Index

_

__init__() (Calibrator method) (ClosedSobol method) (ClosedSobolWithError method) (ClosedSobolWithRotation method) (Collect method) (Data method) (DOE method) (Fold method) (Frame method), [1] (Function method) (Gaussian method) (GaussianNoise method) (GPR method) (GSA method) (Kernel method) (Likelihood method) (Model method) (MOGaussian method) (MOGP method) (MOGPR method) (MOMeanFunction method) (MOStationary method) (Normalization method) (NP method) (RBF method), [1] (Repository method) (Scalar method) (Sobol method) (TF method) (Variance method) (Vector method)

A

ALL (in module romcomma.user.functions) apply_to() (Normalization method) ard (MOStationary property) (RBF property)

Array (NP attribute) (TF attribute)

B

broadcast_parameters() (GPR method) (Kernel method) (MOGP method) (RBF method)

broadcast_value() (Frame method)

C

calc_num_latent_gps() (MOGPR static method) calc_num_latent_gps_from_data() (MOGPR static method) calibrate() (GSA method) (Kernel method) (Likelihood method) (MOGP method) (RBF method) (Sobol method) Calibrator (class in romcomma.gsa.base) calibrator (GSA property) (Sobol property) check_K_inv_Y() (MOGP method) cho_diag (Gaussian attribute) cholesky (Variance property) clean_copy() (Fold method) (Repository method) clear() (Vector method) ClosedSobol (class in romcomma.gsa.calibrators) ClosedSobolWithError (class in romcomma.gsa.calibrators) ClosedSobolWithError.RankEquation (class in romcomma.gsa.calibrators) ClosedSobolWithError.RankEquations (class in romcomma.gsa.calibrators) ClosedSobolWithRotation (class in romcomma.gsa.calibrators) Collect (class in romcomma.user.results) collection() (Function method)

concat() (Vector class method) conditional_mean() (MOGaussian method) conditional_variance() (MOGaussian method) copy() (Data static method) (GPR.Data static method) (GSA.Data static method) (in module romcomma.user.results) (Kernel.Data static method) (Likelihood.Data static method) (Model.Data static method) (MOGP.Data static method) (RBF.Data static method) (Sobol.Data static method) (Vector method) count() (ClosedSobolWithError.RankEquation method) (ClosedSobolWithError.RankEquations method) (Data.NamedTuple method) (GSA.Data.NamedTuple method) (Model.Data.NamedTuple method) covariance() (in module romcomma.gpf.tests) Covector (NP attribute) (TF attribute) csv (Frame attribute) CSV_OPTIONS (Frame property) csvs (Collect attribute)

D

Data (class in romcomma.base.classes) Data.NamedTuple (class in romcomma.base.classes) delete() (Data static method) (GPR.Data static method) (GSA.Data static method) (Kernel.Data static method) (Likelihood.Data static method) (Model.Data static method) (MOGP.Data static method) (RBF.Data static method) (Sobol.Data static method)

det (Gaussian property) diag_det() (in module romcomma.gsa.base) DIAGONAL (ClosedSobolWithError.RankEquations attribute) DOE (class in romcomma.user.sample) dtype (TF.Tensor property)

E

EFFECTIVELY_ZERO (in module romcomma.base.definitions) empty() (Data static method) (GPR.Data static method) (GSA.Data static method) (Kernel.Data static method) (Likelihood.Data static method) (Model.Data static method) (MOGP.Data static method) (RBF.Data static method) (Sobol.Data static method)

Environment() (in module romcomma.user.contexts) eval() (TF.Tensor method) expand_dims() (Gaussian method) experimental_ref() (TF.Tensor method) exponent (Gaussian attribute)

F

FLOAT() (in module romcomma.base.definitions) Fold (class in romcomma.data.storage) fold (GPR property) (MOGP property) folder, [1] folders (Collect attribute) folds (Fold property) (Repository property) Frame (class in romcomma.base.classes) (class in romcomma.data.storage)

from_csv() (Fold class method) (Repository class method) from_df() (Fold class method) (Repository class method) from_dfs() (Fold class method) from_folders() (Collect method) from_folds() (Collect method) fromkeys() (Vector method) full_factorial() (DOE static method) Function (class in romcomma.user.sample) functions (MOMeanFunction property)

G

Gaussian (class in romcomma.gsa.base) GaussianNoise (class in romcomma.user.sample) GaussianNoise.Variance (class in romcomma.user.sample) get() (Vector method) get_shape() (TF.Tensor method) gf, [1] gls() (in module romcomma.user.regression) GPR, [1] (class in romcomma.gpr.models)

gpr() (in module romcomma.user.run) GPR.Data (class in romcomma.gpr.models) GSA, [1] (class in romcomma.gsa.models) gsa() (in module romcomma.user.run) GSA.Data (class in romcomma.gsa.models) GSA.Data.NamedTuple (class in romcomma.gsa.models) GSA.Kind (class in romcomma.gsa.models)

I

i (ClosedSobolWithError.RankEquation attribute) ignore_missing (Collect attribute) implementation (GPR property) (Kernel property) (MOGP property) (RBF property) increment() (in module romcomma.gpf.tests) index() (ClosedSobolWithError.RankEquation method) (ClosedSobolWithError.RankEquations method) (Data.NamedTuple method) (GSA.Data.NamedTuple method) (Model.Data.NamedTuple method)

INT() (in module romcomma.base.definitions) into_K_folds() (Fold method) (Repository method) is_covariant (Kernel property) (RBF property) is_empty (Frame property) ISHIGAMI (in module romcomma.user.functions) items() (Vector method)

J

j (ClosedSobolWithError.RankEquation attribute)

K

k (ClosedSobolWithError.RankEquation attribute) K (Fold property) (Repository property) K_cho (GPR property) (MOGP property) K_d() (MOStationary method) (RBF method) K_d_apply_variance() (MOStationary method) (RBF method) K_d_unit_variance() (MOStationary method) (RBF method)

K_diag() (MOStationary method) (RBF method) K_inv_Y (GPR property) (MOGP property) K_unit_variance() (MOStationary method) (RBF method) Kernel (class in romcomma.gpr.kernels) kernel() (in module romcomma.gpf.tests) Kernel.Data (class in romcomma.gpr.kernels) KERNEL_FOLDER_NAME (GPR property) (MOGP attribute) keys() (Vector method)

L

l (ClosedSobolWithError.RankEquation attribute) L (Fold property) (GPR property) (Kernel property) (MOGP property) (MOGPR property) (RBF property) (Repository property) latin_hypercube() (DOE static method)

lengthscales_neat (MOStationary property) (RBF property) Likelihood (class in romcomma.gpr.models) likelihood() (in module romcomma.gpf.tests) Likelihood.Data (class in romcomma.gpr.models) linspace() (in module romcomma.user.functions) log_marginal_likelihood() (MOGPR method) log_posterior_density() (MOGPR method) log_prior_density() (MOGPR method) log_prob() (MOGaussian method)

M

M (Fold property) (GPR property) (Kernel property) (MOGP property) (MOGPR property) (RBF property) (Repository property) marginalize() (ClosedSobol method) (ClosedSobolWithError method) (ClosedSobolWithRotation method) matrix (GaussianNoise.Variance property) Matrix (NP attribute) (TF attribute) maximum_log_likelihood_objective() (MOGPR method) mean() (in module romcomma.gsa.base) META (ClosedSobol property) (ClosedSobolWithError property) (ClosedSobolWithRotation attribute) meta (GaussianNoise.Variance property) META (GPR property) (GSA attribute) (Kernel property) (Likelihood property) (Model property) (MOGP property) (RBF attribute) (Sobol property) meta (Vector property) Method (DOE attribute) MIXED (ClosedSobolWithError.RankEquations attribute) Model (class in romcomma.base.classes) Model.Data (class in romcomma.base.classes) Model.Data.NamedTuple (class in romcomma.base.classes) module, [1] romcomma romcomma.base romcomma.base.classes romcomma.base.definitions romcomma.data romcomma.data.storage romcomma.gpf romcomma.gpf.base romcomma.gpf.kernels romcomma.gpf.likelihoods romcomma.gpf.mean_functions romcomma.gpf.models romcomma.gpf.tests romcomma.gpr romcomma.gpr.kernels romcomma.gpr.models romcomma.gsa romcomma.gsa.base romcomma.gsa.calibrators romcomma.gsa.models romcomma.rom romcomma.rom.old romcomma.user romcomma.user.contexts romcomma.user.functions romcomma.user.regression romcomma.user.results romcomma.user.run romcomma.user.sample

MOGaussian (class in romcomma.gpf.likelihoods) MOGP (class in romcomma.gpr.models) MOGP.Data (class in romcomma.gpr.models) MOGPR (class in romcomma.gpf.models) MOMeanFunction (class in romcomma.gpf.mean_functions) MOStationary (class in romcomma.gpf.kernels) move() (Data method) (GPR.Data method) (GSA.Data method) (Kernel.Data method) (Likelihood.Data method) (Model.Data method) (MOGP.Data method) (RBF.Data method) (Sobol.Data method) ms() (in module romcomma.gsa.base)

N

N (Fold property) (GPR property) (MOGP property) (Repository property) N() (MOGaussian method) name (ClosedSobol property) (ClosedSobolWithError property) (ClosedSobolWithRotation property) (MOGaussian property) (MOGPR property) (MOMeanFunction property) (MOStationary property) (RBF property) (Variance property) name_scope (ClosedSobol property) (ClosedSobolWithError property) (ClosedSobolWithRotation property) (MOGaussian property) (MOGPR property) (MOMeanFunction property) (MOStationary property) (RBF property) (Variance property)

NamedTuple (GPR.Data attribute) (Kernel.Data attribute) (Likelihood.Data attribute) (MOGP.Data attribute) (RBF.Data attribute) (Sobol.Data attribute) NaN (TF attribute) non_trainable_variables (ClosedSobol property) (ClosedSobolWithError property) (ClosedSobolWithRotation property) (MOGaussian property) (MOGPR property) (MOMeanFunction property) (MOStationary property) (RBF property) (Variance property) Normalization (class in romcomma.data.storage) NotImplemented (Data.NamedTuple attribute) (GSA.Data.NamedTuple attribute) (Model.Data.NamedTuple attribute) np, [1] NP (class in romcomma.base.definitions)

O

OAKLEY2004 (in module romcomma.user.functions) OAKLEY2004_5 (in module romcomma.user.functions)

on_separate_dims() (MOStationary method) (RBF method) output_dim (MOMeanFunction property)

P

package, [1] PairOfInts (TF attribute) pd, [1] pdf (Gaussian property) permute_axes() (in module romcomma.user.sample) pop() (Vector method) popitem() (Vector method) predict() (GPR method) (MOGP method)

predict_df() (GPR method) (MOGP method) predict_f() (MOGPR method) predict_f_samples() (MOGPR method) predict_gradient() (GPR method) (MOGP method) predict_log_density() (MOGaussian method) (MOGPR method) predict_mean_and_var() (MOGaussian method) predict_y() (MOGPR method)

R

RBF (class in romcomma.gpf.kernels) (class in romcomma.gpr.kernels) RBF.Data (class in romcomma.gpr.kernels) read() (Data class method) (GPR.Data class method) (GSA.Data class method) (Kernel.Data class method) (Likelihood.Data class method) (Model.Data class method) (MOGP.Data class method) (RBF.Data class method) (Sobol.Data class method) ref() (TF.Tensor method) regression_data() (in module romcomma.gpf.tests) repo (Function property) Repository (class in romcomma.data.storage) rms() (in module romcomma.gsa.base) ROM, [1] romcomma module romcomma.base module romcomma.base.classes module romcomma.base.definitions module romcomma.data module romcomma.data.storage module romcomma.gpf module romcomma.gpf.base module romcomma.gpf.kernels module romcomma.gpf.likelihoods module romcomma.gpf.mean_functions module

romcomma.gpf.models module romcomma.gpf.tests module romcomma.gpr module romcomma.gpr.kernels module romcomma.gpr.models module romcomma.gsa module romcomma.gsa.base module romcomma.gsa.calibrators module romcomma.gsa.models module romcomma.rom module romcomma.rom.old module romcomma.user module romcomma.user.contexts module romcomma.user.functions module romcomma.user.regression module romcomma.user.results module romcomma.user.run module romcomma.user.sample module rotate_folds() (Fold method) (Repository method)

S

Scalar (class in romcomma.user.functions) scaled_difference_matrix() (MOStationary method) (RBF method) set_shape() (TF.Tensor method) setdefault() (Vector method) shape (TF.Tensor property) (Variance property) Slice (TF attribute) slice() (MOStationary method) (RBF method) slice_cov() (MOStationary method) (RBF method) Sobol (class in romcomma.gsa.models) Sobol.Data (class in romcomma.gsa.models) Sobol.Kind (class in romcomma.gsa.models)

SOBOL_G (in module romcomma.user.functions) sos() (in module romcomma.gsa.base) space_filling_test() (DOE static method) split_axis_shape() (MOGaussian method) StdDev, [1] submodules (ClosedSobol property) (ClosedSobolWithError property) (ClosedSobolWithRotation property) (MOGaussian property) (MOGPR property) (MOMeanFunction property) (MOStationary property) (RBF property) (Variance property) subVector() (Vector method) sym_check() (in module romcomma.gsa.base)

T

Tensor (NP attribute) Tensor1 (NP attribute) (TF attribute) Tensor2 (NP attribute) (TF attribute) Tensor3 (NP attribute) (TF attribute) Tensor4 (NP attribute) (TF attribute) Tensor5 (NP attribute) (TF attribute) Tensor6 (NP attribute) (TF attribute) Tensor7 (NP attribute) (TF attribute) Tensor8 (NP attribute) (TF attribute) test() (GPR method) (MOGP method) test_x (Fold property) test_y (Fold property)

tf, [1] TF (class in romcomma.base.definitions) TF.Tensor (class in romcomma.base.definitions) Timer() (in module romcomma.user.contexts) trainable_variables (ClosedSobol property) (ClosedSobolWithError property) (ClosedSobolWithRotation property) (MOGaussian property) (MOGPR property) (MOMeanFunction property) (MOStationary property) (RBF property) (Variance property) training_loss() (MOGPR method) training_loss_closure() (MOGPR method) TYPE_IDENTIFIER (Kernel property) (RBF attribute) TypeFromIdentifier() (Kernel class method) (RBF class method) TypeFromParameters() (Kernel class method) (RBF class method)

U

un_rotate_folds() (Function method) undo_from() (Normalization method)

unscale_Y() (Normalization method) update() (Vector method)

V

value (Variance property) value_times_eye() (Variance method) value_to_broadcast (Variance property) values() (Vector method) variables (ClosedSobol property) (ClosedSobolWithError property) (ClosedSobolWithRotation property) (MOGaussian property) (MOGPR property) (MOMeanFunction property) (MOStationary property) (RBF property) (Variance property)

Variance (class in romcomma.gpf.base) variational_expectations() (MOGaussian method) Vector (class in romcomma.user.functions) (NP attribute) (TF attribute)

W

with_name_scope() (ClosedSobol class method) (ClosedSobolWithError class method) (ClosedSobolWithRotation class method) (MOGaussian class method) (MOGPR class method) (MOMeanFunction class method) (MOStationary class method) (RBF class method) (Variance class method)

write() (Frame method), [1] write_options (Collect attribute)

X

X (Fold property) (GPR property) (MOGP property) (Repository property)

X_gradient() (Normalization method) X_rotation (Fold property)

Y

Y (Fold property) (GPR property) (MOGP property) (Repository property)

Y_split() (Fold method) (Repository method) Y_splits (Fold property) (Repository property)