Github user holdenk commented on a diff in the pull request:
https://github.com/apache/spark/pull/6339#discussion_r35615265
--- Diff:
mllib/src/main/scala/org/apache/spark/ml/feature/StringIndexer.scala ---
@@ -151,4 +167,64 @@ class StringIndexerModel private[ml] (
val copied = new StringIndexerModel(uid, labels)
copyValues(copied, extra)
}
+
+ /**
+ * Return a model to perform the inverse transformation.
+ * Note: by default we keep the original columns during this
transformation
+ * so the invert should only be needed if you do something beyond simply
+ * applying the original transformation.
+ */
+ def invert(): StringIndexerInvertModel = {
+ new StringIndexerInvertModel(uid, labels)
--- End diff --
Oh wait reading the comment on the PR in addition to the line level
comment, this makes more sense. So I'd create new estimator entirely and not
depend on having an invert method on the string indexer.
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