Github user hhbyyh commented on a diff in the pull request:
https://github.com/apache/spark/pull/17461#discussion_r135382461
--- Diff: docs/mllib-clustering.md ---
@@ -243,6 +243,9 @@ configuration), this parameter specifies the frequency
with which
checkpoints will be created. If `maxIterations` is large, using
checkpointing can help reduce shuffle file sizes on disk and help with
failure recovery.
+* `initialModel`: this parameter, only supported by `OnlineLDAOptimizer`,
+specifies a previously trained LDA model as a start point instead of
--- End diff --
previously trained LocalLDAModel
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