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Quickly compute bounds for posterior mean and covariance functions

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aria-systems-group/PosteriorBounds.jl

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PosteriorBounding.jl

A toolset for bounding posterior Gaussian process (GP) regression mean and covariance components over an interval. Currently supports GPs defined with the squared-exponential kernel.

Installation

This package is not registered (yet). Add it using add or dev in the Julia package manager, e.g.

pkg> add https://github.com/aria-systems-group/PosteriorBounds.jl

Python Example

This tool can be called from Python using the juliacall package. Install with pip3 juliacall. See the example script example/pywrapper.py for usage details.

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Quickly compute bounds for posterior mean and covariance functions

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