[jira] [Resolved] (SPARK-19071) Optimizations for ML Pipeline Tuning

["Hyukjin Kwon (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-19071?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Hyukjin Kwon resolved SPARK-19071.
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    Resolution: Incomplete

> Optimizations for ML Pipeline Tuning
> ------------------------------------
>
>                 Key: SPARK-19071
>                 URL: https://issues.apache.org/jira/browse/SPARK-19071
>             Project: Spark
>          Issue Type: Improvement
>          Components: ML
>            Reporter: Bryan Cutler
>            Priority: Major
>              Labels: bulk-closed
>
> This is a parent task to plan the addition of optimizations in ML tuning for parallel model evaluation and more efficiency with pipelines.  They will benefit Crossvalidator and TrainValidationSplit when performing a parameter grid search.  The proposal can be broken into 3 steps in order of simplicity:
> 1. Add ability to evaluate models in parallel.
> 2. Optimize param grid for pipelines, as described in SPARK-5844
> 3. Add parallel model evaluation to the optimized pipelines from step 2
> See the linked design document for details on the proposed implementation.



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