Default values¶

bayes_opt_boptimizer¶

int hp_period = -1 [defined in src/limbo/bayes_opt/boptimizer.hpp] <map object at 0x7fbca9fed710>

bayes_opt_bobase¶

bool stats_enabled = true [defined in src/limbo/bayes_opt/bo_base.hpp] <map object at 0x7fbca9fed908>
bool bounded = true [defined in src/limbo/bayes_opt/bo_base.hpp] <map object at 0x7fbca9fedb70>

mean_constant¶

double constant = 1 [defined in src/limbo/mean/constant.hpp] <map object at 0x7fbca9fedd30>

opt_cmaes¶

int restarts = 1 [defined in src/limbo/opt/cmaes.hpp] <map object at 0x7fbca9fedf60>
int max_fun_evals = -1 [defined in src/limbo/opt/cmaes.hpp] <map object at 0x7fbca9ff21d0>
double fun_tolerance = -1 [defined in src/limbo/opt/cmaes.hpp] <map object at 0x7fbca9ff2400>
double xrel_tolerance = -1 [defined in src/limbo/opt/cmaes.hpp] <map object at 0x7fbca9ff2630>
double fun_target = -1 [defined in src/limbo/opt/cmaes.hpp] <map object at 0x7fbca9ff2860>
bool fun_compute_initial = false [defined in src/limbo/opt/cmaes.hpp] <map object at 0x7fbca9ff2a90>
int variant = aIPOP_CMAES [defined in src/limbo/opt/cmaes.hpp] <map object at 0x7fbca9ff2cc0>
int elitism = 0 [defined in src/limbo/opt/cmaes.hpp] <map object at 0x7fbca9ff2ef0>
bool handle_uncertainty = false [defined in src/limbo/opt/cmaes.hpp] <map object at 0x7fbca9ff4160>
bool verbose = false [defined in src/limbo/opt/cmaes.hpp] <map object at 0x7fbca9ff43c8>
double lbound = 0.0 [defined in src/limbo/opt/cmaes.hpp] <map object at 0x7fbca9ff4630>
double ubound = 1.0 [defined in src/limbo/opt/cmaes.hpp] <map object at 0x7fbca9ff4898>
bool stochastic = false [defined in src/limbo/opt/cmaes.hpp] <map object at 0x7fbca9ff4ac8>
int lambda = -1 [defined in src/limbo/opt/cmaes.hpp] <map object at 0x7fbca9ff4d30>

opt_nloptgrad¶

int iterations = 500 [defined in src/limbo/opt/nlopt_grad.hpp] <map object at 0x7fbca9ff4f60>
double fun_tolerance = -1 [defined in src/limbo/opt/nlopt_grad.hpp] <map object at 0x7fbca9ff61d0>
double xrel_tolerance = -1 [defined in src/limbo/opt/nlopt_grad.hpp] <map object at 0x7fbca9ff6400>

opt_gridsearch¶

int bins = 5 [defined in src/limbo/opt/grid_search.hpp] <map object at 0x7fbca9ff6630>

opt_adam¶

int iterations = 300 [defined in src/limbo/opt/adam.hpp] <map object at 0x7fbca9ff6860>
double alpha = 0.001 [defined in src/limbo/opt/adam.hpp] <map object at 0x7fbca9ff6ac8>
double b1 = 0.9 [defined in src/limbo/opt/adam.hpp] <map object at 0x7fbca9ff6d30>
double b2 = 0.999 [defined in src/limbo/opt/adam.hpp] <map object at 0x7fbca9ff6f98>
double eps_stop = 0.0 [defined in src/limbo/opt/adam.hpp] <map object at 0x7fbca9ff8208>

opt_gradient_ascent¶

int iterations = 300 [defined in src/limbo/opt/gradient_ascent.hpp] <map object at 0x7fbca9ff8438>
double alpha = 0.001 [defined in src/limbo/opt/gradient_ascent.hpp] <map object at 0x7fbca9ff86a0>
double gamma = 0.0 [defined in src/limbo/opt/gradient_ascent.hpp] <map object at 0x7fbca9ff8908>
bool nesterov = false [defined in src/limbo/opt/gradient_ascent.hpp] <map object at 0x7fbca9ff8b38>
double eps_stop = 0.0 [defined in src/limbo/opt/gradient_ascent.hpp] <map object at 0x7fbca9ff8d68>

opt_rprop¶

int iterations = 300 [defined in src/limbo/opt/rprop.hpp] <map object at 0x7fbca9ff8f98>
double eps_stop = 0.0 [defined in src/limbo/opt/rprop.hpp] <map object at 0x7fbca9ffb208>

opt_nloptnograd¶

int iterations = 500 [defined in src/limbo/opt/nlopt_no_grad.hpp] <map object at 0x7fbca9ffb438>
double fun_tolerance = -1 [defined in src/limbo/opt/nlopt_no_grad.hpp] <map object at 0x7fbca9ffb668>
double xrel_tolerance = -1 [defined in src/limbo/opt/nlopt_no_grad.hpp] <map object at 0x7fbca9ffb898>

opt_parallelrepeater¶

int repeats = 10 [defined in src/limbo/opt/parallel_repeater.hpp] <map object at 0x7fbca9ffbb00>
double epsilon = 1e-2 [defined in src/limbo/opt/parallel_repeater.hpp] <map object at 0x7fbca9ffbd68>

model_sparse_gp¶

int max_points = 200 [defined in src/limbo/model/sparsified_gp.hpp] <map object at 0x7fbca9ffbf98>

acqui_ei¶

double jitter = 0.0 [defined in src/limbo/acqui/ei.hpp] <map object at 0x7fbca9ffe240>

acqui_ucb¶

double alpha = 0.5 [defined in src/limbo/acqui/ucb.hpp] <map object at 0x7fbca9ffe4a8>

acqui_gpucb¶

double delta = 0.1 [defined in src/limbo/acqui/gp_ucb.hpp] <map object at 0x7fbca9ffe710>

kernel_squared_exp_ard¶

double sigma_sq = 1 [defined in src/limbo/kernel/squared_exp_ard.hpp] <map object at 0x7fbca9ffe908>

kernel_maternfivehalves¶

double sigma_sq = 1 [defined in src/limbo/kernel/matern_five_halves.hpp] <map object at 0x7fbca9ffeb00>
double l = 1 [defined in src/limbo/kernel/matern_five_halves.hpp] <map object at 0x7fbca9ffecf8>

kernel_maternthreehalves¶

double sigma_sq = 1 [defined in src/limbo/kernel/matern_three_halves.hpp] <map object at 0x7fbca9ffeef0>
double l = 1 [defined in src/limbo/kernel/matern_three_halves.hpp] <map object at 0x7fbca9fff128>

kernel¶

double noise = 0.01 [defined in src/limbo/kernel/kernel.hpp] <map object at 0x7fbca9fff3c8>
bool optimize_noise = false [defined in src/limbo/kernel/kernel.hpp] <map object at 0x7fbca9fff630>

kernel_exp¶

double sigma_sq = 1 [defined in src/limbo/kernel/exp.hpp] <map object at 0x7fbca9fff828>
double l = 1 [defined in src/limbo/kernel/exp.hpp] <map object at 0x7fbca9fffa20>

stop_maxiterations¶

int iterations = 190 [defined in src/limbo/stop/max_iterations.hpp] <map object at 0x7fbca9fffc50>

stop_maxpredictedvalue¶

double ratio = 0.9 [defined in src/limbo/stop/max_predicted_value.hpp] <map object at 0x7fbca9fffeb8>

init_randomsampling¶

int samples = 10 [defined in src/limbo/init/random_sampling.hpp] <map object at 0x7fbcaa001160>

init_gridsampling¶

int bins = 5 [defined in src/limbo/init/grid_sampling.hpp] <map object at 0x7fbcaa001390>

init_lhs¶

int samples = 10 [defined in src/limbo/init/lhs.hpp] <map object at 0x7fbcaa0015f8>

init_randomsamplinggrid¶

int samples = 10 [defined in src/limbo/init/random_sampling_grid.hpp] <map object at 0x7fbcaa001860>
int bins = 5 [defined in src/limbo/init/random_sampling_grid.hpp] <map object at 0x7fbcaa001a90>

bayes_opt_cboptimizer¶

int hp_period = -1 [defined in src/limbo/experimental/bayes_opt/cboptimizer.hpp] <map object at 0x7fbcaa001cc0>
bool bounded = true [defined in src/limbo/experimental/bayes_opt/cboptimizer.hpp] <map object at 0x7fbcaa001f28>

bayes_opt_ehvi¶

double x_ref = -11 [defined in src/limbo/experimental/bayes_opt/ehvi.hpp] <map object at 0x7fbcaa0061d0>
double y_ref = -11 [defined in src/limbo/experimental/bayes_opt/ehvi.hpp] <map object at 0x7fbcaa006438>

bayes_opt_imgpo¶

bool hp_opt = false [defined in src/limbo/experimental/bayes_opt/imgpo.hpp] <map object at 0x7fbcaa0066d8>

model_gp_parego¶

double rho = 0.05 [defined in src/limbo/experimental/model/gp_parego.hpp] <map object at 0x7fbcaa006908>

model_spgp¶

double jitter = 0.000001 [defined in src/limbo/experimental/model/spgp.hpp] <map object at 0x7fbcaa006b38>
double samples_percent = 10 [defined in src/limbo/experimental/model/spgp.hpp] <map object at 0x7fbcaa006d68>
int min_m = 1 [defined in src/limbo/experimental/model/spgp.hpp] <map object at 0x7fbcaa006f98>
double sig = 0.01 [defined in src/limbo/experimental/model/spgp.hpp] <map object at 0x7fbcaa008240>
double pred_kernel_sigma_sq = 0.5 [defined in src/limbo/experimental/model/spgp.hpp] <map object at 0x7fbcaa008470>
double pred_kernel_l = 0.5 [defined in src/limbo/experimental/model/spgp.hpp] <map object at 0x7fbcaa0086a0>

acqui_ucb_imgpo¶

double nu = 0.05 [defined in src/limbo/experimental/acqui/ucb_imgpo.hpp] <map object at 0x7fbcaa008908>

acqui_eci¶

double jitter = 0.0 [defined in src/limbo/experimental/acqui/eci.hpp] <map object at 0x7fbcaa008b70>