[{'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:total_iterations = 0\ndef optimize(num_iterations):\nglobal total_iterations\nstart_time = time.time()\nfor i in range(total_iterations,\ntotal_iterations + num_iterations):\nx_batch, y_true_batch = data.train.next_batch(train_batch_size)\nfeed_dict_train = {x: x_batch,\ny_true: y_true_batch}\n_, c, summary  =session.run([optimizer,cost,summary_op],feed_dict=feed_dict_train)\nif i % 100 == 0:\nacc = session.run(accuracy, feed_dict=feed_dict_train)\nmsg = "Optimization Iteration: {0:>6}, Training Accuracy: {1:>6.1%}"\nsummary_writer.add_summary(summary, total_iterations)\nprint(msg.format(i + 1, acc))\ntotal_iterations += num_iterations\nend_time = time.time()\ntime_dif = end_time - start_time\nprint("Time usage: "+ str(timedelta(seconds=int(round(time_dif)))))'}, {'role': 'assistant', 'content': "['modelling']"}]