Nipun Batra

This would be useful especially for scientific visualizations for academic submissions. I would vote for inclusion only in the larger app (with scipy) to keep the other one lean.

@nalzok @patel-zeel Would it be useful to store the model (if not huge size?). Then, perhaps we will train only if the stored model does not exist? Of course this...

I agree that it may not be worth the effort to put D2L notebooks on the workflow as they are indeed very specialised. Whitelisting them from the workflow and manually...

@jheer Many thanks for the detailed explanation. I was highly ignorant on how much effort this would require!

Thanks, my PhD student @patel-zeel will submit a PR on this soon along with an example showing the difference between the Normal and Student-T likelihood.

I think another thing to potentially consider while addressing this issue could be LaTeX support in renders. I believe Graphviz doesn't support, but Daft-PGM does. An older issue https://github.com/pyro-ppl/pyro/issues/2980 mentioned...

You may want to print the output of the following ```python In [2]: import pyro In [3]: pyro.__version__ Out[3]: '1.8.0' ```

Hi @fritzo Thanks. I have added a long-ish notebook [here](https://github.com/nipunbatra/pyro-test/blob/master/ppca.ipynb) As you might notice, this will need some inputs from you especially on - some shape related confusions - best...

I had the same concerns. I was thinking of NOT adding this to unit test, but maybe a cron job on local machine/server which may run once every 24 hours.

Ideally such a benchmarking tool should be able to create a report: 1. time taken for each function 2. which function failed on which dataset on which building