VIABEL
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Installation and Testing
Quickstart
Using Stan Models: A Robust Linear Regression Example
API
VIABEL
Index
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Index
_
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A
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B
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C
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D
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E
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F
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G
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I
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K
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L
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M
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N
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O
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P
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R
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S
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U
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V
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W
_
__call__() (viabel.Model method)
(viabel.VariationalObjective method)
__init__() (viabel.Adagrad method)
(viabel.Adam method)
(viabel.AlphaDivergence method)
(viabel.ApproximationFamily method)
(viabel.AveragedAdam method)
(viabel.AveragedRMSProp method)
(viabel.DISInclusiveKL method)
(viabel.ExclusiveKL method)
(viabel.FASO method)
(viabel.MFGaussian method)
(viabel.MFStudentT method)
(viabel.Model method)
(viabel.MultivariateT method)
(viabel.NeuralNet method)
(viabel.NVPFlow method)
(viabel.RAABBVI method)
(viabel.RMSProp method)
(viabel.StanModel method)
(viabel.StochasticGradientOptimizer method)
(viabel.VariationalObjective method)
(viabel.WindowedAdagrad method)
A
Adagrad (class in viabel)
Adam (class in viabel)
all_diagnostics() (in module viabel)
AlphaDivergence (class in viabel)
ApproximationFamily (class in viabel)
AveragedAdam (class in viabel)
AveragedRMSProp (class in viabel)
B
bbvi() (in module viabel)
C
constrain() (viabel.Model method)
(viabel.StanModel method)
convg_iteration_trend_detection() (viabel.RAABBVI method)
D
descent_direction() (viabel.Adagrad method)
(viabel.Adam method)
(viabel.AveragedAdam method)
(viabel.AveragedRMSProp method)
(viabel.RMSProp method)
(viabel.StochasticGradientOptimizer method)
(viabel.WindowedAdagrad method)
DISInclusiveKL (class in viabel)
divergence_bound() (in module viabel)
E
entropy() (viabel.ApproximationFamily method)
(viabel.MFStudentT method)
(viabel.MultivariateT method)
error_bounds() (in module viabel)
ExclusiveKL (class in viabel)
F
f() (viabel.NVPFlow method)
FASO (class in viabel)
G
g() (viabel.NVPFlow method)
I
init_param() (viabel.ApproximationFamily method)
(viabel.MFGaussian method)
(viabel.MFStudentT method)
(viabel.MultivariateT method)
K
kl() (viabel.ApproximationFamily method)
L
log_density() (viabel.ApproximationFamily method)
(viabel.MFGaussian method)
(viabel.MFStudentT method)
(viabel.MultivariateT method)
(viabel.NeuralNet method)
(viabel.NVPFlow method)
M
mean_and_cov() (viabel.ApproximationFamily method)
(viabel.MFGaussian method)
(viabel.MFStudentT method)
(viabel.MultivariateT method)
(viabel.NeuralNet method)
(viabel.NVPFlow method)
MFGaussian (class in viabel)
MFStudentT (class in viabel)
Model (class in viabel)
MultivariateT (class in viabel)
N
NeuralNet (class in viabel)
NVPFlow (class in viabel)
O
optimize() (viabel.FASO method)
(viabel.Optimizer method)
(viabel.RAABBVI method)
(viabel.StochasticGradientOptimizer method)
Optimizer (class in viabel)
P
pth_moment() (viabel.ApproximationFamily method)
R
RAABBVI (class in viabel)
reset_state() (viabel.Adagrad method)
(viabel.Adam method)
(viabel.AveragedAdam method)
(viabel.AveragedRMSProp method)
(viabel.RMSProp method)
(viabel.StochasticGradientOptimizer method)
(viabel.WindowedAdagrad method)
RMSProp (class in viabel)
S
sample() (viabel.ApproximationFamily method)
(viabel.MFGaussian method)
(viabel.MFStudentT method)
(viabel.MultivariateT method)
(viabel.NeuralNet method)
(viabel.NVPFlow method)
set_inverse_temperature() (viabel.Model method)
StanModel (class in viabel)
StochasticGradientOptimizer (class in viabel)
supports_pth_moment() (viabel.ApproximationFamily method)
(viabel.MFGaussian method)
(viabel.MFStudentT method)
(viabel.MultivariateT method)
(viabel.NeuralNet method)
(viabel.NVPFlow method)
U
update() (viabel.VariationalObjective method)
V
VariationalObjective (class in viabel)
vi_diagnostics() (in module viabel)
W
wasserstein_bounds() (in module viabel)
weighted_linear_regression() (viabel.RAABBVI method)
WindowedAdagrad (class in viabel)
wls() (viabel.RAABBVI method)
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