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https://issues.apache.org/jira/browse/SPARK-19357?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-19357:
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Assignee: Apache Spark
> Parallel Model Evaluation for ML Tuning
> ---------------------------------------
>
> Key: SPARK-19357
> URL: https://issues.apache.org/jira/browse/SPARK-19357
> Project: Spark
> Issue Type: Sub-task
> Components: ML
> Reporter: Bryan Cutler
> Assignee: Apache Spark
>
> This is a first step of the parent task of Optimizations for ML Pipeline
> Tuning to perform model evaluation in parallel. A simple approach is to
> naively evaluate with a possible parameter to control the level of
> parallelism. There are some concerns with this:
> * excessive caching of datasets
> * what to set as the default value for level of parallelism. 1 will evaluate
> all models in serial, as is done currently. Higher values could lead to
> excessive caching.
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