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:
TheÂ
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:
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 😞
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?
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
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 `