Github user mpjlu commented on a diff in the pull request:
https://github.com/apache/spark/pull/19337#discussion_r143723408
--- Diff:
mllib/src/main/scala/org/apache/spark/mllib/clustering/LDAOptimizer.scala ---
@@ -573,7 +584,8 @@ private[clustering] object OnlineLDAOptimizer {
expElogbeta: BDM[Double],
alpha: breeze.linalg.Vector[Double],
gammaShape: Double,
- k: Int): (BDV[Double], BDM[Double], List[Int]) = {
+ k: Int,
+ epsilon: Double = 1e-3): (BDV[Double], BDM[Double], List[Int]) = {
--- End diff --
Maybe not need to set, we can add epsilon as a parameter in the model to
save it. Because most of training parameters are not in the model, so we don't
add epsilon to the model here. Thanks.
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