Hey folks,
My team is currently utilizing weights and biases for experiment metric tracking etc. Is there some resource material that can help me/my team to transition from wandb to ClearML's experiment tracking? As you can imagine, wandb's tracking code would be present across the code modules and I was hoping for a structured approach that would help me transition to ClearMLs experiment tracking. Or do you recommend an approach where we continue to utilize wandb's APIs but report some of the plots/events etc at the end to ClearML as a scalar/plot?
Hi SlimyElephant79
As you can imagine, wandb's tracking code would be present across the code modules and I was hoping for a structured approach that would help me transition to ClearMLs experiment tracking.
Do you guys a have a layer in between that does the reporting, or is the codebase riddled with direct reporting calls ? if the latter, then I guess search and replace ? or maybe a module that "converts" wandb call to clearml call ? wdyt?
