LethalDolphin75 Yes you are correct, we should add here:
https://github.com/allegroai/clearml/blob/400c6ec103d9f2193694c54d7491bb1a74bbe8e8/clearml/automation/optuna/optuna.py#L210
elif isinstance(p, UniformLogarithmicParameterRange): hp_type = 'suggest_float' hp_params = dict(low=p.min_value, high=p.max_value if p.include_max else p.max_value - p.step_size, log=True, step=p.step_size)btw: I'm not sure if the min/max values should be before or after log (i.e. low=log(p.min_value) or low=p.min_value )