def exact_bayesian():
'''
bayesian_inference
'''
A = Factor(name='A',
values=[0, 1],
cpd=[0.5, 0.5])
B = Factor(name='B',
values=[0, 1],
cpd=[0.5, 0.5])
C = Factor(name='C|A,B',
values=[0, 1],
cond=[A, B],
cpd=[1, 0, 1, 0, 1, 0, 0, 1])
print C.query(query=[A], evidence={C: 0, B: 0})
def bayesian_inference():
'''
bayesian_inference
'''
A = Factor(name='A',
values=[0, 1],
cpd=[0.6, 0.4])
B = Factor(name='B',
values=[0, 1],
cpd=[0.7, 0.3])
C = Factor(name='C',
values=[0, 1],
cond=[A, B],
cpd=[0.7, 0.3, 0.9, 0.1, 0.8, 0.2, 0.6, 0.4])
print C
print C.joint().marginal(B.var[-1]).reduce(var=C.var[-1], value=0)._norm()
print C.query([A], {C: 0})
print C.query([A], [C])