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.utils.utils_bo
    • bayeso.utils.utils_common
    • bayeso.utils.utils_covariance
    • bayeso.utils.utils_gp
    • bayeso.utils.utils_logger
  • bayeso.wrappers
BayesO
  • bayeso.utils
  • View page source

bayeso.utils

These files are for implementing utilities for various features.

  • bayeso.utils.utils_bo
    • check_hyps_convergence()
    • check_optimizer_method_bo()
    • check_points_in_bounds()
    • choose_fun_acquisition()
    • get_best_acquisition_by_evaluation()
    • get_best_acquisition_by_history()
    • get_next_best_acquisition()
    • normalize_min_max()
  • bayeso.utils.utils_common
    • get_grids()
    • get_minimum()
    • get_time()
    • validate_types()
  • bayeso.utils.utils_covariance
    • _get_list_first()
    • check_str_cov()
    • convert_hyps()
    • get_hyps()
    • get_range_hyps()
    • restore_hyps()
    • validate_hyps_arr()
    • validate_hyps_dict()
  • bayeso.utils.utils_gp
    • get_prior_mu()
    • validate_common_args()
  • bayeso.utils.utils_logger
    • get_logger()
    • get_str_array()
    • get_str_array_1d()
    • get_str_array_2d()
    • get_str_array_3d()
    • get_str_hyps()
Previous Next

© Copyright 2017-2026, Jungtaek Kim and Seungjin Choi.

Built with Sphinx using a theme provided by Read the Docs.