[{'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 argparse import Namespace\n\n#There are 1115 stores. Select a  small sample to do experimentation on. Select all for full training.\nnum_sample_stores=1115\n\n#The test set is 47 days. Normally use the last 47 days of the training data for validation. Se to 0 and use all data for traing when submitting to kaggle\nvalid_days=0\n\n#Hyperparameters\ns= Namespace( **{\n    "l1":4497,\n    "l2":2328,\n    "ps1":0.2771132028380148,\n    "ps2":0.15631474446268287,\n    "emb_drop":0.14301109844119272,\n    "batchsize":64,\n    "lrate":0.0660858230905056,\n    "lrate_ratio":9,\n    "wd":0.17305139150930285,\n    "l1epoch":4,\n    "l2epoch":3,\n    "l3epoch":8,\n})\n'}, {'role': 'assistant', 'content': "['modelling']"}]