Index

A

all_emulators() (AutoEmulate static method) AutoEmulate (class in autoemulate.core.compare) autoemulate.calibration.bayes module autoemulate.calibration.history_matching module autoemulate.calibration.history_matching_dashboard 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) bootstrap() (in module autoemulate.core.model_selection)

C

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

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

D

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

display_figure() (in module autoemulate.core.plotting) 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) FlowProblem (class in autoemulate.simulations.flow_problem)

forward() (PolynomialRegression method) (RadialBasisFunctions method) (Simulator method) forward_batch() (Simulator method) forward_batch_skip_failures() (Simulator 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_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)

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) 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) log_compare() (AutoEmulate method)

loss_fn (PyTorchBackend attribute) loss_func() (PyTorchBackend method) loss_history (PyTorchBackend attribute) lr (PyTorchBackend attribute)

M

model (SklearnBackend attribute) model() (BayesianCalibration method) model_name() (Emulator class method) module autoemulate.calibration.bayes autoemulate.calibration.history_matching autoemulate.calibration.history_matching_dashboard 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

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_sobol() (SensitivityAnalysis static method) plot_xy() (in module autoemulate.core.plotting) PolynomialRegression (class in autoemulate.emulators.polynomials) posterior_predictive() (BayesianCalibration method)

predict() (DeterministicEmulator method) (Emulator method) (GaussianEmulator method) (GaussianProcessEmulator method) (ProbabilisticEmulator method) predict_mean_and_variance() (ProbabilisticEmulator method) ProbabilisticEmulator (class in autoemulate.emulators.base) Projectile (class in autoemulate.simulations.projectile) ProjectileMultioutput (class in autoemulate.simulations.projectile) 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)

rmse_metric() (in module autoemulate.core.model_selection) run() (HistoryMatchingWorkflow method) (SensitivityAnalysis method) (Tuner method) run_mcmc() (BayesianCalibration 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) SupportVectorMachine (class in autoemulate.emulators.svm)

T

to_arviz() (BayesianCalibration method)

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

U

update_simulator_bounds() (HistoryMatchingWorkflow method)

V

verbose (PyTorchBackend attribute)

X

x_transform (Emulator attribute)

Y

y_mean (SklearnBackend attribute)

y_std (SklearnBackend attribute) y_transform (Emulator attribute)