[looping dev] On Tue, Mar 8, 2016 at 10:01 AM, Supun Sethunga <[email protected]> wrote:
> Hi Hasitha, > > 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 8, 2016 at 9:53 AM, Hasitha Jayasundara < > [email protected]> wrote: > >> Dear Sir, >> >> I am an undergraduate of University of Moratuwa department of Electronic >> and Telecommunication Engineering. I am very much interested in machine >> learning knowledge and i would like to start the project' Ensemble Methods >> Support for WSO2 Machine Learner'.So please provide me some guide lines and >> materials for study and get a clear understanding about the mentioned >> project. >> >> Thank you >> >> > > > > -- > *Supun Sethunga* > Software Engineer > WSO2, Inc. > http://wso2.com/ > lean | enterprise | middleware > Mobile : +94 716546324 > -- *Supun Sethunga* Software Engineer WSO2, Inc. http://wso2.com/ lean | enterprise | middleware Mobile : +94 716546324
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