skforecast
https://github.com/joaquinamatrodrigo/skforecast
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Time series forecasting with scikit-learn models
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- Issues
- Feature request: Add ability to skip steps in backtesting
- Feature request: Recursive multistep multivariate forecasting and direct multistep multi-series forecasting
- A single model multivariate forecaster
- bayesian_search_forecaster (Optuna) & Saving/Resuming Study with RDB Backend
- Naming convention for backtesting methods
- `ForecasterAutoreg` fails to fit when `exog` do not have string column names
- Consider adopting a code autoformatter
- RandomForestRegressor predicts constant values
- Consider applying for pyOpenSci open peer review
- Replace, or complement, `pmdarima` with `statsforecast.AutoARIMA`
- Docs
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