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Hi All, A Newbie Question: How Can I Store Single Value Results Per Experiment That Will Appear As Metrics I Can Select In The Experiments Tables Columns. My Reference Is The "Tracking Leaderboards" Tutorial.

Hi all, A newbie question: How can I store single value results per experiment that will appear as metrics I can select in the experiments tables columns. My reference is the "tracking leaderboards" tutorial. https://allegro.ai/docs/tutorials/tutorial_building_leader_board/
Is Logger. report_scalar the method to use?

Posted 3 years ago
Votes Newest

Answers 5


What would you say the use case for running an experiment with iterations

That could be loss value per iteration, or accuracy per epoch (iteration is just a name for the x-axis in a sense , this is equivalent to time series)
Make sense?

Posted 3 years ago

Yup. Thanks

Posted 3 years ago

Worked. Thanks. What would you say the use case for running an experiment with iterations? I see that per metrics I send using the report_scalar() it will show me the value of the last iteration in the experiment table.

Posted 3 years ago

Notice that if you are using TB, everything you report to the TB will appear as well 🙂

Posted 3 years ago

Hi WhimsicalLion91
You can always explicitly send a value:
from trains import Logger Logger.current_logger().report_scalar("title", "series", iteration=0, value=1337)A full example can be found here:

Posted 3 years ago
5 Answers
3 years ago
one year ago