Hi Misgana, I went through your proposal. Overall it looks good. Here are a few comments I would like to point out:
- Its better to have some sort of an architecture diagram, explaining your solution in a higher level. - In the timeline, better to break down the "Week 13 (May 23 June 20, 2016)" into three sub-levels, and allocate timeslots for each of the three methods (Stacking, Boosting and Bagging) separately. That would make it easy for you to work on those methods separately, as well as to track the progress. - In the timeline, can you double check the "week" numbers..? for eg; in [*Week 1-3 (May 23 June 20, 2016*], I guess it should be "*Week 1-4*" (there are four weeks in the mentioned duration). Similarly, check the others too. Please share us the draft proposal once you fix those. Thanks, Supun On Wed, Mar 23, 2016 at 7:17 PM, Misgana Negassi < negas...@tf.uni-freiburg.de> wrote: > Hi Supun, > > I am attaching my proposal draft. I am very grateful for your comments. > > Thanks, > Misgana > > > On 23.03.2016 04:54, Supun Sethunga wrote: > > Hi Misgana, > > 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. (On technique per each of these methods) > > If you haven't tried out already, 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. You can also go through the source code of WSO2 ML ([4] > and [5]), and get familiarized with the current implementations. > > Meantime, as Nirmal mentioned, can you please send us the draft of the > proposal so that we can review it and give you a feedback? > > [1] <http://wso2.com/products/machine-learner/> > http://wso2.com/products/machine-learner/ > [2] <https://docs.wso2.com/display/ML100/Introducing+Machine+Learner> > https://docs.wso2.com/display/ML100/Introducing+Machine+Learner > [3] > <http://supunsetunga.blogspot.com/2015/09/building-your-first-predictive-model.html> > http://supunsetunga.blogspot.com/2015/09/building-your-first-predictive-model.html > [4] <https://github.com/wso2/carbon-ml>https://github.com/wso2/carbon-ml > [5] <https://github.com/wso2/product-ml> > https://github.com/wso2/product-ml > > Thanks, > Supun > > On Wed, Mar 23, 2016 at 7:20 AM, Nirmal Fernando <nir...@wso2.com> wrote: > >> Thanks, Misgana for your interest in a WSO2 ML GSoC project. Whilst I let >> Supun give you some more information on the project, I encourage you to >> create a draft proposal and send us for review. >> >> On Wed, Mar 23, 2016 at 2:58 AM, Misgana Negassi < >> <negas...@tf.uni-freiburg.de>negas...@tf.uni-freiburg.de> wrote: >> >>> Hallo! >>> >>> I am Misgana, hailing from Freiburg, Germany and I am interested in >>> working with you on the Ensemble methods . I have already implemented >>> Stacking in python(code available in github/zemoel) and compared it to >>> other ensemble methods such as Ensemble Selection on AUC performance >>> measures. The comparison also included using above mentioned methods as >>> part of an automated machine learning platform(Autosklearn). >>> >>> I am currently working on my proposal and would be grateful for your >>> reply. >>> >>> Misgana >>> >> >> >> >> -- >> >> Thanks & regards, >> Nirmal >> >> Team Lead - WSO2 Machine Learner >> Associate Technical Lead - Data Technologies Team, WSO2 Inc. >> Mobile: +94715779733 >> Blog: http://nirmalfdo.blogspot.com/ >> >> >> > > > -- > *Supun Sethunga* > Software Engineer > WSO2, Inc. > <http://wso2.com/>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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