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https://issues.apache.org/jira/browse/SPARK-5956?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xiangrui Meng updated SPARK-5956:
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Priority: Blocker (was: Major)
> 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
> Priority: Blocker
>
> 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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