Default values =============== bayes_opt_boptimizer ^^^^^^^^^^^^^^^^^^^^ - int hp_period = -1 [defined in src/limbo/bayes_opt/boptimizer.hpp] bayes_opt_bobase ^^^^^^^^^^^^^^^^ - bool stats_enabled = true [defined in src/limbo/bayes_opt/bo_base.hpp] - bool bounded = true [defined in src/limbo/bayes_opt/bo_base.hpp] mean_constant ^^^^^^^^^^^^^ - double constant = 1 [defined in src/limbo/mean/constant.hpp] opt_cmaes ^^^^^^^^^ - int restarts = 1 [defined in src/limbo/opt/cmaes.hpp] - int max_fun_evals = -1 [defined in src/limbo/opt/cmaes.hpp] - double fun_tolerance = -1 [defined in src/limbo/opt/cmaes.hpp] - double xrel_tolerance = -1 [defined in src/limbo/opt/cmaes.hpp] - double fun_target = -1 [defined in src/limbo/opt/cmaes.hpp] - bool fun_compute_initial = false [defined in src/limbo/opt/cmaes.hpp] - int variant = aIPOP_CMAES [defined in src/limbo/opt/cmaes.hpp] - int elitism = 0 [defined in src/limbo/opt/cmaes.hpp] - bool handle_uncertainty = false [defined in src/limbo/opt/cmaes.hpp] - bool verbose = false [defined in src/limbo/opt/cmaes.hpp] - double lbound = 0.0 [defined in src/limbo/opt/cmaes.hpp] - double ubound = 1.0 [defined in src/limbo/opt/cmaes.hpp] - bool stochastic = false [defined in src/limbo/opt/cmaes.hpp] - int lambda = -1 [defined in src/limbo/opt/cmaes.hpp] opt_nloptgrad ^^^^^^^^^^^^^ - int iterations = 500 [defined in src/limbo/opt/nlopt_grad.hpp] - double fun_tolerance = -1 [defined in src/limbo/opt/nlopt_grad.hpp] - double xrel_tolerance = -1 [defined in src/limbo/opt/nlopt_grad.hpp] opt_gridsearch ^^^^^^^^^^^^^^ - int bins = 5 [defined in src/limbo/opt/grid_search.hpp] opt_adam ^^^^^^^^ - int iterations = 300 [defined in src/limbo/opt/adam.hpp] - double alpha = 0.001 [defined in src/limbo/opt/adam.hpp] - double b1 = 0.9 [defined in src/limbo/opt/adam.hpp] - double b2 = 0.999 [defined in src/limbo/opt/adam.hpp] - double eps_stop = 0.0 [defined in src/limbo/opt/adam.hpp] opt_gradient_ascent ^^^^^^^^^^^^^^^^^^^ - int iterations = 300 [defined in src/limbo/opt/gradient_ascent.hpp] - double alpha = 0.001 [defined in src/limbo/opt/gradient_ascent.hpp] - double gamma = 0.0 [defined in src/limbo/opt/gradient_ascent.hpp] - bool nesterov = false [defined in src/limbo/opt/gradient_ascent.hpp] - double eps_stop = 0.0 [defined in src/limbo/opt/gradient_ascent.hpp] opt_rprop ^^^^^^^^^ - int iterations = 300 [defined in src/limbo/opt/rprop.hpp] - double eps_stop = 0.0 [defined in src/limbo/opt/rprop.hpp] opt_nloptnograd ^^^^^^^^^^^^^^^ - int iterations = 500 [defined in src/limbo/opt/nlopt_no_grad.hpp] - double fun_tolerance = -1 [defined in src/limbo/opt/nlopt_no_grad.hpp] - double xrel_tolerance = -1 [defined in src/limbo/opt/nlopt_no_grad.hpp] opt_parallelrepeater ^^^^^^^^^^^^^^^^^^^^ - int repeats = 10 [defined in src/limbo/opt/parallel_repeater.hpp] - double epsilon = 1e-2 [defined in src/limbo/opt/parallel_repeater.hpp] model_sparse_gp ^^^^^^^^^^^^^^^ - int max_points = 200 [defined in src/limbo/model/sparsified_gp.hpp] acqui_ei ^^^^^^^^ - double jitter = 0.0 [defined in src/limbo/acqui/ei.hpp] acqui_ucb ^^^^^^^^^ - double alpha = 0.5 [defined in src/limbo/acqui/ucb.hpp] acqui_gpucb ^^^^^^^^^^^ - double delta = 0.1 [defined in src/limbo/acqui/gp_ucb.hpp] kernel_squared_exp_ard ^^^^^^^^^^^^^^^^^^^^^^ - double sigma_sq = 1 [defined in src/limbo/kernel/squared_exp_ard.hpp] kernel_maternfivehalves ^^^^^^^^^^^^^^^^^^^^^^^ - double sigma_sq = 1 [defined in src/limbo/kernel/matern_five_halves.hpp] - double l = 1 [defined in src/limbo/kernel/matern_five_halves.hpp] kernel_maternthreehalves ^^^^^^^^^^^^^^^^^^^^^^^^ - double sigma_sq = 1 [defined in src/limbo/kernel/matern_three_halves.hpp] - double l = 1 [defined in src/limbo/kernel/matern_three_halves.hpp] kernel ^^^^^^ - double noise = 0.01 [defined in src/limbo/kernel/kernel.hpp] - bool optimize_noise = false [defined in src/limbo/kernel/kernel.hpp] kernel_exp ^^^^^^^^^^ - double sigma_sq = 1 [defined in src/limbo/kernel/exp.hpp] - double l = 1 [defined in src/limbo/kernel/exp.hpp] stop_maxiterations ^^^^^^^^^^^^^^^^^^ - int iterations = 190 [defined in src/limbo/stop/max_iterations.hpp] stop_maxpredictedvalue ^^^^^^^^^^^^^^^^^^^^^^ - double ratio = 0.9 [defined in src/limbo/stop/max_predicted_value.hpp] init_randomsampling ^^^^^^^^^^^^^^^^^^^ - int samples = 10 [defined in src/limbo/init/random_sampling.hpp] init_gridsampling ^^^^^^^^^^^^^^^^^ - int bins = 5 [defined in src/limbo/init/grid_sampling.hpp] init_lhs ^^^^^^^^ - int samples = 10 [defined in src/limbo/init/lhs.hpp] init_randomsamplinggrid ^^^^^^^^^^^^^^^^^^^^^^^ - int samples = 10 [defined in src/limbo/init/random_sampling_grid.hpp] - int bins = 5 [defined in src/limbo/init/random_sampling_grid.hpp] bayes_opt_cboptimizer ^^^^^^^^^^^^^^^^^^^^^ - int hp_period = -1 [defined in src/limbo/experimental/bayes_opt/cboptimizer.hpp] - bool bounded = true [defined in src/limbo/experimental/bayes_opt/cboptimizer.hpp] bayes_opt_ehvi ^^^^^^^^^^^^^^ - double x_ref = -11 [defined in src/limbo/experimental/bayes_opt/ehvi.hpp] - double y_ref = -11 [defined in src/limbo/experimental/bayes_opt/ehvi.hpp] bayes_opt_imgpo ^^^^^^^^^^^^^^^ - bool hp_opt = false [defined in src/limbo/experimental/bayes_opt/imgpo.hpp] model_gp_parego ^^^^^^^^^^^^^^^ - double rho = 0.05 [defined in src/limbo/experimental/model/gp_parego.hpp] model_spgp ^^^^^^^^^^ - double jitter = 0.000001 [defined in src/limbo/experimental/model/spgp.hpp] - double samples_percent = 10 [defined in src/limbo/experimental/model/spgp.hpp] - int min_m = 1 [defined in src/limbo/experimental/model/spgp.hpp] - double sig = 0.01 [defined in src/limbo/experimental/model/spgp.hpp] - double pred_kernel_sigma_sq = 0.5 [defined in src/limbo/experimental/model/spgp.hpp] - double pred_kernel_l = 0.5 [defined in src/limbo/experimental/model/spgp.hpp] acqui_ucb_imgpo ^^^^^^^^^^^^^^^ - double nu = 0.05 [defined in src/limbo/experimental/acqui/ucb_imgpo.hpp] acqui_eci ^^^^^^^^^ - double jitter = 0.0 [defined in src/limbo/experimental/acqui/eci.hpp]