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Posted to issues@spark.apache.org by "Sean Owen (JIRA)" <ji...@apache.org> on 2017/08/18 06:04:00 UTC

[jira] [Commented] (SPARK-21770) ProbabilisticClassificationModel: Improve normalization of all-zero raw predictions

    [ https://issues.apache.org/jira/browse/SPARK-21770?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16131775#comment-16131775 ] 

Sean Owen commented on SPARK-21770:
-----------------------------------

What's the current behavior for the prediction? I feel like we established this behavior on purpose. 

If all 0 is the output it should not be modified. The question that matters is what is predicted. 

> 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



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