Yeah, that makes sense. The only drawback is that you'll get a single point that all lines will go through in the Parallel Coordinates plot when the optimization finishes 🙂

Hi GiganticMole91 ,

Can you please elaborate on what are you trying to do exactly?

Doesn't HyperParameterOptimizer change parameters out of the box?

Hi GiganticMole91 . You could use something like
` from clearml.automation import DiscreteParameterRange

HyperParameterOptimizer(
...,
hyper_parameters=[DiscreteParameterRange("epochs", values=[100]), ...] # epochs is static, ... represent the other params
) to get the same behaviour --params-override ` provides

Hi CostlyOstrich36
I have created a base task on which I'm optimizing hyperparameters. With clearml-param-search I could use --params-override to set a static parameter, which should not be optimized, e.g. changing the number of epochs for all experiments. It seems to me that this capability is not present in HyperParameterOptimizer . Does that make sense?

From the example on https://clear.ml/docs/latest/docs/apps/clearml_param_search/ :
clearml-param-search {...} --params-override '{"name": "epochs", "value": 30}'