You are viewing a plain text version of this content. The canonical link for it is here.

Posted to issues@spark.apache.org by "Bryan Cutler (JIRA)" <ji...@apache.org> on 2015/10/06 23:07:26 UTC

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

Bryan Cutler created SPARK-10959:
------------------------------------

             Summary: 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
            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.



--
This message was sent by Atlassian JIRA
(v6.3.4#6332)

---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org