[{'role': 'system', 'content': "You are an expert in machine learning and your task is to classify code snippets into one of the following categories: ['helper_functions', 'load_data', 'data_exploration', 'data_preprocessing', 'evaluation', 'modelling', 'prediction', 'result_visualization', 'save_results', 'comment_only']."}, {'role': 'user', 'content': "Identify the single most appropriate category to which the provided code belongs. Provide your response as a single category label without any additional information, commentary, or personal opinions.\\nPython Code:def fit():\nfitting_results = []\nfor image in print_progress(images):\ninitial_shape = image.landmarks['cat']\nresult = fitter.fit_from_shape(image, image.landmarks['cat'], max_iters=20, gt_shape=None,\nreturn_costs=False)\nfitting_results.append(result)\nreturn fitting_results\ndef fit_from_previous():\nfitting_results = []\ninitial_shape = images[0].landmarks['cat']\nfor i, image in enumerate(print_progress(images)):\nresult = fitter.fit_from_shape(image, initial_shape, max_iters=20, gt_shape=None,\nreturn_costs=False)\ninitial_shape = result.final_shape\nfitting_results.append(result)\nreturn fitting_results\nresults = fit()"}, {'role': 'assistant', 'content': 'modelling'}]