zero323 commented on issue #27241: [SPARK-30533][ML][PYSPARK] Add classes to represent Java Regressors and RegressionModels URL: https://github.com/apache/spark/pull/27241#issuecomment-575582976 > The Regressor class is basically empty and I am not sure if we should add another layer of abstraction, so I chose not to add Regressor/Regressor class on python side when I did #27168. But I know you can argue that we need change python too to keep the parity between scala and python. I am OK either way. I am actually not that interested in parity (as it is right now it provides little or no value to the end user, inflates `pyspark.ml` codebase, and actually increases effort required to maintain the whole thing) as much as practical value. As I argued in discussion around https://github.com/apache/spark/pull/25776#issuecomment-533488999 ability to distinguish between types of predictors is fundamental for building complex ML workflows, and current API is not sufficient to that (`Classifiers` and non classifier `Predictors` usually have the same API, and produce identical output schema). > the Regressor class is basically empty I am afraid that's, for good or bad, argument you can make against significant chunk of the API.
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