For the complete documentation index, see llms.txt. This page is also available as Markdown.
Models
A forecast model is trained per Saved Location on the demand data you upload, with Beam applied automatically for feature selection. The lifecycle: create, train, then retrieve forecasts - retraining on your usual schedule as new demand data arrives.