BayesO
  • About BayesO
  • About Bayesian Optimization

Getting Started:

  • Installing BayesO

Example:

  • Building Gaussian Process Regression
  • Optimizing Sampled Function via Thompson Sampling
  • Optimizing Branin Function
  • Constructing xgboost Classifier with Hyperparameter Optimization

Python API:

  • bayeso
  • bayeso.bo
  • bayeso.gp
  • bayeso.tp
  • bayeso.trees
  • bayeso.acquisitions
  • bayeso.utils
  • bayeso.wrappers
    • bayeso.wrappers.wrappers_bo_class
    • bayeso.wrappers.wrappers_bo_function
BayesO
  • bayeso.wrappers
  • View page source

bayeso.wrappers

These files are for implementing various wrappers.

  • bayeso.wrappers.wrappers_bo_class
    • BayesianOptimization
      • BayesianOptimization._get_model_bo_gp()
      • BayesianOptimization._get_model_bo_tp()
      • BayesianOptimization._get_model_bo_trees()
      • BayesianOptimization._get_next_best_sample()
      • BayesianOptimization.optimize()
      • BayesianOptimization.optimize_single_iteration()
      • BayesianOptimization.optimize_with_all_initial_information()
      • BayesianOptimization.optimize_with_initial_inputs()
      • BayesianOptimization.print_info()
  • bayeso.wrappers.wrappers_bo_function
    • run_single_round()
    • run_single_round_with_all_initial_information()
    • run_single_round_with_initial_inputs()
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