On Thu, Jul 26, 2012 at 02:16:50PM -0400, Edmund Chong wrote: > foo1 = partitioner.generate(dataset)
You could to datasets = list(partitioner.generate(dataset)) to get them all at once. > > print foo2.summary() > > ...I tried that, but it gives me a summary table of the number of samples > per condition per chunk. How do I view the samples per condition per > partition (classification fold)? That a look at the datasets. They have a sample attribute 'partition' (or something like that). Now look at the help for Dataset.summary() (just do ``ds.summary?`` in IPython). That will list a 'chunks_attr' arguments that you can set to be the partitions argument. Which in turn will cause the summary to be per-partition. Hope that helps, Michael -- Michael Hanke http://mih.voxindeserto.de _______________________________________________ Pkg-ExpPsy-PyMVPA mailing list [email protected] http://lists.alioth.debian.org/cgi-bin/mailman/listinfo/pkg-exppsy-pymvpa
