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Posted to issues@spark.apache.org by "Yanbo Liang (JIRA)" <ji...@apache.org> on 2016/02/25 09:42:18 UTC
[jira] [Closed] (SPARK-13372) ML LogisticRegression behaves
incorrectly when standardization = false && regParam = 0.0
[ https://issues.apache.org/jira/browse/SPARK-13372?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Yanbo Liang closed SPARK-13372.
-------------------------------
Resolution: Not A Bug
> ML LogisticRegression behaves incorrectly when standardization = false && regParam = 0.0
> -----------------------------------------------------------------------------------------
>
> Key: SPARK-13372
> URL: https://issues.apache.org/jira/browse/SPARK-13372
> Project: Spark
> Issue Type: Bug
> Components: ML
> Reporter: Yanbo Liang
>
> At SPARK-8700 we implemented disable feature scaling by penalizing each component differently. But if users train model without penalizing(set regParam = 0.0), LogisticRegression with standardization = false will run the same route as standardization = true which is incorrect. This PR will fix this issue.
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