[pymvpa] Individual measures for subjects

[Arman Eshaghi]

MyData is structural MRI data coming from fmri_dataset function. There are
two chunks, and similar to clf.predictions (in tutorial), I'm wondering
whether I can get each predicted label, because I want to compare AUC in R.

Thanks
Arman


On Fri, Jan 31, 2014 at 8:48 PM, Yaroslav Halchenko
<debian at onerussian.com>wrote:

>
> On Fri, 31 Jan 2014, Arman Eshaghi wrote:
>
> >    Dear all,
> >    I have the following�snippet� and�according�to documentations I can
> get
> >    different statistics from 'results' object.�
> >    However, I was wondering how I can get individual (subject by subject)
>
>
> >    labels, or in other word how I can see the predictions for each
> subject?�
> >    Hopefully I will add it somewhere in�documentation�for posterity.
> >    All the best,
> >    Arman
> >    � �baseclf= LinearNuSVMC(nu=0.3)
> >    � �metaclf=MappedClassifier(baseclf, SVDMapper())
> >    � �cvte=CrossValidation(metaclf, HalfPartitioner(attr='chunks'),
> >    errorfx=lambda p, t: np.mean(p == t), � � �enable_ca=['stats'])
> >    � �results=cvte(MyData)
> >    #cvte.predictions() does not work
>
> and your MyData is the one containing the subjects or where do they
> come? (not sure since you do partitioning still based on chunks
> attribute not e.g. based on 'subjects' ;-) )
>
> --
> Yaroslav O. Halchenko, Ph.D.
> http://neuro.debian.net http://www.pymvpa.org http://www.fail2ban.org
> Senior Research Associate,     Psychological and Brain Sciences Dept.
> 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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