Github user akopich commented on the pull request:
https://github.com/apache/spark/pull/1269#issuecomment-67493934
How do you compare accuracy? Perplexity means nothing but perplexity --
topic models may be reliably compared only via application task (e.g.
classification, recommendation... ).
Should I add the dataset for "perplexity sanity check" to the repo? I am
about to use 1000 arxiv papers. This dataset is about 20 MB (5.5 MB zipped).
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