BayesO
v0.4.3
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.gp
bayeso.utils
bayeso.wrappers
BayesO
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Index
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_get_bounds() (bayeso.bo.BO method)
_get_list_first() (in module bayeso.utils.utils_covariance)
_get_samples_grid() (bayeso.bo.BO method)
_get_samples_latin() (bayeso.bo.BO method)
_get_samples_sobol() (bayeso.bo.BO method)
_get_samples_uniform() (bayeso.bo.BO method)
_optimize() (bayeso.bo.BO method)
_optimize_objective() (bayeso.bo.BO method)
_save_figure() (in module bayeso.utils.utils_plotting)
_set_ax_config() (in module bayeso.utils.utils_plotting)
_set_font_config() (in module bayeso.utils.utils_plotting)
_show_figure() (in module bayeso.utils.utils_plotting)
A
aei() (in module bayeso.acquisition)
B
bayeso (module)
bayeso.acquisition (module)
bayeso.bo (module)
bayeso.constants (module)
bayeso.covariance (module)
bayeso.gp (module)
bayeso.gp.gp (module)
bayeso.gp.gp_common (module)
bayeso.gp.gp_gpytorch (module)
bayeso.gp.gp_scipy (module)
bayeso.gp.gp_tensorflow (module)
bayeso.utils (module)
bayeso.utils.utils_bo (module)
bayeso.utils.utils_common (module)
bayeso.utils.utils_covariance (module)
bayeso.utils.utils_gp (module)
bayeso.utils.utils_logger (module)
bayeso.utils.utils_plotting (module)
bayeso.wrappers (module)
bayeso.wrappers.wrappers_bo (module)
BO (class in bayeso.bo)
C
check_hyps_convergence() (in module bayeso.utils.utils_bo)
check_optimizer_method_bo() (in module bayeso.utils.utils_bo)
check_str_cov() (in module bayeso.utils.utils_gp)
choose_fun_acquisition() (in module bayeso.utils.utils_bo)
choose_fun_cov() (in module bayeso.covariance)
convert_hyps() (in module bayeso.utils.utils_covariance)
cov_main() (in module bayeso.covariance)
cov_matern32() (in module bayeso.covariance)
cov_matern52() (in module bayeso.covariance)
cov_se() (in module bayeso.covariance)
cov_set() (in module bayeso.covariance)
E
ei() (in module bayeso.acquisition)
ExactGPModel (class in bayeso.gp.gp_gpytorch)
F
forward() (bayeso.gp.gp_gpytorch.ExactGPModel method)
G
get_best_acquisition_by_evaluation() (in module bayeso.utils.utils_bo)
get_best_acquisition_by_history() (in module bayeso.utils.utils_bo)
get_grids() (in module bayeso.utils.utils_common)
get_hyps() (in module bayeso.utils.utils_covariance)
get_initials() (bayeso.bo.BO method)
get_kernel_cholesky() (in module bayeso.gp.gp_common)
get_kernel_inverse() (in module bayeso.gp.gp_common)
get_logger() (in module bayeso.utils.utils_logger)
get_minimum() (in module bayeso.utils.utils_common)
get_next_best_acquisition() (in module bayeso.utils.utils_bo)
get_optimized_kernel() (in module bayeso.gp.gp)
(in module bayeso.gp.gp_gpytorch)
(in module bayeso.gp.gp_scipy)
(in module bayeso.gp.gp_tensorflow)
get_prior_mu() (in module bayeso.utils.utils_gp)
get_range_hyps() (in module bayeso.utils.utils_covariance)
get_samples() (bayeso.bo.BO method)
get_str_array() (in module bayeso.utils.utils_logger)
get_str_array_1d() (in module bayeso.utils.utils_logger)
get_str_array_2d() (in module bayeso.utils.utils_logger)
get_str_array_3d() (in module bayeso.utils.utils_logger)
get_str_hyps() (in module bayeso.utils.utils_logger)
get_time() (in module bayeso.utils.utils_common)
grad_cov_main() (in module bayeso.covariance)
grad_cov_matern32() (in module bayeso.covariance)
grad_cov_matern52() (in module bayeso.covariance)
grad_cov_se() (in module bayeso.covariance)
N
neg_log_ml() (in module bayeso.gp.gp_scipy)
neg_log_pseudo_l_loocv() (in module bayeso.gp.gp_scipy)
O
optimize() (bayeso.bo.BO method)
P
pi() (in module bayeso.acquisition)
plot_bo_step() (in module bayeso.utils.utils_plotting)
plot_bo_step_with_acq() (in module bayeso.utils.utils_plotting)
plot_gp_via_distribution() (in module bayeso.utils.utils_plotting)
plot_gp_via_sample() (in module bayeso.utils.utils_plotting)
plot_minimum_vs_iter() (in module bayeso.utils.utils_plotting)
plot_minimum_vs_time() (in module bayeso.utils.utils_plotting)
predict_with_cov() (in module bayeso.gp.gp)
predict_with_hyps() (in module bayeso.gp.gp)
predict_with_optimized_hyps() (in module bayeso.gp.gp)
pure_exploit() (in module bayeso.acquisition)
pure_explore() (in module bayeso.acquisition)
R
restore_hyps() (in module bayeso.utils.utils_covariance)
run_single_round() (in module bayeso.wrappers.wrappers_bo)
run_single_round_with_all_initial_information() (in module bayeso.wrappers.wrappers_bo)
run_single_round_with_initial_inputs() (in module bayeso.wrappers.wrappers_bo)
S
sample_functions() (in module bayeso.gp.gp)
U
ucb() (in module bayeso.acquisition)
V
validate_hyps_arr() (in module bayeso.utils.utils_covariance)
validate_hyps_dict() (in module bayeso.utils.utils_covariance)
validate_types() (in module bayeso.utils.utils_common)
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