svb
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Contents:
Stochastic Variational Bayes - Theory
Implementation of SVB
Tests using Biexponential model
Tests using Arterial Spin Labelling model
Sample size inflation tests
Learning rate quenching tests
Command line usage
Python API
svb
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Index
A
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C
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E
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F
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G
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I
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L
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M
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N
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P
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S
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T
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V
A
ARDPrior (class in svb.prior)
C
ConstantMRFSpatialPrior (class in svb.prior)
E
entropy() (svb.posterior.FactorisedPosterior method)
(svb.posterior.GaussianGlobalPosterior method)
(svb.posterior.MVNPosterior method)
(svb.posterior.NormalPosterior method)
(svb.posterior.Posterior method)
evaluate() (svb.model.Model method)
(svb.svb.SvbFit method)
F
FabberMRFSpatialPrior (class in svb.prior)
FactorisedPosterior (class in svb.posterior)
FactorisedPrior (class in svb.prior)
fit_batch() (svb.svb.SvbFit method)
G
GaussianGlobalPosterior (class in svb.posterior)
get_model_class() (in module svb.model)
get_parameter() (in module svb.parameter)
get_posterior() (in module svb.posterior)
get_prior() (in module svb.prior)
I
ievaluate() (svb.model.Model method)
L
latent_loss() (svb.posterior.FactorisedPosterior method)
log_config() (svb.model.Model method)
log_det_cov() (svb.posterior.FactorisedPosterior method)
(svb.posterior.MVNPosterior method)
(svb.prior.FactorisedPrior method)
log_tf() (svb.utils.LogBase method)
LogBase (class in svb.utils)
M
mean_log_pdf() (svb.prior.FactorisedPrior method)
(svb.prior.MRF2SpatialPrior method)
(svb.prior.MRFSpatialPrior method)
(svb.prior.NormalPrior method)
(svb.prior.Prior method)
Model (class in svb.model)
MRF2SpatialPrior (class in svb.prior)
MRFSpatialPrior (class in svb.prior)
MVNPosterior (class in svb.posterior)
N
NormalPosterior (class in svb.posterior)
NormalPrior (class in svb.prior)
nparams (svb.model.Model attribute)
P
param_idx() (svb.model.Model method)
Parameter (class in svb.parameter)
Posterior (class in svb.posterior)
Prior (class in svb.prior)
S
sample() (svb.posterior.FactorisedPosterior method)
(svb.posterior.GaussianGlobalPosterior method)
(svb.posterior.MVNPosterior method)
(svb.posterior.NormalPosterior method)
(svb.posterior.Posterior method)
set_state() (svb.posterior.FactorisedPosterior method)
(svb.posterior.GaussianGlobalPosterior method)
(svb.posterior.MVNPosterior method)
(svb.posterior.NormalPosterior method)
(svb.posterior.Posterior method)
(svb.svb.SvbFit method)
state() (svb.posterior.FactorisedPosterior method)
(svb.posterior.GaussianGlobalPosterior method)
(svb.posterior.MVNPosterior method)
(svb.posterior.NormalPosterior method)
(svb.posterior.Posterior method)
(svb.svb.SvbFit method)
svb.model (module)
svb.parameter (module)
svb.posterior (module)
svb.prior (module)
svb.svb (module)
,
[1]
svb.utils (module)
SvbFit (class in svb.svb)
T
test_data() (svb.model.Model method)
tpts() (svb.model.Model method)
train() (svb.svb.SvbFit method)
V
ValueList() (in module svb.utils)
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