[pymvpa] one class again

[basile pinsard]

Hello Pymvpa,

I have questions regarding the one-class svm implementation:
SVM(svm_impl='ONE_CLASS')
when training on a dataset of small size (where there might not be any
structure) the call to train often hangs forever.
When I create a random dataset with the same dimensions, or if I replace
the content of the sample array with random, it runs smoothly.
I checked in my dataset and there are no nans or infs.
Could this be just the distribution of the data that causes this to hang?

I know that this problem is due to LibSVM but I wanted to confirm that it
is the last version that is included in PyMVPA.

Thanks.

-- 
Basile Pinsard

*PhD candidate, *
Laboratoire d'Imagerie Biomédicale, UMR S 1146 / UMR 7371, Sorbonne
Universités, UPMC, INSERM, CNRS
*Brain-Cognition-Behaviour Doctoral School **, *ED3C*, *UPMC, Sorbonne
Universités
Biomedical Sciences Doctoral School, Faculty of Medicine, Université de
Montréal
CRIUGM, Université de Montréal
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