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