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.bo.base_bo
    • bayeso.bo.bo_w_gp
    • bayeso.bo.bo_w_tp
    • bayeso.bo.bo_w_trees
  • bayeso.gp
  • bayeso.tp
  • bayeso.trees
  • bayeso.acquisitions
  • bayeso.utils
  • bayeso.wrappers
BayesO
  • bayeso.bo
  • View page source

bayeso.bo

These files are for implementing Bayesian optimization classes.

  1. Garnett, R. (2023). Bayesian Optimization. Cambridge University Press.

  • bayeso.bo.base_bo
    • BaseBO
      • BaseBO._abc_impl
      • BaseBO._get_bounds()
      • BaseBO._get_random_state()
      • BaseBO._get_samples_gaussian()
      • BaseBO._get_samples_grid()
      • BaseBO._get_samples_halton()
      • BaseBO._get_samples_sobol()
      • BaseBO._get_samples_uniform()
      • BaseBO.compute_acquisitions()
      • BaseBO.compute_posteriors()
      • BaseBO.get_initials()
      • BaseBO.get_samples()
      • BaseBO.optimize()
  • bayeso.bo.bo_w_gp
    • BOwGP
      • BOwGP._abc_impl
      • BOwGP._optimize()
      • BOwGP.compute_acquisitions()
      • BOwGP.compute_posteriors()
      • BOwGP.optimize()
  • bayeso.bo.bo_w_tp
    • BOwTP
      • BOwTP._abc_impl
      • BOwTP._optimize()
      • BOwTP.compute_acquisitions()
      • BOwTP.compute_posteriors()
      • BOwTP.optimize()
  • bayeso.bo.bo_w_trees
    • BOwTrees
      • BOwTrees._abc_impl
      • BOwTrees.compute_acquisitions()
      • BOwTrees.compute_posteriors()
      • BOwTrees.get_trees()
      • BOwTrees.optimize()
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