You are using an Azure Machine Learning workspace to tune model hyperparameters with a sweep job. You need to select a sampling method that supports both early termination for low-performance jobs and continuous hyperparameters.

You propose the following solution: Use the Sobol sampling method over the hyperparameter space.

Does this solution meet the goal?