[{'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 sample(checkpoint, n_samples, lstm_size, vocab_size, prime="The "):\nprime = "Far"\nsamples = [c for c in prime]\nmodel = build_rnn(vocab_size, lstm_size=lstm_size, sampling=True)\nsaver = tf.train.Saver()\nwith tf.Session() as sess:\nsaver.restore(sess, checkpoint)\nnew_state = sess.run(model.initial_state)\nfor c in prime:\nx = np.zeros((1, 1))\nx[0,0] = vocab_to_int[c]\nfeed = {model.inputs: x,\nmodel.keep_prob: 1.,\nmodel.initial_state: new_state}\npreds, new_state = sess.run([model.preds, model.final_state],\nfeed_dict=feed)\nc = pick_top_n(preds, len(vocab))\nsamples.append(int_to_vocab[c])\nfor i in range(n_samples):\nx[0,0] = c\nfeed = {model.inputs: x,\nmodel.keep_prob: 1.,\nmodel.initial_state: new_state}\npreds, new_state = sess.run([model.preds, model.final_state],\nfeed_dict=feed)\nc = pick_top_n(preds, len(vocab))\nsamples.append(int_to_vocab[c])\nreturn \'\'.join(samples)'}, {'role': 'assistant', 'content': "['modelling']"}]