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Posted to issues@spark.apache.org by "Xiangrui Meng (JIRA)" <ji...@apache.org> on 2015/05/04 20:30:06 UTC
[jira] [Resolved] (SPARK-5956) Transformer/Estimator should be
copyable.
[ https://issues.apache.org/jira/browse/SPARK-5956?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Xiangrui Meng resolved SPARK-5956.
----------------------------------
Resolution: Fixed
Fix Version/s: 1.4.0
Issue resolved by pull request 5820
[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
> Priority: Blocker
> Fix For: 1.4.0
>
>
> 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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