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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

Ah, thanks. I'll give it a try. Appreciate all of the prompt responses!