Github user feynmanliang commented on a diff in the pull request:
https://github.com/apache/spark/pull/7266#discussion_r34209405
--- Diff:
mllib/src/main/scala/org/apache/spark/ml/feature/StringIndexer.scala ---
@@ -65,12 +66,15 @@ class StringIndexer(override val uid: String) extends
Estimator[StringIndexerMod
def this() = this(Identifiable.randomUID("strIdx"))
/** @group setParam */
+ def setSkipInvalid(value: Boolean): this.type = set(skipInvalid, value)
--- End diff --
Do you have a specific example in mind?
My suggestion was because `SkipInvalid` has nothing to do with the fitting
routine itself; rather, it affects how the model is evaluated.
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