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From "Apache Spark (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (SPARK-21770) ProbabilisticClassificationModel: Improve normalization of all-zero raw predictions
Date Sat, 02 Sep 2017 04:25:02 GMT

    [ https://issues.apache.org/jira/browse/SPARK-21770?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16151404#comment-16151404
] 

Apache Spark commented on SPARK-21770:
--------------------------------------

User 'WeichenXu123' has created a pull request for this issue:
https://github.com/apache/spark/pull/19106

> 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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