Hey. For mlforecast we have a separate interface, mainly because the logic is very different. Here are the docs to perform distributed training with spark: https://nixtla.github.io/mlforecast/distributed.forecast.html#spark, you have to import the distributed mlforecast class (
from mlforecast.distributed import DistributedMLForecast
). Please let us know if you run into any issues
b
Brian Head
09/14/2023, 7:07 PM
Ah, thanks. I'll give it a try. Appreciate all of the prompt responses!