timesfm: A pretrained time-series foundation model for time-series forecasting.
What problem it solves Time-series forecasting requires models that can forecast univariate and multivariate series across different context lengths. Forecasters also need to incorporate optional covariates and produce quantile forecasts without requiring per-task tuning. Key features Univariate and multivariate forecasting — Forecast individual time series or multiple target variates from NumPy a…
github.comhttps://github.com/google-research/timesfm