Concerning how to use ParameterSet :
I first declare the set
my_param_set = ParameterSet([ {'General/batch_size': 32, 'General/epochs': 30}, {'General/batch_size': 64, 'General/epochs': 20}, {'General/batch_size': 128, 'General/epochs': 10} ])This is a very basic example, it is also possible to use more complex things into the set (see https://clear.ml/docs/latest/docs/references/sdk/hpo_parameters_parameterset/ for UniformParameter Range usage in ParameterSet).

Then i do as you did 🙂
`

optimizer = HyperParameterOptimizer(
# specifying the task to be optimized, task must be in system already so it can be cloned
base_task_id=args['template_task_id'],
# setting the hyper-parameters to optimize
hyper_parameters=[
my_param_set,
], `
If you need something more complete/complex, do not hesitate to ask 🙂 I kept simple here because you already do it fine

ps. concerning the warning, i am going to enquire, and will keep you updated