def main():
#	args = parser.parse_args()
	if args.model:
		themodel.load_weights(args.model)
	x, y = args.split(args.data, args.sample_size)
	themodel.fit(x, y, batch_size = 10, verbose = 1, nb_epoch = 1)
	themodel.save_weights(args.output, overwrite = True)
def main():
#	args = parser.parse_args()
	
	themodel.load_weights(args.model)
	predict_samples(args.output, args.length, args.sample_size)