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Posted to issues@spark.apache.org by "Xiangrui Meng (JIRA)" <ji...@apache.org> on 2015/10/08 00:56:26 UTC

[jira] [Updated] (SPARK-10959) PySpark StreamingLogisticRegressionWithSGD does not train with given regParam and convergenceTol parameters

     [ https://issues.apache.org/jira/browse/SPARK-10959?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Xiangrui Meng updated SPARK-10959:
----------------------------------
    Assignee: Bryan Cutler

> PySpark StreamingLogisticRegressionWithSGD does not train with given regParam and convergenceTol parameters
> -----------------------------------------------------------------------------------------------------------
>
>                 Key: SPARK-10959
>                 URL: https://issues.apache.org/jira/browse/SPARK-10959
>             Project: Spark
>          Issue Type: Bug
>          Components: PySpark
>    Affects Versions: 1.5.1
>            Reporter: Bryan Cutler
>            Assignee: Bryan Cutler
>            Priority: Critical
>
> These parameters are passed into the StreamingLogisticRegressionWithSGD constructor, but do not get transferred to the model to use when training.  Same problem with StreamingLinearRegressionWithSGD and the intercept param is in the wrong  argument place where it is being used as regularization value.



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