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Posted to issues@spark.apache.org by "Xiangrui Meng (JIRA)" <ji...@apache.org> on 2014/11/19 00:58:34 UTC
[jira] [Resolved] (SPARK-4306) LogisticRegressionWithLBFGS support
for PySpark MLlib
[ https://issues.apache.org/jira/browse/SPARK-4306?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Xiangrui Meng resolved SPARK-4306.
----------------------------------
Resolution: Fixed
Fix Version/s: 1.2.0
Issue resolved by pull request 3307
[https://github.com/apache/spark/pull/3307]
> LogisticRegressionWithLBFGS support for PySpark MLlib
> ------------------------------------------------------
>
> Key: SPARK-4306
> URL: https://issues.apache.org/jira/browse/SPARK-4306
> Project: Spark
> Issue Type: New Feature
> Components: MLlib, PySpark
> Reporter: Varadharajan
> Assignee: Davies Liu
> Labels: newbie
> Fix For: 1.2.0
>
> Original Estimate: 48h
> Remaining Estimate: 48h
>
> Currently we are supporting LogisticRegressionWithSGD in the PySpark MLlib interfact. This task is to add support for LogisticRegressionWithLBFGS algorithm.
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