About qPOTS
User guides
Worked examples
API reference
Acquisition
Acquisition.__init__()
Acquisition._gp_posterior()
Acquisition._make_qpots_posterior_path()
Acquisition._mt_gp_posterior()
Acquisition._nystrom_approx()
Acquisition._optimize_qpots_posterior()
Acquisition._select_qpots_batch()
Acquisition.jesmo()
Acquisition.mesmo()
Acquisition.parego()
Acquisition.pesmo()
Acquisition.qlogei()
Acquisition.qlogparego()
Acquisition.qpots()
Acquisition.sobol()
Acquisition.tsemo()
RuntimeConfig
RuntimeConfig.device
RuntimeConfig.dtype
as_tensor()
get_default_runtime()
get_device()
get_dtype()
resolve_runtime()
set_default_runtime()
tensor_kwargs()
to_runtime()
Function
Function.__init__()
Function._call_combined()
Function._coerce_constraint_output()
Function._coerce_input()
Function._coerce_output()
Function._evaluate()
Function._evaluate_builtin_constraints()
Function._initialize_function()
Function._validate_bounds()
Function.evaluate()
Function.evaluate_all()
Function.get_bounds()
Function.get_cons()
EvaluationResult
ModelObject
ModelObject.__init__()
ModelObject.fit_gp()
ModelObject.fit_gp_no_variance()
ModelObject.fit_multitask_gp()
ModelObject.standardize_ignore_nan()
IterationResult
IterationResult.candidate_x
IterationResult.candidate_x_normalized
IterationResult.evaluations
IterationResult.iteration
IterationResult.observed_values
IterationResult.task_ids
OptimizationResult
OptimizationResult.iterations
OptimizationResult.model
OptimizationResult.train_x
OptimizationResult.train_x_normalized
OptimizationResult.train_y
QPOTSConfig
QPOTSConfig.acquisition_options()
QPOTSConfig.batch_size
QPOTSConfig.correlation_threshold
QPOTSConfig.generations
QPOTSConfig.iterations
QPOTSConfig.multitask
QPOTSConfig.n_constraints
QPOTSConfig.n_initial
QPOTSConfig.nystrom
QPOTSConfig.nystrom_choice
QPOTSConfig.partial_evaluations
QPOTSConfig.refit_final_model
QPOTSConfig.seed
QPOTSRunner
QPOTSRunner.initialize()
QPOTSRunner.run()
QPOTSRunner.step()
TSEMORunner
TSEMORunner._validate_tsemo_path()
TSEMORunner.tsemo_hypervolume()
TSEMORunner.tsemo_run()
_MissingEngineError
_missing_start_matlab()
_CompetitiveDecouplingMixin
_CompetitiveDecouplingMixin.X_evaluation_mask
_CompetitiveDecouplingMixin._selected_output_indices()
_CompetitiveDecouplingMixin._selected_output_mask()
_CompetitiveDecouplingMixin._set_X_evaluation_mask()
_validate_mask()
build_pareto_state()
choose_competitive_decoupled_candidate()
generate_sobol_data()
get_current_value()
hypervolume_from_posterior_mean_gp()
initialize_model()
optimize_HVKG_and_get_obs_decoupled()
optimize_qnehvi_and_get_observation()
qDecoupledPESMO
qDecoupledPESMO._abc_impl
qDecoupledPESMO._compute_information_gain()
qDecoupledPESMO._masked_logdet()
qDecoupledPESMO.forward()
PyMooFunction
PyMooFunction._evaluate()
nsga2()
_stable_logdet()
_unravel_index()
argmax_mi_subset_bruteforce()
cholesky_with_jitter()
computeTC()
corr_and_total_correlation()
fit_mtgp()
get_model_identified_hv_maximizing_set()
mutual_information_split_gaussian()
qmaximin()
unstandardize_ignore_nan()
update_mtgp_with_new_data()
wide_to_long_mt()
_augment_X_with_tasks()
arg_parser()
compute_true_hypervolume()
expected_hypervolume()
gen_filtered_cands()
hypervolume_from_posterior_mean_mtgp()
minmax_scale()
mtgp_posterior_mean_hypervolume()
posterior_mean_fill()
select_candidates()
select_candidates_partial_info()
select_candidates_total_correlation()
unstandardize()