I think it's a great idea worth trying out. We have always done significance
tests just on the final frontier of models as a post processing step. Moving
this into the algorithm could focus the search more on significant higher
quality solutions. One thing to beware of though is that using parsimon
Michael,
Thanks for your reply with the information about the Eureqa API -- I
am forwarding it to the r-devel list below.
Dirk,
Will you please agree to referring to the syrfr package as symbolic
genetic algorithm regression of functions but not (yet) general
relations? It would be best to refe
Michael,
Thanks for your reply:
On Mon, Mar 8, 2010 at 12:41 AM, Michael Schmidt wrote:
>
> Thanks for contacting me. Eureqa takes into account the total size of an
> equation when comparing different candidate models. It attempts to find the
> set of possible equations that are non-dominated in
Hi James,
Thanks for contacting me. Eureqa takes into account the total size of an
equation when comparing different candidate models. It attempts to find the
set of possible equations that are non-dominated in both error and size. The
final results is a short list consisting of the most accurate
Oh oops. I clearly embarrassed myself. :D
I believe you are suggesting that besides the evaluation functions proposed
in the paper you want to test the model produced by SR using statistical
tests to prove its validity? I haven't really given much thought about using
statistical tests in model eva
Chillu, I meant that development on both a syrfr R package capable of
using either F statistics or parametric derivatives should proceed in
parallel with your work on such a derivatives package. You are right
that genetic algorithm search (and general best-first search --
http://en.wikipedia.org/wi
> If I understand your concern, you want to lay the foundation for
> derivatives so that you can implement the search strategies described
> in Schmidt and Lipson (2010) --
> http://www.springerlink.com/content/l79v2183725413w0/ -- is that
> right?
Yes. Basically traditional "naive" error estimat
Chillu,
If I understand your concern, you want to lay the foundation for
derivatives so that you can implement the search strategies described
in Schmidt and Lipson (2010) --
http://www.springerlink.com/content/l79v2183725413w0/ -- is that
right? It is not clear to me how well this generalized app
It's been a while since I proposed syrfr and I have been constantly in
contact with the many people in the R community and I wasn't able to find a
mentor for the project. I later got interested in the Automatic
Differentiation proposal (adinr) and, on consulting with a few others within
the R commu
Per http://rwiki.sciviews.org/doku.php?id=developers:projects:gsoc2010
-- and http://rwiki.sciviews.org/doku.php?id=developers:projects:gsoc2010:syrfr
-- I am applying to mentor the "Symbolic Regression for R" (syrfr)
package for the Google Summer of Code 2010.
I propose the following test which a
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