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From Frank McQuillan <fmcquil...@pivotal.io>
Subject Re: Contributing GMM and Perceptron to MADLib
Date Tue, 29 Mar 2016 04:18:30 GMT
Thanks Roman.  I was able to do it just now.

Frank

On Mon, Mar 28, 2016 at 9:12 PM, Roman Shaposhnik <rvs@apache.org> wrote:

> I can help with that -- stay tuned.
>
> On Mon, Mar 28, 2016 at 8:29 PM, Frank McQuillan <fmcquillan@pivotal.io>
> wrote:
> > 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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