GPflowOpt
stable
Contents:
Introduction
Tutorials and examples
First steps into Bayesian optimization
Bayesian Optimization with black-box constraints
Defining new acquisition functions
Bayesian Optimization of Hyperparameters
Bayesian Multiobjective Optimization
API and architecture
GPflowOpt
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Tutorials and examples
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Tutorials and examples
ΒΆ
First steps into Bayesian optimization
Introduction
Objective function
Bayesian optimizer
Bayesian Optimization with black-box constraints
Introduction
Constrained problem
Modeling and joint acquisition function
Initial belief
Running Bayesian Optimizer
Results
Defining new acquisition functions
Introduction
Augmented expected improvement
Results
Bayesian Optimization of Hyperparameters
Introduction
Data set
Modeling
Hyperparameter optimization
Bayesian Multiobjective Optimization
Introduction
Multiobjective acquisition function
Running the Bayesian optimizer
Plotting the results
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