Hyperactive integrates with popular machine learning frameworks beyond scikit-learn, including time series libraries.
For time series forecasting and classification with sktime:
| Use Case | Example |
|---|---|
| Time Series Forecasting | sktime_forecasting_example.py |
| Time Series Classification | sktime_tsc_example.py |
For direct skforecast forecasting optimization:
| Use Case | Example |
|---|---|
Recursive forecasting with SkforecastOptCV |
skforecast_example.py |
Note
Sktime integration requires additional dependencies:
pip install hyperactive[sktime-integration]Install integration extras as needed:
# Sktime/skpro for time series
pip install hyperactive[sktime-integration]
# Skforecast integration
pip install hyperactive[skforecast-integration]
# All extras including PyTorch Lightning
pip install hyperactive[all_extras]See :ref:`user_guide_integrations` for complete integration documentation.