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