Hi everyone. I have two questions: 1 - I need do a forecast with MLForecast considering a gap between my train dataset and scoring dataset. For example: i stop the train in the time 50 and do a forecast to the time 57. It's possible in Nixtla? I see a dependency with the h parameter and, for get the 57 forecast i need do a prediction to all the interval, it's correct? 2 - I need do simulations with a diferent set of values for a diferent set of features for a same unique_id and same data horizon. It's possible pass the dataframe with all combinations and do a forecast for all scenarios?

Ex. {
      unique_id : 1,
      ds: 50,
      feature_a : 1
},
{
      unique_id : 1,
      ds: 50,
      feature_a : 2
}

1. No, just forecast 7 steps ahead. 2. Sure, you can just run that in the predict function