>
> from
> InputStream#ml:predict('file:///home/mahesh/GSOC/WSO2/data-set/pima-indian-diabetes.data','double')
>
Moreover, you have to point to the trained model, not the dataset. You can
find the trained models in {ML_HOME}/models/ folder.
On Mon, May 2, 2016 at 3:33 PM, Maheshakya Wijewardena <[email protected]>
wrote:
> Hi Mahesh,
>
> You don't have to concern about the distributed mode in CEP at this
> moment. CEP, by default does not run in distributed mode. In the
> documentation, please ignore the sections about distributed CEP and Storm
> for now.
>
> Are you able to see ML commons, ML core, ML data services and ML siddhi
> extension in the installed features section of CEP?
>
> On Mon, May 2, 2016 at 3:27 PM, Mahesh Dananjaya <
> [email protected]> wrote:
>
>>
>> Hi maheshakya,
>> I have installed them correctly.now I am trying to debug the siddhi
>> extention with the cep as the [1] describes. But when i created an input
>> stream and a predictionStream (output stream). when i was trying to create
>> new execution plan with above streams i got error when i clicked "Validate
>> Query Expression".Error was,
>> Error:
>> No extension exist for StreamFunctionExtension{namespace='ml'} in
>> execution plan "ExecutionPlan"
>>
>> and my expression is like a
>>
>> /* Enter a unique ExecutionPlan */
>> @Plan:name('ExecutionPlan')
>>
>> /* Enter a unique description for ExecutionPlan */
>> -- @Plan:description('ExecutionPlan')
>>
>> /* define streams/tables and write queries here ... */
>>
>> @Import('InputStream:1.0.0')
>> define stream InputStream (NumPregnancies double, TSFT double, DPF
>> double, BMI double, DBP double, PG2 double, Age double, SI2 double);
>>
>> @Export('PredictionStream:1.0.0')
>> define stream PredictionSTream (NumPregnancies double, TSFT double, DPF
>> double, BMI double, DBP double, PG2 double, Age double, SI2 double, Class
>> double);
>>
>> from
>> InputStream#ml:predict('file:///home/mahesh/GSOC/WSO2/data-set/pima-indian-diabetes.data','double')
>> select *
>> insert into PredictionStream
>>
>>
>> i used file instead of registry. And i referred to the [2] and there they
>> mention that solution for fixing CEP is running on distributed mode with
>> apache Storm cluster.
>>
>> 1. Is that CEP i built is originally run as distributed mode?
>> 2. Is this cuased by an not having sudo privilleges in current user when
>> installing ML features onto CEP?
>> 3.Is this the correct way to give file to CEP.
>>
>> [1]
>> https://docs.wso2.com/display/ML110/WSO2+CEP+Extension+for+ML+Predictions#WSO2CEPExtensionforMLPredictions-Siddhisyntaxfortheextension
>>
>> [2]https://wso2.org/jira/browse/CEP-1400
>>
>> BR,
>> Mahesh.
>>
>>
>> On Mon, May 2, 2016 at 12:35 PM, Maheshakya Wijewardena <
>> [email protected]> wrote:
>>
>>> Hi Mahesh,
>>>
>>> If you have built product-ml, you can find the P2-repo at
>>> product-ml/modules/p2-profile/target/p2-repo
>>> Add this folder as a local repository.
>>> After that, you should be able to see the ML features.
>>>
>>> Best regards.
>>>
>>> On Mon, May 2, 2016 at 12:24 PM, Mahesh Dananjaya <
>>> [email protected]> wrote:
>>>
>>>> Hi Maheshakya,
>>>> Since i already have carbon-ml built in my pc can i use my local
>>>> repository to install those features in to CEP.is that correct.thank you.
>>>> regards,
>>>> Mahesh.
>>>>
>>>> On Mon, May 2, 2016 at 12:20 PM, Mahesh Dananjaya <
>>>> [email protected]> wrote:
>>>>
>>>>> Hi Maheshakya,
>>>>> Can you please tell me how to find the most recent p2 repository URL
>>>>> to add machine learner Core, Machine learner commons, Machine learner
>>>>> database service and ML Siddhi extension to add as features in CEP as
>>>>> describes in the [1]. When i use
>>>>> http://product-dist.wso2.com/p2/carbon/releases/4.2.0/ URL those
>>>>> features are not visible in the CEP.Is that not he most recent one.
>>>>> BR,
>>>>> Mahesh.
>>>>>
>>>>> [1]
>>>>> https://docs.wso2.com/display/ML110/WSO2+CEP+Extension+for+ML+Predictions#WSO2CEPExtensionforMLPredictions-Siddhisyntaxfortheextension
>>>>>
>>>>> On Mon, May 2, 2016 at 11:28 AM, Mahesh Dananjaya <
>>>>> [email protected]> wrote:
>>>>>
>>>>>> Hi Maheshakya,
>>>>>> sorry for the incomplete message.I have set up the dev environment
>>>>>> and now i am trying to remotely debug. The following steps were done.
>>>>>> 1. build product-cep, carbon-ml and product-ml by source.
>>>>>> 2. go through their code bases and trying to understand the way and
>>>>>> the flow you developed.
>>>>>> 3. i have set up break point in org.wso2.carbon.ml.siddhi.extension
>>>>>> in carbon-ml
>>>>>> 4. start the ./wso2server.sh debug 5005 in the SNAPSHOT directory of
>>>>>> product-ml
>>>>>> 5. trying to trigger the break points with the [1] reference.break
>>>>>> points are placed in the PredictStreamProcessor.java file within the
>>>>>> extention.
>>>>>>
>>>>>> This is the way i followed. I was trying to remotely debug the ML
>>>>>> core by putting break-points in ml core.(org.wso2.carbon.ml.core) in
>>>>>> spark
>>>>>> java files. Is this the right way to do those things.
>>>>>>
>>>>>> [1]
>>>>>> https://docs.wso2.com/display/ML110/WSO2+CEP+Extension+for+ML+Predictions#WSO2CEPExtensionforMLPredictions-Siddhisyntaxfortheextension
>>>>>>
>>>>>> On Mon, May 2, 2016 at 11:19 AM, Mahesh Dananjaya <
>>>>>> [email protected]> wrote:
>>>>>>
>>>>>>> Hi maheshakya,
>>>>>>> I have set up the dev environment and now i am trying to remotely
>>>>>>> debug. The following steps were done.
>>>>>>> 1. build product-cep, carbon-ml and product-ml by source.
>>>>>>> 2. go through their code bases and trying to understand the way and
>>>>>>> the flow you developed.
>>>>>>> 3. i have set up break point in
>>>>>>>
>>>>>>>
>>>>>>> On Thu, Apr 28, 2016 at 7:05 PM, Mahesh Dananjaya <
>>>>>>> [email protected]> wrote:
>>>>>>>
>>>>>>>> Hi Maheshakya,
>>>>>>>> ok.i got it.thank you.
>>>>>>>> regards,
>>>>>>>> Mahesh.
>>>>>>>>
>>>>>>>> On Thu, Apr 28, 2016 at 6:56 PM, Maheshakya Wijewardena <
>>>>>>>> [email protected]> wrote:
>>>>>>>>
>>>>>>>>> Hi Mahesh,
>>>>>>>>>
>>>>>>>>> The links was an example of remote debugging WSO2 server. What you
>>>>>>>>> need to debug is org.wso2.carbon.ml.siddhi.extension in carbon-ml.
>>>>>>>>>
>>>>>>>>> Best regards.
>>>>>>>>>
>>>>>>>>> On Thu, Apr 28, 2016 at 4:52 PM, Mahesh Dananjaya <
>>>>>>>>> [email protected]> wrote:
>>>>>>>>>
>>>>>>>>>> Hi Maheshakya,
>>>>>>>>>> thank you for your help.i have already built all three sources
>>>>>>>>>> and now i am trying to get familiar with your code base. i even
>>>>>>>>>> build the
>>>>>>>>>> carbon-kernel by source.
>>>>>>>>>> As you mentioned [1] is related to debug the kernel, do i really
>>>>>>>>>> need to debug the carbon kernel in my case. I am trying to remotely
>>>>>>>>>> debug
>>>>>>>>>> ml and as i got it correct it is the same way as reference[1, but
>>>>>>>>>> not the
>>>>>>>>>> kernel.I can go with others.
>>>>>>>>>> BR,
>>>>>>>>>> mahesh.
>>>>>>>>>>
>>>>>>>>>> [1] https://dzone.com/articles/how-debug-wso2-carbon-kernel
>>>>>>>>>>
>>>>>>>>>> On Mon, Apr 25, 2016 at 5:49 PM, Maheshakya Wijewardena <
>>>>>>>>>> [email protected]> 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 <
>>>>>>>>>>> [email protected]> 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
>>>>>>>>>>> [email protected]
>>>>>>>>>>> +94711228855
>>>>>>>>>>>
>>>>>>>>>>>
>>>>>>>>>>>
>>>>>>>>>>
>>>>>>>>>
>>>>>>>>>
>>>>>>>>> --
>>>>>>>>> Pruthuvi Maheshakya Wijewardena
>>>>>>>>> [email protected]
>>>>>>>>> +94711228855
>>>>>>>>>
>>>>>>>>>
>>>>>>>>>
>>>>>>>>
>>>>>>>
>>>>>>
>>>>>
>>>>
>>>
>>>
>>> --
>>> Pruthuvi Maheshakya Wijewardena
>>> [email protected]
>>> +94711228855
>>>
>>>
>>>
>>
>>
>
>
> --
> Pruthuvi Maheshakya Wijewardena
> [email protected]
> +94711228855
>
>
>
--
Pruthuvi Maheshakya Wijewardena
[email protected]
+94711228855
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