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

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?

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

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

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