Time Series Forecasting
Introduction
Prerequisites and limitations
Train a time series forecasting model
Time Series Forecasting Settings
Settings: General settings
Settings: Train / Test set
Settings: External features
Settings: Algorithms
Additional information
Runtime and GPU support
Code environment
Selection of GPU
Time Series Forecasting Results
Forecast charts
Performance: Metrics
Performance: Per time series metrics
Model Information: Algorithm
Scoring recipe
Without external features
With external features
Refitting for statistical models
Evaluation recipe
Input dataset
Output datasets
Refitting for statistical models