metaforecast
API Reference
Dynamic Ensembles
Synthetic Time Series Generation
Long-Horizon Forecasting
Configuration and Selection of Algorithms (COSEAL)
Evaluation
Tutorials
Tutorials
Ensembles
Introduction to Dynamic Ensembles
Dynamic Ensembles: Comparing Combination Rules
Long-Horizon Forecasting
Long-horizon Forecasting with FTN
Weighting FTN along the Horizon
Synthetic Data
Data Augmentation for Improved Forecasting Accuracy
Online Data Augmentation during Training
Synthetic Time Series Generators
Algorithm Selection (COSEAL)
MetaARIMA: Meta-Learning for ARIMA Pretrained Configuration Policy
MetaARIMA vs AutoARIMA
Evaluation
Aspect-based evaluation with ModelRadar
metaforecast
Tutorials
View page source
Tutorials
Step-by-step notebooks showing how to use metaforecast in practice.
Ensembles
Introduction to Dynamic Ensembles
Dynamic Ensembles: Comparing Combination Rules
Long-Horizon Forecasting
Long-horizon Forecasting with FTN
Weighting FTN along the Horizon
Synthetic Data
Data Augmentation for Improved Forecasting Accuracy
Online Data Augmentation during Training
Synthetic Time Series Generators
Algorithm Selection (COSEAL)
MetaARIMA: Meta-Learning for ARIMA Pretrained Configuration Policy
MetaARIMA vs AutoARIMA
Evaluation
Aspect-based evaluation with ModelRadar