We can separate them into two packages in ML module like this. Traditional batch machine learning algorithms: - org.apache.hama.ml.batch
Online machine learning algorithms for massive and streaming data: - org.apache.hama.ml.online The biggest advantage is we can share reusable code between the two packages. On Thu, Jun 14, 2012 at 1:10 AM, Thomas Jungblut <[email protected]> wrote: > I'm going to focus still on batch learning, my next aim would be to try out > neural networks with BSP. > > http://ieeexplore.ieee.org/xpl/login.jsp?tp=&arnumber=685414&url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2FFabs_all.jsp%2FFarnumber%2F685414 > > http://techreports.cs.queensu.ca/files/1997-406.pdf > > Along with the pSVM we have then two strong learners. If you're interested, > pass me a private message. But I have to write a few exams next week so I'm > busy and this is just an idea, we'll see how fast I can get a prototye. > > Real time is difficult at the moment, we need the out of sync messaging. > > 2012/6/13 Edward J. Yoon <[email protected]> > >> Thank you for your sharing! >> >> On Wed, Jun 13, 2012 at 7:03 PM, Tommaso Teofili >> <[email protected]> wrote: >> > following up with this discussion on our dev list, I found an >> introductory >> > pdf to online ML which may be useful [1] >> > Apart fromt that we can start by creating the module structure in hama >> svn >> > (still the incubator one as the TLP move seems to take a while). >> > Regards, >> > Tommaso >> > >> > [1] : http://www.springerlink.com/content/m480047m572t6262/fulltext.pdf >> > >> > 2012/5/25 Edward J. Yoon <[email protected]> >> > >> >> I'm roughly thinking to create new module so that I can add 3rd party >> >> dependencies easily. >> >> >> >> On Fri, May 25, 2012 at 4:36 PM, Tommaso Teofili >> >> <[email protected]> wrote: >> >> > Do you have a plan for that Edward? >> >> > A separate package in examples or a separate (online) machine learning >> >> > module? Or something else? >> >> > Regards >> >> > Tommaso >> >> > >> >> > 2012/5/25 Edward J. Yoon <[email protected]> >> >> > >> >> >> OKay, then let's get started. >> >> >> >> >> >> My first idea is simple online recommendation system based on >> >> click-stream >> >> >> data. >> >> >> >> >> >> On Thu, May 24, 2012 at 6:26 PM, Praveen Sripati >> >> >> <[email protected]> wrote: >> >> >> > +1 >> >> >> > >> >> >> > For those who are interested in ML, please check this. GNU Octave >> is >> >> >> used. >> >> >> > >> >> >> > https://www.coursera.org/course/ml >> >> >> > >> >> >> > Another session is yet to be announced. >> >> >> > >> >> >> > Thanks, >> >> >> > Praveen >> >> >> > >> >> >> > On Thu, May 24, 2012 at 12:54 PM, Thomas Jungblut < >> >> >> > [email protected]> wrote: >> >> >> > >> >> >> >> +1 >> >> >> >> >> >> >> >> 2012/5/24 Tommaso Teofili <[email protected]> >> >> >> >> >> >> >> >> > and same here :) >> >> >> >> > >> >> >> >> > 2012/5/24 Vaijanath Rao <[email protected]> >> >> >> >> > >> >> >> >> > > +1 me too >> >> >> >> > > On May 23, 2012 10:26 PM, "Aditya Sarawgi" < >> >> >> [email protected]> >> >> >> >> > > wrote: >> >> >> >> > > >> >> >> >> > > > +1 >> >> >> >> > > > I would be happy to help :) >> >> >> >> > > > >> >> >> >> > > > On Wed, May 23, 2012 at 6:23 PM, Edward J. Yoon < >> >> >> >> [email protected] >> >> >> >> > > > >wrote: >> >> >> >> > > > >> >> >> >> > > > > Hi, >> >> >> >> > > > > >> >> >> >> > > > > Does anyone interesting in online machine learning? >> >> >> >> > > > > >> >> >> >> > > > > -- >> >> >> >> > > > > Best Regards, Edward J. Yoon >> >> >> >> > > > > @eddieyoon >> >> >> >> > > > > >> >> >> >> > > > >> >> >> >> > > > >> >> >> >> > > > >> >> >> >> > > > -- >> >> >> >> > > > Cheers, >> >> >> >> > > > Aditya Sarawgi >> >> >> >> > > > >> >> >> >> > > >> >> >> >> > >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> -- >> >> >> >> Thomas Jungblut >> >> >> >> Berlin <[email protected]> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> -- >> >> >> Best Regards, Edward J. Yoon >> >> >> @eddieyoon >> >> >> >> >> >> >> >> >> >> >> -- >> >> Best Regards, Edward J. Yoon >> >> @eddieyoon >> >> >> >> >> >> -- >> Best Regards, Edward J. Yoon >> @eddieyoon >> > > > > -- > Thomas Jungblut > Berlin <[email protected]> -- Best Regards, Edward J. Yoon @eddieyoon
