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From "Edward J. Yoon" <edwardy...@apache.org>
Subject Re: Apache Hama
Date Thu, 28 Feb 2013 08:50:42 GMT
http://svn.apache.org/repos/asf/hama/trunk/ml/src/main/java/org/apache/hama/ml/kmeans/KMeansBSP.java

On Thu, Feb 28, 2013 at 5:35 PM, Piyush Kumar <kuma0177@gmail.com> wrote:
> Hi All
>
> I was trying to find KMeans BSP example to add the random points generator.
> I searched in the following directory but I could not find it.
>
> *hama/examples/src/main/java/org/apache/hama/examples
> *
> I also searched in other directories  like hama-core, hama-graph, hama-ml,
> hama-yarn but I could not find it.
>
> The last checkin date that I see for a commit on github is June 13,2012. I
> am on branch trunk. Let me know if you  guys think I am looking in the
> wrong directory.
>
> Thanks
> Piyush
>
> On Tue, Feb 26, 2013 at 11:13 PM, Piyush Kumar <kuma0177@gmail.com> wrote:
>
>> Sure  that sounds good. Will look into it tonight.
>>
>> Piyush
>>
>>
>> On Tue, Feb 26, 2013 at 10:10 PM, Edward J. Yoon <edwardyoon@apache.org>wrote:
>>
>>> Hi Piyush,
>>>
>>> I'm thinking about adding random points generator for KMeans BSP
>>> example, so that user can quickly and easily enjoy it on their
>>> cluster.
>>>
>>> Why don''t you just start with this?
>>>
>>> On Tue, Feb 26, 2013 at 6:24 PM, Piyush Kumar <kuma0177@gmail.com> wrote:
>>> > Cool, in that case I would like to work on the machine learning package
>>> > mentioned buy Edward and understand the source code
>>> > as I develop the packages.
>>> >
>>> > On Tue, Feb 26, 2013 at 1:19 AM, Thomas Jungblut
>>> > <thomas.jungblut@gmail.com>wrote:
>>> >
>>> >> I would just start and discover the code while working on something.
>>> >> However if you want to start understanding the code, let us know if
you
>>> >> have questions or how we can help you.
>>> >>
>>> >> 2013/2/26 Piyush Kumar <kuma0177@gmail.com>
>>> >>
>>> >> > No its not just machine learning, although ML is what I enjoy but
I
>>> like
>>> >> > other stuff as well. First of all to contribute I need to understand
>>> the
>>> >> > source code well and then I will know what to build on top of it.
I
>>> feel
>>> >> > this is my bottleneck that is preventing from getting started.
>>> >> >
>>> >> > Piyush
>>> >> >
>>> >> > On Tue, Feb 26, 2013 at 12:37 AM, Thomas Jungblut <
>>> >> > thomas.jungblut@gmail.com
>>> >> > > wrote:
>>> >> >
>>> >> > > Hey,
>>> >> > >
>>> >> > > is it just machine learning? Share your ideas and wishes with
us,
>>> maybe
>>> >> > we
>>> >> > > can help you better then.
>>> >> > >
>>> >> > > 2013/2/26 Edward J. Yoon <edwardyoon@apache.org>
>>> >> > >
>>> >> > > > > Yes, I am more interested in Machine Learning. I
will forward
>>> my
>>> >> > email
>>> >> > > > to the dev email list.
>>> >> > > >
>>> >> > > > As we talked about interests, discussing about Machine
Learning
>>> >> > > > package can be your first contribution.
>>> >> > > >
>>> >> > > > We don't have detailed roadmap yet -
>>> >> > http://wiki.apache.org/hama/RoadMap
>>> >> > > >
>>> >> > > > On Tue, Feb 26, 2013 at 5:06 PM, Piyush Kumar <
>>> kuma0177@gmail.com>
>>> >> > > wrote:
>>> >> > > > > Hi All,
>>> >> > > > >
>>> >> > > > > I am Piyush and I also signed up for apache open
source
>>> >> > contribution, I
>>> >> > > > > have submitted a patch earlier. In the past few
months I have
>>> been
>>> >> > very
>>> >> > > > > busy to participate more actively to Hama.
>>> >> > > > >
>>> >> > > > > However,  I would like to contribute more to Apache
Hama but I
>>> >> often
>>> >> > > get
>>> >> > > > > lost how to go about it ? I feel there is so much
source code
>>> I do
>>> >> > not
>>> >> > > > know
>>> >> > > > > where to start from but I would like to really contribute
more.
>>> >> > > > >
>>> >> > > > > Please let me know.
>>> >> > > > >
>>> >> > > > > Thanks
>>> >> > > > > Piyush
>>> >> > > >
>>> >> > > >
>>> >> > > >
>>> >> > > > --
>>> >> > > > Best Regards, Edward J. Yoon
>>> >> > > > @eddieyoon
>>> >> > > >
>>> >> > >
>>> >> >
>>> >>
>>>
>>>
>>>
>>> --
>>> Best Regards, Edward J. Yoon
>>> @eddieyoon
>>>
>>
>>



-- 
Best Regards, Edward J. Yoon
@eddieyoon

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