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https://issues.apache.org/jira/browse/SPARK-22005?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Hyukjin Kwon resolved SPARK-22005.
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Resolution: Incomplete
> CrossValidator, TrainValidationSplit dump sub models to disk when fitting:
> Python API
> --------------------------------------------------------------------------------------
>
> Key: SPARK-22005
> URL: https://issues.apache.org/jira/browse/SPARK-22005
> Project: Spark
> Issue Type: Sub-task
> Components: ML
> Affects Versions: 2.3.0
> Reporter: Weichen Xu
> Priority: Major
> Labels: bulk-closed
>
> In pyspark:
> We add a parameter indicating whether to persist models to disk during
> training (default = off). This will use ML persistence to dump models to a
> directory so they are available later but do not consume memory.
> Note: when persisting the model list, use indices as the sub-model path
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