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Hi All. I Am Wondering How People Tend To Use Clearml With Cross-Validation. Do You Tend To Create Separate Experiments For Each Fold? And If So, Would You Then Create Another Experiment For The Aggregated Results?


One thought is to initialise a new clearML task in each fold to capture the iteration-level metrics, and then create another task/experiment at the end to capture the aggregated metrics across folds.

That is probably the easiest, and the most scalable.
BTW: with the mew reporting feature, you can integrate the comparison of the CV directly into your final report 🙂

  
  
Posted one year ago
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one year ago
one year ago