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JuliaML / LossFunctions.jl

Julia package of loss functions for machine learning.
https://juliaml.github.io/LossFunctions.jl/stable
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Consider tests against ArrayFire.jl #32

Closed Evizero closed 8 years ago

Evizero commented 8 years ago

https://github.com/JuliaComputing/ArrayFire.jl

Worth thinking about given that it has a CPU back-end that should work on travis. In the end we would like to run these things on the GPU.

Thoughts?

Evizero commented 8 years ago

Looking into this a bit I don't think Losses will lend themself to that so well. I think the most benefit would be for transformations if we do them cleverly. I will look into it a in a bit more detail further down the road, right now this has a lower priority for me

tbreloff commented 8 years ago

Agreed. This is a job for transformations

On Thursday, August 18, 2016, Christof Stocker notifications@github.com wrote:

Looking into this a bit I don't think Losses will lend themself to that so well. I think the most benefit would be for transformations if we do them cleverly. I will look into it a in a bit more detail further down the road, right now this has a lower priority for me

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