Hi, sorry for not replying earlier.
On Mon, Nov 23, 2009 at 10:28:29PM -0800, Mark Lescroart wrote: > Hello, > > Real quick: Besides "None", what other arguments can you input for > "combiner=???" in a sensitivity analyzer for a feature selection > classifier? I see that it's supposed to be a "functor", whatever > that is, but some examples would be very helpful. A functor is a function object: http://en.wikipedia.org/wiki/Function_object Anything that can be called (a function object, a class with __call__, a lambda function) can serve as a combiner. The combiner is called with the original result and its return value in turn becomes the result. Functors could be: >>> import numpy as N Grand mean (please note the absence of the () at the end) >>> functor = N.mean Lambda function to multiple any input by two >>> functor = lambda x: x*2 More realistic combiner: mean along the first axis of an array >>> functor = lambda x: N.mean(x, axis=0) HTH, Michael -- GPG key: 1024D/3144BE0F Michael Hanke http://mih.voxindeserto.de _______________________________________________ Pkg-ExpPsy-PyMVPA mailing list [email protected] http://lists.alioth.debian.org/mailman/listinfo/pkg-exppsy-pymvpa
