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From "Edward J. Yoon" <edwardy...@apache.org>
Subject Re: classification in Hama ML
Date Thu, 10 Jan 2013 08:29:40 GMT
Cool.

BTW, what is our plan about the future of math classes? Personally I'd
like to package all math classes into ML module and so provide them
together.

On Thu, Jan 10, 2013 at 5:12 PM, Tommaso Teofili
<tommaso.teofili@gmail.com> wrote:
> Hi all
>
> I recently played a bit with classification algorithms so I think it may
> make sense to start adding a BSP version of them in our machine learning
> package.
> As a first step though I would like to add a couple of adapter interfaces
> in order to be able to use existing (BSP or not) classifiers inside our BSP
> algorithms. This would be useful, for example, for meta learning algorithms
> like weighted majority [1].
> Apart from that we could add some basic algorithms first:
> - perceptron
> - naive bayes
>
> and then move to the more tricky ones (neural networks, decision tress,
> random forest, svm, etc.).
>
> Note that currently we have logistic regression with gradient descent for
> classification.
>
> Have a nice day,
> Tommaso
>
>
> [1] : http://en.wikipedia.org/wiki/Weighted_Majority_Algorithm



-- 
Best Regards, Edward J. Yoon
@eddieyoon

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