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User Guide

  • Getting started
  • Kernels
  • The GP object
  • Solvers
  • Modeling Protocol

Tutorials

  • A gentle introduction to Gaussian Process Regression
  • Model fitting with correlated noise
  • Hyperparameter optimization
  • Scaling Gaussian Processes to big datasets
  • Implementing new kernels
  • Mixtures of GPs
  • Bayesian optimization
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