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Posted to reviews@spark.apache.org by GitBox <gi...@apache.org> on 2018/12/17 14:08:19 UTC

[GitHub] HyukjinKwon edited a comment on issue #23263: [SPARK-23674][ML] Adds Spark ML Events to Pipeline

HyukjinKwon edited a comment on issue #23263: [SPARK-23674][ML] Adds Spark ML Events to Pipeline
URL: https://github.com/apache/spark/pull/23263#issuecomment-447856497
 
 
   Yes .. that's what I wanted to do and the previous change is really what it needs as is ..
   
   I can go back to the previous change. I can simply checkout, pickup commit and rebase stuff. I can't think of other better way than that..
   
   I can also leave all the changes to estimator's fit(), transform(), etc. (like the original patch ) and don't change other classes implementing fitImpl, transformImpl, etc. except Pipeline class to reduce change.
   
   I am not sure which one is easiest way for you guys to take a look.

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