I dont understand the argument new_data in predict, if it is given, does that mean that the model is again trained on that new_data and then predict the values regarding to the horizon? For example I want to use an one hour prediction on a train data that has 5 min frequency, so I am using multi-step forecast. My end of train data is example 31-12-2022 10:00, so when I use predict with using the new_data containing values of 01-01-2023 00:00 and 01-01-2023 00:05, the predictions will be from 01-01-2023 00:10 and one hour further 01-01-2023 01:10. I am only interested for the value at 01-01-2023 01:10 so before values would be discarded. But also I want to know the value at 01-01-2023 01:15 so now in my new_data I add values for 01-01-2023 00:00, 01-01-2023 00:05, 01-01-2023 00:10 and I get predictions to 01-01-2023 01-15, does increasing the size of new_data influence the quality of the predictions?