Github user MLnick commented on a diff in the pull request:
https://github.com/apache/spark/pull/18281#discussion_r128453820
--- Diff:
mllib/src/main/scala/org/apache/spark/ml/classification/OneVsRest.scala ---
@@ -294,6 +296,18 @@ final class OneVsRest @Since("1.4.0") (
@Since("1.5.0")
def setPredictionCol(value: String): this.type = set(predictionCol,
value)
+ /** @group expertGetParam */
+ override def getParallelism: Int = $(parallelism)
+
+ /**
+ * @group expertSetParam
+ * The implementation of parallel one vs. rest runs the classification
for
--- End diff --
This doc could be a bit better - something like "Set the number of threads
used to fit the model for each class in parallel. Default is 1 (fit all models
serially)." or similar
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