Thank you, Do you have some references prepared? It would be useful.
I am not sure if what is in my head is correct but I think association rule learning is interesting and a kind of method that I would like to see in scikit-learn, as well as finding frequent itemsets. I hope I'm thinking of the right thing, though. I will use google but it would be great if you could provide us with the references that you are reading as well, so we can talk from the same place. Yours, Vlad On Wed, Apr 24, 2013 at 4:16 PM, Şükrü Bezen <[email protected]> wrote: > Hi Vlad, > > It looks good for me to focus on the proposal now and looking into mentor > later. > > I am considering collaborative filtering with user similarity and item > similarity. > And also association rule learning for finding out general behaviour of a > user-item group. > > I think those two would be good enough as the algorithms for a 3 month > period, what do you think ? > > I started my proposal but it is not finished yet, when it is finished (lets > say version-1) i will send it to get a feedback from you. > And about the scheduling part, I am working on that. > > > > > On Wed, Apr 24, 2013 at 6:23 AM, Vlad Niculae <[email protected]> wrote: >> >> Hi Şükrü >> >> We can focus on the proposal now and decide later who is better to >> mentor it. I could do it but it is not the thing I would be the best >> at mentoring, so to solve the chicken-and-egg problem we can optimize >> the decisions jointly when the time comes. >> >> Did you start working on your proposal and on a tentative schedule? >> Did you think of what algorithms you will implement? >> >> Also, regarding all of the other points made in the thread: even if >> merging into master is a good way to finish a GSoC, there is nothing >> wrong with leaving a project in a mergable state, but freezing it >> until 1.0 (which hopefully will not be very late!) >> >> Yours, >> Vlad >> >> On Sat, Apr 20, 2013 at 5:46 PM, Şükrü Bezen <[email protected]> wrote: >> > I am still looking for a mentor to backup this idea of mine, anyone >> > interested ? >> > >> > >> > On Wed, Apr 17, 2013 at 2:43 AM, Mathieu Blondel <[email protected]> >> > wrote: >> >> >> >> >> >> >> >> On Mon, Apr 15, 2013 at 10:45 PM, Olivier Grisel >> >> <[email protected]> wrote: >> >>> >> >>> Also I would rather avoid adding fancy new application specific public >> >>> API just for the recsys use case. Especially before the 1.0 release. >> >>> If we can stick to the existing public fit / transform / predict API >> >>> (using scipy.sparse matrices), then fine. Otherwise that might cause >> >>> trouble. >> >> >> >> >> >> I mentioned it in another thread but inverse_transform is exactly the >> >> method that we need to impute missing values. >> >> >> >> Mathieu >> >> >> >> >> >> >> >> ------------------------------------------------------------------------------ >> >> Precog is a next-generation analytics platform capable of advanced >> >> analytics on semi-structured data. The platform includes APIs for >> >> building >> >> apps and a phenomenal toolset for data science. Developers can use >> >> our toolset for easy data analysis & visualization. Get a free account! >> >> http://www2.precog.com/precogplatform/slashdotnewsletter >> >> _______________________________________________ >> >> Scikit-learn-general mailing list >> >> [email protected] >> >> https://lists.sourceforge.net/lists/listinfo/scikit-learn-general >> >> >> > >> > >> > >> > -- >> > -------------------------------------------------- >> > Şükrü BEZEN >> > >> > >> > ------------------------------------------------------------------------------ >> > Precog is a next-generation analytics platform capable of advanced >> > analytics on semi-structured data. The platform includes APIs for >> > building >> > apps and a phenomenal toolset for data science. Developers can use >> > our toolset for easy data analysis & visualization. Get a free account! >> > http://www2.precog.com/precogplatform/slashdotnewsletter >> > _______________________________________________ >> > Scikit-learn-general mailing list >> > [email protected] >> > https://lists.sourceforge.net/lists/listinfo/scikit-learn-general >> > >> >> >> ------------------------------------------------------------------------------ >> Try New Relic Now & We'll Send You this Cool Shirt >> New Relic is the only SaaS-based application performance monitoring >> service >> that delivers powerful full stack analytics. Optimize and monitor your >> browser, app, & servers with just a few lines of code. Try New Relic >> and get this awesome Nerd Life shirt! http://p.sf.net/sfu/newrelic_d2d_apr >> >> _______________________________________________ >> Scikit-learn-general mailing list >> [email protected] >> https://lists.sourceforge.net/lists/listinfo/scikit-learn-general > > > > > -- > -------------------------------------------------- > Şükrü BEZEN > > ------------------------------------------------------------------------------ > Try New Relic Now & We'll Send You this Cool Shirt > New Relic is the only SaaS-based application performance monitoring service > that delivers powerful full stack analytics. Optimize and monitor your > browser, app, & servers with just a few lines of code. 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