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.acquisition
    • bayeso.constants
    • bayeso.covariance
  • bayeso.bo
  • bayeso.gp
  • bayeso.tp
  • bayeso.trees
  • bayeso.acquisitions
  • bayeso.utils
  • bayeso.wrappers
BayesO
  • bayeso
  • View page source

bayeso

BayesO is a simple, but essential Bayesian optimization package, implemented in Python.

  • bayeso.acquisition
  • bayeso.constants
  • bayeso.covariance
    • choose_fun_cov()
    • choose_fun_grad_cov()
    • cov_main()
    • cov_matern32()
    • cov_matern52()
    • cov_se()
    • cov_set()
    • get_kernel_cholesky()
    • get_kernel_inverse()
    • grad_cov_main()
    • grad_cov_matern32()
    • grad_cov_matern52()
    • grad_cov_se()
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