DOC: bumped version number after release ;)
ENH: 2 stage optimization for FastICA found in current AFNI
ENH: FastICA -- primary_limit -> coarse_limit + default to None

Introduced to make things a bit clearer since there is already "fine tuning"
stage where optimization switches to used_g upon reaching the limit.
Calling the limit "coarse" instead of "primary/secondary" would help to preserve
original messages/logic thus not confusing existing users, while still allowing
to kick in gFine before reaching the limit
ENH: FastICA - test having some coarse_limit
DOC: moved coarse_limit description under FastICA and removed signature (present elsewhere)
Merge pull request #4 from yarikoptic/master

FastICA -- introduce coarse_limit to trigger switching to fine_g before reaching target limit. 

Thanks to Prantik Kundu and Yaroslav Halchenko for the patch!
Merge branch 'master' into debian

* master:
  DOC: moved coarse_limit description under FastICA and removed signature (present elsewhere)
  ENH: FastICA - test having some coarse_limit
  ENH: FastICA -- primary_limit -> coarse_limit + default to None
  ENH: 2 stage optimization for FastICA found in current AFNI
  DOC: bumped version number after release ;)
New git snapshot from master. Updated changelog.
FIX: make pip work without explicit URL.

now we point directly to the tar archive in the
download_url field of the setup.py file.
DOC: added an example to GeneralExpansionNode and made the documentation more explicit
DOC: indicated what expansion failed in the tests of GeneralExpansionNode
FIX: made code and documentation consistent regarding the parameter k in invert_exp_funcs2
Merge pull request #6 from AlbertoEsc/documentation-general-expansion-node

Documentation general expansion node.

Thanks to Alberto Escalante!
NEW: update local copy of py.test to version 2.3.4
FIX: wrap sklearn algs in modules ending with "_"

For historical reasons we were not wrapping sklearn algs in modules with
names ending with "_". This restriction prevented us from wrapping algs
that we could have wrapped. We lift it now, since it does not seem to
have any bad side effects anymore.
A proper validation would be to really test that we can run the algs.
FIX: cStringIO does not support Unicode

`autogen` was breaking in nodes with Unicode characters in their docstring.
We traced this down to cStringIO, which unlike StringIO does not support
unicode.
Merge pull request #9 from mdp-toolkit/sklearn_debug

Fix a couple of problems with sklearn
DOC: some small updates and fixes in docstrings and comments
NEW: added extension setup and teardown function decorator
FIX: hacky fix for the unicode issue in bimdp autogen (fix for Bug #11)