[{'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 take_ahead_and_lagged_values(ser, horizon, n_lags):\n"""\nConverts `ser` to a data matrix\nwith `horizon` ahead values and\n`n_lags` lagged values as well\nas a column for current value.\n@type ser: pandas.Series\n@type horizon: int\n@type n_lags: int\n@rtype: pandas.DataFrame\n"""\ndf = ser.to_frame(name=\'curr_value\')\nfor i in range(1, n_lags + 1):\ndf[\'lag_{}\'.format(i)] = df[\'curr_value\'].shift(i)\nfor i in range(1, horizon + 1):\ndf[\'ahead_{}\'.format(i)] = df[\'curr_value\'].shift(-i)\nreturn df'}, {'role': 'assistant', 'content': "['modelling']"}]