FIX more intuitive behavior for *SearchCV.score
MAINT: Remove BaseLibLinear for LogisticRegression
ENH: Improved verbosity and denesting
MAINT: be robust to numpy's DeprecationWarning

numpy 1.9 raises a lot of 'VisibleDeprecationWarning', which breaks our
test suite
FIX: Fix the imputation example
Repeated word: 'the the' -> 'the'

Removed one "the".
Merge pull request #3598 from GaelVaroquaux/np_warnings

[MRG+1] MAINT: be robust to numpy's DeprecationWarning
Merge pull request #3604 from rahiel/patch-1

Repeated word: 'the the' ~> 'the'
Merge pull request #3603 from MechCoder/fix_imputation_example

[MRG] FIX: Fix the imputation example
DOC rename "imputation.py" to "missing_values.py"

Should make it easier to find.
fix_gnb_proba
MAINT: Made the following changes
1. Use a single loop for both ovr and multinomial conditions
2. Better warning messages for penalty and loss conditions
3. Convergence warnings print only if verbose > 0
4. Used check_X_y instead of check_X
DOC dtype parameter on validation functions

Fixes #3609.
Merge pull request #3591 from MechCoder/refactor_logreg

[MRG] MAINT: Remove BaseLibLinear for LogisticRegression
DOC multi_output parameter on validation function
DOC: more explicit title

"Scaling strategies" was ambiguous: it could sound like how to rescale
data.
BUG: n_samples instead of n_features in cd_fast

Was causing a segfault under numpy master, that is more sensitive to
array index overflow. Our code was wrong, numpy is not to be blamed.
ENH: minor speed-up in k-means
ENH: Remove unused copy

One copy was done above the copy removed.

Validated IRL by @ogrisel
COSMIT: explicit comment