Hi all, Thanks for the pointers! The algorithm runs find with error between 0 and 2, though I'm running into some issues because I forgot to include the mapper for my dataset in the permutation dataset and when I combined all the subject-level actual results into one dataset. So PyMVPA is stuck using the IdentityMapper, which definitely doesn't work. It would be helpful if GroupClusterThreshold printed a warning if the datasets it's training or called on don't have any mappers, since it's unlikely that a user will actually use this on a dataset without any mappers, right?
Thanks, Bill On Mon, Sep 28, 2015 at 10:51 AM, Michael Hanke <[email protected]> wrote: > Hi, > > On Mon, Sep 28, 2015 at 4:42 PM, Richard Dinga <[email protected]> wrote: > >> > I'm performing searchlight support vector regression, not classification, >> > so my error goes from 0 to 2 instead of 0 to 1. Can I simply take `2 - >> > error` (so higher is better) or does the algorithm require the values to >> > lie between 0 and 1? >> >> You can do that, as long as higher is better. Algorithm will just sort them >> and find nth biggest value. >> >> > The docs say the accuracy maps must be the result of >> > classification, but is there a specific reason regression won't work? >> >> I have no idea :) Original paper doesn't mention regression. Will p-values >> and FDR still make sense? >> >> Right now I cannot think of a reason we it wouldn't work -- as long as > "bigger is better". > > The algorithm converts pretty much anything into > probabilities/frequencies. 1. Value corresponding to a particular > probability under H0 -> threshold. 2. frequency with which a particular > blob size has been observered in a group average map under H0. > > Should work. > > Michael > > > > > -- > Michael Hanke > http://mih.voxindeserto.de > > > _______________________________________________ > Pkg-ExpPsy-PyMVPA mailing list > [email protected] > http://lists.alioth.debian.org/cgi-bin/mailman/listinfo/pkg-exppsy-pymvpa >
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