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https://issues.apache.org/jira/browse/SPARK-19071?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15836957#comment-15836957
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Bryan Cutler commented on SPARK-19071:
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Thanks for the comments [~josephkb] and [~mlnick]. I'll start by opening a
JIRA for the naive approach in step 1 and submit the PR I have. There we can
discuss the issues of how to handle the default parallelism and caching.
> 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
>
> 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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