I am looking at a place where I’m getting a bad initial energy, and I have found the term (thanks to everyone for the trick of looking at the BasicRVs).

There’s a node (`InverseGamma`

, the variance of a population that I observe), that has what looks like a normal value as observation (it’s about 0.56, which is reasonable), but that has a `-inf`

energy.

The model is generated semi-automatically, so I have looked into all the RVs’ distributions, which so far look reasonable. But when I look at the critical random variable’s distribution, all I see is this:

```
model['sigma_Input00 replicate 0'].distribution.alpha
Out[21]: Elemwise{true_div,no_inplace}.0
```

Is there any way to print this more readably so that I can tell if something bad is happening here? I’ve parameterized these variables using means and standard deviations, instead of the standard alpha and beta,