David Merrell

And 1.12.0 today. It seems like newcomers should learn TensorFlow Probability/Edward2 rather than Edward 1, even though there's no mention of it on the Edward website.

What do people think about using an unconstrained parameterization? The unconstrained parameter may be less intuitive, but probably more practical for gradient-based inference techniques.

Piling on here... A lot of people work in environments where they share servers with other people. A 1-core default is the safe behavior. If the user wants more cores...

> I think this is one of those age-old divides in the computing community that is unsolvable. Some tools implicitly take all cores available, others use only 1 - some...

*ahem* can anyone name a (widely used) tool that implicitly takes all cores, **where that's a good design choice?**