You are viewing a plain text version of this content. The canonical link for it is here.

Posted to issues@spark.apache.org by "Hyukjin Kwon (Jira)" <ji...@apache.org> on 2019/10/08 05:42:18 UTC

[jira] [Resolved] (SPARK-24473) It is no need to clip the predictive value by maxValue and minValue when computing gradient on SVDplusplus model

     [ https://issues.apache.org/jira/browse/SPARK-24473?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Hyukjin Kwon resolved SPARK-24473.
----------------------------------
    Resolution: Incomplete

> It is no need to clip the predictive value by maxValue and minValue when computing gradient on SVDplusplus model
> ----------------------------------------------------------------------------------------------------------------
>
>                 Key: SPARK-24473
>                 URL: https://issues.apache.org/jira/browse/SPARK-24473
>             Project: Spark
>          Issue Type: Bug
>          Components: GraphX
>    Affects Versions: 2.3.0
>            Reporter: caijianming
>            Priority: Major
>              Labels: bulk-closed
>
> I think it is no need to clip the predictive value. It will change the convex loss function to non-convex, which might have a bad influence on convergence.
> Other famous recommender systems and original paper also do not include this step.



--
This message was sent by Atlassian Jira
(v8.3.4#803005)

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