?