Ben Letham

@BrunoQin sorry for the slow reply, I hadn't noticed the issue until now. The problem that you're running into is a bug that I fixed here: https://github.com/facebook/Ax/commit/a87a72d32e978775e21b13fbf23da5f1e625b10e. If you install...

@ksehic It looks like in recent versions of torch there is a warning as you note about accessing the .grad of a non-leaf tensor. I'm not sure where this is...

Thanks for the heads up!

I worked on this a bit for #170 and didn't make it very far. Help here is greatly appreciated :-) We may need an upstream change.

@randlet thanks for posting this, this is really great and should be immediately useful to people. I'm not sure about the license thing. I think I'm inclined to just leave...

Those messages can be disabled by setting the logging level for fbprophet to something above INFO: ``` import logging logging.getLogger('fbprophet').setLevel(logging.WARNING) ``` The reason for them is to avoid a scenario...

The upstream issue in Stan is still open, there is nothing in the later version of prophet to fix this. I was hoping for an upstream fix to avoid having...

Does it work if you run it with `parallel` set to `None` or to `'threads'`? It's really hard to debug issues with parallel processing. The key part of the error...

I guess the workaround is probably to use `threads`, I haven't run into this myself in Linux and I probably won't be able to debug the issue.

@nviet I just saw #1889 that seems like it might be related. A solution presented there was to do ``` import multiprocessing multiprocessing.set_start_method("fork") ``` prior to importing prophet. Could you...