Hi, Looks like an interesting idea. I'll try to investigate whether this can fit with our charting engine.
Regards, Jean Le jeudi 30 décembre 2010 à 00:27 +0100, Fabian Deutsch a écrit : > Hey, > > as a part of my diploma thesis I developed a symbolic regression tool, > finding _compact formulas_ for datasets. > So what does this mean? E.g. it can find the formula for the surface of > a circle providing samples to the software. > > Maybe it makes sense or there is interest in integrating this method as > an alternative to classic curve-fitting methods into gnumeric. AFAIK > neither LibreOffice nor Microsoft Office ship this kind of curve-fitting > technique. > > I've written a prototype in vala which works fairly well. It can be > found at > http://gitorious.org/pigp/libmlgp > > It includes a library doing all the work and a simple commandline > interface to run a symbolic regression. Please handle this software with > care, sometimes it does not know what it is doing :) > > The docs/ folder provides more informations on how to build and how to > run a regression. > > More on the topic of symbolic regression (Schmidt and Lipson published a > nice implementation in 2009 which raised my interest): > http://ccsl.mae.cornell.edu/eureqa > http://www.hakank.org/eureqa/ > My implementation differs from different ones, as it uses > multi-objective optimization (via NSGA-2) to find compact formulas, > classical symbolic regression is also fitting curves but by creating > arbitary long formulas. > > Questions | Thoughts? > > - fabian > > _______________________________________________ > gnumeric-list mailing list > [email protected] > http://mail.gnome.org/mailman/listinfo/gnumeric-list _______________________________________________ gnumeric-list mailing list [email protected] http://mail.gnome.org/mailman/listinfo/gnumeric-list
