Great - Thx TimelyPenguin76 for your input

Hi OutrageousSheep60 , I think the connect_configuration is your solution for this one (or connect)

Thx CostlyOstrich36 for your input -
So I guess that if we try to always work with https://clear.ml/docs/latest/docs/fundamentals/hyperparameters (even if there is only have 1 parameter), we will consistently log our parameters.
Do you have a suggested different workflow?

Not one known to me, also, it's a good practice to implement (Think of automation) 🙂

Hi, it does not log the internal sklearn configuration, that is correct.
I think the problem is finding a standard way to allow you both log and change it later from the UI. But I think you can still connect it directly as a configuration and that should work 🙂