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