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@willtebbutt
willtebbutt authored Dec 26, 2021
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Expand Up @@ -258,8 +258,7 @@ Fortunately, there is really no need for this package to explicitly provide supp

As with hyperparmeter learning, Stheno doesn't support non-Gaussian likelihoods directly.
Rather, we expect users to obtain this functionality through the general functionality provided in `AbstractGPs`.
This part of the JuliaGaussianProcesses ecosystem is broadly under-developed, so please open issues on AbstractGPs if you're keen to help out!

This part of the JuliaGaussianProcesses ecosystem is under development in [ApproximateGPs.jl](https://github.com/JuliaGaussianProcesses/ApproximateGPs.jl/) -- everything there should interoperate well with Stheno.jl.


## GPs + Deep Learning
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