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 <dananjayamah...@gmail.com > 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 < > dananjayamah...@gmail.com> 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 < >> dananjayamah...@gmail.com> wrote: >> >>> Hi Maheshakya, >>> ok.i got it.thank you. >>> regards, >>> Mahesh. >>> >>> On Thu, Apr 28, 2016 at 6:56 PM, Maheshakya Wijewardena < >>> mahesha...@wso2.com> 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 < >>>> dananjayamah...@gmail.com> 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 < >>>>> mahesha...@wso2.com> 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 < >>>>>> dananjayamah...@gmail.com> 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 >>>>>> mahesha...@wso2.com >>>>>> +94711228855 >>>>>> >>>>>> >>>>>> >>>>> >>>> >>>> >>>> -- >>>> Pruthuvi Maheshakya Wijewardena >>>> mahesha...@wso2.com >>>> +94711228855 >>>> >>>> >>>> >>> >> >
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