Hi, guys, I'm pretty new to LDA. I notice spark 1.3.0 mllib provide EM based LDA implementation. It returns both topics and topic distribution.
My question is how can I use these parameters to predict on new document ? And I notice there is an Online LDA implementation in spark master branch, it only returns topics , how can I use this to do prediction on new document (and trained document) ? thanks
