improved .gitignore
adding nilearn/sparse_models (S-LASSO and TV-l1) from parietal-python
omitted example script (haxby S-LASSO)
monkey patch for when b \in kernel(X.T) in code for computing logistic alpha_max
cleanup deadcode in sparse_models/
more coverage for sparse_models/
all tests green for sparse_models
make rule for UML
BF: undid change to Makefile (travis dep: pyreverse not satistfied)
cleanup
back-porting center_data (from new sklearn versions)
new tests for sparse_models
backports for center_data in estimators.py
more backports
omitted module
ENH: reduced number of default args in smooth lasso example
oasis vbm (smooth lasso) example
fixed doc in s-lasso oasis vbm example script
BF: addressing comment 'X_std does not seem to be used' of issue #219 (Ping @agramfort)
typo ANOVA -> univariate screening (cmts to issue #219)