Hi Dulaj, Thank you for your interest in the above project. As we have mentioned in the project proposal as well, the main objective is to integrate ensemble support for the existing flow of the WSO2 Machine Learner. We are focusing on the three methods: Bagging, Boosting and Stacking.
To start with, you can get to know the Machine Learner product by downloading it and running it (Please use link [1] to download). Official documentation [2] and blog [3] will help you on how to use the product. As the next step, you can go through the source code of WSO2 ML ([4] and [5]), and get familiarized with the current implementations. Please feel free to raise if you have any questions or any unclear points. [1] http://wso2.com/products/machine-learner/ [2] https://docs.wso2.com/display/ML100/Introducing+Machine+Learner [3] http://supunsetunga.blogspot.com/2015/09/building-your-first-predictive-model.html [4] https://github.com/wso2/carbon-ml [5] https://github.com/wso2/product-ml Regards, Supun On Tue, Mar 15, 2016 at 11:28 AM, Dulaj Rajitha < [email protected]> wrote: > *Hi, > * > I'm Dulaj Rajitha, 3rd year (Semester 6) undergraduate, university of > Moratuwa and I found this project is interesting. > I have working experience in machine learning throughout my internship and > experience in working on Apache Spark ML and MlLib with java 8. > So please provide me some guide lines on how to proceed and what are the > technologies that are required to get familiar with. > > --- > Regards, > Dulaj Rajitha,*Undergraduate > **Department of Computer Science and Engineering > **University of Moratuwa.* > > -- *Supun Sethunga* Software Engineer WSO2, Inc. http://wso2.com/ lean | enterprise | middleware Mobile : +94 716546324
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