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Index
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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H
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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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Q
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R
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S
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T
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U
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V
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Z
A
alpha (Beta attribute)
(Dirichlet attribute)
(Gamma attribute)
(InverseGamma attribute)
B
bag_of_categoricals() (BayesianNet method)
BagofCategoricals (in module zhusuan.distributions.multivariate)
(in module zhusuan.legacy.framework.stochastic)
batch_shape (Bernoulli attribute)
(Beta attribute)
(BinConcrete attribute)
(Binomial attribute)
(Categorical attribute)
(Concrete attribute)
(Dirichlet attribute)
(Distribution attribute)
(ExpConcrete attribute)
(FoldNormal attribute)
(Gamma attribute)
(InverseGamma attribute)
(Laplace attribute)
(MatrixVariateNormalCholesky attribute)
(Multinomial attribute)
(MultivariateNormalCholesky attribute)
(Normal attribute)
(OnehotCategorical attribute)
(Poisson attribute)
(Uniform attribute)
(UnnormalizedMultinomial attribute)
BayesianNet (class in zhusuan.framework.bn)
Bernoulli (class in zhusuan.distributions.univariate)
(class in zhusuan.legacy.framework.stochastic)
bernoulli() (BayesianNet method)
beta (Beta attribute)
Beta (class in zhusuan.distributions.univariate)
(class in zhusuan.legacy.framework.stochastic)
beta (Gamma attribute)
(InverseGamma attribute)
beta() (BayesianNet method)
bin_concrete() (BayesianNet method)
bin_gumbel_softmax() (BayesianNet method)
BinConcrete (class in zhusuan.distributions.univariate)
(class in zhusuan.legacy.framework.stochastic)
BinGumbelSoftmax (in module zhusuan.distributions.univariate)
(in module zhusuan.legacy.framework.stochastic)
Binomial (class in zhusuan.distributions.univariate)
(class in zhusuan.legacy.framework.stochastic)
binomial() (BayesianNet method)
bn (Bernoulli attribute)
(Beta attribute)
(BinConcrete attribute)
(Binomial attribute)
(Categorical attribute)
(Concrete attribute)
(Dirichlet attribute)
(Empirical attribute)
(EvidenceLowerBoundObjective attribute)
(ExpConcrete attribute)
(FoldNormal attribute)
(Gamma attribute)
(Implicit attribute)
(ImportanceWeightedObjective attribute)
(InclusiveKLObjective attribute)
(InverseGamma attribute)
(Laplace attribute)
(MatrixVariateNormalCholesky attribute)
(Multinomial attribute)
(MultivariateNormalCholesky attribute)
(Normal attribute)
(OnehotCategorical attribute)
(Poisson attribute)
(StochasticTensor attribute)
(Uniform attribute)
(UnnormalizedMultinomial attribute)
(VariationalObjective attribute)
C
Categorical (class in zhusuan.distributions.univariate)
(class in zhusuan.legacy.framework.stochastic)
categorical() (BayesianNet method)
Concrete (class in zhusuan.distributions.multivariate)
(class in zhusuan.legacy.framework.stochastic)
concrete() (BayesianNet method)
cond_log_p (Bernoulli attribute)
(Beta attribute)
(BinConcrete attribute)
(Binomial attribute)
(Categorical attribute)
(Concrete attribute)
(Dirichlet attribute)
(Empirical attribute)
(ExpConcrete attribute)
(FoldNormal attribute)
(Gamma attribute)
(Implicit attribute)
(InverseGamma attribute)
(Laplace attribute)
(MatrixVariateNormalCholesky attribute)
(Multinomial attribute)
(MultivariateNormalCholesky attribute)
(Normal attribute)
(OnehotCategorical attribute)
(Poisson attribute)
(StochasticTensor attribute)
(Uniform attribute)
(UnnormalizedMultinomial attribute)
cond_log_prob() (BayesianNet method)
cov_tril (MultivariateNormalCholesky attribute)
D
default_hps (PSGLD.RMSPreconditioner attribute)
deterministic() (BayesianNet method)
Dirichlet (class in zhusuan.distributions.multivariate)
(class in zhusuan.legacy.framework.stochastic)
dirichlet() (BayesianNet method)
Discrete (in module zhusuan.distributions.univariate)
(in module zhusuan.legacy.framework.stochastic)
discrete() (BayesianNet method)
dist (Bernoulli attribute)
(Beta attribute)
(BinConcrete attribute)
(Binomial attribute)
(Categorical attribute)
(Concrete attribute)
(Dirichlet attribute)
(Empirical attribute)
(ExpConcrete attribute)
(FoldNormal attribute)
(Gamma attribute)
(Implicit attribute)
(InverseGamma attribute)
(Laplace attribute)
(MatrixVariateNormalCholesky attribute)
(Multinomial attribute)
(MultivariateNormalCholesky attribute)
(Normal attribute)
(OnehotCategorical attribute)
(Poisson attribute)
(StochasticTensor attribute)
(Uniform attribute)
(UnnormalizedMultinomial attribute)
distribution (Bernoulli attribute)
(Beta attribute)
(BinConcrete attribute)
(Binomial attribute)
(Categorical attribute)
Distribution (class in zhusuan.distributions.base)
distribution (Concrete attribute)
(Dirichlet attribute)
(Empirical attribute)
(ExpConcrete attribute)
(FoldNormal attribute)
(Gamma attribute)
(Implicit attribute)
(InverseGamma attribute)
(Laplace attribute)
(MatrixVariateNormalCholesky attribute)
(Multinomial attribute)
(MultivariateNormalCholesky attribute)
(Normal attribute)
(OnehotCategorical attribute)
(Poisson attribute)
(StochasticTensor attribute)
(Uniform attribute)
(UnnormalizedMultinomial attribute)
dtype (Bernoulli attribute)
,
[1]
(Beta attribute)
,
[1]
(BinConcrete attribute)
,
[1]
(Binomial attribute)
,
[1]
(Categorical attribute)
,
[1]
(Concrete attribute)
,
[1]
(Dirichlet attribute)
,
[1]
(Distribution attribute)
(Empirical attribute)
(ExpConcrete attribute)
,
[1]
(FoldNormal attribute)
,
[1]
(Gamma attribute)
,
[1]
(Implicit attribute)
(InverseGamma attribute)
,
[1]
(Laplace attribute)
,
[1]
(MatrixVariateNormalCholesky attribute)
,
[1]
(Multinomial attribute)
,
[1]
(MultivariateNormalCholesky attribute)
,
[1]
(Normal attribute)
,
[1]
(OnehotCategorical attribute)
,
[1]
(Poisson attribute)
,
[1]
(StochasticTensor attribute)
(Uniform attribute)
,
[1]
(UnnormalizedMultinomial attribute)
,
[1]
E
effective_sample_size() (in module zhusuan.diagnostics)
effective_sample_size_1d() (in module zhusuan.diagnostics)
elbo() (in module zhusuan.variational.exclusive_kl)
Empirical (class in zhusuan.legacy.distributions.special)
(class in zhusuan.legacy.framework.stochastic)
EvidenceLowerBoundObjective (class in zhusuan.variational.exclusive_kl)
exp_concrete() (BayesianNet method)
exp_gumbel_softmax() (BayesianNet method)
ExpConcrete (class in zhusuan.distributions.multivariate)
(class in zhusuan.legacy.framework.stochastic)
ExpGumbelSoftmax (in module zhusuan.distributions.multivariate)
(in module zhusuan.legacy.framework.stochastic)
explicit_broadcast() (in module zhusuan.distributions.utils)
F
fold_normal() (BayesianNet method)
FoldNormal (class in zhusuan.distributions.univariate)
(class in zhusuan.legacy.framework.stochastic)
G
Gamma (class in zhusuan.distributions.univariate)
(class in zhusuan.legacy.framework.stochastic)
gamma() (BayesianNet method)
get() (BayesianNet method)
get_backward_ops() (in module zhusuan.framework.utils)
get_batch_shape() (Bernoulli method)
(Beta method)
(BinConcrete method)
(Binomial method)
(Categorical method)
(Concrete method)
(Dirichlet method)
(Distribution method)
(ExpConcrete method)
(FoldNormal method)
(Gamma method)
(InverseGamma method)
(Laplace method)
(MatrixVariateNormalCholesky method)
(Multinomial method)
(MultivariateNormalCholesky method)
(Normal method)
(OnehotCategorical method)
(Poisson method)
(Uniform method)
(UnnormalizedMultinomial method)
get_context() (zhusuan.framework.bn.BayesianNet class method)
get_contexts() (zhusuan.framework.bn.BayesianNet class method)
get_shape() (Bernoulli method)
(Beta method)
(BinConcrete method)
(Binomial method)
(Categorical method)
(Concrete method)
(Dirichlet method)
(Empirical method)
(ExpConcrete method)
(FoldNormal method)
(Gamma method)
(Implicit method)
(InverseGamma method)
(Laplace method)
(MatrixVariateNormalCholesky method)
(Multinomial method)
(MultivariateNormalCholesky method)
(Normal method)
(OnehotCategorical method)
(Poisson method)
(StochasticTensor method)
(Uniform method)
(UnnormalizedMultinomial method)
get_value_shape() (Bernoulli method)
(Beta method)
(BinConcrete method)
(Binomial method)
(Categorical method)
(Concrete method)
(Dirichlet method)
(Distribution method)
(ExpConcrete method)
(FoldNormal method)
(Gamma method)
(InverseGamma method)
(Laplace method)
(MatrixVariateNormalCholesky method)
(Multinomial method)
(MultivariateNormalCholesky method)
(Normal method)
(OnehotCategorical method)
(Poisson method)
(Uniform method)
(UnnormalizedMultinomial method)
group_ndims (Bernoulli attribute)
(Beta attribute)
(BinConcrete attribute)
(Binomial attribute)
(Categorical attribute)
(Concrete attribute)
(Dirichlet attribute)
(Distribution attribute)
(ExpConcrete attribute)
(FoldNormal attribute)
(Gamma attribute)
(InverseGamma attribute)
(Laplace attribute)
(MatrixVariateNormalCholesky attribute)
(Multinomial attribute)
(MultivariateNormalCholesky attribute)
(Normal attribute)
(OnehotCategorical attribute)
(Poisson attribute)
(Uniform attribute)
(UnnormalizedMultinomial attribute)
gumbel_softmax() (BayesianNet method)
GumbelSoftmax (in module zhusuan.distributions.multivariate)
(in module zhusuan.legacy.framework.stochastic)
H
HMC (class in zhusuan.hmc)
HMCInfo (class in zhusuan.hmc)
HParams (PSGLD.RMSPreconditioner attribute)
I
Implicit (class in zhusuan.legacy.distributions.special)
(class in zhusuan.legacy.framework.stochastic)
importance() (InclusiveKLObjective method)
importance_weighted_objective() (in module zhusuan.variational.monte_carlo)
ImportanceWeightedObjective (class in zhusuan.variational.monte_carlo)
InclusiveKLObjective (class in zhusuan.variational.inclusive_kl)
inverse_gamma() (BayesianNet method)
InverseGamma (class in zhusuan.distributions.univariate)
(class in zhusuan.legacy.framework.stochastic)
is_continuous (Bernoulli attribute)
(Beta attribute)
(BinConcrete attribute)
(Binomial attribute)
(Categorical attribute)
(Concrete attribute)
(Dirichlet attribute)
(Distribution attribute)
(ExpConcrete attribute)
(FoldNormal attribute)
(Gamma attribute)
(InverseGamma attribute)
(Laplace attribute)
(MatrixVariateNormalCholesky attribute)
(Multinomial attribute)
(MultivariateNormalCholesky attribute)
(Normal attribute)
(OnehotCategorical attribute)
(Poisson attribute)
(Uniform attribute)
(UnnormalizedMultinomial attribute)
is_loglikelihood() (in module zhusuan.evaluation)
is_observed() (Bernoulli method)
(Beta method)
(BinConcrete method)
(Binomial method)
(Categorical method)
(Concrete method)
(Dirichlet method)
(Empirical method)
(ExpConcrete method)
(FoldNormal method)
(Gamma method)
(Implicit method)
(InverseGamma method)
(Laplace method)
(MatrixVariateNormalCholesky method)
(Multinomial method)
(MultivariateNormalCholesky method)
(Normal method)
(OnehotCategorical method)
(Poisson method)
(StochasticTensor method)
(Uniform method)
(UnnormalizedMultinomial method)
is_reparameterized (Bernoulli attribute)
(Beta attribute)
(BinConcrete attribute)
(Binomial attribute)
(Categorical attribute)
(Concrete attribute)
(Dirichlet attribute)
(Distribution attribute)
(ExpConcrete attribute)
(FoldNormal attribute)
(Gamma attribute)
(InverseGamma attribute)
(Laplace attribute)
(MatrixVariateNormalCholesky attribute)
(Multinomial attribute)
(MultivariateNormalCholesky attribute)
(Normal attribute)
(OnehotCategorical attribute)
(Poisson attribute)
(Uniform attribute)
(UnnormalizedMultinomial attribute)
is_same_dynamic_shape() (in module zhusuan.distributions.utils)
iw_objective() (in module zhusuan.variational.monte_carlo)
K
klpq() (in module zhusuan.variational.inclusive_kl)
L
Laplace (class in zhusuan.distributions.univariate)
(class in zhusuan.legacy.framework.stochastic)
laplace() (BayesianNet method)
loc (Laplace attribute)
local_log_prob() (BayesianNet method)
log_combination() (in module zhusuan.distributions.utils)
log_joint (MetaBayesianNet attribute)
log_joint() (BayesianNet method)
log_mean_exp() (in module zhusuan.utils)
log_prob() (Bernoulli method)
,
[1]
(Beta method)
,
[1]
(BinConcrete method)
,
[1]
(Binomial method)
,
[1]
(Categorical method)
,
[1]
(Concrete method)
,
[1]
(Dirichlet method)
,
[1]
(Distribution method)
(Empirical method)
(ExpConcrete method)
,
[1]
(FoldNormal method)
,
[1]
(Gamma method)
,
[1]
(Implicit method)
(InverseGamma method)
,
[1]
(Laplace method)
,
[1]
(MatrixVariateNormalCholesky method)
,
[1]
(Multinomial method)
,
[1]
(MultivariateNormalCholesky method)
,
[1]
(Normal method)
,
[1]
(OnehotCategorical method)
,
[1]
(Poisson method)
,
[1]
(StochasticTensor method)
(Uniform method)
,
[1]
(UnnormalizedMultinomial method)
,
[1]
logits (Bernoulli attribute)
(BinConcrete attribute)
(Binomial attribute)
(Categorical attribute)
(Concrete attribute)
(ExpConcrete attribute)
(Multinomial attribute)
(OnehotCategorical attribute)
(UnnormalizedMultinomial attribute)
logstd (FoldNormal attribute)
(Normal attribute)
M
matrix_variate_normal_cholesky() (BayesianNet method)
MatrixVariateNormalCholesky (class in zhusuan.distributions.multivariate)
(class in zhusuan.legacy.framework.stochastic)
maxval (Uniform attribute)
maybe_explicit_broadcast() (in module zhusuan.distributions.utils)
mean (FoldNormal attribute)
(MatrixVariateNormalCholesky attribute)
(MultivariateNormalCholesky attribute)
(Normal attribute)
merge_dicts() (in module zhusuan.utils)
meta_bayesian_net() (in module zhusuan.framework.meta_bn)
meta_bn (EvidenceLowerBoundObjective attribute)
(ImportanceWeightedObjective attribute)
(InclusiveKLObjective attribute)
(VariationalObjective attribute)
MetaBayesianNet (class in zhusuan.framework.meta_bn)
minval (Uniform attribute)
Multinomial (class in zhusuan.distributions.multivariate)
(class in zhusuan.legacy.framework.stochastic)
multinomial() (BayesianNet method)
multivariate_normal_cholesky() (BayesianNet method)
MultivariateNormalCholesky (class in zhusuan.distributions.multivariate)
(class in zhusuan.legacy.framework.stochastic)
N
n_categories (Categorical attribute)
(Concrete attribute)
(Dirichlet attribute)
(ExpConcrete attribute)
(Multinomial attribute)
(OnehotCategorical attribute)
(UnnormalizedMultinomial attribute)
n_experiments (Binomial attribute)
(Multinomial attribute)
name (Bernoulli attribute)
(Beta attribute)
(BinConcrete attribute)
(Binomial attribute)
(Categorical attribute)
(Concrete attribute)
(Dirichlet attribute)
(Empirical attribute)
(ExpConcrete attribute)
(FoldNormal attribute)
(Gamma attribute)
(Implicit attribute)
(InverseGamma attribute)
(Laplace attribute)
(MatrixVariateNormalCholesky attribute)
(Multinomial attribute)
(MultivariateNormalCholesky attribute)
(Normal attribute)
(OnehotCategorical attribute)
(Poisson attribute)
(StochasticTensor attribute)
(Uniform attribute)
(UnnormalizedMultinomial attribute)
net (Bernoulli attribute)
(Beta attribute)
(BinConcrete attribute)
(Binomial attribute)
(Categorical attribute)
(Concrete attribute)
(Dirichlet attribute)
(Empirical attribute)
(ExpConcrete attribute)
(FoldNormal attribute)
(Gamma attribute)
(Implicit attribute)
(InverseGamma attribute)
(Laplace attribute)
(MatrixVariateNormalCholesky attribute)
(Multinomial attribute)
(MultivariateNormalCholesky attribute)
(Normal attribute)
(OnehotCategorical attribute)
(Poisson attribute)
(StochasticTensor attribute)
(Uniform attribute)
(UnnormalizedMultinomial attribute)
nodes (BayesianNet attribute)
Normal (class in zhusuan.distributions.univariate)
(class in zhusuan.legacy.framework.stochastic)
normal() (BayesianNet method)
O
observe() (MetaBayesianNet method)
onehot_categorical() (BayesianNet method)
onehot_discrete() (BayesianNet method)
OnehotCategorical (class in zhusuan.distributions.multivariate)
(class in zhusuan.legacy.framework.stochastic)
OnehotDiscrete (in module zhusuan.distributions.multivariate)
(in module zhusuan.legacy.framework.stochastic)
outputs() (BayesianNet method)
P
param_dtype (Bernoulli attribute)
(Beta attribute)
(BinConcrete attribute)
(Binomial attribute)
(Categorical attribute)
(Concrete attribute)
(Dirichlet attribute)
(Distribution attribute)
(ExpConcrete attribute)
(FoldNormal attribute)
(Gamma attribute)
(InverseGamma attribute)
(Laplace attribute)
(MatrixVariateNormalCholesky attribute)
(Multinomial attribute)
(MultivariateNormalCholesky attribute)
(Normal attribute)
(OnehotCategorical attribute)
(Poisson attribute)
(Uniform attribute)
(UnnormalizedMultinomial attribute)
path_param() (Bernoulli method)
(Beta method)
(BinConcrete method)
(Binomial method)
(Categorical method)
(Concrete method)
(Dirichlet method)
(Distribution method)
(ExpConcrete method)
(FoldNormal method)
(Gamma method)
(InverseGamma method)
(Laplace method)
(MatrixVariateNormalCholesky method)
(Multinomial method)
(MultivariateNormalCholesky method)
(Normal method)
(OnehotCategorical method)
(Poisson method)
(Uniform method)
(UnnormalizedMultinomial method)
planar_normalizing_flow() (in module zhusuan.transform)
Poisson (class in zhusuan.distributions.univariate)
(class in zhusuan.legacy.framework.stochastic)
poisson() (BayesianNet method)
prob() (Bernoulli method)
,
[1]
(Beta method)
,
[1]
(BinConcrete method)
,
[1]
(Binomial method)
,
[1]
(Categorical method)
,
[1]
(Concrete method)
,
[1]
(Dirichlet method)
,
[1]
(Distribution method)
(Empirical method)
(ExpConcrete method)
,
[1]
(FoldNormal method)
,
[1]
(Gamma method)
,
[1]
(Implicit method)
(InverseGamma method)
,
[1]
(Laplace method)
,
[1]
(MatrixVariateNormalCholesky method)
,
[1]
(Multinomial method)
,
[1]
(MultivariateNormalCholesky method)
,
[1]
(Normal method)
,
[1]
(OnehotCategorical method)
,
[1]
(Poisson method)
,
[1]
(StochasticTensor method)
(Uniform method)
,
[1]
(UnnormalizedMultinomial method)
,
[1]
PSGLD (class in zhusuan.sgmcmc)
PSGLD.RMSPreconditioner (class in zhusuan.sgmcmc)
Q
query() (BayesianNet method)
R
rate (Poisson attribute)
reinforce() (EvidenceLowerBoundObjective method)
reuse() (in module zhusuan.framework.utils)
reuse_variables() (in module zhusuan.framework.utils)
rws() (InclusiveKLObjective method)
S
sample() (Bernoulli method)
,
[1]
(Beta method)
,
[1]
(BinConcrete method)
,
[1]
(Binomial method)
,
[1]
(Categorical method)
,
[1]
(Concrete method)
,
[1]
(Dirichlet method)
,
[1]
(Distribution method)
(Empirical method)
(ExpConcrete method)
,
[1]
(FoldNormal method)
,
[1]
(Gamma method)
,
[1]
(HMC method)
(Implicit method)
(InverseGamma method)
,
[1]
(Laplace method)
,
[1]
(MatrixVariateNormalCholesky method)
,
[1]
(Multinomial method)
,
[1]
(MultivariateNormalCholesky method)
,
[1]
(Normal method)
,
[1]
(OnehotCategorical method)
,
[1]
(Poisson method)
,
[1]
(SGMCMC method)
(StochasticTensor method)
(Uniform method)
,
[1]
(UnnormalizedMultinomial method)
,
[1]
scale (Laplace attribute)
SGHMC (class in zhusuan.sgmcmc)
SGLD (class in zhusuan.sgmcmc)
SGMCMC (class in zhusuan.sgmcmc)
SGNHT (class in zhusuan.sgmcmc)
sgvb() (EvidenceLowerBoundObjective method)
(ImportanceWeightedObjective method)
shape (Bernoulli attribute)
(Beta attribute)
(BinConcrete attribute)
(Binomial attribute)
(Categorical attribute)
(Concrete attribute)
(Dirichlet attribute)
(Empirical attribute)
(ExpConcrete attribute)
(FoldNormal attribute)
(Gamma attribute)
(Implicit attribute)
(InverseGamma attribute)
(Laplace attribute)
(MatrixVariateNormalCholesky attribute)
(Multinomial attribute)
(MultivariateNormalCholesky attribute)
(Normal attribute)
(OnehotCategorical attribute)
(Poisson attribute)
(StochasticTensor attribute)
(Uniform attribute)
(UnnormalizedMultinomial attribute)
std (FoldNormal attribute)
(Normal attribute)
stochastic() (BayesianNet method)
StochasticTensor (class in zhusuan.framework.bn)
T
temperature (BinConcrete attribute)
(Concrete attribute)
(ExpConcrete attribute)
tensor (Bernoulli attribute)
(Beta attribute)
(BinConcrete attribute)
(Binomial attribute)
(Categorical attribute)
(Concrete attribute)
(Dirichlet attribute)
(Empirical attribute)
(EvidenceLowerBoundObjective attribute)
(ExpConcrete attribute)
(FoldNormal attribute)
(Gamma attribute)
(Implicit attribute)
(ImportanceWeightedObjective attribute)
(InclusiveKLObjective attribute)
(InverseGamma attribute)
(Laplace attribute)
(MatrixVariateNormalCholesky attribute)
(Multinomial attribute)
(MultivariateNormalCholesky attribute)
(Normal attribute)
(OnehotCategorical attribute)
(Poisson attribute)
(StochasticTensor attribute)
(Uniform attribute)
(UnnormalizedMultinomial attribute)
(VariationalObjective attribute)
TensorArithmeticMixin (class in zhusuan.utils)
U
u_tril (MatrixVariateNormalCholesky attribute)
Uniform (class in zhusuan.distributions.univariate)
(class in zhusuan.legacy.framework.stochastic)
uniform() (BayesianNet method)
unnormalized_multinomial() (BayesianNet method)
UnnormalizedMultinomial (class in zhusuan.distributions.multivariate)
(class in zhusuan.legacy.framework.stochastic)
use_path_derivative (Bernoulli attribute)
(Beta attribute)
(BinConcrete attribute)
(Binomial attribute)
(Categorical attribute)
(Concrete attribute)
(Dirichlet attribute)
(Distribution attribute)
(ExpConcrete attribute)
(FoldNormal attribute)
(Gamma attribute)
(InverseGamma attribute)
(Laplace attribute)
(MatrixVariateNormalCholesky attribute)
(Multinomial attribute)
(MultivariateNormalCholesky attribute)
(Normal attribute)
(OnehotCategorical attribute)
(Poisson attribute)
(Uniform attribute)
(UnnormalizedMultinomial attribute)
V
v_tril (MatrixVariateNormalCholesky attribute)
value_shape (Bernoulli attribute)
(Beta attribute)
(BinConcrete attribute)
(Binomial attribute)
(Categorical attribute)
(Concrete attribute)
(Dirichlet attribute)
(Distribution attribute)
(ExpConcrete attribute)
(FoldNormal attribute)
(Gamma attribute)
(InverseGamma attribute)
(Laplace attribute)
(MatrixVariateNormalCholesky attribute)
(Multinomial attribute)
(MultivariateNormalCholesky attribute)
(Normal attribute)
(OnehotCategorical attribute)
(Poisson attribute)
(Uniform attribute)
(UnnormalizedMultinomial attribute)
variational (EvidenceLowerBoundObjective attribute)
(ImportanceWeightedObjective attribute)
(InclusiveKLObjective attribute)
(VariationalObjective attribute)
VariationalObjective (class in zhusuan.variational.base)
vimco() (ImportanceWeightedObjective method)
Z
zhusuan.diagnostics (module)
zhusuan.distributions (module)
zhusuan.distributions.base (module)
zhusuan.distributions.multivariate (module)
zhusuan.distributions.univariate (module)
zhusuan.distributions.utils (module)
zhusuan.evaluation (module)
zhusuan.framework (module)
zhusuan.framework.bn (module)
zhusuan.framework.meta_bn (module)
zhusuan.framework.utils (module)
zhusuan.hmc (module)
zhusuan.legacy (module)
zhusuan.legacy.distributions.special (module)
zhusuan.legacy.framework.stochastic (module)
zhusuan.sgmcmc (module)
zhusuan.transform (module)
zhusuan.utils (module)
zhusuan.variational (module)
zhusuan.variational.base (module)
zhusuan.variational.exclusive_kl (module)
zhusuan.variational.inclusive_kl (module)
zhusuan.variational.monte_carlo (module)
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