[{'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:# Convert the features like features, photos, description into numeric by computing their length<br># Generate hash for the building_id, manager_id<br>train_df["num_photos"] = train_df["photos"].apply(len)<br>train_df["num_features"] = train_df["features"].apply(len)<br>train_df["num_description_words"] = train_df["description"].apply(lambda x: len(x.split(" ")))<br>train_df["building_gen_id"] = train_df["building_id"].apply(lambda x: x.encode(\'utf-8\'))<br>train_df["building_gen_id"] = train_df["building_gen_id"].apply(lambda x: string2numeric_hash(x))<br>train_df["manager_gen_id"] = train_df["manager_id"].apply(lambda x: x.encode(\'utf-8\'))<br>train_df["manager_gen_id"] = train_df["manager_gen_id"].apply(lambda x: string2numeric_hash(x))<br><br><br>test_df["num_photos"] = test_df["photos"].apply(len)<br>test_df["num_features"] = test_df["features"].apply(len)<br>test_df["num_description_words"] = test_df["description"].apply(lambda x: len(x.split(" ")))<br>test_df["building_gen_id"] = test_df["building_id"].apply(lambda x: x.encode(\'utf-8\'))<br>test_df["building_gen_id"] = test_df["building_gen_id"].apply(lambda x: string2numeric_hash(x))<br>test_df["manager_gen_id"] = test_df["manager_id"].apply(lambda x: x.encode(\'utf-8\'))<br>test_df["manager_gen_id"] = test_df["manager_gen_id"].apply(lambda x: string2numeric_hash(x))<br>'}, {'role': 'assistant', 'content': "['data_preprocessing']"}]