Hi Boyuan.
I looked over your application and it looks good so far.
I think it could be a bit more ambitious. I know the idea page was not
very elaborate.
It might be interesting to improve the existing graph-based algorithms.
There is some discussion in
https://github.com/scikit-learn/scikit-learn/pull/3758
I was a bit surprised to see that the algorithms currently are
iterative, when I think there is a closed form solution.
Maybe you could look into that, too?
If you have other related ideas, feel free to include them as well.
Best,
Andy
On 03/22/2015 05:47 PM, Boyuan Deng wrote:
Hi all:
This is the link to my proposal for the "Cross-validation and
Meta-estimators for Semi-supervised Learning" topic:
https://docs.google.com/document/d/1f2nfFEBk567QhKd2OJzDNM9t21Glkp0XxFgtbpy8UjI/edit?usp=sharing
Please leave comments and help improving it!
Also I want to contribute a bigger patch to scikit-learn in the
following weeks. So dear developers if you know there is a suitable
issue (better if related to my topic), please @bryandeng on that issue
page.
Boyuan
On 03/19/2015 03:44 AM, Joel Nothman wrote:
Hi Boyuan,
It's good to hear you're an experienced scikit-learn user, and that
it has worked for you. It's also pleasing to hear someone's
interested in this project, because I feel the semi-supervised
capabilities of scikit-learn and its API have been left half-baked.
I strongly recommend, however, that as well as putting together a
proposal, you try to show your practical abilities to contribute to
the project so that core developers become familiar with your work. I
see you have started to do so at #4409; something that involves
testing and/or documentation would be ideal.
- Joel
On 19 March 2015 at 09:30, Boyuan Deng <bryanhsud...@gmail.com
<mailto:bryanhsud...@gmail.com>> wrote:
Hi all:
I am a Master's student in the European Union's Erasmus Mundus
LCT program, studying natural language processing at Saarland
University, Germany and also doing machine learning and
information retrieval at Max-Planck Institute for Informatics,
which is on the same campus.
These years I've been a heavy scikit-learn user and once got top
10 in KDD Cup using scikit-learn. So first I want to thank you
all the developers! And that's why I strongly want to contribute
to scikit-learn during this year's GSoC.
I'm interested in the topic "Cross-validation and Meta-Estimators
for semi-supervised learning" and is starting to write my
proposal. I'll post the link for it once it has basically taken
shape this week.
I'm always available if any mentor wants to contact me.
Best regards,
Boyuan Deng
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