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.
05/09/2023, 8:06 PM
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.