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10 × Eureka!Hi @<1523701070390366208:profile|CostlyOstrich36> - unfortunately not something that I can easily share I am afraid. I am using the hosted solution btw and I really believe I am just logging way too often, I think about once a second for some 12 hours..
Yes, early in the experiment everything seems fine, then updating begins lagging and coming in chucks before not updating at all anymore
@<1523701205467926528:profile|AgitatedDove14> I run the experiments manually for now. It does seem I found the cause of the behaviour, though: I am instantiating an object from my own "tracker" class in my main method that holds from the clearml Task object that actually does the logging. I am doing the instantiation from my configuration via hydra.utils.instantiate
method. So that means import clearml
was not executed before already in my main method annotated with hydra.main
:
...
Are there plans of implementing a simple feature to ignore outliers in scalar plots?
Here is a plot that is not readable because of outliers. I will usually just use log-scale on the y axis, and that works fine in most cases, but sometimes you do not want to mess with the scale and just automatically zoom in on the 'typical' range of the data.

Hi @<1523701205467926528:profile|AgitatedDove14> - thanks a lot for the input, I will have a look at the API
btw: is self hosted server cheaper than the 15$ a month hosted service, or is it just a convenience
ClearML is quite cheap for sure, but our monthly runs to something like 200$ (we have 4 users and some 14GB of metrics store that we want to maintain). The main point for us is that we do not use ClearML on a daily basis. It is maybe 6 months since we last used it and we are p...
FYI @<1523701070390366208:profile|CostlyOstrich36> after a quick search it seems there is already a request for this 🙂 None