[jira] [Resolved] (SPARK-12908) Add tests to make sure that ml.classification.LogisticRegression returns meaningful result when labels are the same without intercept

["DB Tsai (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-12908?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

DB Tsai resolved SPARK-12908.
-----------------------------
       Resolution: Fixed
    Fix Version/s: 2.0.0

Issue resolved by pull request 10862
[https://github.com/apache/spark/pull/10862]

> Add tests to make sure that ml.classification.LogisticRegression returns meaningful result when labels are the same without intercept
> -------------------------------------------------------------------------------------------------------------------------------------
>
>                 Key: SPARK-12908
>                 URL: https://issues.apache.org/jira/browse/SPARK-12908
>             Project: Spark
>          Issue Type: Improvement
>          Components: ML
>    Affects Versions: 1.6.0
>            Reporter: DB Tsai
>            Assignee: DB Tsai
>             Fix For: 2.0.0
>
>
> This will be only adding new tests as followup PR to https://github.com/apache/spark/pull/10743
> When all labels are the same, it's a dangerous ground for LogisticRegression without intercept to converge. GLMNET doesn't support this case, and will just exit. GLM can train, but will have a warning message saying the algorithm doesn't converge.



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