+1 we wanted to explore that more.

However, It is not a simple UDF as this is a stateful op where we feed lot
of data and start a separate map reduce process. Anjana, do you have any
thoughts on how it can be done?


On Tue, Jul 1, 2014 at 5:37 AM, Anjana Fernando <[email protected]> wrote:

> Hi,
>
> I'm just wondering if we have any way to integrate this to Hive itself
> (UDF?), to get results of an ML algorithm run, to a result there. A similar
> scenario is possible in Shark/MLlib integration.
>
> Cheers,
> Anjana.
>
>
> On Mon, Jun 30, 2014 at 12:28 PM, Supun Sethunga <[email protected]> wrote:
>
>> Hi,
>>
>> Im working on the $subject, and the objective is to apply Machine
>> Learning algorithms on the data stored by WSO2 BAM. Apache Mahout will be
>> used as the ML tool, for this purpose.
>>
>> As per the discussion I had With Srinath, the procedure for $subject
>> would be:
>>
>>    - Test a Machine Learning algorithm using Mahout libraries within
>>    Java.
>>    - Implement a RESTful service which provides the above functionality.
>>    - Since Mahout also uses Hadoop, the above service can send Map
>>    Reduce Jobs to the Hadoop built inside the BAM.
>>    - Deploy the service as a Carbon Component on WSO2 BAM.
>>
>> The first step is completed for now.
>> Any feedback is highly appreciated.
>>
>> Thanks,
>> Supun
>>
>> --
>> *Supun Sethunga*
>> Software Engineer
>> WSO2, Inc.
>> lean | enterprise | middleware
>> Mobile : +94 716546324
>>
>
>
>
> --
> *Anjana Fernando*
> Senior Technical Lead
> WSO2 Inc. | http://wso2.com
> lean . enterprise . middleware
>



-- 
============================
Director, Research, WSO2 Inc.
Visiting Faculty, University of Moratuwa
Member, Apache Software Foundation
Research Scientist, Lanka Software Foundation
Blog: http://srinathsview.blogspot.com twitter:@srinath_perera
Site: http://people.apache.org/~hemapani/
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Phone: 0772360902
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