[ https://issues.apache.org/jira/browse/SPARK-10959?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Sean Owen updated SPARK-10959: ------------------------------ Labels: backport-needed (was: ) > 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 > Labels: backport-needed > Fix For: 1.6.0 > > > 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-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org