Github user wangmiao1981 commented on a diff in the pull request:
https://github.com/apache/spark/pull/16491#discussion_r95045854
--- Diff:
mllib/src/test/scala/org/apache/spark/ml/clustering/LDASuite.scala ---
@@ -260,6 +260,14 @@ class LDASuite extends SparkFunSuite with
MLlibTestSparkContext with DefaultRead
Vectors.dense(model2.topicsMatrix.toArray) absTol 1e-6)
assert(Vectors.dense(model.getDocConcentration) ~==
Vectors.dense(model2.getDocConcentration) absTol 1e-6)
+ val logPrior = model.asInstanceOf[DistributedLDAModel].logPrior
+ val logPrior2 = model2.asInstanceOf[DistributedLDAModel].logPrior
+ val trainingLogLikelihood =
+ model.asInstanceOf[DistributedLDAModel].trainingLogLikelihood
+ val trainingLogLikelihood2 =
+ model2.asInstanceOf[DistributedLDAModel].trainingLogLikelihood
+ assert(logPrior ~== logPrior2 absTol 1e-6)
+ assert(trainingLogLikelihood ~== trainingLogLikelihood2 absTol 1e-6)
--- End diff --
`LocalLDAModel` doesn't extend `DistributedLDAModel` and vice versa. I am
not clear how to check `trainingLogLikelihood ` and `logPrior` in
`LocalLDAModel`.
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