<div dir="ltr">One can also try Balancer()<div><a href="http://www.pymvpa.org/generated/mvpa2.generators.resampling.Balancer.html">http://www.pymvpa.org/generated/mvpa2.generators.resampling.Balancer.html</a><br></div></div><div class="gmail_extra"><br><div class="gmail_quote">On Thu, Apr 28, 2016 at 11:47 AM, Yaroslav Halchenko <span dir="ltr"><<a href="mailto:debian@onerussian.com" target="_blank">debian@onerussian.com</a>></span> wrote:<br><blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex"><span class=""><br>
On Thu, 28 Apr 2016, Ben McCartney wrote:<br>
<br>
>    Thank you for the quick reply Yaroslav, I substituted in GNB at your<br>
>    suggestion and it didn't seem to perform quite as well as the linearCSVMC<br>
>    method I was using without class weights. What kind of data have you been<br>
>    using it for? Perhaps it isn't so well suited to EEG data<br>
<br>
</span>FWIW -- could well be... its naiveness could well be of a factor ;)<br>
it was some fMRI data I have used it on.<br>
<span class="im HOEnZb"><br>
--<br>
Yaroslav O. Halchenko<br>
Center for Open Neuroscience     <a href="http://centerforopenneuroscience.org" rel="noreferrer" target="_blank">http://centerforopenneuroscience.org</a><br>
Dartmouth College, 419 Moore Hall, Hinman Box 6207, Hanover, NH 03755<br>
Phone: +1 (603) 646-9834                       Fax: +1 (603) 646-1419<br>
WWW:   <a href="http://www.linkedin.com/in/yarik" rel="noreferrer" target="_blank">http://www.linkedin.com/in/yarik</a><br>
<br>
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