[pymvpa] Help needed untangling searchlight accuracy bias

[Yaroslav Halchenko]

On Thu, 20 Oct 2011, Mike E. Klein wrote:
> "little" runs or 9 "big" runs. I've initially gone with the 27-run
> route (i.e. created an attribute file with 27 chunks), mainly for the
> somewhat strange reason that (a) I couldn't get the LinearCSVMC
> classifier to work without using pymvpa's "mean_group_sample" first
> and 

what was meaned actually here since in each of those 27 chunks
you had only 1 sample per each of the 9 sounds, right?  or it meaned 3
across one dimension? thus collapsing 3 samples together?

and how SVM complained otherwise? ;)

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