It’s my first time writing pyro and i am having some issue about the loss returning nan. Hi, i am new to pyro. This is my first time using pyro so i am very excited to see what i can built with it.🙂 specifically, i am trying to do finite dirichlet process clustering with variational inference.
So that’s why she’s been so quiet lately r/holleygabriellesnark
Pyro.sample, uses a stochastic function (such as a pyro distribution) to initiate the parameter store and the trace (graph structure that denotes the relationships of the pyro primitives,. Can anyone help me to transform it to random_module pyro? I am having a hard.
The model that i am implementing is as follows:
I’ve discussed a bit with fellow scientists that argued about rhat not being usable in the case of ensemble samplers due to the intrinsic correlation between the walkers. I used a probit model to compute something and now i want to calculate the waic and the log likelihood for this case. For horseshoe prior, you can see some. You’re welcome to follow or contribute to.
I was thinking of using arviz for this however when comparing it. To try it i wanted to train a cnn module using bayesian inference using pyro.
