[{'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:import plotly.express as px\nimport plotly.graph_objs as go\nfrom plotly.subplots import make_subplots\nimport plotly\nplotly.offline.init_notebook_mode() # For not show up chart error\n\nimport matplotlib.pyplot as plt\nimport matplotlib.animation as animation\nfrom IPython.display import HTML\n%matplotlib inline\n\nfrom tqdm import tqdm\n\ndef RMSLE(pred,actual):\n    return np.sqrt(np.mean(np.power((np.log(pred+1)-np.log(actual+1)),2)))'}, {'role': 'assistant', 'content': "['helper_functions']"}]