GPflowOpt
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Contents:
Introduction
Tutorials and examples
API and architecture
GPflowOpt
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GPflowOpt Documentation
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GPflowOpt Documentation
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Contents:
Introduction
Install
Getting started
Citing GPflowOpt
Acknowledgements
Tutorials and examples
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
API and architecture
The structure of GPflowOpt
Optimization
Bayesian Optimization
The GPflow tree
Bayesian Optimizer
Acquisition functions
Single-objective
Multi-objective
Initial Designs
Latin Hypercube design
Factorial design
Random design
Data Transformations
Transforms
Normalizer
Interfaces
Domain
Optimizer
Acquisition
Design
Transform
ModelWrapper
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