ugh too bad. I changed the name of one of my metrics and now It's difficult to compare. It would help if it was possible (even by renaming metrics)

I need to group images in a similiar way to what is done by iteration , but based on a string value which will be visible in the UI

because series in already used. Think of something like showing debug images based on 2 independent parameters for the model

Thanks for the awesome work!!!
Is the trains-server release backwards-compatible with earlier versions of trains?

thanks! so basically for experiments that are already finished I have no way to compare ATM, right?

server version is 0.14.0

yeah. something like that

yeah that could work 🙂

👍 great!

The iteration in my use case doesn't make much sense (I'm evaluation a model)

ok. thank you 🙂

tensorboard automagic 😉

right now the situation is problematic, because as I mentioned, I can't compare the training process between different batch sizes (or effective batch size, if I use a different number of GPUs)

I doesn't really matter to me. One solution I had in mind is that this can be done by the web client on demand, meaning you can manually (or using the Task object) specify how many iteration constitute a single epoch, and instead of scaling the plots will just be subsampled (or interpolated)