so - just make sure that you are taking an ROI mask for the dataset at
hands -- that it has the same volume dimensionality (and theoretically
qform/sform).
On Wed, 14 Apr 2010, Stephanie A. Gagnon wrote:
> "/usr/local/lib/python2.6/dist-packages/mvpa/mappers/flatten.py",
> line 107, in _forward_data
> % (str(sshape), str(oshape)))
> ValueError: FlattenMapper has not been trained for data shape '(47,
> 84, 80)' (known only '(50, 85, 80)').
--
.-.
=------------------------------ /v\ ----------------------------=
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Yaroslav Halchenko /( )\ ICQ#: 60653192
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