if flag == 'test': shuffle_flag = False drop_last = True if args.task_name == 'anomaly_detection' or args.task_name == 'classification': batch_size = args.batch_size else: batch_size = 1 # bsz=1 for evaluation freq = args.freq
I am wonder this setting
Hi, this design is to mimc the online serving scenario.
If you have an online model, you can use this configuration. But if you only want to propose a normal forecasting model, you can just increase this number.
if flag == 'test': shuffle_flag = False drop_last = True if args.task_name == 'anomaly_detection' or args.task_name == 'classification': batch_size = args.batch_size else: batch_size = 1 # bsz=1 for evaluation freq = args.freq
I am wonder this setting