Hi
I would like to provide an implementation for the *Ensemble selection
technique *as described by the following paper *: Ensemble selection from
libraries of models by Rich Caruana ,Alexandru Niculescu-Mizil,Geoff
Crew,Alex Ksikes *(
www.cs.cornell.edu/~caruana/ctp/ct.papers/caruana.icml04.icdm06long.pdf),
it's a simple greedy approach for selecting an ensemble from a library of
models of different parameters that maximize a given score function, I
would like to implement this as a part of the ensemble package of
scikit-learn?
I've already implemented an initial implementation but not complying with
the standards of scikit-learn, I'd like to know how can I contribute this
implementation to the existing toolkit.
Respectfully
Yakoub
------------------------------------------------------------------------------
Sponsored by Intel(R) XDK
Develop, test and display web and hybrid apps with a single code base.
Download it for free now!
http://pubads.g.doubleclick.net/gampad/clk?id=111408631&iu=/4140/ostg.clktrk
_______________________________________________
Scikit-learn-general mailing list
[email protected]
https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
