[{'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 feed_data_generator (image_train, labels_train, batch_size):\ntotal = (len(y) // batch_size ) * batch_size\nnum_images = len(image_train)\nrandom_index = np.random.choice(num_images, size=batch_size, replace=False)\nwhile True:\nfeatures_batch = image_train[random_index,:]\nlabels_batch = labels_train[random_index]\nyield features_batch, labels_batch\nif(debug):\nprint("Feed data generator setup")\nmy_generator = feed_data_generator(train_features, train_labels, 20)\ntest_batch_images, test_batch_labels = next(my_generator)\nprint("test_batch_images shape",test_batch_images.shape)\nprint("test_batch_labels shape",test_batch_labels.shape)'}, {'role': 'assistant', 'content': "['data_exploration', 'data_preprocessing', 'modelling']"}]