[pymvpa] Individual measures for subjects

[Arman Eshaghi]

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*
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