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https://issues.apache.org/jira/browse/MAHOUT-716?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Hector Yee updated MAHOUT-716:
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Status: Patch Available (was: Open)
Implement boosting with decision stumps trained by Gradboost. For technical
details see "Boosting with structural sparsity" by Duchi and Singer.
> Implement Boosting
> ------------------
>
> Key: MAHOUT-716
> URL: https://issues.apache.org/jira/browse/MAHOUT-716
> Project: Mahout
> Issue Type: New Feature
> Components: Classification
> Affects Versions: 0.6
> Reporter: Hector Yee
> Priority: Minor
> Labels: features
> Original Estimate: 72h
> Remaining Estimate: 72h
>
> Implement boosting (grad boost variant) with l1-regularization and induction.
> The gradient part is scalable and parallel and the induction part allows
> stochastic hypothesis generation for speed.
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