[Architecture] Machine Learning using Apache Mahout for WSO2 BAM

Hi, Im working on the $subject, and the objective is to apply Machine Learning algorithms on the data stored by WSO2 BAM. Apache Mahout will be used as the ML tool, for this purpose. As per the discussion I had With Srinath, the procedure for $subject would be: - Test a Machine Learning

Re: [Architecture] Connector: AmazonSES

Hi Shevan, *getDomainDkim* will be renamed as *listDomainDkim * since it makes more sense as it returns a list. Thanks Regards Rasika -- View this message in context: http://wso2-oxygen-tank.10903.n7.nabble.com/Connector-AmazonSES-tp98318p98730.html Sent from the WSO2 Architecture mailing

Re: [Architecture] Using Siddhi Event processor to implement/evaluate some clustering algorithms

Hi Lahiru, I have gone through above patches and play around with it little bit.. CEP873.patch seems fine and i have done some basic testing But i have got some issues when applying CEP877.patch. Even-though i am able to get rid off that after making some changes, I think it is better if you

Re: [Architecture] Implement a wizard for EMM configurations

Hi Pleasure hear that our project will be integrated to new EMM. But the Success screen can be done by me if you want to since I worked with Jaggery in the project. Hope to see our product success Thanks and Regards On Fri, Jun 27, 2014 at 10:56 AM, Inosh Perera ino...@wso2.com wrote: Hi

[Architecture] Connector: CloseIO

*Introduction* Close.io is a sales platform combining customer management with built-in calling and email synchronization. Make and receive calls while taking notes tied to each address book contact. *API (REST)* http://developer.close.io/ *Close.io Connector Summary* • Connector Name:

Re: [Architecture] Using Siddhi Event processor to implement/evaluate some clustering algorithms

Hi Mohan, As I said please ignore the cep-877.patch and use the improved.cep-877. I cloned a new repo and ran following commands to apply the patches and worked fine. 149-160-172-65:siddhi lahirugunathilake$ git apply --check cep-873.patch 149-160-172-65:siddhi lahirugunathilake$ git am

Re: [Architecture] Machine Learning using Apache Mahout for WSO2 BAM

Hi Sanjiva, We are playing with Mahout at this point, as that is the easiest way to bring in ML algos to BAM (it has a fair set of algos). Since mahout is set of map reduce jobs .. basically all we have to do is to add the mahout jars to BAM. However, we need some entry point to run mahout jobs.

Re: [Architecture] Machine Learning using Apache Mahout for WSO2 BAM

Hi, I was simply thinking, the UDF could directly mapped to some basic Mahout operation it implements, and the input/output should be given as parameters to the UDF, so probably, we can publish some input data beforehand to Cassandra etc.. and give the location of that data to the UDF, and the

Re: [Architecture] Machine Learning using Apache Mahout for WSO2 BAM

No, we need to get the data, preprocess them using hive, and send all the data (not 1-2 values, rather say 10 millions values) to training phase. Lets chat f2f a bit. --Srinath On Tue, Jul 1, 2014 at 6:24 AM, Anjana Fernando anj...@wso2.com wrote: Hi, I was simply thinking, the UDF could

Re: [Architecture] Machine Learning using Apache Mahout for WSO2 BAM

I see, sure, I was thinking of doing all the operations, including the training operations using an UDF. Will come and meet you. Cheers, Anjana. On Tue, Jul 1, 2014 at 9:56 AM, Srinath Perera srin...@wso2.com wrote: No, we need to get the data, preprocess them using hive, and send all the