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https://issues.apache.org/jira/browse/SPARK-4887?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xiangrui Meng updated SPARK-4887:
---------------------------------
    Assignee: DB Tsai

> Fix a bad unittest in LogisticRegressionSuite
> ---------------------------------------------
>
>                 Key: SPARK-4887
>                 URL: https://issues.apache.org/jira/browse/SPARK-4887
>             Project: Spark
>          Issue Type: Bug
>          Components: MLlib
>            Reporter: DB Tsai
>            Assignee: DB Tsai
>             Fix For: 1.3.0
>
>
> The original test doesn't make sense since if you step in, the lossSum 
> already NaN, and the coefficients are diverging. That's because the step size 
> is too large for SGD, so it doesn't work. The correct behavior is that you 
> should get smaller coefficients than the one without regularization. 
> Comparing the values using 20000.0 relative error doesn't make sense as well. 



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