Mlforecast

Enhancement

- enh: add step_size to AutoMLForecast jmoralez (426)
- support `step_size` selection in `optimization.mlforecast_objective` bchaoss (419)
- use TypeVar for dataframes and distribute py.typed file jmoralez (408)

New Features

- feat: mlflow flavor jmoralez (406)

Documentation

- Clear up the README for the new user Ammar-Azman (397)

Enhancement

- make season_length optional in AutoMLForecast jmoralez (399)

Bug Fixes

- handle no target transforms in DistributedMLForecast.to_local jmoralez (388)

Enhancement

- ensure static features are constant jmoralez (391)

New Features

- support prediction intervals in auto jmoralez (370)

Bug Fixes

- remove dots from feature names in distributed jmoralez (382)
- fix min_samples_split in random forest space jmoralez (380)

Enhancement

- store prediction intervals inputs in MLForecast.save jmoralez (383)
- support polars in GlobalSklearnTransformer jmoralez (377)

Dependencies

- add polars extra jmoralez (368)
- support polars 1.0 jmoralez (366)

Enhancement

- add fitted argument to AutoMLForecast.fit jmoralez (351)

Breaking Change

- set `refit=False` and `results_` as dict in AutoMLForecast jmoralez (341)

Bug fixes
- fix: fitted nonrecursive cv with horizon >= 10 adriaanvh1 (333)

Enhancement

- speedup date features jmoralez (340)
- Create CODE_OF_CONDUCT.md tracykteal (335)