gensim.matutils.corpus2dense()
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gensim.matutils.
corpus2dense
(corpus, num_terms, num_docs=None, dtype=<type 'numpy.float32'>)[source]¶ Convert corpus into a dense numpy array (documents will be columns). You must supply the number of features num_terms, because dimensionality cannot be deduced from the sparse vectors alone.
You can optionally supply num_docs (=the corpus length) as well, so that a more memory-efficient code path is taken.
This is the mirror function to Dense2Corpus.