Uncertainty quantification

In forecasting, it is essential to consider the full distribution of predictions rather than only a point prediction. This approach allows for a better understanding of the uncertainty surrounding the forecast. TimeGPT supports uncertainty quantification through quantile forecasts and prediction intervals.

What You Will Learn

1. Quantile Forecasts

   • Learn how to compute specific quantiles of the forecast distribution using TimeGPT.

2. Prediction Intervals

   • Learn how to generate prediction intervals with TimeGPT, which give you a range of values that the forecast can take with a given probability.