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Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2017/11/01 13:51:00 UTC
[jira] [Assigned] (SPARK-21088) CrossValidator,
TrainValidationSplit should collect all models when fitting: Python API
[ https://issues.apache.org/jira/browse/SPARK-21088?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Apache Spark reassigned SPARK-21088:
------------------------------------
Assignee: (was: Apache Spark)
> CrossValidator, TrainValidationSplit should collect all models when fitting: Python API
> ---------------------------------------------------------------------------------------
>
> Key: SPARK-21088
> URL: https://issues.apache.org/jira/browse/SPARK-21088
> Project: Spark
> Issue Type: Sub-task
> Components: ML, PySpark
> Affects Versions: 2.2.0
> Reporter: Joseph K. Bradley
> Priority: Major
>
> In pyspark:
> 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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