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