[pymvpa] What is the value of using errorfx when using Cross validation?

[Nick Oosterhof]

On 10 Mar 2015, at 15:33, gal star <gal.star3051 at gmail.com> wrote:

> Therefore, for each fold, i'm loading different sample attribute so i could use 
> a balanced train set according to duplication of some data points from the train set. 
> I'm familiar with Balancer, though it balance every chunk by removal (and also i don't want to balance the test set, only the train set).
>  
> 
> […]
> 
> If there's way i could perform balancing in every iteration
> with duplication instead of removal using the PyMVPA API?

I’m not sure if duplication is a good idea, because it would arbitrarily duplicate identical patterns.

If you want to use all of your data, how about using the “count” parameter in Balancer?