Hi Markus,
I find that in current LDA implementation we included
"E[log p(beta | eta) - log q (beta | lambda)]" in the approx bound function
and use it to calculate perplexity.
But this part was not included in the likelihood function in Blei's C
implementation.
Maybe this caused some difference.
Hi Markus,
I tried your code and find the issue might be there are only 18 docs
in the Gutenberg
corpus.
if you print out transformed doc topic distribution, you will see a lot of
topics are not used.
And since there is no words assigned to those topics, the weights will be
equal to`topic_word_pri
