Oh, one more thing: non-ASCII e-mails are pretty difficult to read, some of the hardcore geeks even use pine ;) Your client seems to randomly change the font size, and in general, the special formatting is not necessary and it's way too time-consuming to spend the time and make HTML e-mails pretty manually. It would be nice if you could use plain text on the mailing list.
Thanks! Vlad On Mon, Apr 8, 2013 at 12:07 PM, Vlad Niculae <[email protected]> wrote: > Hello! > > In my opinion the ideas page needs a bit of restructuring, as the > breadth and complexity of the suggested projects varies. > > We are definitely welcome to different ideas, as long as they prove > useful and fit in the big picture for where the scikit is heading. > This comes down to discussing it on the mailing list, so you did the > right thing! > > I am personally not familiar with the algorithm you are talking about, > could you please provide a reference paper? We have a semi-strict > guideline on only considering algorithms that have many citations; I > don't recall at the moment how many does "many" mean. > > Again, I don't know the algorithm, but I tend to think that a single > algorithm is a contribution that is too small for a whole summer. I > also think it would be better to have the standard SGD matrix > factorization algorithm before implementing (what I suppose are) > variants of it. But I don't want to discuss this further before > looking > at the paper, since I'm not standing on solid ground. > > I am excited for your interest in this. Remember, the first step, no > matter what will be the project you would like to propose, is to start > contributing one or several minor improvements or fixes, in order to > get familiar with the codebase and with the way our development > process works. > > Cheers, > Vlad > > > On Mon, Apr 8, 2013 at 11:40 AM, YanChunwei <[email protected]> wrote: >> Hello, I am a computer science graduate student，and want to apply for >> scikit-learn's GSoC2013. >> I have a question, are all scipy-learn's tasks for GSOC's applicants the >> topics listed on the project's wiki on github? >> https://github.com/scikit-learn/scikit-learn/wiki/A-list-of-topics-for-a-Google-Summer-of-Code-%28GSOC%29-2013。 >> >> I list some topics here: >> >> Add scipy.sparse matrix input support to the Decision Tree Implementation >> Online Low Rank Matrix Completion >> Online Non Negative Matrix Factorization >> ... ... >> >> >> Is that possible for an applicant to implement other ideas? >> >> I have an idea, to implement a new algorithm for scikit-learn, the >> Feature-Based Matrix Factorization (FBMF). It is powerful and should have >> a long-term application in the field of Collaborative Filter. >> >> Similar to Factorization Machine , this model is an abstract of many >> variants of matrix factorization models, and new types of information can >> be utilized by simply defining new features, without modifying any lines of >> code. >> >> To build an open source implementation and integrate it into the >> scikit-learn, and use the rich algorithms provided by scipy-learn to >> automatically extract features, using python to control the overall >> training process (automatically grid search and so on), I think that is a >> wonderful choice. >> >> Is there anyone else think it is an good idea, and provide some suggestions >> for me to participate in GSOC of scipy-learn, I really appreciate it. >> >> Chunwei Yan >> >> ------------------------------------------------------------------------------ >> Minimize network downtime and maximize team effectiveness. >> Reduce network management and security costs.Learn how to hire >> the most talented Cisco Certified professionals. Visit the >> Employer Resources Portal >> http://www.cisco.com/web/learning/employer_resources/index.html >> _______________________________________________ >> Scikit-learn-general mailing list >> [email protected] >> https://lists.sourceforge.net/lists/listinfo/scikit-learn-general >> ------------------------------------------------------------------------------ Minimize network downtime and maximize team effectiveness. Reduce network management and security costs.Learn how to hire the most talented Cisco Certified professionals. Visit the Employer Resources Portal http://www.cisco.com/web/learning/employer_resources/index.html _______________________________________________ Scikit-learn-general mailing list [email protected] https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
