Hi Maheshkaya, I have added the moving window method and update the previos StreamingLinearRegression [1] which only performed batch processing with streaming data. and also i added the StreamingKMeansClustering [1] for our purposes and debugged them.thank you. regards, Mahesh. [1] https://github.com/dananjayamahesh/GSOC2016/tree/master/gsoc/siddhi/extension/streaming/src/main/java/org/gsoc/siddhi/extension/streaming
On Sat, Jun 4, 2016 at 5:58 PM, Supun Sethunga <sup...@wso2.com> wrote: > Thanks Mahesh! The graphs look promising! :) > > So by looking at graph, LR with SGD can train a model within 60 secs > (6*10^10 nano sec), using about 900,000 data points . Means, this online > training can handle events/data points coming at rate of 15,000 per second > (or more) , if the batch size is set to 900,000 (or less) or window size is > set to 60 secs (or less). This is great IMO! > > On Sat, Jun 4, 2016 at 10:51 AM, Mahesh Dananjaya < > dananjayamah...@gmail.com> wrote: > >> Hi Maheshakya, >> As you requested i can change other parameters as well such as feature >> size(p). Initially i did it with p=3;sure thing. Anyway you can see and run >> the code if you want. source is at [1]. the test timing is called with >> random data as you requested if you set args[0] to 1. And you can find the >> extension and streaming algorithms in gsoc/ directiry[2]. thank you. >> BR, >> Mahesh. >> [1] >> https://github.com/dananjayamahesh/GSOC2016/blob/master/spark-examples/first-example/src/main/java/org/sparkexample/StreamingLinearRegression.java >> [2] https://github.com/dananjayamahesh/GSOC2016/tree/master/gsoc >> >> On Sat, Jun 4, 2016 at 10:39 AM, Mahesh Dananjaya < >> dananjayamah...@gmail.com> wrote: >> >>> Hi supun, >>> Though i pushed it yesterday, there was some problems with the network. >>> now you can see them in the repo location [1].I added some Matlab plot you >>> can see the patter there.you can use ml also. Ok sure thing. I can prepare >>> a report or else blog if you want. files are as follows. The y axis is in >>> ns and x axis is in batch size. And also i added two pplots as jpegs[2], so >>> you can easily compare. >>> lr_timing_1000.txt -> batch size incremented by 1000 >>> lr_timing_10000.txt -> batch size incremented by 10000 >>> lr_timing_power10.txt -> batch size incremented by power of 10 >>> >>> In here independent variable is only tha batch size.If you want i can >>> send you making other parameters such as step size, number of iteration, >>> feature vector size as independent variables. please let me know if you >>> want further info. thank you. >>> regards, >>> Mahesh. >>> >>> >>> [1 >>> ]https://github.com/dananjayamahesh/GSOC2016/tree/master/spark-examples/first-example/output >>> [2] >>> https://github.com/dananjayamahesh/GSOC2016/blob/master/spark-examples/first-example/output/lr_timing_10000.jpg >>> >>> On Sat, Jun 4, 2016 at 9:58 AM, Supun Sethunga <sup...@wso2.com> wrote: >>> >>>> Hi Mahesh, >>>> >>>> I have added those timing reports to my repo [1]. >>>> >>>> Whats the file name? :) >>>> >>>> Btw, can you compile simple doc (gdoc) with the above results, and >>>> bring everything to one place? That way it is easy to compare, and keep >>>> track. >>>> >>>> Thanks, >>>> Supun >>>> >>>> On Fri, Jun 3, 2016 at 7:23 PM, Mahesh Dananjaya < >>>> dananjayamah...@gmail.com> wrote: >>>> >>>>> Hi Maheshkya, >>>>> I have added those timing reports to my repo [1].please have a look >>>>> at. three files are there. one is using incremet as 1000 for batch sizes >>>>> (lr_timing_1000). Otherone is using incremet by 10000 (lr_timing_10000) >>>>> upto 1 million in both scenarios.you can see the reports and figures in >>>>> the >>>>> location [2] in the repo. i also added the streaminglinearregression >>>>> classes in the repo gsoc folder.thank you. >>>>> regards, >>>>> Mahesh. >>>>> [1]https://github.com/dananjayamahesh/GSOC2016 >>>>> [2] >>>>> https://github.com/dananjayamahesh/GSOC2016/tree/master/spark-examples/first-example/output >>>>> >>>>> On Mon, May 30, 2016 at 9:24 AM, Maheshakya Wijewardena < >>>>> mahesha...@wso2.com> wrote: >>>>> >>>>>> 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 >>>>>> >>>>>> >>>>>> >>>>> >>>> >>>> >>>> -- >>>> *Supun Sethunga* >>>> Senior Software Engineer >>>> WSO2, Inc. >>>> http://wso2.com/ >>>> lean | enterprise | middleware >>>> Mobile : +94 716546324 >>>> >>> >>> >> > > > -- > *Supun Sethunga* > Senior Software Engineer > WSO2, Inc. > http://wso2.com/ > lean | enterprise | middleware > Mobile : +94 716546324 >
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