TimeGPT-1: production ready pre-trained Time Series Foundation Model for forecasting and anomaly detection. Generative pretrained transformer for time series trained on over 100B data points. It's capable of accurately predicting various domains such as retail, electricity, finance, and IoT with just a few lines of code 🚀.
currently, cross-validation is designed to treat all exogenous variables as future variables by default. moving forward, we aim to align cross-validation settings more closely with forecast settings, enabling differentiation between historical and future exogenous variables.
Description
currently, cross-validation is designed to treat all exogenous variables as future variables by default. moving forward, we aim to align cross-validation settings more closely with forecast settings, enabling differentiation between historical and future exogenous variables.
Use case
No response