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From "Hector Yee (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (MAHOUT-702) Implement Online Passive Aggressive learner
Date Thu, 19 May 2011 01:14:47 GMT

    [ https://issues.apache.org/jira/browse/MAHOUT-702?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13035905#comment-13035905
] 

Hector Yee commented on MAHOUT-702:
-----------------------------------

For #1 I thought I made a copy but I guess its still a reference from the Java point of view.
I'll change it.

#2 sure I'll add a new unit test

It doesn't have regularization or annealing, the hinge loss just stops learning (gradient
= 0) if it gets things correct. I've just saved the ongoing best performer on a holdout set
in lieu of annealing the learning rate. I would prefer to do this and the auto-tuning in a
different patch if thats ok?

> Implement Online Passive Aggressive learner
> -------------------------------------------
>
>                 Key: MAHOUT-702
>                 URL: https://issues.apache.org/jira/browse/MAHOUT-702
>             Project: Mahout
>          Issue Type: New Feature
>          Components: Classification
>    Affects Versions: 0.6
>            Reporter: Hector Yee
>            Priority: Minor
>         Attachments: MAHOUT-702.patch
>
>   Original Estimate: 24h
>  Remaining Estimate: 24h
>
> Implements online passive aggressive learner that minimizes label ranking loss.

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