[{'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:from typing import List\nimport astropy.io.ascii\nimport astropy.table\nimport h5py\nimport numpy\nimport sklearn.linear_model\nimport sklearn.cross_validation\nCROWDASTRO_PATH = '../data/crowdastro_swire.h5'\nTRAINING_PATH = '../data/training_swire.h5'\nATLAS_CATALOGUE_PATH = '../data/ATLASDR3_cmpcat_23July2015.csv'\nOUTPUT_PATH = '../data/crowdastro_catalogue.dat'\nNEARBY = 1 / 60  # 1 arcmin in degrees.\nIMAGE_SIZE = 200 * 200\nATLAS_DIST_IDX = 2 + IMAGE_SIZE"}, {'role': 'assistant', 'content': "['helper_functions', 'load_data']"}]