Hi Hasitha,

Out of ensembling method available, following are the three main types that
we are interested in:

   - Stacking - Training multiple algorithms (called base-learners) on the
   same dataset, and combining them using another algorithm (meta-learner).
   - Bagging - Training a single algorithm over subsets of data.
   - Boosting - Training multiple algorithms on the same data, and
   combining them over a weighted average (giving higher priority to
   misclassified data points).

You can do some background reading on those three topics to get a good
understanding on ensembling methods. There are good online resources
available.

or if you can could you please provide me a time to a google hangout?

Yes sure. Can you please set up a meeting? You can check my google calendar
for free time slots. (I might not be available on 18-20 March)

P.S: Don't call us sir, just call us by name :)
Also, please CC "[email protected]" mailing list for all project related emails.

Regards,
Supun

On Tue, Mar 15, 2016 at 1:36 AM, Hasitha Jayasundara <
[email protected]> wrote:

> Dear Sir,
>
> I have gone through the WSo2 ML algorithms(Linear Regression,Lasso
> regression...)and  now i have the idea about how the platform is
> working.Since I am new to Ensembling and there's less resources for
> learning Ensembling,can you provide me some resources or links to learn the
> concept Ensembling,or if you can could you please provide me a time to a
> google hangout?Thank you.
>
> On Tue, Mar 8, 2016 at 10:41 AM, Hasitha Jayasundara <
> [email protected]> wrote:
>
>> Thank you very much sir.I 'll let you know if there's any issue.
>>
>> On Tue, Mar 8, 2016 at 10:03 AM, Supun Sethunga <[email protected]> wrote:
>>
>>> [looping dev]
>>>
>>> On Tue, Mar 8, 2016 at 10:01 AM, Supun Sethunga <[email protected]> wrote:
>>>
>>>> Hi Hasitha,
>>>>
>>>> Thank you for your interest in the above project. As we have mentioned
>>>> in the project proposal as well, the main objective is to integrate
>>>> ensemble support for the existing flow of the WSO2 Machine Learner. We are
>>>> focusing on the three methods: Bagging, Boosting and Stacking.
>>>>
>>>> To start with, you can get to know the Machine Learner product by
>>>> downloading it and running it (Please use link [1] to download). Official
>>>> documentation [2] and blog [3] will help you on how to use the product. As
>>>> the next step, you can go through the source code of WSO2 ML ([4] and [5]),
>>>> and get familiarized with the current implementations.
>>>>
>>>> Please feel free to raise if you have any questions or any unclear
>>>> points.
>>>>
>>>> [1] http://wso2.com/products/machine-learner/
>>>> [2] https://docs.wso2.com/display/ML100/Introducing+Machine+Learner
>>>> [3]
>>>> http://supunsetunga.blogspot.com/2015/09/building-your-first-predictive-model.html
>>>> [4] https://github.com/wso2/carbon-ml
>>>> [5] https://github.com/wso2/product-ml
>>>>
>>>> Regards,
>>>> Supun
>>>>
>>>> On Tue, Mar 8, 2016 at 9:53 AM, Hasitha Jayasundara <
>>>> [email protected]> wrote:
>>>>
>>>>> Dear Sir,
>>>>>
>>>>> I am an undergraduate of University of Moratuwa department of
>>>>> Electronic and Telecommunication Engineering. I am very much interested in
>>>>> machine learning knowledge and i would like to start the project' Ensemble
>>>>> Methods Support for WSO2 Machine Learner'.So please provide me some guide
>>>>> lines and materials for study and get a clear understanding about the
>>>>> mentioned project.
>>>>>
>>>>> Thank you
>>>>>
>>>>>
>>>>
>>>>
>>>>
>>>> --
>>>> *Supun Sethunga*
>>>> Software Engineer
>>>> WSO2, Inc.
>>>> http://wso2.com/
>>>> lean | enterprise | middleware
>>>> Mobile : +94 716546324
>>>>
>>>
>>>
>>>
>>> --
>>> *Supun Sethunga*
>>> Software Engineer
>>> WSO2, Inc.
>>> http://wso2.com/
>>> lean | enterprise | middleware
>>> Mobile : +94 716546324
>>>
>>
>>
>


-- 
*Supun Sethunga*
Software Engineer
WSO2, Inc.
http://wso2.com/
lean | enterprise | middleware
Mobile : +94 716546324
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