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Hi, Is There Any Approach To Record Some Experiment Metric (E.G., Accuracy) And Display In The Experiment Table So I Can Compare The Metric Among Different Experiments? The Approach I Found Is

Hi,
Is there any approach to record some experiment metric (e.g., accuracy) and display in the experiment table so I can compare the metric among different experiments?
The approach I found is https://clear.ml/docs/latest/docs/webapp/webapp_exp_table/#adding-metrics-and--or-hyperparameters . It's to log the accuracy via logger.report_scalar , but it has x y axis, not so fit accuracy .

  
  
Posted 2 years ago
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hi ScaryBluewhale66
Can please elaborate, i am not sure that i get your question ? What do you need to compare ?

  
  
Posted 2 years ago

I see! Thanks AnxiousSeal95 and SweetBadger76 !

I have another related questions. Are the items in + metric I can select only the items in Results -> Scalars .

  
  
Posted 2 years ago

Yes, any need for anything else?

  
  
Posted 2 years ago

Hi SweetBadger76
For example, I want to compare accuracy (the metrics I'm interested) among different experiments. This metrics isn't automatically recorded by ClearML so I want to manually record it.
I've found a workaround to achieve it (as mentioned in the original message), but I'm still wondering if there is any suggestion except using logger.report_scalar ?

  
  
Posted 2 years ago

Hi ScaryBluewhale66 , I believe the new server that's about the be released soon (this \ next week), we'll allow you to report a "single value metric". so if you want to report just a number per experiment you can, then you can also compare between runs.

  
  
Posted 2 years ago

report_scalar pernits to manually report a scalar series. This is the dedicated function. There could be other ways to report a scalar, for example through tensorboard - in this case you would have to report to tensorboard, and clearML will automatically report the values

  
  
Posted 2 years ago

report_scalar() with a constant iteration, is a hack that you can use in the meantime 🙂

  
  
Posted 2 years ago
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