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
Branding Nilearn
Follow sklearn API changes
No longer generate pdf by default
Warn that NiLearn is still in development
typo
Fixed a bug occuring for sklearn-0.10
First steps on Honorio-Samaras algorithm
Test signals generator

Code for main algorithm has been completed, but not tested (it has not
been run at all).
Corrected some bugs in Newton-Raphson step

Adapted the formula to enforce a positive solution.
The formula used for the second derivative contained an error (bad
sign).
Algorithm works on test case.

In the current state, the algorithm converges for different test cases.

The function contains **much** code for testing and asserting, that slows
down things a lot.
Added a debugging flag

Removed some test code.
Working example of honorio-samaras algorithm

This example is really rough, and there is debugging code everywhere.
But this state works.