fix: map labels to {0, 1}
fix: deviance computation in BinomialDeviance was wrong (ignored cases where y == 0) - thanks to ChrisBeaumont for reporting this issue
raise ValueError if division through zero in LogOddsEstimator
add loss function for gradient boosting binomial deviance
pep8 and assert_equal instead of assert
correct docstring
Merge branch 'master' into gbrt-deviance-fix
use unique from sklearn backports (return_inverse)
Added test for fit_transform(X)==fit(X).transform(X)
Fixed pep8 issues
Merge branch 'master' into gbrt-deviance-fix
BUG in KernelPCA: wrong default value for gamma
Merge pull request #1688 from hrishikeshio/fit_transform

Test that fit_transform(X) does the same as fit(X).transform(X); fixes #1687
FIX doctest kernelpca
ENH speed up RBFSampler by ~10%

Applied the same to SkewedChi2Sampler, without measuring.

I was actually aiming for reduced memory usage, but unfortunately that
didn't matter much.
BUG oops, removed validation by accident
Merge branch 'master' into gbrt-deviance-fix
ENH get rid of most imports in test_common
TST stronger tests for arbitrary classes. make explicit what works and what doesn't.
BUG fix broken grid search example