Re: [pymvpa] Returning trained classifiers generated during cross-validation

2012-01-08 Thread Yaroslav Halchenko
there are 2 ways: 1. [available only in mvpa2] any RepeatedMeasure (including CrossValidation) takes argument 'callback': callback : functor Optional callback to extract information from inside the main loop of the measure. The callback is called with the input

Re: [pymvpa] Returning trained classifiers generated during cross-validation

2012-01-08 Thread Yaroslav Halchenko
On Sun, 08 Jan 2012, Tyson Aflalo wrote: I happen to be using libsvm, so I am attempting to use option 2.  From what I understand SplitClassifier is a meta-classifier, and so I can simply feed my previous classifier to SplitClassifier and feed that to CrossValidation. 

Re: [pymvpa] Returning trained classifiers generated during cross-validation

2012-01-08 Thread Tyson Aflalo
No oddities. I just thought I would pass along some concrete usage which might expose a mistake that I was unaware of... nothing worse than a mistake that returns reasonable but incorrect results. Thanks again On Sun, Jan 8, 2012 at 7:03 PM, Yaroslav Halchenko deb...@onerussian.comwrote: On