skforecast
https://github.com/joaquinamatrodrigo/skforecast
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Time series forecasting with scikit-learn models
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- Issues
- fix: Reject n_boot=0 in check_backtesting_input
- fix: correct conformal prediction interval scaling when using differentiation (#1142)
- Linear Expansion of Conformal Prediction Intervals when using Differentiation
- 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
- [FEATURE]: support for multi-step time series classification with heterogeneous features
- A date-base utils function to perform set splits.
- Hyperparameter tuning and lags selection (Deep Learning)
- roadmap towards `skforecast` as primary reduction engine used by `sktime`
- Docs
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