Task cloning is also useful for many other things:
Basically if you want to change only one/several aspects of the task but leave the rest of the framework in your experiment the same.
You can use it for transfer learning, for example
You can use it for simple HPO - or use our example for more sophisticated HPO.
The premise of the system is that it creates an abstraction layer, so you can change anything from the UI without going back to the code.
Makes sense?

🙏 ❤

SweetGiraffe8 Don't think of the UI as the list of running (or to be run) experiments. For that you have the Workers & Queues screen. These are all the jobs on the queues which will be run by the clearml-agent
Best practice is to run all your experiments using the clearml-agent