….tags[0], model.infer_vector(doc.words, steps=20)) for doc in sents])
return targets, regressorsdef vec_for_learning(model, tagged_docs):
sents = tagged_docs.values
targets, regressors = zip(*[(doc.tags[0], model.infer_vector(doc.words, steps=20)) for doc in sents])
return targets, regressors
