Index

A

AdditiveCoupling (class in zhusuan.transforms.invertible.coupling)

assert_invertible() (TestInvertibleTransform method)

B

batch_shape (Distribution property) BayesianNet (class in zhusuan.framework.bn)

Bernoulli (class in zhusuan.distributions.bernoulli) bn (StochasticTensor property)

C

cache (BayesianNet property)

D

dist (StochasticTensor property)

Distribution (class in zhusuan.distributions.base) dtype (StochasticTensor property)

E

ELBO (class in zhusuan.variational.elbo) EvidenceLowerBoundObjective (class in zhusuan.variational.elbo)

execute() (ELBO method) (SGMCMC method) (Transform method)

F

Flow (class in zhusuan.flows.flow)

G

get_coupling_mask() (in module zhusuan.transforms.invertible.coupling)

I

initialize() (SGMCMC method) InvertibleTransform (class in zhusuan.transforms.invertible.base)

is_observed() (StochasticTensor method) is_reparameterized (Distribution property)

L

log_joint() (BayesianNet method) (ELBO method)

log_prob() (Distribution method) (StochasticTensor method) Logistic (class in zhusuan.distributions.logistic)

M

module zhusuan.distributions zhusuan.distributions.base zhusuan.distributions.bernoulli zhusuan.distributions.logistic zhusuan.distributions.normal zhusuan.flows zhusuan.flows.flow zhusuan.framework zhusuan.framework.bn zhusuan.framework.stochastic_tensor zhusuan.mcmc zhusuan.mcmc.SGLD zhusuan.mcmc.SGMCMC zhusuan.tests zhusuan.tests.transforms zhusuan.tests.transforms.base zhusuan.tests.transforms.invertible zhusuan.tests.transforms.invertible.test_coupling zhusuan.tests.transforms.invertible.test_scaling zhusuan.tests.transforms.test_sequential zhusuan.transforms zhusuan.transforms.base zhusuan.transforms.invertible zhusuan.transforms.invertible.base zhusuan.transforms.invertible.coupling zhusuan.transforms.invertible.scaling zhusuan.transforms.sequential zhusuan.variational zhusuan.variational.elbo

N

name (StochasticTensor property)

nodes (BayesianNet property) Normal (class in zhusuan.distributions.normal)

O

observe() (BayesianNet method)

observed (BayesianNet property)

P

probs (Bernoulli property)

S

sample() (Distribution method) (SGMCMC method) Scaling (class in zhusuan.transforms.invertible.scaling) Sequential (class in zhusuan.transforms.sequential) SGLD (class in zhusuan.mcmc.SGLD)

SGMCMC (class in zhusuan.mcmc.SGMCMC) shape (StochasticTensor property) sn() (BayesianNet method) stochastic_node() (BayesianNet method) StochasticTensor (class in zhusuan.framework.stochastic_tensor)

T

tensor (StochasticTensor property) test_invertible() (TestAdditiveCoupling method) (TestScaling method) (TestSequential method)

TestAdditiveCoupling (class in zhusuan.tests.transforms.invertible.test_coupling) TestInvertibleTransform (class in zhusuan.tests.transforms.base) TestScaling (class in zhusuan.tests.transforms.invertible.test_scaling) TestSequential (class in zhusuan.tests.transforms.test_sequential) Transform (class in zhusuan.transforms.base)

Z

zhusuan.distributions module zhusuan.distributions.base module zhusuan.distributions.bernoulli module zhusuan.distributions.logistic module zhusuan.distributions.normal module zhusuan.flows module zhusuan.flows.flow module zhusuan.framework module zhusuan.framework.bn module zhusuan.framework.stochastic_tensor module zhusuan.mcmc module zhusuan.mcmc.SGLD module zhusuan.mcmc.SGMCMC module zhusuan.tests module zhusuan.tests.transforms module

zhusuan.tests.transforms.base module zhusuan.tests.transforms.invertible module zhusuan.tests.transforms.invertible.test_coupling module zhusuan.tests.transforms.invertible.test_scaling module zhusuan.tests.transforms.test_sequential module zhusuan.transforms module zhusuan.transforms.base module zhusuan.transforms.invertible module zhusuan.transforms.invertible.base module zhusuan.transforms.invertible.coupling module zhusuan.transforms.invertible.scaling module zhusuan.transforms.sequential module zhusuan.variational module zhusuan.variational.elbo module