[pymvpa] Dataset with multidimensional feature vector per voxel

[Yaroslav Halchenko]

On Tue, 24 Nov 2015, Ulrike Kuhl wrote:
> I was able to reproduce the error when using a mask (1736 voxels) on my toy data:

could you share the code snippet and this toy dataset (h5save it)?

> Traceback (most recent call last):
>   File "DummyMvpa_noisy.py", line 322, in <module>
>     res_noisy = sl(DS_noisy)
>   File "/usr/lib/python2.7/dist-packages/mvpa2/base/learner.py", line 259, in __call__
>     return super(Learner, self).__call__(ds)
>   File "/usr/lib/python2.7/dist-packages/mvpa2/base/node.py", line 121, in __call__
>     result = self._call(ds)
>   File "/usr/lib/python2.7/dist-packages/mvpa2/measures/searchlight.py", line 143, in _call
>     results = self._sl_call(dataset, roi_ids, nproc)
>   File "/usr/lib/python2.7/dist-packages/mvpa2/measures/searchlight.py", line 371, in _sl_call
>     results=self.__handle_all_results(p_results))
>   File "/usr/lib/python2.7/dist-packages/mvpa2/measures/searchlight.py", line 207, in _concat_results
>     results = sum(results, [])
>   File "/usr/lib/python2.7/dist-packages/mvpa2/measures/searchlight.py", line 527, in __handle_all_results
>     for r in results:
>   File "/usr/lib/pymodules/python2.7/pprocess.py", line 764, in next
>     self.store()
>   File "/usr/lib/pymodules/python2.7/pprocess.py", line 400, in store
>     self.store_data(channel)
>   File "/usr/lib/pymodules/python2.7/pprocess.py", line 747, in store_data
>     data = channel.receive()
>   File "/usr/lib/pymodules/python2.7/pprocess.py", line 135, in receive
>     obj = self._receive()
>   File "/usr/lib/pymodules/python2.7/pprocess.py", line 121, in _receive
>     raise obj
> IndexError: index 1736 out of bounds 0<=index<1736


> Why does the searchlight run out of the mask?

not sure yet

-- 
Yaroslav O. Halchenko
Center for Open Neuroscience     http://centerforopenneuroscience.org
Dartmouth College, 419 Moore Hall, Hinman Box 6207, Hanover, NH 03755
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