AbstractGPs.jl is a package that defines a low-level API for working with Gaussian processes (GPs), and basic functionality for working with them in the simplest cases. As such it is aimed more at developers and researchers who are interested in using it as a building block than end-users of GPs. You may want to go through the main API design documentation.
Features
- Abstract types and methods for Gaussian Processes
- Finite dimensional projection
- Compute the log marginal probability of y
- Compute the VFE approximation to the log marginal probability
- Evidence Lower BOund (ELBO)
- Construct the approximate posterior process implied by the VFE approximation
Categories
Data VisualizationFollow AbstractGPs.jl
Other Useful Business Software
MongoDB Atlas runs apps anywhere
MongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
Rate This Project
Login To Rate This Project
User Reviews
Be the first to post a review of AbstractGPs.jl!