Index

A

active_learn() (heron.regression.SingleTaskGP method)

add_data() (heron.data.Data method) (heron.regression.SingleTaskGP method)

C

calculate_normalisation() (heron.data.Data method) copy() (heron.data.Data method)

corner() (in module heron.corner) correlation() (heron.regression.SingleTaskGP method) cross_validation() (in module heron.training)

D

Data (class in heron.data)

denormalise() (heron.data.Data method) distance() (heron.kernels.Kernel method)

E

entropy() (heron.regression.SingleTaskGP method)

expected_improvement() (heron.regression.SingleTaskGP method) ExponentialSineSq (class in heron.kernels)

F

flat_hyper() (heron.kernels.SquaredExponential property) function() (heron.kernels.ExponentialSineSq method) (heron.kernels.Matern method) (heron.kernels.SquaredExponential method)

G

get_hyperparameters() (heron.regression.MultiTaskGP method) (heron.regression.SingleTaskGP method) get_starting() (heron.data.Data method)

grad_neg_ln_likelihood() (heron.regression.SingleTaskGP method) gradient() (heron.kernels.ExponentialSineSq method) (heron.kernels.SquaredExponential method)

H

heron module, [1] heron.corner module heron.data module heron.kernels module

heron.priors module heron.regression module, [1] heron.training module, [1] hyper (heron.kernels.ExponentialSineSq attribute) (heron.kernels.SquaredExponential attribute) hyperpriortransform() (heron.regression.SingleTaskGP method)

I

ix2name() (heron.data.Data method)

K

Kernel (class in heron.kernels)

km (heron.regression.SingleTaskGP attribute)

L

ln_likelihood() (heron.regression.MultiTaskGP method) (heron.regression.SingleTaskGP method) (in module heron.training)

load() (in module heron.regression) loghyperpriors() (heron.regression.SingleTaskGP method) logp() (heron.priors.Normal method) (in module heron.training)

M

Matern (class in heron.kernels) matrix() (heron.kernels.ExponentialSineSq method) (heron.kernels.Kernel method) module heron, [1] heron.corner heron.data heron.kernels heron.priors heron.regression, [1] heron.training, [1]

MultiTaskGP (class in heron.regression)

N

name (heron.kernels.ExponentialSineSq attribute) (heron.kernels.Kernel attribute) (heron.kernels.Matern attribute) (heron.kernels.SquaredExponential attribute) name2ix() (heron.data.Data method)

ndim (heron.kernels.Kernel attribute) neg_ln_likelihood() (heron.regression.SingleTaskGP method) nei() (heron.regression.SingleTaskGP method) Normal (class in heron.priors) normalise() (heron.data.Data method)

O

order (heron.kernels.Matern attribute)

P

prediction() (heron.regression.MultiTaskGP method) (heron.regression.SingleTaskGP method)

Prior (class in heron.priors) prior_transform() (in module heron.training)

R

Regressor (class in heron.regression) rmse() (heron.regression.SingleTaskGP method) run_nested() (in module heron.training)

run_sampler() (in module heron.training) run_training_map() (in module heron.training) run_training_mcmc() (in module heron.training) run_training_nested() (in module heron.training)

S

save() (heron.regression.SingleTaskGP method) set_bmatrix() (heron.regression.SingleTaskGP method) set_hyperparameters() (heron.kernels.Kernel method) (heron.kernels.SquaredExponential method) (heron.regression.MultiTaskGP method) (heron.regression.SingleTaskGP method)

SingleTaskGP (class in heron.regression) SquaredExponential (class in heron.kernels)

T

test_predict() (heron.regression.SingleTaskGP method) Timeseries (class in heron.data) train() (heron.regression.MultiTaskGP method) (heron.regression.SingleTaskGP method)

train_cv() (in module heron.training) transform() (heron.priors.Normal method)

U

update() (heron.regression.MultiTaskGP method) (heron.regression.SingleTaskGP method)