Hi Maheshakya, thank you for the feedback. I have add data-sets into repo. data-sets/lr. I am all right with next week.Now i am writing some examples to collect samples and build mini batches and run the algorithms on those mini-batches. thank you. will add those into repo soon.I am still working on that siddhi extention.i will let you know the progress. BR, mahesh.
On Thu, May 19, 2016 at 11:10 AM, Maheshakya Wijewardena < mahesha...@wso2.com> wrote: > Hi Mahesh, > > I've look into your code sample of streaming linear regression. Looks good > to me, apart from few issues in coding practices which we can improve when > you're doing the implementations in carbon-ml and during the code reviews. > You are using a set of files as mini-batches of data, right? Can you also > send us the datasets you've been using. I'd like to run this. > > does that cep problem is now all right that we were trying to fix. I am >> still using those pre-build versions. If so i can merge with the latest one. > > > I'll check this and let you know. > > Can we arrange a meeting (preferably in WSO2 offices) in next week with ML > team members as well. Coding period begins on next Monday, so it's better > to get overall feedback from others and discuss more about the project. Let > me know convenient time slots for you. I'll arrange a meeting with ML team. > > Best regards. > > On Wed, May 18, 2016 at 9:53 AM, Mahesh Dananjaya < > dananjayamah...@gmail.com> wrote: > >> Hi Maheshakya, >> Ok. I will check it.you have sent me those relevant references and i am >> working on that thing.thank you. does that cep problem is now all right >> that we were trying to fix. I am still using those pre-build versions. If >> so i can merge with the latest one.thanks. >> BR, >> Mahesh. >> >> On Wed, May 18, 2016 at 9:44 AM, Maheshakya Wijewardena < >> mahesha...@wso2.com> wrote: >> >>> Hi Mahesh, >>> >>> You don't actually have to implement anything in spark streaming. Try to >>> understand how streaming data is handled in and the specifics of the >>> underlying algorithms in streaming. >>> What we want to do is having the similar algorithms that support CEP >>> event streams with siddhi. >>> >>> Best regards. >>> >>> On Wed, May 18, 2016 at 9:38 AM, Mahesh Dananjaya < >>> dananjayamah...@gmail.com> wrote: >>> >>>> Hi Maheshakya, >>>> Did you check the repo. I will add recent works today.And also i was >>>> going through the Java docs related to spark streaming work. It is with >>>> that scala API. thank you. >>>> regards, >>>> Mahesh. >>>> >>>> On Tue, May 17, 2016 at 10:11 AM, Mahesh Dananjaya < >>>> dananjayamah...@gmail.com> wrote: >>>> >>>>> Hi Maheshakya, >>>>> I have gone through the Java Docs and run some of the Spark examples >>>>> on spark shell which are paramount improtant for our work. Then i have >>>>> been >>>>> writing my codes to check the Linear regression, K means for streaming. >>>>> please check my git repo [1]. I think now i have to ask on dev regarding >>>>> the capturing event streams for our work. I will update the recent things >>>>> on git. check the park-example directory for java. examples run on git >>>>> shell is not included there. In my case i think i have to build mini >>>>> batches from data streams that comes as individual samples. Now i am >>>>> working on some coding to collect mini batches from data streams.thank >>>>> you. >>>>> regards, >>>>> Mahesh. >>>>> [1]https://github.com/dananjayamahesh/GSOC2016 >>>>> >>>>> On Tue, May 17, 2016 at 10:10 AM, Mahesh Dananjaya < >>>>> dananjayamah...@gmail.com> wrote: >>>>> >>>>>> Hi Maheshakya, >>>>>> I have gone through the Java Docs and run some of the Spark examples >>>>>> on spark shell which are paramount improtant for our work. Then i have >>>>>> been >>>>>> writing my codes to check the Linear regression, K means for streaming. >>>>>> please check my git repo [1]. I think now i have to ask on dev regarding >>>>>> the capturing event streams for our work. I will update the recent things >>>>>> on git. check the park-example directory for java. examples run on git >>>>>> shell is not included there. In my case i think i have to build mini >>>>>> batches from data streams that comes as individual samples. Now i am >>>>>> working on some coding to collect mini batches from data streams.thank >>>>>> you. >>>>>> regards, >>>>>> Mahesh. >>>>>> [1]https://github.com/dananjayamahesh/GSOC2016 >>>>>> >>>>>> On Mon, May 16, 2016 at 1:19 PM, Mahesh Dananjaya < >>>>>> dananjayamah...@gmail.com> wrote: >>>>>> >>>>>>> Hi Maheshakya, >>>>>>> thank you. i will update the repo today.thank you.i changed the >>>>>>> carbon ml siddhi extention and see how the changes are effecting. i will >>>>>>> update the progress as soon as possible.thank you. i had some problem in >>>>>>> spark mllib dependency. i was fixing that. >>>>>>> regards, >>>>>>> Mahesh. >>>>>>> p.s: do i need to maintain a blog? >>>>>>> >>>>>>> On Mon, May 16, 2016 at 10:02 AM, Maheshakya Wijewardena < >>>>>>> mahesha...@wso2.com> wrote: >>>>>>> >>>>>>>> Hi Mahesh, >>>>>>>> >>>>>>>> Sorry for replying late. >>>>>>>> >>>>>>>> Thank you for the update. I believe you have done some >>>>>>>> implementations with with Spark MLLIb algorithms in streaming fashion >>>>>>>> as we >>>>>>>> have discussed. If so, can you please share your code in a Github repo. >>>>>>>> >>>>>>>> Now i want to implements some machine learning algorithms with >>>>>>>>> importing mllib and want to run within your code base >>>>>>>>> >>>>>>>> >>>>>>>> For the moment you can try out editing the same class >>>>>>>> PredictStreamProcessor in the siddhi extension in carbon-ml. Later we >>>>>>>> will >>>>>>>> add this separately. You should be able to add org.apache.spark.mllib. >>>>>>>> classes to there. >>>>>>>> >>>>>>>> And i want to see how event streams are coming from cep. As i think >>>>>>>>> it is not in a RDD format since it is arriving as the individual >>>>>>>>> samples. I >>>>>>>>> will send a email to dev asking about how to get the streams. >>>>>>>> >>>>>>>> >>>>>>>> Please pay attention to length[1] and lengthbatch[1] inbuilt >>>>>>>> windows in siddhi. What you need to write are functions similar to a >>>>>>>> custom >>>>>>>> aggregate function[2]. >>>>>>>> When you send the email to dev list, explain your requirement. You >>>>>>>> need to get a set of event with from a stream with a specified window >>>>>>>> size >>>>>>>> (number of events). Then build a model within that function. You also >>>>>>>> need >>>>>>>> to retain the data (learned weights, cluster centers, etc.) from the >>>>>>>> previous window to use in the current window. Ask what can be the most >>>>>>>> suitable option for this among the set of siddhi extensions given. >>>>>>>> >>>>>>>> Best regards. >>>>>>>> >>>>>>>> [1] >>>>>>>> https://docs.wso2.com/display/CEP400/Inbuilt+Windows#InbuiltWindows-lengthlength >>>>>>>> [2] >>>>>>>> https://docs.wso2.com/display/CEP400/Writing+a+Custom+Aggregate+Function >>>>>>>> >>>>>>>> On Wed, May 11, 2016 at 1:43 PM, Mahesh Dananjaya < >>>>>>>> dananjayamah...@gmail.com> wrote: >>>>>>>> >>>>>>>>> >>>>>>>>> ---------- Forwarded message ---------- >>>>>>>>> From: Mahesh Dananjaya <dananjayamah...@gmail.com> >>>>>>>>> Date: Wed, May 11, 2016 at 1:43 PM >>>>>>>>> Subject: Re: [Dev] GSOC2016: [ML][CEP] Predictive analytic with >>>>>>>>> online data for WSO2 Machine Learner >>>>>>>>> To: Maheshakya Wijewardena <mahesha...@wso2.com> >>>>>>>>> >>>>>>>>> >>>>>>>>> Hi Maheshakya, >>>>>>>>> sorry for not updating. I did what you wanted me to do. I checked >>>>>>>>> the code base and train functions. I went through those java docs. I >>>>>>>>> went >>>>>>>>> through the carbon-ml current implementation of LG and K-Mean. And i >>>>>>>>> had >>>>>>>>> Apache Spark and i tried with several examples. Now i want to >>>>>>>>> implements >>>>>>>>> some machine learning algorithms with importing mllib and want to run >>>>>>>>> within your code base. Can you help me with that. >>>>>>>>> And i want to see how event streams are coming from cep. As i >>>>>>>>> think it is not in a RDD format since it is arriving as the individual >>>>>>>>> samples. I will send a email to dev asking about how to get the >>>>>>>>> streams. I >>>>>>>>> debugged many of those functions in the code base. So need further >>>>>>>>> instructions to proceed.thank you. >>>>>>>>> regards, >>>>>>>>> Mahesh. >>>>>>>>> >>>>>>>>> On Wed, May 11, 2016 at 10:32 AM, Maheshakya Wijewardena < >>>>>>>>> mahesha...@wso2.com> wrote: >>>>>>>>> >>>>>>>>>> Hi Mahesh, >>>>>>>>>> >>>>>>>>>> Any update on your progress? >>>>>>>>>> >>>>>>>>>> Best regards. >>>>>>>>>> >>>>>>>>>> On Wed, May 4, 2016 at 8:35 PM, Maheshakya Wijewardena < >>>>>>>>>> mahesha...@wso2.com> wrote: >>>>>>>>>> >>>>>>>>>>> Hi Mahesh, >>>>>>>>>>> >>>>>>>>>>> is that "Put break points in train methods in Linear Regression >>>>>>>>>>>> class" means the spark/algorithms/ LinearRegrassion.java class in >>>>>>>>>>>> the >>>>>>>>>>>> org.wso2.carbon.ml.core? is that the correct file? >>>>>>>>>>> >>>>>>>>>>> >>>>>>>>>>> Yes, this is the correct place. >>>>>>>>>>> >>>>>>>>>>> You can refer to spark programming guide[1][2] as well as our ML >>>>>>>>>>> code base when you try those algorithms out. Please try to do rough >>>>>>>>>>> implementations of the streaming versions of linear regression, >>>>>>>>>>> logistic >>>>>>>>>>> regression and k-means clustering as we have discussed in the >>>>>>>>>>> proposal in >>>>>>>>>>> plain Java. It's better if you can create a git repo and share your >>>>>>>>>>> code >>>>>>>>>>> once you have made some progress. >>>>>>>>>>> >>>>>>>>>>> Were you able debug and understand the flow of the ML siddhi >>>>>>>>>>> extension? I hope you haven't encountered more errors after >>>>>>>>>>> switching the >>>>>>>>>>> released version of CEP. >>>>>>>>>>> >>>>>>>>>>> Is this Friday okay for you? Afternoon at 2:00 pm? >>>>>>>>>>> >>>>>>>>>>> Best regards. >>>>>>>>>>> >>>>>>>>>>> >>>>>>>>>>> Best regards. >>>>>>>>>>> >>>>>>>>>>> [1] http://spark.apache.org/docs/latest/programming-guide.html >>>>>>>>>>> [2] http://spark.apache.org/docs/latest/mllib-guide.html >>>>>>>>>>> >>>>>>>>>>> On Wed, May 4, 2016 at 1:07 PM, Mahesh Dananjaya < >>>>>>>>>>> dananjayamah...@gmail.com> wrote: >>>>>>>>>>> >>>>>>>>>>>> Hi Maheshakya, >>>>>>>>>>>> I have been looking into some algorithms related to stochastic >>>>>>>>>>>> gradient descent based algorithms.anything i should focus please >>>>>>>>>>>> let me >>>>>>>>>>>> know.Ans also i will be available for calling this week and next >>>>>>>>>>>> week.thank >>>>>>>>>>>> you. >>>>>>>>>>>> BR, >>>>>>>>>>>> Mahesh. >>>>>>>>>>>> >>>>>>>>>>>> On Tue, May 3, 2016 at 5:05 PM, Mahesh Dananjaya < >>>>>>>>>>>> dananjayamah...@gmail.com> wrote: >>>>>>>>>>>> >>>>>>>>>>>>> Hi Maheshakya, >>>>>>>>>>>>> thank you.that's good. i have been trying to fix that for >>>>>>>>>>>>> couple of days. please inform me when it will be fixed.now i have >>>>>>>>>>>>> been >>>>>>>>>>>>> testing the ML algorithms and trying to identify the flow and the >>>>>>>>>>>>> hierarchy. is that "Put break points in train methods in Linear >>>>>>>>>>>>> Regression >>>>>>>>>>>>> class" means the spark/algorithms/ LinearRegrassion.java class in >>>>>>>>>>>>> the >>>>>>>>>>>>> org.wso2.carbon.ml.core? is that the correct file? >>>>>>>>>>>>> And also i am planning to write some programs to use apache >>>>>>>>>>>>> spark mllib algorithms. and i refer to [1] and some wso2 >>>>>>>>>>>>> documentations to >>>>>>>>>>>>> get some idea about ML structure.thank you. >>>>>>>>>>>>> >>>>>>>>>>>>> BR, >>>>>>>>>>>>> Mahesh. >>>>>>>>>>>>> >>>>>>>>>>>>> [1]nirmalfdo.blogspot.com >>>>>>>>>>>>> >>>>>>>>>>>>> On Tue, May 3, 2016 at 4:36 PM, Maheshakya Wijewardena < >>>>>>>>>>>>> mahesha...@wso2.com> wrote: >>>>>>>>>>>>> >>>>>>>>>>>>>> Hi Mahesh, >>>>>>>>>>>>>> >>>>>>>>>>>>>> I have checked. It seems the issue you have encountered is >>>>>>>>>>>>>> cause only in the current development branch of the product-cep. >>>>>>>>>>>>>> It doesn't >>>>>>>>>>>>>> identify the ML siddhi extension as an extension. ML siddhi >>>>>>>>>>>>>> extension works >>>>>>>>>>>>>> fine in the latest release of CEP (4.1.0) [1]. >>>>>>>>>>>>>> Until we figure out the reason and come up with a solution, >>>>>>>>>>>>>> can you use the latest CEP release for your work. It's fine to >>>>>>>>>>>>>> use that >>>>>>>>>>>>>> since you haven't started actual development yet. >>>>>>>>>>>>>> >>>>>>>>>>>>>> Best regards. >>>>>>>>>>>>>> >>>>>>>>>>>>>> [1] http://wso2.com/products/complex-event-processor/ >>>>>>>>>>>>>> >>>>>>>>>>>>>> On Tue, May 3, 2016 at 3:19 PM, Maheshakya Wijewardena < >>>>>>>>>>>>>> mahesha...@wso2.com> wrote: >>>>>>>>>>>>>> >>>>>>>>>>>>>>> Hi Mahesh, >>>>>>>>>>>>>>> >>>>>>>>>>>>>>> >>>>>>>>>>>>>>>> Is is vital to use those local repo in my upcoming >>>>>>>>>>>>>>>> implementation? >>>>>>>>>>>>>>> >>>>>>>>>>>>>>> >>>>>>>>>>>>>>> Yes. The remote p2-repo contains the p2-repos of released >>>>>>>>>>>>>>> versions. What you have to develop on is the current master of >>>>>>>>>>>>>>> the >>>>>>>>>>>>>>> carbon-ml and product-ml. You can try out with the modification >>>>>>>>>>>>>>> I have >>>>>>>>>>>>>>> suggested. In the meantime, I'll verify whether the current >>>>>>>>>>>>>>> repos are >>>>>>>>>>>>>>> working as expected. >>>>>>>>>>>>>>> >>>>>>>>>>>>>>> And also i am trying to debug the carbon-ml >>>>>>>>>>>>>>>> org.wso2.carbon.ml.core by putting some break point in the >>>>>>>>>>>>>>>> spark/algorithms/Linear Regression >>>>>>>>>>>>>>> >>>>>>>>>>>>>>> >>>>>>>>>>>>>>> It's great that you have started looking at the >>>>>>>>>>>>>>> implementation of linear regression as well. Put break points >>>>>>>>>>>>>>> in train >>>>>>>>>>>>>>> methods in LinearRegression class. This is being used when you >>>>>>>>>>>>>>> run linear >>>>>>>>>>>>>>> regression from UI. >>>>>>>>>>>>>>> >>>>>>>>>>>>>>> I can see some comments left behind for streaming algo as >>>>>>>>>>>>>>>> well.thank you >>>>>>>>>>>>>>> >>>>>>>>>>>>>>> >>>>>>>>>>>>>>> You may be referring to the linear regression with SGD >>>>>>>>>>>>>>> model. Here, there's no retraining with streaming data >>>>>>>>>>>>>>> involved. The SGD >>>>>>>>>>>>>>> with minibatches is used to train the model with the data set >>>>>>>>>>>>>>> only once. >>>>>>>>>>>>>>> What you have to do is create a similar mechanism to involve >>>>>>>>>>>>>>> streaming data and retrain models. We will get to that part >>>>>>>>>>>>>>> once you get >>>>>>>>>>>>>>> comfortable with siddhi extensions. >>>>>>>>>>>>>>> >>>>>>>>>>>>>>> BTW, is it possible for you to join a call on this Friday >>>>>>>>>>>>>>> or in the next week. We'll try to resolve your current issues >>>>>>>>>>>>>>> and discuss >>>>>>>>>>>>>>> further on project. >>>>>>>>>>>>>>> >>>>>>>>>>>>>>> Best regards. >>>>>>>>>>>>>>> >>>>>>>>>>>>>>> On Tue, May 3, 2016 at 1:03 PM, Mahesh Dananjaya < >>>>>>>>>>>>>>> dananjayamah...@gmail.com> wrote: >>>>>>>>>>>>>>> >>>>>>>>>>>>>>>> Hi maheshakya, >>>>>>>>>>>>>>>> Is it ok to go with p2 repo at >>>>>>>>>>>>>>>> http://product-dist.wso2.com/p2/carbon/releases/wilkes/features/ >>>>>>>>>>>>>>>> rather than the P2-repo at >>>>>>>>>>>>>>>> product-ml/modules/p2-profile/target/p2-repo in >>>>>>>>>>>>>>>> local repo.What is the impact?.Is is vital to use those local >>>>>>>>>>>>>>>> repo in my >>>>>>>>>>>>>>>> upcoming implementation?so i was trying to give remote p2 repo >>>>>>>>>>>>>>>> to cep built >>>>>>>>>>>>>>>> by source and trying to debug the cep ml extension and got the >>>>>>>>>>>>>>>> same error >>>>>>>>>>>>>>>> as yesterday. But pre-built product is working fine. >>>>>>>>>>>>>>>> Therefore now i am >>>>>>>>>>>>>>>> trying as you described in the last email. >>>>>>>>>>>>>>>> >>>>>>>>>>>>>>>> And also i am trying to debug the carbon-ml >>>>>>>>>>>>>>>> org.wso2.carbon.ml.core by putting some break point in the >>>>>>>>>>>>>>>> spark/algorithms/Linear Regression. I am trying to trigger it >>>>>>>>>>>>>>>> with >>>>>>>>>>>>>>>> product-ml project with data set. Does that Linear Regression >>>>>>>>>>>>>>>> also in UI is >>>>>>>>>>>>>>>> consuming that spark algorithms or is it in another place? I >>>>>>>>>>>>>>>> can see some >>>>>>>>>>>>>>>> comments left behind for streaming algo as well.thank you. >>>>>>>>>>>>>>>> BR, >>>>>>>>>>>>>>>> Mahesh. >>>>>>>>>>>>>>>> >>>>>>>>>>>>>>>> On Tue, May 3, 2016 at 9:35 AM, Maheshakya Wijewardena < >>>>>>>>>>>>>>>> mahesha...@wso2.com> wrote: >>>>>>>>>>>>>>>> >>>>>>>>>>>>>>>>> Hi Mahesh, >>>>>>>>>>>>>>>>> >>>>>>>>>>>>>>>>> The earlier error you have mentioned may occur due to the >>>>>>>>>>>>>>>>> incompatible Siddhi versions in ML p2-repo and CEP, when you >>>>>>>>>>>>>>>>> add the >>>>>>>>>>>>>>>>> p2-repo from prodcut-ml you built. >>>>>>>>>>>>>>>>> Current siddhi version in product-cep is >>>>>>>>>>>>>>>>> 3.0.6-SNAPSHOT[1], but in ML it's 3.0.2. >>>>>>>>>>>>>>>>> >>>>>>>>>>>>>>>>> Can you try changing the siddhi.version in >>>>>>>>>>>>>>>>> carbon-ml/pom.xml to 3.0.6-SNAPSHOT, build carbon-ml, then >>>>>>>>>>>>>>>>> build product-ml >>>>>>>>>>>>>>>>> again. After this, add p2-repo as a local repository again to >>>>>>>>>>>>>>>>> fresh CEP >>>>>>>>>>>>>>>>> pack and try it out. >>>>>>>>>>>>>>>>> >>>>>>>>>>>>>>>>> Best regards. >>>>>>>>>>>>>>>>> >>>>>>>>>>>>>>>>> On Mon, May 2, 2016 at 7:02 PM, Mahesh Dananjaya < >>>>>>>>>>>>>>>>> dananjayamah...@gmail.com> wrote: >>>>>>>>>>>>>>>>> >>>>>>>>>>>>>>>>>> Hi Maheshakya, >>>>>>>>>>>>>>>>>> now i remotely debug the CEP extension for ML Prediction. >>>>>>>>>>>>>>>>>> What i did was, i have all the pre-build version of CEP and >>>>>>>>>>>>>>>>>> ML. Therefore i >>>>>>>>>>>>>>>>>> used that built CEP and did the same thing that i was doing >>>>>>>>>>>>>>>>>> with the source >>>>>>>>>>>>>>>>>> code. I think the only change i did was install those >>>>>>>>>>>>>>>>>> packages from remote >>>>>>>>>>>>>>>>>> p2 repo. This was work fine and i debugged the carbon-ml >>>>>>>>>>>>>>>>>> org.wso2.carbon.ml.siddhi.extension as described in the [1]. >>>>>>>>>>>>>>>>>> So now i have >>>>>>>>>>>>>>>>>> to try same thing with the build by source content.thank you. >>>>>>>>>>>>>>>>>> >>>>>>>>>>>>>>>>>> [1] >>>>>>>>>>>>>>>>>> https://docs.wso2.com/display/ML110/WSO2+CEP+Extension+for+ML+Predictions#WSO2CEPExtensionforMLPredictions-Siddhisyntaxfortheextension >>>>>>>>>>>>>>>>>> >>>>>>>>>>>>>>>>>> BR, >>>>>>>>>>>>>>>>>> Mahesh >>>>>>>>>>>>>>>>>> >>>>>>>>>>>>>>>>>> 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 >>>>>>>>>>>>>>>>> >>>>>>>>>>>>>>>>> >>>>>>>>>>>>>>>>> >>>>>>>>>>>>>>>> >>>>>>>>>>>>>>> >>>>>>>>>>>>>>> >>>>>>>>>>>>>>> -- >>>>>>>>>>>>>>> Pruthuvi Maheshakya Wijewardena >>>>>>>>>>>>>>> mahesha...@wso2.com >>>>>>>>>>>>>>> +94711228855 >>>>>>>>>>>>>>> >>>>>>>>>>>>>>> >>>>>>>>>>>>>>> >>>>>>>>>>>>>> >>>>>>>>>>>>>> >>>>>>>>>>>>>> -- >>>>>>>>>>>>>> Pruthuvi Maheshakya Wijewardena >>>>>>>>>>>>>> mahesha...@wso2.com >>>>>>>>>>>>>> +94711228855 >>>>>>>>>>>>>> >>>>>>>>>>>>>> >>>>>>>>>>>>>> >>>>>>>>>>>>> >>>>>>>>>>>> >>>>>>>>>>> >>>>>>>>>>> >>>>>>>>>>> -- >>>>>>>>>>> Pruthuvi Maheshakya Wijewardena >>>>>>>>>>> mahesha...@wso2.com >>>>>>>>>>> +94711228855 >>>>>>>>>>> >>>>>>>>>>> >>>>>>>>>>> >>>>>>>>>> >>>>>>>>>> >>>>>>>>>> -- >>>>>>>>>> Pruthuvi Maheshakya Wijewardena >>>>>>>>>> mahesha...@wso2.com >>>>>>>>>> +94711228855 >>>>>>>>>> >>>>>>>>>> >>>>>>>>>> >>>>>>>>> >>>>>>>>> >>>>>>>>> _______________________________________________ >>>>>>>>> Dev mailing list >>>>>>>>> Dev@wso2.org >>>>>>>>> http://wso2.org/cgi-bin/mailman/listinfo/dev >>>>>>>>> >>>>>>>>> >>>>>>>> >>>>>>>> >>>>>>>> -- >>>>>>>> Pruthuvi Maheshakya Wijewardena >>>>>>>> mahesha...@wso2.com >>>>>>>> +94711228855 >>>>>>>> >>>>>>>> >>>>>>>> >>>>>>> >>>>>> >>>>> >>>> >>> >>> >>> -- >>> Pruthuvi Maheshakya Wijewardena >>> mahesha...@wso2.com >>> +94711228855 >>> >>> >>> >> > > > -- > Pruthuvi Maheshakya Wijewardena > mahesha...@wso2.com > +94711228855 > > >
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