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Posted to issues@spark.apache.org by "Hyukjin Kwon (JIRA)" <ji...@apache.org> on 2019/05/21 04:04:41 UTC

[jira] [Updated] (SPARK-3255) Faster algorithms for logistic regression

     [ https://issues.apache.org/jira/browse/SPARK-3255?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Hyukjin Kwon updated SPARK-3255:
--------------------------------
    Labels: bulk-closed  (was: )

> Faster algorithms for logistic regression
> -----------------------------------------
>
>                 Key: SPARK-3255
>                 URL: https://issues.apache.org/jira/browse/SPARK-3255
>             Project: Spark
>          Issue Type: Brainstorming
>          Components: MLlib
>            Reporter: Xiangrui Meng
>            Priority: Major
>              Labels: bulk-closed
>
> Logistic regression is perhaps the most widely used classification algorithm in industry. We are looking for faster and scalable algorithms for MLlib. We currently have LogisticRegressionWithLBFGS, and the LIBLINEAR group implemented Spark LIBLINEAR: http://www.csie.ntu.edu.tw/~cjlin/libsvmtools/distributed-liblinear/spark/running_spark_liblinear.html
> Welcome to join the discussion and add more candidates.



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