FIX: new numpy does raises exception on bincount of float arrays
MISC: better error message
API: rename io to input_data
Create sub-package image
API: move testing to _utils.testing
MISC: undo typo
ENH: allow list in target_affine
ENH: accept 3D niimg in NiftiMasker.transform
ENH: raise meaningful errors on empty inputs
More readable error message
ENH: more flexibility in input type

Get various transformers to work on 3D files
Fix buggy test
MAINT: more recent version of sklearn on travis
changed the score function from precision_score to accuracy_score since the defult parameter of the later is more complex.
Backward compatibility: Support older skl version for accuracy score
Change logo of the website
Replace nilearn.io by nilearn.input_data
Load data in memory after fit in Masker
Tweak message on front page
BUG: adapt to sklearn API changes