Comments (1)
Done at acdb636
with inf.ProbModel() as m:
y = inf.models.Categorical(probs=[0.4,0.6], name="y")
x = inf.models.Categorical(probs=inf.case({y.equal(0): [0.0, 1.0],
y.equal(1): [1.0, 0.0] }), name="x")
m.sample()
with inf.ProbModel() as m2:
a = inf.models.Normal(0,1, name="a")
b = inf.models.Categorical(probs=inf.case({a>0: [0.0, 1.0],
a<=0: [1.0, 0.0]}), name="b")
m2.sample()
with inf.ProbModel() as m3:
d = inf.models.Categorical(probs=[0.4,0.6], name="d")
c = inf.models.Normal(loc=inf.case({d.equal(0): 0.,
d.equal(1): 100.}), scale=1., name="c")
m3.sample()
from inferpy.
Related Issues (20)
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