@<1545216070686609408:profile|EnthusiasticCow4> yes, that's true. I would aggregate the tasks by tags (the steps will be tagged with opt: ID ), None then get the metrics to get the losses None , and look into the tasks config to get the term you wanted to optimize None , then plot everything

Maybe you want to use some other functions then the ones I quoted, so feel free to read the docs, you should be able to do this

Hi @<1545216070686609408:profile|EnthusiasticCow4> ! Can't you just get the values of the hyperparameters and the losses, then plot them with something like mathplotlib then just report the plot to ClearML?

I see, that could work.

Hi Again Eugen,

If I use the hyperparameter tool in ClearML, won't that create a different experiment for every step of the hyperparameter-optimizer? So this will be run across experiments. I could do something with pipelines but since the metrics are already available in the ClearML hyperparameter/metric tables I thought it would make sense to be able to plot against those values.