[MRG] Sample weights for gradient boosting

and piggy-packed ``'exponential'`` loss for binary classification (= AdaBoost).

~~I didn't implement sample weights for ``'lad'``, ``'huber'``, and ``'quantile'`` since it would require weighted median / percentiles. I will either raise a warning or exception in this case: what do you prefer?~~

cc @glouppe

TODO: ~~benchmark benchmark and some regression tests~~
Unless I am missing something, how can this work when `sample_weight=None`? The `return` statement will fail, wont it?