[jira] [Resolved] (SPARK-12230) WeightedLeastSquares.fit() should handle division by zero properly if standard deviation of target variable is zero.

["Xiangrui Meng (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-12230?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Xiangrui Meng resolved SPARK-12230.
-----------------------------------
       Resolution: Fixed
    Fix Version/s: 2.0.0

Issue resolved by pull request 10274
[https://github.com/apache/spark/pull/10274]

> WeightedLeastSquares.fit() should handle division by zero properly if standard deviation of target variable is zero.
> --------------------------------------------------------------------------------------------------------------------
>
>                 Key: SPARK-12230
>                 URL: https://issues.apache.org/jira/browse/SPARK-12230
>             Project: Spark
>          Issue Type: Bug
>          Components: ML
>            Reporter: Imran Younus
>            Priority: Trivial
>             Fix For: 2.0.0
>
>
> This is a TODO in WeightedLeastSquares.fit() method. If the standard deviation of the target variablel is zero, then the regression is meaningless. I think the fit() method should inform the user and exit nicely.



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