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From Yexi Jiang <yexiji...@gmail.com>
Subject Re: [DISCUSS] Roadmap for 0.7.0
Date Thu, 25 Jul 2013 12:39:22 GMT
> yes, they just use the plain gradient descent BSP implementation but one
> could do both with a neural network (MLP) as well, however I'd like to
have
> separate implementations which can address different scenarios.

Yes, from the user perspective, they should be different model. But is it
OK to reuse the same model (the artificial neural network, a more generic
MLP) internally?


2013/7/25 Tommaso Teofili <tommaso.teofili@gmail.com>

> 2013/7/25 Yexi Jiang <yexijiang@gmail.com>
>
> > I also think about to remove the regression.CostFunction and create one
> in
> > ml.math. But it seems that the argument list is quite different from the
> > DoubleDoubleFunction defined in ml.math.
>
>
> yes, that's because it came before the MLP Function API and was designed
> just for the case of regression.
> So I'd be +1 in standardizing our interfaces, making some of the changes
> mentioned before and more if needed.
>
>
> > I think we need to figure out how
> > to replace the regression.CostFunction with existing ones. Moreover, I
> > found both the linear regression and logistic regression use gradient
> > descent. So they can be treated as a two layer MLP in fact.
> >
>
> yes, they just use the plain gradient descent BSP implementation but one
> could do both with a neural network (MLP) as well, however I'd like to have
> separate implementations which can address different scenarios.
>
> Regards,
> Tommaso
>
>
> >
> > Regards,
> > Yexi
> >
> >
> > 2013/7/25 Tommaso Teofili <tommaso.teofili@gmail.com>
> >
> > > Hi Yexi,
> > >
> > > sorry for the late reply, I think we can improve a bit our ML API by
> > adding
> > > (for example) generics to Functions, move regression.CostFunction
> > interface
> > > to math or remove it as some functions in math are themselves cost
> > > functions, change MLP package name from perception to perceptron, this
> > kind
> > > of small things that may result (IMHO) in a more readable and user
> > friendly
> > > API.
> > >
> > > My 2 cents,
> > > Tommaso
> > >
> > >
> > >
> > >
> > > 2013/7/21 Yexi Jiang <yexijiang@gmail.com>
> > >
> > > > Hi, Tommaso,
> > > >
> > > > For the machine learning module, what kind of refactoring do you
> think
> > is
> > > > necessary?
> > > >
> > > > Regards,
> > > > Yexi
> > > >
> > > >
> > > > 2013/7/21 Edward J. Yoon <edwardyoon@apache.org>
> > > >
> > > > > Additionally, Queue is also one of big issues.
> > > > >
> > > > > On Sun, Jul 21, 2013 at 8:55 PM, Tommaso Teofili
> > > > > <tommaso.teofili@gmail.com> wrote:
> > > > > > Hi Edward,
> > > > > >
> > > > > > I'm still quite unsure about the status of FT so it may be worth
> > > doing
> > > > > some
> > > > > > work to make sure that is fully working (but it may be just
me).
> > > > > > Also vertex storage in graph package should be improved.
> > > > > > Then I'd say some refactoring of machine learning module APIs
> > > together
> > > > > with
> > > > > > addition of "Collaborative Filtering"  (and eventually some
other
> > > > > > algorithms, but I'm still unsure there).
> > > > > >
> > > > > > My 2 cents,
> > > > > > Tommaso
> > > > > >
> > > > > >
> > > > > >
> > > > > > 2013/7/19 Edward J. Yoon <edwardyoon@apache.org>
> > > > > >
> > > > > >> Hi all,
> > > > > >>
> > > > > >> Once HAMA-742 is done, users will be able to install a Hama
> > cluster
> > > on
> > > > > >> existing Hadoop 1.x and new Hadoop 2.x without issues.
> > > > > >>
> > > > > >> I think urgent tasks are finished, now it's time to discuss
> about
> > > the
> > > > > >> future roadmap Hama 0.7 and begin enhancement work.
> > > > > >>
> > > > > >> Please feel free to voice your opinions.
> > > > > >>
> > > > > >> Thanks.
> > > > > >>
> > > > > >> --
> > > > > >> Best Regards, Edward J. Yoon
> > > > > >> @eddieyoon
> > > > > >>
> > > > >
> > > > >
> > > > >
> > > > > --
> > > > > Best Regards, Edward J. Yoon
> > > > > @eddieyoon
> > > > >
> > > >
> > > >
> > > >
> > > > --
> > > > ------
> > > > Yexi Jiang,
> > > > ECS 251,  yjian004@cs.fiu.edu
> > > > School of Computer and Information Science,
> > > > Florida International University
> > > > Homepage: http://users.cis.fiu.edu/~yjian004/
> > > >
> > >
> >
> >
> >
> > --
> > ------
> > Yexi Jiang,
> > ECS 251,  yjian004@cs.fiu.edu
> > School of Computer and Information Science,
> > Florida International University
> > Homepage: http://users.cis.fiu.edu/~yjian004/
> >
>



-- 
------
Yexi Jiang,
ECS 251,  yjian004@cs.fiu.edu
School of Computer and Information Science,
Florida International University
Homepage: http://users.cis.fiu.edu/~yjian004/

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