[MRG] ENH add coverage multilabel ranking metric

This pr adds the coverage multilabel ranking metric in scikit-learn.

It's very useful as it carries a lot of intuition on your estimator performance. This is the average number of ~~true~~ labels that you need to predict in order to avoid missing any true one given your y_score matrix.

@jnothman Do you see an easy way to make this works with sparse csc `y_true`?
yes indeed. :-) For definition and example of different breaking strategy, you can have a look at http://docs.scipy.org/doc/scipy-dev/reference/generated/scipy.stats.rankdata.html