is there a point where generic numpy.random gets explicitly seeded
upon sklearn import?
No, and I don't think that this is desirable: it would be a weird side
effect of importing the scikit. It might be interesting to seed the
global RNG in the tests, but I have found such an approach
a bit off-topic, but
tests ... but @seed'ing every test is somewhat a burden (probably a
wise solution would be to come with with a nose plugin or smth to seed
RNG before running every test)
I am surprised nose does not offer that. py.test has it built-in,
you just need to define globally the
UTF-8 characters are not very pleasant to work with, as only a fraction
of the world knows how to type them (that fraction depends on the
corresponding character).
I notice that they have creeped in a bunch of our files. I'll try to
remove them (if I find time). I believe that we should
