Hi Maheshakya, ok.i got it.thank you. regards, Mahesh. On Thu, Apr 28, 2016 at 6:56 PM, Maheshakya Wijewardena <[email protected] > wrote:
> Hi Mahesh, > > The links was an example of remote debugging WSO2 server. What you need to > debug is org.wso2.carbon.ml.siddhi.extension in carbon-ml. > > Best regards. > > On Thu, Apr 28, 2016 at 4:52 PM, Mahesh Dananjaya < > [email protected]> wrote: > >> Hi Maheshakya, >> thank you for your help.i have already built all three sources and now i >> am trying to get familiar with your code base. i even build the >> carbon-kernel by source. >> As you mentioned [1] is related to debug the kernel, do i really need to >> debug the carbon kernel in my case. I am trying to remotely debug ml and as >> i got it correct it is the same way as reference[1, but not the kernel.I >> can go with others. >> BR, >> mahesh. >> >> [1] https://dzone.com/articles/how-debug-wso2-carbon-kernel >> >> On Mon, Apr 25, 2016 at 5:49 PM, Maheshakya Wijewardena < >> [email protected]> wrote: >> >>> Hi Mahesh, >>> >>> Congratulations and welcome to GSoC 2016. You did a great job in >>> preparing the proposal. Now it's time to dig deep and get started with the >>> project. >>> >>> First of all you need to familiarize with the code base. We have agreed >>> to implement this with CEP event streams. We already have a CEP extension >>> for predictions [1][2]. Go through this implementation and familiarize your >>> self with that. You need to understand how: >>> >>> 1. Even streams are consumed >>> 2. predictions are made from individual event >>> 3. Results are sent back >>> >>> Get WSO2 ML and CEP sources (You may use latest released version of CEP) >>> and build the products. Get both carbon-ml[3] and product-ml[4] masters and >>> create new branches for your work from masters. >>> >>> After you build the products, you may need to do remote debugging[5] to >>> understand the flow. So please follow an example of real time prediction >>> with ML with debugging and get some idea. The component you need to debug >>> is org.wso2.carbon.ml.siddhi.extension. >>> >>> Next tasks would be implementing online learning algorithms in plain >>> java with spark ml lib and integrating those to ML. We also need to come up >>> with a proper and detailed architecture to employ those algorithms in ML. >>> Getting familiar with the aforementioned sections would give you some >>> insight on how this should be implemented. >>> >>> So please try to get a quick grasp then you can start the >>> implementation. Let us know if you have any questions or you get stuck >>> somewhere. >>> >>> Also, please always add WSO2 developer's list as well when you >>> communicate with us regarding the project so that you can get opinions and >>> feedback from others as well. >>> >>> Best regards. >>> >>> [1] >>> https://docs.wso2.com/display/ML110/WSO2+CEP+Extension+for+ML+Predictions#WSO2CEPExtensionforMLPredictions-Siddhisyntaxfortheextension >>> >>> [2] >>> https://github.com/wso2/carbon-ml/tree/master/components/extensions/org.wso2.carbon.ml.siddhi.extension >>> >>> [3] https://github.com/wso2/carbon-ml >>> >>> [4] https://github.com/wso2/product-ml >>> >>> [5] https://dzone.com/articles/how-debug-wso2-carbon-kernel >>> >>> >>> On Mon, Apr 25, 2016 at 3:33 PM, Mahesh Dananjaya < >>> [email protected]> wrote: >>> >>>> Hi, >>>> thank you for accepting my GSOC 2016 proposal and i am looking forward >>>> for the further instruction and project continuation. thank you very much. >>>> regards, >>>> Mahesh. >>>> >>>> -- >>> Pruthuvi Maheshakya Wijewardena >>> [email protected] >>> +94711228855 >>> >>> >>> >> > > > -- > Pruthuvi Maheshakya Wijewardena > [email protected] > +94711228855 > > >
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