[{'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 peak_finder(y):\n'''\nThis is the main function that needs development.\nEssentially it looks through three consequative values of y at the time and checks in the middle value is a max.\nIf it is a max, it saves it to a peak list.\n'''\npeaks = []\ni, j, k = 0, 1, 2\ncounter = 0\nfirst, second, third = y[i], y[j], y[k]\nwhile k < len(y):\nif second >= third:\nif second >= first:\npeaks.append([j, second])\ni += 1\nj += 1\nk += 1\nif k < len(y):\nfirst, second, third = y[i], y[j], y[k]\nelse:\npass\nreturn peaks\npeak = peak_finder(y)\nprint(peak)"}, {'role': 'assistant', 'content': "['data_exploration', 'data_preprocessing']"}]