GPflowOpt Documentation

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