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From Frank McQuillan <fmcquil...@pivotal.io>
Subject Re: Contributing GMM and Perceptron to MADLib
Date Tue, 29 Mar 2016 03:29:33 GMT
Let me figure out how to do this and add Aditya as the owner of that JIRA.
  My initial attempts in ASF infra-land were not quite successful.

Frank

On Mon, Mar 28, 2016 at 4:54 PM, Rahul Iyer <riyer@pivotal.io> wrote:

> @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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