Feature Ranking (Wrapper Methods)
=================================

The feature weights are used for selecting and ranking
purposes inside one of the implemented schemes:

	* *Recursive Feature Elimination family* [Guyon02]_: RFE,
	  ERFE [Furlanello03]_, BISRFE, SQRTRFE 
	* *Recursive Forward Selection* family [Louw06]_: RFS
	* *One-step*

.. autoclass:: mlpy.Ranking
   :members:	       


.. [Guyon02] Isabelle Guyon, Jason Weston, Stephen Barnhill, Vladimir Vapnik. Gene Selection for Cancer Classification using Support Vector Machines, Machine Learning, v.46 n.1-3, p.389-422, 2002.
.. [Furlanello03] C Furlanello, M Serafini, S Merler, and G Jurman. Advances in Neural Network Research: IJCNN 2003, chapter An accelerated procedure for recursive feature ranking on microarray data. Elsevier, 2003.
.. [Louw06] N Louw and S J Steel. Variable selection in kernel Fisher discriminant analysis by means of recursive feature elimination. Computational Statistics & Data Analysis, Volume 51 Issue 3 Pages 2043-2055, 2006.
