Jacob Schreiber

Sounds good. Thanks for all your quick responses.

Would it be possible to get a confirmation that this is, indeed, a bug, and not a misunderstanding of the code? Thanks!

I haven't checked whether the structure of your network is fine but the gist with PyTorch is that it has a relatively high startup cost for each operation due to...

In theory, you can avoid calculating the posterior for some variables if they are not in the Markov blanket of the ones you care about. Basically, if variable A could...

Sorry that it's too slow for your applications. For networks that have small tables, where not much batching of operations can be done, I agree that other CPU-based implementations may...

Hi @mikimiky I don't think that HMMs are usually used for forecasting like this. Rather, their aim is to assign discrete state labels to an observed time series. Your strategy...

Howdy Sorry you're encountering an issue. This looks like an import issue with scipy, not with pomegranate. I know that sometimes scipy has these difficult-to-understand import issues. I'm not sure...

Howdy. Sorry for the delay in getting back to you. Unfortunately, without an example it can be difficult for me to look deeper into the issue. I imagine that there...

Howdy Yeah, sorry, time-dependent HMMs are super cool but aren't currently supported. If you have a resource for how they're implemented I'd love to take a look to confirm my...

The short answer is you'd probably need to make a new class in either situation but that potentially the modifications would be minimal. If these covariates linearly modify the log...