Index

_

__add__() (Dataset method) __call__() (_DummyTrajectoryFunctionClass method) (AcquisitionFunctionClass method), [1] (augmented_expected_improvement method), [1], [2] (batch_expected_improvement method), [1], [2] (batch_monte_carlo_expected_improvement method) (bayesian_active_learning_by_disagreement method), [1], [2] (deep_ensemble_trajectory method), [1] (DeepGaussianProcessDecoupledLayer method), [1] (dgp_feature_decomposition_trajectory method), [1] (expected_hv_improvement method), [1], [2] (expected_improvement method), [1], [2] (feature_decomposition_trajectory method), [1] (GenParetoOptimalPoints method) (gibbon_quality_term method), [1], [2] (gibbon_repulsion_term method), [1], [2] (hard_local_penalizer method), [1], [2] (integrated_variance_reduction method), [1], [2] (min_value_entropy_search method), [1], [2] (ModelBasedImprovementQualityFunction method) (monte_carlo_augmented_expected_improvement method) (monte_carlo_expected_improvement method) (multiple_optimism_lower_confidence_bound method), [1], [2] (MultivariateNormalCDF method), [1] (mumbo method) (probability_below_threshold method), [1], [2] (QualityFunction method) (ResampleableDecoupledDeepGaussianProcessFeatureFunctions method), [1] (ResampleableDecoupledFeatureFunctions method) (soft_local_penalizer method), [1], [2] (TrajectoryFunctionClass method), [1] (UnitQualityFunction method) (UpdatablePenalizationFunction method), [1] __contains__() (SearchSpace method) __eq__() (Box method) (DiscreteSearchSpace method) (LinearConstraint method) (NonlinearConstraint method) (SearchSpace method) (TaggedProductSearchSpace method) __len__() (Dataset method) __mul__() (SearchSpace method) __post_init__() (Dataset method) __pow__() (SearchSpace method) __repr__() (AskTellOptimizer method) _BoundIndexPartition (class in trieste.acquisition.multi_objective.partition) _broadcast_predict() (in module trieste.acquisition.function.greedy_batch)

_build_ensemble() (KerasEnsemble method), [1] _calculate_residual() (MultifidelityAutoregressive method), [1] _compute_batch_expected_improvement() (batch_expected_improvement method), [1], [2] _compute_bm() (batch_expected_improvement method), [1], [2] _compute_c() (batch_expected_improvement method), [1], [2] _compute_kernel_blocks() (in module trieste.models.gpflow.utils) _compute_p() (batch_expected_improvement method), [1], [2] _compute_Phi() (batch_expected_improvement method), [1], [2] _compute_R() (batch_expected_improvement method), [1], [2] _compute_Sigma() (batch_expected_improvement method), [1], [2] _contains() (Box method) (DiscreteSearchSpace method) (SearchSpace method) (TaggedProductSearchSpace method) _covariance_between_points_for_variational_models() (in module trieste.models.gpflow.utils) _delta() (batch_expected_improvement method), [1], [2] _DummyTrajectoryFunctionClass (class in trieste.acquisition.function.continuous_thompson_sampling) _fantasized_model (class in trieste.acquisition.function.greedy_batch) _find_non_dominated_points() (BatchHypervolumeSharpeRatioIndicator method) _generate_fantasized_data() (in module trieste.acquisition.function.greedy_batch) _get_leading_dim_and_flatten() (in module trieste.acquisition.function.greedy_batch) _get_update_indices() (MultivariateNormalCDF method), [1] _MeanStdTradeoff (class in trieste.acquisition.rule) _perform_parallel_continuous_optimization() (in module trieste.acquisition.optimizer) _prepare_theta_posterior_in_design_space() (RandomFourierFeatureTrajectorySampler method), [1] _prepare_theta_posterior_in_gram_space() (RandomFourierFeatureTrajectorySampler method), [1] _prepare_weight_sampler() (DecoupledTrajectorySampler method), [1] (DeepGaussianProcessDecoupledLayer method), [1] (FeatureDecompositionTrajectorySampler method) (RandomFourierFeatureTrajectorySampler method), [1] _propagate_samples_through_level() (MultifidelityNonlinearAutoregressive method), [1] _recalculate_inducing_points() (DPPInducingPointSelector method) (InducingPointSelector method), [1] (KMeansInducingPointSelector method), [1] (RandomSubSampleInducingPointSelector method), [1] (UniformInducingPointSelector method), [1] _reduce() (Product method), [1] (Reducer method), [1] (Sum method), [1] _restore_leading_dim() (in module trieste.acquisition.function.greedy_batch) _sample_feasible_loop() (Box method) _sample_mean_and_var_at_fidelities() (MultifidelityNonlinearAutoregressive method), [1] _standard_normal_cdf_and_inverse_cdf() (MultivariateNormalCDF method), [1] _update_expected_improvement_fn() (ExpectedConstrainedHypervolumeImprovement method), [1], [2] (ExpectedConstrainedImprovement method), [1], [2] _update_inducing_variables() (SparseGaussianProcessRegression method), [1] (SparseVariational method), [1] _whiten_points() (in module trieste.models.gpflow.utils)

A

Ackley5 (in module trieste.objectives) (in module trieste.objectives.single_objectives) ackley_5() (in module trieste.objectives.single_objectives) acquire() (AcquisitionRule method) (AsynchronousGreedy method) (AsynchronousOptimization method) (BatchHypervolumeSharpeRatioIndicator method) (DiscreteThompsonSampling method) (EfficientGlobalOptimization method) (RandomSampling method) (TrustRegion method) acquire_single() (AcquisitionRule method) acquisition_function() (EfficientGlobalOptimization property) acquisition_space (TrustRegion.State attribute) acquisition_state (Record attribute) acquisition_state() (AskTellOptimizer property) (FrozenRecord property) AcquisitionFunction (in module trieste.acquisition) (in module trieste.acquisition.interface) AcquisitionFunctionBuilder (class in trieste.acquisition) (class in trieste.acquisition.interface) AcquisitionFunctionClass (class in trieste.acquisition) (class in trieste.acquisition.interface)

AcquisitionOptimizer (in module trieste.acquisition.optimizer) AcquisitionRule (class in trieste.acquisition.rule) acquisitions() (Reducer property), [1] add_bo_points_plotly() (in module trieste.experimental.plotting.plotting_plotly) add_fidelity_column() (in module trieste.data) add_pending_points() (AsynchronousRuleState method) add_surface_plotly() (in module trieste.experimental.plotting.plotting_plotly) ask() (AskTellOptimizer method) AskTellOptimizer (class in trieste.ask_tell_optimization) assert_data_is_compatible() (in module trieste.models.gpflow) (in module trieste.models.gpflow.utils) astuple() (Dataset method) (OptimizationResult method) AsynchronousGreedy (class in trieste.acquisition.rule) AsynchronousOptimization (class in trieste.acquisition.rule) AsynchronousRuleState (class in trieste.acquisition.rule) augmented_expected_improvement (class in trieste.acquisition) (class in trieste.acquisition.function) (class in trieste.acquisition.function.function) AugmentedExpectedImprovement (class in trieste.acquisition) (class in trieste.acquisition.function) (class in trieste.acquisition.function.function) automatic_optimizer_selector() (in module trieste.acquisition.optimizer)

B

batch_ehvi() (in module trieste.acquisition) (in module trieste.acquisition.function) (in module trieste.acquisition.function.multi_objective) batch_expected_improvement (class in trieste.acquisition) (class in trieste.acquisition.function) (class in trieste.acquisition.function.function) batch_monte_carlo_expected_improvement (class in trieste.acquisition.function.function) batch_size (BatchOptimizer attribute) BatchExpectedImprovement (class in trieste.acquisition) (class in trieste.acquisition.function) (class in trieste.acquisition.function.function) BatchHypervolumeSharpeRatioIndicator (class in trieste.acquisition.rule) batchify_joint() (in module trieste.acquisition.optimizer) batchify_vectorize() (in module trieste.acquisition.optimizer) BatchMonteCarloExpectedHypervolumeImprovement (class in trieste.acquisition) (class in trieste.acquisition.function) (class in trieste.acquisition.function.multi_objective) BatchMonteCarloExpectedImprovement (class in trieste.acquisition) (class in trieste.acquisition.function) (class in trieste.acquisition.function.function) BatchOptimizer (class in trieste.models.optimizer) BatchReparametrizationSampler (class in trieste.models.gpflow) (class in trieste.models.gpflow.sampler) bayesian_active_learning_by_disagreement (class in trieste.acquisition) (class in trieste.acquisition.function) (class in trieste.acquisition.function.active_learning) BayesianActiveLearningByDisagreement (class in trieste.acquisition) (class in trieste.acquisition.function) (class in trieste.acquisition.function.active_learning)

BayesianOptimizer (class in trieste.bayesian_optimizer) bichon_ranjan_criterion() (in module trieste.acquisition) (in module trieste.acquisition.function) (in module trieste.acquisition.function.active_learning) bounds() (ObjectiveTestProblem property), [1] Box (class in trieste.space) Branin (in module trieste.objectives) (in module trieste.objectives.single_objectives) branin() (in module trieste.objectives.single_objectives) build_gpr() (in module trieste.models.gpflow) (in module trieste.models.gpflow.builders) build_keras_ensemble() (in module trieste.models.keras) (in module trieste.models.keras.builders) build_multifidelity_autoregressive_models() (in module trieste.models.gpflow) (in module trieste.models.gpflow.builders) build_multifidelity_nonlinear_autoregressive_models() (in module trieste.models.gpflow) (in module trieste.models.gpflow.builders) build_sgpr() (in module trieste.models.gpflow) (in module trieste.models.gpflow.builders) build_svgp() (in module trieste.models.gpflow) (in module trieste.models.gpflow.builders) build_vanilla_deep_gp() (in module trieste.models.gpflux) (in module trieste.models.gpflux.builders) build_vgp_classifier() (in module trieste.models.gpflow) (in module trieste.models.gpflow.builders)

C

C (in module trieste.utils.misc) calculate_inducing_points() (InducingPointSelector method), [1] check_and_extract_fidelity_query_points() (in module trieste.data) check_optimizer() (in module trieste.models.gpflow) (in module trieste.models.gpflow.utils) CLASSIFICATION_KERNEL_VARIANCE (in module trieste.models.gpflow.builders) CLASSIFICATION_KERNEL_VARIANCE_NOISE_FREE (in module trieste.models.gpflow.builders) compile (Optimizer attribute) conditional_predict_f() (FastUpdateModel method), [1] (GaussianProcessRegression method), [1] conditional_predict_f_sample() (FastUpdateModel method), [1] (GaussianProcessRegression method), [1] conditional_predict_joint() (FastUpdateModel method), [1] (GaussianProcessRegression method), [1] conditional_predict_y() (FastUpdateModel method), [1] (GaussianProcessRegression method), [1] ConditionalImprovementReduction (class in trieste.models.gpflow) (class in trieste.models.gpflow.inducing_point_selectors) ConditionalVarianceReduction (class in trieste.models.gpflow) (class in trieste.models.gpflow.inducing_point_selectors) connect_layers() (GaussianNetwork method), [1] (KerasEnsembleNetwork method), [1]

ConstrainedScaledBranin (in module trieste.objectives) (in module trieste.objectives.single_objectives) Constraint (in module trieste.space) constraint() (Simulation static method) constraints() (Box property) (SearchSpace property) constraints_residuals() (Box method) (SearchSpace method) contains() (SearchSpace method) CostWeighting (class in trieste.acquisition.function.entropy) covariance_between_points() (GaussianProcessRegression method), [1] (SparseGaussianProcessRegression method), [1] (SparseVariational method), [1] (SupportsCovarianceBetweenPoints method) (VariationalGaussianProcess method), [1] covariance_with_top_fidelity() (MultifidelityAutoregressive method), [1] (MultifidelityNonlinearAutoregressive method), [1] (SupportsCovarianceWithTopFidelity method), [1] create_grid() (in module trieste.experimental.plotting.plotting) create_loss() (BatchOptimizer method) (Optimizer method) create_loss_function() (in module trieste.models.optimizer) create_posterior_cache() (GPflowPredictor method), [1]

D

Dataset (class in trieste.data) dataset() (AskTellOptimizer property) (FrozenRecord property) (Record property) dataset_builder (BatchOptimizer attribute) datasets (Record attribute) datasets() (AskTellOptimizer property) (FrozenRecord property) DatasetTransformer (in module trieste.models.optimizer) DecoupledTrajectorySampler (class in trieste.models.gpflow) (class in trieste.models.gpflow.sampler) deep_ensemble_trajectory (class in trieste.models.keras) (class in trieste.models.keras.sampler) DeepEnsemble (class in trieste.models.keras) (class in trieste.models.keras.models) DeepEnsembleModel (class in trieste.models.keras) (class in trieste.models.keras.interface) DeepEnsembleTrajectorySampler (class in trieste.models.keras) (class in trieste.models.keras.sampler) DeepGaussianProcess (class in trieste.models.gpflux) (class in trieste.models.gpflux.models) DeepGaussianProcessDecoupledLayer (class in trieste.models.gpflux) (class in trieste.models.gpflux.sampler) DeepGaussianProcessDecoupledTrajectorySampler (class in trieste.models.gpflux) (class in trieste.models.gpflux.sampler)

DeepGaussianProcessReparamSampler (class in trieste.models.gpflux) (class in trieste.models.gpflux.sampler) DEFAULT_DTYPE (in module trieste.space) default_summary_filter() (in module trieste.logging) DEFAULTS (class in trieste.utils) (class in trieste.utils.misc) dgp_feature_decomposition_trajectory (class in trieste.models.gpflux) (class in trieste.models.gpflux.sampler) dim() (ObjectiveTestProblem property), [1] dimension() (Box property) (DiscreteSearchSpace property) (SearchSpace property) (TaggedProductSearchSpace property) DiscreteSearchSpace (class in trieste.space) DiscreteThompsonSampling (class in trieste.acquisition.rule) discretize() (SearchSpace method) DividedAndConquerNonDominated (class in trieste.acquisition.multi_objective) (class in trieste.acquisition.multi_objective.partition) DPPInducingPointSelector (class in trieste.models.gpflow.inducing_point_selectors) DTLZ1() (in module trieste.objectives) (in module trieste.objectives.multi_objectives) dtlz1() (in module trieste.objectives.multi_objectives) DTLZ2() (in module trieste.objectives) (in module trieste.objectives.multi_objectives) dtlz2() (in module trieste.objectives.multi_objectives) dtlz_mkd() (in module trieste.objectives.multi_objectives)

E

EarlyStopCallback (in module trieste.bayesian_optimizer) EfficientGlobalOptimization (class in trieste.acquisition.rule) ensemble_distributions() (DeepEnsemble method), [1] (DeepEnsembleModel method), [1] ensemble_size() (DeepEnsemble property), [1] (DeepEnsembleModel property), [1] (KerasEnsemble property), [1] eps (TrustRegion.State attribute) Err (class in trieste.utils) (class in trieste.utils.misc) evaluate_data() (in module trieste.logging) ExactPartition2dNonDominated (class in trieste.acquisition.multi_objective) (class in trieste.acquisition.multi_objective.partition) ExactThompsonSampler (class in trieste.acquisition) (class in trieste.acquisition.sampler) expected_hv_improvement (class in trieste.acquisition) (class in trieste.acquisition.function) (class in trieste.acquisition.function.multi_objective)

expected_improvement (class in trieste.acquisition) (class in trieste.acquisition.function) (class in trieste.acquisition.function.function) ExpectedConstrainedHypervolumeImprovement (class in trieste.acquisition) (class in trieste.acquisition.function) (class in trieste.acquisition.function.multi_objective) ExpectedConstrainedImprovement (class in trieste.acquisition) (class in trieste.acquisition.function) (class in trieste.acquisition.function.function) ExpectedFeasibility (class in trieste.acquisition) (class in trieste.acquisition.function) (class in trieste.acquisition.function.active_learning) ExpectedHypervolumeImprovement (class in trieste.acquisition) (class in trieste.acquisition.function) (class in trieste.acquisition.function.multi_objective) ExpectedImprovement (class in trieste.acquisition) (class in trieste.acquisition.function) (class in trieste.acquisition.function.function)

F

FailedOptimizationError Fantasizer (class in trieste.acquisition) (class in trieste.acquisition.function) (class in trieste.acquisition.function.greedy_batch) FantasizerModelStack (class in trieste.acquisition.function.greedy_batch) FantasizerModelType (class in trieste.acquisition.function.greedy_batch) fast_constraints_feasibility() (in module trieste.acquisition) (in module trieste.acquisition.function) (in module trieste.acquisition.function.function) FastConstraintsFeasibility (class in trieste.acquisition) (class in trieste.acquisition.function) (class in trieste.acquisition.function.function) FastUpdateModel (class in trieste.models) (class in trieste.models.interfaces) feature_decomposition_trajectory (class in trieste.models.gpflow) (class in trieste.models.gpflow.sampler)

FeatureDecompositionInducingPointModel (class in trieste.models.gpflow.sampler) FeatureDecompositionInternalDataModel (class in trieste.models.gpflow.sampler) FeatureDecompositionTrajectorySampler (class in trieste.models.gpflow.sampler) fidelity_search_space (SingleObjectiveMultifidelityTestProblem attribute), [1] filter_finite() (in module trieste.observer) final_result (OptimizationResult attribute) find_best_model_initialization() (GaussianProcessRegression method), [1] fit_args (KerasOptimizer attribute) fix_subspace() (TaggedProductSearchSpace method) flatten_leading_dims() (in module trieste.utils) (in module trieste.utils.misc) format_point_markers() (in module trieste.experimental.plotting.plotting) (in module trieste.experimental.plotting.plotting_plotly) from_path() (OptimizationResult class method) from_record() (AskTellOptimizer class method) FrozenRecord (class in trieste.bayesian_optimizer)

G

GaussianNetwork (class in trieste.models.keras) (class in trieste.models.keras.architectures) GaussianProcessRegression (class in trieste.models.gpflow) (class in trieste.models.gpflow.models) gen_pareto_optimal_points (MultiObjectiveTestProblem attribute), [1] generate_continuous_optimizer() (in module trieste.acquisition.optimizer) generate_random_search_optimizer() (in module trieste.acquisition.optimizer) GenParetoOptimalPoints (class in trieste.objectives.multi_objectives) get_bounds_of_box_relaxation_around_point() (in module trieste.acquisition.optimizer) get_current_name_scope() (in module trieste.logging) get_dataset_for_fidelity() (in module trieste.data) get_inducing_variables() (SparseGaussianProcessRegression method), [1] (SparseVariational method), [1] (SupportsGetInducingVariables method) (VariationalGaussianProcess method), [1] get_internal_data() (GaussianProcessRegression method), [1] (SparseGaussianProcessRegression method), [1] (SupportsGetInternalData method) get_kernel() (_fantasized_model method) (GPflowPredictor method), [1] (SupportsGetKernel method) get_mean_function() (GPflowPredictor method), [1] (SupportsGetMeanFunction method) get_min_value_samples_on_top_fidelity() (MUMBO method) get_observation_noise() (_fantasized_model method) (GPflowPredictor method), [1] (GPfluxPredictor method), [1] (SupportsGetObservationNoise method) get_reference_point() (in module trieste.acquisition.multi_objective) (in module trieste.acquisition.multi_objective.pareto) get_state() (deep_ensemble_trajectory method), [1] get_step_number() (in module trieste.logging) get_subspace() (TaggedProductSearchSpace method) get_subspace_component() (TaggedProductSearchSpace method)

get_summary_filter() (in module trieste.logging) get_tensor_spec_from_data() (in module trieste.models.keras) (in module trieste.models.keras.utils) get_tensorboard_writer() (in module trieste.logging) get_trajectory() (DeepEnsembleTrajectorySampler method), [1] (DeepGaussianProcessDecoupledTrajectorySampler method), [1] (FeatureDecompositionTrajectorySampler method) (TrajectorySampler method), [1] GIBBON (class in trieste.acquisition) (class in trieste.acquisition.function) (class in trieste.acquisition.function.entropy) gibbon_quality_term (class in trieste.acquisition) (class in trieste.acquisition.function) (class in trieste.acquisition.function.entropy) gibbon_repulsion_term (class in trieste.acquisition) (class in trieste.acquisition.function) (class in trieste.acquisition.function.entropy) GibbonAcquisition (class in trieste.acquisition.function.entropy) GIBBONModelType (in module trieste.acquisition.function.entropy) GPflowPredictor (class in trieste.models.gpflow) (class in trieste.models.gpflow.interface) GPfluxPredictor (class in trieste.models.gpflux) (class in trieste.models.gpflux.interface) gramacy_lee() (in module trieste.objectives.single_objectives) GramacyLee (in module trieste.objectives) (in module trieste.objectives.single_objectives) greedy_inference_dpp() (in module trieste.models.gpflow.inducing_point_selectors) GreedyAcquisitionFunctionBuilder (class in trieste.acquisition) (class in trieste.acquisition.interface) GreedyContinuousThompsonSampling (class in trieste.acquisition) (class in trieste.acquisition.function) (class in trieste.acquisition.function.continuous_thompson_sampling) GumbelSampler (class in trieste.acquisition) (class in trieste.acquisition.sampler)

H

hard_local_penalizer (class in trieste.acquisition) (class in trieste.acquisition.function) (class in trieste.acquisition.function.greedy_batch) Hartmann3 (in module trieste.objectives) (in module trieste.objectives.single_objectives) Hartmann6 (in module trieste.objectives) (in module trieste.objectives.single_objectives) hartmann_3() (in module trieste.objectives.single_objectives) hartmann_6() (in module trieste.objectives.single_objectives) has_constraints() (Box property) (SearchSpace property)

has_pending_points() (AsynchronousRuleState property) HasReparamSampler (class in trieste.models.interfaces) HasReparamSamplerModelStack (class in trieste.models.interfaces) HasTrajectorySampler (class in trieste.models.interfaces) HIPPO (class in trieste.acquisition) (class in trieste.acquisition.function) (class in trieste.acquisition.function.multi_objective) hippo_penalizer (class in trieste.acquisition.function.multi_objective) histogram() (in module trieste.logging) history (OptimizationResult attribute) hypervolume_indicator() (Pareto method), [1]

I

include_summary() (in module trieste.logging) IndependentReparametrizationSampler (class in trieste.models.gpflow) (class in trieste.models.gpflow.sampler) InducingPointSelector (class in trieste.models.gpflow) (class in trieste.models.gpflow.inducing_point_selectors) INNER_LAYER_SQRT_FACTOR (in module trieste.models.gpflux.builders) integrated_variance_reduction (class in trieste.acquisition) (class in trieste.acquisition.function) (class in trieste.acquisition.function.active_learning)

IntegratedVarianceReduction (class in trieste.acquisition) (class in trieste.acquisition.function) (class in trieste.acquisition.function.active_learning) is_err() (Result property), [1] is_feasible() (Box method) (SearchSpace method) is_global (TrustRegion.State attribute) is_ok() (Err property), [1] (Ok property), [1] (Result property), [1]

J

jit() (in module trieste.utils) (in module trieste.utils.misc)

JITTER (DEFAULTS attribute), [1]

K

K (in module trieste.utils) (in module trieste.utils.misc) KerasEnsemble (class in trieste.models.keras) (class in trieste.models.keras.architectures) KerasEnsembleNetwork (class in trieste.models.keras) (class in trieste.models.keras.architectures)

KerasOptimizer (class in trieste.models.optimizer) KerasPredictor (class in trieste.models.keras) (class in trieste.models.keras.interface) KERNEL_LENGTHSCALE (in module trieste.models.gpflow.builders) KERNEL_PRIOR_SCALE (in module trieste.models.gpflow.builders) KMeansInducingPointSelector (class in trieste.models.gpflow) (class in trieste.models.gpflow.inducing_point_selectors)

L

LIKELIHOOD_VARIANCE (in module trieste.models.gpflux.builders) LinearConstraint (class in trieste.space) load() (FrozenRecord method) loaded_history() (OptimizationResult property) local_penalizer (class in trieste.acquisition.function.greedy_batch) LocalPenalization (class in trieste.acquisition) (class in trieste.acquisition.function) (class in trieste.acquisition.function.greedy_batch) log() (_fantasized_model method) (DeepEnsemble method), [1] (DeepGaussianProcess method), [1] (GPflowPredictor method), [1] (ModelStack method), [1] (ProbabilisticModel method), [1]

logarithmic_goldstein_price() (in module trieste.objectives.single_objectives) LogarithmicGoldsteinPrice (in module trieste.objectives) (in module trieste.objectives.single_objectives) loss (KerasOptimizer attribute) LossClosure (in module trieste.models.optimizer) lower() (Box property) (DiscreteSearchSpace property) (SearchSpace property) (TaggedProductSearchSpace property) lower_confidence_bound() (in module trieste.acquisition) (in module trieste.acquisition.function) (in module trieste.acquisition.function.function)

M

MakePositive (class in trieste.acquisition) (class in trieste.acquisition.function) (class in trieste.acquisition.function.function) map_is_finite() (in module trieste.observer) map_values() (in module trieste.utils) (in module trieste.utils.misc) max_iter (BatchOptimizer attribute) MAX_NUM_INDUCING_POINTS (in module trieste.models.gpflow.builders) (in module trieste.models.gpflux.builders) metrics (KerasOptimizer attribute) michalewicz() (in module trieste.objectives.single_objectives) Michalewicz10 (in module trieste.objectives) (in module trieste.objectives.single_objectives) Michalewicz2 (in module trieste.objectives) (in module trieste.objectives.single_objectives) Michalewicz5 (in module trieste.objectives) (in module trieste.objectives.single_objectives) michalewicz_10() (in module trieste.objectives.single_objectives) michalewicz_2() (in module trieste.objectives.single_objectives) michalewicz_5() (in module trieste.objectives.single_objectives) min_value_entropy_search (class in trieste.acquisition) (class in trieste.acquisition.function) (class in trieste.acquisition.function.entropy) minimize_args (Optimizer attribute) minimizers (SingleObjectiveTestProblem attribute), [1] minimum (SingleObjectiveTestProblem attribute), [1] MinValueEntropySearch (class in trieste.acquisition) (class in trieste.acquisition.function) (class in trieste.acquisition.function.entropy) mk_multi_observer() (in module trieste.objectives.utils) mk_observer() (in module trieste.objectives.utils) model() (AskTellOptimizer property) (DeepEnsemble property), [1] (FrozenRecord property) (GaussianProcessRegression property), [1] (GPflowPredictor property), [1] (KerasEnsemble property), [1] (KerasPredictor property), [1] (Record property) (SparseGaussianProcessRegression property), [1] (SparseVariational property), [1] (VariationalGaussianProcess property), [1] model_gpflux() (DeepGaussianProcess property), [1] (GPfluxPredictor property), [1] model_keras() (DeepGaussianProcess property), [1] (GPfluxPredictor property), [1] ModelBasedImprovementQualityFunction (class in trieste.models.gpflow.inducing_point_selectors) models (Record attribute) models() (AskTellOptimizer property) (FrozenRecord property) ModelStack (class in trieste.models) (class in trieste.models.interfaces) module trieste trieste.acquisition trieste.acquisition.combination trieste.acquisition.function trieste.acquisition.function.active_learning trieste.acquisition.function.continuous_thompson_sampling trieste.acquisition.function.entropy trieste.acquisition.function.function trieste.acquisition.function.greedy_batch trieste.acquisition.function.multi_objective trieste.acquisition.function.utils trieste.acquisition.interface trieste.acquisition.multi_objective trieste.acquisition.multi_objective.dominance trieste.acquisition.multi_objective.pareto trieste.acquisition.multi_objective.partition trieste.acquisition.optimizer trieste.acquisition.rule trieste.acquisition.sampler trieste.acquisition.utils trieste.ask_tell_optimization trieste.bayesian_optimizer trieste.data trieste.experimental trieste.experimental.plotting trieste.experimental.plotting.inequality_constraints trieste.experimental.plotting.plotting trieste.experimental.plotting.plotting_plotly trieste.logging trieste.models trieste.models.gpflow trieste.models.gpflow.builders trieste.models.gpflow.inducing_point_selectors trieste.models.gpflow.interface trieste.models.gpflow.models trieste.models.gpflow.optimizer trieste.models.gpflow.sampler trieste.models.gpflow.utils trieste.models.gpflux trieste.models.gpflux.builders trieste.models.gpflux.interface trieste.models.gpflux.models trieste.models.gpflux.sampler trieste.models.interfaces trieste.models.keras trieste.models.keras.architectures trieste.models.keras.builders trieste.models.keras.interface trieste.models.keras.models trieste.models.keras.sampler trieste.models.keras.utils trieste.models.optimizer trieste.models.utils trieste.objectives trieste.objectives.multi_objectives trieste.objectives.multifidelity_objectives trieste.objectives.single_objectives trieste.objectives.utils trieste.observer trieste.space trieste.types trieste.utils trieste.utils.misc trieste.version

monte_carlo_augmented_expected_improvement (class in trieste.acquisition.function.function) monte_carlo_expected_improvement (class in trieste.acquisition.function.function) MonteCarloAugmentedExpectedImprovement (class in trieste.acquisition) (class in trieste.acquisition.function) (class in trieste.acquisition.function.function) MonteCarloExpectedImprovement (class in trieste.acquisition) (class in trieste.acquisition.function) (class in trieste.acquisition.function.function) MultifidelityAutoregressive (class in trieste.models.gpflow) (class in trieste.models.gpflow.models) MultifidelityNonlinearAutoregressive (class in trieste.models.gpflow) (class in trieste.models.gpflow.models) MultiObjectiveTestProblem (class in trieste.objectives) (class in trieste.objectives.multi_objectives) MultiObserver (in module trieste.observer) multiple_optimism_lower_confidence_bound (class in trieste.acquisition) (class in trieste.acquisition.function) (class in trieste.acquisition.function.function) MultipleOptimismNegativeLowerConfidenceBound (class in trieste.acquisition) (class in trieste.acquisition.function) (class in trieste.acquisition.function.function) MultivariateNormalCDF (class in trieste.acquisition.function) (class in trieste.acquisition.function.utils) MultivariateNormalTriL (class in trieste.models.keras.architectures) MUMBO (class in trieste.acquisition.function.entropy) mumbo (class in trieste.acquisition.function.entropy) MUMBOModelType (in module trieste.acquisition.function.entropy)

N

name (ObjectiveTestProblem attribute), [1] negate_trajectory_function() (in module trieste.acquisition.function.continuous_thompson_sampling) negative_log_likelihood() (in module trieste.models.keras) (in module trieste.models.keras.utils) NegativeLowerConfidenceBound (class in trieste.acquisition) (class in trieste.acquisition.function) (class in trieste.acquisition.function.function) NegativePredictiveMean (class in trieste.acquisition) (class in trieste.acquisition.function) (class in trieste.acquisition.function.function) non_dominated() (in module trieste.acquisition.multi_objective) (in module trieste.acquisition.multi_objective.dominance)

NonlinearConstraint (class in trieste.space) num_fidelities (SingleObjectiveMultifidelityTestProblem attribute), [1] num_fidelities() (MultifidelityAutoregressive property), [1] (MultifidelityNonlinearAutoregressive property), [1] (SupportsCovarianceWithTopFidelity property), [1] NUM_INDUCING_POINTS_PER_DIM (in module trieste.models.gpflow.builders) (in module trieste.models.gpflux.builders) NUM_LAYERS (in module trieste.models.gpflux.builders) num_outputs() (DeepEnsemble property), [1] (DeepEnsembleModel property), [1] NUM_RUNS_DIM (in module trieste.acquisition.optimizer) NUM_SAMPLES_DIM (in module trieste.acquisition.optimizer) NUM_SAMPLES_MIN (in module trieste.acquisition.optimizer)

O

OBJECTIVE (in module trieste.observer) objective (ObjectiveTestProblem attribute), [1] objective() (Simulation static method) ObjectiveTestProblem (class in trieste.objectives) (class in trieste.objectives.single_objectives) observation_plot_init() (in module trieste.bayesian_optimizer) observations (Dataset attribute) Observer (in module trieste.observer) Ok (class in trieste.utils) (class in trieste.utils.misc) OptimizationResult (class in trieste.bayesian_optimizer) optimize() (BatchOptimizer method) (BayesianOptimizer method) (DeepEnsemble method), [1] (DeepGaussianProcess method), [1] (GaussianProcessRegression method), [1] (GPflowPredictor method), [1] (MultifidelityAutoregressive method), [1] (MultifidelityNonlinearAutoregressive method), [1] (Optimizer method) (SparseGaussianProcessRegression method), [1] (SparseVariational method), [1] (TrainableModelStack method), [1] (TrainableProbabilisticModel method), [1] (VariationalGaussianProcess method), [1]

optimize_discrete() (in module trieste.acquisition.optimizer) Optimizer (class in trieste.models.optimizer) optimizer (KerasOptimizer attribute) (Optimizer attribute) optimizer() (GPflowPredictor property), [1] (GPfluxPredictor property), [1] (KerasPredictor property), [1] OptimizeResult (in module trieste.models.optimizer)

P

ParallelContinuousThompsonSampling (class in trieste.acquisition) (class in trieste.acquisition.function) (class in trieste.acquisition.function.continuous_thompson_sampling) Pareto (class in trieste.acquisition.multi_objective) (class in trieste.acquisition.multi_objective.pareto) partition_bounds() (_BoundIndexPartition method) path (FrozenRecord attribute) PenalizationFunction (in module trieste.acquisition) (in module trieste.acquisition.interface) PenalizedAcquisition (class in trieste.acquisition.function.greedy_batch) plot_2obj_cst_query_points() (in module trieste.experimental.plotting.inequality_constraints) plot_acq_function_2d() (in module trieste.experimental.plotting.plotting) plot_bo_points() (in module trieste.experimental.plotting.plotting) plot_function_2d() (in module trieste.experimental.plotting.plotting) plot_function_plotly() (in module trieste.experimental.plotting.plotting_plotly) plot_gp_2d() (in module trieste.experimental.plotting.plotting) plot_init_query_points() (in module trieste.experimental.plotting.inequality_constraints) plot_mobo_history() (in module trieste.experimental.plotting.plotting) plot_mobo_points_in_obj_space() (in module trieste.experimental.plotting.plotting) plot_model_predictions_plotly() (in module trieste.experimental.plotting.plotting_plotly) plot_objective_and_constraints() (in module trieste.experimental.plotting.inequality_constraints) plot_regret() (in module trieste.experimental.plotting.plotting) plot_surface() (in module trieste.experimental.plotting.plotting) points() (DiscreteSearchSpace property) predict() (_fantasized_model method) (DeepEnsemble method), [1] (GPflowPredictor method), [1] (GPfluxPredictor method), [1] (KerasPredictor method), [1] (ModelStack method), [1] (MultifidelityAutoregressive method), [1] (MultifidelityNonlinearAutoregressive method), [1] (ProbabilisticModel method), [1] predict_ensemble() (DeepEnsemble method), [1] predict_joint() (_fantasized_model method) (GPflowPredictor method), [1] (PredictJointModelStack method) (SupportsPredictJoint method) predict_y() (_fantasized_model method) (GaussianProcessRegression method), [1] (GPflowPredictor method), [1] (GPfluxPredictor method), [1] (ModelStack method), [1] (MultifidelityAutoregressive method), [1] (MultifidelityNonlinearAutoregressive method), [1] (ProbabilisticModel method), [1] (SparseGaussianProcessRegression method), [1] (SparseVariational method), [1] (VariationalGaussianProcess method), [1] predictive_variance() (in module trieste.acquisition) (in module trieste.acquisition.function) (in module trieste.acquisition.function.active_learning) PredictiveVariance (class in trieste.acquisition) (class in trieste.acquisition.function) (class in trieste.acquisition.function.active_learning) PredictJointModelStack (class in trieste.models.interfaces)

prepare_acquisition_function() (AcquisitionFunctionBuilder method), [1] (AugmentedExpectedImprovement method), [1], [2] (BatchExpectedImprovement method), [1], [2] (BatchMonteCarloExpectedHypervolumeImprovement method), [1], [2] (BatchMonteCarloExpectedImprovement method), [1], [2] (BayesianActiveLearningByDisagreement method), [1], [2] (CostWeighting method) (ExpectedConstrainedImprovement method), [1], [2] (ExpectedFeasibility method), [1], [2] (ExpectedHypervolumeImprovement method), [1], [2] (ExpectedImprovement method), [1], [2] (Fantasizer method), [1], [2] (FastConstraintsFeasibility method), [1], [2] (GIBBON method), [1], [2] (GreedyAcquisitionFunctionBuilder method), [1] (GreedyContinuousThompsonSampling method), [1], [2] (HIPPO method), [1], [2] (IntegratedVarianceReduction method), [1], [2] (LocalPenalization method), [1], [2] (MakePositive method), [1], [2] (MinValueEntropySearch method), [1], [2] (MonteCarloAugmentedExpectedImprovement method), [1], [2] (MonteCarloExpectedImprovement method), [1], [2] (MultipleOptimismNegativeLowerConfidenceBound method), [1], [2] (MUMBO method) (NegativeLowerConfidenceBound method), [1], [2] (ParallelContinuousThompsonSampling method), [1], [2] (PredictiveVariance method), [1], [2] (ProbabilityOfFeasibility method), [1], [2] (ProbabilityOfImprovement method), [1] (Reducer method), [1] (SingleModelAcquisitionBuilder method), [1] (SingleModelGreedyAcquisitionBuilder method), [1] prepare_dataset() (DeepEnsemble method), [1] prepare_default_non_dominated_partition_bounds() (in module trieste.acquisition.multi_objective) (in module trieste.acquisition.multi_objective.partition) prepare_query_points() (DeepEnsemble method), [1] ProbabilisticModel (class in trieste.models) (class in trieste.models.interfaces) ProbabilisticModelType (in module trieste.models) (in module trieste.models.interfaces) probability_below_threshold (class in trieste.acquisition) (class in trieste.acquisition.function) (class in trieste.acquisition.function.function) ProbabilityOfFeasibility (class in trieste.acquisition) (class in trieste.acquisition.function) (class in trieste.acquisition.function.function) ProbabilityOfImprovement (class in trieste.acquisition.function) (class in trieste.acquisition.function.function) Product (class in trieste.acquisition) (class in trieste.acquisition.combination) product() (Box method) (DiscreteSearchSpace method) (SearchSpace method) (TaggedProductSearchSpace method) pyplot() (in module trieste.logging)

Q

qmc_normal_samples() (in module trieste.models.gpflow.sampler)

QualityFunction (class in trieste.models.gpflow.inducing_point_selectors) query_points (Dataset attribute)

R

RandomFourierFeatureTrajectorySampler (class in trieste.models.gpflow) (class in trieste.models.gpflow.sampler) randomize_hyperparameters() (in module trieste.models.gpflow) (in module trieste.models.gpflow.utils) RandomSampling (class in trieste.acquisition.rule) RandomSubSampleInducingPointSelector (class in trieste.models.gpflow) (class in trieste.models.gpflow.inducing_point_selectors) Record (class in trieste.bayesian_optimizer) Reducer (class in trieste.acquisition) (class in trieste.acquisition.combination) remove_points() (AsynchronousRuleState method) reparam_sampler() (DeepGaussianProcess method), [1] (GPflowPredictor method), [1] (HasReparamSampler method) (HasReparamSamplerModelStack method) ReparametrizationSampler (class in trieste.models) (class in trieste.models.interfaces) resample() (deep_ensemble_trajectory method), [1] (DeepGaussianProcessDecoupledLayer method), [1] (dgp_feature_decomposition_trajectory method), [1] (feature_decomposition_trajectory method), [1] (ResampleableDecoupledDeepGaussianProcessFeatureFunctions method), [1] (ResampleableRandomFourierFeatureFunctions method)

resample_trajectory() (DeepEnsembleTrajectorySampler method), [1] (DeepGaussianProcessDecoupledTrajectorySampler method), [1] (FeatureDecompositionTrajectorySampler method) (TrajectorySampler method), [1] ResampleableDecoupledDeepGaussianProcessFeatureFunctions (class in trieste.models.gpflux) (class in trieste.models.gpflux.sampler) ResampleableDecoupledFeatureFunctions (class in trieste.models.gpflow.sampler) ResampleableRandomFourierFeatureFunctions (class in trieste.models.gpflow.sampler) reset_sampler() (ReparametrizationSampler method), [1] residual() (LinearConstraint method) (NonlinearConstraint method) Result (class in trieste.utils) (class in trieste.utils.misc) ResultType (in module trieste.acquisition.rule) (in module trieste.utils) (in module trieste.utils.misc) Rosenbrock4 (in module trieste.objectives) (in module trieste.objectives.single_objectives) rosenbrock_4() (in module trieste.objectives.single_objectives)

S

S (in module trieste.types) sample() (_fantasized_model method) (BatchReparametrizationSampler method), [1] (Box method) (DeepEnsemble method), [1] (DeepGaussianProcess method), [1] (DeepGaussianProcessReparamSampler method), [1] (DiscreteSearchSpace method) (ExactThompsonSampler method), [1] (GPflowPredictor method), [1] (GPfluxPredictor method), [1] (GumbelSampler method), [1] (IndependentReparametrizationSampler method), [1] (KerasPredictor method), [1] (ModelStack method), [1] (MultifidelityAutoregressive method), [1] (MultifidelityNonlinearAutoregressive method), [1] (ProbabilisticModel method), [1] (ReparametrizationSampler method), [1] (SearchSpace method) (TaggedProductSearchSpace method) (ThompsonSampler method), [1] (ThompsonSamplerFromTrajectory method), [1] sample_diverse_subset() (Pareto method), [1] sample_ensemble() (DeepEnsemble method), [1] sample_feasible() (Box method) sample_halton() (Box method) sample_halton_feasible() (Box method) sample_model_index() (in module trieste.models.keras.utils) sample_sobol() (Box method) sample_sobol_feasible() (Box method) sample_with_replacement() (in module trieste.models.keras) (in module trieste.models.keras.utils) SampleTimeoutError save() (OptimizationResult method) (Record method) save_result() (OptimizationResult method) scalar() (in module trieste.logging) scaled_branin() (in module trieste.objectives.single_objectives) ScaledBranin (in module trieste.objectives) (in module trieste.objectives.single_objectives) ScipyOptimizerGreenlet (class in trieste.acquisition.optimizer) search_space (ObjectiveTestProblem attribute), [1] SearchSpace (class in trieste.space) SearchSpaceType (in module trieste.acquisition.rule) (in module trieste.ask_tell_optimization) (in module trieste.bayesian_optimizer) (in module trieste.space) select_nth_output() (in module trieste.acquisition.utils) set_step_number() (in module trieste.logging) set_summary_filter() (in module trieste.logging) set_tensorboard_writer() (in module trieste.logging) shapes_equal() (in module trieste.utils) (in module trieste.utils.misc)

Shekel4 (in module trieste.objectives) (in module trieste.objectives.single_objectives) shekel_4() (in module trieste.objectives.single_objectives) SIGNAL_NOISE_RATIO_LIKELIHOOD (in module trieste.models.gpflow.builders) simple_quadratic() (in module trieste.objectives.single_objectives) SimpleQuadratic (in module trieste.objectives) (in module trieste.objectives.single_objectives) Simulation (class in trieste.experimental.plotting.inequality_constraints) SingleModelAcquisitionBuilder (class in trieste.acquisition) (class in trieste.acquisition.interface) SingleModelGreedyAcquisitionBuilder (class in trieste.acquisition) (class in trieste.acquisition.interface) SingleModelVectorizedAcquisitionBuilder (class in trieste.acquisition) (class in trieste.acquisition.interface) SingleObjectiveMultifidelityTestProblem (class in trieste.objectives) (class in trieste.objectives.multifidelity_objectives) SingleObjectiveTestProblem (class in trieste.objectives) (class in trieste.objectives.single_objectives) SingleObserver (in module trieste.observer) skip (BatchReparametrizationSampler attribute), [1] (IndependentReparametrizationSampler attribute), [1] soft_local_penalizer (class in trieste.acquisition) (class in trieste.acquisition.function) (class in trieste.acquisition.function.greedy_batch) SparseGaussianProcessRegression (class in trieste.models.gpflow) (class in trieste.models.gpflow.models) SparseVariational (class in trieste.models.gpflow) (class in trieste.models.gpflow.models) split_acquisition_function() (in module trieste.acquisition.utils) split_acquisition_function_calls() (in module trieste.acquisition.utils) split_dataset_by_fidelity() (in module trieste.data) squeeze_hyperparameters() (in module trieste.models.gpflow) (in module trieste.models.gpflow.utils) State (in module trieste.types) StateType (in module trieste.ask_tell_optimization) (in module trieste.bayesian_optimizer) step_filename() (OptimizationResult static method) step_number() (in module trieste.logging) stop_at_minimum() (in module trieste.bayesian_optimizer) subspace_tags() (TaggedProductSearchSpace property) Sum (class in trieste.acquisition) (class in trieste.acquisition.combination) SupportsCovarianceBetweenPoints (class in trieste.models.gpflow.interface) SupportsCovarianceObservationNoise (class in trieste.acquisition.function.entropy) SupportsCovarianceObservationNoiseTrajectory (class in trieste.acquisition.function.entropy) SupportsCovarianceWithTopFidelity (class in trieste.models) (class in trieste.models.interfaces) SupportsGetInducingVariables (class in trieste.models.interfaces) SupportsGetInternalData (class in trieste.models.interfaces) SupportsGetKernel (class in trieste.models.interfaces) SupportsGetMeanFunction (class in trieste.models.interfaces) SupportsGetObservationNoise (class in trieste.models.interfaces) SupportsPredictJoint (class in trieste.models.interfaces) SupportsReparamSamplerObservationNoise (class in trieste.models.interfaces)

T

T (in module trieste.types) Tag (in module trieste.types) TaggedProductSearchSpace (class in trieste.space) tell() (AskTellOptimizer method) tensorboard_writer() (in module trieste.logging) TensorType (in module trieste.types) text() (in module trieste.logging) ThompsonSampler (class in trieste.acquisition) (class in trieste.acquisition.sampler) ThompsonSamplerFromTrajectory (class in trieste.acquisition) (class in trieste.acquisition.sampler) threshold() (ProbabilityOfFeasibility property), [1], [2] Timer (class in trieste.utils) (class in trieste.utils.misc) to_numpy() (in module trieste.utils) (in module trieste.utils.misc) to_record() (AskTellOptimizer method) to_result() (AskTellOptimizer method) TrainableModelStack (class in trieste.models) (class in trieste.models.interfaces) TrainablePredictJointModelStack (class in trieste.models.interfaces) TrainablePredictJointReparamModelStack (class in trieste.models.interfaces) TrainableProbabilisticModel (class in trieste.models) (class in trieste.models.interfaces) TrainableProbabilisticModelType (in module trieste.ask_tell_optimization) (in module trieste.bayesian_optimizer) TrainableSupportsPredictJoint (class in trieste.models.interfaces) TrainableSupportsPredictJointHasReparamSampler (class in trieste.models.interfaces) TrainingData (in module trieste.models.optimizer) trajectory_sampler() (DeepEnsemble method), [1] (DeepGaussianProcess method), [1] (GaussianProcessRegression method), [1] (HasTrajectorySampler method) (SparseGaussianProcessRegression method), [1] (SparseVariational method), [1] (VariationalGaussianProcess method), [1] TrajectoryFunction (in module trieste.models) (in module trieste.models.interfaces) TrajectoryFunctionClass (class in trieste.models) (class in trieste.models.interfaces) TrajectorySampler (class in trieste.models) (class in trieste.models.interfaces) trid() (in module trieste.objectives.single_objectives) Trid10 (in module trieste.objectives) (in module trieste.objectives.single_objectives) trid_10() (in module trieste.objectives.single_objectives) trieste module trieste.acquisition module trieste.acquisition.combination module trieste.acquisition.function module trieste.acquisition.function.active_learning module trieste.acquisition.function.continuous_thompson_sampling module trieste.acquisition.function.entropy module trieste.acquisition.function.function module trieste.acquisition.function.greedy_batch module trieste.acquisition.function.multi_objective module trieste.acquisition.function.utils module trieste.acquisition.interface module trieste.acquisition.multi_objective module trieste.acquisition.multi_objective.dominance module trieste.acquisition.multi_objective.pareto module trieste.acquisition.multi_objective.partition module trieste.acquisition.optimizer module trieste.acquisition.rule module trieste.acquisition.sampler module trieste.acquisition.utils module trieste.ask_tell_optimization module trieste.bayesian_optimizer module

trieste.data module trieste.experimental module trieste.experimental.plotting module trieste.experimental.plotting.inequality_constraints module trieste.experimental.plotting.plotting module trieste.experimental.plotting.plotting_plotly module trieste.logging module trieste.models module trieste.models.gpflow module trieste.models.gpflow.builders module trieste.models.gpflow.inducing_point_selectors module trieste.models.gpflow.interface module trieste.models.gpflow.models module trieste.models.gpflow.optimizer module trieste.models.gpflow.sampler module trieste.models.gpflow.utils module trieste.models.gpflux module trieste.models.gpflux.builders module trieste.models.gpflux.interface module trieste.models.gpflux.models module trieste.models.gpflux.sampler module trieste.models.interfaces module trieste.models.keras module trieste.models.keras.architectures module trieste.models.keras.builders module trieste.models.keras.interface module trieste.models.keras.models module trieste.models.keras.sampler module trieste.models.keras.utils module trieste.models.optimizer module trieste.models.utils module trieste.objectives module trieste.objectives.multi_objectives module trieste.objectives.multifidelity_objectives module trieste.objectives.single_objectives module trieste.objectives.utils module trieste.observer module trieste.space module trieste.types module trieste.utils module trieste.utils.misc module trieste.version module TrustRegion (class in trieste.acquisition.rule) TrustRegion.State (class in trieste.acquisition.rule) try_get_final_dataset() (OptimizationResult method) try_get_final_datasets() (OptimizationResult method) try_get_final_model() (OptimizationResult method) try_get_final_models() (OptimizationResult method) try_get_optimal_point() (OptimizationResult method)

U

U (in module trieste.utils) (in module trieste.utils.misc) UniformInducingPointSelector (class in trieste.models.gpflow) (class in trieste.models.gpflow.inducing_point_selectors) UnitQualityFunction (class in trieste.models.gpflow.inducing_point_selectors) unwrap() (Err method), [1] (Ok method), [1] (Result method), [1] UpdatablePenalizationFunction (class in trieste.acquisition) (class in trieste.acquisition.interface) update() (augmented_expected_improvement method), [1], [2] (batch_expected_improvement method), [1], [2] (batch_monte_carlo_expected_improvement method) (DeepEnsemble method), [1] (DeepGaussianProcess method), [1] (DeepGaussianProcessDecoupledLayer method), [1] (dgp_feature_decomposition_trajectory method), [1] (expected_hv_improvement method), [1], [2] (expected_improvement method), [1], [2] (feature_decomposition_trajectory method), [1] (GaussianProcessRegression method), [1] (gibbon_quality_term method), [1], [2] (gibbon_repulsion_term method), [1], [2] (hippo_penalizer method) (local_penalizer method) (min_value_entropy_search method), [1], [2] (monte_carlo_augmented_expected_improvement method) (monte_carlo_expected_improvement method) (MultifidelityAutoregressive method), [1] (MultifidelityNonlinearAutoregressive method), [1] (mumbo method) (probability_below_threshold method), [1], [2] (SparseGaussianProcessRegression method), [1] (SparseVariational method), [1] (TrainableModelStack method), [1] (TrainableProbabilisticModel method), [1] (UpdatablePenalizationFunction method), [1] (VariationalGaussianProcess method), [1] update_acquisition_function() (AcquisitionFunctionBuilder method), [1] (AugmentedExpectedImprovement method), [1], [2] (BatchExpectedImprovement method), [1], [2] (BatchMonteCarloExpectedImprovement method), [1], [2] (BayesianActiveLearningByDisagreement method), [1], [2] (CostWeighting method) (ExpectedConstrainedImprovement method), [1], [2] (ExpectedFeasibility method), [1], [2] (ExpectedHypervolumeImprovement method), [1], [2] (ExpectedImprovement method), [1], [2] (Fantasizer method), [1], [2] (FastConstraintsFeasibility method), [1], [2] (GIBBON method), [1], [2] (GreedyAcquisitionFunctionBuilder method), [1] (GreedyContinuousThompsonSampling method), [1], [2] (HIPPO method), [1], [2] (IntegratedVarianceReduction method), [1], [2] (LocalPenalization method), [1], [2] (MakePositive method), [1], [2] (MinValueEntropySearch method), [1], [2] (MonteCarloAugmentedExpectedImprovement method), [1], [2] (MonteCarloExpectedImprovement method), [1], [2] (MultipleOptimismNegativeLowerConfidenceBound method), [1], [2] (MUMBO method) (NegativeLowerConfidenceBound method), [1], [2] (ParallelContinuousThompsonSampling method), [1], [2] (PredictiveVariance method), [1], [2] (ProbabilityOfFeasibility method), [1], [2] (ProbabilityOfImprovement method), [1] (Reducer method), [1] (SingleModelAcquisitionBuilder method), [1] (SingleModelGreedyAcquisitionBuilder method), [1]

update_fantasized_data() (_fantasized_model method) update_posterior_cache() (GPflowPredictor method), [1] update_trajectory() (DeepEnsembleTrajectorySampler method), [1] (DeepGaussianProcessDecoupledTrajectorySampler method), [1] (FeatureDecompositionTrajectorySampler method) (TrajectorySampler method), [1] upper() (Box property) (DiscreteSearchSpace property) (SearchSpace property) (TaggedProductSearchSpace property) using() (SingleModelAcquisitionBuilder method), [1] (SingleModelGreedyAcquisitionBuilder method), [1] (SingleModelVectorizedAcquisitionBuilder method), [1]

V

V (in module trieste.utils) (in module trieste.utils.misc) VariationalGaussianProcess (class in trieste.models.gpflow) (class in trieste.models.gpflow.models)

VectorizedAcquisitionFunctionBuilder (class in trieste.acquisition) (class in trieste.acquisition.interface) VLMOP2() (in module trieste.objectives) (in module trieste.objectives.multi_objectives) vlmop2() (in module trieste.objectives.multi_objectives)

W

write_summary_data_based_metrics() (in module trieste.models.utils) write_summary_init() (in module trieste.bayesian_optimizer) write_summary_initial_model_fit() (in module trieste.bayesian_optimizer)

write_summary_kernel_parameters() (in module trieste.models.utils) write_summary_likelihood_parameters() (in module trieste.models.utils) write_summary_observations() (in module trieste.bayesian_optimizer) write_summary_query_points() (in module trieste.bayesian_optimizer)

Y

y_min (TrustRegion.State attribute)