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Posted to issues@spark.apache.org by "Hyukjin Kwon (JIRA)" <ji...@apache.org> on 2019/05/21 04:02:29 UTC

[jira] [Updated] (SPARK-5844) Optimize Pipeline.fit for ParamGrid

     [ https://issues.apache.org/jira/browse/SPARK-5844?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Hyukjin Kwon updated SPARK-5844:
--------------------------------
    Labels: bulk-closed  (was: )

> Optimize Pipeline.fit for ParamGrid
> -----------------------------------
>
>                 Key: SPARK-5844
>                 URL: https://issues.apache.org/jira/browse/SPARK-5844
>             Project: Spark
>          Issue Type: Improvement
>          Components: ML
>    Affects Versions: 1.3.0
>            Reporter: Joseph K. Bradley
>            Priority: Major
>              Labels: bulk-closed
>
> This issue was brought up by [~prudenko] in [this JIRA | https://issues.apache.org/jira/browse/SPARK-4766].
> **Proposal**:
> When Pipeline.fit is given an array of ParamMaps, it should operate incrementally:
> * For each set of parameters applicable to the first PipelineStage,
> ** Fit/transform that stage using that set of parameters.
> ** For each set of parameters applicable to the second PipelineStage,
> *** etc.
> This is essentially a depth-first search on the parameters, where each node/level in the search tree is a PipelineStage and each node's child nodes correspond to the set of ParamMaps for that PipelineStage.
> This will avoid recomputing intermediate RDDs during model search.



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