Github user srowen commented on a diff in the pull request: https://github.com/apache/spark/pull/19084#discussion_r195429701 --- Diff: mllib/src/main/scala/org/apache/spark/ml/feature/MinMaxScaler.scala --- @@ -117,11 +113,56 @@ class MinMaxScaler @Since("1.5.0") (@Since("1.5.0") override val uid: String) @Since("2.0.0") override def fit(dataset: Dataset[_]): MinMaxScalerModel = { transformSchema(dataset.schema, logging = true) - val input: RDD[OldVector] = dataset.select($(inputCol)).rdd.map { - case Row(v: Vector) => OldVectors.fromML(v) + --- End diff -- Rather than copy all that code, I wonder if that utility class can just be modified to selectively handle NaN differently?
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