Index

B

bayes_opt() (surmod.bayesian_optimization.BayesianOptimizer method) BayesianOptimizer (class in surmod.bayesian_optimization)

borehole() (in module surmod.test_functions) Borehole_synth_test_func (class in surmod.test_functions)

C

compute_max_error() (surmod.gpytorch_gaussian_process.GPSurrogate static method)

E

evaluate() (surmod.gpytorch_gaussian_process.GPSurrogate method)

evaluate_objective() (surmod.bayesian_optimization.BayesianOptimizer method)

F

fit() (surmod.gpytorch_gaussian_process.GPSurrogate method)

fit_gpytorch_mll_multistart() (in module surmod.gpytorch_gaussian_process) forward() (surmod.neural_network.NeuralNet method)

G

generate_initial_design() (in module surmod.space_fill_design) get_fitted_kernel_label() (surmod.gpytorch_gaussian_process.GPSurrogate method) get_fitted_parameters() (surmod.gpytorch_gaussian_process.GPSurrogate method)

get_synth_global_optima() (in module surmod.bayesian_optimization) gp_model_fit() (surmod.bayesian_optimization.BayesianOptimizer method) GPSurrogate (class in surmod.gpytorch_gaussian_process)

L

latin_hypercube_design() (in module surmod.space_fill_design) load_and_split() (in module surmod.data_processing) load_data() (in module surmod.data_processing)

load_test_function() (in module surmod.gpytorch_gaussian_process) (in module surmod.neural_network) (in module surmod.test_functions) load_test_settings() (in module surmod.sensitivity_analysis)

M

maximin_sa_lhd() (in module surmod.space_fill_design) mindist_criterion() (in module surmod.space_fill_design) module surmod surmod.bayesian_optimization surmod.data_processing surmod.gpytorch_gaussian_process surmod.neural_network surmod.sensitivity_analysis surmod.space_fill_design surmod.test_functions

N

NeuralNet (class in surmod.neural_network)

O

otlcircuit() (in module surmod.test_functions)

P

parabola() (in module surmod.test_functions) Parabola_synth_test_func (class in surmod.test_functions) phi_p_criterion() (in module surmod.space_fill_design) piston() (in module surmod.test_functions) plot_acquisition_comparison() (in module surmod.bayesian_optimization) plot_gp_mean_prediction() (surmod.gpytorch_gaussian_process.GPSurrogate method) plot_gp_std_dev_prediction() (surmod.gpytorch_gaussian_process.GPSurrogate method) plot_losses() (in module surmod.neural_network)

plot_losses_multiplot() (in module surmod.neural_network) plot_losses_verbose() (in module surmod.neural_network) plot_predictions() (in module surmod.neural_network) plot_test_predictions() (in module surmod.sensitivity_analysis) (surmod.gpytorch_gaussian_process.GPSurrogate method) posterior_gradient() (surmod.gpytorch_gaussian_process.GPSurrogate method) predict() (surmod.gpytorch_gaussian_process.GPSurrogate method) propose_location() (surmod.bayesian_optimization.BayesianOptimizer method)

R

random_design() (in module surmod.space_fill_design)

S

sample_data() (in module surmod.bayesian_optimization) sample_parabola() (in module surmod.bayesian_optimization) sample_posterior() (surmod.gpytorch_gaussian_process.GPSurrogate method) scale_inputs() (in module surmod.test_functions) score_candidates() (surmod.bayesian_optimization.BayesianOptimizer method) select_initial_dataset_indices() (in module surmod.bayesian_optimization) simulate_data() (in module surmod.sensitivity_analysis) (in module surmod.test_functions) sobol_plot() (in module surmod.sensitivity_analysis) split_data() (in module surmod.data_processing) step() (surmod.bayesian_optimization.BayesianOptimizer method) surmod module

surmod.bayesian_optimization module surmod.data_processing module surmod.gpytorch_gaussian_process module surmod.neural_network module surmod.sensitivity_analysis module surmod.space_fill_design module surmod.test_functions module

T

train_neural_net() (in module surmod.neural_network)

W

wingweight() (in module surmod.test_functions)