Index

A

abs() (in module gpmp.num) all() (in module gpmp.num) allclose() (in module gpmp.num) anisotropic_parameters_initial_guess() (in module gpmp.kernel) anisotropic_parameters_initial_guess_constant_mean() (in module gpmp.kernel) anisotropic_parameters_initial_guess_matern() (in module gpmp.kernel) anisotropic_parameters_initial_guess_matern_constant_mean() (in module gpmp.kernel) anisotropic_parameters_initial_guess_zero_mean() (in module gpmp.kernel) any() (in module gpmp.num)

arange() (in module gpmp.num) argmax() (in module gpmp.num) argmin() (in module gpmp.num) array() (in module gpmp.num) array_equal() (in module gpmp.num) asarray() (in module gpmp.num) asdouble() (in module gpmp.num) asint() (in module gpmp.num) autoselect_parameters() (in module gpmp.kernel)

B

BatchDifferentiableSelectionCriterion (class in gpmp.num) borehole() (in module gpmp.misc.testfunctions)

bounds (gpmp.modeldiagnosis.Unnormalized1DDistribution attribute) braninhoo() (in module gpmp.misc.testfunctions)

C

cdf() (gpmp.modeldiagnosis.Unnormalized1DDistribution method) (gpmp.num.multivariate_normal method) (gpmp.num.normal method) ceil() (in module gpmp.num) cho_factor() (in module gpmp.num) cho_solve() (in module gpmp.num) choice() (in module gpmp.num) cholesky() (in module gpmp.num) cholesky_inv() (in module gpmp.num) cholesky_solve() (in module gpmp.num) clip() (in module gpmp.num) compute_gammaln() (in module gpmp.num)

compute_logrho_min_from_xi() (in module gpmp.kernel) compute_performance() (in module gpmp.modeldiagnosis) concatenate() (in module gpmp.num) cond() (in module gpmp.num) conditional_sample_paths() (gpmp.core.Model method) conditional_sample_paths_parameterized_mean() (gpmp.core.Model method) copy() (in module gpmp.num) cos() (in module gpmp.num) cov() (in module gpmp.num) covariance (gpmp.core.Model attribute) covparam (gpmp.core.Model attribute) crosssections() (in module gpmp.plot) cumsum() (in module gpmp.num)

D

DataLoader (class in gpmp.dataloader) Dataset (class in gpmp.dataloader) describe_array() (in module gpmp.modeldiagnosis) detpep8d() (in module gpmp.misc.testfunctions)

diag() (in module gpmp.modeldiagnosis) (in module gpmp.num) DifferentiableSelectionCriterion (class in gpmp.num) discrepancy() (in module gpmp.misc.designs)

E

empirical_bounds_factory() (in module gpmp.kernel) empty() (in module gpmp.num) empty_like() (in module gpmp.num) evaluate() (gpmp.num.BatchDifferentiableSelectionCriterion method) (gpmp.num.DifferentiableSelectionCriterion method) evaluate_no_grad() (gpmp.num.BatchDifferentiableSelectionCriterion method) (gpmp.num.DifferentiableSelectionCriterion method)

evaluate_pre_grad() (gpmp.num.BatchDifferentiableSelectionCriterion method) (gpmp.num.DifferentiableSelectionCriterion method) exp() (in module gpmp.num) expand_dims() (in module gpmp.num) eye() (in module gpmp.num)

F

f() (gpmp.modeldiagnosis.Unnormalized1DDistribution method) fast_univariate_stats() (in module gpmp.modeldiagnosis) Figure (class in gpmp.plot) filldist_approx() (in module gpmp.misc.designs) fisher_information() (gpmp.core.Model method)

fisher_information_cpd() (gpmp.core.Model method) fisher_information_torch() (gpmp.core.Model method) floor() (in module gpmp.num) full() (in module gpmp.num) full_like() (in module gpmp.num)

G

gammaln() (in module gpmp.num) get_default_prior_hyperparameters() (in module gpmp.kernel.prior_defaults) get_dtype() (in module gpmp.num) get_log_target_values() (in module gpmp.mcmc) gpmp.core module gpmp.misc.designs module gpmp.misc.testfunctions module

gpmp.modeldiagnosis module gpmp.parameter module gpmp.plot module grad() (in module gpmp.num) gradient() (gpmp.num.BatchDifferentiableSelectionCriterion method) (gpmp.num.DifferentiableSelectionCriterion method)

H

hartmann4() (in module gpmp.misc.testfunctions)

hartmann6() (in module gpmp.misc.testfunctions) hstack() (in module gpmp.num)

I

inftobigf() (in module gpmp.num) inv() (in module gpmp.num) isarray() (in module gpmp.num) isclose() (in module gpmp.num)

isfinite() (in module gpmp.num) ishigami() (in module gpmp.misc.testfunctions) isinf() (in module gpmp.num) isnan() (in module gpmp.num)

K

k_fold_indices() (gpmp.dataloader.Dataset static method) k_inverses() (gpmp.core.Model method)

kriging_predictor() (gpmp.core.Model method) kriging_predictor_with_zero_mean() (gpmp.core.Model method)

L

ldrandunif() (in module gpmp.misc.designs) linspace() (in module gpmp.num) log() (in module gpmp.num) log10() (in module gpmp.num) log1p() (in module gpmp.num) log_indicator_density() (in module gpmp.mcmc) log_pdf (gpmp.modeldiagnosis.Unnormalized1DDistribution attribute) log_prior_gaussian_logsigma2() (in module gpmp.kernel) log_prior_jeffreys_variance() (in module gpmp.kernel) log_prior_logrho_barrier_linear() (in module gpmp.kernel)

log_prior_power_law() (in module gpmp.kernel) log_prior_reference() (in module gpmp.kernel) logcdf() (gpmp.num.normal method) logdet() (in module gpmp.num) logical_and() (in module gpmp.num) logical_not() (in module gpmp.num) logical_or() (in module gpmp.num) logpdf() (gpmp.num.multivariate_normal method) (gpmp.num.normal method) logspace() (in module gpmp.num) loo() (gpmp.core.Model method)

M

make_anisotropic_param() (in module gpmp.parameter) make_selection_criterion_with_gradient() (in module gpmp.kernel) make_single_param_criterion_function() (in module gpmp.modeldiagnosis) matern12_kernel() (in module gpmp.kernel) matern32_kernel() (in module gpmp.kernel) matern52_kernel() (in module gpmp.kernel) matern_correlation_from_squared_distance() (in module gpmp.num) matern_covariance() (in module gpmp.kernel) matern_kernel() (in module gpmp.kernel) maternp_covariance() (in module gpmp.kernel) maternp_kernel() (in module gpmp.kernel) max() (in module gpmp.num) maxdist() (in module gpmp.misc.designs) maximinldlhs() (in module gpmp.misc.designs) maximinlhs() (in module gpmp.misc.designs) maximum() (in module gpmp.num) mean (gpmp.core.Model attribute) mean() (gpmp.modeldiagnosis.Unnormalized1DDistribution method) (in module gpmp.num)

meanparam (gpmp.core.Model attribute) meantype (gpmp.core.Model attribute) meshgrid() (in module gpmp.num) MetropolisHastings (class in gpmp.mcmc) MHOptions (class in gpmp.mcmc) min() (in module gpmp.num) mindist() (in module gpmp.misc.designs) minimum() (in module gpmp.num) MinMaxScaler (class in gpmp.dataloader) Model (class in gpmp.core) model_diagnosis_disp() (in module gpmp.modeldiagnosis) modeldiagnosis_init() (in module gpmp.modeldiagnosis) module gpmp.core gpmp.misc.designs gpmp.misc.testfunctions gpmp.modeldiagnosis gpmp.parameter gpmp.plot multivariate_normal (class in gpmp.num)

N

nan_to_num() (in module gpmp.num) neg_log_restricted_posterior_logsigma2_and_logrho_prior() (in module gpmp.kernel) neg_log_restricted_posterior_logsigma2_prior() (in module gpmp.kernel) neg_log_restricted_posterior_power_laws_prior() (in module gpmp.kernel) neg_log_restricted_posterior_with_logrho_prior() (in module gpmp.kernel) negative_log_likelihood() (gpmp.core.Model method) (in module gpmp.kernel) negative_log_likelihood_zero_mean() (gpmp.core.Model method) (in module gpmp.kernel) negative_log_restricted_likelihood() (gpmp.core.Model method) (in module gpmp.kernel)

neglog_f_logrho() (in module gpmp.kernel) norm() (in module gpmp.num) norm_k_sqrd() (gpmp.core.Model method) norm_k_sqrd_with_zero_mean() (gpmp.core.Model method) normal (class in gpmp.num) Normalization (class in gpmp.parameter) Normalizer (class in gpmp.dataloader) nuts_sample() (in module gpmp.mcmc) nuts_transition() (in module gpmp.mcmc) NUTSOptions (class in gpmp.mcmc)

O

ObservationScaler (class in gpmp.dataloader)

ones() (in module gpmp.num) ones_like() (in module gpmp.num)

P

param_from_covparam_sigma2_nu_rho() (in module gpmp.parameter) ParticlesSetConfig (class in gpmp.mcmc) pdf() (gpmp.modeldiagnosis.Unnormalized1DDistribution method) (gpmp.num.normal method) percentile() (in module gpmp.num) perf() (in module gpmp.modeldiagnosis) permutation() (in module gpmp.num)

plot_loo() (in module gpmp.plot) plot_nuts_diagnostics() (in module gpmp.mcmc) plotgp() (gpmp.plot.Figure method) predict() (gpmp.core.Model method) pretty_print_dictionary() (in module gpmp.modeldiagnosis) pretty_print_dictionnary() (in module gpmp.modeldiagnosis) prod() (in module gpmp.num)

Q

qr() (in module gpmp.num)

quantile() (gpmp.modeldiagnosis.Unnormalized1DDistribution method)

R

rand() (in module gpmp.num) randn() (in module gpmp.num) random_generator() (in module gpmp.num) randunif() (in module gpmp.misc.designs) reduce_mean() (gpmp.dataloader.DataLoader method) regulargrid() (in module gpmp.misc.designs)

repeated_k_fold_indices() (gpmp.dataloader.Dataset static method) reshape() (in module gpmp.num) RobustScaler (class in gpmp.dataloader) run_smc_sampling() (in module gpmp.mcmc) run_subset_simulation() (in module gpmp.mcmc) rvs() (gpmp.num.multivariate_normal method)

S

safe_inf() (in module gpmp.num) safe_neginf() (in module gpmp.num) sample_from_selection_criterion_mh() (in module gpmp.mcmc) sample_from_selection_criterion_nuts() (in module gpmp.mcmc) sample_from_selection_criterion_smc() (in module gpmp.mcmc) sample_multivariate_normal_with_jitter() (in module gpmp.mcmc) sample_paths() (gpmp.core.Model method) scale() (in module gpmp.misc.designs) scaled_distance() (in module gpmp.num) scaled_distance_elementwise() (in module gpmp.num) scaled_squared_distance() (in module gpmp.num) scaled_squared_distance_elementwise() (in module gpmp.num) select_parameters_sigma2_nu_rho_constant_mean_with_ml() (in module gpmp.kernel) select_parameters_sigma2_nu_rho_with_reml() (in module gpmp.kernel) select_parameters_sigma2_rho_constant_mean_with_ml() (in module gpmp.kernel) select_parameters_sigma2_rho_with_remap_logsigma2_logrho_prior() (in module gpmp.kernel) select_parameters_sigma2_rho_with_remap_logsigma2_prior() (in module gpmp.kernel) select_parameters_sigma2_rho_with_remap_power_laws_prior() (in module gpmp.kernel) select_parameters_sigma2_rho_with_reml() (in module gpmp.kernel) select_parameters_with_criterion() (in module gpmp.kernel)

selection_criterion_statistics() (in module gpmp.modeldiagnosis) selection_criterion_statistics_fast() (in module gpmp.modeldiagnosis) set_default_prior_hyperparameters() (in module gpmp.kernel.prior_defaults) set_epoch() (gpmp.dataloader.DataLoader method) set_seed() (in module gpmp.num) sigma_rho_from_covparam() (in module gpmp.modeldiagnosis) sin() (in module gpmp.num) SMCConfig (class in gpmp.mcmc) solve() (in module gpmp.num) solve_triangular() (in module gpmp.num) split() (gpmp.dataloader.Dataset static method) (in module gpmp.num) sqrt() (in module gpmp.num) squared_exponential_covariance() (in module gpmp.kernel) squared_exponential_kernel() (in module gpmp.kernel) stack() (in module gpmp.num) std() (in module gpmp.num) subset() (gpmp.dataloader.Dataset method) sum() (in module gpmp.num) svd() (in module gpmp.num)

T

tan() (in module gpmp.num) tanh() (in module gpmp.num) tile() (in module gpmp.num) to_np() (in module gpmp.num)

to_scalar() (in module gpmp.num) transpose() (in module gpmp.num) triu() (in module gpmp.num) twobumps() (in module gpmp.misc.testfunctions)

U

Unnormalized1DDistribution (class in gpmp.modeldiagnosis) update_parameters_sigma2_nu_rho_constant_mean_with_ml() (in module gpmp.kernel) update_parameters_sigma2_nu_rho_with_reml() (in module gpmp.kernel) update_parameters_sigma2_rho_constant_mean_with_ml() (in module gpmp.kernel)

update_parameters_sigma2_rho_with_remap_logsigma2_logrho_prior() (in module gpmp.kernel) update_parameters_sigma2_rho_with_remap_logsigma2_prior() (in module gpmp.kernel) update_parameters_sigma2_rho_with_remap_power_laws_prior() (in module gpmp.kernel) update_parameters_sigma2_rho_with_reml() (in module gpmp.kernel) update_parameters_with_criterion() (in module gpmp.kernel)

V

value_and_grad() (in module gpmp.num) var() (gpmp.modeldiagnosis.Unnormalized1DDistribution method) (in module gpmp.num)

vstack() (in module gpmp.num)

W

wave() (in module gpmp.misc.testfunctions)

where() (in module gpmp.num)

Z

Z (gpmp.modeldiagnosis.Unnormalized1DDistribution attribute)

zeros() (in module gpmp.num) zeros_like() (in module gpmp.num)