[{'role': 'system', 'content': "You are an expert in machine learning and your task is to classify the code snippets into categories from the provided list of categories. List of categories: ['helper_functions', 'load_data', 'data_exploration', 'data_preprocessing', 'evaluation', 'modelling', 'prediction', 'result_visualization', 'save_results', 'comment_only']"}, {'role': 'user', 'content': 'Identify to which category the provided code belongs and assign the code snippet to at least 1 but up to 5 categories based on the probabilities, ignore if the probability of the category is negligible. Strictly provide your response as a list. Avoid providing any additional information, commentary, or personal opinions.\\nPython Code:\'\'\'def solution(key):\nkey = tuple(key)\nprod_id = key[0]\nchannel_id = key[1]\nstore_id = key[2]\ndepot_id = key[3]\nif (prod_id, channel_id, store_id, depot_id) in logmeans_prod_chan_store_depot:\nval = logmeans_prod_chan_store_depot[prod_id, channel_id, store_id, depot_id]\nelse:\nval = log_global_median\nreturn val\nx_valid["temp"] = x_valid[["product_id", "channel_id", "store_id", "depot_id"]].apply(lambda x:solution(x), axis = 1)\ndisplay(str(rmse(x_valid["temp"], x_valid["log_demand"])))\'\'\''}, {'role': 'assistant', 'content': "['comment_only']"}]