skforecast
https://github.com/joaquinamatrodrigo/skforecast
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Time series forecasting with scikit-learn models
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- Issues
- dependabot: update torch requirement from <2.13,>=2.4 to >=2.4,<2.14
- [FEATURE] Add winkler_score and weighted_interval_score to skforecast.metrics
- [FEATURE]: Adding Nori to foundation model family
- [BUG]: Suggested Correction for Hourly Energy Demand Aggregation
- [FEATURE]: Add min_non_nan_last_window for multiseries folds (min_periods-like behavior)
- [FEATURE]: TiRex foundation model
- feat: add py.typed marker for PEP 561 compliance
- Added callable exog support to backtesting_forecaster (#1131)
- Fix failing tests: Pandas Datetime Resolution Mismatch
- [FEATURE]: Support for "As-Of" timestamp filtering for exogenous covariates in backtesting
- Docs
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