Index A | B | C | D | E | F | G | H | I | K | L | M | N | O | P | R | S | T | U | V | W | X | Y A abs_finite_threshold (gpry.surrogate.SurrogateModel property) AcquisitionFunction (class in gpry.acquisition_functions) AcquisitionFunctionOperator (class in gpry.acquisition_functions) add() (gpry.gp_acquisition.RankedPool method) add_acquisition() (gpry.progress.Progress method) add_bulk() (gpry.gp_acquisition.RankedPool method) add_convergence() (gpry.progress.Progress method) add_current_n_truth() (gpry.progress.Progress method) add_fit() (gpry.progress.Progress method) add_iteration() (gpry.progress.Progress method) add_mc() (gpry.progress.Progress method) add_one() (gpry.gp_acquisition.RankedPool method) add_truth() (gpry.progress.Progress method) allgather() (in module gpry.mpi) anisotropic (gpry.kernels.ExpSineSquared property) (gpry.kernels.RationalQuadratic property) append() (gpry.surrogate.SurrogateModel method) as_dict() (gpry.truth.Truth method) (gpry.truth.TruthCobaya method) auto_zeta() (gpry.acquisition_functions.BaseLogExp method) B banner() (gpry.run.Runner method) BaseLogExp (class in gpry.acquisition_functions) BatchOptimizer (class in gpry.gp_acquisition) bcast() (in module gpry.mpi) bcast_last_max() (gpry.progress.Progress method) bcast_root() (gpry.progress.Progress method) bcast_sum() (gpry.progress.Progress method) bounds (gpry.kernels.Kernel property) (gpry.surrogate.SurrogateModel property) builtin_names() (in module gpry.acquisition_functions) (in module gpry.gp_acquisition) C cache_model() (gpry.gp_acquisition.RankedPool method) CentroidsProposer (class in gpry.proposal) check_and_return_bounds() (in module gpry.tools) check_candidates() (in module gpry.tools) check_checkpoint() (in module gpry.io) check_in_bounds() (in module gpry.proposal) check_random_state() (in module gpry.tools) check_X() (gpry.acquisition_functions.AcquisitionFunction method) Clipper (class in gpry.surrogate) clone_with_theta() (gpry.acquisition_functions.AcquisitionFunction method) cobaya_generate_surr_model_input() (in module gpry.mc) CobayaWrapper (class in gpry.cobaya_interface) compute_mean_cov() (gpry.preprocessing.Whitening static method) compute_y_parallel() (in module gpry.mpi) ConstantAcqFunc (class in gpry.acquisition_functions) ConstantKernel (class in gpry.kernels) convergence_policy (gpry.convergence.ConvergenceCriterion property) convergence_policy_MPI (gpry.convergence.ConvergenceCriterion property) ConvergenceCheckError ConvergenceCriterion (class in gpry.convergence) copy() (gpry.gp_acquisition.RankedPool method) CorrectCounter (class in gpry.convergence) cov (gpry.gp_acquisition.NORA property) create_path() (in module gpry.io) credibility_of_nstd() (in module gpry.tools) criterion_value() (gpry.convergence.ConvergenceCriterion method) (gpry.convergence.CorrectCounter method) (gpry.convergence.DontConverge method) (gpry.convergence.GaussianKL method) (gpry.convergence.TrainAlignment method) criterion_value_from_means_cov() (gpry.convergence.TrainAlignment static method) D d (gpry.infinities_classifier.TrustRegion property) (gpry.proposal.CentroidsProposer property) (gpry.run.Runner property) (gpry.surrogate.SurrogateModel property) (gpry.truth.Truth property) delete_output() (gpry.ns_interfaces.InterfaceBlackJAX method) (gpry.ns_interfaces.InterfaceNessai method) (gpry.ns_interfaces.InterfacePolyChord method) (gpry.ns_interfaces.InterfaceUltraNest method) (gpry.ns_interfaces.NSInterface method) delta_logp_of_1d_nstd() (in module gpry.tools) diagnose_last_mc_sample() (gpry.run.Runner method) do_initial_training() (gpry.run.Runner method) do_mc_sample() (gpry.gp_acquisition.NORA method) DontConverge (class in gpry.convergence) DotProduct (class in gpry.kernels) DummyPreprocessor (class in gpry.preprocessing) E ensure_paths() (gpry.run.Runner method) ensure_scalar() (in module gpry.ns_interfaces) ensure_surrogate() (in module gpry.io) ExpectedImprovement (class in gpry.acquisition_functions) ExponentialMu (class in gpry.acquisition_functions) ExponentialStd (class in gpry.acquisition_functions) Exponentiation (class in gpry.acquisition_functions) (class in gpry.kernels) ExpSineSquared (class in gpry.kernels) F f() (gpry.acquisition_functions.BaseLogExp method) (gpry.acquisition_functions.LogExp static method) (gpry.acquisition_functions.NonlinearLogExp static method) fit() (gpry.gpr.GaussianProcessRegressor method) (gpry.infinities_classifier.InfinitiesClassifiers method) (gpry.infinities_classifier.SVM method) (gpry.infinities_classifier.ThresholdClassifier method) (gpry.infinities_classifier.TrustRegion method) (gpry.preprocessing.DummyPreprocessor class method) (gpry.preprocessing.NormalizeBounds method) (gpry.preprocessing.NormalizeY method) (gpry.preprocessing.NormalizeYChi2 method) (gpry.preprocessing.PipelineX method) (gpry.preprocessing.PipelineY method) (gpry.preprocessing.Whitening method) fitted (gpry.infinities_classifier.ThresholdClassifier property) (gpry.preprocessing.NormalizeY property) (gpry.surrogate.SurrogateModel property) force_agg_backend() (in module gpry.plots) fraction_prior_finite() (gpry.surrogate.SurrogateModel method) G gather() (in module gpry.mpi) gaussian_distance() (in module gpry.tools) GaussianKL (class in gpry.convergence) GaussianProcessRegressor (class in gpry.gpr) generate_mc_sample() (gpry.run.Runner method) generic_params_names() (in module gpry.tools) GenericGPAcquisition (class in gpry.gp_acquisition) get() (gpry.proposal.CentroidsProposer method) (gpry.proposal.MeanCovProposer method) (gpry.proposal.PartialProposer method) (gpry.proposal.PriorProposer method) (gpry.proposal.Proposer method) (gpry.proposal.ReferenceProposer method) (gpry.proposal.UniformProposer method) get_bibtex() (gpry.cobaya_interface.CobayaWrapper class method) get_checkpoint_dir() (gpry.cobaya_interface.CobayaWrapper class method) get_class_options() (gpry.cobaya_interface.CobayaWrapper class method) get_classifier_min_threshold() (gpry.infinities_classifier.InfinitiesClassifiers method) get_cobaya_log_level() (in module gpry.mc) get_desc() (gpry.cobaya_interface.CobayaWrapper class method) get_highest_current_threshold() (gpry.infinities_classifier.InfinitiesClassifiers method) get_history() (gpry.convergence.ConvergenceCriterion method) get_params() (gpry.acquisition_functions.AcquisitionFunction method) (gpry.acquisition_functions.AcquisitionFunctionOperator method) (gpry.acquisition_functions.Exponentiation method) get_random_generator() (in module gpry.mpi) get_truth() (in module gpry.truth) get_Xnumber() (in module gpry.tools) getdist_add_training() (in module gpry.plots) GPAcquisitionError gpr (gpry.run.Runner property) gpry.acquisition_functions module gpry.cobaya_interface module gpry.convergence module gpry.gp_acquisition module gpry.gpr module gpry.infinities_classifier module gpry.io module gpry.kernels module gpry.mc module gpry.mpi module gpry.ns_interfaces module gpry.plots module gpry.preprocessing module gpry.progress module gpry.proposal module gpry.run module gpry.surrogate module gpry.tools module gpry.truth module gradient_x() (gpry.kernels.ConstantKernel method) (gpry.kernels.DotProduct method) (gpry.kernels.Exponentiation method) (gpry.kernels.ExpSineSquared method) (gpry.kernels.Kernel method) (gpry.kernels.Matern method) (gpry.kernels.Product method) (gpry.kernels.RationalQuadratic method) (gpry.kernels.RBF method) (gpry.kernels.Sum method) (gpry.kernels.WhiteKernel method) H hasgradient (gpry.acquisition_functions.AcquisitionFunction property) help_column_names() (gpry.progress.Progress method) Hyperparameter (class in gpry.acquisition_functions) (class in gpry.kernels) hyperparameter_a (gpry.acquisition_functions.ExponentialMu property) (gpry.acquisition_functions.ExponentialStd property) (gpry.acquisition_functions.Mu property) (gpry.acquisition_functions.Std property) hyperparameter_alpha (gpry.kernels.RationalQuadratic property) hyperparameter_constant_value (gpry.acquisition_functions.ConstantAcqFunc property) (gpry.kernels.ConstantKernel property) hyperparameter_length_scale (gpry.kernels.ExpSineSquared property) (gpry.kernels.Matern property) (gpry.kernels.RationalQuadratic property) (gpry.kernels.RBF property) hyperparameter_noise_level (gpry.kernels.WhiteKernel property) hyperparameter_periodicity (gpry.kernels.ExpSineSquared property) hyperparameter_sigma_0 (gpry.kernels.DotProduct property) hyperparameter_sigma_n (gpry.acquisition_functions.BaseLogExp property) hyperparameter_xi (gpry.acquisition_functions.ExpectedImprovement property) hyperparameter_zeta (gpry.acquisition_functions.BaseLogExp property) hyperparameters (gpry.acquisition_functions.AcquisitionFunction property) (gpry.acquisition_functions.AcquisitionFunctionOperator property) (gpry.acquisition_functions.Exponentiation property) (gpry.kernels.Exponentiation property) (gpry.kernels.Kernel property) (gpry.kernels.KernelOperator property) (gpry.kernels.Product property) (gpry.kernels.Sum property) I i_finite_threshold() (gpry.infinities_classifier.ThresholdClassifier static method) i_finite_y() (gpry.infinities_classifier.InfinitiesClassifiers method) (gpry.infinities_classifier.ThresholdClassifier method) InfinitiesClassifiers (class in gpry.infinities_classifier) initialize() (gpry.cobaya_interface.CobayaWrapper method) InitialPointProposer (class in gpry.proposal) InterfaceBlackJAX (class in gpry.ns_interfaces) InterfaceNessai (class in gpry.ns_interfaces) InterfacePolyChord (class in gpry.ns_interfaces) InterfaceUltraNest (class in gpry.ns_interfaces) inverse_transform() (gpry.preprocessing.DummyPreprocessor class method) (gpry.preprocessing.NormalizeBounds method) (gpry.preprocessing.NormalizeY method) (gpry.preprocessing.PipelineX method) (gpry.preprocessing.PipelineY method) (gpry.preprocessing.Whitening method) inverse_transform_bounds() (gpry.preprocessing.DummyPreprocessor class method) (gpry.preprocessing.NormalizeBounds method) (gpry.preprocessing.PipelineX method) inverse_transform_scale() (gpry.preprocessing.DummyPreprocessor class method) (gpry.preprocessing.NormalizeBounds method) (gpry.preprocessing.NormalizeY method) (gpry.preprocessing.PipelineX method) (gpry.preprocessing.PipelineY method) is_acquisition_function() (in module gpry.acquisition_functions) is_converged() (gpry.convergence.ConvergenceCriterion method) (gpry.convergence.CorrectCounter method) (gpry.convergence.DontConverge method) (gpry.convergence.GaussianKL method) is_converged_MPIwrapped() (gpry.convergence.ConvergenceCriterion method) is_finite_X() (gpry.infinities_classifier.InfinitiesClassifiers method) (gpry.infinities_classifier.ThresholdClassifier method) (gpry.surrogate.SurrogateModel method) is_finite_y() (gpry.infinities_classifier.InfinitiesClassifiers method) (gpry.infinities_classifier.ThresholdClassifier method) (gpry.surrogate.SurrogateModel method) is_in_bounds() (in module gpry.tools) is_linear (gpry.preprocessing.DummyPreprocessor attribute) (gpry.preprocessing.NormalizeY property) is_MPI_aware (gpry.convergence.ConvergenceCriterion property) (gpry.convergence.GaussianKL property) is_nora() (gpry.cobaya_interface.CobayaWrapper static method) is_valid_covmat() (in module gpry.tools) K Kernel (class in gpry.kernels) KernelOperator (class in gpry.kernels) kl_mc() (in module gpry.tools) kl_norm() (in module gpry.tools) L labels (gpry.run.Runner property) (gpry.truth.Truth property) last_mc_logZ() (gpry.run.Runner method) last_mc_sample() (gpry.gp_acquisition.NORA method) last_mc_sample_getdist() (gpry.gp_acquisition.NORA method) last_mc_samples() (gpry.run.Runner method) last_mc_samples_as_collection() (gpry.cobaya_interface.CobayaWrapper method) last_value (gpry.convergence.ConvergenceCriterion property) limit (gpry.convergence.CorrectCounter property) log() (gpry.gp_acquisition.NORA method) (gpry.gp_acquisition.RankedPool method) (gpry.run.Runner method) log_marginal_likelihood() (gpry.gpr.GaussianProcessRegressor method) log_pool() (gpry.gp_acquisition.RankedPool method) LogExp (class in gpry.acquisition_functions) logL() (gpry.run.Runner method) logL_truth() (gpry.run.Runner method) loglike() (gpry.truth.Truth method) (gpry.truth.TruthCobaya method) logp() (gpry.run.Runner method) (gpry.surrogate.SurrogateModel method) (gpry.truth.Truth method) (gpry.truth.TruthCobaya method) logp_truth() (gpry.run.Runner method) logpost_eval_and_report() (gpry.run.Runner method) logprior() (gpry.run.Runner method) (gpry.truth.Truth method) (gpry.truth.TruthCobaya method) M Matern (class in gpry.kernels) mc_sample_from_gp_cobaya() (in module gpry.mc) mc_sample_from_gp_ns() (in module gpry.mc) mcmc_info_from_run() (in module gpry.mc) mean (gpry.gp_acquisition.NORA property) mean_covmat_from_evals() (in module gpry.tools) mean_covmat_from_samples() (in module gpry.tools) MeanCovProposer (class in gpry.proposal) merge_step_split() (in module gpry.mpi) min_acq (gpry.gp_acquisition.RankedPool property) module gpry.acquisition_functions gpry.cobaya_interface gpry.convergence gpry.gp_acquisition gpry.gpr gpry.infinities_classifier gpry.io gpry.kernels gpry.mc gpry.mpi gpry.ns_interfaces gpry.plots gpry.preprocessing gpry.progress gpry.proposal gpry.run gpry.surrogate gpry.tools gpry.truth mpi_sync() (gpry.progress.Progress method) Mu (class in gpry.acquisition_functions) multi_add() (gpry.gp_acquisition.BatchOptimizer method) (gpry.gp_acquisition.GenericGPAcquisition method) (gpry.gp_acquisition.NORA method) multi_gather_array() (in module gpry.mpi) N n_dims (gpry.acquisition_functions.AcquisitionFunction property) n_finite_left (gpry.run.Runner property) n_init (gpry.surrogate.SurrogateModel property) n_regress (gpry.surrogate.SurrogateModel property) n_total (gpry.surrogate.SurrogateModel property) n_total_left (gpry.run.Runner property) NestedSamplerNotInstalledError noise_level (gpry.gpr.GaussianProcessRegressor property) (gpry.surrogate.SurrogateModel property) NonlinearLogExp (class in gpry.acquisition_functions) NORA (class in gpry.gp_acquisition) normalize_input() (gpry.gp_acquisition.RankedPool method) NormalizeBounds (class in gpry.preprocessing) NormalizeY (class in gpry.preprocessing) NormalizeYChi2 (class in gpry.preprocessing) NSInterface (class in gpry.ns_interfaces) nstd_of_1d_nstd() (in module gpry.tools) NumpyErrorHandling (class in gpry.tools) O optimize_acquisition_function() (gpry.gp_acquisition.BatchOptimizer method) output_files_regexps() (gpry.cobaya_interface.CobayaWrapper class method) P param_samples_for_slices() (in module gpry.plots) params (gpry.run.Runner property) (gpry.truth.Truth property) PartialProposer (class in gpry.proposal) PipelineX (class in gpry.preprocessing) PipelineY (class in gpry.preprocessing) plot() (gpry.cobaya_interface.CobayaWrapper method) plot_convergence() (in module gpry.plots) plot_corner_getdist() (in module gpry.plots) plot_distance_distribution() (gpry.run.Runner method) (in module gpry.plots) plot_mc() (gpry.run.Runner method) plot_progress() (gpry.run.Runner method) plot_slices() (in module gpry.plots) plot_slices_func() (in module gpry.plots) plot_slices_reference() (in module gpry.plots) plot_timing() (gpry.progress.Progress method) plot_trace() (in module gpry.plots) polychord_info_from_run() (in module gpry.mc) pool_size (gpry.gp_acquisition.NORA property) predict() (gpry.gpr.GaussianProcessRegressor method) (gpry.infinities_classifier.SVM method) (gpry.infinities_classifier.TrustRegion method) (gpry.surrogate.SurrogateModel method) predict_std() (gpry.gpr.GaussianProcessRegressor method) (gpry.surrogate.SurrogateModel method) prepare_slices_func() (in module gpry.plots) prepare_transform() (gpry.preprocessing.Whitening static method) prior_bounds (gpry.run.Runner property) (gpry.truth.Truth property) prior_sample() (gpry.truth.Truth method) (gpry.truth.TruthCobaya method) PriorProposer (class in gpry.proposal) process_gdsamples() (in module gpry.mc) process_out_dir() (gpry.ns_interfaces.NSInterface static method) Product (class in gpry.acquisition_functions) (class in gpry.kernels) products() (gpry.cobaya_interface.CobayaWrapper method) Progress (class in gpry.progress) Proposer (class in gpry.proposal) R RankedPool (class in gpry.gp_acquisition) RationalQuadratic (class in gpry.kernels) RBF (class in gpry.kernels) read_checkpoint() (gpry.run.Runner method) (in module gpry.io) ref_sample() (gpry.truth.Truth method) (gpry.truth.TruthCobaya method) ReferenceProposer (class in gpry.proposal) remove_0_weight_samples() (in module gpry.tools) reset_cache() (gpry.gp_acquisition.RankedPool method) round_MPI() (in module gpry.mpi) run() (gpry.cobaya_interface.CobayaWrapper method) (gpry.ns_interfaces.InterfaceBlackJAX method) (gpry.ns_interfaces.InterfaceNessai method) (gpry.ns_interfaces.InterfacePolyChord method) (gpry.ns_interfaces.InterfaceUltraNest method) (gpry.ns_interfaces.NSInterface method) (gpry.run.Runner method) Runner (class in gpry.run) S sampler_type (gpry.cobaya_interface.CobayaWrapper attribute) samples() (gpry.cobaya_interface.CobayaWrapper method) samples_dict_to_getdist() (in module gpry.mc) save_checkpoint() (gpry.run.Runner method) (in module gpry.io) scales (gpry.gpr.GaussianProcessRegressor property) (gpry.surrogate.SurrogateModel property) set_fiducial_mc() (gpry.cobaya_interface.CobayaWrapper method) (gpry.run.Runner method) set_fiducial_point() (gpry.cobaya_interface.CobayaWrapper method) (gpry.run.Runner method) set_params() (gpry.acquisition_functions.AcquisitionFunction method) set_precision() (gpry.ns_interfaces.InterfaceBlackJAX method) (gpry.ns_interfaces.InterfaceNessai method) (gpry.ns_interfaces.InterfacePolyChord method) (gpry.ns_interfaces.InterfaceUltraNest method) (gpry.ns_interfaces.NSInterface method) set_prior() (gpry.ns_interfaces.InterfaceBlackJAX method) (gpry.ns_interfaces.InterfaceNessai method) (gpry.ns_interfaces.InterfacePolyChord method) (gpry.ns_interfaces.InterfaceUltraNest method) (gpry.ns_interfaces.NSInterface method) set_random_state() (gpry.infinities_classifier.InfinitiesClassifiers method) (gpry.infinities_classifier.SVM method) (gpry.surrogate.SurrogateModel method) set_verbosity() (gpry.ns_interfaces.InterfaceBlackJAX method) (gpry.ns_interfaces.InterfaceNessai method) (gpry.ns_interfaces.InterfacePolyChord method) (gpry.ns_interfaces.InterfaceUltraNest method) (gpry.ns_interfaces.NSInterface method) share_attr() (in module gpry.mpi) shrink_bounds() (in module gpry.tools) simple_latex_sci_notation() (in module gpry.plots) simple_progress() (in module gpry.tools) sort() (gpry.gp_acquisition.RankedPool method) split_number_for_parallel_processes() (in module gpry.mpi) Std (class in gpry.acquisition_functions) step_split() (in module gpry.mpi) str_point() (gpry.gp_acquisition.RankedPool method) str_pool() (gpry.gp_acquisition.RankedPool method) Sum (class in gpry.acquisition_functions) (class in gpry.kernels) SurrogateModel (class in gpry.surrogate) SVM (class in gpry.infinities_classifier) sync_processes() (in module gpry.mpi) T theta (gpry.acquisition_functions.AcquisitionFunction property) (gpry.acquisition_functions.AcquisitionFunctionOperator property) (gpry.acquisition_functions.Exponentiation property) ThresholdClassifier (class in gpry.infinities_classifier) Timer (class in gpry.progress) TimerCounter (class in gpry.progress) TrainAlignment (class in gpry.convergence) training_set_as_df() (gpry.surrogate.SurrogateModel method) transform() (gpry.preprocessing.DummyPreprocessor class method) (gpry.preprocessing.NormalizeBounds method) (gpry.preprocessing.NormalizeY method) (gpry.preprocessing.PipelineX method) (gpry.preprocessing.PipelineY method) (gpry.preprocessing.Whitening method) transform_bounds() (gpry.preprocessing.DummyPreprocessor class method) (gpry.preprocessing.NormalizeBounds method) (gpry.preprocessing.PipelineX method) (gpry.preprocessing.Whitening method) transform_scale() (gpry.preprocessing.DummyPreprocessor class method) (gpry.preprocessing.NormalizeY method) (gpry.preprocessing.PipelineX method) (gpry.preprocessing.PipelineY method) trivial (gpry.surrogate.Clipper property) trust_bounds (gpry.infinities_classifier.InfinitiesClassifiers property) (gpry.infinities_classifier.TrustRegion property) (gpry.surrogate.SurrogateModel property) TrustRegion (class in gpry.infinities_classifier) Truth (class in gpry.truth) TruthCobaya (class in gpry.truth) U UniformProposer (class in gpry.proposal) update() (gpry.proposal.CentroidsProposer method) (gpry.proposal.PartialProposer method) (gpry.proposal.Proposer method) update_bounds() (gpry.preprocessing.NormalizeBounds method) (gpry.proposal.CentroidsProposer method) (gpry.proposal.PartialProposer method) (gpry.proposal.Proposer method) (gpry.proposal.UniformProposer method) update_mean_cov() (gpry.run.Runner method) update_NS_precision() (gpry.gp_acquisition.NORA method) update_threshold_definition() (gpry.infinities_classifier.InfinitiesClassifiers method) (gpry.infinities_classifier.ThresholdClassifier method) V volume_sphere() (in module gpry.tools) W WhiteKernel (class in gpry.kernels) Whitening (class in gpry.preprocessing) wrap_likelihood() (in module gpry.tools) X X (gpry.surrogate.SurrogateModel property) X_infinite (gpry.surrogate.SurrogateModel property) X_init (gpry.surrogate.SurrogateModel property) X_last_appended (gpry.surrogate.SurrogateModel property) X_last_appended_regress (gpry.surrogate.SurrogateModel property) X_regress (gpry.surrogate.SurrogateModel property) Y y (gpry.surrogate.SurrogateModel property) y_infinite (gpry.surrogate.SurrogateModel property) y_init (gpry.surrogate.SurrogateModel property) y_last_appended (gpry.surrogate.SurrogateModel property) y_last_appended_regress (gpry.surrogate.SurrogateModel property) y_max (gpry.surrogate.SurrogateModel property) y_regress (gpry.surrogate.SurrogateModel property)
