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Posted to issues@spark.apache.org by "Weichen Xu (JIRA)" <ji...@apache.org> on 2017/09/14 07:10:00 UTC
[jira] [Updated] (SPARK-21087) CrossValidator, TrainValidationSplit
should collect all models when fitting: Scala API
[ https://issues.apache.org/jira/browse/SPARK-21087?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Weichen Xu updated SPARK-21087:
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Summary: CrossValidator, TrainValidationSplit should collect all models when fitting: Scala API (was: CrossValidator, TrainValidationSplit should preserve all models after fitting: Scala API)
> CrossValidator, TrainValidationSplit should collect all models when fitting: Scala API
> --------------------------------------------------------------------------------------
>
> Key: SPARK-21087
> URL: https://issues.apache.org/jira/browse/SPARK-21087
> Project: Spark
> Issue Type: Sub-task
> Components: ML
> Affects Versions: 2.2.0
> Reporter: Joseph K. Bradley
>
> We add a parameter whether to collect the full model list when CrossValidator/TrainValidationSplit training (Default is NOT, avoid the change cause OOM)
> Add a method in CrossValidatorModel/TrainValidationSplitModel, allow user to get the model list
> CrossValidatorModelWriter add a “option”, allow user to control whether to persist the model list to disk.
> Note: when persisting the model list, use indices as the sub-model path
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