Index

A

all_emulators() (AutoEmulate static method) AutoEmulate (class in autoemulate.core.compare) autoemulate.calibration.base module autoemulate.calibration.bayes module autoemulate.calibration.history_matching module autoemulate.calibration.history_matching_dashboard module autoemulate.calibration.interval_excursion_set module autoemulate.core.compare module autoemulate.core.model_selection module autoemulate.core.plotting module autoemulate.core.sensitivity_analysis module autoemulate.core.tuner module autoemulate.emulators.base module

autoemulate.emulators.ensemble module autoemulate.emulators.gradient_boosting module autoemulate.emulators.lightgbm module autoemulate.emulators.polynomials module autoemulate.emulators.radial_basis_functions module autoemulate.emulators.random_forest module autoemulate.emulators.svm module autoemulate.simulations.base module autoemulate.simulations.epidemic module autoemulate.simulations.flow_problem module autoemulate.simulations.projectile module autoemulate.simulations.reaction_diffusion module

B

batch_size (PyTorchBackend attribute) BayesianCalibration (class in autoemulate.calibration.bayes) BayesianMixin (class in autoemulate.calibration.base)

bijective (BoundedDomainTransform attribute) bootstrap() (in module autoemulate.core.model_selection) BoundedDomainTransform (class in autoemulate.calibration.interval_excursion_set)

C

calculate_implausibility() (HistoryMatching method) calculate_subplot_layout() (in module autoemulate.core.plotting) cloud_sample() (HistoryMatchingWorkflow method)

codomain (BoundedDomainTransform attribute) compare() (AutoEmulate method) cross_validate() (in module autoemulate.core.model_selection)

D

default_emulators() (AutoEmulate static method) DeterministicEmulator (class in autoemulate.emulators.base) display() (HistoryMatchingDashboard method)

display_figure() (in module autoemulate.core.plotting) domain (BoundedDomainTransform attribute) DropoutEnsemble (class in autoemulate.emulators.ensemble) DropoutTorchBackend (class in autoemulate.emulators.base)

E

Emulator (class in autoemulate.emulators.base) Ensemble (class in autoemulate.emulators.ensemble) EnsembleMLP (class in autoemulate.emulators.ensemble) EnsembleMLPDropout (class in autoemulate.emulators.ensemble)

Epidemic (class in autoemulate.simulations.epidemic) epochs (PyTorchBackend attribute) evaluate() (in module autoemulate.core.model_selection) event() (in module autoemulate.simulations.projectile)

F

f() (in module autoemulate.simulations.projectile) filter_models_if_multioutput() (AutoEmulate method) fit() (Emulator method) fit_from_reinitialized() (AutoEmulate method) FlowProblem (class in autoemulate.simulations.flow_problem)

forward() (PolynomialRegression method) (RadialBasisFunctions method) (Simulator method) forward_batch() (Simulator method) forward_samples_spatiotemporal() (ReactionDiffusion method)

G

GaussianEmulator (class in autoemulate.emulators.base) GaussianProcessEmulator (class in autoemulate.emulators.base) generate_param_bounds() (HistoryMatching static method) generate_samples() (HistoryMatchingWorkflow method) get_models() (AutoEmulate method) get_nroy() (HistoryMatching method) get_outputs_as_dict() (Simulator method) get_parameter_idx() (Simulator method) get_random_params() (Emulator class method) get_ro() (HistoryMatching method) get_transforms() (AutoEmulate method) get_tune_params() (DropoutEnsemble static method) (Emulator static method) (Ensemble static method) (EnsembleMLP static method) (EnsembleMLPDropout static method) (GradientBoosting static method) (LightGBM static method) (PolynomialRegression static method) (RadialBasisFunctions static method) (RandomForest static method) (SupportVectorMachine static method)

get_wave_results() (HistoryMatchingWorkflow method) GradientBoosting (class in autoemulate.emulators.gradient_boosting)

H

HistoryMatching (class in autoemulate.calibration.history_matching)

HistoryMatchingDashboard (class in autoemulate.calibration.history_matching_dashboard) HistoryMatchingWorkflow (class in autoemulate.calibration.history_matching)

I

in_dim (Simulator property) interval_logprob() (IntervalExcursionSetCalibration method) interval_prob_from_mu_sigma() (IntervalExcursionSetCalibration method) IntervalExcursionSetCalibration (class in autoemulate.calibration.interval_excursion_set) is_fitted_ (Emulator attribute) is_multioutput() (DropoutEnsemble static method) (Emulator static method) (Ensemble static method) (EnsembleMLP static method) (GradientBoosting static method) (LightGBM static method) (PolynomialRegression static method) (RadialBasisFunctions static method) (RandomForest static method) (SupportVectorMachine static method)

L

LightGBM (class in autoemulate.emulators.lightgbm) list_emulators() (AutoEmulate static method) load() (AutoEmulate method) load_model() (AutoEmulate static method) log_abs_det_jacobian() (BoundedDomainTransform method)

log_compare() (AutoEmulate method) logger (BayesianMixin attribute) loss_fn (PyTorchBackend attribute) loss_func() (PyTorchBackend method) loss_history (PyTorchBackend attribute) lr (PyTorchBackend attribute)

M

MIN_VAR (IntervalExcursionSetCalibration attribute) model (BayesianMixin attribute) (SklearnBackend attribute) model() (BayesianCalibration method) (IntervalExcursionSetCalibration method) model_name() (Emulator class method) module autoemulate.calibration.base autoemulate.calibration.bayes autoemulate.calibration.history_matching autoemulate.calibration.history_matching_dashboard autoemulate.calibration.interval_excursion_set autoemulate.core.compare autoemulate.core.model_selection autoemulate.core.plotting autoemulate.core.sensitivity_analysis autoemulate.core.tuner autoemulate.emulators.base autoemulate.emulators.ensemble autoemulate.emulators.gradient_boosting autoemulate.emulators.lightgbm autoemulate.emulators.polynomials autoemulate.emulators.radial_basis_functions autoemulate.emulators.random_forest autoemulate.emulators.svm autoemulate.simulations.base autoemulate.simulations.epidemic autoemulate.simulations.flow_problem autoemulate.simulations.projectile autoemulate.simulations.reaction_diffusion

N

normalize_y (SklearnBackend attribute)

O

observations (BayesianMixin attribute) optimizer (PyTorchBackend attribute)

optimizer_cls (PyTorchBackend attribute) out_dim (Simulator property) output_names (Simulator property)

P

param_bounds (Simulator property) param_names (Simulator property) parameters_range (Simulator property) plot() (AutoEmulate method) plot_morris() (SensitivityAnalysis static method) plot_run() (HistoryMatchingWorkflow method) plot_sa_heatmap() (SensitivityAnalysis method) plot_samples() (IntervalExcursionSetCalibration method) plot_sobol() (SensitivityAnalysis static method) plot_wave() (HistoryMatchingWorkflow method) plot_wave_evolution() (HistoryMatchingWorkflow method) plot_xy() (in module autoemulate.core.plotting) PolynomialRegression (class in autoemulate.emulators.polynomials) posterior_predictive() (BayesianMixin method)

predict() (DeterministicEmulator method) (Emulator method) (GaussianEmulator method) (GaussianProcessEmulator method) (ProbabilisticEmulator method) predict_mean() (Emulator method) predict_mean_and_variance() (DeterministicEmulator method) (Emulator method) (ProbabilisticEmulator method) ProbabilisticEmulator (class in autoemulate.emulators.base) probablistic_emulators() (AutoEmulate static method) Projectile (class in autoemulate.simulations.projectile) ProjectileMultioutput (class in autoemulate.simulations.projectile) pytorch_emulators() (AutoEmulate static method) PyTorchBackend (class in autoemulate.emulators.base)

R

r2_metric() (in module autoemulate.core.model_selection) RadialBasisFunctions (class in autoemulate.emulators.radial_basis_functions) RandomForest (class in autoemulate.emulators.random_forest) reaction_diffusion() (in module autoemulate.simulations.reaction_diffusion) ReactionDiffusion (class in autoemulate.simulations.reaction_diffusion) refit_emulator() (HistoryMatchingWorkflow method)

rmse_metric() (in module autoemulate.core.model_selection) run() (HistoryMatchingWorkflow method) (SensitivityAnalysis method) (Tuner method) run_mcmc() (BayesianMixin method) run_smc() (IntervalExcursionSetCalibration method) run_waves() (HistoryMatchingWorkflow method)

S

sample_inputs() (Simulator method) sample_tensor() (HistoryMatchingWorkflow method) save() (AutoEmulate method) scheduler_cls (Emulator attribute) (PyTorchBackend attribute) scheduler_params() (Emulator class method) scheduler_setup() (Emulator method) SensitivityAnalysis (class in autoemulate.core.sensitivity_analysis) short_name() (Emulator class method) shuffle (PyTorchBackend attribute) simulate() (HistoryMatchingWorkflow method) simulate_epidemic() (in module autoemulate.simulations.epidemic) simulate_projectile() (in module autoemulate.simulations.projectile) simulate_projectile_multioutput() (in module autoemulate.simulations.projectile)

simulate_reaction_diffusion() (in module autoemulate.simulations.reaction_diffusion) Simulator (class in autoemulate.simulations.base) simulator_base() (in module autoemulate.simulations.projectile) simulator_name() (Simulator class method) SklearnBackend (class in autoemulate.emulators.base) supports_grad (Emulator attribute) (GaussianEmulator attribute) (PyTorchBackend attribute) (RadialBasisFunctions attribute) (SklearnBackend attribute) supports_uq (DeterministicEmulator attribute) (Emulator attribute) (ProbabilisticEmulator attribute) (PyTorchBackend attribute) SupportVectorMachine (class in autoemulate.emulators.svm)

T

to_arviz() (BayesianMixin method) to_getdist() (BayesianMixin static method)

top_n_sobol_params() (SensitivityAnalysis static method) Tuner (class in autoemulate.core.tuner)

V

verbose (PyTorchBackend attribute)

X

x_transform (Emulator attribute)

Y

y_lower (IntervalExcursionSetCalibration property) y_mean (SklearnBackend attribute)

y_std (SklearnBackend attribute) y_transform (Emulator attribute) y_upper (IntervalExcursionSetCalibration property)