You are viewing a plain text version of this content. The canonical link for it is here.

Posted to issues@spark.apache.org by "zhengruifeng (Jira)" <ji...@apache.org> on 2019/10/18 09:59:00 UTC

[jira] [Assigned] (SPARK-29489) ml.evaluation support log-loss

     [ https://issues.apache.org/jira/browse/SPARK-29489?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

zhengruifeng reassigned SPARK-29489:
------------------------------------

    Assignee: zhengruifeng

> ml.evaluation support log-loss
> ------------------------------
>
>                 Key: SPARK-29489
>                 URL: https://issues.apache.org/jira/browse/SPARK-29489
>             Project: Spark
>          Issue Type: New Feature
>          Components: ML, PySpark
>    Affects Versions: 3.0.0
>            Reporter: zhengruifeng
>            Assignee: zhengruifeng
>            Priority: Major
>
> {color:#5a6e5a}log-loss (aka logistic loss or cross-entropy loss) is one of the most widely used metrics in classification tasks. It is already impled in famous libraries like sklearn.
> {color}
> {color:#5a6e5a}However, it is missing so far.
> {color}



--
This message was sent by Atlassian Jira
(v8.3.4#803005)

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