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ApproximateGPs

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Aim of this package

Provide various algorithms for approximate inference in latent Gaussian process models, currently focussing on non-conjugate (non-Gaussian) likelihoods and sparse approximations.

Structure

Each approximation lives in its own submodule (<Approximation>Module), though in general using the exported API is sufficient.

The main API is:

Currently implemented approximations: