Index

_

__init__() (apprentice.function.Function method) (apprentice.gaussianprocess.GaussianProcess method) (apprentice.generatortuning.GeneratorTuning method) (apprentice.leastsquares.LeastSquares method) (apprentice.minimizer.Minimizer method) (apprentice.polynomialapproximation.PolynomialApproximation method) (apprentice.rationalapproximation.RationalApproximation method) (apprentice.scipyminimizer.ScipyMinimizer method) (apprentice.space.Space method) (apprentice.surrogatemodel.SurrogateModel method)

A

apprentice.monomial module as_dict (apprentice.gaussianprocess.GaussianProcess property) (apprentice.polynomialapproximation.PolynomialApproximation property) (apprentice.rationalapproximation.RationalApproximation property) (apprentice.space.Space property)

B

bounds (apprentice.function.Function property) (apprentice.surrogatemodel.SurrogateModel property) box (apprentice.space.Space property)

box_scaled (apprentice.space.Space property) build_GP_model_from_data() (apprentice.gaussianprocess.GaussianProcess method) build_MLHGP_model_from_data() (apprentice.gaussianprocess.GaussianProcess method) build_SK_model_from_data() (apprentice.gaussianprocess.GaussianProcess method)

C

calcSpans() (apprentice.util.Util static method) center (apprentice.space.Space property) center_scaled (apprentice.space.Space property) coeff2_norm (apprentice.polynomialapproximation.PolynomialApproximation property) (apprentice.rationalapproximation.RationalApproximation property) coeff_denominator (apprentice.rationalapproximation.RationalApproximation property) coeff_norm (apprentice.polynomialapproximation.PolynomialApproximation property) (apprentice.rationalapproximation.RationalApproximation property)

coeff_numerator (apprentice.polynomialapproximation.PolynomialApproximation property) (apprentice.rationalapproximation.RationalApproximation property) coeff_solve() (apprentice.polynomialapproximation.PolynomialApproximation method) (apprentice.rationalapproximation.RationalApproximation method) coeff_solve2() (apprentice.polynomialapproximation.PolynomialApproximation method) (apprentice.rationalapproximation.RationalApproximation method) coeff_solve3() (apprentice.rationalapproximation.RationalApproximation method)

D

debug (apprentice.gaussianprocess.GaussianProcess property) (apprentice.rationalapproximation.RationalApproximation property) denom() (apprentice.rationalapproximation.RationalApproximation method) dim (apprentice.function.Function property) (apprentice.gaussianprocess.GaussianProcess property) (apprentice.polynomialapproximation.PolynomialApproximation property) (apprentice.rationalapproximation.RationalApproximation property) (apprentice.space.Space property) (apprentice.surrogatemodel.SurrogateModel property)

doubleprime() (apprentice.util.Util static method)

E

error_surrogate_model (apprentice.gaussianprocess.GaussianProcess property)

F

f_X() (apprentice.gaussianprocess.GaussianProcess method) f_x() (apprentice.gaussianprocess.GaussianProcess method) f_X() (apprentice.polynomialapproximation.PolynomialApproximation method) f_x() (apprentice.polynomialapproximation.PolynomialApproximation method) f_X() (apprentice.rationalapproximation.RationalApproximation method) f_x() (apprentice.rationalapproximation.RationalApproximation method) f_X() (apprentice.surrogatemodel.SurrogateModel method) f_x() (apprentice.surrogatemodel.SurrogateModel method) f_x_slow() (apprentice.polynomialapproximation.PolynomialApproximation method) fit() (apprentice.gaussianprocess.GaussianProcess method) (apprentice.polynomialapproximation.PolynomialApproximation method) (apprentice.rationalapproximation.RationalApproximation method) (apprentice.surrogatemodel.SurrogateModel method) fit_order_denominator_one() (apprentice.rationalapproximation.RationalApproximation method) fit_sip() (apprentice.rationalapproximation.RationalApproximation method) fit_solver (apprentice.rationalapproximation.RationalApproximation property) fit_strategy (apprentice.gaussianprocess.GaussianProcess property) (apprentice.polynomialapproximation.PolynomialApproximation property) (apprentice.rationalapproximation.RationalApproximation property)

fnspace (apprentice.surrogatemodel.SurrogateModel property) from_data_structure() (apprentice.gaussianprocess.GaussianProcess class method) (apprentice.polynomialapproximation.PolynomialApproximation class method) (apprentice.rationalapproximation.RationalApproximation class method) (apprentice.surrogatemodel.SurrogateModel class method) from_file() (apprentice.gaussianprocess.GaussianProcess class method) (apprentice.polynomialapproximation.PolynomialApproximation class method) (apprentice.rationalapproximation.RationalApproximation class method) (apprentice.surrogatemodel.SurrogateModel class method) from_interpolation_points() (apprentice.surrogatemodel.SurrogateModel class method) from_space() (apprentice.function.Function class method) from_surrogates() (apprentice.function.Function class method) fromList() (apprentice.space.Space class method) ftol (apprentice.rationalapproximation.RationalApproximation property) Function (class in apprentice.function) function_space (apprentice.surrogatemodel.SurrogateModel property)

G

GaussianProcess (class in apprentice.gaussianprocess) GeneratorTuning (class in apprentice.generatortuning) genStruct() (in module apprentice.monomial) get_kernel() (apprentice.gaussianprocess.GaussianProcess static method)

get_metrics() (apprentice.gaussianprocess.GaussianProcess static method) gradient() (apprentice.leastsquares.LeastSquares method) (apprentice.polynomialapproximation.PolynomialApproximation method) (apprentice.rationalapproximation.RationalApproximation method) gradient_recurrence() (apprentice.util.Util static method)

H

has_gradient (apprentice.function.Function property) (apprentice.surrogatemodel.SurrogateModel property) has_hessian (apprentice.function.Function property) (apprentice.surrogatemodel.SurrogateModel property)

hessian() (apprentice.leastsquares.LeastSquares method) (apprentice.polynomialapproximation.PolynomialApproximation method) hreduction() (apprentice.util.Util static method)

I

inherits_from() (apprentice.util.Util static method)

initWeights() (apprentice.generatortuning.GeneratorTuning method) iterations (apprentice.rationalapproximation.RationalApproximation property)

J

jacfac (apprentice.space.Space property)

K

keepout_percentage (apprentice.gaussianprocess.GaussianProcess property)

kernel (apprentice.gaussianprocess.GaussianProcess property)

L

LeastSquares (class in apprentice.leastsquares)

local_solver (apprentice.rationalapproximation.RationalApproximation property)

M

M (apprentice.rationalapproximation.RationalApproximation property) max_restarts (apprentice.gaussianprocess.GaussianProcess property) (apprentice.rationalapproximation.RationalApproximation property) mean_surrogate_model (apprentice.gaussianprocess.GaussianProcess property) minimiseLBFGSB() (apprentice.scipyminimizer.ScipyMinimizer method) minimiseSLSQP() (apprentice.scipyminimizer.ScipyMinimizer method) minimiseTNC() (apprentice.scipyminimizer.ScipyMinimizer method) minimize() (apprentice.minimizer.Minimizer method) (apprentice.scipyminimizer.ScipyMinimizer method)

minimizeNCG() (apprentice.scipyminimizer.ScipyMinimizer method) Minimizer (class in apprentice.minimizer) mk_empty() (apprentice.function.Function class method) mkReduced() (apprentice.generatortuning.GeneratorTuning method) mkSubSpace() (apprentice.space.Space method) module apprentice.monomial mono_next_grlex() (in module apprentice.monomial) monomialStructure() (in module apprentice.monomial) mpi_tune() (apprentice.gaussianprocess.GaussianProcess static method)

N

N (apprentice.rationalapproximation.RationalApproximation property) num_coeffs_poly() (apprentice.util.Util static method)

num_coeffs_rapp() (apprentice.util.Util static method) num_coeffs_to_order() (apprentice.util.Util static method)

O

objective() (apprentice.function.Function method) (apprentice.leastsquares.LeastSquares method)

order_denominator (apprentice.rationalapproximation.RationalApproximation property) order_numerator (apprentice.polynomialapproximation.PolynomialApproximation property) (apprentice.rationalapproximation.RationalApproximation property)

P

P() (apprentice.rationalapproximation.RationalApproximation method) pnames (apprentice.gaussianprocess.GaussianProcess property) (apprentice.polynomialapproximation.PolynomialApproximation property) (apprentice.rationalapproximation.RationalApproximation property) (apprentice.space.Space property) polynomial_order (apprentice.gaussianprocess.GaussianProcess property)

PolynomialApproximation (class in apprentice.polynomialapproximation) predict() (apprentice.rationalapproximation.RationalApproximation method) predict_heteroscedastic() (apprentice.gaussianprocess.GaussianProcess method) predict_homoscedastic() (apprentice.gaussianprocess.GaussianProcess method) predict_static_heteroscedastic() (apprentice.gaussianprocess.GaussianProcess static method) predict_static_homoscedastic() (apprentice.gaussianprocess.GaussianProcess static method) prime() (apprentice.util.Util static method)

Q

Q() (apprentice.rationalapproximation.RationalApproximation method)

R

RationalApproximation (class in apprentice.rationalapproximation) recurrence() (in module apprentice.monomial)

recurrence1D() (in module apprentice.monomial) recurrence2() (in module apprentice.monomial)

S

sample() (apprentice.minimizer.Minimizer method) (apprentice.space.Space method) sample_main() (apprentice.space.Space static method) sample_scaled() (apprentice.space.Space method) sample_size (apprentice.gaussianprocess.GaussianProcess property) save() (apprentice.gaussianprocess.GaussianProcess method) (apprentice.polynomialapproximation.PolynomialApproximation method) (apprentice.rationalapproximation.RationalApproximation method) scale() (apprentice.space.Space method) ScipyMinimizer (class in apprentice.scipyminimizer)

seed (apprentice.gaussianprocess.GaussianProcess property) set_bounds() (apprentice.function.Function method) (apprentice.minimizer.Minimizer method) set_fixed_parameters() (apprentice.function.Function method) set_structures() (apprentice.polynomialapproximation.PolynomialApproximation method) (apprentice.rationalapproximation.RationalApproximation method) setWeights() (apprentice.generatortuning.GeneratorTuning method) Space (class in apprentice.space) stopping_bound (apprentice.gaussianprocess.GaussianProcess property) SurrogateModel (class in apprentice.surrogatemodel)

T

threshold (apprentice.rationalapproximation.RationalApproximation property) tmpdir (apprentice.rationalapproximation.RationalApproximation property)

to_compute_covariance (apprentice.polynomialapproximation.PolynomialApproximation property) training_size (apprentice.surrogatemodel.SurrogateModel property)

U

unscale() (apprentice.space.Space method) use_abstract_model (apprentice.rationalapproximation.RationalApproximation property)

use_mpi_tune (apprentice.gaussianprocess.GaussianProcess property) Util (class in apprentice.util)

V

vandermonde() (in module apprentice.monomial)