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Resolving issue #908 #942

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Resolving issue #908 #942

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132aef5
Updated ldamodel.py
saksham-s Oct 12, 2016
c6da1ac
Update CHANGELOG.md
saksham-s Oct 12, 2016
bd129d0
Added parameter per_word_topics to apply call
saksham-s Oct 12, 2016
c1b604a
Update ldamodel.py
saksham-s Oct 13, 2016
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4 changes: 4 additions & 0 deletions CHANGELOG.md
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Original file line number Diff line number Diff line change
@@ -1,5 +1,9 @@
Changes
=======
0.13.4, 2016-10-12

* Fixed issue in ldamodel.py by adding a parameter per_word_topics to apply call (@saksham15082, #908)


0.13.3, 2016-09-26

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2 changes: 1 addition & 1 deletion gensim/models/ldamodel.py
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Expand Up @@ -921,7 +921,7 @@ def get_document_topics(self, bow, minimum_probability=None, minimum_phi_value=N
# if the input vector is a corpus, return a transformed corpus
is_corpus, corpus = utils.is_corpus(bow)
if is_corpus:
return self._apply(corpus)
return self._apply(corpus , per_word_topics)

gamma, phis = self.inference([bow], collect_sstats=True)
topic_dist = gamma[0] / sum(gamma[0]) # normalize distribution
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