Zhao,
Mahout is not just for hadoop-based implementations. We are interested in
"scalable
machine learning" - we currently have *no* SVM implementations in Mahout,
and would
welcome an easy simple straightforward SVM, and would find something like
the original
Pegasos implemented in our APIs also an excellent addition.
If at some point we added a fully parallelized hadoop-based Pegasos, that
would be
great, sure, but we don't require everything contributed to Mahout to run on
Hadoop.
Currently quite a bit of our libraries have nothing parallel about them yet,
but they are
all aimed to be able to scale to large data sets.
Does this make sense?
-jake
On Mon, Dec 21, 2009 at 9:21 PM, zhao zhendong <zhaozhend...@gmail.com>wrote:
> {quote}
> k = 1
> Otherwise as in the Pegasos article. No parallelism.
> {quote}
>
> I confused. As the consequence, what is the motivation behind integrating
> the Pegasos into Mahout.
>
> Can you estimate that in which situation, this implementation can
> outperform
> the original Pegasos? Large-scale data set or any other concern?
>
> With this implementation, how can we take advantage of Map-reduce
> framework?
>
>
> On Tue, Dec 22, 2009 at 12:44 PM, Ted Dunning (JIRA) <j...@apache.org
> >wrote:
>
> >
> > [
> >
> https://issues.apache.org/jira/browse/MAHOUT-227?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=12793497#action_12793497
> ]
> >
> > Ted Dunning commented on MAHOUT-227:
> > ------------------------------------
> >
> > {quote}
> > Can you specify this sequential implementation?
> > {quote}
> >
> > k = 1
> >
> > Otherwise as in the Pegasos article.
> >
> >
> > > Parallel SVM
> > > ------------
> > >
> > > Key: MAHOUT-227
> > > URL: https://issues.apache.org/jira/browse/MAHOUT-227
> > > Project: Mahout
> > > Issue Type: Task
> > > Components: Classification
> > > Reporter: zhao zhendong
> > > Attachments: ParallelPegasos.doc, ParallelPegasos.pdf
> > >
> > >
> > > I wrote a proposal of parallel algorithm for SVM training. Any comment
> is
> > welcome.
> >
> > --
> > This message is automatically generated by JIRA.
> > -
> > You can reply to this email to add a comment to the issue online.
> >
> >
>
>
> --
> -------------------------------------------------------------
>
> Zhen-Dong Zhao (Maxim)
>
> <><<><><><><><><><>><><><><><>>>>>>
>
> Department of Computer Science
> School of Computing
> National University of Singapore
>
> ><><><><><><><><><><><><><><><><<<<
> Homepage:http://zhaozhendong.googlepages.com
> Mail: zhaozhend...@gmail.com
> >>>>>>><><><><><><><><<><>><><<<<<<
>
