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Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2017/01/03 12:39:58 UTC

[jira] [Assigned] (SPARK-19057) Instances' weight must be non-negative

     [ https://issues.apache.org/jira/browse/SPARK-19057?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Apache Spark reassigned SPARK-19057:
------------------------------------

    Assignee: Apache Spark

> Instances' weight must be non-negative
> --------------------------------------
>
>                 Key: SPARK-19057
>                 URL: https://issues.apache.org/jira/browse/SPARK-19057
>             Project: Spark
>          Issue Type: Improvement
>          Components: ML
>            Reporter: zhengruifeng
>            Assignee: Apache Spark
>            Priority: Trivial
>
> It looks like that negative-weighted instances make no sense and can cause divergence in ml algs.



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