Hi Maheshakya, Since i already have carbon-ml built in my pc can i use my local repository to install those features in to CEP.is that correct.thank you. regards, Mahesh.
On Mon, May 2, 2016 at 12:20 PM, Mahesh Dananjaya <[email protected] > wrote: > Hi Maheshakya, > Can you please tell me how to find the most recent p2 repository URL to > add machine learner Core, Machine learner commons, Machine learner database > service and ML Siddhi extension to add as features in CEP as describes in > the [1]. When i use http://product-dist.wso2.com/p2/carbon/releases/4.2.0/ > URL those features are not visible in the CEP.Is that not he most recent > one. > BR, > Mahesh. > > [1] > https://docs.wso2.com/display/ML110/WSO2+CEP+Extension+for+ML+Predictions#WSO2CEPExtensionforMLPredictions-Siddhisyntaxfortheextension > > On Mon, May 2, 2016 at 11:28 AM, Mahesh Dananjaya < > [email protected]> wrote: > >> Hi Maheshakya, >> sorry for the incomplete message.I have set up the dev environment and >> now i am trying to remotely debug. The following steps were done. >> 1. build product-cep, carbon-ml and product-ml by source. >> 2. go through their code bases and trying to understand the way and the >> flow you developed. >> 3. i have set up break point in org.wso2.carbon.ml.siddhi.extension in >> carbon-ml >> 4. start the ./wso2server.sh debug 5005 in the SNAPSHOT directory of >> product-ml >> 5. trying to trigger the break points with the [1] reference.break points >> are placed in the PredictStreamProcessor.java file within the extention. >> >> This is the way i followed. I was trying to remotely debug the ML core by >> putting break-points in ml core.(org.wso2.carbon.ml.core) in spark java >> files. Is this the right way to do those things. >> >> [1] >> https://docs.wso2.com/display/ML110/WSO2+CEP+Extension+for+ML+Predictions#WSO2CEPExtensionforMLPredictions-Siddhisyntaxfortheextension >> >> On Mon, May 2, 2016 at 11:19 AM, Mahesh Dananjaya < >> [email protected]> wrote: >> >>> Hi maheshakya, >>> I have set up the dev environment and now i am trying to remotely debug. >>> The following steps were done. >>> 1. build product-cep, carbon-ml and product-ml by source. >>> 2. go through their code bases and trying to understand the way and the >>> flow you developed. >>> 3. i have set up break point in >>> >>> >>> On Thu, Apr 28, 2016 at 7:05 PM, Mahesh Dananjaya < >>> [email protected]> wrote: >>> >>>> 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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