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From: Aditya Nain <adityanain1@gmail.com>
Date: Mon, 28 Mar 2016 18:49:40 -0400
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 <CADfStTb=ZnybEuCVCgBqodOhuOQf6DMT2TJhpZbFdYmYDM7wag@mail.gmail.com>
Subject: Re: Contributing GMM and Perceptron to MADLib
To: dev@madlib.incubator.apache.org
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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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