Index

B

bayes_opt() (surmod.bayesian_optimization.BayesianOptimizer method)

BayesianOptimizer (class in surmod.bayesian_optimization)

E

evaluate_objective() (surmod.bayesian_optimization.BayesianOptimizer method)

F

forward() (surmod.neural_network.NeuralNet method)

G

get_synth_global_optima() (in module surmod.bayesian_optimization)

gp_model_fit() (surmod.bayesian_optimization.BayesianOptimizer method)

L

load_test_function() (in module surmod.neural_network)

load_test_settings() (in module surmod.sensitivity_analysis)

M

module surmod surmod.bayesian_optimization surmod.neural_network surmod.sensitivity_analysis

N

NeuralNet (class in surmod.neural_network)

P

plot_acquisition_comparison() (in module surmod.bayesian_optimization) 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) propose_location() (surmod.bayesian_optimization.BayesianOptimizer method)

S

sample_data() (in module surmod.bayesian_optimization) sample_parabola() (in module surmod.bayesian_optimization) score_candidates() (surmod.bayesian_optimization.BayesianOptimizer method) select_initial_dataset_indices() (in module surmod.bayesian_optimization) simulate_data() (in module surmod.sensitivity_analysis) sobol_plot() (in module surmod.sensitivity_analysis) step() (surmod.bayesian_optimization.BayesianOptimizer method)

surmod module surmod.bayesian_optimization module surmod.neural_network module surmod.sensitivity_analysis module

T

train_neural_net() (in module surmod.neural_network)