Index

A

Acquisition (class in emukit.core.acquisition.acquisition) acquisition_per_expected_cost() (in module emukit.core.acquisition.acquisition_per_cost) AcquisitionOptimizerBase (class in emukit.core.optimization.acquisition_optimizer) add_results() (emukit.benchmarking.loop_benchmarking.benchmark_result.BenchmarkResult method)

AffineInvariantEnsembleSampler (class in emukit.samplers.mcmc_sampler) AnchorPointsGenerator (class in emukit.core.optimization.anchor_points_generator) And (class in emukit.core.loop.stopping_conditions) apply_optimizer() (in module emukit.core.optimization.optimizer)

B

BaseGaussianProcessGPy (class in emukit.model_wrappers.gpy_quadrature_wrappers) BayesianMonteCarlo (class in emukit.quadrature.loop) BayesianMonteCarloPointCalculator (class in emukit.quadrature.loop.point_calculators) BayesianOptimizationLoop (class in emukit.bayesian_optimization.loops.bayesian_optimization_loop) BayesianOptimizationResults (class in emukit.bayesian_optimization.loops.bayesian_optimization_loop) Benchmarker (class in emukit.benchmarking.loop_benchmarking.benchmarker) BenchmarkPlot (class in emukit.benchmarking.loop_benchmarking.benchmark_plot) BenchmarkResult (class in emukit.benchmarking.loop_benchmarking.benchmark_result) bivariate_approximate_ground_truth_integral() (in module emukit.test_functions.quadrature.baselines)

bound (emukit.quadrature.methods.BoundedBayesianQuadrature property) BoundedBayesianQuadrature (class in emukit.quadrature.methods) bounds (emukit.core.categorical_parameter.CategoricalParameter property) (emukit.core.continuous_parameter.ContinuousParameter property) (emukit.core.discrete_parameter.DiscreteParameter property) (emukit.core.parameter.Parameter property) (emukit.quadrature.measures.BoxDomain property) BoxDomain (class in emukit.quadrature.measures) branin_function() (in module emukit.test_functions.branin) BrownianGPy (class in emukit.model_wrappers.gpy_quadrature_wrappers)

C

calculate_variance_reduction() (emukit.experimental_design.interfaces.models.ICalculateVarianceReduction method) (emukit.model_wrappers.gpy_model_wrappers.GPyModelWrapper method) (emukit.model_wrappers.gpy_model_wrappers.GPyMultiOutputWrapper method) can_sample (emukit.quadrature.measures.GaussianMeasure property) (emukit.quadrature.measures.IntegrationMeasure property) (emukit.quadrature.measures.LebesgueMeasure property) CandidatePointCalculator (class in emukit.core.loop.candidate_point_calculators) CategoricalParameter (class in emukit.core.categorical_parameter) check_in_domain() (emukit.core.categorical_parameter.CategoricalParameter method) (emukit.core.continuous_parameter.ContinuousParameter method) (emukit.core.discrete_parameter.DiscreteParameter method) (emukit.core.parameter.Parameter method) check_points_in_domain() (emukit.core.parameter_space.ParameterSpace method) circular_gaussian() (in module emukit.test_functions.quadrature.circular_gaussian) compute_density() (emukit.quadrature.measures.GaussianMeasure method) (emukit.quadrature.measures.IntegrationMeasure method) (emukit.quadrature.measures.LebesgueMeasure method) compute_density_gradient() (emukit.quadrature.measures.GaussianMeasure method) (emukit.quadrature.measures.IntegrationMeasure method) (emukit.quadrature.measures.LebesgueMeasure method) compute_effects() (emukit.sensitivity.monte_carlo.monte_carlo_sensitivity.ModelFreeMonteCarloSensitivity method)

compute_next_points() (emukit.bayesian_optimization.local_penalization_calculator.LocalPenalizationPointCalculator method) (emukit.core.loop.candidate_point_calculators.CandidatePointCalculator method) (emukit.core.loop.candidate_point_calculators.GreedyBatchPointCalculator method) (emukit.core.loop.candidate_point_calculators.RandomSampling method) (emukit.core.loop.candidate_point_calculators.SequentialPointCalculator method) (emukit.quadrature.loop.point_calculators.BayesianMonteCarloPointCalculator method) compute_statistics() (emukit.sensitivity.monte_carlo.monte_carlo_sensitivity.ModelFreeMonteCarloSensitivity method) compute_warping_params() (emukit.quadrature.methods.WarpedBayesianQuadratureModel method) (emukit.quadrature.methods.WSABIL method) ContextManager (class in emukit.core.optimization.context_manager) ContinuousParameter (class in emukit.core.continuous_parameter) ConvergenceStoppingCondition (class in emukit.core.loop.stopping_conditions) convert_to_list_of_continuous_parameters() (emukit.quadrature.measures.BoxDomain method) convert_x_list_to_array() (in module emukit.multi_fidelity.convert_lists_to_array) convert_xy_lists_to_arrays() (in module emukit.multi_fidelity.convert_lists_to_array) convert_y_list_to_array() (in module emukit.multi_fidelity.convert_lists_to_array) CostAcquisition (class in emukit.core.acquisition.acquisition_per_cost) CostSensitiveBayesianOptimizationLoop (class in emukit.bayesian_optimization.loops.cost_sensitive_bayesian_optimization_loop) create_emukit_model_from_gpy_model() (in module emukit.model_wrappers.gpy_quadrature_wrappers) create_loop_state() (in module emukit.core.loop.loop_state) CumulativeCostMetric (class in emukit.benchmarking.loop_benchmarking.metrics)

D

decompose_mvn() (in module emukit.bayesian_optimization.acquisitions.expected_improvement) df_no_context() (emukit.core.optimization.optimizer.OptimizationWithContext method) dimension (emukit.core.categorical_parameter.CategoricalParameter property) (emukit.core.encodings.Encoding property) (emukit.core.parameter.Parameter property) dimensionality (emukit.core.parameter_space.ParameterSpace property) DiscreteParameter (class in emukit.core.discrete_parameter) dK_dx1() (emukit.model_wrappers.gpy_quadrature_wrappers.ProductBrownianGPy method) (emukit.model_wrappers.gpy_quadrature_wrappers.ProductMatern12GPy method) (emukit.model_wrappers.gpy_quadrature_wrappers.ProductMatern32GPy method) (emukit.model_wrappers.gpy_quadrature_wrappers.ProductMatern52GPy method) (emukit.quadrature.interfaces.IBrownian method) (emukit.quadrature.interfaces.IRBF method) (emukit.quadrature.interfaces.IStandardKernel method) (emukit.quadrature.kernels.QuadratureKernel method) dK_dx2() (emukit.quadrature.kernels.QuadratureKernel method)

dKdiag_dx() (emukit.model_wrappers.gpy_quadrature_wrappers.ProductBrownianGPy method) (emukit.quadrature.interfaces.IBrownian method) (emukit.quadrature.interfaces.IProductMatern12 method) (emukit.quadrature.interfaces.IProductMatern32 method) (emukit.quadrature.interfaces.IProductMatern52 method) (emukit.quadrature.interfaces.IRBF method) (emukit.quadrature.interfaces.IStandardKernel method) (emukit.quadrature.kernels.QuadratureKernel method) dKq_dx() (emukit.quadrature.kernels.QuadratureKernel method) dmean() (in module emukit.model_wrappers.gpy_model_wrappers) dqK_dx() (emukit.quadrature.kernels.QuadratureBrownianLebesgueMeasure method) (emukit.quadrature.kernels.QuadratureKernel method) (emukit.quadrature.kernels.QuadratureProductKernel method) (emukit.quadrature.kernels.QuadratureRBFGaussianMeasure method) (emukit.quadrature.kernels.QuadratureRBFLebesgueMeasure method) dSigma() (in module emukit.model_wrappers.gpy_model_wrappers)

E

emukit module emukit.bayesian_optimization module emukit.bayesian_optimization.acquisitions module emukit.bayesian_optimization.acquisitions.entropy_search module emukit.bayesian_optimization.acquisitions.expected_improvement module emukit.bayesian_optimization.acquisitions.local_penalization module emukit.bayesian_optimization.acquisitions.log_acquisition module emukit.bayesian_optimization.acquisitions.max_value_entropy_search module emukit.bayesian_optimization.acquisitions.negative_lower_confidence_bound module emukit.bayesian_optimization.acquisitions.probability_of_feasibility module emukit.bayesian_optimization.acquisitions.probability_of_improvement module emukit.bayesian_optimization.epmgp module emukit.bayesian_optimization.interfaces module emukit.bayesian_optimization.interfaces.models module emukit.bayesian_optimization.local_penalization_calculator module emukit.bayesian_optimization.loops module emukit.bayesian_optimization.loops.bayesian_optimization_loop module emukit.bayesian_optimization.loops.cost_sensitive_bayesian_optimization_loop module emukit.bayesian_optimization.loops.unknown_constraint_bayesian_optimization_loop module emukit.benchmarking module emukit.benchmarking.loop_benchmarking module emukit.benchmarking.loop_benchmarking.benchmark_plot module emukit.benchmarking.loop_benchmarking.benchmark_result module emukit.benchmarking.loop_benchmarking.benchmarker module emukit.benchmarking.loop_benchmarking.metrics module emukit.benchmarking.loop_benchmarking.random_search module emukit.core module emukit.core.acquisition module emukit.core.acquisition.acquisition module emukit.core.acquisition.acquisition_per_cost module emukit.core.acquisition.integrated_acquisition module emukit.core.categorical_parameter module emukit.core.constraints module emukit.core.continuous_parameter module emukit.core.discrete_parameter module emukit.core.encodings module emukit.core.event_handler module emukit.core.initial_designs module emukit.core.initial_designs.base module emukit.core.initial_designs.random_design module emukit.core.interfaces module emukit.core.interfaces.models module emukit.core.loop module emukit.core.loop.candidate_point_calculators module emukit.core.loop.loop_state module emukit.core.loop.model_updaters module emukit.core.loop.outer_loop module emukit.core.loop.stopping_conditions module emukit.core.loop.user_function module emukit.core.loop.user_function_result module emukit.core.optimization module emukit.core.optimization.acquisition_optimizer module emukit.core.optimization.anchor_points_generator module emukit.core.optimization.context_manager module emukit.core.optimization.gradient_acquisition_optimizer module emukit.core.optimization.local_search_acquisition_optimizer module emukit.core.optimization.multi_source_acquisition_optimizer module emukit.core.optimization.optimizer module emukit.core.optimization.random_search_acquisition_optimizer module emukit.core.parameter module emukit.core.parameter_space module emukit.experimental_design module emukit.experimental_design.acquisitions module emukit.experimental_design.acquisitions.integrated_variance module emukit.experimental_design.acquisitions.model_variance module emukit.experimental_design.experimental_design_loop module emukit.experimental_design.interfaces module emukit.experimental_design.interfaces.models module emukit.model_wrappers module emukit.model_wrappers.gpy_model_wrappers module

emukit.model_wrappers.gpy_quadrature_wrappers module emukit.model_wrappers.simple_gp_model module emukit.multi_fidelity module emukit.multi_fidelity.convert_lists_to_array module emukit.multi_fidelity.kernels module emukit.multi_fidelity.kernels.linear_multi_fidelity_kernel module emukit.multi_fidelity.models module emukit.multi_fidelity.models.linear_model module emukit.multi_fidelity.models.non_linear_multi_fidelity_model module emukit.quadrature module emukit.quadrature.acquisitions module emukit.quadrature.interfaces module emukit.quadrature.kernels module emukit.quadrature.loop module emukit.quadrature.loop.point_calculators module emukit.quadrature.measures module emukit.quadrature.methods module emukit.quadrature.methods.warpings module emukit.samplers module emukit.samplers.mcmc_sampler module emukit.sensitivity module emukit.sensitivity.monte_carlo module emukit.sensitivity.monte_carlo.monte_carlo_sensitivity module emukit.test_functions module emukit.test_functions.branin module emukit.test_functions.forrester module emukit.test_functions.multi_fidelity module emukit.test_functions.multi_fidelity.borehole module emukit.test_functions.multi_fidelity.branin module emukit.test_functions.multi_fidelity.currin module emukit.test_functions.multi_fidelity.hartmann module emukit.test_functions.multi_fidelity.park module emukit.test_functions.non_linear_sin module emukit.test_functions.quadrature module emukit.test_functions.quadrature.baselines module emukit.test_functions.quadrature.circular_gaussian module emukit.test_functions.quadrature.hennig1D module emukit.test_functions.quadrature.sombrero2D module emukit.test_functions.sensitivity module emukit.test_functions.sensitivity.ishigami module emukit.test_functions.sixhumpcamel module Encoding (class in emukit.core.encodings) encodings (emukit.core.categorical_parameter.CategoricalParameter property) EntropySearch (class in emukit.bayesian_optimization.acquisitions.entropy_search) evaluate() (emukit.bayesian_optimization.acquisitions.entropy_search.EntropySearch method) (emukit.bayesian_optimization.acquisitions.expected_improvement.ExpectedImprovement method) (emukit.bayesian_optimization.acquisitions.expected_improvement.MultipointExpectedImprovement method) (emukit.bayesian_optimization.acquisitions.local_penalization.LocalPenalization method) (emukit.bayesian_optimization.acquisitions.log_acquisition.LogAcquisition method) (emukit.bayesian_optimization.acquisitions.max_value_entropy_search.MaxValueEntropySearch method) (emukit.bayesian_optimization.acquisitions.max_value_entropy_search.MUMBO method) (emukit.bayesian_optimization.acquisitions.negative_lower_confidence_bound.NegativeLowerConfidenceBound method) (emukit.bayesian_optimization.acquisitions.probability_of_feasibility.ProbabilityOfFeasibility method) (emukit.bayesian_optimization.acquisitions.probability_of_improvement.ProbabilityOfImprovement method) (emukit.benchmarking.loop_benchmarking.metrics.CumulativeCostMetric method) (emukit.benchmarking.loop_benchmarking.metrics.MeanSquaredErrorMetric method) (emukit.benchmarking.loop_benchmarking.metrics.Metric method) (emukit.benchmarking.loop_benchmarking.metrics.MinimumObservedValueMetric method) (emukit.benchmarking.loop_benchmarking.metrics.TimeMetric method) (emukit.core.acquisition.acquisition.Acquisition method) (emukit.core.acquisition.acquisition.Product method) (emukit.core.acquisition.acquisition.Quotient method) (emukit.core.acquisition.acquisition.Sum method) (emukit.core.acquisition.acquisition_per_cost.CostAcquisition method) (emukit.core.acquisition.integrated_acquisition.IntegratedHyperParameterAcquisition method) (emukit.core.constraints.IConstraint method) (emukit.core.constraints.LinearInequalityConstraint method) (emukit.core.constraints.NonlinearInequalityConstraint method) (emukit.core.loop.user_function.MultiSourceFunctionWrapper method) (emukit.core.loop.user_function.UserFunction method) (emukit.core.loop.user_function.UserFunctionWrapper method) (emukit.experimental_design.acquisitions.integrated_variance.IntegratedVarianceReduction method) (emukit.experimental_design.acquisitions.model_variance.ModelVariance method) (emukit.quadrature.acquisitions.MutualInformation method) (emukit.quadrature.acquisitions.SquaredCorrelation method) (emukit.quadrature.acquisitions.UncertaintySampling method) evaluate_with_gradients() (emukit.bayesian_optimization.acquisitions.expected_improvement.ExpectedImprovement method) (emukit.bayesian_optimization.acquisitions.expected_improvement.MultipointExpectedImprovement method) (emukit.bayesian_optimization.acquisitions.local_penalization.LocalPenalization method) (emukit.bayesian_optimization.acquisitions.log_acquisition.LogAcquisition method) (emukit.bayesian_optimization.acquisitions.negative_lower_confidence_bound.NegativeLowerConfidenceBound method) (emukit.bayesian_optimization.acquisitions.probability_of_feasibility.ProbabilityOfFeasibility method) (emukit.bayesian_optimization.acquisitions.probability_of_improvement.ProbabilityOfImprovement method) (emukit.core.acquisition.acquisition.Acquisition method) (emukit.core.acquisition.acquisition.Product method) (emukit.core.acquisition.acquisition.Quotient method) (emukit.core.acquisition.acquisition.Sum method) (emukit.core.acquisition.acquisition_per_cost.CostAcquisition method) (emukit.core.acquisition.integrated_acquisition.IntegratedHyperParameterAcquisition method) (emukit.experimental_design.acquisitions.model_variance.ModelVariance method) (emukit.quadrature.acquisitions.MutualInformation method) (emukit.quadrature.acquisitions.SquaredCorrelation method) (emukit.quadrature.acquisitions.UncertaintySampling method) EventHandler (class in emukit.core.event_handler) expand_vector() (emukit.core.optimization.context_manager.ContextManager method) ExpectedImprovement (class in emukit.bayesian_optimization.acquisitions.expected_improvement) ExperimentalDesignLoop (class in emukit.experimental_design.experimental_design_loop) extract_metric_as_array() (emukit.benchmarking.loop_benchmarking.benchmark_result.BenchmarkResult method)

F

f0() (emukit.test_functions.sensitivity.ishigami.Ishigami method) f1() (emukit.test_functions.sensitivity.ishigami.Ishigami method) f12() (emukit.test_functions.sensitivity.ishigami.Ishigami method) f123() (emukit.test_functions.sensitivity.ishigami.Ishigami method) f13() (emukit.test_functions.sensitivity.ishigami.Ishigami method) f2() (emukit.test_functions.sensitivity.ishigami.Ishigami method) f23() (emukit.test_functions.sensitivity.ishigami.Ishigami method) f3() (emukit.test_functions.sensitivity.ishigami.Ishigami method) f_df_no_context() (emukit.core.optimization.optimizer.OptimizationWithContext method) f_no_context() (emukit.core.optimization.optimizer.OptimizationWithContext method) fidelity1() (emukit.test_functions.sensitivity.ishigami.Ishigami method) fidelity2() (emukit.test_functions.sensitivity.ishigami.Ishigami method) fidelity3() (emukit.test_functions.sensitivity.ishigami.Ishigami method)

fidelity4() (emukit.test_functions.sensitivity.ishigami.Ishigami method) find_parameter_index_in_model() (emukit.core.parameter_space.ParameterSpace method) fix_model_hyperparameters() (emukit.core.interfaces.models.IPriorHyperparameters method) (emukit.model_wrappers.gpy_model_wrappers.GPyModelWrapper method) (emukit.model_wrappers.gpy_model_wrappers.GPyMultiOutputWrapper method) FixedIntervalUpdater (class in emukit.core.loop.model_updaters) FixedIterationsStoppingCondition (class in emukit.core.loop.stopping_conditions) forrester() (in module emukit.test_functions.forrester) forrester_function() (in module emukit.test_functions.forrester) forrester_low() (in module emukit.test_functions.forrester) from_bounds() (emukit.quadrature.measures.LebesgueMeasure class method) from_integral_bounds() (emukit.quadrature.kernels.LebesgueEmbedding class method) from_measure_params() (emukit.quadrature.kernels.GaussianEmbedding class method) full_covariance_matrix (emukit.quadrature.measures.GaussianMeasure property)

G

GaussianEmbedding (class in emukit.quadrature.kernels) GaussianMeasure (class in emukit.quadrature.measures) generate_hyperparameters_samples() (emukit.core.interfaces.models.IPriorHyperparameters method) (emukit.model_wrappers.gpy_model_wrappers.GPyModelWrapper method) (emukit.model_wrappers.gpy_model_wrappers.GPyMultiOutputWrapper method) get() (emukit.core.optimization.anchor_points_generator.AnchorPointsGenerator method) get_anchor_point_scores() (emukit.core.optimization.anchor_points_generator.AnchorPointsGenerator method) (emukit.core.optimization.anchor_points_generator.ObjectiveAnchorPointsGenerator method) get_bounds() (emukit.core.parameter_space.ParameterSpace method) get_category() (emukit.core.encodings.Encoding method) get_correlations_given_value_of_i() (in module emukit.bayesian_optimization.acquisitions.expected_improvement) get_covariance_between_points() (emukit.bayesian_optimization.interfaces.models.IEntropySearchModel method) (emukit.model_wrappers.gpy_model_wrappers.GPyModelWrapper method) (emukit.model_wrappers.gpy_model_wrappers.GPyMultiOutputWrapper method) get_covariance_given_smallest() (in module emukit.bayesian_optimization.acquisitions.expected_improvement) get_covariance_given_value_of_i() (in module emukit.bayesian_optimization.acquisitions.expected_improvement) get_encoding() (emukit.core.encodings.Encoding method) get_f_minimum() (emukit.multi_fidelity.models.non_linear_multi_fidelity_model.NonLinearMultiFidelityModel method) get_joint_prediction_gradients() (emukit.core.interfaces.models.IJointlyDifferentiable method) (emukit.model_wrappers.gpy_model_wrappers.GPyModelWrapper method) get_next_points() (emukit.core.loop.outer_loop.OuterLoop method) get_parameter_by_name() (emukit.core.parameter_space.ParameterSpace method)

get_prediction_gradients() (emukit.core.interfaces.models.IDifferentiable method) (emukit.model_wrappers.gpy_model_wrappers.GPyModelWrapper method) (emukit.model_wrappers.gpy_model_wrappers.GPyMultiOutputWrapper method) (emukit.multi_fidelity.models.non_linear_multi_fidelity_model.NonLinearMultiFidelityModel method) (emukit.quadrature.interfaces.IBaseGaussianProcess method) (emukit.quadrature.methods.BoundedBayesianQuadrature method) (emukit.quadrature.methods.VanillaBayesianQuadrature method) get_results() (emukit.bayesian_optimization.loops.bayesian_optimization_loop.BayesianOptimizationLoop method) get_samples() (emukit.core.initial_designs.base.InitialDesignBase method) (emukit.core.initial_designs.random_design.RandomDesign method) (emukit.samplers.mcmc_sampler.AffineInvariantEnsembleSampler method) (emukit.samplers.mcmc_sampler.McmcSampler method) get_standard_normal_pdf_cdf() (in module emukit.bayesian_optimization.acquisitions.expected_improvement) GPyLinearMultiFidelityModel (class in emukit.multi_fidelity.models.linear_model) GPyModelWrapper (class in emukit.model_wrappers.gpy_model_wrappers) GPyMultiOutputWrapper (class in emukit.model_wrappers.gpy_model_wrappers) GradientAcquisitionOptimizer (class in emukit.core.optimization.gradient_acquisition_optimizer) gradients_X() (emukit.multi_fidelity.kernels.linear_multi_fidelity_kernel.LinearMultiFidelityKernel method) gradients_X_diag() (emukit.multi_fidelity.kernels.linear_multi_fidelity_kernel.LinearMultiFidelityKernel method) graminv_residual() (emukit.model_wrappers.gpy_quadrature_wrappers.BaseGaussianProcessGPy method) (emukit.quadrature.interfaces.IBaseGaussianProcess method) GreedyBatchPointCalculator (class in emukit.core.loop.candidate_point_calculators)

H

has_gradients (emukit.bayesian_optimization.acquisitions.entropy_search.EntropySearch property) (emukit.bayesian_optimization.acquisitions.expected_improvement.ExpectedImprovement property) (emukit.bayesian_optimization.acquisitions.local_penalization.LocalPenalization property) (emukit.bayesian_optimization.acquisitions.log_acquisition.LogAcquisition property) (emukit.bayesian_optimization.acquisitions.max_value_entropy_search.MaxValueEntropySearch property) (emukit.bayesian_optimization.acquisitions.negative_lower_confidence_bound.NegativeLowerConfidenceBound property) (emukit.bayesian_optimization.acquisitions.probability_of_feasibility.ProbabilityOfFeasibility property) (emukit.bayesian_optimization.acquisitions.probability_of_improvement.ProbabilityOfImprovement property) (emukit.core.acquisition.acquisition.Acquisition property) (emukit.core.acquisition.acquisition.Product property) (emukit.core.acquisition.acquisition.Quotient property) (emukit.core.acquisition.acquisition.Sum property) (emukit.core.acquisition.acquisition_per_cost.CostAcquisition property) (emukit.core.acquisition.integrated_acquisition.IntegratedHyperParameterAcquisition property) (emukit.experimental_design.acquisitions.integrated_variance.IntegratedVarianceReduction property) (emukit.experimental_design.acquisitions.model_variance.ModelVariance property) (emukit.quadrature.acquisitions.MutualInformation property) (emukit.quadrature.acquisitions.SquaredCorrelation property) (emukit.quadrature.acquisitions.UncertaintySampling property)

hennig1D() (in module emukit.test_functions.quadrature.hennig1D)

I

IBaseGaussianProcess (class in emukit.quadrature.interfaces) IBrownian (class in emukit.quadrature.interfaces) ICalculateVarianceReduction (class in emukit.experimental_design.interfaces.models) IConstraint (class in emukit.core.constraints) IdentityWarping (class in emukit.quadrature.methods.warpings) IDifferentiable (class in emukit.core.interfaces.models) IEntropySearchModel (class in emukit.bayesian_optimization.interfaces.models) IJointlyDifferentiable (class in emukit.core.interfaces.models) IModel (class in emukit.core.interfaces.models) IModelWithNoise (class in emukit.core.interfaces.models) InequalityConstraint (class in emukit.core.constraints) InformationSourceParameter (class in emukit.core.discrete_parameter) InitialDesignBase (class in emukit.core.initial_designs.base) input_dim (emukit.quadrature.measures.GaussianMeasure property) (emukit.quadrature.measures.IntegrationMeasure property) (emukit.quadrature.measures.LebesgueMeasure property) integral_bounds (emukit.quadrature.methods.WarpedBayesianQuadratureModel property) IntegralVarianceReduction (in module emukit.quadrature.acquisitions)

integrate() (emukit.quadrature.methods.BoundedBayesianQuadrature method) (emukit.quadrature.methods.VanillaBayesianQuadrature method) (emukit.quadrature.methods.WarpedBayesianQuadratureModel method) IntegratedHyperParameterAcquisition (class in emukit.core.acquisition.integrated_acquisition) IntegratedVarianceReduction (class in emukit.experimental_design.acquisitions.integrated_variance) IntegrationMeasure (class in emukit.quadrature.measures) inverse_transform() (emukit.quadrature.methods.WarpedBayesianQuadratureModel method) (emukit.quadrature.methods.warpings.IdentityWarping method) (emukit.quadrature.methods.warpings.SquareRootWarping method) (emukit.quadrature.methods.warpings.Warping method) IPriorHyperparameters (class in emukit.core.interfaces.models) IProductBrownian (class in emukit.quadrature.interfaces) IProductMatern12 (class in emukit.quadrature.interfaces) IProductMatern32 (class in emukit.quadrature.interfaces) IProductMatern52 (class in emukit.quadrature.interfaces) IRBF (class in emukit.quadrature.interfaces) is_lower_bounded (emukit.quadrature.methods.BoundedBayesianQuadrature property) Ishigami (class in emukit.test_functions.sensitivity.ishigami) IStandardKernel (class in emukit.quadrature.interfaces)

J

joint_min() (in module emukit.bayesian_optimization.epmgp)

K

K() (emukit.model_wrappers.gpy_quadrature_wrappers.BrownianGPy method) (emukit.model_wrappers.gpy_quadrature_wrappers.ProductBrownianGPy method) (emukit.model_wrappers.gpy_quadrature_wrappers.ProductMatern12GPy method) (emukit.model_wrappers.gpy_quadrature_wrappers.ProductMatern32GPy method) (emukit.model_wrappers.gpy_quadrature_wrappers.ProductMatern52GPy method) (emukit.model_wrappers.gpy_quadrature_wrappers.RBFGPy method) (emukit.multi_fidelity.kernels.linear_multi_fidelity_kernel.LinearMultiFidelityKernel method) (emukit.quadrature.interfaces.IStandardKernel method) (emukit.quadrature.kernels.QuadratureKernel method)

Kdiag() (emukit.multi_fidelity.kernels.linear_multi_fidelity_kernel.LinearMultiFidelityKernel method) Kq() (emukit.quadrature.kernels.QuadratureKernel method)

L

LebesgueEmbedding (class in emukit.quadrature.kernels) LebesgueMeasure (class in emukit.quadrature.measures) lengthscales (emukit.model_wrappers.gpy_quadrature_wrappers.ProductMatern12GPy property) (emukit.model_wrappers.gpy_quadrature_wrappers.ProductMatern32GPy property) (emukit.model_wrappers.gpy_quadrature_wrappers.ProductMatern52GPy property) (emukit.model_wrappers.gpy_quadrature_wrappers.RBFGPy property) (emukit.quadrature.interfaces.IProductMatern12 property) (emukit.quadrature.interfaces.IProductMatern32 property) (emukit.quadrature.interfaces.IProductMatern52 property) (emukit.quadrature.interfaces.IRBF property) (emukit.quadrature.kernels.QuadratureProductMatern12 property) (emukit.quadrature.kernels.QuadratureProductMatern32 property) (emukit.quadrature.kernels.QuadratureProductMatern52 property) (emukit.quadrature.kernels.QuadratureRBF property)

LinearInequalityConstraint (class in emukit.core.constraints) LinearMultiFidelityKernel (class in emukit.multi_fidelity.kernels.linear_multi_fidelity_kernel) LocalPenalization (class in emukit.bayesian_optimization.acquisitions.local_penalization) LocalPenalizationPointCalculator (class in emukit.bayesian_optimization.local_penalization_calculator) LocalSearchAcquisitionOptimizer (class in emukit.core.optimization.local_search_acquisition_optimizer) log_relative_gauss() (in module emukit.bayesian_optimization.epmgp) LogAcquisition (class in emukit.bayesian_optimization.acquisitions.log_acquisition) LoopState (class in emukit.core.loop.loop_state) lt_factor() (in module emukit.bayesian_optimization.epmgp)

M

make_non_linear_kernels() (in module emukit.multi_fidelity.models.non_linear_multi_fidelity_model) make_plot() (emukit.benchmarking.loop_benchmarking.benchmark_plot.BenchmarkPlot method) MaxValueEntropySearch (class in emukit.bayesian_optimization.acquisitions.max_value_entropy_search) McmcSampler (class in emukit.samplers.mcmc_sampler) MeanPluginExpectedImprovement (class in emukit.bayesian_optimization.acquisitions.expected_improvement) MeanSquaredErrorMetric (class in emukit.benchmarking.loop_benchmarking.metrics) measure (emukit.quadrature.methods.WarpedBayesianQuadratureModel property) Metric (class in emukit.benchmarking.loop_benchmarking.metrics) min_factor() (in module emukit.bayesian_optimization.epmgp) MinimumObservedValueMetric (class in emukit.benchmarking.loop_benchmarking.metrics) model_parameters (emukit.core.categorical_parameter.CategoricalParameter property) (emukit.core.parameter.Parameter property) ModelFreeMonteCarloSensitivity (class in emukit.sensitivity.monte_carlo.monte_carlo_sensitivity) ModelUpdater (class in emukit.core.loop.model_updaters) ModelVariance (class in emukit.experimental_design.acquisitions.model_variance) module emukit emukit.bayesian_optimization emukit.bayesian_optimization.acquisitions emukit.bayesian_optimization.acquisitions.entropy_search emukit.bayesian_optimization.acquisitions.expected_improvement emukit.bayesian_optimization.acquisitions.local_penalization emukit.bayesian_optimization.acquisitions.log_acquisition emukit.bayesian_optimization.acquisitions.max_value_entropy_search emukit.bayesian_optimization.acquisitions.negative_lower_confidence_bound emukit.bayesian_optimization.acquisitions.probability_of_feasibility emukit.bayesian_optimization.acquisitions.probability_of_improvement emukit.bayesian_optimization.epmgp emukit.bayesian_optimization.interfaces emukit.bayesian_optimization.interfaces.models emukit.bayesian_optimization.local_penalization_calculator emukit.bayesian_optimization.loops emukit.bayesian_optimization.loops.bayesian_optimization_loop emukit.bayesian_optimization.loops.cost_sensitive_bayesian_optimization_loop emukit.bayesian_optimization.loops.unknown_constraint_bayesian_optimization_loop emukit.benchmarking emukit.benchmarking.loop_benchmarking emukit.benchmarking.loop_benchmarking.benchmark_plot emukit.benchmarking.loop_benchmarking.benchmark_result emukit.benchmarking.loop_benchmarking.benchmarker emukit.benchmarking.loop_benchmarking.metrics emukit.benchmarking.loop_benchmarking.random_search emukit.core emukit.core.acquisition emukit.core.acquisition.acquisition emukit.core.acquisition.acquisition_per_cost emukit.core.acquisition.integrated_acquisition emukit.core.categorical_parameter emukit.core.constraints emukit.core.continuous_parameter emukit.core.discrete_parameter emukit.core.encodings emukit.core.event_handler emukit.core.initial_designs emukit.core.initial_designs.base emukit.core.initial_designs.random_design emukit.core.interfaces emukit.core.interfaces.models emukit.core.loop emukit.core.loop.candidate_point_calculators emukit.core.loop.loop_state emukit.core.loop.model_updaters emukit.core.loop.outer_loop emukit.core.loop.stopping_conditions emukit.core.loop.user_function emukit.core.loop.user_function_result emukit.core.optimization emukit.core.optimization.acquisition_optimizer emukit.core.optimization.anchor_points_generator emukit.core.optimization.context_manager emukit.core.optimization.gradient_acquisition_optimizer emukit.core.optimization.local_search_acquisition_optimizer emukit.core.optimization.multi_source_acquisition_optimizer emukit.core.optimization.optimizer emukit.core.optimization.random_search_acquisition_optimizer emukit.core.parameter emukit.core.parameter_space emukit.experimental_design emukit.experimental_design.acquisitions emukit.experimental_design.acquisitions.integrated_variance emukit.experimental_design.acquisitions.model_variance emukit.experimental_design.experimental_design_loop emukit.experimental_design.interfaces emukit.experimental_design.interfaces.models emukit.model_wrappers emukit.model_wrappers.gpy_model_wrappers emukit.model_wrappers.gpy_quadrature_wrappers emukit.model_wrappers.simple_gp_model emukit.multi_fidelity emukit.multi_fidelity.convert_lists_to_array emukit.multi_fidelity.kernels emukit.multi_fidelity.kernels.linear_multi_fidelity_kernel emukit.multi_fidelity.models emukit.multi_fidelity.models.linear_model emukit.multi_fidelity.models.non_linear_multi_fidelity_model emukit.quadrature emukit.quadrature.acquisitions emukit.quadrature.interfaces emukit.quadrature.kernels emukit.quadrature.loop emukit.quadrature.loop.point_calculators emukit.quadrature.measures emukit.quadrature.methods emukit.quadrature.methods.warpings emukit.samplers emukit.samplers.mcmc_sampler emukit.sensitivity emukit.sensitivity.monte_carlo emukit.sensitivity.monte_carlo.monte_carlo_sensitivity emukit.test_functions emukit.test_functions.branin emukit.test_functions.forrester emukit.test_functions.multi_fidelity emukit.test_functions.multi_fidelity.borehole emukit.test_functions.multi_fidelity.branin emukit.test_functions.multi_fidelity.currin emukit.test_functions.multi_fidelity.hartmann emukit.test_functions.multi_fidelity.park emukit.test_functions.non_linear_sin emukit.test_functions.quadrature emukit.test_functions.quadrature.baselines emukit.test_functions.quadrature.circular_gaussian emukit.test_functions.quadrature.hennig1D emukit.test_functions.quadrature.sombrero2D emukit.test_functions.sensitivity emukit.test_functions.sensitivity.ishigami emukit.test_functions.sixhumpcamel

MonteCarloSensitivity (class in emukit.sensitivity.monte_carlo.monte_carlo_sensitivity) multi_fidelity_borehole_function() (in module emukit.test_functions.multi_fidelity.borehole) multi_fidelity_branin_function() (in module emukit.test_functions.multi_fidelity.branin) multi_fidelity_currin_function() (in module emukit.test_functions.multi_fidelity.currin) multi_fidelity_forrester_function() (in module emukit.test_functions.forrester) multi_fidelity_hartmann_3d() (in module emukit.test_functions.multi_fidelity.hartmann) multi_fidelity_non_linear_sin() (in module emukit.test_functions.non_linear_sin) multi_fidelity_park_function() (in module emukit.test_functions.multi_fidelity.park) MultiInformationSourceEntropySearch (class in emukit.bayesian_optimization.acquisitions.entropy_search) MultipointExpectedImprovement (class in emukit.bayesian_optimization.acquisitions.expected_improvement) MultiSourceAcquisitionOptimizer (class in emukit.core.optimization.multi_source_acquisition_optimizer) MultiSourceFunctionWrapper (class in emukit.core.loop.user_function) MUMBO (class in emukit.bayesian_optimization.acquisitions.max_value_entropy_search) MutualInformation (class in emukit.quadrature.acquisitions)

N

n_samples (emukit.multi_fidelity.models.non_linear_multi_fidelity_model.NonLinearMultiFidelityModel property) NegativeLowerConfidenceBound (class in emukit.bayesian_optimization.acquisitions.negative_lower_confidence_bound) nonlinear_sin_high() (in module emukit.test_functions.non_linear_sin) nonlinear_sin_low() (in module emukit.test_functions.non_linear_sin) NonlinearInequalityConstraint (class in emukit.core.constraints) NonLinearMultiFidelityModel (class in emukit.multi_fidelity.models.non_linear_multi_fidelity_model)

NoopModelUpdater (class in emukit.core.loop.model_updaters) nu (emukit.quadrature.interfaces.IProductMatern12 property) (emukit.quadrature.interfaces.IProductMatern32 property) (emukit.quadrature.interfaces.IProductMatern52 property) (emukit.quadrature.kernels.QuadratureProductMatern12 property) (emukit.quadrature.kernels.QuadratureProductMatern32 property) (emukit.quadrature.kernels.QuadratureProductMatern52 property)

O

ObjectiveAnchorPointsGenerator (class in emukit.core.optimization.anchor_points_generator) observation_noise_variance (emukit.model_wrappers.gpy_quadrature_wrappers.BaseGaussianProcessGPy property) (emukit.quadrature.interfaces.IBaseGaussianProcess property) offset (emukit.model_wrappers.gpy_quadrature_wrappers.ProductBrownianGPy property) (emukit.quadrature.interfaces.IProductBrownian property) (emukit.quadrature.kernels.QuadratureProductBrownian property) OneHotEncoding (class in emukit.core.encodings) OptimizationWithContext (class in emukit.core.optimization.optimizer) optimize() (emukit.core.interfaces.models.IModel method) (emukit.core.optimization.acquisition_optimizer.AcquisitionOptimizerBase method) (emukit.core.optimization.multi_source_acquisition_optimizer.MultiSourceAcquisitionOptimizer method) (emukit.core.optimization.optimizer.Optimizer method) (emukit.core.optimization.optimizer.OptLbfgs method) (emukit.core.optimization.optimizer.OptTrustRegionConstrained method) (emukit.model_wrappers.gpy_model_wrappers.GPyModelWrapper method) (emukit.model_wrappers.gpy_model_wrappers.GPyMultiOutputWrapper method) (emukit.model_wrappers.gpy_quadrature_wrappers.BaseGaussianProcessGPy method) (emukit.model_wrappers.simple_gp_model.SimpleGaussianProcessModel method) (emukit.multi_fidelity.models.non_linear_multi_fidelity_model.NonLinearMultiFidelityModel method) (emukit.quadrature.methods.WarpedBayesianQuadratureModel method)

Optimizer (class in emukit.core.optimization.optimizer) OptLbfgs (class in emukit.core.optimization.optimizer) OptTrustRegionConstrained (class in emukit.core.optimization.optimizer) Or (class in emukit.core.loop.stopping_conditions) OrdinalEncoding (class in emukit.core.encodings) OuterLoop (class in emukit.core.loop.outer_loop)

P

Parameter (class in emukit.core.parameter) parameter_names (emukit.core.parameter_space.ParameterSpace property) parameters (emukit.core.parameter_space.ParameterSpace property) ParameterSpace (class in emukit.core.parameter_space) Phi_gradient() (in module emukit.bayesian_optimization.acquisitions.expected_improvement) Phi_hessian() (in module emukit.bayesian_optimization.acquisitions.expected_improvement) predict() (emukit.core.interfaces.models.IModel method) (emukit.model_wrappers.gpy_model_wrappers.GPyModelWrapper method) (emukit.model_wrappers.gpy_model_wrappers.GPyMultiOutputWrapper method) (emukit.model_wrappers.gpy_quadrature_wrappers.BaseGaussianProcessGPy method) (emukit.model_wrappers.simple_gp_model.SimpleGaussianProcessModel method) (emukit.multi_fidelity.models.non_linear_multi_fidelity_model.NonLinearMultiFidelityModel method) (emukit.quadrature.methods.WarpedBayesianQuadratureModel method) predict_base() (emukit.quadrature.methods.BoundedBayesianQuadrature method) (emukit.quadrature.methods.VanillaBayesianQuadrature method) (emukit.quadrature.methods.WarpedBayesianQuadratureModel method) predict_base_with_full_covariance() (emukit.quadrature.methods.BoundedBayesianQuadrature method) (emukit.quadrature.methods.VanillaBayesianQuadrature method) (emukit.quadrature.methods.WarpedBayesianQuadratureModel method)

predict_covariance() (emukit.bayesian_optimization.interfaces.models.IEntropySearchModel method) (emukit.model_wrappers.gpy_model_wrappers.GPyModelWrapper method) (emukit.model_wrappers.gpy_model_wrappers.GPyMultiOutputWrapper method) predict_noiseless() (emukit.core.interfaces.models.IModelWithNoise method) (emukit.model_wrappers.gpy_model_wrappers.GPyModelWrapper method) predict_with_full_covariance() (emukit.core.interfaces.models.IJointlyDifferentiable method) (emukit.model_wrappers.gpy_model_wrappers.GPyModelWrapper method) (emukit.model_wrappers.gpy_quadrature_wrappers.BaseGaussianProcessGPy method) (emukit.quadrature.interfaces.IBaseGaussianProcess method) (emukit.quadrature.methods.WarpedBayesianQuadratureModel method) ProbabilityOfFeasibility (class in emukit.bayesian_optimization.acquisitions.probability_of_feasibility) ProbabilityOfImprovement (class in emukit.bayesian_optimization.acquisitions.probability_of_improvement) Product (class in emukit.core.acquisition.acquisition) ProductBrownianGPy (class in emukit.model_wrappers.gpy_quadrature_wrappers) ProductMatern12GPy (class in emukit.model_wrappers.gpy_quadrature_wrappers) ProductMatern32GPy (class in emukit.model_wrappers.gpy_quadrature_wrappers) ProductMatern52GPy (class in emukit.model_wrappers.gpy_quadrature_wrappers)

Q

qK() (emukit.quadrature.kernels.QuadratureBrownianLebesgueMeasure method) (emukit.quadrature.kernels.QuadratureKernel method) (emukit.quadrature.kernels.QuadratureProductKernel method) (emukit.quadrature.kernels.QuadratureRBFGaussianMeasure method) (emukit.quadrature.kernels.QuadratureRBFLebesgueMeasure method) qKq() (emukit.quadrature.kernels.QuadratureBrownianLebesgueMeasure method) (emukit.quadrature.kernels.QuadratureKernel method) (emukit.quadrature.kernels.QuadratureProductKernel method) (emukit.quadrature.kernels.QuadratureRBFGaussianMeasure method) (emukit.quadrature.kernels.QuadratureRBFLebesgueMeasure method) QuadratureBrownian (class in emukit.quadrature.kernels) QuadratureBrownianLebesgueMeasure (class in emukit.quadrature.kernels) QuadratureKernel (class in emukit.quadrature.kernels)

QuadratureProductBrownian (class in emukit.quadrature.kernels) QuadratureProductBrownianLebesgueMeasure (class in emukit.quadrature.kernels) QuadratureProductKernel (class in emukit.quadrature.kernels) QuadratureProductMatern12 (class in emukit.quadrature.kernels) QuadratureProductMatern12LebesgueMeasure (class in emukit.quadrature.kernels) QuadratureProductMatern32 (class in emukit.quadrature.kernels) QuadratureProductMatern32LebesgueMeasure (class in emukit.quadrature.kernels) QuadratureProductMatern52 (class in emukit.quadrature.kernels) QuadratureProductMatern52LebesgueMeasure (class in emukit.quadrature.kernels) QuadratureRBF (class in emukit.quadrature.kernels) QuadratureRBFGaussianMeasure (class in emukit.quadrature.kernels) QuadratureRBFLebesgueMeasure (class in emukit.quadrature.kernels) Quotient (class in emukit.core.acquisition.acquisition)

R

RandomDesign (class in emukit.core.initial_designs.random_design) RandomSampling (class in emukit.core.loop.candidate_point_calculators) RandomSearch (class in emukit.benchmarking.loop_benchmarking.random_search) RandomSearchAcquisitionOptimizer (class in emukit.core.optimization.random_search_acquisition_optimizer) RBFGPy (class in emukit.model_wrappers.gpy_quadrature_wrappers) reasonable_box() (emukit.quadrature.measures.GaussianMeasure method) (emukit.quadrature.measures.IntegrationMeasure method) (emukit.quadrature.measures.LebesgueMeasure method) reasonable_box_bounds (emukit.quadrature.methods.WarpedBayesianQuadratureModel property) reset() (emukit.benchmarking.loop_benchmarking.metrics.CumulativeCostMetric method) (emukit.benchmarking.loop_benchmarking.metrics.Metric method) (emukit.benchmarking.loop_benchmarking.metrics.TimeMetric method)

round() (emukit.core.categorical_parameter.CategoricalParameter method) (emukit.core.discrete_parameter.DiscreteParameter method) (emukit.core.encodings.Encoding method) (emukit.core.parameter.Parameter method) (emukit.core.parameter_space.ParameterSpace method) round_row() (emukit.core.encodings.Encoding method) (emukit.core.encodings.OneHotEncoding method) (emukit.core.encodings.OrdinalEncoding method) run_benchmark() (emukit.benchmarking.loop_benchmarking.benchmarker.Benchmarker method) run_loop() (emukit.core.loop.outer_loop.OuterLoop method)

S

saltelli_estimators() (emukit.sensitivity.monte_carlo.monte_carlo_sensitivity.ModelFreeMonteCarloSensitivity method) sample() (emukit.quadrature.measures.GaussianMeasure method) (emukit.quadrature.measures.IntegrationMeasure method) (emukit.quadrature.measures.LebesgueMeasure method) sample_uniform() (emukit.core.categorical_parameter.CategoricalParameter method) (emukit.core.continuous_parameter.ContinuousParameter method) (emukit.core.discrete_parameter.DiscreteParameter method) (emukit.core.parameter.Parameter method) (emukit.core.parameter_space.ParameterSpace method) save_plot() (emukit.benchmarking.loop_benchmarking.benchmark_plot.BenchmarkPlot method) SequentialPointCalculator (class in emukit.core.loop.candidate_point_calculators) set_data() (emukit.core.interfaces.models.IModel method) (emukit.model_wrappers.gpy_model_wrappers.GPyModelWrapper method) (emukit.model_wrappers.gpy_model_wrappers.GPyMultiOutputWrapper method) (emukit.model_wrappers.gpy_quadrature_wrappers.BaseGaussianProcessGPy method) (emukit.model_wrappers.simple_gp_model.SimpleGaussianProcessModel method) (emukit.multi_fidelity.models.non_linear_multi_fidelity_model.NonLinearMultiFidelityModel method) (emukit.quadrature.methods.WarpedBayesianQuadratureModel method)

should_stop() (emukit.core.loop.stopping_conditions.And method) (emukit.core.loop.stopping_conditions.ConvergenceStoppingCondition method) (emukit.core.loop.stopping_conditions.FixedIterationsStoppingCondition method) (emukit.core.loop.stopping_conditions.Or method) (emukit.core.loop.stopping_conditions.StoppingCondition method) SimpleGaussianProcessModel (class in emukit.model_wrappers.simple_gp_model) sixhumpcamel_function() (in module emukit.test_functions.sixhumpcamel) solve_linear() (emukit.model_wrappers.gpy_quadrature_wrappers.BaseGaussianProcessGPy method) (emukit.quadrature.interfaces.IBaseGaussianProcess method) sombrero2D() (in module emukit.test_functions.quadrature.sombrero2D) SquaredCorrelation (class in emukit.quadrature.acquisitions) SquareRootWarping (class in emukit.quadrature.methods.warpings) StoppingCondition (class in emukit.core.loop.stopping_conditions) Sum (class in emukit.core.acquisition.acquisition) symmetrize_matrix() (emukit.quadrature.methods.WarpedBayesianQuadratureModel static method)

T

TimeMetric (class in emukit.benchmarking.loop_benchmarking.metrics) transform() (emukit.quadrature.methods.WarpedBayesianQuadratureModel method) (emukit.quadrature.methods.warpings.IdentityWarping method) (emukit.quadrature.methods.warpings.SquareRootWarping method) (emukit.quadrature.methods.warpings.Warping method)

U

UncertaintySampling (class in emukit.quadrature.acquisitions) univariate_approximate_ground_truth_integral() (in module emukit.test_functions.quadrature.baselines) UnknownConstraintBayesianOptimizationLoop (class in emukit.bayesian_optimization.loops.unknown_constraint_bayesian_optimization_loop) update() (emukit.core.loop.loop_state.LoopState method) (emukit.core.loop.model_updaters.FixedIntervalUpdater method) (emukit.core.loop.model_updaters.ModelUpdater method) (emukit.core.loop.model_updaters.NoopModelUpdater method) update_batches() (emukit.bayesian_optimization.acquisitions.local_penalization.LocalPenalization method) (emukit.core.acquisition.integrated_acquisition.IntegratedHyperParameterAcquisition method) update_gradients_diag() (emukit.multi_fidelity.kernels.linear_multi_fidelity_kernel.LinearMultiFidelityKernel method) update_gradients_full() (emukit.multi_fidelity.kernels.linear_multi_fidelity_kernel.LinearMultiFidelityKernel method) update_parameters() (emukit.bayesian_optimization.acquisitions.entropy_search.EntropySearch method) (emukit.bayesian_optimization.acquisitions.max_value_entropy_search.MaxValueEntropySearch method) (emukit.bayesian_optimization.acquisitions.max_value_entropy_search.MUMBO method) (emukit.core.acquisition.acquisition.Acquisition method) (emukit.core.acquisition.acquisition.Product method) (emukit.core.acquisition.acquisition.Quotient method) (emukit.core.acquisition.acquisition.Sum method) (emukit.core.acquisition.integrated_acquisition.IntegratedHyperParameterAcquisition method) (emukit.quadrature.methods.warpings.Warping method)

update_pmin() (emukit.bayesian_optimization.acquisitions.entropy_search.EntropySearch method) UserFunction (class in emukit.core.loop.user_function) UserFunctionResult (class in emukit.core.loop.user_function_result) UserFunctionWrapper (class in emukit.core.loop.user_function)

V

VanillaBayesianQuadrature (class in emukit.quadrature.methods) VanillaBayesianQuadratureLoop (class in emukit.quadrature.loop) variance (emukit.model_wrappers.gpy_quadrature_wrappers.BrownianGPy property) (emukit.model_wrappers.gpy_quadrature_wrappers.ProductBrownianGPy property) (emukit.model_wrappers.gpy_quadrature_wrappers.ProductMatern12GPy property) (emukit.model_wrappers.gpy_quadrature_wrappers.ProductMatern32GPy property) (emukit.model_wrappers.gpy_quadrature_wrappers.ProductMatern52GPy property) (emukit.model_wrappers.gpy_quadrature_wrappers.RBFGPy property) (emukit.quadrature.interfaces.IBrownian property) (emukit.quadrature.interfaces.IProductBrownian property) (emukit.quadrature.interfaces.IProductMatern12 property) (emukit.quadrature.interfaces.IProductMatern32 property) (emukit.quadrature.interfaces.IProductMatern52 property) (emukit.quadrature.interfaces.IRBF property) (emukit.quadrature.kernels.QuadratureBrownian property) (emukit.quadrature.kernels.QuadratureProductBrownian property) (emukit.quadrature.kernels.QuadratureProductMatern12 property) (emukit.quadrature.kernels.QuadratureProductMatern32 property) (emukit.quadrature.kernels.QuadratureProductMatern52 property) (emukit.quadrature.kernels.QuadratureRBF property)

W

WarpedBayesianQuadratureModel (class in emukit.quadrature.methods) Warping (class in emukit.quadrature.methods.warpings)

WSABIL (class in emukit.quadrature.methods) WSABILLoop (class in emukit.quadrature.loop)

X

X (emukit.core.interfaces.models.IModel property) (emukit.core.loop.loop_state.LoopState property) (emukit.model_wrappers.gpy_model_wrappers.GPyModelWrapper property) (emukit.model_wrappers.gpy_model_wrappers.GPyMultiOutputWrapper property) (emukit.model_wrappers.gpy_quadrature_wrappers.BaseGaussianProcessGPy property) (emukit.model_wrappers.simple_gp_model.SimpleGaussianProcessModel property) (emukit.multi_fidelity.models.non_linear_multi_fidelity_model.NonLinearMultiFidelityModel property) (emukit.quadrature.methods.WarpedBayesianQuadratureModel property)

Y

Y (emukit.core.interfaces.models.IModel property) (emukit.core.loop.loop_state.LoopState property) (emukit.model_wrappers.gpy_model_wrappers.GPyModelWrapper property) (emukit.model_wrappers.gpy_model_wrappers.GPyMultiOutputWrapper property) (emukit.model_wrappers.gpy_quadrature_wrappers.BaseGaussianProcessGPy property) (emukit.model_wrappers.simple_gp_model.SimpleGaussianProcessModel property) (emukit.multi_fidelity.models.non_linear_multi_fidelity_model.NonLinearMultiFidelityModel property) (emukit.quadrature.methods.WarpedBayesianQuadratureModel property)