Hi Matthijs, Thank you so much for the great and detailed explanation. My question is, how can we use this method to appropriately model different hierarchies? For example the dataset you used has a column called “group” which introduces two “summer and winter” groups which means that the forecasts must be consistent with the summer and winter aggregate signal forecasts. How can we take care of this bottom-to-top aggregation using this library ?