Index

A

augmented_covariance() (beebo.utils.cholesky_inference.GPPosteriorPredictor method)

AugmentedPosteriorMethod (class in beebo.acquisition)

B

BatchedEnergyEntropyBO (class in beebo.acquisition) beebo module beebo.acquisition module

beebo.utils module beebo.utils.cholesky_inference module

C

CHOLESKY (beebo.acquisition.AugmentedPosteriorMethod attribute) (beebo.acquisition.LogDetMethod attribute)

compute_energy() (beebo.acquisition.BatchedEnergyEntropyBO method) compute_entropy() (beebo.acquisition.BatchedEnergyEntropyBO method)

E

EnergyFunction (class in beebo.acquisition)

F

forward() (beebo.acquisition.BatchedEnergyEntropyBO method) (beebo.utils.cholesky_inference.GPPosteriorPredictor method)

G

GET_FANTASY_MODEL (beebo.acquisition.AugmentedPosteriorMethod attribute)

GPPosteriorPredictor (class in beebo.utils.cholesky_inference)

L

LogDetMethod (class in beebo.acquisition)

M

module beebo beebo.acquisition beebo.utils beebo.utils.cholesky_inference

N

NAIVE (beebo.acquisition.AugmentedPosteriorMethod attribute)

P

predict_covar() (beebo.utils.cholesky_inference.GPPosteriorPredictor method)

predict_mean() (beebo.utils.cholesky_inference.GPPosteriorPredictor method)

S

set_X_pending() (beebo.acquisition.BatchedEnergyEntropyBO method) SOFTMAX (beebo.acquisition.EnergyFunction attribute) softmax_expectation() (in module beebo.acquisition)

softmax_expectation_a_is_mean() (in module beebo.acquisition) stable_softmax() (in module beebo.acquisition) SUM (beebo.acquisition.EnergyFunction attribute) SVD (beebo.acquisition.LogDetMethod attribute)

T

TORCH (beebo.acquisition.LogDetMethod attribute)

U

update_chol() (beebo.utils.cholesky_inference.GPPosteriorPredictor static method)

update_covar_one_point() (in module beebo.utils.cholesky_inference)