>>>> This is the full query i used.
>>>>>>>>
>>>>>>>> @Import('LinRegInput:1.0.0')
>>>>>>>>
>>>>>>>> define stream LinRegInput (salary double, rbi double, walks double,
>>>>>>
double,
>>>>>>> strikeouts double, errors double);
>>>>>>>
>>>>>>> @Export('LinRegOutput:1.0.0')
>>>>>>>
>>>>>>> define stream LinregOutput (mse double);
>>>>>>>
>>>>>>> from LinRegInput#ml:streamlinr
ry, rbi, walks, strikeouts, errors)
>>>>>>
>>>>>> select *
>>>>>> insert into mse;
>>>>>>
>>>>>> but i am sending [mse,intercept,beta1....betap] as a outputData
>>>>>> Object[]. SO how can
t;>> regards,
>>>>> Mahesh.
>>>>>
>>>>> On Tue, Jun 21, 2016 at 6:10 PM, Nirmal Fernando <nir...@wso2.com>
>>>>> wrote:
>>>>>
>>>>>> Hi Mahesh,
>>>>>>
>>>>>&g
2, 2016 at 10:24 AM, Maheshakya Wijewardena <
>>>>>> mahesha...@wso2.com> wrote:
>>>>>>
>>>>>>> Hi Mahesh,
>>>>>>>
>>>>>>> In your output stream, you need to list all the attrib
>>>>>
>>>>> 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
t;>>>> 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/stream
pdated 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] ht
>> 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 <
>>> dananjayam
arbon-ml/tree/wso2_gsoc_ml6_cml
>>
>>
>> On Tue, Jun 21, 2016 at 5:08 PM, Mahesh Dananjaya <
>> dananjayamah...@gmail.com> wrote:
>>
>>>
>>> -- Forwarded message ----------
>>> From: Mahesh Dananjaya <dananjayamah...@gmail.c
ya <
> dananjayamah...@gmail.com> wrote:
>
>>
>> -- Forwarded message --
>> From: Mahesh Dananjaya <dananjayamah...@gmail.com>
>> Date: Tue, Jun 21, 2016 at 5:08 PM
>> Subject: Re: [Dev] Fwd: GSOC2016: [ML][CEP] Predictive analytic with
>> online
, 2016 at 5:08 PM, Mahesh Dananjaya <dananjayamah...@gmail.com
> wrote:
>
> -- Forwarded message --
> From: Mahesh Dananjaya <dananjayamah...@gmail.com>
> Date: Tue, Jun 21, 2016 at 5:08 PM
> Subject: Re: [Dev] Fwd: GSOC2016: [ML][CEP] Predictive analytic
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
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
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
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 wrote:
> Hi Maheshakya,
> I did
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
Hi Mahesh,
You don't need to add new p2 repo.
In the /repository/components/plugins folder, you will find
org.wso2.carbon.ml.siddhi.extension_some_version.jar. Replace this with
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
Hi Mahesh,
You can add a new folder for streaming algorithms in the siddhi extension.
There, keep stream processors and the algorithms classes separately.
We can arrange a hangout tomorrow.
Best regards.
On Tue, Jun 14, 2016 at 12:22 PM, Mahesh Dananjaya <
dananjayamah...@gmail.com> 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
Hi maheshakya,
ok.these couple of days i have spent on implementing streamin
clustering in a efficient way.i have found couple of methods.intially
i am developing k batch k means for streaming.i will let you know the
progress within next couple of days.i have already added paramter in
query for
Hi Mahesh,
Regarding your question:
my outputData Object[]array is in the format of
> [mse,beta0,beta1,betap].But seems to be that cep does not understand it.
Did you create an output stream first for the publisher? You need to create
a stream with attributes: mse double, beta1 double,
Hi Maheshakya,
in the last one mentioned example query for streaming linear regression
should be,
*insert into regResults; from LinRegInputStream#streaming:streaminglr(0, 2,
100, 0.0001, 1.0, 0.95, salary, rbi, walks, strikeouts, errors)select
*insert into regResults*;
miniBatchFraction
Hi Maheshakya,
you can find the details of the queries in this ReadMe [1]. i have add some
changes . so previous querirs may not valid.please use these new queries in
the README.
*1.Streaming Linear regression*
from LinRegInputStream#streaming:streaminglr((learnType),
(batchSize/timeFrame),
Hi Mahesh,
Great work so far.
Regarding the queries:
streamingkm(0, 2,2,20,1,0.95 salary, rbi, walks, strikeouts, errors)
Can you give me the definitions of the first few entities in the order.
Also in previous supervised cases (linear regression), what is the response
variable, etc.
I'll go
Hi Maheshkya,
I have changed the siddhi query for our StreamingKMeansClustering by adding
Alpha into the picture which we can use to make data horizon (how quickly a
most recent data point becomes a part of the model) and data obsolescence
(how long does it take a past data point to become
Hi Maheshakya,
As we have discussed the architecture of the project i have already
developed a couple of essential components for our project. During last
week i completed the writing cep siddhi extension for our streaming
algorithms which are developed to learn incrementally with past
Hi Maheshkya,
If you want to run it please use following queries.
1. StreamingLInearRegression
from Stream4InputStream#streaming:streaminglr(0, 2, 0.95, salary, rbi,
walks, strikeouts, errors)
select *
insert into regResults;
from Stream8Input#streaming:streamingkm(0, 2, 0.95,2,20, salary,
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]
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
Hi Maheshakya,
I have looked into the spark streaming fundamentals and k mean clustering
to develop the streaming k mean clustering for stream data. those can be
found at [1] and [2].I will commit new changes to my repo today including
the basic implementation of streaming k mean clustering.thank
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
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
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
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 1 (lr_timing_1)
upto 1 million in both scenarios.you can see the reports and figures in
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
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, 1, 0.95, salary, rbi, walks,
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
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
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
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 =
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]
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
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?
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,
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
Hi Mahesh,
I'll review your code sample and give you our feedback asap.
In the meantime, please go through the documentation for writing siddhi
extensions and get some idea. It's better if you can try writing some
simple siddhi extensions your self and test them to get a good
understanding.
Best
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
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
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
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
-- Forwarded message --
From: Mahesh Dananjaya
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
Hi Maheshakya,
sorry
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
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