binary conventions for sparse arrays

JuliaML / LossFunctions.jl

Julia package of loss functions for machine learning.

https://juliaml.github.io/LossFunctions.jl/stable

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binary conventions for sparse arrays #57

Closed ahwillia closed 7 years ago

ahwillia commented 7 years ago

As discussed here:

https://github.com/JuliaML/LossFunctions.jl/issues/56

Ready to merge after review by @Evizero

ahwillia commented 7 years ago

Do you think it is a good idea to be testing against v0.6 this early? I'm inclined to not do that at this time... but I'll leave that decision to you.

Evizero commented 7 years ago

Well, as long as the differences are manageable I kinda like the excuse to stay aware of what needs to change down the line. That said, once it is annoying enough I will surely switch it off

coveralls commented 7 years ago

Coverage increased (+0.2%) to 94.196% when pulling 238d24d40d1a4f041d766325585189fce44ef7bd on sparse into a2501327027fa4287b2837664ed14b01cf94a3c8 on master.