Re: (Compact) Symbolic regression in gnumeric?

[Jean Bréfort <jean brefort normalesup org>]

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
>
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