[{'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 sghmc_vectorNew(gradU, eta, L, alpha, x, V, XX, y, Sigma_beta, size):\nbeta = 0.5 * V * eta\np = np.random.randn(len(x)) * np.sqrt( eta )\nmomentum = 1. - alpha\ntry:\nsigma = np.sqrt( 2. * eta * (alpha-beta) )\nexcept:\nprint('eta too big')\nfor i in range(L):\np = p * momentum - gradU( x, Xb, yb, Sigma_beta, size ) * eta + np.random.randn(len(p)) * sigma\nx += p\nreturn x.copy()"}, {'role': 'assistant', 'content': "['modelling']"}]