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Inference added to HdpModel docs #1029

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Nov 24, 2016
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Inference added to HdpModel docs #1029

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9 changes: 8 additions & 1 deletion gensim/models/hdpmodel.py
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Expand Up @@ -113,10 +113,17 @@ class HdpModel(interfaces.TransformationABC, basemodel.BaseTopicModel):
on a training corpus:

>>> hdp = HdpModel(corpus, id2word)
>>> hdp.print_topics(show_topics=20, num_words=10)

You can infer topic distributions on new, unseen documents with

>>> doc_hdp = hdp[doc_bow]

Inference on new documents is based on the approximately LDA-equivalent topics.

To print 20 topics with top 10 most probable words

>>> hdp.print_topics(show_topics=20, num_words=10)

Model persistency is achieved through its `load`/`save` methods.

"""
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