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...
Best, -- =================================== Dr. med. Danilo Bzdok Post-Doc Brain Network Modelling Group Institute for Neuroscience and Medicine (INM-1) Research Centre Juelich Germany Phone +49 2461 618609 Mail [email protected] _______________________________________________ Pkg-ExpPsy-PyMVPA mailing list [email protected] http://lists.alioth.debian.org/cgi-bin/mailman/listinfo/pkg-exppsy-pymvpa
