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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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