[pymvpa] sensitivity analysis as feature selection in searchlight analysis

[Michael Hanke]

Hi,

On Wed, Apr 24, 2013 at 11:11:55AM +0200, Danilo Bzdok wrote:
> Hi there,
> 
> I am wondering whether the PyMVPA API allows not only ANOVA-based
> feature selection as a preprocessing step during a searchlight
> analysis but also a sensitivity analysis based on LinearNuSVMC for
> example? In a way, this would probably be equivalent to a
> single-iteration recursive feature selection before actual
> classification in each searchlight. I would be happy for any advice...

Take a look at sensanas.py in the example folder. It shows you a bunch
of sensitivity measures all used with the ANOVA API. You can plug them
in, where you have ANOVA right now, and you would achieve the desired
effect,

Michael


-- 
Michael Hanke
http://mih.voxindeserto.de