[{'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:lat = input("Enter Latitude between -77 to 86:")\nlong = input("Enter Longitude between -180 to 180:")\ndepth = input("Enter Depth between 0 to 700:")\ndate = input("Enter the date (Month/Day/Year format):")\nInputX2 = np.asarray([[lat,long,depth,mapdateTotime(date)]],dtype=np.float32)\nInputX2_norm = (InputX2-X1_min)/(X1_max-X1_min)\nInputX1test = np.resize(InputX2_norm,(1,Xfeatures))\nwith tf.Session() as sess:\nsaver.restore(sess, "/tmp/earthquake_model.ckpt")\nprint("Model restored.")\nprint("output:",sess.run([output_layer],feed_dict={X:InputX1test}))'}, {'role': 'assistant', 'content': 'prediction'}]