Hi,
I have been testing ClearML and checking if it is a good fit for the use case that I have in hand. everything is quite good so far but I have a question regarding models in ClearML .... is there any model versioning introduced??
for example: if I trained a model using scripts training.py and dataset D1 and gave the model a name which is model_1 if I retrain the model using the same script training.py and the same dataset D1 and decide to re-upload it again under the same name will it be another version of model_1 or it will be something not related to the first uploaded model model_1 ??
thanks 🙂
Thanks for your quick answer will check it and will let you know if I have more questions 🙂
Hi @<1729309137944186880:profile|GrittyBee73> , models are unique objects in the system so each one of them has a unique ID. By default they will be named the same. However, you can add versioning on top in any way that you want. You can either add tags or even add metadata on top of them and then add custom columns according to this metadata so you can filter by versions.
What do you think?
