On Fri, Dec 12, 2014 at 1:42 PM, Yaroslav Halchenko <[email protected]> wrote:
> > On Fri, 12 Dec 2014, Thomas Nickson wrote: > > > I've trained a GNB classifier on a dataset with moderate success and > would > > like to look at the regions that the classifier finds most > interesting. > > just use sphere_gnbsearchlight ? ;) > > I wanted to do whole brain but I'm doing both anyway. > > I > > notice in the code that there is a sensitivity analyser for the GNB > module > > but that it has been removed: > > ;) wonders of the open-source, aren't they? ;) > > Truly! > > ## class GNBWeights(Sensitivity): > > ## """`SensitivityAnalyzer` that reports the weights GNB trained > > ## on a given `Dataset`. > > ## """ > > ## _LEGAL_CLFS = [ GNB ] > > ## def _call(self, dataset=None): > > ## """Extract weights from GNB classifier. > > ## GNB always has weights available, so nothing has to be computed > here. > > ## """ > > ## clf = self.clf > > ## means = clf.means > > ## XXX we can do something better ;) > > ## return mean > > > Is the use of the means considered to be poor in some sense? > > well -- kinda since they wouldn't be anyhow describing the 'sensitivity' > really, just a mean of the voxel given a class label. > Ok. > > > Could anyone provide more information about this: > > > # XXX Later come up with some > > # could be a simple t-test maps using distributions > > # per each class > > yeah -- something like that might prove being useful, but probably not > too far from omnibus or ad-hoc Anovas which we have. So that is why > they were never implemented > You mean using ANOVAs to calculate the sensitivity? How do I do that? > > -- > Yaroslav O. Halchenko, Ph.D. > http://neuro.debian.net http://www.pymvpa.org http://www.fail2ban.org > Research Scientist, Psychological and Brain Sciences Dept. > Dartmouth College, 419 Moore Hall, Hinman Box 6207, Hanover, NH 03755 > Phone: +1 (603) 646-9834 Fax: +1 (603) 646-1419 > WWW: http://www.linkedin.com/in/yarik > > _______________________________________________ > Pkg-ExpPsy-PyMVPA mailing list > [email protected] > http://lists.alioth.debian.org/cgi-bin/mailman/listinfo/pkg-exppsy-pymvpa >
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