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Posted to issues@spark.apache.org by "Xiangrui Meng (JIRA)" <ji...@apache.org> on 2014/12/18 22:57:13 UTC

[jira] [Updated] (SPARK-4887) Fix a bad unittest in LogisticRegressionSuite

     [ https://issues.apache.org/jira/browse/SPARK-4887?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

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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