Github user mengxr commented on the pull request:
https://github.com/apache/spark/pull/6039#issuecomment-101396078
@hhbyyh The pipeline API is a better place for feature transformers. It
would be nice if you can implement `MinMaxScaler` under `spark.ml` using the
pipeline API. Instead of `scale` and `newBase`, it would be easier for users to
specify `min` and `max` after scaling, which is similar to what sklearn has.
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