Re: [Dev] [DEV] GSoC 2017 - Real-Time Machine Learning Toolkit for Siddhi

[Upul Bandara]

Hi Kasun,

I reviewed your proposal and it looks OK for me.
I have added few comments. Can you please look at them?

Thanks,
Upul


On Sun, Apr 2, 2017 at 5:31 AM, Kasun Weerakoon  wrote:

> Hi Upul,
>
> I shared my draft proposal in GSoC dashboard and I kindly request your
> feedback in improving the proposal.
>
> Thanks and Regards,
>
> *Kasun Bandara*
> Faculty of Information Technology, University of Moratuwa
> 0715787004 | kasun...@gmail.com
> 
>   
>
> On Tue, Mar 28, 2017 at 3:25 PM, Kasun Weerakoon 
> wrote:
>
>> Hi,
>>
>> I'm working on the project proposal and there were several questions
>> emerged as follows,
>>
>>1. In offline machine learning we normally preprocess data by doing
>>operations such as *scaling*, before training the model. So in the
>>streaming algorithm is there any way to do that?
>>
>>2. Does this algorithms we are going to implement should support *non
>>numeric* input such as text data?
>>
>>3. If it's so,  do we need to implement a *word2vec* model to convert
>>inputs into numeric vectors?
>>
>>4. If our streaming algorithms supports sentiment analysis on the
>>Social Networks,  how are we going to address this problem with streaming
>>data?
>>I researched about this matter and found some approach such as *Modified
>>Balanced Winnow *for streaming algorithms instead of batch mode
>>learning approach.
>>http://file.scirp.org/pdf/JDAIP_2014053015541008.pdf
>>
>> I appreciate your opinion about this problems and it would be very
>> helpful in creating the proposal for me.
>>
>> Thanks and Regards,
>>
>> *Kasun Bandara*
>> Faculty of Information Technology, University of Moratuwa
>> 0715787004 | kasun...@gmail.com
>> 
>>   
>>
>> On Thu, Mar 23, 2017 at 11:19 AM, Kasun Weerakoon 
>> wrote:
>>
>>> Hi,
>>>
>>> I started working on the project proposal as you mentioned and came up
>>> with a sample perceptron classifier algorithm.
>>>
>>> Please find the github repo in following link -
>>> https://github.com/KasunWeerakoon/GSoC_WSO2
>>>
>>> It would be great if you can provide me some feedback about it.
>>>
>>> Thanks and regards,
>>>
>>> On Wed, 15 Mar 2017, 07:25 Upul Bandara,  wrote:
>>>
 Hi Kasun,

 Sounds good. Also, please start working on the project proposal as
 well.
 The proposal should be included following high-level sections and
 please feel free to add sub-sections as needed.

 1. Description
 2. Deliverables
 3. Timeline
 4. Implementation


 Thanks,
 Upul

 On Tue, Mar 14, 2017 at 9:54 AM, Kasun Weerakoon 
 wrote:

 Hi,

 Sorry for being late to communicate my progress with you, because of my
 academic works. From now on I will be able to work on this project with my
 full potential.

 I went through the CEP quick start guide and created  event flow,
 received events via HTTP transport, processed events with an execution plan
 and published events to dashboard successfully.

 I also went through the Apache SAMOA getting start guide and did some
 tutorials.

 I'm currently reading Chapter 12 of the Mining of Massive Datasets book
 as you mentioned and hope your guidance to carry out the work.

 Thanks and Regards,

 *Kasun Bandara*
 Faculty of Information Technology, University of Moratuwa
 0715787004 | kasun...@gmail.com
 
   

 On Tue, Feb 28, 2017 at 12:06 PM, Kasun Weerakoon 
 wrote:

 Hi,

 According to the rules mentioned,  I think I'm eligible to the program.

 Thanks and Regards,

 *Kasun Bandara*
 Faculty of Information Technology, University of Moratuwa
 0715787004 | kasun...@gmail.com
 
   

 On Tue, Feb 28, 2017 at 10:59 AM, Upul Bandara  wrote:

 Hi Kasun,

 Great!
 Also, please verify your eligibility as per the GSoC rules:
 https://summerofcode.withgoogle.com/rules/

 Thanks,
 Upul

 On Tue, Feb 21, 2017 at 9:52 AM, Kasun Weerakoon 
 wrote:

 Hi Upul,

 Thanks you for your reply. I'll go through above mentioned guides and
 get back to you later.

 Regards,
 Kasun Weerakoon.

 On Tue, 21 Feb 2017, 08:39 Upul Bandara,  wrote:

 Hi Kasun,

 We are glad to see your interest!

 The main objective of this project is to develop a real-time machine
 learning toolkit for Siddhi [1]. Siddhi CEP is a lightweight, easy-to-use
 Open So

Re: [Dev] [DEV] GSoC 2017 - Real-Time Machine Learning Toolkit for Siddhi

[Kasun Weerakoon]

Hi Upul,

I shared my draft proposal in GSoC dashboard and I kindly request your
feedback in improving the proposal.

Thanks and Regards,

*Kasun Bandara*
Faculty of Information Technology, University of Moratuwa
0715787004 | kasun...@gmail.com

  

On Tue, Mar 28, 2017 at 3:25 PM, Kasun Weerakoon  wrote:

> Hi,
>
> I'm working on the project proposal and there were several questions
> emerged as follows,
>
>1. In offline machine learning we normally preprocess data by doing
>operations such as *scaling*, before training the model. So in the
>streaming algorithm is there any way to do that?
>
>2. Does this algorithms we are going to implement should support *non
>numeric* input such as text data?
>
>3. If it's so,  do we need to implement a *word2vec* model to convert
>inputs into numeric vectors?
>
>4. If our streaming algorithms supports sentiment analysis on the
>Social Networks,  how are we going to address this problem with streaming
>data?
>I researched about this matter and found some approach such as *Modified
>Balanced Winnow *for streaming algorithms instead of batch mode
>learning approach.
>http://file.scirp.org/pdf/JDAIP_2014053015541008.pdf
>
> I appreciate your opinion about this problems and it would be very helpful
> in creating the proposal for me.
>
> Thanks and Regards,
>
> *Kasun Bandara*
> Faculty of Information Technology, University of Moratuwa
> 0715787004 | kasun...@gmail.com
> 
>   
>
> On Thu, Mar 23, 2017 at 11:19 AM, Kasun Weerakoon 
> wrote:
>
>> Hi,
>>
>> I started working on the project proposal as you mentioned and came up
>> with a sample perceptron classifier algorithm.
>>
>> Please find the github repo in following link -
>> https://github.com/KasunWeerakoon/GSoC_WSO2
>>
>> It would be great if you can provide me some feedback about it.
>>
>> Thanks and regards,
>>
>> On Wed, 15 Mar 2017, 07:25 Upul Bandara,  wrote:
>>
>>> Hi Kasun,
>>>
>>> Sounds good. Also, please start working on the project proposal as well.
>>> The proposal should be included following high-level sections and please
>>> feel free to add sub-sections as needed.
>>>
>>> 1. Description
>>> 2. Deliverables
>>> 3. Timeline
>>> 4. Implementation
>>>
>>>
>>> Thanks,
>>> Upul
>>>
>>> On Tue, Mar 14, 2017 at 9:54 AM, Kasun Weerakoon 
>>> wrote:
>>>
>>> Hi,
>>>
>>> Sorry for being late to communicate my progress with you, because of my
>>> academic works. From now on I will be able to work on this project with my
>>> full potential.
>>>
>>> I went through the CEP quick start guide and created  event flow,
>>> received events via HTTP transport, processed events with an execution plan
>>> and published events to dashboard successfully.
>>>
>>> I also went through the Apache SAMOA getting start guide and did some
>>> tutorials.
>>>
>>> I'm currently reading Chapter 12 of the Mining of Massive Datasets book
>>> as you mentioned and hope your guidance to carry out the work.
>>>
>>> Thanks and Regards,
>>>
>>> *Kasun Bandara*
>>> Faculty of Information Technology, University of Moratuwa
>>> 0715787004 | kasun...@gmail.com
>>> 
>>>   
>>>
>>> On Tue, Feb 28, 2017 at 12:06 PM, Kasun Weerakoon 
>>> wrote:
>>>
>>> Hi,
>>>
>>> According to the rules mentioned,  I think I'm eligible to the program.
>>>
>>> Thanks and Regards,
>>>
>>> *Kasun Bandara*
>>> Faculty of Information Technology, University of Moratuwa
>>> 0715787004 | kasun...@gmail.com
>>> 
>>>   
>>>
>>> On Tue, Feb 28, 2017 at 10:59 AM, Upul Bandara  wrote:
>>>
>>> Hi Kasun,
>>>
>>> Great!
>>> Also, please verify your eligibility as per the GSoC rules:
>>> https://summerofcode.withgoogle.com/rules/
>>>
>>> Thanks,
>>> Upul
>>>
>>> On Tue, Feb 21, 2017 at 9:52 AM, Kasun Weerakoon 
>>> wrote:
>>>
>>> Hi Upul,
>>>
>>> Thanks you for your reply. I'll go through above mentioned guides and
>>> get back to you later.
>>>
>>> Regards,
>>> Kasun Weerakoon.
>>>
>>> On Tue, 21 Feb 2017, 08:39 Upul Bandara,  wrote:
>>>
>>> Hi Kasun,
>>>
>>> We are glad to see your interest!
>>>
>>> The main objective of this project is to develop a real-time machine
>>> learning toolkit for Siddhi [1]. Siddhi CEP is a lightweight, easy-to-use
>>> Open Source Complex Event Processing Engine (CEP) released as a Java
>>> Library under Apache Software License v2.0. The readme page of the Siddhi's
>>> Github repository contains a good overview of the Siddhi library. Also,
>>> SiddhiQL Guide [2] will be helpful you to understand Siddhi Query Language.
>>>
>>> Most probably, we will be writing this toolkit as a Si

Re: [Dev] [DEV] GSoC 2017 - Real-Time Machine Learning Toolkit for Siddhi

[Kasun Weerakoon]

Hi,

I'm working on the project proposal and there were several questions
emerged as follows,

   1. In offline machine learning we normally preprocess data by doing
   operations such as *scaling*, before training the model. So in the
   streaming algorithm is there any way to do that?

   2. Does this algorithms we are going to implement should support *non
   numeric* input such as text data?

   3. If it's so,  do we need to implement a *word2vec* model to convert
   inputs into numeric vectors?

   4. If our streaming algorithms supports sentiment analysis on the Social
   Networks,  how are we going to address this problem with streaming data?
   I researched about this matter and found some approach such as *Modified
   Balanced Winnow *for streaming algorithms instead of batch mode learning
   approach.
   http://file.scirp.org/pdf/JDAIP_2014053015541008.pdf

I appreciate your opinion about this problems and it would be very helpful
in creating the proposal for me.

Thanks and Regards,

*Kasun Bandara*
Faculty of Information Technology, University of Moratuwa
0715787004 | kasun...@gmail.com

  

On Thu, Mar 23, 2017 at 11:19 AM, Kasun Weerakoon 
wrote:

> Hi,
>
> I started working on the project proposal as you mentioned and came up
> with a sample perceptron classifier algorithm.
>
> Please find the github repo in following link - https://github.com/
> KasunWeerakoon/GSoC_WSO2
>
> It would be great if you can provide me some feedback about it.
>
> Thanks and regards,
>
> On Wed, 15 Mar 2017, 07:25 Upul Bandara,  wrote:
>
>> Hi Kasun,
>>
>> Sounds good. Also, please start working on the project proposal as well.
>> The proposal should be included following high-level sections and please
>> feel free to add sub-sections as needed.
>>
>> 1. Description
>> 2. Deliverables
>> 3. Timeline
>> 4. Implementation
>>
>>
>> Thanks,
>> Upul
>>
>> On Tue, Mar 14, 2017 at 9:54 AM, Kasun Weerakoon 
>> wrote:
>>
>> Hi,
>>
>> Sorry for being late to communicate my progress with you, because of my
>> academic works. From now on I will be able to work on this project with my
>> full potential.
>>
>> I went through the CEP quick start guide and created  event flow,
>> received events via HTTP transport, processed events with an execution plan
>> and published events to dashboard successfully.
>>
>> I also went through the Apache SAMOA getting start guide and did some
>> tutorials.
>>
>> I'm currently reading Chapter 12 of the Mining of Massive Datasets book
>> as you mentioned and hope your guidance to carry out the work.
>>
>> Thanks and Regards,
>>
>> *Kasun Bandara*
>> Faculty of Information Technology, University of Moratuwa
>> 0715787004 | kasun...@gmail.com
>> 
>>   
>>
>> On Tue, Feb 28, 2017 at 12:06 PM, Kasun Weerakoon 
>> wrote:
>>
>> Hi,
>>
>> According to the rules mentioned,  I think I'm eligible to the program.
>>
>> Thanks and Regards,
>>
>> *Kasun Bandara*
>> Faculty of Information Technology, University of Moratuwa
>> 0715787004 | kasun...@gmail.com
>> 
>>   
>>
>> On Tue, Feb 28, 2017 at 10:59 AM, Upul Bandara  wrote:
>>
>> Hi Kasun,
>>
>> Great!
>> Also, please verify your eligibility as per the GSoC rules:
>> https://summerofcode.withgoogle.com/rules/
>>
>> Thanks,
>> Upul
>>
>> On Tue, Feb 21, 2017 at 9:52 AM, Kasun Weerakoon 
>> wrote:
>>
>> Hi Upul,
>>
>> Thanks you for your reply. I'll go through above mentioned guides and get
>> back to you later.
>>
>> Regards,
>> Kasun Weerakoon.
>>
>> On Tue, 21 Feb 2017, 08:39 Upul Bandara,  wrote:
>>
>> Hi Kasun,
>>
>> We are glad to see your interest!
>>
>> The main objective of this project is to develop a real-time machine
>> learning toolkit for Siddhi [1]. Siddhi CEP is a lightweight, easy-to-use
>> Open Source Complex Event Processing Engine (CEP) released as a Java
>> Library under Apache Software License v2.0. The readme page of the Siddhi's
>> Github repository contains a good overview of the Siddhi library. Also,
>> SiddhiQL Guide [2] will be helpful you to understand Siddhi Query Language.
>>
>> Most probably, we will be writing this toolkit as a Siddhi extension.
>> Therefore, please go through Siddhi Extension Guide [3] to get a quick
>> overview regarding how to write Siddhi extensions.
>>
>> In addition to that, if you are not familiar with general machine
>> learning concepts, I think Chapter 12 of the Mining of Massive Datasets
>> book (link is provided in the GSco project page) will be really helpful.
>> Also, if you have some free time please look at other streaming machine
>> learning libraries such as Apache Samoa[4].
>>
>> Please go through these Siddhi/ML tutorials/guides. They will be helpful
>> when it comes to w

Re: [Dev] [DEV] GSoC 2017 - Real-Time Machine Learning Toolkit for Siddhi

[Kasun Weerakoon]

Hi,

I started working on the project proposal as you mentioned and came up with
a sample perceptron classifier algorithm.

Please find the github repo in following link -
https://github.com/KasunWeerakoon/GSoC_WSO2

It would be great if you can provide me some feedback about it.

Thanks and regards,

On Wed, 15 Mar 2017, 07:25 Upul Bandara,  wrote:

> Hi Kasun,
>
> Sounds good. Also, please start working on the project proposal as well.
> The proposal should be included following high-level sections and please
> feel free to add sub-sections as needed.
>
> 1. Description
> 2. Deliverables
> 3. Timeline
> 4. Implementation
>
>
> Thanks,
> Upul
>
> On Tue, Mar 14, 2017 at 9:54 AM, Kasun Weerakoon 
> wrote:
>
> Hi,
>
> Sorry for being late to communicate my progress with you, because of my
> academic works. From now on I will be able to work on this project with my
> full potential.
>
> I went through the CEP quick start guide and created  event flow, received
> events via HTTP transport, processed events with an execution plan and
> published events to dashboard successfully.
>
> I also went through the Apache SAMOA getting start guide and did some
> tutorials.
>
> I'm currently reading Chapter 12 of the Mining of Massive Datasets book as
> you mentioned and hope your guidance to carry out the work.
>
> Thanks and Regards,
>
> *Kasun Bandara*
> Faculty of Information Technology, University of Moratuwa
> 0715787004 | kasun...@gmail.com
> 
>   
>
> On Tue, Feb 28, 2017 at 12:06 PM, Kasun Weerakoon 
> wrote:
>
> Hi,
>
> According to the rules mentioned,  I think I'm eligible to the program.
>
> Thanks and Regards,
>
> *Kasun Bandara*
> Faculty of Information Technology, University of Moratuwa
> 0715787004 | kasun...@gmail.com
> 
>   
>
> On Tue, Feb 28, 2017 at 10:59 AM, Upul Bandara  wrote:
>
> Hi Kasun,
>
> Great!
> Also, please verify your eligibility as per the GSoC rules:
> https://summerofcode.withgoogle.com/rules/
>
> Thanks,
> Upul
>
> On Tue, Feb 21, 2017 at 9:52 AM, Kasun Weerakoon 
> wrote:
>
> Hi Upul,
>
> Thanks you for your reply. I'll go through above mentioned guides and get
> back to you later.
>
> Regards,
> Kasun Weerakoon.
>
> On Tue, 21 Feb 2017, 08:39 Upul Bandara,  wrote:
>
> Hi Kasun,
>
> We are glad to see your interest!
>
> The main objective of this project is to develop a real-time machine
> learning toolkit for Siddhi [1]. Siddhi CEP is a lightweight, easy-to-use
> Open Source Complex Event Processing Engine (CEP) released as a Java
> Library under Apache Software License v2.0. The readme page of the Siddhi's
> Github repository contains a good overview of the Siddhi library. Also,
> SiddhiQL Guide [2] will be helpful you to understand Siddhi Query Language.
>
> Most probably, we will be writing this toolkit as a Siddhi extension.
> Therefore, please go through Siddhi Extension Guide [3] to get a quick
> overview regarding how to write Siddhi extensions.
>
> In addition to that, if you are not familiar with general machine learning
> concepts, I think Chapter 12 of the Mining of Massive Datasets book (link
> is provided in the GSco project page) will be really helpful. Also, if you
> have some free time please look at other streaming machine learning
> libraries such as Apache Samoa[4].
>
> Please go through these Siddhi/ML tutorials/guides. They will be helpful
> when it comes to writing your project proposal.
>
> Thanks,
> Upul
>
> [1]. https://github.com/wso2/siddhi
> [2]. https://docs.wso2.com/display/CEP420/SiddhiQL+Guide+3.1
> [3] https://docs.wso2.com/display/CEP420/Writing+Extensions+to+Siddhi
> [4] https://samoa.incubator.apache.org/
>
> On Mon, Feb 20, 2017 at 7:00 PM, Kasun Weerakoon 
> wrote:
>
> Hi all,
>
> I'm Kasun Weerakoon, final year undergraduate of University of Moratuwa,
> Sri Lanka. I'm interested about above mentioned project idea as I'm
> passionate about machine learning and deep learning techniques. I have used
> ML in my final year project and have followed the Coursera machine learning
> course by Stanford University as well as a ML course module in the
> university. I've recently participated to the Deep Learning meetup held in
> your organization. I use Java as my major programming language and
> currently  I'm following tutorials on Siddhi. I believe I'm a good
> candidate for this project and hope your guidance for this project.
>
> Regards,
> Kasun Weerakoon.
>
> ___
> Dev mailing list
> Dev@wso2.org
> http://wso2.org/cgi-bin/mailman/listinfo/dev
>
>
>
>
> --
> Upul Bandara,
> Mob: +94 715 468 345 <+94%2071%20546%208345>.
>
>
>
>
> --
> Upul Bandara,
> Associate Technical Lead, WSO2, Inc.,
> Mob: +94 715 468 345 <071%20546%208345>.
>
>
>
>
>
>
> --
> Upul Bandara,
> Associate Technical Lead, WS

Re: [Dev] [DEV] GSoC 2017 - Real-Time Machine Learning Toolkit for Siddhi

[Upul Bandara]

Hi Kasun,

Sounds good. Also, please start working on the project proposal as well.
The proposal should be included following high-level sections and please
feel free to add sub-sections as needed.

1. Description
2. Deliverables
3. Timeline
4. Implementation


Thanks,
Upul

On Tue, Mar 14, 2017 at 9:54 AM, Kasun Weerakoon  wrote:

> Hi,
>
> Sorry for being late to communicate my progress with you, because of my
> academic works. From now on I will be able to work on this project with my
> full potential.
>
> I went through the CEP quick start guide and created  event flow, received
> events via HTTP transport, processed events with an execution plan and
> published events to dashboard successfully.
>
> I also went through the Apache SAMOA getting start guide and did some
> tutorials.
>
> I'm currently reading Chapter 12 of the Mining of Massive Datasets book as
> you mentioned and hope your guidance to carry out the work.
>
> Thanks and Regards,
>
> *Kasun Bandara*
> Faculty of Information Technology, University of Moratuwa
> 0715787004 | kasun...@gmail.com
> 
>   
>
> On Tue, Feb 28, 2017 at 12:06 PM, Kasun Weerakoon 
> wrote:
>
>> Hi,
>>
>> According to the rules mentioned,  I think I'm eligible to the program.
>>
>> Thanks and Regards,
>>
>> *Kasun Bandara*
>> Faculty of Information Technology, University of Moratuwa
>> 0715787004 | kasun...@gmail.com
>> 
>>   
>>
>> On Tue, Feb 28, 2017 at 10:59 AM, Upul Bandara  wrote:
>>
>>> Hi Kasun,
>>>
>>> Great!
>>> Also, please verify your eligibility as per the GSoC rules:
>>> https://summerofcode.withgoogle.com/rules/
>>>
>>> Thanks,
>>> Upul
>>>
>>> On Tue, Feb 21, 2017 at 9:52 AM, Kasun Weerakoon 
>>> wrote:
>>>
 Hi Upul,

 Thanks you for your reply. I'll go through above mentioned guides and
 get back to you later.

 Regards,
 Kasun Weerakoon.

 On Tue, 21 Feb 2017, 08:39 Upul Bandara,  wrote:

 Hi Kasun,

 We are glad to see your interest!

 The main objective of this project is to develop a real-time machine
 learning toolkit for Siddhi [1]. Siddhi CEP is a lightweight, easy-to-use
 Open Source Complex Event Processing Engine (CEP) released as a Java
 Library under Apache Software License v2.0. The readme page of the Siddhi's
 Github repository contains a good overview of the Siddhi library. Also,
 SiddhiQL Guide [2] will be helpful you to understand Siddhi Query Language.

 Most probably, we will be writing this toolkit as a Siddhi extension.
 Therefore, please go through Siddhi Extension Guide [3] to get a quick
 overview regarding how to write Siddhi extensions.

 In addition to that, if you are not familiar with general machine
 learning concepts, I think Chapter 12 of the Mining of Massive Datasets
 book (link is provided in the GSco project page) will be really helpful.
 Also, if you have some free time please look at other streaming machine
 learning libraries such as Apache Samoa[4].

 Please go through these Siddhi/ML tutorials/guides. They will be
 helpful when it comes to writing your project proposal.

 Thanks,
 Upul

 [1]. https://github.com/wso2/siddhi
 [2]. https://docs.wso2.com/display/CEP420/SiddhiQL+Guide+3.1
 [3] https://docs.wso2.com/display/CEP420/Writing+Extensions+to+Siddhi
 [4] https://samoa.incubator.apache.org/

 On Mon, Feb 20, 2017 at 7:00 PM, Kasun Weerakoon 
 wrote:

 Hi all,

 I'm Kasun Weerakoon, final year undergraduate of University of
 Moratuwa, Sri Lanka. I'm interested about above mentioned project idea as
 I'm passionate about machine learning and deep learning techniques. I have
 used ML in my final year project and have followed the Coursera machine
 learning course by Stanford University as well as a ML course module in the
 university. I've recently participated to the Deep Learning meetup held in
 your organization. I use Java as my major programming language and
 currently  I'm following tutorials on Siddhi. I believe I'm a good
 candidate for this project and hope your guidance for this project.

 Regards,
 Kasun Weerakoon.

 ___
 Dev mailing list
 Dev@wso2.org
 http://wso2.org/cgi-bin/mailman/listinfo/dev




 --
 Upul Bandara,
 Mob: +94 715 468 345 <+94%2071%20546%208345>.


>>>
>>>
>>> --
>>> Upul Bandara,
>>> Associate Technical Lead, WSO2, Inc.,
>>> Mob: +94 715 468 345 <071%20546%208345>.
>>>
>>
>>
>


-- 
Upul Bandara,
Associate Technical Lead, WSO2, Inc.,
Mob: +94 715 468 345 <+94%2071%20546%208345>.
___
Dev mailing l

Re: [Dev] [DEV] GSoC 2017 - Real-Time Machine Learning Toolkit for Siddhi

[Upul Bandara]

Hi Kasun,

Great!
Also, please verify your eligibility as per the GSoC rules:
https://summerofcode.withgoogle.com/rules/

Thanks,
Upul

On Tue, Feb 21, 2017 at 9:52 AM, Kasun Weerakoon  wrote:

> Hi Upul,
>
> Thanks you for your reply. I'll go through above mentioned guides and get
> back to you later.
>
> Regards,
> Kasun Weerakoon.
>
> On Tue, 21 Feb 2017, 08:39 Upul Bandara,  wrote:
>
> Hi Kasun,
>
> We are glad to see your interest!
>
> The main objective of this project is to develop a real-time machine
> learning toolkit for Siddhi [1]. Siddhi CEP is a lightweight, easy-to-use
> Open Source Complex Event Processing Engine (CEP) released as a Java
> Library under Apache Software License v2.0. The readme page of the Siddhi's
> Github repository contains a good overview of the Siddhi library. Also,
> SiddhiQL Guide [2] will be helpful you to understand Siddhi Query Language.
>
> Most probably, we will be writing this toolkit as a Siddhi extension.
> Therefore, please go through Siddhi Extension Guide [3] to get a quick
> overview regarding how to write Siddhi extensions.
>
> In addition to that, if you are not familiar with general machine learning
> concepts, I think Chapter 12 of the Mining of Massive Datasets book (link
> is provided in the GSco project page) will be really helpful. Also, if you
> have some free time please look at other streaming machine learning
> libraries such as Apache Samoa[4].
>
> Please go through these Siddhi/ML tutorials/guides. They will be helpful
> when it comes to writing your project proposal.
>
> Thanks,
> Upul
>
> [1]. https://github.com/wso2/siddhi
> [2]. https://docs.wso2.com/display/CEP420/SiddhiQL+Guide+3.1
> [3] https://docs.wso2.com/display/CEP420/Writing+Extensions+to+Siddhi
> [4] https://samoa.incubator.apache.org/
>
> On Mon, Feb 20, 2017 at 7:00 PM, Kasun Weerakoon 
> wrote:
>
> Hi all,
>
> I'm Kasun Weerakoon, final year undergraduate of University of Moratuwa,
> Sri Lanka. I'm interested about above mentioned project idea as I'm
> passionate about machine learning and deep learning techniques. I have used
> ML in my final year project and have followed the Coursera machine learning
> course by Stanford University as well as a ML course module in the
> university. I've recently participated to the Deep Learning meetup held in
> your organization. I use Java as my major programming language and
> currently  I'm following tutorials on Siddhi. I believe I'm a good
> candidate for this project and hope your guidance for this project.
>
> Regards,
> Kasun Weerakoon.
>
> ___
> Dev mailing list
> Dev@wso2.org
> http://wso2.org/cgi-bin/mailman/listinfo/dev
>
>
>
>
> --
> Upul Bandara,
> Mob: +94 715 468 345 <+94%2071%20546%208345>.
>
>


-- 
Upul Bandara,
Associate Technical Lead, WSO2, Inc.,
Mob: +94 715 468 345.
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Re: [Dev] [DEV] GSoC 2017 - Real-Time Machine Learning Toolkit for Siddhi

[Kasun Weerakoon]

Hi Upul,

Thanks you for your reply. I'll go through above mentioned guides and get
back to you later.

Regards,
Kasun Weerakoon.

On Tue, 21 Feb 2017, 08:39 Upul Bandara,  wrote:

Hi Kasun,

We are glad to see your interest!

The main objective of this project is to develop a real-time machine
learning toolkit for Siddhi [1]. Siddhi CEP is a lightweight, easy-to-use
Open Source Complex Event Processing Engine (CEP) released as a Java
Library under Apache Software License v2.0. The readme page of the Siddhi's
Github repository contains a good overview of the Siddhi library. Also,
SiddhiQL Guide [2] will be helpful you to understand Siddhi Query Language.

Most probably, we will be writing this toolkit as a Siddhi extension.
Therefore, please go through Siddhi Extension Guide [3] to get a quick
overview regarding how to write Siddhi extensions.

In addition to that, if you are not familiar with general machine learning
concepts, I think Chapter 12 of the Mining of Massive Datasets book (link
is provided in the GSco project page) will be really helpful. Also, if you
have some free time please look at other streaming machine learning
libraries such as Apache Samoa[4].

Please go through these Siddhi/ML tutorials/guides. They will be helpful
when it comes to writing your project proposal.

Thanks,
Upul

[1]. https://github.com/wso2/siddhi
[2]. https://docs.wso2.com/display/CEP420/SiddhiQL+Guide+3.1
[3] https://docs.wso2.com/display/CEP420/Writing+Extensions+to+Siddhi
[4] https://samoa.incubator.apache.org/

On Mon, Feb 20, 2017 at 7:00 PM, Kasun Weerakoon  wrote:

Hi all,

I'm Kasun Weerakoon, final year undergraduate of University of Moratuwa,
Sri Lanka. I'm interested about above mentioned project idea as I'm
passionate about machine learning and deep learning techniques. I have used
ML in my final year project and have followed the Coursera machine learning
course by Stanford University as well as a ML course module in the
university. I've recently participated to the Deep Learning meetup held in
your organization. I use Java as my major programming language and
currently  I'm following tutorials on Siddhi. I believe I'm a good
candidate for this project and hope your guidance for this project.

Regards,
Kasun Weerakoon.

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-- 
Upul Bandara,
Mob: +94 715 468 345.
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Re: [Dev] [DEV] GSoC 2017 - Real-Time Machine Learning Toolkit for Siddhi

[Upul Bandara]

Hi Kasun,

We are glad to see your interest!

The main objective of this project is to develop a real-time machine
learning toolkit for Siddhi [1]. Siddhi CEP is a lightweight, easy-to-use
Open Source Complex Event Processing Engine (CEP) released as a Java
Library under Apache Software License v2.0. The readme page of the Siddhi's
Github repository contains a good overview of the Siddhi library. Also,
SiddhiQL Guide [2] will be helpful you to understand Siddhi Query Language.

Most probably, we will be writing this toolkit as a Siddhi extension.
Therefore, please go through Siddhi Extension Guide [3] to get a quick
overview regarding how to write Siddhi extensions.

In addition to that, if you are not familiar with general machine learning
concepts, I think Chapter 12 of the Mining of Massive Datasets book (link
is provided in the GSco project page) will be really helpful. Also, if you
have some free time please look at other streaming machine learning
libraries such as Apache Samoa[4].

Please go through these Siddhi/ML tutorials/guides. They will be helpful
when it comes to writing your project proposal.

Thanks,
Upul

[1]. https://github.com/wso2/siddhi
[2]. https://docs.wso2.com/display/CEP420/SiddhiQL+Guide+3.1
[3] https://docs.wso2.com/display/CEP420/Writing+Extensions+to+Siddhi
[4] https://samoa.incubator.apache.org/

On Mon, Feb 20, 2017 at 7:00 PM, Kasun Weerakoon  wrote:

> Hi all,
>
> I'm Kasun Weerakoon, final year undergraduate of University of Moratuwa,
> Sri Lanka. I'm interested about above mentioned project idea as I'm
> passionate about machine learning and deep learning techniques. I have used
> ML in my final year project and have followed the Coursera machine learning
> course by Stanford University as well as a ML course module in the
> university. I've recently participated to the Deep Learning meetup held in
> your organization. I use Java as my major programming language and
> currently  I'm following tutorials on Siddhi. I believe I'm a good
> candidate for this project and hope your guidance for this project.
>
> Regards,
> Kasun Weerakoon.
>
> ___
> Dev mailing list
> Dev@wso2.org
> http://wso2.org/cgi-bin/mailman/listinfo/dev
>
>


-- 
Upul Bandara,
Mob: +94 715 468 345.
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[Dev] [DEV] GSoC 2017 - Real-Time Machine Learning Toolkit for Siddhi

[Kasun Weerakoon]

Hi all,

I'm Kasun Weerakoon, final year undergraduate of University of Moratuwa,
Sri Lanka. I'm interested about above mentioned project idea as I'm
passionate about machine learning and deep learning techniques. I have used
ML in my final year project and have followed the Coursera machine learning
course by Stanford University as well as a ML course module in the
university. I've recently participated to the Deep Learning meetup held in
your organization. I use Java as my major programming language and
currently  I'm following tutorials on Siddhi. I believe I'm a good
candidate for this project and hope your guidance for this project.

Regards,
Kasun Weerakoon.
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