Examples: query, "exact match", wildcard*, wild?ard, wild*rd
Fuzzy search: cake~ (finds cakes, bake)
Term boost: "red velvet"^4, chocolate^2
Field grouping: tags:(+work -"fun-stuff")
Escaping: Escape characters +-&|!(){}[]^"~*?:\ with \, e.g. \+
Range search: properties.timestamp:[1587729413488 TO *] (inclusive), properties.title:{A TO Z}(excluding A and Z)
Combinations: chocolate AND vanilla, chocolate OR vanilla, (chocolate OR vanilla) NOT "vanilla pudding"
Field search: properties.title:"The Title" AND text
Answered
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

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?

  
  
Posted one year ago
Votes Newest

Answers


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?

  
  
Posted one year ago