SmugDolphin23 Hi. Do you know how to use some parameter of config.yaml file for hyperparameter optimization, like we do with args using DicreteParameterRange etc?

Oh yes! I was not using the return value, but rather the path to file. Thanks a lot

Hi PetiteRabbit11 . This snippet works for me:
` from clearml import Task
from pathlib2 import Path

t = Task.init()
config = t.connect_configuration(Path("config.yml"))
print(open(config).read()) Note the you need to use the return value of connect_configuration ` when you open the configuration file

If i edit this yaml file and run the task again, the change is not reflected in the code

I am viewing a yaml file in clearML UI under configuration objects using task.connect_configuration

Hi PetiteRabbit11 , can you please elaborate on what you mean?