skforecast
https://github.com/joaquinamatrodrigo/skforecast
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Time series forecasting with scikit-learn models
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- Issues
- Add FoundationalModels + Chronos adapter
- dependabot: bump tqdm from 4.67.1 to 4.67.2
- dependabot: bump rich from 14.1.0 to 14.3.2
- 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`
- Best way to use optuna pruning in skforecast search_forecaster?
- [FEATURE]: suport for cudf.pandas
- why 1D Convolutional Neural Networks (Conv1D) doesn't work properly using backtesting?
- What happens if we don't use cross-validation (CV) and just use trainset and test-set within our forecasting on tail of time data?
- Docs
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