Yes thanks, I know during experiments, but was hoping for something to distinguish model outputs and logging from experiments to when we want to actually publish the model in a registry as the final model.

Yes, I've figured that out too - it's just that the ClearML docs don't explicitly mention a "Model Registry" or process anywhere, as with other platforms, so it's a bit opaque and rather you figure it out by using the experiments and different functionality for tasks and put it together in your own process for a model registry. We almost didn't go with ClearML because of this, but then I suggested some steps, as you've mentioned above to help distinguish experiment tracking from a more formal...

Yes, I'm not getting very clear answers and/or can;t find anything in the documentation - there isn't a specific process for using ClearML as a model registry it seems - you just use the OutputModel class and choose your storage location...

Hi there, I came across this post whilst searching in slack about using ClearML as a model registry - do you have any documentation or examples of this? I still can't find anything in the ClearML docs specifically about a model registry. The closest is the OutputModel class I think?