Thank you for your comments. I was indeed looking to use Rcpp for
integration for the C++ portions where compiled code would have performance
benefits while sticking to R code elsewhere.

I've had some previous bad experiences with Swig for interfacing C code with
Python code but it looks like Rcpp is much more friendlier.

And thanks for the support!

Chillu

On Thu, Mar 4, 2010 at 1:18 PM, Romain Francois <romain@r-enthusiasts.com>wrote:

> Hello,
>
> I can't offer to mentor because I don't know anything about symbolic
> regression.
>
> However, since you have R/C++ as the skills requirements, I would strongly
> recommend that you use Rcpp as an enabling technology, so that you can be
> productive on C++/symbolic regressions as opposed to manage R API quirks.
>
> Also, you can count on some implicit support through Rcpp mailing list.
> https://lists.r-forge.r-project.org/cgi-bin/mailman/listinfo/rcpp-devel
>
> Good luck finding a mentor, this sounds like a cool project.
>
> Romain
>
>
> On 03/03/2010 08:17 PM, Chidambaram Annamalai wrote:
>
>>
>> Hi all,
>>
>> I am looking to extend the regression and data analysis capabilities of R
>> through Symbolic Regression that can potentially find implicit equation
>> relationships in the input data. You can find my project proposal at:
>> http://rwiki.sciviews.org/doku.php?id=developers:projects:gsoc2010:syrfr
>>
>> I am looking for a mentor to guide me through the summer on the project
>> under the Google Summer Of Code program (GSOC 2010) with relevant
>> experience
>> in Symbolic Regression or Genetic Programming in general.
>>
>>
>> Chillu
>>
>
>
> --
> Romain Francois
> Professional R Enthusiast
> +33(0) 6 28 91 30 30
> http://romainfrancois.blog.free.fr
> |- http://tr.im/OIXN : raster images and RImageJ
> |- http://tr.im/OcQe : Rcpp 0.7.7
> `- http://tr.im/O1wO : highlight 0.1-5
>
>

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