def transformed_model_with_observed():
norm = yield dist.HalfNormal("n",
1,
transform=dist.transforms.Log(),
observed=1.0)
return norm
def nested_model(cond):
norm = yield dist.HalfNormal("n",
cond**2,
observed=np.ones(10),
transform=dist.transforms.Log())
return norm
def transformed_model():
norm = yield dist.HalfNormal("n", 1, transform=dist.transforms.Log())
return norm
def nested_model(cond):
norm = yield dist.HalfNormal("n",
cond**2,
transform=dist.transforms.Log())
return norm
