Merge pull request piskvorky#456 from tmylk/develop

LDA: initialisation of expElogbeta fixed

Author: tmylk

gensim/models/ldamodel.py

@@ -308,7 +308,7 @@ def __init__(self, corpus=None, num_topics=100, id2word=None,
         # Initialize the variational distribution q(beta|lambda)
         self.state = LdaState(self.eta, (self.num_topics, self.num_terms))
         self.state.sstats = numpy.random.gamma(100., 1. / 100., (self.num_topics, self.num_terms))
-        self.sync_state()
+        self.expElogbeta = numpy.exp(dirichlet_expectation(self.state.sstats))
 
         # if a training corpus was provided, start estimating the model right away
         if corpus is not None: