mfpml
Overview:
Summary
Get started:
Installation
Design of experiments:
Single-Fidelity Samplers
Multi-Fidelity Samplers
Summary
Problems:
Problems class structure
Single fidelity problems
Multi fidelity problems
Surrogates:
Single fidelity surrogates
Multi fidelity surrogates
Optimization:
Evolutionary algorithms
Single-fidelity Bayesian optimization
Multi-fidelity Bayesian optimization
API Reference:
API Documentation
mfpml
Index
Index
_
|
A
|
B
|
C
|
D
|
E
|
F
|
G
|
H
|
I
|
K
|
L
|
M
|
N
|
O
|
P
|
Q
|
R
|
S
|
T
|
U
|
V
|
Y
_
__init__() (Ackley method)
(AugmentedEI method)
(Branin method)
(CoKriging method)
(ExtendedPI method)
(FixNumberSampler method)
(FunctionWrapper method)
(GaussianProcessRegression method)
(GoldPrice method)
(Hartman3 method)
(Hartman6 method)
(LatinHyperCube method)
(LCB method)
(mf_Hartman6 method)
(mf_Sixhump method)
(MFLatinHyperCube method)
(MFSobolSequence method)
(mfUnConsBayesOpt method)
(MultiFidelitySampler method)
(PI method)
(PSO method)
(RandomSampler method)
(RBF method)
(Sasena method)
(ScaledKriging method)
(SingleFidelitySampler method)
(Sixhump method)
(SobolSequence method)
(Thevenot method)
(VFEI method)
(VFLCB method)
__print_info() (BayesUnConsOpt method)
__update_error() (BayesUnConsOpt method)
(mfUnConsBayesOpt method)
__update_gen_optimum() (DE method)
(PSO method)
__update_obj() (DE method)
(PSO method)
__update_parameters() (Ackley method)
(Thevenot method)
__update_pop() (DE method)
(PSO method)
__update_pop_optimum() (PSO method)
__velocity_cons() (PSO method)
__velocity_initialzer() (PSO method)
_abc_impl (Ackley attribute)
(AckleyN2 attribute)
(AugmentedEI attribute)
(BayesUnConsOpt attribute)
(Branin attribute)
(ContinuousNonlinearCorrelation1D attribute)
(EI attribute)
(ExtendedPI attribute)
(FixNumberSampler attribute)
(Forrester attribute)
(Forrester_1a attribute)
(Forrester_1b attribute)
(Forrester_1c attribute)
(Functions attribute)
(GoldPrice attribute)
(Hartman3 attribute)
(Hartman6 attribute)
(LatinHyperCube attribute)
(LCB attribute)
(mf_Bohachevsky attribute)
(mf_Booth attribute)
(mf_Borehole attribute)
(mf_CurrinExp attribute)
(mf_Discontinuous attribute)
(mf_Hartman3 attribute)
(mf_Hartman6 attribute)
(mf_Himmelblau attribute)
(mf_Park91A attribute)
(mf_Park91B attribute)
(mf_Sixhump attribute)
(MFUnConsAcq attribute)
(MultiFidelityFunctions attribute)
(PhaseShiftedOscillations attribute)
(PI attribute)
(RandomSampler attribute)
(Sasena attribute)
(SFUnConsAcq attribute)
(SingleFidelitySampler attribute)
(Sixhump attribute)
(SobolSequence attribute)
(Thevenot attribute)
(VFEI attribute)
(VFLCB attribute)
_de_initializer() (DE method)
_effective_best() (AugmentedEI static method)
_eval_bumpiness() (ScaledKriging method)
_eval_corr() (_mfGaussianProcess method)
_eval_error() (ScaledKriging method)
_gen_best_obj() (EABase method)
_gen_best_x() (EABase method)
_get_bounds (KernelCore property)
_get_bounds_list (KernelCore property)
_get_dimension (Functions property)
_get_high_bound (KernelCore property)
_get_lf_model (CoKriging property)
_get_lfGP (_mfGaussianProcess property)
_get_low_bound (KernelCore property)
_get_low_fidelity (Functions property)
_get_nested_samples() (MFLatinHyperCube method)
(MFSobolSequence method)
_get_non_nested_samples() (MFLatinHyperCube method)
(MFSobolSequence method)
_get_num_para (KernelCore property)
_get_param (KernelCore property)
_get_sample_hf (_mfGaussianProcess property)
(CoKriging property)
_get_sample_lf (_mfGaussianProcess property)
(CoKriging property)
_getDisc() (ScaledKriging method)
_GP (class in mfpml.models.co_kriging)
_hyper_paras_optimization() (_GP method)
(GaussianProcessRegression method)
_initialization() (BayesUnConsOpt method)
(mfUnConsBayesOpt method)
_input_domain (Functions property)
_loc_cons() (EABase method)
_location_initialzer() (EABase method)
_logLikelihood() (_GP method)
(CoKriging method)
(GaussianProcessRegression method)
(HierarchicalKriging method)
_mf_samples_rules() (MultiFidelitySampler method)
_mfGaussianProcess (class in mfpml.models.mf_gaussian_process)
_num_samples (_GP property)
(GaussianProcessRegression property)
_num_xh (_mfGaussianProcess property)
(CoKriging property)
_num_xl (_mfGaussianProcess property)
(CoKriging property)
_optHyp() (CoKriging method)
(HierarchicalKriging method)
_optimum (Functions property)
_optimum_variable (Functions property)
_print_info() (mfUnConsBayesOpt method)
_pso_initializer() (PSO method)
_rho_optimize() (ScaledKriging method)
_save_results() (EABase method)
_train_hf() (_mfGaussianProcess method)
(HierarchicalKriging method)
(ScaledKriging method)
_train_lf() (_mfGaussianProcess method)
_update_kernel_matrix() (_GP method)
(GaussianProcessRegression method)
_update_optimizer_hf() (CoKriging method)
_update_optimizer_lf() (CoKriging method)
_update_para() (BayesUnConsOpt method)
(mfUnConsBayesOpt method)
_update_parameters() (CoKriging method)
(HierarchicalKriging method)
A
Ackley (class in mfpml.problems.sf_functions)
AckleyN2 (class in mfpml.problems.sf_functions)
AugmentedEI (class in mfpml.optimization.mf_acqusitions)
B
base() (mf_Borehole static method)
BayesUnConsOpt (class in mfpml.optimization.sf_uncons_bo)
Branin (class in mfpml.problems.sf_functions)
C
change_optimizer() (GaussianProcessRegression method)
CoKriging (class in mfpml.models.co_kriging)
ContinuousNonlinearCorrelation1D (class in mfpml.problems.mf_functions)
corr() (AugmentedEI static method)
(ExtendedPI static method)
cost_ratio (Forrester attribute)
(Forrester_1a attribute)
(Forrester_1b attribute)
(Forrester_1c attribute)
D
DE (class in mfpml.optimization.evolutionary_algorithms)
design_space (ContinuousNonlinearCorrelation1D attribute)
(mf_Bohachevsky attribute)
(mf_Booth attribute)
(mf_Borehole attribute)
(mf_CurrinExp attribute)
(mf_Discontinuous attribute)
(mf_Hartman3 attribute)
(mf_Hartman6 attribute)
(mf_Himmelblau attribute)
(mf_Park91A attribute)
(mf_Park91B attribute)
(mf_Sixhump attribute)
(PhaseShiftedOscillations attribute)
E
EABase (class in mfpml.optimization.evolutionary_algorithms)
EI (class in mfpml.optimization.sf_uncons_acqusitions)
eval() (AugmentedEI method)
(EI method)
(ExtendedPI method)
(LCB method)
(MFUnConsAcq method)
(PI method)
(SFUnConsAcq method)
(VFEI method)
(VFLCB method)
ExtendedPI (class in mfpml.optimization.mf_acqusitions)
F
f() (Ackley method)
(AckleyN2 static method)
(Branin static method)
(Forrester static method)
(Functions static method)
(GoldPrice static method)
(Hartman3 static method)
(Hartman6 static method)
(Sasena static method)
(Sixhump static method)
(Thevenot method)
f_cons() (Functions static method)
f_der() (Functions static method)
FixNumberSampler (class in mfpml.design_of_experiment.sf_samplers)
Forrester (class in mfpml.problems.sf_functions)
Forrester_1a (class in mfpml.problems.mf_functions)
Forrester_1b (class in mfpml.problems.mf_functions)
Forrester_1c (class in mfpml.problems.mf_functions)
Functions (class in mfpml.problems.functions)
FunctionWrapper (class in mfpml.problems.functions)
G
GaussianProcessRegression (class in mfpml.models.gaussian_process)
get_kernel_matrix() (RBF method)
get_param() (Ackley method)
get_samples() (FixNumberSampler method)
(LatinHyperCube method)
(MultiFidelitySampler method)
(RandomSampler method)
(SingleFidelitySampler method)
(SobolSequence method)
GoldPrice (class in mfpml.problems.sf_functions)
H
Hartman3 (class in mfpml.problems.sf_functions)
Hartman6 (class in mfpml.problems.sf_functions)
hf() (ContinuousNonlinearCorrelation1D static method)
(Forrester_1a static method)
(Forrester_1b static method)
(Forrester_1c static method)
(Functions static method)
(mf_Bohachevsky static method)
(mf_Booth static method)
(mf_Borehole static method)
(mf_CurrinExp static method)
(mf_Discontinuous static method)
(mf_Hartman3 static method)
(mf_Hartman6 static method)
(mf_Himmelblau static method)
(mf_Park91A static method)
(mf_Park91B static method)
(mf_Sixhump static method)
(PhaseShiftedOscillations static method)
hf_cons() (Functions static method)
hf_der() (Functions static method)
HierarchicalKriging (class in mfpml.models.hierarchical_kriging)
hyperparameters (KernelCore property)
I
input_domain (Ackley attribute)
(AckleyN2 attribute)
(Branin attribute)
(ContinuousNonlinearCorrelation1D attribute)
(Forrester attribute)
(Forrester_1a attribute)
(Forrester_1b attribute)
(Forrester_1c attribute)
(Functions attribute)
(GoldPrice attribute)
(Hartman3 attribute)
(Hartman6 attribute)
(mf_Bohachevsky attribute)
(mf_Booth attribute)
(mf_Borehole attribute)
(mf_CurrinExp attribute)
(mf_Discontinuous attribute)
(mf_Hartman3 attribute)
(mf_Hartman6 attribute)
(mf_Himmelblau attribute)
(mf_Park91A attribute)
(mf_Park91B attribute)
(mf_Sixhump attribute)
(PhaseShiftedOscillations attribute)
(Sasena attribute)
(Sixhump attribute)
(Thevenot attribute)
is_dim_compatible() (Ackley class method)
(AckleyN2 class method)
(Branin class method)
(Forrester class method)
(GoldPrice class method)
(Hartman3 class method)
(Hartman6 class method)
(MultiFidelityFunctions class method)
(Sasena class method)
(Sixhump class method)
(Thevenot class method)
K
KernelCore (class in mfpml.models.kernels)
kronDelta() (in module mfpml.models.kernels)
L
LatinHyperCube (class in mfpml.design_of_experiment.sf_samplers)
lb (SingleFidelitySampler property)
lb() (MultiFidelitySampler method)
LCB (class in mfpml.optimization.sf_uncons_acqusitions)
lf() (ContinuousNonlinearCorrelation1D static method)
(Forrester_1a static method)
(Forrester_1b static method)
(Forrester_1c static method)
(Functions static method)
(mf_Bohachevsky static method)
(mf_Booth static method)
(mf_Borehole static method)
(mf_CurrinExp static method)
(mf_Discontinuous static method)
(mf_Hartman3 static method)
(mf_Hartman6 static method)
(mf_Himmelblau static method)
(mf_Park91A static method)
(mf_Park91B static method)
(mf_Sixhump static method)
(PhaseShiftedOscillations static method)
lf_cons() (Functions static method)
lf_der() (Functions static method)
low_fidelity (Ackley attribute)
(AckleyN2 attribute)
(Branin attribute)
(ContinuousNonlinearCorrelation1D attribute)
(Forrester attribute)
(Forrester_1a attribute)
(Forrester_1b attribute)
(Forrester_1c attribute)
(Functions attribute)
(GoldPrice attribute)
(Hartman3 attribute)
(Hartman6 attribute)
(mf_Bohachevsky attribute)
(mf_Booth attribute)
(mf_Borehole attribute)
(mf_CurrinExp attribute)
(mf_Discontinuous attribute)
(mf_Hartman3 attribute)
(mf_Hartman6 attribute)
(mf_Himmelblau attribute)
(mf_Park91A attribute)
(mf_Park91B attribute)
(mf_Sixhump attribute)
(PhaseShiftedOscillations attribute)
(Sasena attribute)
(Sixhump attribute)
(Thevenot attribute)
M
mf_Bohachevsky (class in mfpml.problems.mf_functions)
mf_Booth (class in mfpml.problems.mf_functions)
mf_Borehole (class in mfpml.problems.mf_functions)
mf_CurrinExp (class in mfpml.problems.mf_functions)
mf_Discontinuous (class in mfpml.problems.mf_functions)
mf_Hartman3 (class in mfpml.problems.mf_functions)
mf_Hartman6 (class in mfpml.problems.mf_functions)
mf_Himmelblau (class in mfpml.problems.mf_functions)
mf_Park91A (class in mfpml.problems.mf_functions)
mf_Park91B (class in mfpml.problems.mf_functions)
mf_Sixhump (class in mfpml.problems.mf_functions)
MFLatinHyperCube (class in mfpml.design_of_experiment.mf_samplers)
mfpml.design_of_experiment.mf_samplers
module
mfpml.design_of_experiment.sf_samplers
module
mfpml.models.co_kriging
module
mfpml.models.gaussian_process
module
mfpml.models.hierarchical_kriging
module
mfpml.models.kernels
module
mfpml.models.mf_gaussian_process
module
mfpml.models.scale_kriging
module
mfpml.optimization.evolutionary_algorithms
module
mfpml.optimization.mf_acqusitions
module
mfpml.optimization.mf_uncons_bo
module
mfpml.optimization.sf_uncons_acqusitions
module
mfpml.optimization.sf_uncons_bo
module
mfpml.problems.functions
module
mfpml.problems.mf_functions
module
mfpml.problems.sf_functions
module
MFSobolSequence (class in mfpml.design_of_experiment.mf_samplers)
MFUnConsAcq (class in mfpml.optimization.mf_acqusitions)
mfUnConsBayesOpt (class in mfpml.optimization.mf_uncons_bo)
module
mfpml.design_of_experiment.mf_samplers
mfpml.design_of_experiment.sf_samplers
mfpml.models.co_kriging
mfpml.models.gaussian_process
mfpml.models.hierarchical_kriging
mfpml.models.kernels
mfpml.models.mf_gaussian_process
mfpml.models.scale_kriging
mfpml.optimization.evolutionary_algorithms
mfpml.optimization.mf_acqusitions
mfpml.optimization.mf_uncons_bo
mfpml.optimization.sf_uncons_acqusitions
mfpml.optimization.sf_uncons_bo
mfpml.problems.functions
mfpml.problems.mf_functions
mfpml.problems.sf_functions
MultiFidelityFunctions (class in mfpml.problems.mf_functions)
MultiFidelitySampler (class in mfpml.design_of_experiment.mf_samplers)
N
normalize_hf_output() (_mfGaussianProcess method)
(CoKriging method)
normalize_input() (_mfGaussianProcess method)
(CoKriging method)
(GaussianProcessRegression static method)
normalize_output() (GaussianProcessRegression static method)
num_cons (Ackley attribute)
(AckleyN2 attribute)
(Branin attribute)
(ContinuousNonlinearCorrelation1D attribute)
(Forrester attribute)
(Forrester_1a attribute)
(Forrester_1b attribute)
(Forrester_1c attribute)
(Functions attribute)
(GoldPrice attribute)
(Hartman3 attribute)
(Hartman6 attribute)
(mf_Bohachevsky attribute)
(mf_Booth attribute)
(mf_Borehole attribute)
(mf_CurrinExp attribute)
(mf_Discontinuous attribute)
(mf_Hartman3 attribute)
(mf_Hartman6 attribute)
(mf_Himmelblau attribute)
(mf_Park91A attribute)
(mf_Park91B attribute)
(mf_Sixhump attribute)
(PhaseShiftedOscillations attribute)
(Sasena attribute)
(Sixhump attribute)
(Thevenot attribute)
num_dim (Ackley attribute)
(AckleyN2 attribute)
(Branin attribute)
(ContinuousNonlinearCorrelation1D attribute)
(Forrester attribute)
(Forrester_1a attribute)
(Forrester_1b attribute)
(Forrester_1c attribute)
(Functions attribute)
(GoldPrice attribute)
(Hartman3 attribute)
(Hartman6 attribute)
(mf_Bohachevsky attribute)
(mf_Booth attribute)
(mf_Borehole attribute)
(mf_CurrinExp attribute)
(mf_Discontinuous attribute)
(mf_Hartman3 attribute)
(mf_Hartman6 attribute)
(mf_Himmelblau attribute)
(mf_Park91A attribute)
(mf_Park91B attribute)
(mf_Sixhump attribute)
(PhaseShiftedOscillations attribute)
(Sasena attribute)
(Sixhump attribute)
(Thevenot attribute)
num_obj (Ackley attribute)
(AckleyN2 attribute)
(Branin attribute)
(ContinuousNonlinearCorrelation1D attribute)
(Forrester attribute)
(Forrester_1a attribute)
(Forrester_1b attribute)
(Forrester_1c attribute)
(GoldPrice attribute)
(Hartman3 attribute)
(Hartman6 attribute)
(mf_Bohachevsky attribute)
(mf_Booth attribute)
(mf_Borehole attribute)
(mf_CurrinExp attribute)
(mf_Discontinuous attribute)
(mf_Hartman3 attribute)
(mf_Hartman6 attribute)
(mf_Himmelblau attribute)
(mf_Park91A attribute)
(mf_Park91B attribute)
(mf_Sixhump attribute)
(PhaseShiftedOscillations attribute)
(Sasena attribute)
(Sixhump attribute)
(Thevenot attribute)
O
optimum (Ackley attribute)
(AckleyN2 attribute)
(Branin attribute)
(ContinuousNonlinearCorrelation1D attribute)
(Forrester attribute)
(Forrester_1a attribute)
(Forrester_1b attribute)
(Forrester_1c attribute)
(Functions attribute)
(GoldPrice attribute)
(Hartman3 attribute)
(Hartman6 attribute)
(mf_Bohachevsky attribute)
(mf_Booth attribute)
(mf_Borehole attribute)
(mf_CurrinExp attribute)
(mf_Discontinuous attribute)
(mf_Hartman3 attribute)
(mf_Hartman6 attribute)
(mf_Himmelblau attribute)
(mf_Park91A attribute)
(mf_Park91B attribute)
(mf_Sixhump attribute)
(PhaseShiftedOscillations attribute)
(Sasena attribute)
(Sixhump attribute)
(Thevenot attribute)
optimum_scheme (Ackley attribute)
(AckleyN2 attribute)
(Branin attribute)
(ContinuousNonlinearCorrelation1D attribute)
(Forrester attribute)
(Forrester_1a attribute)
(Forrester_1b attribute)
(Forrester_1c attribute)
(Functions attribute)
(GoldPrice attribute)
(Hartman3 attribute)
(Hartman6 attribute)
(mf_Bohachevsky attribute)
(mf_Booth attribute)
(mf_Borehole attribute)
(mf_CurrinExp attribute)
(mf_Discontinuous attribute)
(mf_Hartman3 attribute)
(mf_Hartman6 attribute)
(mf_Himmelblau attribute)
(mf_Park91A attribute)
(mf_Park91B attribute)
(mf_Sixhump attribute)
(PhaseShiftedOscillations attribute)
(Sasena attribute)
(Sixhump attribute)
(Thevenot attribute)
P
PhaseShiftedOscillations (class in mfpml.problems.mf_functions)
PI (class in mfpml.optimization.sf_uncons_acqusitions)
plot_optimization_history() (EABase method)
predict() (_GP method)
(_mfGaussianProcess method)
(CoKriging method)
(GaussianProcessRegression method)
(HierarchicalKriging method)
(ScaledKriging method)
predict_lf() (_mfGaussianProcess method)
(CoKriging method)
print_info() (EABase method)
PSO (class in mfpml.optimization.evolutionary_algorithms)
Q
query() (AugmentedEI method)
(ExtendedPI method)
(MFUnConsAcq method)
(SFUnConsAcq method)
(VFEI method)
(VFLCB method)
R
RandomSampler (class in mfpml.design_of_experiment.sf_samplers)
RBF (class in mfpml.models.kernels)
run_optimizer() (BayesUnConsOpt method)
(DE method)
(EABase method)
(mfUnConsBayesOpt method)
(PSO method)
S
Sasena (class in mfpml.problems.sf_functions)
save_data() (MultiFidelitySampler method)
(SingleFidelitySampler method)
scale_samples() (SingleFidelitySampler method)
ScaledKriging (class in mfpml.models.scale_kriging)
set_params() (RBF method)
SFUnConsAcq (class in mfpml.optimization.sf_uncons_acqusitions)
SingleFidelitySampler (class in mfpml.design_of_experiment.sf_samplers)
Sixhump (class in mfpml.problems.sf_functions)
SobolSequence (class in mfpml.design_of_experiment.sf_samplers)
T
Thevenot (class in mfpml.problems.sf_functions)
train() (_GP method)
(_mfGaussianProcess method)
(CoKriging method)
(GaussianProcessRegression method)
transfer_design_space_list() (MultiFidelitySampler method)
U
ub (SingleFidelitySampler property)
ub() (MultiFidelitySampler method)
update_model() (_GP method)
update_optimizer() (_GP method)
V
VFEI (class in mfpml.optimization.mf_acqusitions)
VFLCB (class in mfpml.optimization.mf_acqusitions)
Y
y_mean (GaussianProcessRegression property)
y_std (GaussianProcessRegression property)