Hi,

You can use the multi class classification algorithms in WSO2 Machine
Learner for your task. The quick start guide(
https://docs.wso2.com/display/ML100/Quick+Start+Guide) describes the steps
you have to follow from uploading a dataset to predicting from a trained a
model.
If you need to predict from data online (in case a new customer comes), use
WSO2 CEP extension for ML predictions(
https://docs.wso2.com/display/ML100/WSO2+CEP+Extension+for+ML+Predictions).

Best regards.

On Wed, Dec 9, 2015 at 4:41 PM, NIFRAS ISMAIL <[email protected]>
wrote:

> Hi Machine Learners,
>
> Again I need your favour for Data Anaysis on My final year projects.
>
> My Meta Data Labels are
>
>
> "city","country","birthdate","education","gender","houseowner","marital_status","member_card","num_cars_owned","num_children_at_home","occupation","postal_code","state_province","total_children","yearly_income","product_name"
>
> You may notice that this is a customer and his transaction mapping data of
> a shopping mall.
>
> Class Label is  : product_name
>
> Problem: My issue is I need to find the interest classes from my data
> which contains the above headers.
>
> then If a new customer come to the mall I may predict which item he will
> looking for using Multi Class Multi Label Classification.
>
>
> Could Any one there to help to me ? Looking forward your reply ML Team
>
> Thank you
>
>
> Regards.
> *M. Nifras Ismail*
> [image: LinkedIn] <http://lk.linkedin.com/pub/nifras-ismail/54/343/94b>
>
>
>
>
>
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-- 
Pruthuvi Maheshakya Wijewardena
Software Engineer
WSO2 : http://wso2.com/
Email: [email protected]
Mobile: +94711228855
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