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) (dgp_feature_decomposition_trajectory method) (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) (soft_local_penalizer method), [1], [2] (TrajectoryFunctionClass method) (UnitQualityFunction method) (UpdatablePenalizationFunction method), [1] __contains__() (SearchSpace method) __eq__() (Box method) (CategoricalSearchSpace method) (CollectionSearchSpace method) (DiscreteSearchSpace method) (LinearConstraint method) (NonlinearConstraint method) (SearchSpace method) __len__() (Dataset method) __mul__() (SearchSpace method) __post_init__() (Dataset method) __pow__() (SearchSpace method) __repr__() (AskTellOptimizerABC method) (AsynchronousGreedy method), [1] (AsynchronousOptimization method), [1] (AugmentedExpectedImprovement method), [1], [2] (BatchExpectedImprovement method), [1], [2] (BatchHypervolumeSharpeRatioIndicator method), [1] (BatchMonteCarloExpectedHypervolumeImprovement method), [1], [2] (BatchMonteCarloExpectedImprovement method), [1], [2] (BatchTrustRegion method), [1] (BayesianActiveLearningByDisagreement method), [1], [2] (BayesianOptimizer method) (Box method) (CategoricalSearchSpace method) (CollectionSearchSpace method) (DeepEnsemble method) (DeepGaussianProcess method) (DiscreteSearchSpace method) (DiscreteThompsonSampling method), [1] (EfficientGlobalOptimization method), [1] (Err method) (ExpectedConstrainedImprovement method), [1], [2] (ExpectedFeasibility method), [1], [2] (ExpectedHypervolumeImprovement method), [1], [2] (ExpectedImprovement method), [1], [2] (FastConstraintsFeasibility method), [1], [2] (GaussianProcessRegression method) (GreedyContinuousThompsonSampling method), [1], [2] (IntegratedVarianceReduction method), [1], [2] (KerasEnsemble method), [1] (LinearConstraint method) (MakePositive method), [1], [2] (MonteCarloAugmentedExpectedImprovement method), [1], [2] (MonteCarloExpectedImprovement method), [1], [2] (MultipleOptimismNegativeLowerConfidenceBound method), [1], [2] (NegativeLowerConfidenceBound method), [1], [2] (NonlinearConstraint method) (Ok method) (ParallelContinuousThompsonSampling method), [1], [2] (PredictiveVariance method), [1], [2] (ProbabilityOfFeasibility method), [1], [2] (ProbabilityOfImprovement method), [1] (RandomSampling method), [1] (Reducer method) (ReparametrizationSampler method) (SparseGaussianProcessRegression method) (SparseVariational method) (ThompsonSampler method), [1] (TrajectorySampler method) (VariationalGaussianProcess 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) _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_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) (GeneralDiscreteSearchSpace method) (SearchSpace method) (TaggedMultiSearchSpace method) (TaggedProductSearchSpace method) _delta() (batch_expected_improvement method), [1], [2] _DummyTrajectoryFunctionClass (class in trieste.acquisition.function.continuous_thompson_sampling) _ensure_variable_model_data() (GaussianProcessRegression method) (GPflowPredictor method) (SparseGaussianProcessRegression method) (SparseVariational method) (VariationalGaussianProcess method) _fantasized_model (class in trieste.acquisition.function.greedy_batch) _find_non_dominated_points() (BatchHypervolumeSharpeRatioIndicator method), [1] _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] _init_location() (UpdatableTrustRegion 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) (FeatureDecompositionTrajectorySampler method) (RandomFourierFeatureTrajectorySampler method), [1] _propagate_samples_through_level() (MultifidelityNonlinearAutoregressive method) _recalculate_inducing_points() (DPPInducingPointSelector method) (InducingPointSelector method), [1] (KMeansInducingPointSelector method), [1] (RandomSubSampleInducingPointSelector method), [1] (UniformInducingPointSelector method), [1] _reduce() (Product method) (Reducer method) (Sum method) _restore_leading_dim() (in module trieste.acquisition.function.greedy_batch) _sample_feasible_loop() (Box method) _sample_mean_and_var_at_fidelities() (MultifidelityNonlinearAutoregressive method) _standard_normal_cdf_and_inverse_cdf() (MultivariateNormalCDF method), [1] _update_domain() (HypercubeTrustRegion method), [1] (SingleObjectiveTrustRegionBox method), [1] (SingleObjectiveTrustRegionDiscrete method), [1] (TREGOBox method), [1] _update_expected_improvement_fn() (ExpectedConstrainedHypervolumeImprovement method), [1], [2] (ExpectedConstrainedImprovement method), [1], [2] _update_inducing_variables() (SparseGaussianProcessRegression method) (SparseVariational method)

A

Ackley5 (in module trieste.objectives) (in module trieste.objectives.single_objectives) ackley_5() (in module trieste.objectives.single_objectives) acquire() (AcquisitionRule method), [1] (AsynchronousGreedy method), [1] (AsynchronousOptimization method), [1] (BatchHypervolumeSharpeRatioIndicator method), [1] (BatchTrustRegion method), [1] (BatchTrustRegionBox method), [1] (BatchTrustRegionProduct method), [1] (DiscreteThompsonSampling method), [1] (EfficientGlobalOptimization method), [1] (RandomSampling method), [1] acquire_single() (AcquisitionRule method), [1] acquisition_function (EfficientGlobalOptimization property), [1] acquisition_space (BatchTrustRegionState property) acquisition_state (AskTellOptimizerABC property) (FrozenRecord property) (Record attribute) 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) (class in trieste.acquisition.rule) acquisitions (Reducer property) add_fidelity_column() (in module trieste.data) add_pending_points() (AsynchronousRuleState method) ask() (AskTellOptimizerABC method) AskTellOptimizer (class in trieste.ask_tell_optimization) AskTellOptimizerABC (class in trieste.ask_tell_optimization) AskTellOptimizerNoTraining (class in trieste.ask_tell_optimization) AskTellOptimizerState (class in trieste.ask_tell_optimization) assert_data_is_compatible() (in module trieste.models.gpflow) astuple() (Dataset method) (OptimizationResult method) AsynchronousGreedy (class in trieste.acquisition) (class in trieste.acquisition.rule) AsynchronousOptimization (class in trieste.acquisition) (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) (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) BatchTrustRegion (class in trieste.acquisition) (class in trieste.acquisition.rule) BatchTrustRegionBox (class in trieste.acquisition) (class in trieste.acquisition.rule) BatchTrustRegionProduct (class in trieste.acquisition) (class in trieste.acquisition.rule) BatchTrustRegionState (class in trieste.acquisition.rule)

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

calculate_inducing_points() (InducingPointSelector method), [1] call() (ResampleableDecoupledFeatureFunctions method) (ResampleableRandomFourierFeatureFunctions method) cast_encoder() (in module trieste.space) CategoricalSearchSpace (class in trieste.space) check_and_extract_fidelity_query_points() (in module trieste.data) check_objective_shapes() (in module trieste.objectives.single_objectives) check_optimizer() (in module trieste.models.gpflow) CLASSIFICATION_KERNEL_VARIANCE (in module trieste.models.gpflow.builders) CLASSIFICATION_KERNEL_VARIANCE_NOISE_FREE (in module trieste.models.gpflow.builders) CollectionSearchSpace (class in trieste.space) compile (Optimizer attribute) conditional_predict_f() (FastUpdateModel method) conditional_predict_f_encoded() (GaussianProcessRegression method) conditional_predict_f_sample() (FastUpdateModel method) conditional_predict_f_sample_encoded() (GaussianProcessRegression method) conditional_predict_joint() (FastUpdateModel method) conditional_predict_joint_encoded() (GaussianProcessRegression method) conditional_predict_y() (FastUpdateModel method) conditional_predict_y_encoded() (GaussianProcessRegression method) 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) constraints (Box property) (SearchSpace property) constraints_residuals() (Box method) (SearchSpace method) contains() (SearchSpace method) continue_optimization() (BayesianOptimizer method) CostWeighting (class in trieste.acquisition.function.entropy) covariance_between_points_encoded() (GaussianProcessRegression method) (SparseGaussianProcessRegression method) (SparseVariational method) (VariationalGaussianProcess method) covariance_with_top_fidelity() (MultifidelityAutoregressive method) (MultifidelityNonlinearAutoregressive method) (SupportsCovarianceWithTopFidelity method) create_loss() (BatchOptimizer method) (Optimizer method) create_loss_function() (in module trieste.models.optimizer) create_posterior_cache() (GPflowPredictor method)

D

dataset (AskTellOptimizerABC property) Dataset (class in trieste.data) dataset (FrozenRecord property) (Record property) dataset_builder (BatchOptimizer attribute) dataset_len() (AskTellOptimizerABC class method) datasets (AskTellOptimizerABC property) (FrozenRecord property) (Record attribute) 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) DeepEnsembleModel (class in trieste.models.keras) DeepEnsembleTrajectorySampler (class in trieste.models.keras) (class in trieste.models.keras.sampler) DeepGaussianProcess (class in trieste.models.gpflux) DeepGaussianProcessDecoupledLayer (class in trieste.models.gpflux) DeepGaussianProcessDecoupledTrajectorySampler (class in trieste.models.gpflux) DeepGaussianProcessReparamSampler (class in trieste.models.gpflux) DEFAULT_DTYPE (in module trieste.space) default_summary_filter() (in module trieste.logging)

DEFAULTS (class in trieste.utils) dgp_feature_decomposition_trajectory (class in trieste.models.gpflux) dim (ObjectiveTestProblem property), [1] dimension (Box property) (GeneralDiscreteSearchSpace property) (SearchSpace property) (TaggedMultiSearchSpace property) (TaggedProductSearchSpace property) DiscreteSearchSpace (class in trieste.space) DiscreteThompsonSampling (class in trieste.acquisition) (class in trieste.acquisition.rule) discretize() (SearchSpace method) (TaggedMultiSearchSpace 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) dtype (DeepEnsemble property) (DeepEnsembleModel property)

E

EarlyStopCallback (in module trieste.bayesian_optimizer) EfficientGlobalOptimization (class in trieste.acquisition) (class in trieste.acquisition.rule) encoder (GPflowPredictor property) (GPfluxPredictor property) (KerasPredictor property) EncoderFunction (in module trieste.space) ensemble_distributions() (DeepEnsemble method) (DeepEnsembleModel method) ensemble_size (DeepEnsemble property) (DeepEnsembleModel property) (KerasEnsemble property), [1] eps (TREGOBox property), [1] Err (class in trieste.utils) 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) 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_datasets() (AcquisitionRule method), [1] (BatchTrustRegion method), [1] filter_finite() (in module trieste.observer) final_result (OptimizationResult attribute) find_best_model_initialization() (GaussianProcessRegression method) fit_args (KerasOptimizer attribute) fix_subspace() (TaggedProductSearchSpace method) FixedPointTrustRegionDiscrete (class in trieste.acquisition) (class in trieste.acquisition.rule) flatten_leading_dims() (in module trieste.utils) from_path() (OptimizationResult class method) from_record() (AskTellOptimizerABC class method) from_state() (AskTellOptimizerABC 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) gen_pareto_optimal_points (MultiObjectiveTestProblem attribute), [1] GeneralDiscreteSearchSpace (class in trieste.space) generate_continuous_optimizer() (in module trieste.acquisition.optimizer) generate_initial_points() (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_bounds_of_optimization() (in module trieste.acquisition.optimizer) get_current_name_scope() (in module trieste.logging) get_dataset_for_fidelity() (in module trieste.data) get_dataset_min() (HypercubeTrustRegion method), [1] (TREGOBox method), [1] (TURBOBox method), [1] get_datasets_filter_mask() (TREGOBox method), [1] (UpdatableTrustRegion method), [1] (UpdatableTrustRegionProduct method), [1] get_inducing_variables() (SparseGaussianProcessRegression method) (SparseVariational method) (VariationalGaussianProcess method) get_initialize_subspaces_mask() (BatchTrustRegion method), [1] (BatchTrustRegionBox method), [1] (BatchTrustRegionProduct method), [1] get_internal_data() (GaussianProcessRegression method) (SparseGaussianProcessRegression method) get_kernel() (_fantasized_model method) (GPflowPredictor method) get_last_optimization_result() (in module trieste.models.utils) get_mean_function() (GPflowPredictor method) get_min_value_samples_on_top_fidelity() (MUMBO method) get_module_with_variables() (in module trieste.models.utils) get_observation_noise() (_fantasized_model method) (GPflowPredictor method) (GPfluxPredictor 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() (CollectionSearchSpace method) get_subspace_component() (TaggedProductSearchSpace method) get_summary_filter() (in module trieste.logging) get_tensor_spec_from_data() (in module trieste.models.keras) get_tensorboard_writer() (in module trieste.logging) get_trajectory() (DeepEnsembleTrajectorySampler method), [1] (DeepGaussianProcessDecoupledTrajectorySampler method) (FeatureDecompositionTrajectorySampler method) (TrajectorySampler method) get_values_min() (HypercubeTrustRegion 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) global_search_space (UpdatableTrustRegion property), [1] (UpdatableTrustRegionBox property), [1] (UpdatableTrustRegionDiscrete property), [1] (UpdatableTrustRegionProduct property), [1] GPflowPredictor (class in trieste.models.gpflow) GPfluxPredictor (class in trieste.models.gpflux) 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_bounds (Box property) (CategoricalSearchSpace property) (CollectionSearchSpace property) (DiscreteSearchSpace property) (SearchSpace property)

has_constraints (Box property) (SearchSpace property) has_pending_points (AsynchronousRuleState property) HasOneHotEncoder (class in trieste.space) 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) HypercubeTrustRegion (class in trieste.acquisition) (class in trieste.acquisition.rule) 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) initialize() (FixedPointTrustRegionDiscrete method), [1] (HypercubeTrustRegion method), [1] (TREGOBox method), [1] (TURBOBox method), [1] (UpdatableSearchSpace method), [1] (UpdatableTrustRegionProduct method), [1] initialize_subspaces() (BatchTrustRegionBox method), [1] (BatchTrustRegionProduct method), [1] (LocalDatasetsAcquisitionRule method), [1] InitialPointSampler (in module trieste.acquisition.optimizer)

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 (OptimizationResult property) (Result property) is_feasible() (Box method) (SearchSpace method) is_ok (Err property) (Ok property) (OptimizationResult property) (Result property)

J

jit() (in module trieste.utils)

JITTER (DEFAULTS attribute)

K

K (in module trieste.utils) 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) 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

levy() (in module trieste.objectives.single_objectives) Levy8 (in module trieste.objectives) (in module trieste.objectives.single_objectives) levy_8() (in module trieste.objectives.single_objectives) LIKELIHOOD_VARIANCE (in module trieste.models.gpflux.builders) LinearConstraint (class in trieste.space) load() (FrozenRecord method) loaded_history (OptimizationResult property) local_data_ixs (AskTellOptimizerABC property) (AskTellOptimizerState attribute) local_data_len (AskTellOptimizerABC property) (AskTellOptimizerState attribute) local_penalizer (class in trieste.acquisition.function.greedy_batch) LocalDatasetsAcquisitionRule (class in trieste.acquisition) (class in trieste.acquisition.rule) LocalPenalization (class in trieste.acquisition) (class in trieste.acquisition.function) (class in trieste.acquisition.function.greedy_batch) location (UpdatableTrustRegion property), [1] (UpdatableTrustRegionBox property), [1] (UpdatableTrustRegionDiscrete property), [1] (UpdatableTrustRegionProduct property), [1]

log() (_fantasized_model method) (DeepEnsemble method) (DeepGaussianProcess method) (GPflowPredictor method) (KerasPredictor method) (ModelStack method) (MultifidelityAutoregressive method) (MultifidelityNonlinearAutoregressive method) (ProbabilisticModel method) 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) (CategoricalSearchSpace property) (DiscreteSearchSpace property) (SearchSpace property) (TaggedMultiSearchSpace 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) max_iter (BatchOptimizer attribute) MAX_NUM_INDUCING_POINTS (in module trieste.models.gpflow.builders) (in module trieste.models.gpflux.builders) maybe_initialize_subspaces() (BatchTrustRegion method), [1] 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_batch_observer() (in module trieste.objectives.utils) mk_multi_observer() (in module trieste.objectives) (in module trieste.objectives.utils) mk_observer() (in module trieste.objectives) (in module trieste.objectives.utils) model (AskTellOptimizerABC property) (DeepEnsemble property) (FrozenRecord property) (GaussianProcessRegression property) (GPflowPredictor property) (KerasEnsemble property), [1] (KerasPredictor property) (Record property) (SparseGaussianProcessRegression property) (SparseVariational property) (VariationalGaussianProcess property) model_gpflux (DeepGaussianProcess property) (GPfluxPredictor property) model_keras (DeepGaussianProcess property) (GPfluxPredictor property) ModelBasedImprovementQualityFunction (class in trieste.models.gpflow.inducing_point_selectors) models (AskTellOptimizerABC property) (FrozenRecord property) (Record attribute) ModelStack (class in trieste.models) module trieste trieste.acquisition 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.ask_tell_optimization trieste.bayesian_optimizer trieste.data trieste.logging trieste.models trieste.models.gpflow trieste.models.gpflow.builders trieste.models.gpflow.inducing_point_selectors trieste.models.gpflow.optimizer trieste.models.gpflow.sampler trieste.models.gpflux trieste.models.gpflux.builders trieste.models.keras trieste.models.keras.architectures trieste.models.keras.builders trieste.models.keras.sampler 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.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) MultifidelityNonlinearAutoregressive (class in trieste.models.gpflow) 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) 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 (MultifidelityAutoregressive property) (MultifidelityNonlinearAutoregressive property) (SingleObjectiveMultifidelityTestProblem attribute), [1] (SupportsCovarianceWithTopFidelity property)

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_local_datasets (BatchTrustRegion property), [1] (LocalDatasetsAcquisitionRule property), [1] num_outputs (DeepEnsemble property) (DeepEnsembleModel property) 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] ObjectiveTestFunction (in module trieste.objectives.single_objectives) 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) one_hot_encoded_space() (in module trieste.space) one_hot_encoder (CategoricalSearchSpace property) (HasOneHotEncoder property) (TaggedProductSearchSpace property) one_hot_encoder() (in module trieste.space) OptimizationResult (class in trieste.bayesian_optimizer) optimize() (BatchOptimizer method) (BayesianOptimizer method) (MultifidelityAutoregressive method) (MultifidelityNonlinearAutoregressive method) (Optimizer method) (TrainableModelStack method) (TrainableProbabilisticModel method)

optimize_discrete() (in module trieste.acquisition.optimizer) optimize_encoded() (DeepEnsemble method) (DeepGaussianProcess method) (GaussianProcessRegression method) (SparseGaussianProcessRegression method) (SparseVariational method) (VariationalGaussianProcess method) optimize_model_and_save_result() (in module trieste.models.utils) Optimizer (class in trieste.models.optimizer) optimizer (GPflowPredictor property) (GPfluxPredictor property) (KerasOptimizer attribute) (KerasPredictor property) (Optimizer attribute) 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) points (GeneralDiscreteSearchSpace property) predict() (_fantasized_model method) (ModelStack method) (MultifidelityAutoregressive method) (MultifidelityNonlinearAutoregressive method) (ProbabilisticModel method) predict_encoded() (DeepEnsemble method) (GPflowPredictor method) (GPfluxPredictor method) (KerasPredictor method) predict_ensemble() (DeepEnsemble method) predict_joint() (_fantasized_model method) predict_joint_encoded() (GPflowPredictor method) predict_y() (_fantasized_model method) (MultifidelityAutoregressive method) (MultifidelityNonlinearAutoregressive method) predict_y_encoded() (GaussianProcessRegression method) (GPflowPredictor method) (GPfluxPredictor method) (SparseGaussianProcessRegression method) (SparseVariational method) (VariationalGaussianProcess method) 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) 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) (SingleModelAcquisitionBuilder method), [1] (SingleModelGreedyAcquisitionBuilder method), [1]

prepare_dataset() (DeepEnsemble method) prepare_default_non_dominated_partition_bounds() (in module trieste.acquisition.multi_objective) (in module trieste.acquisition.multi_objective.partition) prepare_query_points() (DeepEnsemble method) ProbabilisticModel (class in trieste.models) ProbabilisticModelType (in module trieste.ask_tell_optimization) (in module trieste.bayesian_optimizer) (in module trieste.models) 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) product() (Box method) (CategoricalSearchSpace method) (DiscreteSearchSpace method) (SearchSpace method) (TaggedMultiSearchSpace 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) RandomSampling (class in trieste.acquisition) (class in trieste.acquisition.rule) RandomSubSampleInducingPointSelector (class in trieste.models.gpflow) (class in trieste.models.gpflow.inducing_point_selectors) record (AskTellOptimizerState attribute) Record (class in trieste.bayesian_optimizer) Reducer (class in trieste.acquisition) region_index (UpdatableTrustRegionProduct property), [1] regions (UpdatableTrustRegionProduct property), [1] remove_points() (AsynchronousRuleState method) reparam_sampler() (DeepGaussianProcess method) (GPflowPredictor method) ReparametrizationSampler (class in trieste.models) requires_initialization (HypercubeTrustRegion property), [1] (UpdatableSearchSpace property), [1] (UpdatableTrustRegionProduct property), [1] resample() (deep_ensemble_trajectory method), [1] (DeepGaussianProcessDecoupledLayer method) (dgp_feature_decomposition_trajectory method) (feature_decomposition_trajectory method), [1] (ResampleableDecoupledDeepGaussianProcessFeatureFunctions method) (ResampleableRandomFourierFeatureFunctions method)

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

S

S (in module trieste.types) sample() (_fantasized_model method) (BatchReparametrizationSampler method), [1] (Box method) (DeepGaussianProcessReparamSampler method) (ExactThompsonSampler method), [1] (GeneralDiscreteSearchSpace method) (GumbelSampler method), [1] (IndependentReparametrizationSampler method), [1] (ModelStack method) (MultifidelityAutoregressive method) (MultifidelityNonlinearAutoregressive method) (ProbabilisticModel method) (ReparametrizationSampler method) (SearchSpace method) (TaggedMultiSearchSpace method) (TaggedProductSearchSpace method) (ThompsonSampler method), [1] (ThompsonSamplerFromTrajectory method), [1] sample_diverse_subset() (Pareto method), [1] sample_encoded() (DeepEnsemble method) (DeepGaussianProcess method) (GPflowPredictor method) (GPfluxPredictor method) (KerasPredictor method) sample_ensemble() (DeepEnsemble method) sample_feasible() (Box method) sample_from_space() (in module trieste.acquisition.optimizer) sample_halton() (Box method) sample_halton_feasible() (Box method) sample_min_value (ThompsonSampler property), [1] sample_sobol() (Box method) sample_sobol_feasible() (Box method) sample_with_replacement() (in module trieste.models.keras) 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_in_region() (UpdatableTrustRegion method), [1] 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) 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) 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) SingleObjectiveTrustRegionBox (class in trieste.acquisition) (class in trieste.acquisition.rule) SingleObjectiveTrustRegionDiscrete (class in trieste.acquisition) (class in trieste.acquisition.rule) 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) SparseVariational (class in trieste.models.gpflow) split_dataset_by_fidelity() (in module trieste.data) squeeze_hyperparameters() (in module trieste.models.gpflow) 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_dimension (CollectionSearchSpace property) subspace_lower (CollectionSearchSpace property) subspace_sample() (CollectionSearchSpace method) subspace_tags (BatchTrustRegionState attribute) (CollectionSearchSpace property) subspace_upper (CollectionSearchSpace property) subspaces (BatchTrustRegionState attribute) Sum (class in trieste.acquisition) SupportsCovarianceObservationNoise (class in trieste.acquisition.function.entropy) SupportsCovarianceObservationNoiseTrajectory (class in trieste.acquisition.function.entropy) SupportsCovarianceWithTopFidelity (class in trieste.models) SupportsCovarianceWithTopFidelityPredictY (class in trieste.acquisition.function.entropy)

T

T (in module trieste.acquisition.rule) (in module trieste.types) Tag (in module trieste.types) TaggedMultiSearchSpace (class in trieste.space) TaggedProductSearchSpace (class in trieste.space) tags (CategoricalSearchSpace property) tell() (AskTellOptimizerABC 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) to_numpy() (in module trieste.utils) to_record() (AskTellOptimizerABC method) to_result() (AskTellOptimizerABC method) to_state() (AskTellOptimizerABC method) to_tags() (CategoricalSearchSpace method) TrainableModelStack (class in trieste.models) TrainableProbabilisticModel (class in trieste.models) TrainableProbabilisticModelType (in module trieste.ask_tell_optimization) (in module trieste.bayesian_optimizer) TrainingData (in module trieste.models.optimizer) trajectory_sampler() (DeepEnsemble method) (DeepGaussianProcess method) (GaussianProcessRegression method) (SparseGaussianProcessRegression method) (SparseVariational method) (VariationalGaussianProcess method) TrajectoryFunction (in module trieste.models) TrajectoryFunctionClass (class in trieste.models) TrajectorySampler (class in trieste.models) TREGOBox (class in trieste.acquisition) (class in trieste.acquisition.rule) 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.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.ask_tell_optimization module trieste.bayesian_optimizer module trieste.data 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.optimizer module trieste.models.gpflow.sampler module trieste.models.gpflux module trieste.models.gpflux.builders module trieste.models.keras module trieste.models.keras.architectures module trieste.models.keras.builders module trieste.models.keras.sampler 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.version module 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) TURBOBox (class in trieste.acquisition) (class in trieste.acquisition.rule)

U

U (in module trieste.utils) 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) (Ok method) (Result method) UpdatablePenalizationFunction (class in trieste.acquisition) (class in trieste.acquisition.interface) UpdatableSearchSpace (class in trieste.acquisition) (class in trieste.acquisition.rule) UpdatableTrustRegion (class in trieste.acquisition) (class in trieste.acquisition.rule) UpdatableTrustRegionBox (class in trieste.acquisition) (class in trieste.acquisition.rule) UpdatableTrustRegionDiscrete (class in trieste.acquisition) (class in trieste.acquisition.rule) UpdatableTrustRegionProduct (class in trieste.acquisition) (class in trieste.acquisition.rule) UpdatableTrustRegionType (in module trieste.acquisition.rule) update() (augmented_expected_improvement method), [1], [2] (batch_expected_improvement method), [1], [2] (batch_monte_carlo_expected_improvement method) (DeepGaussianProcessDecoupledLayer method) (dgp_feature_decomposition_trajectory method) (expected_hv_improvement method), [1], [2] (expected_improvement method), [1], [2] (feature_decomposition_trajectory method), [1] (FixedPointTrustRegionDiscrete method), [1] (gibbon_quality_term method), [1], [2] (gibbon_repulsion_term method), [1], [2] (hippo_penalizer method) (HypercubeTrustRegion method), [1] (local_penalizer method) (min_value_entropy_search method), [1], [2] (monte_carlo_augmented_expected_improvement method) (monte_carlo_expected_improvement method) (MultifidelityAutoregressive method) (MultifidelityNonlinearAutoregressive method) (mumbo method) (probability_below_threshold method), [1], [2] (TrainableModelStack method) (TrainableProbabilisticModel method) (TURBOBox method), [1] (UpdatablePenalizationFunction method), [1] (UpdatableSearchSpace method), [1] (UpdatableTrustRegionProduct 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) (SingleModelAcquisitionBuilder method), [1] (SingleModelGreedyAcquisitionBuilder method), [1]

update_encoded() (DeepEnsemble method) (DeepGaussianProcess method) (GaussianProcessRegression method) (SparseGaussianProcessRegression method) (SparseVariational method) (VariationalGaussianProcess method) update_fantasized_data() (_fantasized_model method) update_model() (AskTellOptimizer method) (AskTellOptimizerABC method) (AskTellOptimizerNoTraining method) update_posterior_cache() (GPflowPredictor method) update_trajectory() (DeepEnsembleTrajectorySampler method), [1] (DeepGaussianProcessDecoupledTrajectorySampler method) (FeatureDecompositionTrajectorySampler method) (TrajectorySampler method) upper (Box property) (CategoricalSearchSpace property) (DiscreteSearchSpace property) (SearchSpace property) (TaggedMultiSearchSpace property) (TaggedProductSearchSpace property) using() (SingleModelAcquisitionBuilder method), [1] (SingleModelGreedyAcquisitionBuilder method), [1] (SingleModelVectorizedAcquisitionBuilder method), [1]

V

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

with_input_active_dims() (UpdatableTrustRegion method), [1] 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)