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