Index

_

_get_C_binary() (Cpt method)

A

AdaptConfig (built-in class)

AnalysisSpec (class in tbnpy.spec)

B

bounds (tbnpy.spec.VariableSpec attribute) build_Cs_3d() built-in function build_factors_by_var() built-in function built-in function build_Cs_3d() build_factors_by_var() factor_logp_2d() get_ancestor_order() get_names() is_continuous() is_discrete() num_categories() propose_continuous_rw_gaussian() propose_discrete_adaptive() sample() sample_evidence() sample_evidence_v0()

C

C (Cpt attribute) check_evidence() (in module tbnpy.diagnostics) check_model() (in module tbnpy.probability) child_names (tbnpy.spec.CustomNode property) (tbnpy.spec.NodeSpec property)

compile_file() (in module tbnpy.compile) compile_model() (in module tbnpy.compile) CompileError Cpt (built-in class) CustomNode (class in tbnpy.spec)

D

describe() (in module tbnpy.probability) DiscreteCptNode (class in tbnpy.spec)

DiscretiseNode (class in tbnpy.spec) DistributionNode (class in tbnpy.spec) domain() (in module tbnpy.probability)

E

effective_sample_size() (in module tbnpy.diagnostics) EquationNode (class in tbnpy.spec) evidence (Cpt attribute) EvidenceIssue (class in tbnpy.diagnostics)

expand_and_check_compatibility() (Cpt method) expand_and_check_compatibility_all() (Cpt method) Expression (class in tbnpy.expr) ExpressionError

F

factor_logp_2d() built-in function FAMILIES (in module tbnpy.compile)

form() (tbnpy.probability.Probability method) form_details() (tbnpy.probability.Probability method) forward_sample_all() (in module tbnpy.diagnostics) FUNCTION_NAMES (in module tbnpy.expr)

G

get_ancestor_order() built-in function get_names() built-in function

get_set() (Variable method) get_state() (Variable method) get_state_from_vector() (Variable method)

H

has_numeric_states (tbnpy.spec.VariableSpec property)

HybridAdaptiveMH (built-in class)

I

init_state_from_forward_samples() (HybridAdaptiveMH method) init_state_random() (HybridAdaptiveMH method) is_continuous() built-in function

is_degenerate() (tbnpy.diagnostics.PosteriorResult method) is_discrete() built-in function is_probability() (in module tbnpy.probability)

K

kind (tbnpy.expr.NameSpec attribute) (tbnpy.spec.VariableSpec attribute)

L

load_spec() (in module tbnpy.spec)

log_prob() (Cpt method) log_prob_evidence() (Cpt method)

M

metadata (tbnpy.spec.NodeSpec attribute) mh_update_block() (HybridAdaptiveMH method) ModelCheck (class in tbnpy.probability) ModelError (class in tbnpy.probability) ModelIssue (class in tbnpy.probability)

ModelSpec (class in tbnpy.spec) module tbnpy.compile tbnpy.diagnostics tbnpy.expr tbnpy.spec

N

n_states (tbnpy.expr.NameSpec attribute) name (Variable attribute) NameSpec (class in tbnpy.expr)

NodeSpec (class in tbnpy.spec) num_categories() built-in function

O

ok (tbnpy.probability.ModelCheck property)

options (tbnpy.spec.AnalysisSpec attribute)

P

p (Cpt attribute) plot_report() (in module tbnpy.diagnostics) pmf() (tbnpy.diagnostics.PosteriorResult method) posterior() (in module tbnpy.diagnostics) PosteriorResult (class in tbnpy.diagnostics)

Probability (class in tbnpy.probability) propose_continuous_rw_gaussian() built-in function propose_discrete_adaptive() built-in function

R

run() (HybridAdaptiveMH method)

run_sense_check() (in module tbnpy.diagnostics)

S

sample() built-in function sample() (Cpt method) sample_evidence() built-in function sample_evidence() (Cpt method) sample_evidence_v0() built-in function

save_spec() (in module tbnpy.spec) SenseCheckReport (class in tbnpy.diagnostics) SpecError statement() (in module tbnpy.probability) states (tbnpy.spec.VariableSpec attribute) summary() (tbnpy.diagnostics.PosteriorResult method) support (tbnpy.spec.VariableSpec attribute)

T

tbnpy.compile module tbnpy.diagnostics module

tbnpy.expr module tbnpy.spec module topological_order() (tbnpy.spec.ModelSpec method)

V

validate() (tbnpy.spec.ModelSpec method) validate_against() (tbnpy.spec.DiscreteCptNode method) (tbnpy.spec.DiscretiseNode method) (tbnpy.spec.NodeSpec method)

values (Variable attribute) Variable (built-in class) VariableSpec (class in tbnpy.spec)

W

weighted_quantile() (in module tbnpy.diagnostics)