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

Yup. Thanks

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.

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?