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

["Guoqiang Li (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-4530?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Guoqiang Li updated SPARK-4530:
-------------------------------
    Priority: Blocker  (was: Major)

> 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
>            Priority: Blocker
>
> This bug is caused by {{RDD.sample}}
> The number of  {{RDD.sample}}  returns is not fixed.



--
This message was sent by Atlassian JIRA
(v6.3.4#6332)

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