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Posted to issues@spark.apache.org by "caijianming (JIRA)" <ji...@apache.org> on 2018/06/06 09:13:00 UTC

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

caijianming created SPARK-24473:
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             Summary: 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


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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