Pm.sample_ppc breaks with AttributeError

That notebook is where I started. Austin has a real valued prediction (normal mixture of real values). I have a discrete integer valued prediction - that’s why I took a Mixture of poissons and then the mode().
The challenges I ran into along the way were:

  • discrete mixtures (for x1)
  • bounded discrete mixtures (for x1)
  • dependent bounded discrete mixtures (for x2)
  • non-convergence (with Metropolis)
  • ppc errors

I am waiting for a test run with 50 samples