Hey hey, I have a dataset with 1M+ customers across several different products. I'd like to do a hierarchical forecast Cohort -> Product -> Customer using Nixtla, but I'm running into memory issues on my local machine, especially when putting the data into the right format. What would you recommend I do? I've read this tutorial, but that doesn't seem to apply to hierarchical forecasts or neural forecasts.

Hi Isaac, we are working on ways to optimize hierachicalforecast and also ways to distribute the reconciliation strategies. I'm going to DM you to explore alternatives.