Also, is the Pro plan autoscaling option the only way to run clearml in the cloud without having a dedicated VM that’s running all the time?
Ok awesome, that’s good to know. Thanks!
Ok, that’s good to know. So with the autoscaler, can you also define what types of machines you need, for example GPU/No GPU, storage size, memory, etc?
So, if I’m understanding right, you can see the output artifacts visualized, which I think is just the return value from the function, but you can’t visualize the input to the function? You’d just have to go back and view the output from the previous?
For example, on step 2 I’m just seeing data_frame under configuration, and it says Type: str and nothing else. Is that right?
And I’m looking at the Configuration and Artifacts tab, for context. Is that the right place to look for function inputs and outputs?