def simple_model():
norm = yield dist.Normal("n", 0, 1)
return norm
def complex_model():
norm = yield dist.Normal("n", 0, 1)
result = yield nested_model(norm, name="a")
return result
def model():
yield None
yield dist.Normal("n", 0, 1)
def model():
yield dist.Normal("n1", np.zeros(10), np.ones(10))
yield dist.Normal("n2", np.zeros(3), np.ones(3))
def model():
norm = yield dist.Normal("norm", 0, 1)
abs_norm = yield dist.Deterministic("abs_norm", tf.abs(norm))
sine_norm = yield dist.Deterministic("sine_norm", tf.sin(norm))
norm_copy = yield dist.Deterministic("norm_copy", norm)
obs = yield dist.Normal("obs", 0, abs_norm)