You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@spark.apache.org by "Siddharth Murching (JIRA)" <ji...@apache.org> on 2017/08/18 01:13:02 UTC
[jira] [Updated] (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:all-tabpanel ]
Siddharth Murching updated SPARK-21770:
---------------------------------------
Description: Given an n-element raw prediction vector of all-zeros, ProbabilisticClassifierModel.normalizeToProbabilitiesInPlace() should output a probability vector of all-equal 1/n entries (was: Given a raw prediction vector of all-zeros, ProbabilisticClassifierModel.normalizeToProbabilitiesInPlace() should output a probability vector that predicts each class with equal probability (1 / numClasses).)
> 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-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org