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
  • Model Information: Residuals
• Scoring recipe
  • Without external features
  • With external features
  • Refitting for statistical models
• Evaluation recipe
  • Input dataset
  • Output datasets
  • Refitting for statistical models