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Posted to issues@spark.apache.org by "DB Tsai (JIRA)" <ji...@apache.org> on 2015/04/30 00:05:06 UTC

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

DB Tsai created SPARK-7262:
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             Summary: 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: Bug
          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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