- breaking: drop rows with null targets when `dropna=False` jmoralez (447)
Bug Fixes
- fix(auto): support custom column names jmoralez (449)
Enhancement
- enh(distributed): propagate null features in spark jmoralez (448)
0.14.0
New Features
- feat: add `weight_col` to `MLForecast.fit` and `MLForecast.cross_validation` jmoralez (444) - feat: infer samples required for built-in lag transforms updates jmoralez (445)
0.13.6
Bug Fixes
- fix(distributed): exogenous handling in distributed cross validation jmoralez (443) - fix(distributed): support pre-computed features jmoralez (436)
0.13.5
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)
0.13.4
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)
0.13.3
Bug Fixes
- handle no target transforms in DistributedMLForecast.to_local jmoralez (388)
Enhancement
- ensure static features are constant jmoralez (391)