Index

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__init__() (pyjuice.nodes.CircuitNodes method) (pyjuice.nodes.distributions.Bernoulli method) (pyjuice.nodes.distributions.Categorical method) (pyjuice.nodes.distributions.DiscreteLogistic method) (pyjuice.nodes.distributions.External method) (pyjuice.nodes.distributions.ExternProductCategorical method) (pyjuice.nodes.distributions.Gaussian method) (pyjuice.nodes.distributions.Indicator method) (pyjuice.nodes.distributions.Literal method) (pyjuice.nodes.distributions.MaskedCategorical method) (pyjuice.nodes.distributions.SoftEvidenceCategorical method) (pyjuice.nodes.distributions.SoftEvidenceIndicator method) (pyjuice.nodes.InputNodes method) (pyjuice.nodes.ProdNodes method) (pyjuice.nodes.SumNodes method) (pyjuice.set_block_size method) (pyjuice.structural_properties method)

B

backward() (pyjuice.TensorCircuit method) Bernoulli (class in pyjuice.nodes.distributions)

blockify() (in module pyjuice) bump_block_size() (in module pyjuice.transformations)

C

Categorical (class in pyjuice.nodes.distributions) CircuitNodes (class in pyjuice.nodes) CircuitOptimizer (class in pyjuice.optim)

CircuitScheduler (class in pyjuice.optim) compile() (in module pyjuice) conditional() (in module pyjuice.queries) cumulate_flows() (pyjuice.TensorCircuit method)

D

deepcopy() (in module pyjuice)

disable_partial_evaluation() (pyjuice.TensorCircuit method) DiscreteLogistic (class in pyjuice.nodes.distributions)

E

enable_partial_evaluation() (pyjuice.TensorCircuit method)

External (class in pyjuice.nodes.distributions) ExternProductCategorical (class in pyjuice.nodes.distributions)

F

foldup_aggregate() (in module pyjuice.nodes)

foreach() (in module pyjuice.nodes) forward() (pyjuice.TensorCircuit method)

G

Gaussian (class in pyjuice.nodes.distributions) GeneralizedHMM() (in module pyjuice.structures) get_node_flows() (pyjuice.TensorCircuit method)

get_node_mars() (pyjuice.TensorCircuit method) get_node_param_flows() (pyjuice.TensorCircuit method) get_node_params() (pyjuice.TensorCircuit method) grow() (in module pyjuice.transformations)

H

HCLT() (in module pyjuice.structures)

HMM() (in module pyjuice.structures)

I

Indicator (class in pyjuice.nodes.distributions) init_param_flows() (pyjuice.TensorCircuit method)

InputNodes (class in pyjuice.nodes) inputs() (in module pyjuice)

L

Literal (class in pyjuice.nodes.distributions)

load() (in module pyjuice) load_state_dict() (pyjuice.optim.CircuitOptimizer method)

M

marginal() (in module pyjuice.queries) MaskedCategorical (class in pyjuice.nodes.distributions)

merge() (in module pyjuice) mini_batch_em() (pyjuice.TensorCircuit method) multiply() (in module pyjuice)

P

PD() (in module pyjuice.structures) PDHCLT() (in module pyjuice.structures)

print_statistics() (pyjuice.TensorCircuit method) ProdNodes (class in pyjuice.nodes) prune_by_score() (in module pyjuice.transformations)

Q

query() (in module pyjuice.queries)

R

RAT_SPN() (in module pyjuice.structures)

S

sample() (in module pyjuice.queries) save() (in module pyjuice) set_block_size (class in pyjuice) set_propagation_alg() (pyjuice.TensorCircuit method) SoftEvidenceCategorical (class in pyjuice.nodes.distributions) SoftEvidenceIndicator (class in pyjuice.nodes.distributions)

state_dict() (pyjuice.optim.CircuitOptimizer method) step() (pyjuice.optim.CircuitOptimizer method) (pyjuice.optim.CircuitScheduler method) structural_properties (class in pyjuice) summate() (in module pyjuice) SumNodes (class in pyjuice.nodes)

T

TensorCircuit (class in pyjuice)

U

unblockify() (in module pyjuice)

update_param_flows() (pyjuice.TensorCircuit method) update_parameters() (pyjuice.TensorCircuit method)

Z

zero_grad() (pyjuice.optim.CircuitOptimizer method)

zero_param_flows() (pyjuice.TensorCircuit method)