blob: cad07aa1e022d3dbb6b3c8f568d9f38aff06c1c8 (
plain) (
blame)
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
|
"""Utilities for working with models and random variables."""
def get_reachable_observed_variables_for_inferred_variables(model, observed=set()):
"""
After performing inference on a BayesianModel, get the labels of observed variables
("reachable observed variables") that influenced the beliefs of variables inferred
to be in a definite state.
Args
model: instance of BayesianModel class or subclass
observed: set,
set of labels (strings) corresponding to variables pinned to a definite
state during inference.
Returns
dict,
key, value pairs {source_label_id: reachable_observed_vars}, where
source_label_id is an int or string, and reachable_observed_vars is a list
of label_ids
"""
if not observed:
return {}
source_vars = model.get_unobserved_variables_in_definite_state(observed)
return {var: model.reachable_observed_variables(var, observed) for var in source_vars}
|
