try to fix the toctree in a semi-meaningful way.
DOC/EXAMPLES fix more documentation errors, deprecated api usages.
EXAMPLES remove non-existing example from doc, don't trigger deprecated interface in enet_path, lasso_path
much better input validation, test that warning is raised on (n_samples, 1) y
FIX: sidebar.js
Move Google javascript near </body>

Conflicts:

	doc/themes/scikit-learn/layout.html
Merge pull request #2293 from amueller/warning_input_shapes

[MRG] Fix tests on master, better input validation.
ENH speed up logistic_sigmoid (using less code)

Timings, before:

>>> x = np.linspace(-1000, 1000, 10000)
>>> %timeit logistic_sigmoid(x)
1000 loops, best of 3: 570 us per loop

After:

>>> %timeit logistic_sigmoid(x)
1000 loops, best of 3: 286 us per loop

For comparison:

>>> %timeit np.tanh(x)
10000 loops, best of 3: 117 us per loop
>>> %timeit .5 * (1 + np.tanh(x/2.))
1000 loops, best of 3: 301 us per loop

TODO: optimize log_logistic_sigmoid.
Rename cv_scores(_) back to grid_scores(_) to keep the name free for a future refactoring
Merge pull request #2299 from ogrisel/grid-scores

Rename cv_scores(_) back to grid_scores(_) to keep the name free
MISC: fix plot_multilabel example
FIX make BaseSGDClassifier an ABC
Merge pull request #2295 from larsmans/fast-sigmoid

[MRG] speed up logistic_sigmoid (using less code)
BUG: type->dtype in a cross-platform way
compute offset in a cross-platform way
BUG: don't subtract offset in binary_tree
add explicit types to neighbors cython code
WIP: explicitly mark all base classes as ABC with abstractmethod inits
Add concrete __init__ for LinearSVM
Add concrete implementation for SGDClassifier