[pymvpa] Help

[Yaroslav Halchenko]

indeed, seeing output of  sd.summary()  could be of value ;)

On Mon, 06 Nov 2017, Christopher Markiewicz wrote:

>    Hi Jorge,
>    Yarik and Nick are definitely going to be better resources than I will on
>    this issue, but it occurs to me to ask whether your input datasets consist
>    of a single beta per condition (per run), or a beta per event? I've found
>    that classification accuracies are much higher than chance across the
>    whole brain when using a single beta per condition, while a beta estimate
>    per event tends to give a distribution (across voxels) with a mean very
>    close to chance. I'm not familiar with the hyperalignment algorithm, but,
>    if it doesn't account for the spatial distribution of classification
>    accuracies, you might need to add a correction step to adjust the
>    distribution to fit the expected distribution.
-- 
Yaroslav O. Halchenko
Center for Open Neuroscience     http://centerforopenneuroscience.org
Dartmouth College, 419 Moore Hall, Hinman Box 6207, Hanover, NH 03755
Phone: +1 (603) 646-9834                       Fax: +1 (603) 646-1419
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