def _train(skip_saving=False): arg_parser = train_argparser() if not skip_saving: process_configs(target=__train, arg_parser=arg_parser) else: run_args = process_configs_serial(arg_parser) trained_model = __train(run_args, skip_saving) return trained_model
def _train(): arg_parser = train_argparser() process_configs(target=__train, arg_parser=arg_parser)
def _train(): arg_parser = train_argparser() # this one put relevant arguments in argparser process_configs(target=__train, arg_parser=arg_parser)