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Posted to issues@spark.apache.org by "DB Tsai (JIRA)" <ji...@apache.org> on 2015/04/30 00:06:07 UTC

[jira] [Updated] (SPARK-7262) LogisticRegression with L1/L2 (elastic net) using OWLQN in new ML package

     [ https://issues.apache.org/jira/browse/SPARK-7262?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

DB Tsai updated SPARK-7262:
---------------------------
    Issue Type: New Feature  (was: Bug)

> LogisticRegression with L1/L2 (elastic net) using OWLQN in new ML package
> -------------------------------------------------------------------------
>
>                 Key: SPARK-7262
>                 URL: https://issues.apache.org/jira/browse/SPARK-7262
>             Project: Spark
>          Issue Type: New Feature
>          Components: ML
>            Reporter: DB Tsai
>
> 1) Handle scaling and addBias internally. 
> 2) L1/L2 elasticnet using OWLQN optimizer.
> 3) Initial weights should be computed from prior probabilities. 
> 4) Ideally supports multinomial version in this PR. It will depend if ML api support multi-class classification. 



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