Index

_

_agent (ReinforcementLearning attribute) _deteministic_actions (ReinforcementLearning attribute) _interaction_steps (ReinforcementLearning attribute)

_mode (ReinforcementLearning attribute) _render_mode (ReinforcementLearning attribute) _total_timesteps (ReinforcementLearning attribute) _vectorized_environment (ReinforcementLearning attribute)

A

a (Beta attribute) (DynamicLearningRateDecay attribute) (SequentialMonteCarlo attribute) accepted (MetropolisHastings attribute) accepted_interval (MetropolisHastings attribute) activation_per_hidden_layer (GaussianNeuralNetwork attribute) activation_per_hidden_layer_lst (GaussianBayesianNeuralNetwork attribute) active_sampler_obj (ActiveLearningClassifier attribute) ActiveLearningClassifier (class in queens.utils.classifier) Adam (class in queens.stochastic_optimizers.adam) Adamax (class in queens.stochastic_optimizers.adamax) adams_training_rate (GaussianBayesianNeuralNetwork attribute) (GaussianNeuralNetwork attribute) (HeteroskedasticGaussianProcess attribute) AdaptiveSampling (class in queens.iterators.adaptive_sampling) add() (CollectionObject method) add_data_and_to_dict() (JobOptions method) add_nugget_to_diagonal() (in module queens.utils.numpy_linalg) Adjoint (class in queens.models.adjoint) adjoint_file (Adjoint attribute)

advi_iterations (HamiltonianMonteCarlo attribute) (NUTS attribute) agawal09a() (in module queens.example_simulator_functions.agawal09) algorithm (LeastSquares attribute) (Optimization attribute) alpha (DynamicLearningRateDecay attribute) animation_bool (BMFMCVisualization attribute) annotate_points() (in module queens.visualization.sa_visualization) approx_type (LogpdfGP attribute) as_smc_rejuvenation_step (MetropolisHastings attribute) assemble_rsync_command() (in module queens.utils.rsync) assemble_x_red_stdizd() (in module queens.models.bmfmc) assign_hyperparameters() (GaussianProcess method) assign_variable_value() (in module queens.utils.input_to_script) at_least_2d() (in module queens.utils.numpy_array) at_least_3d() (in module queens.utils.numpy_array) average_computation() (ExponentialAveraging method) (IterativeAveraging method) (MovingAveraging method) (PolyakAveraging method) axs_convergence_plots (VIVisualization attribute)

B

b (Beta attribute) (DynamicLearningRateDecay attribute) (SequentialMonteCarlo attribute) base_dir (ExperimentalDataReader attribute) base_directory() (in module queens.utils.config_directories) base_distribution (MixtureModel attribute) basis (Fourier attribute) basis_dimension (Fourier attribute) batch_size (GaussianNeuralNetwork attribute) (LogpdfGP attribute) BBVI (class in queens.iterators.bbvi) Bernoulli (class in queens.distributions.bernoulli) Beta (class in queens.distributions.beta) beta (RMSprop attribute) beta_1 (Adam attribute) (Adamax attribute) beta_2 (Adam attribute) (Adamax attribute) binarize() (ClassificationIterator method) block (PvdFile attribute) BMFGaussian (class in queens.models.likelihoods.bmf_gaussian)

BMFIA (class in queens.iterators.bmfia) BmfiaInterface (class in queens.models.likelihoods.bmf_gaussian) BMFIAVisualization (class in queens.visualization.bmfia_visualization) BMFMC (class in queens.iterators.bmfmc) (class in queens.models.bmfmc) BmfmcInterface (class in queens.models.bmfmc) BMFMCVisualization (class in queens.visualization.bmfmc_visualization) bnn_model (GaussianBayesianNeuralNetwork attribute) bootstrap() (in module queens.iterators.sobol_index_gp_uncertainty_utils.utils_estimate_indices) borehole83_hifi() (in module queens.example_simulator_functions.borehole83) borehole83_lofi() (in module queens.example_simulator_functions.borehole83) bounds (FiniteDifference attribute) (Optimization attribute) branin78_hifi() (in module queens.example_simulator_functions.branin78) branin78_lofi() (in module queens.example_simulator_functions.branin78) branin78_medfi() (in module queens.example_simulator_functions.branin78) build_approximation() (BMFGaussian static method) (BmfiaInterface method) (BMFMC method) (BmfmcInterface method) build_html_coverage_report() (in module queens.utils.cli) build_remote_environment() (RemoteConnection method)

C

c (DynamicLearningRateDecay attribute) calc_ess() (in module queens.utils.sequential_monte_carlo) calc_new_ess() (SequentialMonteCarlo method) calc_new_gamma() (SequentialMonteCarlo method) calc_new_weights() (SequentialMonteCarlo method) calc_second_order (SobolIndex attribute) calc_train_factor() (LogpdfGP method) calculate_basis() (DimensionMethods1D static method) (DimensionMethods2D static method) (DimensionMethods3D static method) calculate_covariance() (DimensionMethods1D static method) (DimensionMethods2D static method) (DimensionMethods3D static method) calculate_covariance_matrix() (KarhunenLoeve method) calculate_extended_gammas() (BMFMC method) calculate_index() (SobolIndexGPUncertainty method) calculate_indices_first_total_order() (in module queens.iterators.sobol_index_gp_uncertainty_utils.utils_estimate_indices) calculate_indices_second_order_gp_mean() (in module queens.iterators.sobol_index_gp_uncertainty_utils.utils_estimate_indices) calculate_indices_second_order_gp_realizations() (in module queens.iterators.sobol_index_gp_uncertainty_utils.utils_estimate_indices) calculate_indices_third_order() (in module queens.iterators.sobol_index_gp_uncertainty_utils.utils_estimate_indices) calculate_initial_x_train() (BMFIA class method) calculate_optimal_X_train() (BMFMC method) calculate_p_yhf_mean() (BMFMC method) calculate_p_yhf_var() (BMFMC method) calculate_second_order (Sampler attribute) (SobolIndexEstimator attribute) (SobolIndexGPUncertainty attribute) calculate_third_order (SobolIndexEstimatorThirdOrder attribute) (SobolIndexGPUncertainty attribute) (ThirdOrderSampler attribute) Categorical (class in queens.distributions.categorical) categories (Categorical attribute) cauchy_schwarz_divergence() (in module queens.iterators.adaptive_sampling) cdf() (Beta method) (Exponential method) (FreeVariable method) (LogNormal method) (MeanFieldNormal method) (Mixture method) (Multinomial method) (Normal method) (Particle method) (Uniform method) chains (MetropolisHastings attribute) check_convergence() (Fourier method) check_coordinates_return_dimensions() (BmfiaInterface static method) check_for_reference() (in module queens.utils.from_config_create) check_if_in_desired_dat_section() (FourcDat method) check_if_path_exists() (in module queens.utils.path) check_if_valid_options() (in module queens.utils.valid_options) check_precalculated() (Optimization method) check_valid_filter_options() (CsvFile class method) chol_k_train_train (LogpdfGP attribute) cholesky_k_mat (JittedGaussianProcess attribute) choose_new_samples() (AdaptiveSampling method) classification_function (ClassificationIterator attribute) ClassificationIterator (class in queens.iterators.classification) ClassificationVisualization (class in queens.visualization.classification) classified_outputs (ClassificationIterator attribute) Classifier (class in queens.utils.classifier) classifier (ClassificationIterator attribute) classifier_obj (ActiveLearningClassifier attribute) (Classifier attribute) cli_logging() (in module queens.utils.cli) CLIError Cluster (class in queens.schedulers.cluster) code (QueensPythonCode attribute) coefficient (ExponentialAveraging attribute) CollectionObject (class in queens.utils.collection) compute_pyhf_statistics() (BMFMC method) compute_pymc_reference() (BMFMC method) compute_step_with_bounds() (in module queens.utils.fd_jacobian) conditional_prediction_decorator() (in module queens.visualization.classification) ConditionalDecisionBoundaryDisplay (class in queens.visualization.classification) conduct_reparameterization() (FullRankNormal method) (MeanFieldNormal method) confidence_level (ElementaryEffects attribute) (SobolIndex attribute) configure_keras() (in module queens.utils.configure_tensorflow) configure_tensorflow() (in module queens.utils.configure_tensorflow) cons (Optimization attribute) construct_error_from_command() (SubprocessError class method) construct_error_from_options() (InvalidOptionError class method)

construct_variational_parameters() (FullRankNormal static method) (Joint method) (MeanFieldNormal static method) (MixtureModel method) (Particle method) control_variate (ControlVariates attribute) control_variates_scaling_type (BBVI attribute) ControlVariates (class in queens.iterators.control_variates) convert_to_dict() (in module queens.visualization.sa_visualization) (in module queens.visualization.surrogate_visualization) convert_to_numpy() (ReinforcementLearning method) convert_to_pandas() (in module queens.visualization.sa_visualization) convex_hull_size (Fourier attribute) coord_cols (BMFIA attribute) coord_labels (BMFGaussian attribute) (BmfiaInterface attribute) coordinate_labels (ExperimentalDataReader attribute) coordinates (Fourier attribute) coordinates_label_experimental (EnsightFile attribute) coords_dict (FourcDat attribute) coords_experimental_data (BMFIA attribute) coords_mat (BMFGaussian attribute) (BmfiaInterface attribute) copy_files_to_experiment_dir() (Cluster method) copy_to_remote() (RemoteConnection method) core_run() (AdaptiveSampling method) (BBVI method) (BMFIA method) (BMFMC method) (ClassificationIterator method) (ControlVariates method) (Data method) (ElementaryEffects method) (Grid method) (LatinHypercubeSampling method) (LeastSquares method) (MetropolisHastings method) (MLMC method) (MonteCarlo method) (Optimization method) (Points method) (PolynomialChaos method) (ReinforcementLearning method) (RPVI method) (SequentialMonteCarlo method) (SequentialMonteCarloChopin method) (SobolIndex method) (SobolIndexGPUncertainty method) (SobolSequence method) corr_length (Fourier attribute) (KarhunenLoeve attribute) cost_cv (ControlVariates attribute) cost_estimators (MLMC attribute) cost_model (ControlVariates attribute) cov_matrix (KarhunenLoeve attribute) covariance (Fourier attribute) (MetropolisHastingsPyMC attribute) (Particle attribute) covariance_index (Fourier attribute) create_chaospy_distribution() (in module queens.iterators.polynomial_chaos) create_chaospy_joint_distribution() (in module queens.iterators.polynomial_chaos) create_code_section() (QueensPythonCode static method) create_collection_object_from_dict() (CollectionObject class method) create_directory() (in module queens.utils.config_directories) create_folder_if_not_existent() (in module queens.utils.path) create_gym_environment() (in module queens.models.reinforcement_learning.utils.gymnasium) create_initialization_call() (in module queens.utils.input_to_script) create_initialization_call_from_class_and_arguments() (in module queens.utils.input_to_script) create_input_templates_dict() (Jobscript static method) create_latent_distribution() (PieceWise method) create_main (QueensPythonCode attribute) create_pool() (in module queens.utils.pool) create_remote_directory() (RemoteConnection method) create_sb3_agent() (in module queens.models.reinforcement_learning.utils.stable_baselines3) create_script_from_input_file() (in module queens.utils.input_to_script) criterion (LatinHypercubeSampling attribute) cs_div_criterion (AdaptiveSampling attribute) CsvFile (class in queens.data_processors.csv_file) current_average (IterativeAveraging attribute) current_dat_section (FourcDat attribute) current_job_directory() (in module queens.utils.config_directories) currin88_hifi() (in module queens.example_simulator_functions.currin88) currin88_lofi() (in module queens.example_simulator_functions.currin88) cut_off (KarhunenLoeve attribute)

D

dat_sections (FourcDat attribute) Data (class in queens.iterators.data) data (MovingAveraging attribute) data_attribute (PvdFile attribute) data_processor (ExperimentalDataReader attribute) (Jobscript attribute) debug (GlobalSettings attribute) decay_factor (StepwiseLearningRateDecay attribute) decay_interval (StepwiseLearningRateDecay attribute) default_classification_function() (in module queens.iterators.classification) desired_dat_sections (FourcDat attribute) dict (Parameters attribute) dict_replace_infs() (in module queens.utils.input_to_script) dim (ParticlesChopinDistribution property) dimension (Fourier attribute) (KarhunenLoeve attribute) (Particle attribute), [1] dimension_lengthscales (GaussianProcess attribute) (VariationalGaussianProcess attribute) dimension_output (VariationalGaussianProcess attribute) DimensionMethods1D (class in queens.parameters.random_fields.fourier) DimensionMethods2D (class in queens.parameters.random_fields.fourier) DimensionMethods3D (class in queens.parameters.random_fields.fourier) distances() (in module queens.models.logpdf_gp) distribution (PieceWise attribute) (PolynomialChaos attribute)

distributions (Joint attribute) distributions_dimension (Joint attribute) distributions_n_parameters (Joint attribute) diverse_subset_design() (BMFMC method) do_mh_step() (MetropolisHastings method) do_processing() (in module queens.utils.process_outputs) draw() (Beta method) (Categorical method) (Exponential method) (Fourier method) (FreeVariable method) (FullRankNormal method) (Joint method) (KarhunenLoeve method) (LogNormal method) (MeanFieldNormal method), [1] (Mixture method) (MixtureModel method) (Multinomial method) (Normal method) (Particle method), [1] (PieceWise method) (Uniform method) draw_samples() (Parameters method) draw_trace() (SequentialMonteCarlo method) driver (Simulation attribute) DynamicLearningRateDecay (class in queens.stochastic_optimizers.learning_rate_decay)

E

early_max_treedepth (NUTS attribute) eigenbasis (KarhunenLoeve attribute) eigendecomp_cov_matrix() (KarhunenLoeve method) eigenfunc (Data attribute) eigenfunc_random_fields (BMFMC attribute) eigenvals (BMFMC attribute) eigenvalues (KarhunenLoeve attribute) eigenvectors (KarhunenLoeve attribute) element_centers (FourcDat attribute) element_topology (FourcDat attribute) ElementaryEffects (class in queens.iterators.elementary_effects) EnsightFile (class in queens.data_processors.ensight_file) eps (Adam attribute) (Adamax attribute) (RMSprop attribute) ess (BBVI attribute) (SequentialMonteCarlo attribute) ess_cur (SequentialMonteCarlo attribute) estimate() (SobolIndexEstimator method) (SobolIndexEstimatorThirdOrder method) estimate_bandwidth_for_kde() (in module queens.utils.pdf_estimation) (in module queens.utils.process_outputs) estimate_cdf() (in module queens.utils.process_outputs) estimate_cov() (in module queens.utils.process_outputs) estimate_icdf() (in module queens.utils.process_outputs) estimate_mean() (in module queens.utils.process_outputs) estimate_pdf() (in module queens.utils.pdf_estimation) (in module queens.utils.process_outputs) estimate_result_interval() (in module queens.utils.process_outputs) estimate_var() (in module queens.utils.process_outputs) estimates_first_order (SobolIndexEstimator attribute) estimates_second_order (SobolIndexEstimator attribute) estimates_third_order (SobolIndexEstimatorThirdOrder attribute) estimates_total_order (SobolIndexEstimator attribute) eval_log_likelihood() (AdaptiveSampling method) (BBVI method) (MetropolisHastings method) (MetropolisHastingsPyMC method) (SequentialMonteCarlo method) (SequentialMonteCarloChopin method) eval_log_likelihood_grad() (MetropolisHastingsPyMC method) eval_log_prior() (MetropolisHastings method) (SequentialMonteCarlo method) eval_log_prior_grad() (MetropolisHastingsPyMC method) eval_model() (BMFIA method) (Optimization method) evaluate() (BMFGaussian method) (BmfiaInterface method) (BMFMC method) (BmfmcInterface method) (FiniteDifference method) (Gaussian method) (LogpdfGP method) (Pool method) (ReinforcementLearning method) (Simulation method) (StatisticsSecondOrderEstimates method) (StatisticsSobolIndexEstimates method) (StatisticsThirdOrderSobolIndexEstimates method)

evaluate_and_gradient() (BmfiaInterface method) (RPVI method) evaluate_and_gradient_method (BmfiaInterface attribute) evaluate_and_gradient_per_coordinate() (BmfiaInterface static method) evaluate_and_gradient_per_time_step() (BmfiaInterface static method) evaluate_fd_positions() (Optimization method) evaluate_finite_differences() (FiniteDifference method) evaluate_from_output() (BMFGaussian method) evaluate_HF_model_for_X_train() (BMFIA method) evaluate_LF_model_for_X_train() (BMFIA method) evaluate_mean_and_std() (LogpdfGP static method) evaluate_method (BmfiaInterface attribute) evaluate_mf_likelihood() (BMFGaussian method) evaluate_per_coordinate() (BmfiaInterface static method) evaluate_per_time_step() (BmfiaInterface static method) evaluate_statistics() (SobolIndexGPUncertainty method) example_simulator_function_by_name() (in module queens.example_simulator_functions) expand_random_field_realization() (Parameters method) expand_training_data() (BMFIA method) expanded_representation() (Fourier method) (KarhunenLoeve method) (PieceWise method) expectation_cv (ControlVariates attribute) expected_filter_by_range (CsvFile attribute) expected_filter_by_row_index (CsvFile attribute) expected_filter_by_target_values (CsvFile attribute) expected_filter_entire_file (CsvFile attribute) experiment_dir (JobOptions attribute) experiment_directory() (in module queens.utils.config_directories) experiment_name (GlobalSettings attribute) (JobOptions attribute) experimental_data (EnsightFile attribute) ExperimentalDataReader (class in queens.utils.experimental_data_reader) experiments_base_directory() (in module queens.utils.config_directories) explained_variance (KarhunenLoeve attribute) Exponential (class in queens.distributions.exponential) ExponentialAveraging (class in queens.utils.iterative_averaging) export() (SimulationMetadata method) export_dict() (FullRankNormal method) (Joint method) (MeanFieldNormal method) (Mixture method) (MixtureModel method) (Particle method) extern_imports (QueensPythonCode attribute) external_geometry (EnsightFile attribute) extract_block_diag() (in module queens.utils.numpy_array) extract_parameters_of_parameter_distributions() (in module queens.iterators.sobol_index)

F

f_mean_train (BMFMC attribute) fd_jacobian() (in module queens.utils.fd_jacobian) features_config (BMFIA attribute) (BMFMC attribute) feynman_kac_model (SequentialMonteCarloChopin attribute) field_dimension (Fourier attribute) field_name (PvdFile attribute) fig_convergence_plots (VIVisualization attribute) figures (SAVisualization attribute) (SurrogateVisualization attribute) file_name (ExperimentalDataReader attribute) file_path (SimulationMetadata attribute) FileTypeError filter() (LogFilter method) filter_and_manipulate_raw_data() (CsvFile method) (EnsightFile method) (NumpyFile method) (PvdFile method) (TxtFile method) filter_range (CsvFile attribute) filter_target_values (CsvFile attribute) filter_tol (CsvFile attribute) filter_type (CsvFile attribute) finish_and_clean() (FourcDat method) finite_difference_method (FiniteDifference attribute) FiniteDifference (class in queens.models.finite_difference) first_effect_variance() (in module queens.example_simulator_functions.ishigami90) (in module queens.example_simulator_functions.sobol_g_function) first_order_estimator (SobolIndexEstimator attribute) first_order_indices() (in module queens.example_simulator_functions.ishigami90) (in module queens.example_simulator_functions.sobol_g_function) fisher_information_matrix() (FullRankNormal method) (Joint method) (MeanFieldNormal method) (MixtureModel method) (Particle method)

fit() (IdentityScaler method) (Scaler method) (StandardScaler method) format() (NewLineFormatter method) Fourc (class in queens.drivers.fourc) FourcDat (class in queens.external_geometries.fourc_dat) Fourier (class in queens.parameters.random_fields.fourier) frames (ReinforcementLearning attribute) FreeVariable (class in queens.distributions.free_variable) from_config_create() (BMFIAVisualization class method) (BMFMCVisualization class method) (ClassificationVisualization class method) (GridIteratorVisualization class method) (Predictor class method) (Sampler class method) (SAVisualization class method) (SobolIndexEstimator class method) (SobolIndexEstimatorThirdOrder class method) (StatisticsSobolIndexEstimates class method) (StatisticsThirdOrderSobolIndexEstimates class method) (SurrogateVisualization class method) (ThirdOrderSampler class method) (VIVisualization class method) from_config_create_distribution() (Mixture class method) from_config_create_fields_code() (in module queens.utils.input_to_script) from_config_create_iterator() (in module queens.utils.from_config_create) from_config_create_object() (in module queens.utils.from_config_create) from_config_create_parameters() (in module queens.parameters.parameters) (in module queens.utils.input_to_script) from_config_create_script() (in module queens.utils.input_to_script) from_estimator() (ConditionalDecisionBoundaryDisplay class method) FullRankNormal (class in queens.variational_distributions.full_rank_normal) Function (class in queens.drivers.function) function (Function attribute) function_requires_job_id (Function attribute) function_wrapper() (Function static method)

G

gamma (MetropolisHastings attribute) gamma_cur (SequentialMonteCarlo attribute) gammas (SequentialMonteCarlo attribute) gammas_ext_mc (BMFMC attribute) gammas_ext_train (BMFMC attribute) gardner14a() (in module queens.example_simulator_functions.gardner14a) gather_metadata_and_write_to_csv() (in module queens.utils.cli) Gaussian (class in queens.models.likelihoods.gaussian) gaussian_1d_logpdf() (in module queens.example_simulator_functions.gaussian_logpdf) gaussian_2d_logpdf() (in module queens.example_simulator_functions.gaussian_logpdf) gaussian_4d_logpdf() (in module queens.example_simulator_functions.gaussian_logpdf) gaussian_mixture_4d_logpdf() (in module queens.example_simulator_functions.gaussian_mixture_logpdf) GaussianBayesianNeuralNetwork (class in queens.models.surrogates.bayesian_neural_network) GaussianNeuralNetwork (class in queens.models.surrogates.gaussian_neural_network) GaussianProcess (class in queens.models.surrogates.gaussian_process) generate_code() (QueensPythonCode method) generate_output_cfbgp() (LogpdfGP static method) generate_output_cgpmap_2() (LogpdfGP static method) generate_output_gpmap_1() (LogpdfGP static method) generate_script() (QueensPythonCode method) geometric_set_data (EnsightFile attribute) geometric_target (EnsightFile attribute) get_all_samples() (SobolIndex method) get_check_array_dimension_and_reshape() (MeanFieldNormal static method) get_cli_options() (in module queens.utils.cli) get_coordinates_of_desired_geometric_sets() (FourcDat method) get_current_dat_section() (FourcDat method) get_design_method() (BMFIA class method) (BMFMC method) get_desired_dat_sections() (FourcDat method) get_dim() (DimensionMethods1D static method) (DimensionMethods2D static method) (DimensionMethods3D static method) get_dimension_hyperparameters() (GaussianProcess method) get_elements_belonging_to_desired_material() (FourcDat method) get_experimental_data() (ExperimentalDataReader method) get_free_local_port() (RemoteConnection method) get_free_remote_port() (RemoteConnection method) get_hf_training_data() (BMFMC method) get_importance_sampling_weights() (BBVI method) get_log_posterior_unnormalized() (BBVI method) get_log_prior() (BBVI method) get_materials() (FourcDat method) get_metadata_from_experiment_dir() (in module queens.utils.metadata) get_module_attribute() (in module queens.utils.imports) get_module_class() (in module queens.utils.imports) (in module queens.utils.input_to_script) get_nodes_of_interest() (FourcDat method) get_only_desired_coordinates() (FourcDat method) get_only_desired_topology() (FourcDat method) get_option() (in module queens.utils.valid_options) get_particles_and_weights() (AdaptiveSampling method) get_plotter() (GridIteratorVisualization method) get_port() (in module queens.utils.remote_operations) get_positions() (in module queens.utils.fd_jacobian) get_random_fields_and_truncated_basis() (BMFMC method) get_raw_data_from_file() (CsvFile method) (EnsightFile method) (NumpyFile method) (PvdFile method) (TxtFile method) get_read_in_jobscript_template() (Jobscript static method) get_state() (JittedGaussianProcess method)

get_str_table() (in module queens.utils.printing) get_supported_sb3_policies() (in module queens.models.reinforcement_learning.utils.stable_baselines3) get_topology() (FourcDat method) git_hash (GlobalSettings attribute) global_settings (QueensPythonCode attribute) global_settings_context (QueensPythonCode attribute) GlobalSettings (class in queens.global_settings) gnuplot_gp_convergence() (in module queens.visualization.gnuplot_vis) gp_model (Predictor attribute) grad() (Adjoint method) (BMFGaussian method) (BMFMC method) (FiniteDifference method) (Gaussian method) (GaussianBayesianNeuralNetwork method) (GaussianNeuralNetwork method) (GaussianProcess method) (HeteroskedasticGaussianProcess method) (JittedGaussianProcess method) (LogpdfGP method) (ReinforcementLearning method) (Simulation method) (VariationalGaussianProcess method) grad_joint_logpdf() (Parameters method) grad_log_evidence_matern_3_2() (in module queens.models.surrogates.utils.kernel_jitted) grad_log_evidence_squared_exponential() (in module queens.models.surrogates.utils.kernel_jitted) grad_log_evidence_value (JittedGaussianProcess attribute) grad_log_pdf_d_ylf() (BMFGaussian method) grad_logpdf() (Beta method) (Exponential method) (Fourier method) (FreeVariable method) (KarhunenLoeve method) (LogNormal method) (MeanFieldNormal method) (Mixture method) (Normal method) (PieceWise method) (Uniform method) grad_logpdf_var() (MeanFieldNormal method) grad_params_log_variational_mat (BBVI attribute) grad_params_logpdf() (FullRankNormal method) (Joint method) (MeanFieldNormal method) (MixtureModel method) (Particle method) grad_params_reparameterization() (FullRankNormal method) (MeanFieldNormal method) grad_posterior_mean_matern_3_2() (in module queens.models.surrogates.utils.kernel_jitted) grad_posterior_mean_squared_exponential() (in module queens.models.surrogates.utils.kernel_jitted) grad_posterior_var_matern_3_2() (in module queens.models.surrogates.utils.kernel_jitted) grad_posterior_var_squared_exponential() (in module queens.models.surrogates.utils.kernel_jitted) grad_sample_logpdf() (FullRankNormal method) (MeanFieldNormal method) gradient_data_processor (Jobscript attribute) gradient_driver (Adjoint attribute) gradient_identity_multi_fidelity_mean_fun() (JittedGaussianProcess static method) gradient_mean_function (GaussianNeuralNetwork attribute) (JittedGaussianProcess attribute) gradient_sinus_test_fun() (in module queens.example_simulator_functions.sinus) gradient_zero_mean_fun() (JittedGaussianProcess static method) Grid (class in queens.iterators.grid) grid_dict (Grid attribute) GridIteratorVisualization (class in queens.visualization.grid_iterator_visualization)

H

HamiltonianMonteCarlo (class in queens.iterators.hamiltonian_monte_carlo) header_row (CsvFile attribute) HeteroskedasticGaussianProcess (class in queens.models.surrogates.heteroskedastic_gaussian_process) hf_data_iterator (BMFMC attribute) hf_model (BMFIA attribute) high_fidelity_model (BMFMC attribute)

hmc_burn_in (LogpdfGP attribute) hmc_steps (LogpdfGP attribute) hyper_params (JittedGaussianProcess attribute) hyperparameter_log_likelihood() (LogpdfGP static method) hyperparameter_log_prior() (LogpdfGP static method) hyperparameter_log_prob() (LogpdfGP static method) hyperparameters (LogpdfGP attribute)

I

identity_multi_fidelity_mean_fun() (JittedGaussianProcess static method) IdentityScaler (class in queens.utils.random_process_scaler) imports (QueensPythonCode attribute) index_column (CsvFile attribute) index_estimator (SobolIndexGPUncertainty attribute) init_distribution_wrapper() (MetropolisHastingsPyMC method) init_mcmc_method() (HamiltonianMonteCarlo method) (MetropolisHastingsPyMC method) (NUTS method) init_scaler() (in module queens.utils.gpflow_transformations) init_strategy (HamiltonianMonteCarlo attribute) (NUTS attribute) initial_design (BMFMC attribute) initial_guess (Optimization attribute) initial_observation (ReinforcementLearning attribute) initial_train_iterator (AdaptiveSampling attribute) initialize() (LogpdfGP method) initialize_bmfia_iterator() (BMFGaussian static method) initialize_feynman_kac() (SequentialMonteCarloChopin method) initialize_variational_parameters() (FullRankNormal method) (Joint method) (MeanFieldNormal method) (MixtureModel method) (Particle method) inject() (in module queens.utils.injector) inject_in_template() (in module queens.utils.injector) inject_template_cli() (in module queens.utils.cli) input_dim_red() (BMFMC method) input_files (JobOptions attribute) input_templates (Jobscript attribute) input_to_script_cli() (in module queens.utils.cli) inputs (SimulationMetadata attribute)

insert_new_obj() (in module queens.utils.from_config_create) (in module queens.utils.input_to_script) instantiate_per_coordinate() (BmfiaInterface static method) instantiate_per_time_step() (BmfiaInterface static method) instantiate_probabilistic_mappings (BmfiaInterface attribute) interact() (ReinforcementLearning method) interaction_steps (ReinforcementLearning property) interface (BMFMC attribute) InvalidOptionError inverse_cdf_transform() (Parameters method) inverse_transform_grad_mean() (IdentityScaler method) (StandardScaler method) inverse_transform_grad_var() (IdentityScaler method) (StandardScaler method) inverse_transform_mean() (IdentityScaler method) (Scaler method) (StandardScaler method) inverse_transform_std() (IdentityScaler method) (Scaler method) (StandardScaler method) is_active (ActiveLearningClassifier attribute) (Classifier attribute) is_cov (HamiltonianMonteCarlo attribute) (NUTS attribute) is_empty() (in module queens.utils.path) is_trained (ReinforcementLearning attribute) ishigami90() (in module queens.example_simulator_functions.ishigami90) items() (CollectionObject method) iterate_over_time_steps() (BmfiaInterface static method) iteration (LogLinearLearningRateDecay attribute) (StepwiseLearningRateDecay attribute) iteration_counter (PolyakAveraging attribute) IterativeAveraging (class in queens.utils.iterative_averaging)

J

jac_method (Optimization attribute) jac_rel_step (Optimization attribute) jacobian() (Optimization method) jit_func_generate_output (LogpdfGP attribute) JittedGaussianProcess (class in queens.models.surrogates.jitted_gaussian_process) jitter (LogpdfGP attribute) job_dir (JobOptions attribute) job_dirs_in_experiment_dir() (in module queens.utils.config_directories)

job_id (JobOptions attribute) (SimulationMetadata attribute) JobOptions (class in queens.drivers.jobscript) Jobscript (class in queens.drivers.jobscript) jobscript_file_name (Jobscript attribute) jobscript_options (Jobscript attribute) jobscript_template (Jobscript attribute) Joint (class in queens.variational_distributions.joint) joint_logpdf() (Parameters method)

K

k (DynamicLearningRateDecay attribute) k_mat (JittedGaussianProcess attribute) k_mat_inv (JittedGaussianProcess attribute) k_min (DynamicLearningRateDecay attribute)

KarhunenLoeve (class in queens.parameters.random_fields.karhunen_loeve) kernel_initializer (GaussianNeuralNetwork attribute) kernel_type (JittedGaussianProcess attribute) keys() (CollectionObject method)

L

l1_norm() (in module queens.utils.iterative_averaging) l2_norm() (in module queens.utils.iterative_averaging) latent_1d_distribution (PieceWise attribute) latent_grad() (Parameters method) latent_gradient() (Fourier method) (KarhunenLoeve method) (PieceWise method) latent_index (Fourier attribute) LatinHypercubeSampling (class in queens.iterators.latin_hypercube_sampling) LazyLoader (class in queens.utils.imports) LearningRateDecay (class in queens.stochastic_optimizers.learning_rate_decay) LeastSquares (class in queens.iterators.least_squares) level (LogFilter attribute) lf_data_iterators (BMFMC attribute) lf_model (BMFIA attribute) likelihood_counter (BMFGaussian attribute) likelihood_evals_for_refinement (BMFGaussian attribute) likelihood_model (AdaptiveSampling attribute) (StaticStateSpaceModel attribute) line_topology (FourcDat attribute) linear_scale_a_to_b() (in module queens.models.bmfmc) list_associated_material_numbers (FourcDat attribute) list_geometric_sets (FourcDat attribute) list_replace_infs() (in module queens.utils.input_to_script) load() (Classifier method) load_input_file() (in module queens.utils.io) load_model() (in module queens.models.reinforcement_learning.utils.stable_baselines3) load_pickle() (in module queens.utils.io) load_result() (in module queens.utils.io) load_results (QueensPythonCode attribute) load_sampling_data() (BMFMC method) Local (class in queens.schedulers.local) local_optimization (ElementaryEffects attribute) log_evidence() (JittedGaussianProcess method) log_init_args() (in module queens.utils.logger_settings) log_likelihood (MetropolisHastings attribute) (SequentialMonteCarlo attribute) log_posterior (MetropolisHastings attribute) (SequentialMonteCarlo attribute)

log_posterior_unnormalized (BBVI attribute) log_posterior_unnormalized_list (BBVI attribute) log_prior (MetropolisHastings attribute) (SequentialMonteCarlo attribute) log_variational_mat (BBVI attribute) LogFilter (class in queens.utils.logger_settings) loglik() (StaticStateSpaceModel method) LogLinearLearningRateDecay (class in queens.stochastic_optimizers.learning_rate_decay) LogNormal (class in queens.distributions.lognormal) logpdf() (Beta method) (Categorical method) (Exponential method) (Fourier method) (FreeVariable method) (FullRankNormal method) (Joint method) (KarhunenLoeve method) (LogNormal method) (MeanFieldNormal method), [1] (Mixture method) (MixtureModel method) (Multinomial method) (Normal method) (Particle method), [1] (ParticlesChopinDistribution method) (PieceWise method) (Uniform method) logpdf_const (Exponential attribute) (Normal attribute) (Uniform attribute) LogpdfGP (class in queens.models.logpdf_gp) logpyt() (StaticStateSpaceModel method) loo_cv_bool (BBVI attribute) loss_plot_path (GaussianNeuralNetwork attribute) low_chol (Normal attribute) lower_bound (Beta attribute) (Uniform attribute)

M

m (Adam attribute) (Adamax attribute) m_f_mc (BMFMC attribute) ma09() (in module queens.example_simulator_functions.ma09) main() (in module queens.example_simulator_functions.executable_park91a_hifi_on_grid_with_gradients) (in module queens.main) make_deterministic() (in module queens.models.reinforcement_learning.utils.stable_baselines3) matern_3_2() (in module queens.models.surrogates.utils.kernel_jitted) max_feval (BBVI attribute) (Optimization attribute) (SequentialMonteCarloChopin attribute) max_steps (HamiltonianMonteCarlo attribute) max_treedepth (NUTS attribute) mcmc_kernel (SequentialMonteCarlo attribute) mean (Fourier attribute) (KarhunenLoeve attribute) (Particle attribute) (Scaler attribute) mean_field_variational_distribution() (GaussianBayesianNeuralNetwork static method) mean_function (GaussianNeuralNetwork attribute) (JittedGaussianProcess attribute) MeanFieldNormal (class in queens.distributions.mean_field_normal) (class in queens.variational_distributions.mean_field_normal) memory (BBVI attribute) MetropolisHastings (class in queens.iterators.metropolis_hastings) MetropolisHastingsPyMC (class in queens.iterators.metropolis_hastings_pymc) mf_interface (BMFGaussian attribute) mf_subiterator (BMFGaussian attribute) mh_select() (in module queens.utils.mcmc) mini_batch_size (VariationalGaussianProcess attribute) minimize() (in module queens.utils.jax_minimize_wrapper) Mixture (class in queens.distributions.mixture) MixtureModel (class in queens.variational_distributions.mixture_model) MLMC (class in queens.iterators.mlmc) mode (ReinforcementLearning property) model (BMFMC attribute) (ControlVariates attribute) (GaussianProcess attribute) (HeteroskedasticGaussianProcess attribute) (VariationalGaussianProcess attribute) model_eval_iteration_period (BBVI attribute) model_outputs (AdaptiveSampling attribute) model_realizations_lst (GaussianBayesianNeuralNetwork attribute) models (MLMC attribute) module queens queens.data_processors queens.data_processors.csv_file queens.data_processors.ensight_file queens.data_processors.numpy_file queens.data_processors.pvd_file queens.data_processors.txt_file queens.distributions queens.distributions.bernoulli queens.distributions.beta queens.distributions.categorical queens.distributions.exponential queens.distributions.free_variable queens.distributions.lognormal queens.distributions.mean_field_normal queens.distributions.mixture queens.distributions.multinomial queens.distributions.normal queens.distributions.particle queens.distributions.uniform queens.distributions.uniform_discrete queens.drivers queens.drivers.fourc queens.drivers.function queens.drivers.jobscript queens.drivers.mpi queens.example_simulator_functions queens.example_simulator_functions.agawal09 queens.example_simulator_functions.borehole83 queens.example_simulator_functions.branin78 queens.example_simulator_functions.currin88 queens.example_simulator_functions.executable_park91a_hifi_on_grid_with_gradients queens.example_simulator_functions.gardner14a queens.example_simulator_functions.gaussian_logpdf queens.example_simulator_functions.gaussian_mixture_logpdf queens.example_simulator_functions.ishigami90 queens.example_simulator_functions.ma09 queens.example_simulator_functions.oakley_ohagan04 queens.example_simulator_functions.parabola_residual queens.example_simulator_functions.paraboloid queens.example_simulator_functions.park91a queens.example_simulator_functions.park91b queens.example_simulator_functions.perdikaris17 queens.example_simulator_functions.rezende15 queens.example_simulator_functions.rosenbrock60 queens.example_simulator_functions.sinus queens.example_simulator_functions.sobol_g_function queens.external_geometries queens.external_geometries.fourc_dat queens.global_settings queens.iterators queens.iterators.adaptive_sampling queens.iterators.bbvi queens.iterators.bmfia queens.iterators.bmfmc queens.iterators.classification queens.iterators.control_variates queens.iterators.data queens.iterators.elementary_effects queens.iterators.grid queens.iterators.hamiltonian_monte_carlo queens.iterators.latin_hypercube_sampling queens.iterators.least_squares queens.iterators.metropolis_hastings queens.iterators.metropolis_hastings_pymc queens.iterators.mlmc queens.iterators.monte_carlo queens.iterators.nuts queens.iterators.optimization queens.iterators.points queens.iterators.polynomial_chaos queens.iterators.reinforcement_learning queens.iterators.reparameteriztion_based_variational queens.iterators.sequential_monte_carlo queens.iterators.sequential_monte_carlo_chopin queens.iterators.sobol_index queens.iterators.sobol_index_gp_uncertainty queens.iterators.sobol_index_gp_uncertainty_utils queens.iterators.sobol_index_gp_uncertainty_utils.estimator queens.iterators.sobol_index_gp_uncertainty_utils.predictor queens.iterators.sobol_index_gp_uncertainty_utils.sampler queens.iterators.sobol_index_gp_uncertainty_utils.statistics queens.iterators.sobol_index_gp_uncertainty_utils.utils_estimate_indices queens.iterators.sobol_sequence queens.main queens.models queens.models.adjoint queens.models.bmfmc queens.models.finite_difference queens.models.likelihoods queens.models.likelihoods.bmf_gaussian queens.models.likelihoods.gaussian queens.models.logpdf_gp queens.models.reinforcement_learning queens.models.reinforcement_learning.reinforcement_learning queens.models.reinforcement_learning.utils queens.models.reinforcement_learning.utils.gymnasium queens.models.reinforcement_learning.utils.stable_baselines3 queens.models.simulation queens.models.surrogates queens.models.surrogates.bayesian_neural_network queens.models.surrogates.gaussian_neural_network queens.models.surrogates.gaussian_process queens.models.surrogates.heteroskedastic_gaussian_process queens.models.surrogates.jitted_gaussian_process queens.models.surrogates.utils queens.models.surrogates.utils.kernel_jitted queens.models.surrogates.variational_gaussian_process queens.parameters queens.parameters.parameters queens.parameters.random_fields queens.parameters.random_fields.fourier queens.parameters.random_fields.karhunen_loeve queens.parameters.random_fields.piece_wise queens.schedulers queens.schedulers.cluster queens.schedulers.local queens.schedulers.pool queens.stochastic_optimizers queens.stochastic_optimizers.adam queens.stochastic_optimizers.adamax queens.stochastic_optimizers.learning_rate_decay queens.stochastic_optimizers.rms_prop queens.stochastic_optimizers.sgd queens.utils queens.utils.ascii_art queens.utils.classifier queens.utils.cli queens.utils.collection queens.utils.config_directories queens.utils.configure_tensorflow queens.utils.exceptions queens.utils.experimental_data_reader queens.utils.fd_jacobian queens.utils.from_config_create queens.utils.gpflow_transformations queens.utils.imports queens.utils.injector queens.utils.input_to_script queens.utils.io queens.utils.iterative_averaging queens.utils.jax_minimize_wrapper queens.utils.logger_settings queens.utils.mcmc queens.utils.metadata queens.utils.numpy_array queens.utils.numpy_linalg queens.utils.path queens.utils.pdf_estimation queens.utils.plot_outputs queens.utils.pool queens.utils.printing queens.utils.process_outputs queens.utils.random_process_scaler queens.utils.remote_build queens.utils.remote_operations queens.utils.rsync queens.utils.run_subprocess queens.utils.sequential_monte_carlo queens.utils.sobol_sequence queens.utils.start_dask_cluster queens.utils.valid_options queens.variational_distributions queens.variational_distributions.full_rank_normal queens.variational_distributions.joint queens.variational_distributions.mean_field_normal queens.variational_distributions.mixture_model queens.variational_distributions.particle queens.visualization queens.visualization.bmfia_visualization queens.visualization.bmfmc_visualization queens.visualization.classification queens.visualization.gaussian_neural_network_vis queens.visualization.gnuplot_vis queens.visualization.grid_iterator_visualization queens.visualization.sa_visualization queens.visualization.surrogate_visualization queens.visualization.variational_inference_visualization

MonteCarlo (class in queens.iterators.monte_carlo) MovingAveraging (class in queens.utils.iterative_averaging) Mpi (class in queens.drivers.mpi) Multinomial (class in queens.distributions.multinomial)

N

n_components (MixtureModel attribute) n_parameters (FullRankNormal attribute) (Joint attribute) (MeanFieldNormal attribute) (MixtureModel attribute) n_params (ActiveLearningClassifier attribute) (Classifier attribute) n_sims (SequentialMonteCarloChopin attribute) (StaticStateSpaceModel attribute) names (Parameters attribute) negative_log_likelihood() (GaussianBayesianNeuralNetwork static method) (GaussianNeuralNetwork static method) new_material_numbers (FourcDat attribute) new_nodes_lst (FourcDat attribute) new_value (IterativeAveraging attribute) NewLineFormatter (class in queens.utils.logger_settings) nn_model (GaussianNeuralNetwork attribute) no_features_comparison_bool (BMFMC attribute) no_features_ref (BMFMCVisualization attribute) node_coordinates (FourcDat attribute) node_topology (FourcDat attribute) nodes_of_interest (FourcDat attribute) nodes_per_hidden_layer (GaussianNeuralNetwork attribute) nodes_per_hidden_layer_lst (GaussianBayesianNeuralNetwork attribute) nodes_written (FourcDat attribute) noise_type (Gaussian attribute) noise_var (BMFGaussian attribute) noise_var_iterative_averaging (Gaussian attribute) noise_variance_lower_bound (JittedGaussianProcess attribute) Normal (class in queens.distributions.normal) normal_distribution (BMFGaussian attribute) (Gaussian attribute) (LogNormal attribute) nugget_noise_variance (Gaussian attribute) nugget_std (GaussianNeuralNetwork attribute) nugget_variance (KarhunenLoeve attribute) num_bootstrap_samples (ElementaryEffects attribute) (MLMC attribute) (SobolIndex attribute) num_burn_in (MetropolisHastings attribute) num_chains (MetropolisHastings attribute) num_collocation_points (PolynomialChaos attribute) num_dim (LogpdfGP attribute) num_epochs (GaussianBayesianNeuralNetwork attribute) (GaussianNeuralNetwork attribute) (HeteroskedasticGaussianProcess attribute) num_features (BMFIA attribute) (BMFMC attribute) num_grid_points_per_axis (Grid attribute) num_hyper (LogpdfGP attribute) num_inducing_points (HeteroskedasticGaussianProcess attribute) (VariationalGaussianProcess attribute) num_iter_for_avg (MovingAveraging attribute) num_iterations (LatinHypercubeSampling attribute)

num_levels (ElementaryEffects attribute) num_model_calls (ClassificationIterator attribute) num_new_samples (AdaptiveSampling attribute) num_optimal_trajectories (ElementaryEffects attribute) num_optimizations (LogpdfGP attribute) num_parameters (Grid attribute) (Parameters attribute) num_params (SobolIndex attribute) num_particles (SequentialMonteCarlo attribute) (SequentialMonteCarloChopin attribute) num_posterior_samples (GaussianBayesianNeuralNetwork attribute) (HeteroskedasticGaussianProcess attribute) num_processors_multi_processing (BmfiaInterface attribute) num_procs (JobOptions attribute) (SobolIndexGPUncertainty attribute) num_refinement_samples (BMFGaussian attribute) num_refinements (GaussianNeuralNetwork attribute) num_rejuvenation_steps (SequentialMonteCarloChopin attribute) num_sample_points (ClassificationIterator attribute) num_samples (ControlVariates attribute) (LatinHypercubeSampling attribute) (MetropolisHastings attribute) (MLMC attribute) (MonteCarlo attribute) (SobolIndex attribute) num_samples_cv (ControlVariates attribute) num_samples_statistics (GaussianBayesianNeuralNetwork attribute) num_samples_stats (HeteroskedasticGaussianProcess attribute) num_steps (AdaptiveSampling attribute) num_trajectories (ElementaryEffects attribute) num_variables (SequentialMonteCarlo attribute) (SequentialMonteCarloChopin attribute) number_bootstrap_samples (SobolIndexEstimator attribute) (StatisticsSobolIndexEstimates attribute) number_expansion_terms (Fourier attribute) number_gp_realizations (Predictor attribute) (SobolIndexEstimator attribute) (StatisticsSobolIndexEstimates attribute) number_input_dimensions (GaussianProcess attribute) (VariationalGaussianProcess attribute) number_monte_carlo_samples (Sampler attribute) (SobolIndexEstimator attribute) number_of_samples (SobolSequence attribute) number_parameters (Sampler attribute) (SobolIndexEstimator attribute) (StatisticsSobolIndexEstimates attribute) number_posterior_samples (GaussianProcess attribute) (VariationalGaussianProcess attribute) number_restarts (GaussianProcess attribute) number_training_iterations (GaussianProcess attribute) (VariationalGaussianProcess attribute) numpy_to_particles_array() (StaticStateSpaceModel method) NumpyFile (class in queens.data_processors.numpy_file) NUTS (class in queens.iterators.nuts)

O

oakley_ohagan04() (in module queens.example_simulator_functions.oakley_ohagan04) objective() (Optimization method) objective_and_jacobian (Optimization attribute) open() (RemoteConnection method) open_port_forwarding() (RemoteConnection method) Optimization (class in queens.iterators.optimization) optimize_hyper_params() (BmfiaInterface static method) optimize_hyperparameters() (LogpdfGP method) optimizer (HeteroskedasticGaussianProcess attribute) optimizer_seed (GaussianBayesianNeuralNetwork attribute) (GaussianNeuralNetwork attribute) organize_sections() (FourcDat method) original_materials_in_dat (FourcDat attribute) output (BMFMC attribute) (ControlVariates attribute) (Data attribute) (ElementaryEffects attribute) (Grid attribute) (LatinHypercubeSampling attribute) (MLMC attribute) (MonteCarlo attribute) (Points attribute) (ReinforcementLearning attribute) (SobolIndex attribute) (SobolSequence attribute)

output_dir (GlobalSettings attribute) (JobOptions attribute) output_file (JobOptions attribute) output_label (BMFGaussian attribute) (ExperimentalDataReader attribute) outputs (SimulationMetadata attribute)

P

p_yhf_mc (BMFMC attribute) p_yhf_mean (BMFMC attribute) p_yhf_var (BMFMC attribute) p_ylf_mc (BMFMC attribute) parabola_residual() (in module queens.example_simulator_functions.parabola_residual) paraboloid() (in module queens.example_simulator_functions.paraboloid) parameter_list (BBVI attribute) parameter_names (Sampler attribute) (SobolIndex attribute) (SobolIndexEstimator attribute) (StatisticsSobolIndexEstimates attribute) (SurrogateVisualization attribute) parameters (BMFMC attribute) Parameters (class in queens.parameters.parameters) parameters (QueensPythonCode attribute) (Sampler attribute) parameters_keys (Parameters attribute) park91a_hifi() (in module queens.example_simulator_functions.park91a) park91a_hifi_coords() (in module queens.example_simulator_functions.executable_park91a_hifi_on_grid_with_gradients) park91a_hifi_on_grid() (in module queens.example_simulator_functions.park91a) park91a_hifi_on_grid_with_gradients() (in module queens.example_simulator_functions.park91a) park91a_lofi() (in module queens.example_simulator_functions.park91a) park91a_lofi_on_grid() (in module queens.example_simulator_functions.park91a) park91a_lofi_on_grid_with_gradients() (in module queens.example_simulator_functions.park91a) park91b_hifi() (in module queens.example_simulator_functions.park91b) park91b_lofi() (in module queens.example_simulator_functions.park91b) parse_arguments() (in module queens.utils.start_dask_cluster) partial_derivatives_hyper_params (JittedGaussianProcess attribute) partial_grad_evaluate() (BMFGaussian method) partial_hyperparameter_log_prob (LogpdfGP attribute) Particle (class in queens.distributions.particle) (class in queens.variational_distributions.particle) particles (SequentialMonteCarlo attribute) particles_array_to_numpy() (StaticStateSpaceModel method) particles_obj (Particle attribute) ParticlesChopinDistribution (class in queens.iterators.sequential_monte_carlo_chopin) path (VIVisualization attribute) path_length (HamiltonianMonteCarlo attribute) path_to_dat_file (FourcDat attribute) path_to_data (Data attribute) path_to_preprocessed_dat_file (FourcDat attribute) paths (BMFIAVisualization attribute) (BMFMCVisualization attribute) pdf() (Beta method) (Categorical method) (Exponential method) (FreeVariable method) (FullRankNormal method) (Joint method) (LogNormal method) (MeanFieldNormal method), [1] (Mixture method) (MixtureModel method) (Multinomial method) (Normal method) (Particle method), [1] (ParticlesChopinDistribution method) (Uniform method) pdf_const (Exponential attribute) (Uniform attribute) perdikaris17_hifi() (in module queens.example_simulator_functions.perdikaris17) perdikaris17_lofi() (in module queens.example_simulator_functions.perdikaris17) perform_kde() (in module queens.utils.process_outputs) PieceWise (class in queens.parameters.random_fields.piece_wise) plot() (BMFIAVisualization method) (in module queens.visualization.gnuplot_vis) (SAVisualization method) (SurrogateVisualization method) plot_1d() (SurrogateVisualization method) plot_2d() (SurrogateVisualization method) plot_basename (ClassificationVisualization attribute) plot_bool (ClassificationVisualization attribute) plot_boolean (VIVisualization attribute) plot_booleans (BMFIAVisualization attribute) (BMFMCVisualization attribute) (GridIteratorVisualization attribute) plot_cdf() (in module queens.utils.plot_outputs) plot_convergence() (VIVisualization method) plot_decision_boundary() (ClassificationVisualization method) plot_feature_ranking() (BMFMCVisualization method) plot_gp_from_gpflow() (SurrogateVisualization method) plot_icdf() (in module queens.utils.plot_outputs) plot_loss() (in module queens.visualization.gaussian_neural_network_vis) plot_manifold() (BMFMCVisualization method) plot_model_dependency() (in module queens.visualization.bmfia_visualization) plot_one_d() (GridIteratorVisualization method) plot_pdf() (in module queens.utils.plot_outputs) plot_pdfs() (BMFMCVisualization method) plot_posterior_from_samples() (BMFIAVisualization method) plot_qoi_grid() (GridIteratorVisualization method) plot_refresh_rate (JittedGaussianProcess attribute) plot_results() (SobolIndex method) plot_si_bar() (SAVisualization method) plot_si_scatter() (SAVisualization method) plot_trace_every (SequentialMonteCarlo attribute) plot_two_d() (GridIteratorVisualization method) Points (class in queens.iterators.points) points (Points attribute) points_array (Points attribute) PolyakAveraging (class in queens.utils.iterative_averaging) polynomial_chaos_approach (PolynomialChaos attribute) polynomial_order (PolynomialChaos attribute) PolynomialChaos (class in queens.iterators.polynomial_chaos) Pool (class in queens.schedulers.pool) pool (Pool attribute) post_run() (AdaptiveSampling method) (BMFMC method) (ClassificationIterator method) (ControlVariates method) (Data method) (ElementaryEffects method) (Grid method) (LatinHypercubeSampling method) (LeastSquares method) (MetropolisHastings method) (MetropolisHastingsPyMC method) (MLMC method) (MonteCarlo method) (Optimization method) (Points method) (PolynomialChaos method) (ReinforcementLearning method) (SequentialMonteCarlo method) (SequentialMonteCarloChopin method) (SobolIndex method) (SobolIndexGPUncertainty method) (SobolSequence method)

posterior_cov_mat_y (HeteroskedasticGaussianProcess attribute) posterior_mean_matern_3_2() (in module queens.models.surrogates.utils.kernel_jitted) posterior_mean_squared_exponential() (in module queens.models.surrogates.utils.kernel_jitted) posterior_var_matern_3_2() (in module queens.models.surrogates.utils.kernel_jitted) posterior_var_squared_exponential() (in module queens.models.surrogates.utils.kernel_jitted) ppf() (Beta method) (Exponential method) (FreeVariable method) (LogNormal method) (MeanFieldNormal method) (Mixture method) (Multinomial method) (Normal method) (Particle method) (ParticlesChopinDistribution method) (Uniform method) pre_run() (AdaptiveSampling method) (ControlVariates method) (ElementaryEffects method) (Grid method) (LatinHypercubeSampling method) (MetropolisHastings method) (MLMC method) (MonteCarlo method) (Optimization method) (Points method) (PolynomialChaos method) (ReinforcementLearning method) (SequentialMonteCarlo method) (SequentialMonteCarloChopin method) (SobolIndex method) (SobolIndexGPUncertainty method) (SobolSequence method) precalculated_positions (Optimization attribute) precision (Normal attribute) predict() (Classifier method) (GaussianBayesianNeuralNetwork method) (GaussianNeuralNetwork method) (GaussianProcess method) (HeteroskedasticGaussianProcess method) (JittedGaussianProcess method) (Predictor method) (ReinforcementLearning method) (VariationalGaussianProcess method) predict_and_gradient() (GaussianNeuralNetwork method) predict_f() (GaussianBayesianNeuralNetwork method) predict_f_samples() (GaussianBayesianNeuralNetwork method) (HeteroskedasticGaussianProcess method) predict_y() (GaussianBayesianNeuralNetwork method) (GaussianNeuralNetwork method) (HeteroskedasticGaussianProcess method) predict_y_samples() (GaussianBayesianNeuralNetwork method) predictive_var (BMFMCVisualization attribute) predictive_var_bool (BMFMC attribute) Predictor (class in queens.iterators.sobol_index_gp_uncertainty_utils.predictor) predictor (SobolIndexGPUncertainty attribute) prepare_input_files() (Jobscript method) prepare_z_lf_for_time_steps() (BmfiaInterface static method) print_banner() (in module queens.utils.ascii_art) print_banner_and_description() (in module queens.utils.ascii_art) print_bmfia_acceleration() (in module queens.utils.ascii_art) print_centered_multiline() (in module queens.utils.ascii_art) print_centered_multiline_block() (in module queens.utils.ascii_art) print_classification() (in module queens.utils.ascii_art) print_crown() (in module queens.utils.ascii_art) print_git_information() (GlobalSettings method) print_greeting_message() (in module queens.utils.cli) print_pickle_data_cli() (in module queens.utils.cli) print_pickled_data() (in module queens.utils.io) print_points_iterator() (in module queens.utils.ascii_art) print_results() (ElementaryEffects method) (SobolIndex method) prior (SequentialMonteCarloChopin attribute) prior_gp_mean (LogpdfGP attribute) prior_rate (LogpdfGP attribute) prior_trainable() (GaussianBayesianNeuralNetwork static method) probabilistic_mapping (BmfmcInterface attribute) probabilistic_mapping_obj_lst (BmfiaInterface attribute) probabilities (Categorical attribute) (Particle attribute) process_outputs() (in module queens.utils.process_outputs) process_results() (ElementaryEffects method) (SobolIndex method) project_samples_on_truncated_basis() (in module queens.models.bmfmc) proposal_distribution (MetropolisHastings attribute) PvdFile (class in queens.data_processors.pvd_file)

Q

quantile (LogpdfGP attribute) queens module queens.data_processors module queens.data_processors.csv_file module queens.data_processors.ensight_file module queens.data_processors.numpy_file module queens.data_processors.pvd_file module queens.data_processors.txt_file module queens.distributions module queens.distributions.bernoulli module queens.distributions.beta module queens.distributions.categorical module queens.distributions.exponential module queens.distributions.free_variable module queens.distributions.lognormal module queens.distributions.mean_field_normal module queens.distributions.mixture module queens.distributions.multinomial module queens.distributions.normal module queens.distributions.particle module queens.distributions.uniform module queens.distributions.uniform_discrete module queens.drivers module queens.drivers.fourc module queens.drivers.function module queens.drivers.jobscript module queens.drivers.mpi module queens.example_simulator_functions module queens.example_simulator_functions.agawal09 module queens.example_simulator_functions.borehole83 module queens.example_simulator_functions.branin78 module queens.example_simulator_functions.currin88 module queens.example_simulator_functions.executable_park91a_hifi_on_grid_with_gradients module queens.example_simulator_functions.gardner14a module queens.example_simulator_functions.gaussian_logpdf module queens.example_simulator_functions.gaussian_mixture_logpdf module queens.example_simulator_functions.ishigami90 module queens.example_simulator_functions.ma09 module queens.example_simulator_functions.oakley_ohagan04 module queens.example_simulator_functions.parabola_residual module queens.example_simulator_functions.paraboloid module queens.example_simulator_functions.park91a module queens.example_simulator_functions.park91b module queens.example_simulator_functions.perdikaris17 module queens.example_simulator_functions.rezende15 module queens.example_simulator_functions.rosenbrock60 module queens.example_simulator_functions.sinus module queens.example_simulator_functions.sobol_g_function module queens.external_geometries module queens.external_geometries.fourc_dat module queens.global_settings module queens.iterators module queens.iterators.adaptive_sampling module queens.iterators.bbvi module queens.iterators.bmfia module queens.iterators.bmfmc module queens.iterators.classification module queens.iterators.control_variates module queens.iterators.data module queens.iterators.elementary_effects module queens.iterators.grid module queens.iterators.hamiltonian_monte_carlo module queens.iterators.latin_hypercube_sampling module queens.iterators.least_squares module queens.iterators.metropolis_hastings module queens.iterators.metropolis_hastings_pymc module queens.iterators.mlmc module queens.iterators.monte_carlo module queens.iterators.nuts module queens.iterators.optimization module queens.iterators.points module queens.iterators.polynomial_chaos module queens.iterators.reinforcement_learning module queens.iterators.reparameteriztion_based_variational module queens.iterators.sequential_monte_carlo module queens.iterators.sequential_monte_carlo_chopin module queens.iterators.sobol_index module queens.iterators.sobol_index_gp_uncertainty module queens.iterators.sobol_index_gp_uncertainty_utils module queens.iterators.sobol_index_gp_uncertainty_utils.estimator module queens.iterators.sobol_index_gp_uncertainty_utils.predictor module queens.iterators.sobol_index_gp_uncertainty_utils.sampler module queens.iterators.sobol_index_gp_uncertainty_utils.statistics module queens.iterators.sobol_index_gp_uncertainty_utils.utils_estimate_indices module queens.iterators.sobol_sequence module queens.main module queens.models module queens.models.adjoint module queens.models.bmfmc module queens.models.finite_difference module

queens.models.likelihoods module queens.models.likelihoods.bmf_gaussian module queens.models.likelihoods.gaussian module queens.models.logpdf_gp module queens.models.reinforcement_learning module queens.models.reinforcement_learning.reinforcement_learning module queens.models.reinforcement_learning.utils module queens.models.reinforcement_learning.utils.gymnasium module queens.models.reinforcement_learning.utils.stable_baselines3 module queens.models.simulation module queens.models.surrogates module queens.models.surrogates.bayesian_neural_network module queens.models.surrogates.gaussian_neural_network module queens.models.surrogates.gaussian_process module queens.models.surrogates.heteroskedastic_gaussian_process module queens.models.surrogates.jitted_gaussian_process module queens.models.surrogates.utils module queens.models.surrogates.utils.kernel_jitted module queens.models.surrogates.variational_gaussian_process module queens.parameters module queens.parameters.parameters module queens.parameters.random_fields module queens.parameters.random_fields.fourier module queens.parameters.random_fields.karhunen_loeve module queens.parameters.random_fields.piece_wise module queens.schedulers module queens.schedulers.cluster module queens.schedulers.local module queens.schedulers.pool module queens.stochastic_optimizers module queens.stochastic_optimizers.adam module queens.stochastic_optimizers.adamax module queens.stochastic_optimizers.learning_rate_decay module queens.stochastic_optimizers.rms_prop module queens.stochastic_optimizers.sgd module queens.utils module queens.utils.ascii_art module queens.utils.classifier module queens.utils.cli module queens.utils.collection module queens.utils.config_directories module queens.utils.configure_tensorflow module queens.utils.exceptions module queens.utils.experimental_data_reader module queens.utils.fd_jacobian module queens.utils.from_config_create module queens.utils.gpflow_transformations module queens.utils.imports module queens.utils.injector module queens.utils.input_to_script module queens.utils.io module queens.utils.iterative_averaging module queens.utils.jax_minimize_wrapper module queens.utils.logger_settings module queens.utils.mcmc module queens.utils.metadata module queens.utils.numpy_array module queens.utils.numpy_linalg module queens.utils.path module queens.utils.pdf_estimation module queens.utils.plot_outputs module queens.utils.pool module queens.utils.printing module queens.utils.process_outputs module queens.utils.random_process_scaler module queens.utils.remote_build module queens.utils.remote_operations module queens.utils.rsync module queens.utils.run_subprocess module queens.utils.sequential_monte_carlo module queens.utils.sobol_sequence module queens.utils.start_dask_cluster module queens.utils.valid_options module queens.variational_distributions module queens.variational_distributions.full_rank_normal module queens.variational_distributions.joint module queens.variational_distributions.mean_field_normal module queens.variational_distributions.mixture_model module queens.variational_distributions.particle module queens.visualization module queens.visualization.bmfia_visualization module queens.visualization.bmfmc_visualization module queens.visualization.classification module queens.visualization.gaussian_neural_network_vis module queens.visualization.gnuplot_vis module queens.visualization.grid_iterator_visualization module queens.visualization.sa_visualization module queens.visualization.surrogate_visualization module queens.visualization.variational_inference_visualization module QueensException QueensPythonCode (class in queens.utils.input_to_script)

R

raise_error_on_jobscript_failure (Jobscript attribute) random_design() (BMFIA static method) (BMFMC method) random_dirich_flag (FourcDat attribute) random_field_flag (Parameters attribute) random_fields (FourcDat attribute) random_neumann_flag (FourcDat attribute) random_sampling_frequency (ClassificationIterator attribute) random_seed (BBVI attribute) (HeteroskedasticGaussianProcess attribute) random_transport_dirich_flag (FourcDat attribute) randomize (SobolSequence attribute) rate (Exponential attribute) rbf() (in module queens.models.logpdf_gp) rbf_by_dists() (in module queens.models.logpdf_gp) read_external_data() (FourcDat method) read_file() (in module queens.utils.io) read_geometry_coordinates() (EnsightFile static method) read_geometry_from_dat_file() (FourcDat method) read_input_file() (in module queens.example_simulator_functions.executable_park91a_hifi_on_grid_with_gradients) read_pickle_file() (Data method) reconstruct_distribution_parameters() (FullRankNormal method) (Joint method) (MeanFieldNormal method) (MixtureModel method) (Particle method) refinement_epochs_decay (GaussianNeuralNetwork attribute) ReinforcementLearning (class in queens.iterators.reinforcement_learning) (class in queens.models.reinforcement_learning.reinforcement_learning) rel_l1_change (IterativeAveraging attribute) rel_l2_change (IterativeAveraging attribute) relative_change() (in module queens.utils.iterative_averaging) relative_path_from_queens() (in module queens.utils.path) relative_path_from_source() (in module queens.utils.path) remote_python (RemoteConnection attribute) remote_queens_repository (RemoteConnection attribute) RemoteConnection (class in queens.utils.remote_operations) remove_html_coverage_report() (in module queens.utils.cli) render() (ReinforcementLearning method) render_template() (in module queens.utils.injector) resample (BBVI attribute) resample() (SequentialMonteCarlo method) resampling_method (SequentialMonteCarloChopin attribute) resampling_threshold (SequentialMonteCarloChopin attribute) reset() (ReinforcementLearning method) reset_logging() (in module queens.utils.logger_settings) response (ReinforcementLearning attribute) responsibilities() (Mixture method)

restart_file (AdaptiveSampling attribute) restart_max_value (GaussianProcess attribute) restart_min_value (GaussianProcess attribute) restart_worker() (Cluster method) (Local method) result_description (BMFMC attribute) (ClassificationIterator attribute) (Data attribute) (ElementaryEffects attribute) (Grid attribute) (LatinHypercubeSampling attribute) (MetropolisHastings attribute) (MonteCarlo attribute) (Optimization attribute) (Points attribute) (PolynomialChaos attribute) (ReinforcementLearning attribute) (SequentialMonteCarlo attribute) (SequentialMonteCarloChopin attribute) (SobolIndex attribute) (SobolIndexGPUncertainty attribute) (SobolSequence attribute) result_dict (PolynomialChaos attribute) result_file() (GlobalSettings method) results (SobolIndexGPUncertainty attribute) returned_filter_format (CsvFile attribute) rezende15_potential1() (in module queens.example_simulator_functions.rezende15) rho_min (DynamicLearningRateDecay attribute) RMSprop (class in queens.stochastic_optimizers.rms_prop) rosenbrock60() (in module queens.example_simulator_functions.rosenbrock60) rosenbrock60_residual() (in module queens.example_simulator_functions.rosenbrock60) rosenbrock60_residual_1d() (in module queens.example_simulator_functions.rosenbrock60) rosenbrock60_residual_3d() (in module queens.example_simulator_functions.rosenbrock60) RPVI (class in queens.iterators.reparameteriztion_based_variational) rsync() (in module queens.utils.rsync) run() (Function method) (in module queens.main) (Jobscript method) run_BMFMC() (BMFMC method) run_BMFMC_without_features() (BMFMC method) run_function() (RemoteConnection method) run_iterator (QueensPythonCode attribute) run_iterator() (in module queens.main) run_subprocess() (in module queens.utils.run_subprocess) run_type_adjoint() (in module queens.example_simulator_functions.executable_park91a_hifi_on_grid_with_gradients) run_type_provided_gradient() (in module queens.example_simulator_functions.executable_park91a_hifi_on_grid_with_gradients) run_type_standard() (in module queens.example_simulator_functions.executable_park91a_hifi_on_grid_with_gradients) rvs() (ParticlesChopinDistribution method)

S

safe_cholesky() (in module queens.utils.numpy_linalg) salib_problem (ElementaryEffects attribute) (SobolIndex attribute) sample() (Sampler method) (ThirdOrderSampler method) sample_as_dict() (Parameters method) sample_hyperparameters() (LogpdfGP method) sample_set (BBVI attribute) sample_sobol_sequence() (in module queens.utils.sobol_sequence) sample_space (Particle attribute) Sampler (class in queens.iterators.sobol_index_gp_uncertainty_utils.sampler) sampler (SobolIndexGPUncertainty attribute) samples (ClassificationIterator attribute) (ControlVariates attribute) (Data attribute) (ElementaryEffects attribute) (Grid attribute) (LatinHypercubeSampling attribute) (MLMC attribute) (MonteCarlo attribute) (PolynomialChaos attribute) (ReinforcementLearning attribute) (SobolIndex attribute) (SobolSequence attribute) samples_list (BBVI attribute) sampling_approach (Sampler attribute) sampling_bool (BBVI attribute) sampling_rule (PolynomialChaos attribute) save() (ReinforcementLearning method) save_bool (ClassificationVisualization attribute) (VIVisualization attribute) save_bools (BMFIAVisualization attribute) (BMFMCVisualization attribute) (GridIteratorVisualization attribute) save_model() (in module queens.models.reinforcement_learning.utils.stable_baselines3) save_plots() (VIVisualization method) saving_path (ClassificationVisualization attribute) saving_paths (SAVisualization attribute) (SurrogateVisualization attribute) saving_paths_list (GridIteratorVisualization attribute) SAVisualization (class in queens.visualization.sa_visualization) scale (Exponential attribute) scale_covariance (MetropolisHastings attribute) scale_type (Grid attribute) scale_types_list (GridIteratorVisualization attribute) Scaler (class in queens.utils.random_process_scaler) scaler_x (GaussianNeuralNetwork attribute) (GaussianProcess attribute) (JittedGaussianProcess attribute) (LogpdfGP attribute) (VariationalGaussianProcess attribute) scaler_y (GaussianNeuralNetwork attribute) (GaussianProcess attribute) (JittedGaussianProcess attribute) (LogpdfGP attribute) (VariationalGaussianProcess attribute) scaling (HamiltonianMonteCarlo attribute) (MetropolisHastingsPyMC attribute) (NUTS attribute) scheduler (Simulation attribute) scheme_specific_gradient() (Adam method) (Adamax method) (RMSprop method) (SGD method) scipy_beta (Beta attribute) score_function_bool (RPVI attribute) section_match_dict (FourcDat attribute) seed (AdaptiveSampling attribute) (ControlVariates attribute) (ElementaryEffects attribute) (LatinHypercubeSampling attribute) (MetropolisHastings attribute) (MLMC attribute) (MonteCarlo attribute) (PolynomialChaos attribute) (SequentialMonteCarlo attribute) (SequentialMonteCarloChopin attribute) (SobolIndex attribute) (SobolSequence attribute) (VariationalGaussianProcess attribute)

seed_bootstrap_samples (SobolIndexEstimator attribute) seed_monte_carlo (Sampler attribute) seed_posterior_samples (Predictor attribute) sensitivity_indices (SobolIndex attribute) SequentialMonteCarlo (class in queens.iterators.sequential_monte_carlo) SequentialMonteCarloChopin (class in queens.iterators.sequential_monte_carlo_chopin) set_feature_strategy() (BMFIA method) (BMFMC method) set_optimized_state_of_probabilistic_mappings() (BmfiaInterface method) set_state() (JittedGaussianProcess method) set_transform_function() (in module queens.utils.gpflow_transformations) setup() (GaussianBayesianNeuralNetwork method) (GaussianNeuralNetwork method) (GaussianProcess method) (HeteroskedasticGaussianProcess method) (JittedGaussianProcess method) (VariationalGaussianProcess method) setup_basic_logging() (in module queens.utils.logger_settings) setup_cli_logging() (in module queens.utils.logger_settings) setup_cluster_logging() (in module queens.utils.logger_settings) setup_file_handler() (in module queens.utils.logger_settings) setup_logger() (in module queens.utils.logger_settings) setup_stream_handler() (in module queens.utils.logger_settings) SGD (class in queens.stochastic_optimizers.sgd) should_be_displayed (SAVisualization attribute) (SurrogateVisualization attribute) should_be_saved (SAVisualization attribute) (SurrogateVisualization attribute) si (ElementaryEffects attribute) Simulation (class in queens.models.simulation) SimulationMetadata (class in queens.utils.metadata) sinus_test_fun() (in module queens.example_simulator_functions.sinus) skip_rows (CsvFile attribute) skip_values (SobolIndex attribute) slope (LogLinearLearningRateDecay attribute) smc_obj (SequentialMonteCarloChopin attribute) sobol_g_function() (in module queens.example_simulator_functions.sobol_g_function) SobolIndex (class in queens.iterators.sobol_index) SobolIndexEstimator (class in queens.iterators.sobol_index_gp_uncertainty_utils.estimator) SobolIndexEstimatorThirdOrder (class in queens.iterators.sobol_index_gp_uncertainty_utils.estimator) SobolIndexGPUncertainty (class in queens.iterators.sobol_index_gp_uncertainty) SobolSequence (class in queens.iterators.sobol_sequence) solution (Optimization attribute) solving_iterator (AdaptiveSampling attribute) sparse (PolynomialChaos attribute) split_array_by_chunk_sizes() (in module queens.variational_distributions.joint) squared_exponential() (in module queens.models.surrogates.utils.kernel_jitted) standard_deviation (MeanFieldNormal attribute) (Scaler attribute) StandardScaler (class in queens.utils.random_process_scaler) start_cluster() (RemoteConnection method) start_subprocess() (in module queens.utils.run_subprocess) StaticStateSpaceModel (class in queens.utils.sequential_monte_carlo) statistics (SobolIndexGPUncertainty attribute) StatisticsSecondOrderEstimates (class in queens.iterators.sobol_index_gp_uncertainty_utils.statistics) StatisticsSobolIndexEstimates (class in queens.iterators.sobol_index_gp_uncertainty_utils.statistics) StatisticsThirdOrderSobolIndexEstimates (class in queens.iterators.sobol_index_gp_uncertainty_utils.statistics) std (Fourier attribute) (KarhunenLoeve attribute) step() (ReinforcementLearning method) step_size (FiniteDifference attribute) (HamiltonianMonteCarlo attribute) (NUTS attribute) StepwiseLearningRateDecay (class in queens.stochastic_optimizers.learning_rate_decay) stochastic_optimizer (JittedGaussianProcess attribute) str_to_bool() (in module queens.utils.cli) stringify() (in module queens.utils.input_to_script) SubprocessError sum_over_iter (PolyakAveraging attribute) surface_topology (FourcDat attribute) SurrogateVisualization (class in queens.visualization.surrogate_visualization) sync_remote_repository() (RemoteConnection method)

T

target_accept (HamiltonianMonteCarlo attribute) (NUTS attribute) target_time_lst (EnsightFile attribute) temper (MetropolisHastings attribute) (SequentialMonteCarlo attribute) temper_factory() (in module queens.utils.sequential_monte_carlo) temper_logpdf_bayes() (in module queens.utils.sequential_monte_carlo) temper_logpdf_generic() (in module queens.utils.sequential_monte_carlo) third_order_parameters (SobolIndexEstimatorThirdOrder attribute) (StatisticsThirdOrderSobolIndexEstimates attribute) (ThirdOrderSampler attribute) ThirdOrderSampler (class in queens.iterators.sobol_index_gp_uncertainty_utils.sampler) time_code() (SimulationMetadata method) time_label (ExperimentalDataReader attribute) time_label_experimental (EnsightFile attribute) time_steps (PvdFile attribute) time_tol (EnsightFile attribute) time_vec (BMFGaussian attribute) (BMFIA attribute) (BmfiaInterface attribute) timedelta_to_str() (in module queens.schedulers.cluster) times (SimulationMetadata attribute) timestamp (SimulationMetadata attribute) to_dict() (CollectionObject method) (JobOptions method) (SimulationMetadata method) to_dict_with_standard_types() (in module queens.utils.io) to_distribution_list() (Parameters method) to_list() (Parameters method)

tot_num_samples (MetropolisHastings attribute) total_grad_params_logpdf() (FullRankNormal method) (MeanFieldNormal method) total_order_indices() (in module queens.example_simulator_functions.ishigami90) (in module queens.example_simulator_functions.sobol_g_function) train() (ActiveLearningClassifier method) (Classifier method) (GaussianBayesianNeuralNetwork method) (GaussianNeuralNetwork method) (GaussianProcess method) (HeteroskedasticGaussianProcess method) (JittedGaussianProcess method) (ReinforcementLearning method) (VariationalGaussianProcess method) train_inducing_points_location (VariationalGaussianProcess attribute) train_likelihood_variance (GaussianProcess attribute) (VariationalGaussianProcess attribute) train_probabilistic_mappings_in_parallel() (BmfiaInterface static method) training_data (VariationalGaussianProcess attribute) training_indices (BMFMC attribute) transform() (IdentityScaler method) (Scaler method) (StandardScaler method) transform_hyperparameters() (GaussianProcess method) trunc_threshold (Fourier attribute) tune (MetropolisHastings attribute) tune_interval (MetropolisHastings attribute) (MetropolisHastingsPyMC attribute) tune_scale_covariance() (in module queens.utils.mcmc) TxtFile (class in queens.data_processors.txt_file)

U

u (Adamax attribute) uncertain_parameters (BMFMC attribute) Uniform (class in queens.distributions.uniform) UniformDiscrete (class in queens.distributions.uniform_discrete) unit_bounding() (in module queens.example_simulator_functions.park91a) update_average() (IterativeAveraging method) update_covariance() (Gaussian method) (Normal method) update_ess() (SequentialMonteCarlo method) update_gamma() (SequentialMonteCarlo method) update_mappings_method (BmfiaInterface attribute) update_mappings_per_coordinate() (BmfiaInterface static method) update_mappings_per_time_step() (BmfiaInterface static method)

update_mean() (MeanFieldNormal method) update_probabilistic_mapping_with_features() (BMFIA method) (BMFMC method) update_samples_and_outputs() (ReinforcementLearning method) update_training_data() (GaussianNeuralNetwork method) update_variance() (MeanFieldNormal method) update_weights() (SequentialMonteCarlo method) upper_bound (Beta attribute) (LogpdfGP attribute) (Uniform attribute) use_cols_lst (CsvFile attribute) use_optimal_num_samples (ControlVariates attribute) (MLMC attribute) use_rows_lst (CsvFile attribute)

V

v (Adam attribute) (RMSprop attribute) v_train (LogpdfGP attribute) valid_kernels_dict (JittedGaussianProcess attribute) valid_probabilistic_mappings_configurations (BmfiaInterface attribute) values() (CollectionObject method) var_names_list (GridIteratorVisualization attribute) var_y_mc (BMFMC attribute) variability (Fourier attribute) VariableName (class in queens.utils.input_to_script) variance() (in module queens.example_simulator_functions.ishigami90) (in module queens.example_simulator_functions.sobol_g_function) variance_cv_mean_estimator (ControlVariates attribute)

VariationalGaussianProcess (class in queens.models.surrogates.variational_gaussian_process) verbose_output (Optimization attribute) verbosity_on (GaussianBayesianNeuralNetwork attribute) (GaussianNeuralNetwork attribute) visualization (BMFMC attribute), [1] (ElementaryEffects attribute) (Grid attribute) visualization_obj (ClassificationIterator attribute) VIVisualization (class in queens.visualization.variational_inference_visualization) volume_topology (FourcDat attribute) vtk_array_type (EnsightFile attribute) vtk_field_components (EnsightFile attribute) vtk_field_label (EnsightFile attribute)

W

waste_free (SequentialMonteCarloChopin attribute) weights (SequentialMonteCarlo attribute) width (Uniform attribute) write_metadata_to_csv() (in module queens.utils.metadata)

write_random_fields_to_dat() (FourcDat method) write_results() (AdaptiveSampling method) (in module queens.example_simulator_functions.executable_park91a_hifi_on_grid_with_gradients) (in module queens.utils.process_outputs) write_to_csv() (in module queens.utils.io)

X

x3_x4_grid_eval() (in module queens.example_simulator_functions.park91a) x_cols (BMFIA attribute) X_cols (BMFMC attribute) X_mc (BMFMC attribute)

x_train (AdaptiveSampling attribute) X_train (BMFIA attribute) (BMFMC attribute), [1] x_train (LogpdfGP attribute) x_train_new (AdaptiveSampling attribute)

Y

Y_HF_mc (BMFMC attribute) Y_HF_train (BMFIA attribute) (BMFMC attribute) Y_LF_train (BMFIA attribute) Y_LFs_mc (BMFMC attribute)

Y_LFs_train (BMFMC attribute), [1] y_obs_vec (BMFIA attribute) y_pdf_support (BMFMC attribute) y_train (AdaptiveSampling attribute) (LogpdfGP attribute)

Z

Z_mc (BMFMC attribute) Z_train (BMFIA attribute) (BMFMC attribute)

zero_mean_fun() (JittedGaussianProcess static method)