scikit-learn/scikit-learn — pull request #440 by amueller (2011-11-14 12:42:04+00:00)
Title: Kernel approximation

See mailing list.
Contains code for rbf kernel approximation and skewed chi2 kernel approximation.
I am planning to add others, though I think for most people, rbf is the most interesting kernel.
Includes an example on the toy "digits" datasets that illustrates the use.

I put the module under "feature extraction". Not sure this is a good place. It is certainly quite different than other feature extraction functions available at the moment. On the other hand, it is about computing a feature map.

The narrative documentation is yet to come.
I could not get the reference to include the module. Do I have to add it somewhere beside modules/classes.rst?