Index

A

add_to_path() (dgpsi.kernel_class.kernel method)

aggregate_r2() (dgpsi.dgp.dgp method)

C

callback() (dgpsi.kernel_class.kernel method) Categorical (class in dgpsi.likelihood_class) change_init_scale() (dgpsi.dgp.dgp method) change_vecch_state() (dgpsi.emulation.emulator method) combine() (in module dgpsi.kernel_class)

compute_cl() (dgpsi.kernel_class.kernel method) compute_r2() (dgpsi.dgp.dgp method) compute_stats() (dgpsi.kernel_class.kernel method) cond_mean() (in module dgpsi.functions) container (class in dgpsi.linkgp)

D

D (dgpsi.kernel_class.kernel attribute) demean_matrices() (dgpsi.utils.NystromKPCA method) dgp (class in dgpsi.dgp) dgp_pred() (dgpsi.linkgp.lgp static method) dgpsi.dgp module dgpsi.emulation module dgpsi.functions module dgpsi.gp module

dgpsi.imputation module dgpsi.kernel_class module dgpsi.likelihood_class module dgpsi.linkgp module dgpsi.synthetic module dgpsi.utils module

E

emulator (class in dgpsi.emulation) estimate() (dgpsi.dgp.dgp method)

exact_post_idx (dgpsi.likelihood_class.Categorical attribute) (dgpsi.likelihood_class.Poisson attribute) export() (dgpsi.gp.gp method)

F

fit_transform() (dgpsi.utils.NystromKPCA method) flip_dimensions() (dgpsi.utils.NystromKPCA static method)

fmvn() (in module dgpsi.functions) fmvn_mu() (in module dgpsi.functions) fod_exp() (in module dgpsi.functions)

G

g (dgpsi.kernel_class.kernel attribute) g() (in module dgpsi.functions) generate() (dgpsi.synthetic.path method) get_inverse() (dgpsi.utils.NystromKPCA static method) get_thread() (in module dgpsi.utils) gfod (dgpsi.kernel_class.kernel attribute) gfod() (dgpsi.kernel_class.kernel method)

ghdiag() (in module dgpsi.functions) global_input (dgpsi.kernel_class.kernel attribute) gp (class in dgpsi.gp) gp() (in module dgpsi.functions) gp_non_parallel() (in module dgpsi.functions) gp_pred() (dgpsi.linkgp.lgp static method) gp_prediction() (dgpsi.kernel_class.kernel method)

H

have_same_shape() (in module dgpsi.utils)

Hetero (class in dgpsi.likelihood_class)

I

IJ_matern() (in module dgpsi.functions) IJ_sexp() (in module dgpsi.functions) imputer (class in dgpsi.imputation) initialize() (dgpsi.dgp.dgp method) (dgpsi.gp.gp method)

input (dgpsi.kernel_class.kernel attribute) (dgpsi.likelihood_class.Categorical attribute) (dgpsi.likelihood_class.Poisson attribute)

K

k_matrix() (dgpsi.kernel_class.kernel method) (dgpsi.synthetic.path static method)

k_one_vec() (in module dgpsi.functions) kernel (class in dgpsi.kernel_class) key_stats() (dgpsi.imputation.imputer method)

L

lgp (class in dgpsi.linkgp) link_gp() (in module dgpsi.functions) link_gp_non_parallel() (in module dgpsi.functions) linkgp_prediction() (dgpsi.kernel_class.kernel method) linkgp_prediction_full() (dgpsi.kernel_class.kernel method) llik() (dgpsi.kernel_class.kernel method) (dgpsi.likelihood_class.Categorical method) (dgpsi.likelihood_class.Hetero method) (dgpsi.likelihood_class.NegBin method) (dgpsi.likelihood_class.Poisson method)

llik_vecch() (dgpsi.kernel_class.kernel method) log_likelihood_func() (dgpsi.kernel_class.kernel method) log_likelihood_func_vecch() (dgpsi.kernel_class.kernel method) log_prior() (dgpsi.kernel_class.kernel method) log_prior_fod() (dgpsi.kernel_class.kernel method) log_t() (dgpsi.kernel_class.kernel method) logdet_nb() (in module dgpsi.functions) loo() (dgpsi.emulation.emulator method) (dgpsi.gp.gp method)

M

m (dgpsi.kernel_class.kernel attribute) matern_coef() (in module dgpsi.functions) matern_multi() (in module dgpsi.functions) matern_one() (in module dgpsi.functions) maximise() (dgpsi.kernel_class.kernel method) metric() (dgpsi.emulation.emulator method) (dgpsi.gp.gp method) mice_var() (in module dgpsi.functions) module dgpsi.dgp dgpsi.emulation dgpsi.functions dgpsi.gp dgpsi.imputation dgpsi.kernel_class dgpsi.likelihood_class dgpsi.linkgp dgpsi.synthetic dgpsi.utils

multistart() (in module dgpsi.utils)

N

nb_seed() (in module dgpsi.utils) NegBin (class in dgpsi.likelihood_class)

nllik() (dgpsi.emulation.emulator method) NNarray (dgpsi.kernel_class.kernel attribute) NystromKPCA (class in dgpsi.utils)

O

one_sample() (dgpsi.imputation.imputer static method) one_sample_block() (dgpsi.imputation.imputer static method) ord (dgpsi.kernel_class.kernel attribute)

ord_nn() (dgpsi.kernel_class.kernel method) output (dgpsi.kernel_class.kernel attribute) (dgpsi.likelihood_class.Categorical attribute) (dgpsi.likelihood_class.Poisson attribute)

P

para_path (dgpsi.kernel_class.kernel attribute) path (class in dgpsi.synthetic) pdist_matern_coef() (in module dgpsi.functions) pdist_matern_multi() (in module dgpsi.functions) pdist_matern_one() (in module dgpsi.functions) pllik() (dgpsi.likelihood_class.Categorical method) (dgpsi.likelihood_class.Hetero static method) (dgpsi.likelihood_class.NegBin static method) (dgpsi.likelihood_class.Poisson static method) ploo() (dgpsi.emulation.emulator method) plot() (dgpsi.dgp.dgp method) Pmatrix() (in module dgpsi.functions) pmetric() (dgpsi.emulation.emulator method) (dgpsi.gp.gp method) Poisson (class in dgpsi.likelihood_class) post_het1() (dgpsi.likelihood_class.Hetero static method) post_het2() (dgpsi.likelihood_class.Hetero static method)

post_het_vecch() (dgpsi.likelihood_class.Hetero static method) posterior() (dgpsi.likelihood_class.Hetero method) posterior_vecch() (dgpsi.likelihood_class.Hetero method) ppredict() (dgpsi.emulation.emulator method) (dgpsi.gp.gp method) (dgpsi.linkgp.lgp method) predict() (dgpsi.emulation.emulator method) (dgpsi.gp.gp method) (dgpsi.linkgp.lgp method) predict_mice() (dgpsi.emulation.emulator method) predict_mice_2layer_likelihood() (dgpsi.emulation.emulator method) predict_vigf() (dgpsi.emulation.emulator method) predict_vigf_2layer_likelihood() (dgpsi.emulation.emulator method) prediction() (dgpsi.likelihood_class.Categorical method) (dgpsi.likelihood_class.Hetero static method) (dgpsi.likelihood_class.NegBin static method) (dgpsi.likelihood_class.Poisson static method) ptrain() (dgpsi.dgp.dgp method)

R

R2 (dgpsi.kernel_class.kernel attribute) r2() (dgpsi.kernel_class.kernel method) randn() (in module dgpsi.functions) read() (in module dgpsi.utils) reinit_all_layer() (dgpsi.dgp.dgp method) remove_vecchia() (dgpsi.dgp.dgp method) (dgpsi.emulation.emulator method) (dgpsi.gp.gp method) (dgpsi.linkgp.container method)

rep (dgpsi.kernel_class.kernel attribute) (dgpsi.likelihood_class.Categorical attribute) (dgpsi.likelihood_class.Poisson attribute) rev_ord (dgpsi.kernel_class.kernel attribute) Rinv (dgpsi.kernel_class.kernel attribute) Rinv_y (dgpsi.kernel_class.kernel attribute)

S

sample() (dgpsi.imputation.imputer method) sampling() (dgpsi.likelihood_class.Categorical method) (dgpsi.likelihood_class.Hetero static method) (dgpsi.likelihood_class.NegBin static method) (dgpsi.likelihood_class.Poisson method)

set_local_input() (dgpsi.linkgp.container method) set_thread() (in module dgpsi.utils) set_vecchia() (dgpsi.linkgp.lgp method) summary() (in module dgpsi.utils)

T

temp_all_layer() (dgpsi.linkgp.lgp method) to_vecchia() (dgpsi.dgp.dgp method) (dgpsi.emulation.emulator method) (dgpsi.gp.gp method) (dgpsi.linkgp.container method) trace_nb() (in module dgpsi.functions)

trace_sum() (in module dgpsi.functions) train() (dgpsi.dgp.dgp method) (dgpsi.gp.gp method) type (dgpsi.kernel_class.kernel attribute) (dgpsi.likelihood_class.Categorical attribute) (dgpsi.likelihood_class.Poisson attribute)

U

uniform() (in module dgpsi.imputation) update() (dgpsi.kernel_class.kernel method) update_all_layer() (dgpsi.dgp.dgp method) update_all_layer_larger() (dgpsi.dgp.dgp method) update_all_layer_smaller() (dgpsi.dgp.dgp method)

update_f() (in module dgpsi.functions) update_kernel() (dgpsi.gp.gp method) update_ord_nn() (dgpsi.imputation.imputer method) update_xy() (dgpsi.dgp.dgp method) (dgpsi.gp.gp method)

V

vecch (dgpsi.kernel_class.kernel attribute)

W

write() (in module dgpsi.utils)