Index

A

add_par() (optimize.parameters.Parameters method) add_prior() (optimize.parameters.BayesianParameter method)

all_in_bounds (optimize.parameters.BoundedParameters property) any_out_of_bounds (optimize.parameters.BoundedParameters property)

B

BayesianParameter (class in optimize.parameters) BayesianParameters (class in optimize.parameters)

BoundedParameter (class in optimize.parameters) BoundedParameters (class in optimize.parameters)

C

Chi2Loss (class in optimize.objectives) compute_cov_matrix() (optimize.kernels.QuasiPeriodic method)

compute_dist_matrix() (optimize.kernels.StationaryNoiseKernel method) CorrelatedNoiseKernel (class in optimize.kernels) CorrelatedNoiseProcess (class in optimize.noise)

E

emceeSampler (class in optimize.samplers)

G

Gaussian (class in optimize.priors) GaussianProcess (class in optimize.noise)

get_locked() (optimize.parameters.Parameters method) get_varied() (optimize.parameters.Parameters method) get_view() (optimize.parameters.Parameters method)

H

hard_bounds (optimize.parameters.BayesianParameter property) (optimize.parameters.BoundedParameter property) (optimize.parameters.BoundedParameters property)

hard_bounds_varied (optimize.parameters.BoundedParameters property) has_prior() (optimize.parameters.BayesianParameter method)

I

in_bounds (optimize.parameters.BoundedParameter property) index_from_par() (optimize.parameters.Parameters method) init_sampler() (optimize.samplers.ZeusSampler method) initialize() (optimize.kernels.NoiseKernel method)

initialize_parameters() (optimize.neldermead.IterativeNelderMead method) initialize_sampler() (optimize.samplers.emceeSampler method) initialize_simplex() (optimize.neldermead.IterativeNelderMead method) IterativeNelderMead (class in optimize.neldermead)

J

JeffreysSG (class in optimize.priors)

L

latex_str (optimize.parameters.BayesianParameter attribute) (optimize.parameters.BoundedParameter attribute) (optimize.parameters.Parameter attribute) logprob() (optimize.priors.Gaussian method) (optimize.priors.JeffreysSG method) (optimize.priors.Negative method) (optimize.priors.Positive method) (optimize.priors.Prior method) (optimize.priors.Uniform method)

lower_bound (optimize.parameters.BayesianParameter property) (optimize.parameters.BoundedParameter attribute) (optimize.priors.JeffreysSG attribute) (optimize.priors.Uniform attribute) lower_bounds (optimize.parameters.BoundedParameters property)

M

module optimize.kernels optimize.neldermead optimize.noise optimize.objectives optimize.parameters optimize.priors optimize.problems optimize.samplers

mu (optimize.priors.Gaussian attribute)

N

name (optimize.noise.NoiseProcess attribute) (optimize.parameters.BayesianParameter attribute) (optimize.parameters.BoundedParameter attribute) (optimize.parameters.Parameter attribute) Negative (class in optimize.priors)

NoiseKernel (class in optimize.kernels) NoiseProcess (class in optimize.noise) num_in_bounds (optimize.parameters.BoundedParameters property) num_locked (optimize.parameters.Parameters property) num_out_of_bounds (optimize.parameters.BoundedParameters property) num_varied (optimize.parameters.Parameters property)

O

ObjectiveFunction (class in optimize.objectives) optimize.kernels module optimize.neldermead module optimize.noise module optimize.objectives module

optimize.parameters module optimize.priors module optimize.problems module optimize.samplers module OptProblem (class in optimize.problems) out_of_bounds (optimize.parameters.BoundedParameter property)

P

par_from_index() (optimize.parameters.Parameters method) par_names (optimize.kernels.NoiseKernel attribute) Parameter (class in optimize.parameters) Parameters (class in optimize.parameters)

penalize() (optimize.neldermead.IterativeNelderMead method) Positive (class in optimize.priors) Prior (class in optimize.priors) priors (optimize.parameters.BayesianParameter attribute)

Q

QuasiPeriodic (class in optimize.kernels)

R

RMSLoss (class in optimize.objectives) rmsloss() (optimize.objectives.RMSLoss static method)

run_mcmc() (optimize.samplers.emceeSampler method) (optimize.samplers.ZeusSampler method)

S

scale (optimize.parameters.BayesianParameter attribute) (optimize.parameters.BayesianParameter property) (optimize.parameters.BoundedParameter property) scales (optimize.parameters.BayesianParameters property)

set_name() (optimize.parameters.Parameter method) set_vec() (optimize.parameters.Parameters method) sigma (optimize.priors.Gaussian attribute) StationaryNoiseKernel (class in optimize.kernels)

U

UnCorrelatedNoiseKernel (class in optimize.kernels) UnCorrelatedNoiseProcess (class in optimize.noise) Uniform (class in optimize.priors) unpack() (optimize.parameters.Parameters method)

upper_bound (optimize.parameters.BayesianParameter property) (optimize.parameters.BoundedParameter attribute) (optimize.priors.JeffreysSG attribute) (optimize.priors.Uniform attribute) upper_bounds (optimize.parameters.BoundedParameters property)

V

value (optimize.parameters.BayesianParameter attribute) (optimize.parameters.BoundedParameter attribute) (optimize.parameters.Parameter attribute) value_str (optimize.parameters.Parameter property)

varied_inds (optimize.parameters.Parameters property) vary (optimize.parameters.BayesianParameter attribute) (optimize.parameters.BoundedParameter attribute) (optimize.parameters.Parameter attribute)

W

WhiteNoiseProcess (class in optimize.noise)

Z

ZeusSampler (class in optimize.samplers)