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From "Apache Spark (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (SPARK-21088) CrossValidator, TrainValidationSplit should collect all models when fitting: Python API
Date Wed, 01 Nov 2017 13:51:00 GMT

    [ https://issues.apache.org/jira/browse/SPARK-21088?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16234087#comment-16234087
] 

Apache Spark commented on SPARK-21088:
--------------------------------------

User 'WeichenXu123' has created a pull request for this issue:
https://github.com/apache/spark/pull/19627

> 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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