TimesFM 2.5 Forecasting Workflow Tutorial

A tutorial builds an end-to-end forecasting workflow with TimesFM 2.5, covering backtesting, covariates, anomaly detection, and scalable Colab deployment. It generates a multi-store retail dataset and evaluates forecasts using MAE, RMSE, sMAPE, MASE, and pinball loss.