Github user felixcheung commented on a diff in the pull request:
https://github.com/apache/spark/pull/16464#discussion_r94716683
--- Diff: mllib/src/main/scala/org/apache/spark/ml/r/LDAWrapper.scala ---
@@ -172,6 +187,8 @@ private[r] object LDAWrapper extends
MLReadable[LDAWrapper] {
model,
ldaModel.logLikelihood(preprocessedData),
ldaModel.logPerplexity(preprocessedData),
+ trainingLogLikelihood,
+ logPrior,
--- End diff --
since model is referenced and persisted, is there a need to handle
trainingLogLikelihood and logPrior separately like this, and writing to
metadata, instead of just getting from the model when fetching for the summary?
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