Hi Mahesh, Thank you for the update. I will look into your implementation.
And i will be able to send you the timing/performances analysis report > tomorrow for the SGD functions > Great. Sent those asap so that we can proceed. Best regards. On Sun, May 29, 2016 at 6:56 PM, Mahesh Dananjaya <dananjayamah...@gmail.com > wrote: > > Hi maheshakay, > I have implemented the linear regression with cep siddhi event stream > with taking batch sizes as parameters from the cep. Now we can trying the > moving window method to. Before that i think i should get your opinion on > data structures to save the streaming data.please check my repo [1] /gsoc/ > folder there you can find all new things i add.. there in the extension > folder you can find those extension. And i will be able to send you the > timing/performances analysis report tomorrow for the SGD functions. thank > you. > regards, > Mahesh. > [1] https://github.com/dananjayamahesh/GSOC2016/tree/master/gsoc > > > On Fri, May 27, 2016 at 12:56 PM, Mahesh Dananjaya < > dananjayamah...@gmail.com> wrote: > >> Hi maheshkaya, >> i have written some siddhi extension and trying to develop a one for my >> one. In time series example in the [1], can you please explain me the input >> format and query lines in that example for my understanding. >> >> from baseballData#timeseries:regress(2, 10000, 0.95, salary, rbi, walks, >> strikeouts, errors) >> select * >> insert into regResults; >> >> i just want to knwo how i give a set of data into this extension and what >> is baseballData. Is it input stream as usual.or any data file?how can i >> find that data set to create dummy input stream like baseballData? >> >> thank you. >> regards, >> Mahesh. >> [1] >> https://docs.wso2.com/display/CEP400/Writing+a+Custom+Stream+Processor+Extension >> >> On Thu, May 26, 2016 at 2:58 PM, Mahesh Dananjaya < >> dananjayamah...@gmail.com> wrote: >> >>> Hi Maheshakya, >>> today i got the siddhi and debug the math extention. then did some >>> changes and check. Now i am trying to write same kind of extension in my >>> code base. so i add dependencies and it was built fine. Now i am trying to >>> debug my extension and i did the same thing as i did in previous case. Cep >>> is sending data, bu my extension is not firing in relevant break point. >>> 1. So how can i debug the siddhi extension in my new extension.(you can >>> see it in my example repoo) >>> >>> I think if i do it correctly we can built the extension for our purpose. >>> And i will send the relevant timing report of SGD algorithms very soon as >>> supun was asking me. thank you. >>> regards, >>> Mahesh. >>> >>> On Tue, May 24, 2016 at 11:07 AM, Maheshakya Wijewardena < >>> mahesha...@wso2.com> wrote: >>> >>>> Also note that there is a calculation interval in the siddhi time >>>> series regression function[1]. You maybe able get some insight for this >>>> from that as well. >>>> >>>> [1] https://docs.wso2.com/display/CEP400/Regression >>>> >>>> On Tue, May 24, 2016 at 11:03 AM, Maheshakya Wijewardena < >>>> mahesha...@wso2.com> wrote: >>>> >>>>> Hi Mahesh, >>>>> >>>>> As we discussed offline, we can use similar mechanism to train linear >>>>> regression models, logistic regression models and k-means clustering >>>>> models. >>>>> >>>>> It is very interesting that i have found that somethings that can make >>>>>> use of our work. In the cep 4.0 documentation there is a Custom Stream >>>>>> Processor Extention program [1]. There is a example of >>>>>> LinearRegressionStreamProcessor [1]. >>>>>> >>>>> >>>>> As we have to train predictive models with Spark, you can write >>>>> wrappers around regression/clustering models of Spark. Refer to Siddhi >>>>> time >>>>> series regression source codes[1][2]. You can write a streaming linear >>>>> regression class for ML in a similar fashion by wrapping Spark mllib >>>>> implementations. You can use the methods "addEvent", "removeEvent", etc. >>>>> (may have to be changed according to requirements) for the similar >>>>> purpose. >>>>> You can introduce trainLinearRegression/LogisticRegression/Kmeans which >>>>> does a similar thing as in createLinearRegression in those time series >>>>> functions. In the processData method you can use Spark mllib classes to >>>>> actually train models and return the model weights, evaluation metrics. >>>>> So, >>>>> converting streams into RDDs and retrieving information from the trained >>>>> models shall happen in this method. >>>>> >>>>> In the stream processor extension example, you can retrieve those >>>>> values then use them to train new models with new batches. Weights/cluster >>>>> centers maybe passed as initialization parameters for the wrappers. >>>>> >>>>> Please note that we have to figure out the best siddhi extension type >>>>> for this process. In the siddhi query, we define batch size, type of >>>>> algorithm and number of features (there can be more). After batch size >>>>> number of events received, train a model and save parameters, return >>>>> evaluation metric. With the next batch, retrain the model initialized with >>>>> previously learned parameters. >>>>> >>>>> We also may need to test the same scenario with a moving window, but I >>>>> suspect that that approach may become so slow as a model is trained each >>>>> time an event is received. So, we may have to change the number of slots >>>>> the moving window moves at a time (eg: not one by one, but ten by ten). >>>>> >>>>> Once this is resolved, majority of the research part will be finished >>>>> and all we will be left to do is implementing wrappers around the 3 >>>>> learning algorithms we consider. >>>>> >>>>> Best regards. >>>>> >>>>> [1] >>>>> https://github.com/wso2/siddhi/blob/master/modules/siddhi-extensions/timeseries/src/main/java/org/wso2/siddhi/extension/timeseries/linreg/RegressionCalculator.java >>>>> [2] >>>>> https://github.com/wso2/siddhi/blob/master/modules/siddhi-extensions/timeseries/src/main/java/org/wso2/siddhi/extension/timeseries/linreg/SimpleLinearRegressionCalculator.java >>>>> >>>>> >>>>> On Sat, May 21, 2016 at 2:55 PM, Mahesh Dananjaya < >>>>> dananjayamah...@gmail.com> wrote: >>>>> >>>>>> Hi Maheshkya, >>>>>> shall we use [1] for our work? i am checking the possibility. >>>>>> BR, >>>>>> Mahesh. >>>>>> [1] >>>>>> https://docs.wso2.com/display/CEP400/Writing+a+Custom+Stream+Processor+Extension >>>>>> [2] >>>>>> https://docs.wso2.com/display/CEP400/Inbuilt+Windows#InbuiltWindows-lengthlength >>>>>> [3] >>>>>> https://docs.wso2.com/display/CEP400/Writing+a+Custom+Aggregate+Function >>>>>> >>>>>> On Sat, May 21, 2016 at 2:44 PM, Mahesh Dananjaya < >>>>>> dananjayamah...@gmail.com> wrote: >>>>>> >>>>>>> Hi Maheshakya, >>>>>>> It is very interesting that i have found that somethings that can >>>>>>> make use of our work. In the cep 4.0 documentation there is a Custom >>>>>>> Stream >>>>>>> Processor Extention program [1]. There is a example of >>>>>>> LinearRegressionStreamProcessor [1] and also i saw >>>>>>> private int batchSize = 1000000000; i am going through this one. >>>>>>> Please check whether we can use. WIll there be any compatibility or >>>>>>> support issue? >>>>>>> regards, >>>>>>> Mahesh. >>>>>>> >>>>>>> >>>>>>> [1] >>>>>>> https://docs.wso2.com/display/CEP400/Writing+a+Custom+Stream+Processor+Extension >>>>>>> >>>>>>> On Sat, May 21, 2016 at 11:52 AM, Mahesh Dananjaya < >>>>>>> dananjayamah...@gmail.com> wrote: >>>>>>> >>>>>>>> Hi maheshakya, >>>>>>>> anyway how can test any siddhi extention after write it without >>>>>>>> integrating it to cep.can you please explain me the procedure. i am >>>>>>>> referring to [1] [2] [3] [4]. thank you. >>>>>>>> BR, >>>>>>>> Mahesh. >>>>>>>> >>>>>>>> [1] >>>>>>>> https://docs.wso2.com/display/CEP310/Writing+Extensions+to+Siddhi >>>>>>>> [2] https://docs.wso2.com/display/CEP310/Writing+a+Custom+Function >>>>>>>> [3] https://docs.wso2.com/display/CEP310/Writing+a+Custom+Window >>>>>>>> [4] >>>>>>>> https://docs.wso2.com/display/CEP400/Writing+Extensions+to+Siddhi >>>>>>>> >>>>>>>> On Thu, May 19, 2016 at 12:08 PM, Mahesh Dananjaya < >>>>>>>> dananjayamah...@gmail.com> wrote: >>>>>>>> >>>>>>>>> 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 >>>>>>>>>> >>>>>>>>>> >>>>>>>>>> >>>>>>>>> >>>>>>>> >>>>>>> >>>>>> >>>>> >>>>> >>>>> -- >>>>> 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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