Trieste
API reference
Tutorials
0.12.0
GitHub
Index
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D
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E
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F
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G
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H
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I
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K
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M
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P
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Q
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T
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V
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Y
_
__add__() (Dataset method)
__call__() (AcquisitionFunctionClass method)
,
[1]
(augmented_expected_improvement method)
,
[1]
,
[2]
(batch_monte_carlo_expected_improvement method)
(bayesian_active_learning_by_disagreement method)
,
[1]
,
[2]
(deep_ensemble_trajectory method)
(DeepGaussianProcessDecoupledLayer method)
(dgp_feature_decomposition_trajectory method)
(expected_hv_improvement method)
,
[1]
,
[2]
(expected_improvement method)
,
[1]
,
[2]
(feature_decomposition_trajectory method)
,
[1]
(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]
(monte_carlo_augmented_expected_improvement method)
(monte_carlo_expected_improvement method)
(multiple_optimism_lower_confidence_bound method)
,
[1]
,
[2]
(ResampleableDecoupledDeepGaussianProcessFeatureFunctions method)
(ResampleableDecoupledFeatureFunctions method)
(soft_local_penalizer method)
,
[1]
,
[2]
(TrajectoryFunctionClass method)
,
[1]
(UpdatablePenalizationFunction method)
,
[1]
__contains__() (Box method)
(DiscreteSearchSpace method)
(SearchSpace method)
(TaggedProductSearchSpace method)
__eq__() (Box method)
(DiscreteSearchSpace 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]
_compute_kernel_blocks() (in module trieste.models.gpflow.utils)
_covariance_between_points_for_variational_models() (in module trieste.models.gpflow.utils)
_fantasized_model (class in trieste.acquisition.function.greedy_batch)
_generate_fantasized_data() (in module trieste.acquisition.function.greedy_batch)
_get_leading_dim_and_flatten() (in module trieste.acquisition.function.greedy_batch)
_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]
_recalculate_inducing_points() (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)
_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)
_write_summary_init() (BayesianOptimizer method)
_write_summary_step() (BayesianOptimizer method)
A
ackley_5() (in module trieste.objectives)
(in module trieste.objectives.single_objectives)
ACKLEY_5_MINIMIZER (in module trieste.objectives)
(in module trieste.objectives.single_objectives)
ACKLEY_5_MINIMUM (in module trieste.objectives)
(in module trieste.objectives.single_objectives)
ACKLEY_5_SEARCH_SPACE (in module trieste.objectives)
(in module trieste.objectives.single_objectives)
acquire() (AcquisitionRule method)
(AsynchronousGreedy method)
(AsynchronousOptimization method)
(DiscreteThompsonSampling method)
(EfficientGlobalOptimization method)
(RandomSampling method)
(TrustRegion method)
acquire_single() (AcquisitionRule method)
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_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_monte_carlo_expected_improvement (class in trieste.acquisition.function.function)
batch_size (BatchOptimizer attribute)
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() (DTLZ property)
(MultiObjectiveTestProblem property)
Box (class in trieste.space)
branin() (in module trieste.objectives)
(in module trieste.objectives.single_objectives)
BRANIN_MINIMIZERS (in module trieste.objectives)
(in module trieste.objectives.single_objectives)
BRANIN_MINIMUM (in module trieste.objectives)
(in module trieste.objectives.single_objectives)
BRANIN_SEARCH_SPACE (in module trieste.objectives)
(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_model() (ModelConfig method)
,
[1]
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_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]
connect_layers() (GaussianNetwork method)
,
[1]
(KerasEnsembleNetwork method)
,
[1]
constraint() (Simulation static method)
covariance_between_points() (GaussianProcessRegression method)
,
[1]
(SparseGaussianProcessRegression method)
,
[1]
(SparseVariational method)
,
[1]
(SupportsCovarianceBetweenPoints method)
(VariationalGaussianProcess 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_model() (in module trieste.models)
(in module trieste.models.config)
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.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.sampler)
DeepGaussianProcessDecoupledTrajectorySampler (class in trieste.models.gpflux.sampler)
DeepGaussianProcessReparamSampler (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.sampler)
dim() (DTLZ property)
(MultiObjectiveTestProblem property)
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)
DTLZ (class in trieste.objectives.multi_objectives)
DTLZ1 (class in trieste.objectives.multi_objectives)
dtlz1() (in module trieste.objectives.multi_objectives)
DTLZ2 (class in trieste.objectives.multi_objectives)
dtlz2() (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)
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)
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() (DTLZ1 method)
(DTLZ2 method)
(MultiObjectiveTestProblem method)
(VLMOP2 method)
generate_continuous_optimizer() (in module trieste.acquisition.optimizer)
generate_random_search_optimizer() (in module trieste.acquisition.optimizer)
get_bounds_of_box_relaxation_around_point() (in module trieste.acquisition.optimizer)
get_current_name_scope() (in module trieste.logging)
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_model_wrapper() (ModelRegistry class method)
,
[1]
get_observation_noise() (_fantasized_model method)
(GPflowPredictor method)
,
[1]
(GPfluxPredictor method)
,
[1]
(SupportsGetObservationNoise method)
get_optimizer_wrapper() (ModelRegistry class method)
,
[1]
get_reference_point() (in module trieste.acquisition.multi_objective)
(in module trieste.acquisition.multi_objective.pareto)
get_registered_models() (ModelRegistry class method)
,
[1]
get_registered_optimizers() (ModelRegistry class 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)
(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)
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)
(in module trieste.objectives.single_objectives)
GRAMACY_LEE_MINIMIZER (in module trieste.objectives)
(in module trieste.objectives.single_objectives)
GRAMACY_LEE_MINIMUM (in module trieste.objectives)
(in module trieste.objectives.single_objectives)
GRAMACY_LEE_SEARCH_SPACE (in module trieste.objectives)
(in module trieste.objectives.single_objectives)
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)
hartmann_3() (in module trieste.objectives)
(in module trieste.objectives.single_objectives)
HARTMANN_3_MINIMIZER (in module trieste.objectives)
(in module trieste.objectives.single_objectives)
HARTMANN_3_MINIMUM (in module trieste.objectives)
(in module trieste.objectives.single_objectives)
HARTMANN_3_SEARCH_SPACE (in module trieste.objectives)
(in module trieste.objectives.single_objectives)
hartmann_6() (in module trieste.objectives)
(in module trieste.objectives.single_objectives)
HARTMANN_6_MINIMIZER (in module trieste.objectives)
(in module trieste.objectives.single_objectives)
HARTMANN_6_MINIMUM (in module trieste.objectives)
(in module trieste.objectives.single_objectives)
HARTMANN_6_SEARCH_SPACE (in module trieste.objectives)
(in module trieste.objectives.single_objectives)
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_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)
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)
(GPflowPredictor method)
,
[1]
(ModelStack method)
,
[1]
(ProbabilisticModel method)
,
[1]
logarithmic_goldstein_price() (in module trieste.objectives)
(in module trieste.objectives.single_objectives)
LOGARITHMIC_GOLDSTEIN_PRICE_MINIMIZER (in module trieste.objectives)
(in module trieste.objectives.single_objectives)
LOGARITHMIC_GOLDSTEIN_PRICE_MINIMUM (in module trieste.objectives)
(in module trieste.objectives.single_objectives)
LOGARITHMIC_GOLDSTEIN_PRICE_SEARCH_SPACE (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)
(in module trieste.objectives.single_objectives)
michalewicz_10() (in module trieste.objectives)
(in module trieste.objectives.single_objectives)
MICHALEWICZ_10_MINIMIZER (in module trieste.objectives)
(in module trieste.objectives.single_objectives)
MICHALEWICZ_10_MINIMUM (in module trieste.objectives)
(in module trieste.objectives.single_objectives)
MICHALEWICZ_10_SEARCH_SPACE (in module trieste.objectives)
(in module trieste.objectives.single_objectives)
michalewicz_2() (in module trieste.objectives)
(in module trieste.objectives.single_objectives)
MICHALEWICZ_2_MINIMIZER (in module trieste.objectives)
(in module trieste.objectives.single_objectives)
MICHALEWICZ_2_MINIMUM (in module trieste.objectives)
(in module trieste.objectives.single_objectives)
MICHALEWICZ_2_SEARCH_SPACE (in module trieste.objectives)
(in module trieste.objectives.single_objectives)
michalewicz_5() (in module trieste.objectives)
(in module trieste.objectives.single_objectives)
MICHALEWICZ_5_MINIMIZER (in module trieste.objectives)
(in module trieste.objectives.single_objectives)
MICHALEWICZ_5_MINIMUM (in module trieste.objectives)
(in module trieste.objectives.single_objectives)
MICHALEWICZ_5_SEARCH_SPACE (in module trieste.objectives)
(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)
MinValueEntropySearch (class in trieste.acquisition)
(class in trieste.acquisition.function)
(class in trieste.acquisition.function.entropy)
mk_observer() (in module trieste.objectives.utils)
model (ModelConfig attribute)
,
[1]
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_args (ModelConfig attribute)
,
[1]
model_gpflux() (DeepGaussianProcess property)
,
[1]
(GPfluxPredictor property)
,
[1]
model_keras() (DeepGaussianProcess property)
,
[1]
(GPfluxPredictor property)
,
[1]
ModelConfig (class in trieste.models)
(class in trieste.models.config)
ModelConfigType (in module trieste.models.config)
ModelDictConfig (in module trieste.models.config)
ModelRegistry (class in trieste.models)
(class in trieste.models.config)
models (Record attribute)
models() (AskTellOptimizer property)
(FrozenRecord property)
ModelSpec (in module trieste.models)
(in module trieste.models.config)
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.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.config
trieste.models.gpflow
trieste.models.gpflow.builders
trieste.models.gpflow.config
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.config
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.config
trieste.models.keras.interface
trieste.models.keras.models
trieste.models.keras.sampler
trieste.models.keras.utils
trieste.models.optimizer
trieste.objectives
trieste.objectives.multi_objectives
trieste.objectives.single_objectives
trieste.objectives.utils
trieste.observer
trieste.space
trieste.types
trieste.utils
trieste.utils.misc
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)
MultiObjectiveTestProblem (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)
MultivariateNormalTriL (class in trieste.models.keras.architectures)
N
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)
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]
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() (DTLZ1 method)
(DTLZ2 method)
(MultiObjectiveTestProblem method)
(Simulation static method)
(VLMOP2 method)
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]
(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)
(ModelConfig attribute)
,
[1]
(Optimizer attribute)
optimizer() (GPflowPredictor property)
,
[1]
(GPfluxPredictor property)
,
[1]
(KerasPredictor property)
,
[1]
optimizer_args (ModelConfig attribute)
,
[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)
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]
(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]
(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]
(BatchMonteCarloExpectedHypervolumeImprovement method)
,
[1]
,
[2]
(BatchMonteCarloExpectedImprovement method)
,
[1]
,
[2]
(BayesianActiveLearningByDisagreement method)
,
[1]
,
[2]
(ExpectedConstrainedImprovement method)
,
[1]
,
[2]
(ExpectedFeasibility method)
,
[1]
,
[2]
(ExpectedHypervolumeImprovement method)
,
[1]
,
[2]
(ExpectedImprovement method)
,
[1]
,
[2]
(Fantasizer 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]
(NegativeLowerConfidenceBound method)
,
[1]
,
[2]
(ParallelContinuousThompsonSampling method)
,
[1]
,
[2]
(PredictiveVariance method)
,
[1]
,
[2]
(ProbabilityOfFeasibility method)
,
[1]
,
[2]
(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_of_feasibility() (in module trieste.acquisition)
(in module trieste.acquisition.function)
(in module trieste.acquisition.function.function)
ProbabilityOfFeasibility (class in trieste.acquisition)
(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
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)
register_model() (ModelRegistry class method)
,
[1]
register_optimizer() (ModelRegistry class method)
,
[1]
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)
(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)
,
[1]
ResampleableDecoupledDeepGaussianProcessFeatureFunctions (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]
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)
rosenbrock_4() (in module trieste.objectives)
(in module trieste.objectives.single_objectives)
ROSENBROCK_4_MINIMIZER (in module trieste.objectives)
(in module trieste.objectives.single_objectives)
ROSENBROCK_4_MINIMUM (in module trieste.objectives)
(in module trieste.objectives.single_objectives)
ROSENBROCK_4_SEARCH_SPACE (in module trieste.objectives)
(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)
(DiscreteSearchSpace method)
(ExactThompsonSampler method)
,
[1]
(GPflowPredictor method)
,
[1]
(GPfluxPredictor method)
,
[1]
(GumbelSampler method)
,
[1]
(IndependentReparametrizationSampler method)
,
[1]
(KerasPredictor method)
,
[1]
(ModelStack method)
,
[1]
(ProbabilisticModel method)
,
[1]
(ReparametrizationSampler method)
,
[1]
(SearchSpace method)
(TaggedProductSearchSpace method)
(ThompsonSampler method)
,
[1]
(ThompsonSamplerFromTrajectory method)
,
[1]
sample_ensemble() (DeepEnsemble method)
,
[1]
sample_halton() (Box method)
sample_model_index() (in module trieste.models.keras.utils)
sample_sobol() (Box method)
sample_with_replacement() (in module trieste.models.keras)
(in module trieste.models.keras.utils)
save() (OptimizationResult method)
(Record method)
save_result() (OptimizationResult method)
scalar() (in module trieste.logging)
scaled_branin() (in module trieste.objectives)
(in module trieste.objectives.single_objectives)
SCALED_BRANIN_MINIMUM (in module trieste.objectives)
(in module trieste.objectives.single_objectives)
ScipyLbfgsBGreenlet (class in trieste.acquisition.optimizer)
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)
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)
shekel_4() (in module trieste.objectives)
(in module trieste.objectives.single_objectives)
SHEKEL_4_MINIMIZER (in module trieste.objectives)
(in module trieste.objectives.single_objectives)
SHEKEL_4_MINIMUM (in module trieste.objectives)
(in module trieste.objectives.single_objectives)
SHEKEL_4_SEARCH_SPACE (in module trieste.objectives)
(in module trieste.objectives.single_objectives)
SIGNAL_NOISE_RATIO_LIKELIHOOD (in module trieste.models.gpflow.builders)
simple_quadratic() (in module trieste.objectives)
(in module trieste.objectives.single_objectives)
SIMPLE_QUADRATIC_MINIMIZER (in module trieste.objectives)
(in module trieste.objectives.single_objectives)
SIMPLE_QUADRATIC_MINIMUM (in module trieste.objectives)
(in module trieste.objectives.single_objectives)
SIMPLE_QUADRATIC_SEARCH_SPACE (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)
SingleObserver (in module trieste.observer)
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)
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)
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)
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)
(in module trieste.objectives.single_objectives)
trid_10() (in module trieste.objectives)
(in module trieste.objectives.single_objectives)
TRID_10_MINIMIZER (in module trieste.objectives)
(in module trieste.objectives.single_objectives)
TRID_10_MINIMUM (in module trieste.objectives)
(in module trieste.objectives.single_objectives)
TRID_10_SEARCH_SPACE (in module trieste.objectives)
(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.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.config
module
trieste.models.gpflow
module
trieste.models.gpflow.builders
module
trieste.models.gpflow.config
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.config
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.config
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.objectives
module
trieste.objectives.multi_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
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)
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_monte_carlo_expected_improvement method)
(DeepEnsemble method)
,
[1]
(DeepGaussianProcess 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]
(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)
(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]
(BatchMonteCarloExpectedImprovement method)
,
[1]
,
[2]
(BayesianActiveLearningByDisagreement method)
,
[1]
,
[2]
(ExpectedConstrainedImprovement method)
,
[1]
,
[2]
(ExpectedFeasibility method)
,
[1]
,
[2]
(ExpectedHypervolumeImprovement method)
,
[1]
,
[2]
(ExpectedImprovement method)
,
[1]
,
[2]
(Fantasizer 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]
(NegativeLowerConfidenceBound method)
,
[1]
,
[2]
(ParallelContinuousThompsonSampling method)
,
[1]
,
[2]
(PredictiveVariance method)
,
[1]
,
[2]
(ProbabilityOfFeasibility method)
,
[1]
,
[2]
(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)
(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 (class in trieste.objectives.multi_objectives)
vlmop2() (in module trieste.objectives.multi_objectives)
Y
y_min (TrustRegion.State attribute)