Hi Dears, I need to set up an automated Sagemaker hyperparameter tuning job using the lambda function on a daily basis, Can you provide me a sample of a config file that works with the Random Forst algorithm, I want to test it and then customize it for other algorithms.

This function read from the config json file:

Function to load the tuning job config from a JSON file

def load_tuning_job_config(): with open('tuning_job_config.json', 'r') as config_file: config = json.load(config_file) print("The config file is read well!") return config