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https://issues.apache.org/jira/browse/SPARK-5956?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14522235#comment-14522235
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Apache Spark commented on SPARK-5956:
-------------------------------------

User 'mengxr' has created a pull request for this issue:
https://github.com/apache/spark/pull/5820

> Transformer/Estimator should be copyable.
> -----------------------------------------
>
>                 Key: SPARK-5956
>                 URL: https://issues.apache.org/jira/browse/SPARK-5956
>             Project: Spark
>          Issue Type: Sub-task
>          Components: ML
>    Affects Versions: 1.3.0
>            Reporter: Xiangrui Meng
>            Assignee: Xiangrui Meng
>
> In a pipeline, we don't save additional params specified in `fit()` to 
> transformers, because we should not modify them. The current solution is to 
> store training parameters in the pipeline model and apply those parameters at 
> `transform()`. A better solution would be making transformers copyable. 
> Calling `.copy` on a transformer produces a new transformer with a different 
> UID but same parameters. Then we can use the copied transformers in the 
> pipeline model, with additional params stored.
> `copy` may not be a good name because it is not an exact copy.



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