WhimsicalLion91

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?

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:
https://github.com/allegroai/trains/blob/master/examples/reporting/scalar_reporting.py

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.

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

Yup. Thanks