[jira] [Commented] (SPARK-4530) GradientDescent get a wrong gradient value according to the gradient formula, which is caused by the miniBatchSize parameter.

["Xiangrui Meng (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/SPARK-4530?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14224312#comment-14224312 ] 

Xiangrui Meng commented on SPARK-4530:
--------------------------------------

PR: https://github.com/apache/spark/pull/3399

> GradientDescent get a wrong gradient value according to the gradient formula, which is caused by the miniBatchSize parameter.
> -----------------------------------------------------------------------------------------------------------------------------
>
>                 Key: SPARK-4530
>                 URL: https://issues.apache.org/jira/browse/SPARK-4530
>             Project: Spark
>          Issue Type: Bug
>          Components: MLlib
>    Affects Versions: 1.0.0, 1.1.0, 1.2.0
>            Reporter: Guoqiang Li
>            Assignee: Guoqiang Li
>            Priority: Minor
>             Fix For: 1.2.0
>
>
> This bug is caused by {{RDD.sample}}
> The number of  {{RDD.sample}}  returns is not fixed.



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