Tomás Capretto

> Oh right, yes: `bayeux` has no concept of the dimensions from `pymc`. That would have to be implemented as a post-processing step to rename the `arviz` dimensions. Thanks for...

> @ColCarroll thanks for the information. > > @tomicapretto I can apply this post processing step on Bambi's side. Sounds great, just let me know if you need help or...

> @tomicapretto should we allow optimization methods? I think it is really cool but `model.predict` will not work out of the box as optimization methods return `OptimizerResults` and not an...

@GStechschulte I think this is a great addition and the PR is in great shape. Just want to know your opinion on my suggestion about handing, for now, the old...

This is not a duplicate. And thanks for raising the issue! I don't have a solution in my mind right now. Let's keep it open until we improve it.

You're right, the scale of sigma comes from the data. It's inversely proportional to the standard deviation of the predictor. My initial reaction is to think applying the log-link function...

Hi @omrihar, I'm not working on this aspect of Bambi right now. But if you want to give it a try, here I have some directions. **Everything** related to prior...

This was created because someone once offered to write content for the FAQ, but that never happened. And we never wrote it either. We could remove it if there's nobody...

Thanks @abuzarmahmood and @YuvrajSinghJadon for the initiative! And thanks Ravin for answering! Following Ravin's comment, I think you could start with a list of questions that you have about the...

This is definitely a very interesting discussion, and congrats for the library you wrote. Saving and loading Bambi models and its associated data is one thing we definitely need to...