Heron
Site
Basics
Heron
Installation
Usage
Tutorials
Usage
Introduction to Gaussian processes
Covariance Functions
Models
George-based models
Implementing new models
0.3
10-move-scripts-to-an-installable-location
11-add-support-for-matched-filtering
12-add-support-for-surrogate-production-over-a-reduced-basis
9-set-up-continuous-commit-testing
george
imrphenom-cuda
kn-lightcurve
master
matched-filtering
new-gt-data
prior-tests
v0.1.0
v0.2.0
v0.3.0
Basics
Heron
Installation
Usage
Tutorials
Usage
Introduction to Gaussian processes
Covariance Functions
Models
George-based models
Implementing new models
Index
A
|
B
|
C
|
D
|
E
|
F
|
G
|
H
|
I
|
K
|
L
|
M
|
N
|
O
|
P
|
R
|
S
|
T
|
U
A
active_learn() (heron.regression.SingleTaskGP method)
add_data() (heron.data.Data method)
(heron.regression.SingleTaskGP method)
B
BBHNonSpinSurrogate (class in heron.models.gw)
BBHSurrogate (class in heron.models.gw)
bilby() (heron.models.gw.HofTSurrogate method)
build() (heron.models.georgebased.HodlrGPR method)
C
c_ind (heron.models.gw.BBHNonSpinSurrogate attribute)
(heron.models.gw.BBHSurrogate attribute)
calculate_normalisation() (heron.data.Data method)
columns (heron.models.gw.BBHNonSpinSurrogate attribute)
(heron.models.gw.BBHSurrogate attribute)
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)
distribution() (heron.models.georgebased.HodlrGPR method)
(heron.models.georgebased.HodlrReducedGPR method)
draw_samples() (in module heron.sampling)
E
entropy() (heron.regression.SingleTaskGP method)
eval() (heron.models.georgebased.HodlrGPR method)
expected_improvement() (heron.regression.SingleTaskGP method)
ExponentialSineSq (class in heron.kernels)
F
Filter (class in heron.filtering)
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
heron.corner
module
heron.data
module
heron.filtering
module
heron.kernels
module
heron.models
module
heron.models.georgebased
module
heron.models.gw
module
heron.priors
module
heron.regression
module
,
[1]
heron.sampling
module
heron.training
module
,
[1]
Heron2dHodlr (class in heron.models.georgebased)
Heron2dHodlrIMR (class in heron.models.georgebased)
,
[1]
HeronHodlr (class in heron.models.georgebased)
,
[1]
HodlrGPR (class in heron.models.georgebased)
HodlrReducedGPR (class in heron.models.georgebased)
,
[1]
HofTSurrogate (class in heron.models.gw)
hyper (heron.kernels.ExponentialSineSq attribute)
(heron.kernels.SquaredExponential attribute)
hyperpriortransform() (heron.regression.SingleTaskGP method)
I
inner_product_noise() (in module heron.filtering)
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)
log_evidence() (heron.models.georgebased.HodlrGPR method)
loghyperpriors() (heron.regression.SingleTaskGP method)
logp() (heron.priors.Normal method)
(in module heron.training)
M
matched_likelihood() (heron.filtering.Filter method)
Matern (class in heron.kernels)
matrix() (heron.kernels.ExponentialSineSq method)
(heron.kernels.Kernel method)
mean() (heron.models.georgebased.HodlrGPR method)
(heron.models.georgebased.HodlrReducedGPR method)
Model (class in heron.models)
,
[1]
module
heron
heron.corner
heron.data
heron.filtering
heron.kernels
heron.models
heron.models.georgebased
heron.models.gw
heron.priors
heron.regression
,
[1]
heron.sampling
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
parameters (heron.models.gw.BBHSurrogate attribute)
prediction() (heron.regression.MultiTaskGP method)
(heron.regression.SingleTaskGP method)
Prior (class in heron.priors)
prior_transform() (in module heron.training)
problem_dims (heron.models.gw.BBHNonSpinSurrogate attribute)
(heron.models.gw.BBHSurrogate attribute)
R
ReducedModel (class in heron.models)
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.models.georgebased.HodlrGPR method)
(heron.regression.MultiTaskGP method)
(heron.regression.SingleTaskGP method)
(in module heron.models.georgebased)
train_cv() (in module heron.training)
transform() (heron.priors.Normal method)
U
UndefinedParameters
UnsupportedError
update() (heron.regression.MultiTaskGP method)
(heron.regression.SingleTaskGP method)