I like using the new DataFrame APIs on Spark ML, compared to using RDDs in
the older SparkMLlib.  But it seems some of the older APIs are missing.  In
particular, '*.mllib.clustering.DistributedLDAModel' had two APIs that I
need now:

topDocumentsPerTopic
topTopicsPerDocument

How can I get at the same results using the APIs on
'*.ml.clustering.DistributedLDAModel'?



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