Xval

This revives #235. Now that all the other elements are in place, I think that this is ready for review and in principle ready to be merged upstream (once it's been reviewed and fixed up, of course!). I am excited about this PR - evaluation of DWI models is something that I have been thinking a lot about in the past couple of years, since I started working on DWI. 

This PR also demonstrates the power and elegance of the uniform `Model`/`Fit` API we have in place. GGT!

For now, this PR only implements cross-validation for CSD and for the tensor model, but future work could extend this to other models, by implementing their `predict` methods. 

Also : a lot of PEP8 fixes in the CSD module and elsewhere :-) 
I am in no position to educate others, but I can tell you what I was thinking of:

http://scikit-learn.org/stable/modules/generated/sklearn.cross_validation.KFold.html

I was just thinking that there may be many of these validation things that can be re-used from their implementations.  Our models actually follow their API pretty closely!