Mlforecast

Bug Fixes

- add update method to target_transforms jmoralez (293)

Enhancement

- use coreforecast target_transforms when installed jmoralez (294)

Bug Fixes

- fix predict with multiple models jmoralez (290)

Dependencies

- polars updates jmoralez (291)

New Features

- add level argument to forecast_fitted_values jmoralez (287)
- add X_df argument to distributed predict jmoralez (286)

New Features

- add X_df debugging methods jmoralez (283)
- add quantile lag_transforms jmoralez (282)
- support lag transforms namer jmoralez (280)

Documentation

- add sklearn pipelines guide jmoralez (277)

Dependencies

- update utilsforecast jmoralez (281)

Enhancement

- don't recompute features already present in df jmoralez (279)

Bug Fixes

- fix RollingStd typo jmoralez (276)

Enhancement

- Improve error message "Found missing inputs in X_df" MarcoGorelli (273)
- use backtest_splits from utilsforecast jmoralez (271)

New Features

- support lag transformations from coreforecast jmoralez (265)
- add feature_engineering module jmoralez (261)
- add as_numpy argument jmoralez (249)
- add polars support jmoralez (241)

Breaking Change

- remove deprecated arguments jmoralez (240)
- remove dynamic_dfs argument jmoralez (239)

Bug Fixes

- deterministic column order jmoralez (262)
- fix inverse transforms for fitted values when series were dropped jmoralez (255)
- Fix distributed cv jmoralez (254)
- add packaging to dependencies jmoralez (235)

Documentation

- add as_numpy guide jmoralez (258)
- add analyzing models and custom training how-to guides jmoralez (236)

Enhancement

- keep df order in cv jmoralez (257)
- handle short series exception jmoralez (256)
- support polars dataframe in `TimeSeries.update` jmoralez (252)
- issue warning instead of error for short series in cv jmoralez (247)
- ensure lags are positive integers jmoralez (232)

**Full Changelog**: https://github.com/Nixtla/mlforecast/compare/v0.10.0...v0.11.0