[Libreoffice] Symbolic regression for curvefitting.
fabian.deutsch at gmx.de
Sun Jan 2 12:12:01 PST 2011
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 libreoffice calc.
AFAIK neither Microsoft Office nor gnumeric includes this method (that's
why I've also posted a similar mail to gnumeri's ml).
I've written a prototype in vala which works fairly well. It can be
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):
My implementation differs from different ones, as it uses
multi-objective optimization (via NSGA-2) to find (several differing)
compact formulas, classical symbolic regression is also fitting curves
to data, but it creates very long formulas to fit the data optimal.
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