[pymvpa] how to ignore subsets of data?

[Yaroslav Halchenko]

I am afraid that new 4D dataset (not a file) would need to be created at
some point sooner or later in the processing pipeline... how and when
(optimally) -- it would depend on the version of PyMVPA are we talking
about?  is data that big that subselecting a dataset (not a file ;-)
) samples within the script  would be a concern?

On Fri, 06 May 2011, Alexandra Woolgar wrote:

>    Apologies if this has been covered already, I couldn't see anything
>    about it in the archives.


>    Is there a simple way to tell PyMVPA to ignore whole conditions? I have
>    12 conditions, all of which occur in each chunk, and I want to use only
>    a subset of the conditions in the classification analysis. Since I'm
>    planning to run several analyses each using a different subset of the
>    conditions, I was hoping I could tell the toolbox to ignore some of the
>    conditions (perhaps by changing the labels, for example?), rather than
>    having to create new 4D files each time?

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