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https://issues.apache.org/jira/browse/MAHOUT-228?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=12802106#action_12802106
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Ted Dunning commented on MAHOUT-228:
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{quote}
make sure that L1 is sparsity inducing my apply eager post update regularization
{quote}
Are you sure that this is correct? The lazy regularization update should be
applied before any coefficient is used for prediction or for update. Is eager
regularization after the update necessary?
> Need sequential logistic regression implementation using SGD techniques
> -----------------------------------------------------------------------
>
> Key: MAHOUT-228
> URL: https://issues.apache.org/jira/browse/MAHOUT-228
> Project: Mahout
> Issue Type: New Feature
> Components: Classification
> Reporter: Ted Dunning
> Fix For: 0.3
>
> Attachments: logP.csv, MAHOUT-228-3.patch, r.csv, sgd-derivation.pdf,
> sgd-derivation.tex, sgd.csv
>
>
> Stochastic gradient descent (SGD) is often fast enough for highly scalable
> learning (see Vowpal Wabbit, http://hunch.net/~vw/).
> I often need to have a logistic regression in Java as well, so that is a
> reasonable place to start.
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