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From "DB Tsai (JIRA)" <j...@apache.org>
Subject [jira] [Updated] (SPARK-7262) Binary LogisticRegression with L1/L2 (elastic net) using OWLQN in new ML package
Date Thu, 07 May 2015 05:55:59 GMT

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

DB Tsai updated SPARK-7262:
---------------------------
    Description: 
1) Handle scaling and addBias internally. 
2) L1/L2 elasticnet using OWLQN optimizer.

  was:
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. 


> Binary 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.



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