Github user wangmiao1981 commented on a diff in the pull request:
https://github.com/apache/spark/pull/16464#discussion_r94721880
--- 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 --
The first version, I got them from the model in the `LDAWrapper` class.
However, when I read `logPrior`, I found that the loaded `logPrior` is not the
same as the value before save. So, I followed the logLikelihood and
logPerplexity to save it in the metadata.
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