Index

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__init__() (bayex.domain.Domain method) (bayex.domain.Integer method) (bayex.domain.Real method) (bayex.gp.GPParams method) (bayex.gp.GPState method) (bayex.optimizer.Optimizer method)

A

amplitude (bayex.gp.GPParams attribute)

B

bayex module

C

count() (bayex.gp.GPParams method) (bayex.gp.GPState method)

D

Domain (class in bayex.domain)

E

expand() (bayex.Optimizer method) (bayex.optimizer.Optimizer method)

expected_improvement() (in module bayex.acq)

F

fit() (bayex.Optimizer method) (bayex.optimizer.Optimizer method)

G

gaussian_process() (in module bayex.gp) GPParams (class in bayex.gp)

GPState (class in bayex.gp) grad_fun() (in module bayex.gp)

I

index() (bayex.gp.GPParams method) (bayex.gp.GPState method)

init() (bayex.Optimizer method) (bayex.optimizer.Optimizer method) Integer (class in bayex.domain)

L

lengthscale (bayex.gp.GPParams attribute)

lower_confidence_bounds() (in module bayex.acq)

M

marginal_likelihood() (in module bayex.gp) module bayex

momentums (bayex.gp.GPState attribute)

N

noise (bayex.gp.GPParams attribute)

O

Optimizer (class in bayex) (class in bayex.optimizer)

P

params (bayex.gp.GPState attribute) posterior_fit() (in module bayex.gp)

predict() (in module bayex.gp) probability_improvement() (in module bayex.acq)

R

Real (class in bayex.domain)

S

sample() (bayex.domain.Domain method) (bayex.domain.Integer method) (bayex.domain.Real method) (bayex.Optimizer method) (bayex.optimizer.Optimizer method)

scales (bayex.gp.GPState attribute)

T

transform() (bayex.domain.Domain method) (bayex.domain.Integer method) (bayex.domain.Real method)

U

upper_confidence_bounds() (in module bayex.acq)