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Fixed bound computation mistake in author-topic model #1156

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Feb 20, 2017
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Fixed bound computation mistake in author-topic model #1156

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2 changes: 1 addition & 1 deletion gensim/models/atmodel.py
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Original file line number Diff line number Diff line change
Expand Up @@ -838,7 +838,7 @@ def bound(self, chunk, chunk_doc_idx=None, subsample_ratio=1.0, author2doc=None,
# Computing the bound requires summing over expElogtheta[a, k] * expElogbeta[k, v], which
# is the same computation as in normalizing phi.
phinorm = self.compute_phinorm(ids, authors_d, expElogtheta[authors_d, :], expElogbeta[:, ids])
word_score += np.log(1.0 / len(authors_d)) + cts.dot(np.log(phinorm))
word_score += np.log(1.0 / len(authors_d)) * sum(cts) + cts.dot(np.log(phinorm))

# Compensate likelihood for when `chunk` above is only a sample of the whole corpus. This ensures
# that the likelihood is always rougly on the same scale.
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