Of course Im using report_table in the above; it seems the support for Pandas DataFrame does not include support for MultiIndex other than by concatenating the indices together

That's fine (as in, it works), but it looks a bit weird and defies the purpose of a MultiIndex 🤔 Was wondering if there are plans to add better support for it

One more UI question TimelyPenguin76 , if I may -- it seems one cannot simply report single integers. The report_scalar feature creates a plot of a single data point (or single iteration).
For example if I want to report a scalar "final MAE" for easier comparison, it's kinda impossible 😞

Hi UnevenDolphin73 , How did you report it? Logger.report_table supports
` - Pandas DataFrame or Table as list of rows (list)

• CSV file
• URL to CSV file `

I mean, it makes sense to have it in a time-series plot when one is logging iterations and such. But that's not always the case... Anyway I opened an issue about that too! 🙂

It's a bit hard to read when they'll all clustered together:

The 

report_scalar

 feature creates a plot of a single data point (or single iteration).

UnevenDolphin73 thats how I would use it. with it you can compare between tasks and compare the results. You can also add it to the project view and filter with it too:

Indeed. I'll open an issue, sure!

So something like https://github.com/allegroai/clearml/blob/master/examples/reporting/pandas_reporting.py#L28 but multi index?

Was wondering if there are plans to add better support for it

Not currently, can you add a https://github.com/allegroai/clearml/issues/new so we do not forget to add such?