[pymvpa] Dataset with multidimensional feature vector per voxel

[Bill Broderick]

No problem! I've only used the random majority under-sampling with
replacement so far, but it has a whole lot of options.

On Thu, Nov 19, 2015 at 10:01 AM, Yaroslav Halchenko <debian at onerussian.com>
wrote:

>
> On Thu, 19 Nov 2015, Bill Broderick wrote:
>
> > I ran into a similar issue with unbalanced classification and wanted
> > to look at the individual partitions as well. I couldn't figure
> > out how to do so just in PyMVPA, so I ended up using a separate Python
> module,
> > UnbalanceDataset: https://github.com/fmfn/UnbalancedDataset. With
> > that, I sub-sampled the more common group to balance the two groups,
> > which created a new dataset. I was then able to investigate what was
> > going on in that dataset and what each of the partitions look like as
> > if it were a regular dataset.
>
> That is a sweet little toolbox -- thanks for sharing!
>
> --
> 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
> WWW:   http://www.linkedin.com/in/yarik
>
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