Github user jkbradley commented on a diff in the pull request:
https://github.com/apache/spark/pull/12166#discussion_r58582132
--- Diff: mllib/src/main/scala/org/apache/spark/ml/clustering/LDA.scala ---
@@ -758,6 +816,10 @@ class LDA @Since("1.6.0") (
@Since("1.6.0")
def setOptimizeDocConcentration(value: Boolean): this.type =
set(optimizeDocConcentration, value)
+ /** @group expertSetParam */
+ @Since("2.0.0")
+ def setKeepLastCheckpoint(value: Boolean): this.type =
set(keepLastCheckpoint, value)
+
--- End diff --
I don't think so. Once there is a model, the decision about keeping the
last checkpoint has already been made. Users can manage the checkpoint via the
deletion method though.
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