Interesting... I don't get this error under Python 2.7.3+PyMVPA 2.2.0. Tren
On Sun, Aug 4, 2013 at 3:05 PM, Tren Huang <[email protected]> wrote: > Dear PyMVPA experts, > > I successfully ran through the following code using Python 2.6.2+PyMVPA > 2.2.0: > > from mvpa2.tutorial_suite import * > ds=get_raw_haxby2001_data(roi='vt') > part=NFoldPartitioner() > sl=sphere_gnbsearchlight(GNB(),part,postproc=mean_sample()) > map=sl(ds) > > However, the same code with a new partitioner led to errors: > > part=ChainNode([NFoldPartitioner(), > Balancer(limit='partitions',apply_selection=True)], > space='partitions') > > The error messages were: > > Traceback (most recent call last): > File "debug.py", line 9, in <module> > map=sl(ds) > File "/usr/local/lib/python2.6/dist-packages/mvpa2/base/learner.py", > line 239, in __call__ > return super(Learner, self).__call__(ds) > File "/usr/local/lib/python2.6/dist-packages/mvpa2/base/node.py", line > 96, in __call__ > result = self._call(ds) > File > "/usr/local/lib/python2.6/dist-packages/mvpa2/measures/searchlight.py", > line 141, in _call > results = self._sl_call(dataset, roi_ids, nproc) > File > "/usr/local/lib/python2.6/dist-packages/mvpa2/measures/adhocsearchlightbase.py", > line 354, in _sl_call > if not (np.all(p.sa[targets_sa_name].value == labels)): > ValueError: shape mismatch: objects cannot be broadcast to a single shape > > Any ideas about what's wrong here? > > Thanks! > Tren >
_______________________________________________ Pkg-ExpPsy-PyMVPA mailing list [email protected] http://lists.alioth.debian.org/cgi-bin/mailman/listinfo/pkg-exppsy-pymvpa
