Forecasting Examples

This section of the gallery focuses on practical examples of using fusionlab-learn for various time series forecasting tasks. You’ll find demonstrations of different models, input configurations, and forecasting objectives (e.g., point vs. quantile).

Explore the examples below to learn how to apply fusionlab-learn models to your forecasting problems:

Forecasting Examples:

• Basic Point Forecasting with Flexible TemporalFusionTransformer
• Quantile Forecasting with TFT Variants
• Point Forecasting with Stricter TFT (Required Inputs)
• Advanced Forecasting with XTFT
• XTFT Forecasting with Anomaly Detection

Note

These examples often use synthetic data or sampled versions of real datasets for demonstration. For optimal performance on your own data, remember to perform thorough data exploration, feature engineering, and hyperparameter tuning.