Github user feynmanliang commented on a diff in the pull request:
https://github.com/apache/spark/pull/9722#discussion_r45207331
--- Diff: docs/ml-clustering.md ---
@@ -0,0 +1,25 @@
+---
+layout: global
+title: Clustering - ML
+displayTitle: <a href="ml-guide.html">ML</a> - Clustering
+---
+
+In `spark.ml`, we implement the corresponding pipeline API for
+[clustering in mllib](mllib-clustering.html).
+
+## Latent Dirichlet allocation (LDA)
+
+`LDA` is implemented as an Estimator that supports both `EMLDAOptimizer`
and `OnlineLDAOptimizer`,
+and generates `LocalLDAModel` and `DistributedLDAModel` respectively, as
the base models.
--- End diff --
This isn't true; `LDA` generates a `LDAModel` which is the superclass of
wrappers to the two `mllib` classes. I would just say "generates a `LDAModel`".
We can also mention that expert users may cast a `LDAModel` generated by
`EMLDAOptimizer` to a `DistributedLDAModel` if needed.
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