[ 
https://issues.apache.org/jira/browse/SPARK-21770?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16138211#comment-16138211
 ] 

Yanbo Liang commented on SPARK-21770:
-------------------------------------

I think we are talking about the same thing, change probability prediction from 
[0.0, 0.0, 0.0, 0.0] to [0.25, 0.25, 0.25, 0.25], right?

> ProbabilisticClassificationModel: Improve normalization of all-zero raw 
> predictions
> -----------------------------------------------------------------------------------
>
>                 Key: SPARK-21770
>                 URL: https://issues.apache.org/jira/browse/SPARK-21770
>             Project: Spark
>          Issue Type: Improvement
>          Components: ML
>    Affects Versions: 2.3.0
>            Reporter: Siddharth Murching
>            Priority: Minor
>
> Given an n-element raw prediction vector of all-zeros, 
> ProbabilisticClassifierModel.normalizeToProbabilitiesInPlace() should output 
> a probability vector of all-equal 1/n entries



--
This message was sent by Atlassian JIRA
(v6.4.14#64029)

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

Reply via email to