Github user jkbradley commented on a diff in the pull request: https://github.com/apache/spark/pull/6339#discussion_r35808990 --- Diff: mllib/src/main/scala/org/apache/spark/ml/feature/StringIndexer.scala --- @@ -151,4 +153,77 @@ 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 inverse + * should only be used on new columns such as predicted labels. + */ + def invert(inputCol: String, outputCol: String): StringIndexerInverseTransformer = { + val labelsCol: String = $(this.outputCol) + new StringIndexerInverseTransformer(labelsCol) + .setInputCol(inputCol) + .setOutputCol(outputCol) + } +} + +/** + * :: Experimental :: + * Transform a provided column back to the original input types using the metadata on the + * labelsCol. Note: By default we keep the original columns during this transformation, + * so the inverse should only be used on new columns such as predicted labels. + */ +@Experimental +class StringIndexerInverseTransformer private[ml] ( + override val uid: String, + val labelsCol: String) extends Transformer --- End diff -- I'd prefer using an array of labels since I could imagine users also using this transformer for other purposes, such as taking a UCI dataset and converting the categorical indices to strings based on the dataset description.
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