Hi Nirmal, I am in the middle of trying some options to connect samoa with cep for prediction. There are couple of options.Since there are lack of documentation and lack of support from the samoa dev email list, Thing is that i have to go through all the project to implement even a small topology on my own. I am implementing samoa example topologies for our exact goal. But i think this is something large in scope. I am in the middle of converting cep siddhi event streams into some samoa streams and convert result samoa streams back to cep streams. I am writing couple of examples for that. Sorry for not updating by email, But i have putting my examples into my gsoc repository [1]. I will push latest changes to couple of modules. I was discussing wit the Maheshakaya to arrange meeting with team next thursday or friday.Please let me know a convenient day. looking forward to some of the advices from you there. This integration can be done, but it will take some time for that, because i have to go through all samoa things. ANyway i could connect samoa output streams with the custom stream outside it [2]. Connecting the custom streams to samoa streams is challenging. I have couple of options that can be used without exploiting samoa architecture. I will discuss with you guys when i will be meeting you. Anyway i think i have already implemented our intial goal with spark. will try to finish Samoa thing as soon as i can.thank you. regards, Mahesh.
P.s: If anyone having knowledge on WEKA or MOA streams and instance, it will be very helpful.because what i am doing now is converting cep events into samoa Instance and feed it to the stream. [1] https://github.com/dananjayamahesh/GSOC2016/tree/master/gsoc/samoa/streaming [2] https://github.com/dananjayamahesh/GSOC2016/tree/master/gsoc/samoa/streaming/src/main/java/org/gsoc/samoa/streaming On Tue, Jul 26, 2016 at 10:25 AM, Nirmal Fernando <[email protected]> wrote: > Hi Mahesh, > > What's the status of the project? > > On Thu, Jul 14, 2016 at 10:28 AM, Mahesh Dananjaya < > [email protected]> wrote: > >> Hi Maheshakya, >> I am building and running samoa to see its functionality. In samoa still >> we have limited supports in algorithms. Samoa supports only classification >> and clustering with streams. It also use kind of StreamProcessor, like the >> one we use in StreamProcessor extension. I was getting started with Samoa >> referring to this page [1]. Then i ran couple of examples to identified the >> flow. Samoa use hadoop framework instead spark for distribution. But i am >> using it in a local mode. When i see the Samoa core there is only limited >> algorithms. IMO if we are going to use Samoa we have to limit the >> functionality and algorithms [2]. When i go to developer corner in [3], it >> seems to be something like CEP extension that we are using currenlty. SO in >> Samoa though the algorihtms are limited, they have implemented streaming >> support for them. Therefore if we integrate it into CEP we have to look for >> how to handle streams and algorithms in Samoa side. Is it good for your >> side to have both hadoop and spark running background.thank you. >> regards, >> Mahesh. >> >> [1] https://samoa.incubator.apache.org/documentation/Home.html >> [2] >> https://samoa.incubator.apache.org/documentation/api/current/index.html >> >> >> On Wed, Jun 22, 2016 at 11:51 AM, Mahesh Dananjaya < >> [email protected]> wrote: >> >>> Hi Maheshakya, >>> can i give external data sources like data from database , data from >>> HDFS to generate events in the cep event simulator rather than giving a >>> file. i saw "Switch to upload file for simulation" in the input Data By >>> Data Source in the event simulator. How can i feed data real time from >>> other sources or directly as data generating from remote server as JSON or >>> etc... What format the database should be.This is just for my >>> knowledge.thank you. >>> regards, >>> Mahesh. >>> >>> On Wed, Jun 22, 2016 at 10:59 AM, Mahesh Dananjaya < >>> [email protected]> wrote: >>> >>>> Hi Nirmal, >>>> *This is what i have done so far in the GSOC2016,* >>>> >>>> - prior research before SGD (Stochastic Gradient Descent) >>>> optimization techniques and mini-batch processing >>>> - Getting familiar and writing extensions to siddhi >>>> - Wrote a Stream Processor extensions for streaming application and >>>> machine learning algorithms (Linear Regression,KMeans & Logistic >>>> Regression) >>>> - Developed a Streaming Linear Regression class for periodically >>>> retrain models as mini batch processing with SGD >>>> - Extend the functionality for Moving Window Mini Batch Processing >>>> with SGD providing windowShift which control data horizon and data >>>> obsolescences >>>> - Performance evaluation of the implementation >>>> - Adding Streaming Linear Regression class and Stream Processor >>>> extension to carbon-ml >>>> >>>> >>>> *As a next step,* >>>> >>>> - Adding Persisting temporal models for applications such as >>>> prediction >>>> - complete Streaming Kmeans clustering and Logistic Regression >>>> classes >>>> - Improve batching and streaming mechanisms >>>> - improve visualization(optional) >>>> - and writing examples and documentation >>>> >>>> regards, >>>> >>>> Mahesh. >>>> >>>> On Wed, Jun 22, 2016 at 10:28 AM, Maheshakya Wijewardena < >>>> [email protected]> wrote: >>>> >>>>> Sorry, you need to put the returned values of the function into the >>>>> output stream >>>>> >>>>> from LinRegInput#ml:streamlinreg(1, 2, 4, 100, 0.00000001, 1.0, 0.95, >>>>> salary, rbi, walks, strikeouts, errors) >>>>> >>>>> >>>>> >>>>> *select mseinsert into LinregOutput;* >>>>> or >>>>> >>>>> from LinRegInput#ml:streamlinreg(1, 2, 4, 100, 0.00000001, 1.0, 0.95, >>>>> salary, rbi, walks, strikeouts, errors) >>>>> select * >>>>> insert into LinregOutput; >>>>> >>>>> where LinregOutput stream definition contains all attributes: mse, >>>>> intercept, beta1, .... >>>>> >>>>> On Wed, Jun 22, 2016 at 10:24 AM, Maheshakya Wijewardena < >>>>> [email protected]> wrote: >>>>> >>>>>> Hi Mahesh, >>>>>> >>>>>> In your output stream, you need to list all the attributes that are >>>>>> returned from the streamlinreg function: mse, intercept, beta1, .... >>>>>> Can you try that? >>>>>> >>>>>> On Wed, Jun 22, 2016 at 10:06 AM, Mahesh Dananjaya < >>>>>> [email protected]> wrote: >>>>>> >>>>>>> Hi Maheshakya, >>>>>>> This is the full query i used. >>>>>>> >>>>>>> @Import('LinRegInput:1.0.0') >>>>>>> >>>>>>> define stream LinRegInput (salary double, rbi double, walks double, >>>>>>> strikeouts double, errors double); >>>>>>> >>>>>>> @Export('LinRegOutput:1.0.0') >>>>>>> >>>>>>> define stream LinregOutput (mse double); >>>>>>> >>>>>>> from LinRegInput#ml:streamlinreg(1, 2, 4, 100, 0.00000001, 1.0, >>>>>>> 0.95, salary, rbi, walks, strikeouts, errors) >>>>>>> >>>>>>> select * >>>>>>> insert into mse; >>>>>>> >>>>>>> but i am sending [mse,intercept,beta1....betap] as a outputData >>>>>>> Object[]. SO how can i publish all these infomation on event publisher. >>>>>>> regards, >>>>>>> Mahesh. >>>>>>> >>>>>>> On Tue, Jun 21, 2016 at 6:10 PM, Nirmal Fernando <[email protected]> >>>>>>> wrote: >>>>>>> >>>>>>>> Hi Mahesh, >>>>>>>> >>>>>>>> Can you summarize the work we have done so far and the remaining >>>>>>>> work items please? >>>>>>>> >>>>>>>> Thanks. >>>>>>>> >>>>>>>> On Tue, Jun 21, 2016 at 5:56 PM, Mahesh Dananjaya < >>>>>>>> [email protected]> wrote: >>>>>>>> >>>>>>>>> Hi Maheshakya, >>>>>>>>> I have updated the repo [2] and upto date documents can be found >>>>>>>>> at [1].thank you. >>>>>>>>> regards, >>>>>>>>> Mahesh. >>>>>>>>> [1] >>>>>>>>> https://github.com/dananjayamahesh/GSOC2016/tree/master/gsoc/siddhi/extension/streaming >>>>>>>>> [2] >>>>>>>>> https://github.com/dananjayamahesh/carbon-ml/tree/wso2_gsoc_ml6_cml >>>>>>>>> >>>>>>>>> >>>>>>>>> On Tue, Jun 21, 2016 at 5:08 PM, Mahesh Dananjaya < >>>>>>>>> [email protected]> wrote: >>>>>>>>> >>>>>>>>>> >>>>>>>>>> ---------- Forwarded message ---------- >>>>>>>>>> From: Mahesh Dananjaya <[email protected]> >>>>>>>>>> Date: Tue, Jun 21, 2016 at 5:08 PM >>>>>>>>>> Subject: Re: [Dev] Fwd: GSOC2016: [ML][CEP] Predictive analytic >>>>>>>>>> with online data for WSO2 Machine Learner >>>>>>>>>> To: Maheshakya Wijewardena <[email protected]> >>>>>>>>>> >>>>>>>>>> >>>>>>>>>> Hi Maheshakya, >>>>>>>>>> new query is like this adding spport for moving window methods. >>>>>>>>>> >>>>>>>>>> >>>>>>>>>> @Import('LinRegInput:1.0.1') >>>>>>>>>> define stream LinRegInput (salary double, rbi double, walks >>>>>>>>>> double, strikeouts double, errors double); >>>>>>>>>> >>>>>>>>>> @Export('LinRegOutput:1.0.1') >>>>>>>>>> define stream LinRegOutput (mse double); >>>>>>>>>> >>>>>>>>>> from LinRegInput#ml:streamlinreg(1, 2, 4, 100, 0.00000001, 1.0, >>>>>>>>>> 0.95, salary, rbi, walks, strikeouts, errors) >>>>>>>>>> select * >>>>>>>>>> insert into mse; >>>>>>>>>> 1=learnType >>>>>>>>>> 2=windowShift >>>>>>>>>> 4=batchSize....... >>>>>>>>>> >>>>>>>>>> windowShift is added to configure the amount of shift. i have >>>>>>>>>> added log.infe(mse) to view the MSE. >>>>>>>>>> Mahesh. >>>>>>>>>> >>>>>>>>>> On Tue, Jun 21, 2016 at 2:33 PM, Maheshakya Wijewardena < >>>>>>>>>> [email protected]> wrote: >>>>>>>>>> >>>>>>>>>>> Hi Mahesh, >>>>>>>>>>> >>>>>>>>>>> If you are installing features from new p2 repo into a new CEP >>>>>>>>>>> pack, then you wont need to replace those jars. >>>>>>>>>>> If you have already installed those in the CEP from a previous >>>>>>>>>>> p2-repo, then you have to un-install those features and reinstall >>>>>>>>>>> with new >>>>>>>>>>> p2 repo. But you don't need to do this because you can just replace >>>>>>>>>>> the >>>>>>>>>>> jar. It's easy. >>>>>>>>>>> >>>>>>>>>>> Best regards. >>>>>>>>>>> >>>>>>>>>>> On Tue, Jun 21, 2016 at 2:26 PM, Mahesh Dananjaya < >>>>>>>>>>> [email protected]> wrote: >>>>>>>>>>> >>>>>>>>>>>> Hi Maheshakya, >>>>>>>>>>>> If i built the carbon-ml then product-ml and point new p2 >>>>>>>>>>>> repository to cep features, do i need to copy that >>>>>>>>>>>> org.wso2.carbon.ml.siddhi.extension1.1..... thing into >>>>>>>>>>>> cep_home/repository/component/... place. >>>>>>>>>>>> regards, >>>>>>>>>>>> Mahesh. >>>>>>>>>>>> >>>>>>>>>>>> On Thu, Jun 16, 2016 at 6:39 PM, Mahesh Dananjaya < >>>>>>>>>>>> [email protected]> wrote: >>>>>>>>>>>> >>>>>>>>>>>>> In MLModelhandler there's persistModel method >>>>>>>>>>>>> debug that method while trying to train a model from ML >>>>>>>>>>>>> you can see the steps it takes >>>>>>>>>>>>> don't use deep learning algorithm >>>>>>>>>>>>> any other algorithm would work >>>>>>>>>>>>> from line 777 is the section for creating the serializable >>>>>>>>>>>>> object from trained model and saving it >>>>>>>>>>>>> >>>>>>>>>>>>> >>>>>>>>>>>>> I think you don't need to directly use ML model handler >>>>>>>>>>>>> you need to use the code in that for persisting models in the >>>>>>>>>>>>> streaming algorithm >>>>>>>>>>>>> so you can add a utils class in the streaming folder >>>>>>>>>>>>> then add the persisting logic there >>>>>>>>>>>>> ignore the deeplearning section in that >>>>>>>>>>>>> only forcus on persisting spark mod >>>>>>>>>>>>> >>>>>>>>>>>>> On Wed, Jun 15, 2016 at 4:11 PM, Mahesh Dananjaya < >>>>>>>>>>>>> [email protected]> wrote: >>>>>>>>>>>>> >>>>>>>>>>>>>> Hi Maheshakya, >>>>>>>>>>>>>> I pushed the StreamingLinearRegression modules into my forked >>>>>>>>>>>>>> carbon-ml repo at branch wso2_gsoc_ml6_cml [1]. I am working on >>>>>>>>>>>>>> persisting >>>>>>>>>>>>>> model.thank you. >>>>>>>>>>>>>> Mahesh. >>>>>>>>>>>>>> [1] https://github.com/dananjayamahesh/carbon-ml >>>>>>>>>>>>>> >>>>>>>>>>>>>> On Tue, Jun 14, 2016 at 5:56 PM, Mahesh Dananjaya < >>>>>>>>>>>>>> [email protected]> wrote: >>>>>>>>>>>>>> >>>>>>>>>>>>>>> yes >>>>>>>>>>>>>>> you should develop in tha fork repo >>>>>>>>>>>>>>> clone your forked repo >>>>>>>>>>>>>>> then go into that >>>>>>>>>>>>>>> then add upstream repo as original wso2 repo >>>>>>>>>>>>>>> see the remote tracking branchs by >>>>>>>>>>>>>>> git remote -v >>>>>>>>>>>>>>> you will see the origin as your forked repo >>>>>>>>>>>>>>> to add upstream >>>>>>>>>>>>>>> git remote add upstream <wso2 repo> >>>>>>>>>>>>>>> when you change something create a new branch by >>>>>>>>>>>>>>> git checkout -b new_branch_name >>>>>>>>>>>>>>> then add and commit to this branch >>>>>>>>>>>>>>> after that push to the forked by >>>>>>>>>>>>>>> git push origin new_branch_name >>>>>>>>>>>>>>> >>>>>>>>>>>>>>> On Tue, Jun 14, 2016 at 5:32 PM, Mahesh Dananjaya < >>>>>>>>>>>>>>> [email protected]> wrote: >>>>>>>>>>>>>>> >>>>>>>>>>>>>>>> Hi Maheshakya, >>>>>>>>>>>>>>>> the above error is due to a simple mistake of not providing >>>>>>>>>>>>>>>> my local p2 repo.Now it is working and i debugged the >>>>>>>>>>>>>>>> StreamingLinearRegression model cep. >>>>>>>>>>>>>>>> regards, >>>>>>>>>>>>>>>> Mahesh. >>>>>>>>>>>>>>>> >>>>>>>>>>>>>>>> On Tue, Jun 14, 2016 at 3:19 PM, Mahesh Dananjaya < >>>>>>>>>>>>>>>> [email protected]> wrote: >>>>>>>>>>>>>>>> >>>>>>>>>>>>>>>>> Hi Maheshakya, >>>>>>>>>>>>>>>>> I did what you recommend. But when i am adding the query >>>>>>>>>>>>>>>>> the following error is appearing. >>>>>>>>>>>>>>>>> No extension exist for >>>>>>>>>>>>>>>>> StreamFunctionExtension{namespace='ml'} in execution plan >>>>>>>>>>>>>>>>> "NewExecutionPlan" >>>>>>>>>>>>>>>>> >>>>>>>>>>>>>>>>> *My query is as follows, >>>>>>>>>>>>>>>>> @Import('LinRegInput:1.0.0') >>>>>>>>>>>>>>>>> define stream LinRegInput (salary double, rbi double, >>>>>>>>>>>>>>>>> walks double, strikeouts double, errors double); >>>>>>>>>>>>>>>>> >>>>>>>>>>>>>>>>> @Export('LinRegOutput:1.0.0') >>>>>>>>>>>>>>>>> define stream LinRegOutput (mse double); >>>>>>>>>>>>>>>>> >>>>>>>>>>>>>>>>> from LinRegInput#ml:streamlinreg(0, 2, 100, 0.00000001, >>>>>>>>>>>>>>>>> 1.0, 0.95, salary, rbi, walks, strikeouts, errors) >>>>>>>>>>>>>>>>> select * >>>>>>>>>>>>>>>>> insert into mse; >>>>>>>>>>>>>>>>> >>>>>>>>>>>>>>>>> I have added my files as follows, >>>>>>>>>>>>>>>>> >>>>>>>>>>>>>>>>> org.wso2.carbon.ml.siddhi.extension.streaming.StreamingLinearRegression; >>>>>>>>>>>>>>>>> org.wso2.carbon.ml.siddhi.extension.streaming.algorithm.StreamingLinearModel; >>>>>>>>>>>>>>>>> >>>>>>>>>>>>>>>>> and add following lines to ml.siddhiext >>>>>>>>>>>>>>>>> >>>>>>>>>>>>>>>>> streamlinreg=org.wso2.carbon.ml.siddhi.extension.streaming.StreamingLinearRegressionStreamProcessor >>>>>>>>>>>>>>>>> >>>>>>>>>>>>>>>>> .Then i build the carbon-ml. The replace the jar file you >>>>>>>>>>>>>>>>> asked me replace with the name changed.any thoughts? >>>>>>>>>>>>>>>>> regards, >>>>>>>>>>>>>>>>> Mahesh. >>>>>>>>>>>>>>>>> >>>>>>>>>>>>>>>>> On Tue, Jun 14, 2016 at 2:43 PM, Maheshakya Wijewardena < >>>>>>>>>>>>>>>>> [email protected]> wrote: >>>>>>>>>>>>>>>>> >>>>>>>>>>>>>>>>>> Hi Mahesh, >>>>>>>>>>>>>>>>>> >>>>>>>>>>>>>>>>>> You don't need to add new p2 repo. >>>>>>>>>>>>>>>>>> In the <CEP_HOME>/repository/components/plugins folder, >>>>>>>>>>>>>>>>>> you will find >>>>>>>>>>>>>>>>>> org.wso2.carbon.ml.siddhi.extension_some_version.jar. Replace >>>>>>>>>>>>>>>>>> this with >>>>>>>>>>>>>>>>>> carbon-ml/components/extensions/org.wso2.carbon.ml.siddhi.extension/target/org.wso2.carbon.ml.siddhi.extension-1.1.2-SNAPSHOT.jar. >>>>>>>>>>>>>>>>>> First rename this jar in the target folder to the jar name >>>>>>>>>>>>>>>>>> in the plugins >>>>>>>>>>>>>>>>>> folder then replace (Make sure, otherwise will not work). >>>>>>>>>>>>>>>>>> Your updates will be there in the CEP after this. >>>>>>>>>>>>>>>>>> >>>>>>>>>>>>>>>>>> Best regards. >>>>>>>>>>>>>>>>>> >>>>>>>>>>>>>>>>>> On Tue, Jun 14, 2016 at 2:37 PM, Mahesh Dananjaya < >>>>>>>>>>>>>>>>>> [email protected]> wrote: >>>>>>>>>>>>>>>>>> >>>>>>>>>>>>>>>>>>> Hi Maheshakya, >>>>>>>>>>>>>>>>>>> Do i need to add p2 local repos of ML into CEP after i >>>>>>>>>>>>>>>>>>> made changes to ml extensions. Or will it be automatically >>>>>>>>>>>>>>>>>>> updated. I am >>>>>>>>>>>>>>>>>>> trying to debug my extension with the cep.thank you. >>>>>>>>>>>>>>>>>>> regards, >>>>>>>>>>>>>>>>>>> Mahesh. >>>>>>>>>>>>>>>>>>> >>>>>>>>>>>>>>>>>>> On Tue, Jun 14, 2016 at 1:57 PM, Maheshakya Wijewardena >>>>>>>>>>>>>>>>>>> <[email protected]> wrote: >>>>>>>>>>>>>>>>>>> >>>>>>>>>>>>>>>>>>>> Mahesh when you add your work to carbon-ml follow the >>>>>>>>>>>>>>>>>>>> bellow guidelines, it will help to keep the code clean. >>>>>>>>>>>>>>>>>>>> >>>>>>>>>>>>>>>>>>>> >>>>>>>>>>>>>>>>>>>> - Add only the sources code file you have newly >>>>>>>>>>>>>>>>>>>> added or changed. >>>>>>>>>>>>>>>>>>>> - Do not use add . (add all) command in git. Only >>>>>>>>>>>>>>>>>>>> use add filename >>>>>>>>>>>>>>>>>>>> >>>>>>>>>>>>>>>>>>>> I have seen in your gsoc repo that there are gitignore >>>>>>>>>>>>>>>>>>>> files, idea related files and the target folder is there. >>>>>>>>>>>>>>>>>>>> These should not >>>>>>>>>>>>>>>>>>>> be in the source code, only the source files you add. >>>>>>>>>>>>>>>>>>>> >>>>>>>>>>>>>>>>>>>> - Commit when you have done some major activity. Do >>>>>>>>>>>>>>>>>>>> not add commits always when you make a change. >>>>>>>>>>>>>>>>>>>> >>>>>>>>>>>>>>>>>>>> >>>>>>>>>>>>>>>>>>>> On Tue, Jun 14, 2016 at 12:22 PM, Mahesh Dananjaya < >>>>>>>>>>>>>>>>>>>> [email protected]> wrote: >>>>>>>>>>>>>>>>>>>> >>>>>>>>>>>>>>>>>>>>> Hi Maheshakya, >>>>>>>>>>>>>>>>>>>>> May i seperately put the classes to ml and extensions >>>>>>>>>>>>>>>>>>>>> in carbon-core. I can put Streaming Extensions to >>>>>>>>>>>>>>>>>>>>> extensions and >>>>>>>>>>>>>>>>>>>>> Algorithms/StreamingLinear Regression and StreamingKMeans >>>>>>>>>>>>>>>>>>>>> in ml core. what >>>>>>>>>>>>>>>>>>>>> is the suitable format. I will commit my changes today as >>>>>>>>>>>>>>>>>>>>> seperate branch >>>>>>>>>>>>>>>>>>>>> in my forked carbon-ml local repo.thank you. >>>>>>>>>>>>>>>>>>>>> regards, >>>>>>>>>>>>>>>>>>>>> Mahesh. >>>>>>>>>>>>>>>>>>>>> p.s: better if you can meet me via hangout. >>>>>>>>>>>>>>>>>>>>> >>>>>>>>>>>>>>>>>>>> >>>>>>>>>>>>>>>>>>>> >>>>>>>>>>>>>>>>>>>> >>>>>>>>>>>>>>>>>>>> -- >>>>>>>>>>>>>>>>>>>> Pruthuvi Maheshakya Wijewardena >>>>>>>>>>>>>>>>>>>> [email protected] >>>>>>>>>>>>>>>>>>>> +94711228855 >>>>>>>>>>>>>>>>>>>> >>>>>>>>>>>>>>>>>>>> >>>>>>>>>>>>>>>>>>>> >>>>>>>>>>>>>>>>>>> >>>>>>>>>>>>>>>>>> >>>>>>>>>>>>>>>>>> >>>>>>>>>>>>>>>>>> -- >>>>>>>>>>>>>>>>>> Pruthuvi Maheshakya Wijewardena >>>>>>>>>>>>>>>>>> [email protected] >>>>>>>>>>>>>>>>>> +94711228855 >>>>>>>>>>>>>>>>>> >>>>>>>>>>>>>>>>>> >>>>>>>>>>>>>>>>>> >>>>>>>>>>>>>>>>> >>>>>>>>>>>>>>>> >>>>>>>>>>>>>>> >>>>>>>>>>>>>> >>>>>>>>>>>>> >>>>>>>>>>>> >>>>>>>>>>> >>>>>>>>>>> >>>>>>>>>>> -- >>>>>>>>>>> Pruthuvi Maheshakya Wijewardena >>>>>>>>>>> [email protected] >>>>>>>>>>> +94711228855 >>>>>>>>>>> >>>>>>>>>>> >>>>>>>>>>> >>>>>>>>>> >>>>>>>>>> >>>>>>>>> >>>>>>>>> _______________________________________________ >>>>>>>>> Dev mailing list >>>>>>>>> [email protected] >>>>>>>>> http://wso2.org/cgi-bin/mailman/listinfo/dev >>>>>>>>> >>>>>>>>> >>>>>>>> >>>>>>>> >>>>>>>> -- >>>>>>>> >>>>>>>> Thanks & regards, >>>>>>>> Nirmal >>>>>>>> >>>>>>>> Team Lead - WSO2 Machine Learner >>>>>>>> Associate Technical Lead - Data Technologies Team, WSO2 Inc. >>>>>>>> Mobile: +94715779733 >>>>>>>> Blog: http://nirmalfdo.blogspot.com/ >>>>>>>> >>>>>>>> >>>>>>>> >>>>>>> >>>>>> >>>>>> >>>>>> -- >>>>>> Pruthuvi Maheshakya Wijewardena >>>>>> [email protected] >>>>>> +94711228855 >>>>>> >>>>>> >>>>>> >>>>> >>>>> >>>>> -- >>>>> Pruthuvi Maheshakya Wijewardena >>>>> [email protected] >>>>> +94711228855 >>>>> >>>>> >>>>> >>>> >>> >>> _______________________________________________ >>> Dev mailing list >>> [email protected] >>> http://wso2.org/cgi-bin/mailman/listinfo/dev >>> >>> >> > > > -- > > Thanks & regards, > Nirmal > > Team Lead - WSO2 Machine Learner > Associate Technical Lead - Data Technologies Team, WSO2 Inc. > Mobile: +94715779733 > Blog: http://nirmalfdo.blogspot.com/ > > >
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