Index

_

__add__() (best.maps.CovarianceFunction method) __call__() (best.gp.best.gp.MultioutputGaussianProcess method) (GeneralizedLinearModel method) (best.maps.CovarianceFunction method) (best.maps.best.maps.FunctionScreened method) (best.random.best.random.ConditionalDistribution method) (best.random.best.random.GaussianLikelihoodFunction method) (best.random.best.random.JointDistribution method) (best.random.best.random.MarkovChain method) (best.random.best.random.MixtureOfDistributions method) (best.random.best.random.NormalDistribution method) (best.random.best.random.PosteriorDistribution method) (best.random.best.random.ProductDistribution method) (best.random.best.random.RandomWalkProposal method) (best.random.best.random.StudentTLikelihoodFunction method) (best.random.best.random.UniformDistribution method) __getitem__() (best.random.best.random.RandomVectorIndependent method) __init__() (best.domain.best.domain.AllSpace method) (GeneralizedLinearModel method) (best.Object method) (best.domain.best.domain.Domain method) (best.domain.best.domain.Rectangle method) (best.domain.best.domain.UnitCube method) (best.gp.best.gp.MultioutputGaussianProcess method) (best.gpc.best.gpc.OrthogonalPolynomial method) (best.gpc.best.gpc.ProductBasis method) (best.linalg.GeneralizedSVD method) (best.linalg.IncompleteCholesky method) (best.maps.CovarianceFunction method) (best.maps.CovarianceFunctionBasis method) (best.maps.best.maps.Function method) (best.maps.best.maps.FunctionScreened method) (best.random.best.random.ConditionalDistribution method) (best.random.best.random.Distributions method) (best.random.best.random.GaussianLikelihoodFunction method) (best.random.best.random.JointDistribution method) (best.random.best.random.KarhuneLoeveExpansion method) (best.random.best.random.LikelihoodFunction method) (best.random.best.random.LikelihoodFunctionWithGivenMean method) (best.random.best.random.MarkovChain method) (best.random.best.random.MixtureOfDistributions method) (best.random.best.random.NormalDistribution method) (best.random.best.random.PosteriorDistribution method) (best.random.best.random.ProductDistribution method) (best.random.best.random.ProposalDistribution method) (best.random.best.random.RandomVariableConditional method) (best.random.best.random.RandomVector method) (best.random.best.random.RandomVectorIndependent method) (best.random.best.random.RandomWalkProposal method) (best.random.best.random.StudentTDistribution method) (best.random.best.random.StudentTLikelihoodFunction method) (best.random.best.random.UniformDistribution method) (best.rvm.best.rvm.RelevanceVectorMachine method) __mul__() (best.maps.CovarianceFunction method) __sample__() (best.random.best.random.RandomWalkProposal method) __str__() (best.Object method) (best.rvm.best.rvm.RelevanceVectorMachine method) _d_eval() (best.maps.CovarianceFunction method) (best.maps.CovarianceFunctionBasis method)

_d_hyp_eval() (best.maps.CovarianceFunction method) (best.maps.CovarianceFunctionBasis method) _eval() (best.maps.CovarianceFunction method) (best.maps.CovarianceFunctionBasis method) (best.random.best.random.KarhuneLoeveExpansion method) _ggsvd() (in module best.core) _lhs() (in module best.core) _pdf() (best.random.best.random.KarhuneLoeveExpansion method) (best.random.best.random.RandomVector method) (best.random.best.random.RandomVectorIndependent method) _pstrf() (in module best.core) _rvs() (best.random.best.random.KarhuneLoeveExpansion method) (best.random.best.random.RandomVector method) (best.random.best.random.RandomVectorIndependent method) _to_string() (best.maps.CovarianceFunction method) (best.Object method) (best.maps.CovarianceFunctionBasis method) (best.random.best.random.PosteriorDistribution method)

A

A (best.linalg.GeneralizedSVD attribute) (best.linalg.IncompleteCholesky attribute) acceptance_rate (best.gp.best.gp.MultioutputGaussianProcess attribute) (best.random.best.random.MarkovChainMonteCarlo attribute)

alpha (best.gpc.best.gpc.OrthogonalPolynomial attribute) (best.linalg.GeneralizedSVD attribute)

B

B (best.linalg.GeneralizedSVD attribute) basis (GeneralizedLinearModel attribute) best (module) best.core (module) best.design (module) best.domain (module) best.domain.AllSpace (class in best.domain) best.domain.Domain (class in best.domain) best.domain.Rectangle (class in best.domain) best.domain.UnitCube (class in best.domain) best.gp (module) best.gp.MultioutputGaussianProcess (class in best.gp) best.gpc (module) best.gpc.OrthogonalPolynomial (class in best.gpc) best.gpc.ProductBasis (class in best.gpc) best.linalg.GeneralizedSVD (built-in class) best.linalg.IncompleteCholesky (built-in class) best.linalg.kron_prod() (built-in function) best.linalg.kron_solve() (built-in function) best.linalg.update_cholesky() (built-in function) best.linalg.update_cholesky_linear_system() (built-in function) best.maps (module) best.maps.CovarianceFunction (built-in class) best.maps.CovarianceFunctionBasis (built-in class) best.maps.Function (class in best.maps) best.maps.FunctionScreened (class in best.maps) best.misc (module) best.Object (built-in class)

best.random (module) best.random.ConditionalDistribution (class in best.random) best.random.Distributions (class in best.random) best.random.GaussianLikelihoodFunction (class in best.random) best.random.JointDistribution (class in best.random) best.random.KarhuneLoeveExpansion (class in best.random) best.random.LangevinProposal (class in best.random) best.random.LikelihoodFunction (class in best.random) best.random.LikelihoodFunctionWithGivenMean (class in best.random) best.random.MarkovChain (class in best.random) best.random.MarkovChainMonteCarlo (class in best.random) best.random.MixtureOfDistributions (class in best.random) best.random.NormalDistribution (class in best.random) best.random.PosteriorDistribution (class in best.random) best.random.ProductDistribution (class in best.random) best.random.ProposalDistribution (class in best.random) best.random.RandomVariableConditional (class in best.random) best.random.RandomVector (class in best.random) best.random.RandomVectorIndependent (class in best.random) best.random.RandomWalkProposal (class in best.random) best.random.SequentialMonteCarlo (class in best.random) best.random.StudentTDistribution (class in best.random) best.random.StudentTLikelihoodFunction (class in best.random) best.random.UniformDistribution (class in best.random) best.rvm (module) best.rvm.RelevanceVectorMachine (class in best.rvm) beta (best.gpc.best.gpc.OrthogonalPolynomial attribute) (GeneralizedLinearModel attribute) (best.linalg.GeneralizedSVD attribute)

C

C (best.linalg.GeneralizedSVD attribute) cdf() (best.random.best.random.RandomVariableConditional method) component (best.random.best.random.RandomVectorIndependent attribute) components (best.random.best.random.MixtureOfDistributions attribute)

copy() (best.random.best.random.MarkovChainMonteCarlo method) cov (best.gp.best.gp.MultioutputGaussianProcess attribute) (best.maps.CovarianceFunctionBasis attribute) (best.random.best.random.GaussianLikelihoodFunction attribute) create_from_covariance_matrix() (best.random.best.random.KarhuneLoeveExpansion method) current_state (best.random.best.random.MarkovChainMonteCarlo attribute)

D

d() (best.maps.best.maps.Function method) (GeneralizedLinearModel method) (best.maps.CovarianceFunction method) (best.maps.best.maps.FunctionScreened method) D1 (best.linalg.GeneralizedSVD attribute) D2 (best.linalg.GeneralizedSVD attribute) d_hyp() (best.maps.best.maps.Function method) (best.maps.CovarianceFunction method) (best.maps.best.maps.FunctionScreened method) data (best.random.best.random.LikelihoodFunction attribute) (best.random.best.random.LikelihoodFunctionWithGivenMean attribute)

degree (best.gpc.best.gpc.OrthogonalPolynomial attribute) (best.gpc.best.gpc.ProductBasis attribute) delta (best.gp.best.gp.MultioutputGaussianProcess attribute) dist (best.random.best.random.JointDistribution attribute) domain (best.random.best.random.UniformDistribution attribute) dt (best.random.best.random.ProposalDistribution attribute)

E

evaluate_sparse() (best.gp.best.gp.MultioutputGaussianProcess method)

expect() (best.random.best.random.RandomVector method)

F

f_wrapped (best.maps.best.maps.Function attribute)

G

g (best.gp.best.gp.MultioutputGaussianProcess attribute) gamma (best.gp.best.gp.MultioutputGaussianProcess attribute) (best.gpc.best.gpc.OrthogonalPolynomial attribute) (best.random.best.random.PosteriorDistribution attribute) GeneralizedLinearModel (built-in class)

get_generalized_linear_model() (best.rvm.best.rvm.RelevanceVectorMachine method) get_predictive_covariance() (GeneralizedLinearModel method) get_predictive_variance() (GeneralizedLinearModel method)

H

hyp (best.maps.best.maps.Function attribute) (best.maps.CovarianceFunction attribute) (best.maps.CovarianceFunctionBasis attribute)

I

initialize() (best.gp.best.gp.MultioutputGaussianProcess method) (best.random.best.random.MarkovChainMonteCarlo method) (best.rvm.best.rvm.RelevanceVectorMachine method) initialized (best.random.best.random.MarkovChainMonteCarlo attribute) is_function_wrapper (best.maps.best.maps.Function attribute)

is_in() (best.domain.best.domain.Domain method) is_wrapped (best.maps.CovarianceFunction attribute)

K

k (best.linalg.GeneralizedSVD attribute)

k_wrapped (best.maps.CovarianceFunction attribute)

L

l (best.linalg.GeneralizedSVD attribute) L (best.linalg.IncompleteCholesky attribute) lam (best.random.best.random.KarhuneLoeveExpansion attribute) lhs() (in module best.design) lhs_seed() (in module best.design)

likelihood (best.random.best.random.PosteriorDistribution attribute) log_like (best.gp.best.gp.MultioutputGaussianProcess attribute) log_post_lk (best.gp.best.gp.MultioutputGaussianProcess attribute) logsumexp() (in module best.misc)

M

m (best.linalg.GeneralizedSVD attribute) mean() (best.random.best.random.RandomVector method) mean_function (best.random.best.random.LikelihoodFunctionWithGivenMean attribute)

moment() (best.random.best.random.RandomVector method) (best.random.best.random.RandomVectorIndependent method) multinomial_resample() (in module best.misc)

N

n (best.linalg.GeneralizedSVD attribute) name (best.Object attribute) (best.random.best.random.RandomVector attribute) num_accepted (best.random.best.random.MarkovChainMonteCarlo attribute) num_components (best.random.best.random.MixtureOfDistributions attribute) num_cond (best.random.best.random.ConditionalDistribution attribute) num_data (best.random.best.random.LikelihoodFunctionWithGivenMean attribute) num_dim (best.domain.best.domain.Domain attribute) (best.random.best.random.RandomVector attribute)

num_hyp (best.maps.best.maps.Function attribute) (best.maps.CovarianceFunction attribute) num_input (best.maps.best.maps.Function attribute) (best.maps.CovarianceFunction attribute) num_mcmc (best.gp.best.gp.MultioutputGaussianProcess attribute) num_output (best.maps.best.maps.Function attribute) num_samples (best.random.best.random.MarkovChainMonteCarlo attribute) num_terms (best.gpc.best.gpc.ProductBasis attribute)

O

output_frequency (best.random.best.random.MarkovChainMonteCarlo attribute)

P

p (best.linalg.GeneralizedSVD attribute) P (best.linalg.IncompleteCholesky attribute) pdf() (best.random.best.random.RandomVariableConditional method) (best.random.best.random.RandomVector method) perform_single_mcmc_step() (best.random.best.random.MarkovChainMonteCarlo method) PHI (best.random.best.random.KarhuneLoeveExpansion attribute) piv (best.linalg.IncompleteCholesky attribute) polynomials (best.gpc.best.gpc.ProductBasis attribute)

prior (best.random.best.random.PosteriorDistribution attribute) project() (best.random.best.random.KarhuneLoeveExpansion method) proposal (best.random.best.random.MarkovChainMonteCarlo attribute) proposed_state (best.random.best.random.MarkovChainMonteCarlo attribute) px (best.random.best.random.ProductDistribution attribute) pzcx (best.random.best.random.ProductDistribution attribute)

Q

Q (best.linalg.GeneralizedSVD attribute)

R

r (best.gp.best.gp.MultioutputGaussianProcess attribute) R (best.linalg.GeneralizedSVD attribute) rank (best.linalg.IncompleteCholesky attribute)

rectangle (best.domain.best.domain.Rectangle attribute) reinitialize() (best.random.best.random.MarkovChainMonteCarlo method) rvs() (best.random.best.random.RandomVariableConditional method) (best.random.best.random.RandomVector method)

S

S (best.linalg.GeneralizedSVD attribute) sample() (best.gp.best.gp.MultioutputGaussianProcess method) (best.random.best.random.ConditionalDistribution method) (best.random.best.random.Distributions method) (best.random.best.random.JointDistribution method) (best.random.best.random.MarkovChain method) (best.random.best.random.MarkovChainMonteCarlo method) (best.random.best.random.MixtureOfDistributions method) (best.random.best.random.NormalDistribution method) (best.random.best.random.ProductDistribution method) (best.random.best.random.UniformDistribution method) sample_g (best.gp.best.gp.MultioutputGaussianProcess attribute) sample_prediction() (best.gp.best.gp.MultioutputGaussianProcess method) sample_r (best.gp.best.gp.MultioutputGaussianProcess attribute) sample_surrogate() (best.gp.best.gp.MultioutputGaussianProcess method) samples (best.random.best.random.MarkovChainMonteCarlo attribute) screen() (best.maps.best.maps.Function method) set_data() (best.rvm.best.rvm.RelevanceVectorMachine method) Sigma (best.gp.best.gp.MultioutputGaussianProcess attribute)

sigma (best.random.best.random.KarhuneLoeveExpansion attribute) sigma_g (best.gp.best.gp.MultioutputGaussianProcess attribute) sigma_r (best.gp.best.gp.MultioutputGaussianProcess attribute) sigma_sqrt (GeneralizedLinearModel attribute) split() (best.random.best.random.RandomVariableConditional method) (best.random.best.random.RandomVectorIndependent method) stats() (best.random.best.random.RandomVector method) std() (best.random.best.random.RandomVector method) store_samples (best.random.best.random.MarkovChainMonteCarlo attribute) support (best.random.best.random.RandomVector attribute)

T

target (best.random.best.random.MarkovChainMonteCarlo attribute) terms (best.gpc.best.gpc.ProductBasis attribute)

to_basis() (best.maps.CovarianceFunction method) train() (best.rvm.best.rvm.RelevanceVectorMachine method)

U

U (best.linalg.GeneralizedSVD attribute) (best.linalg.IncompleteCholesky attribute)

V

V (best.linalg.GeneralizedSVD attribute) var() (best.random.best.random.RandomVector method)

verbose (best.random.best.random.MarkovChainMonteCarlo attribute)

W

weights (best.random.best.random.MixtureOfDistributions attribute) (GeneralizedLinearModel attribute)

X

X (best.maps.CovarianceFunctionBasis attribute)