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From Rahul Iyer <ri...@pivotal.io>
Subject Re: Contributing GMM and Perceptron to MADLib
Date Mon, 28 Mar 2016 23:54:04 GMT
@Frank, Roman: I believe Aditya needs to be added as a developer to the
MADlib project to assign a JIRA to him? Is this only available to the
lead/owner?

On Mon, Mar 28, 2016 at 3:49 PM, Aditya Nain <adityanain1@gmail.com> wrote:

> Hi Rahul,
>
> I didn't have an id, so I created one now.
> My id is : Aditya Nain
>
> Thanks,
> Aditya
>
> On Mon, Mar 28, 2016 at 6:40 PM, Rahul Iyer <riyer@pivotal.io> wrote:
>
> > I can assign this to you, but you need to have an account in
> > https://issues.apache.org.
> > If you already have an account, then please send your id - I wasn't able
> to
> > find you just using your name.
> >
> > On Mon, Mar 28, 2016 at 3:31 PM, Aditya Nain <adityanain1@gmail.com>
> > wrote:
> >
> > > Hi Rahul,
> > >
> > > Thanks for the reply!
> > >
> > > I am working on implementing Gaussian Mixture Model assuming that the
> > > co-variance matrix is same for all the Gaussians.
> > > The JIRA which deals GMM is MADBLIB-410:
> > >
> >
> https://issues.apache.org/jira/browse/MADLIB-410?jql=project%20%3D%20MADLIB
> > >
> > > Can this be assigned to me, or how do I get it assigned to me?
> > >
> > > Thanks,
> > > Aditya
> > >
> > > On Mon, Mar 21, 2016 at 3:41 PM, Rahul Iyer <riyer@pivotal.io> wrote:
> > >
> > > > Hi Aditya,
> > > >
> > > > Welcome to the MADlib community!
> > > >
> > > > Gaussian Mixture models is extrememly useful and we would heartily
> > > welcome
> > > > a contribution for it. The SQLEM paper might be oversimplifying the
> > > > capabilities of the database (e.g. assuming there is no array type is
> > > > unnecessary for Postgresql). You could speed things (both dev time
> and
> > > > execution time) by writing some of the functions in C++. K-means is
> an
> > > > example of how clustering is implemented.
> > > > IMO, assuming the same covariance matrix is reasonable. We could
> extend
> > > the
> > > > capabilities after the initial implementation is complete.
> > > >
> > > > There was some work started a long time ago that built perceptrons
> > using
> > > > the convex framework (link <
> https://github.com/iyerr3/madlib/tree/mlp
> > >).
> > > > There are still some bugs in that code since the trained network
> isn't
> > > > converging. You could start there or build a new module - either ways
> > an
> > > > MLP module is frequently demanded by the data science community.
> > > >
> > > > I would suggest starting with Gaussian mixtures and then moving to
> > > > perceptrons if GMM work is completed.
> > > >
> > > > Feel free to ask questions on this forum. Looking forward to
> > > collaborating
> > > > with you.
> > > >
> > > > Best,
> > > > Rahul
> > > >
> > > > On Thu, Mar 17, 2016 at 2:08 PM, Aditya Nain <adityanain1@gmail.com>
> > > > wrote:
> > > >
> > > > > Hi,
> > > > >
> > > > > My name is Aditya Nain, and I am a graduate student at University
> of
> > > > > Florida.
> > > > > I have been learning MADLib for a while and want to contribute to
> > > MADLib.
> > > > > I went through some of the open stories in JIRA and started working
> > on
> > > > > MADLIB-410  :
> > > > >
> > > > >
> > > >
> > >
> >
> https://issues.apache.org/jira/browse/MADLIB-410?jql=project%20%3D%20MADLIB
> > > > >
> > > > > which is about implementing Gaussian Mixture Model using
> Expectation
> > > > > Maximization (EM) algorithm.
> > > > >
> > > > > I came across the following paper while searching for distributed
> EM
> > > > > algorithm which can be implemented in MADLib.
> > > > >
> > > > > Carlos Ordonez, Paul Cereghini "SQLEM: fast clustering in SQL using
> > the
> > > > EM
> > > > > algorithm" ACM SIGMOD Record, Volume 29 Issue 2, June 2000 Pages
> > > 559-570.
> > > > > http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.28.7564
> > > > >
> > > > > I thought of implementing the approach discussed in the paper, but
> > the
> > > > > paper makes an assumption that the covariance martix is the same
> for
> > > all
> > > > > the clusters ( i.e covariance matrix is same for all the Gaussian
> > > > > distributions). So, I wanted to know the opinion of the community
> if
> > > it's
> > > > > fine to go with the assumption made in the paper and implement it
> in
> > > > > MADLib.
> > > > >
> > > > > Also, currently MADLib doesn't have an implementation of a
> > perceptron,
> > > > nor
> > > > > did I find any open story related to it in JIRA. I came across the
> > > > > following paper, which talks about a distributed algorithm for
> > > > perceptron :
> > > > >
> > > > > Ryan McDonald, Keith Hall, Gideon Mann "Distributed training
> > strategies
> > > > for
> > > > > the structured perceptron"
> > > > > http://dl.acm.org/citation.cfm?id=1858068
> > > > >
> > > > > Would it useful to have a distributed implementaion of perceptron
> in
> > > > > MADlib?
> > > > >
> > > > > Thanks,
> > > > > Aditya
> > > > >
> > > >
> > >
> >
>

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