You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@spark.apache.org by "Weichen Xu (JIRA)" <ji...@apache.org> on 2017/09/14 07:08:00 UTC

[jira] [Commented] (SPARK-22004) CrossValidator, TrainValidationSplit dump sub models to disk when fitting: Scala API

    [ https://issues.apache.org/jira/browse/SPARK-22004?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16165853#comment-16165853 ] 

Weichen Xu commented on SPARK-22004:
------------------------------------

I will create PR once SPARK-21086 merged.

> CrossValidator, TrainValidationSplit dump sub models to disk when fitting: Scala API
> ------------------------------------------------------------------------------------
>
>                 Key: SPARK-22004
>                 URL: https://issues.apache.org/jira/browse/SPARK-22004
>             Project: Spark
>          Issue Type: Sub-task
>          Components: ML
>    Affects Versions: 2.3.0
>            Reporter: Weichen Xu
>
> 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



--
This message was sent by Atlassian JIRA
(v6.4.14#64029)

---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org