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.acquisitions.probability_of_improvement
    • bayeso.acquisitions.expected_improvement
    • bayeso.acquisitions.gaussian_process_upper_confidence_bound
    • bayeso.acquisitions.augmented_expected_improvement
    • bayeso.acquisitions.pure_exploitation
    • bayeso.acquisitions.pure_exploration
  • bayeso.utils
  • bayeso.wrappers
BayesO
  • bayeso.acquisitions
  • View page source

bayeso.acquisitions

These files are for implementing various wrappers.

  • bayeso.acquisitions.probability_of_improvement
    • acq_fun()
  • bayeso.acquisitions.expected_improvement
    • acq_fun()
  • bayeso.acquisitions.gaussian_process_upper_confidence_bound
    • acq_fun()
  • bayeso.acquisitions.augmented_expected_improvement
    • acq_fun()
  • bayeso.acquisitions.pure_exploitation
    • acq_fun()
  • bayeso.acquisitions.pure_exploration
    • acq_fun()
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