Mlforecast

Breaking changes
* remove dashes from feature names by jmoralez in https://github.com/Nixtla/mlforecast/pull/69
* replace predict_fn with callbacks by jmoralez in https://github.com/Nixtla/mlforecast/pull/73

Features
* add MLForecast.from_cv by jmoralez in https://github.com/Nixtla/mlforecast/pull/71
* allow models to be dict by jmoralez in https://github.com/Nixtla/mlforecast/pull/72
* Add step size argument to cross validation method by FedericoGarza in https://github.com/Nixtla/mlforecast/pull/74
* Add `new_data` argument to `predict` method (allow transferability) by FedericoGarza in https://github.com/Nixtla/mlforecast/pull/79
* Perform cross validation without refitting the models by FedericoGarza in https://github.com/Nixtla/mlforecast/pull/81
* Support one model per horizon approach by jmoralez in https://github.com/Nixtla/mlforecast/pull/80
* support multiple models in cross_validation by jmoralez in https://github.com/Nixtla/mlforecast/pull/84
Bug fixes
* Remove `dynamic_dfs` argument from `cross_validation` method by FedericoGarza in https://github.com/Nixtla/mlforecast/pull/82
Documentation
* add getting started docs section by jmoralez in https://github.com/Nixtla/mlforecast/pull/64
* Add cross-validation tutorial by FedericoGarza in https://github.com/Nixtla/mlforecast/pull/76
* Add electricity peak forecasting tutorial by FedericoGarza in https://github.com/Nixtla/mlforecast/pull/77
* Improve description preprocessing ERCOT dataset by FedericoGarza in https://github.com/Nixtla/mlforecast/pull/78
Maintenance
* set methods on GroupedArray and preserve id_col in TimeSeries.fit_transform by jmoralez in https://github.com/Nixtla/mlforecast/pull/70

What's Changed
* rename Forecast to MLForecast by jmoralez in https://github.com/Nixtla/mlforecast/pull/63


**Full Changelog**: https://github.com/Nixtla/mlforecast/compare/v0.3.1...v0.4.0

What's Changed
* fix unused arguments by jmoralez in https://github.com/Nixtla/mlforecast/pull/61


**Full Changelog**: https://github.com/Nixtla/mlforecast/compare/v0.3.0...v0.3.1

What's Changed
* raise error when serie is too short for backtest by jmoralez in https://github.com/Nixtla/mlforecast/pull/32
* allow models list by jmoralez (34, 36)
* [FEAT] Allow used by GitHub section hardcoding lib name by FedericoGarza in https://github.com/Nixtla/mlforecast/pull/37
* [FIX] Add black as a development dependency by FedericoGarza in https://github.com/Nixtla/mlforecast/pull/38
* rename backtest to cross_validation and return single dataframe by jmoralez in https://github.com/Nixtla/mlforecast/pull/41
* Remove TimeSeries from Forecast constructor by jmoralez in https://github.com/Nixtla/mlforecast/pull/44
* allow passing column names as arguments. allow ds to be int by jmoralez in https://github.com/Nixtla/mlforecast/pull/45
* add LightGBMCV by jmoralez in https://github.com/Nixtla/mlforecast/pull/48
* support applying differences to series by jmoralez in https://github.com/Nixtla/mlforecast/pull/52
* allow functions as date features by jmoralez in https://github.com/Nixtla/mlforecast/pull/57
* Improve docs by jmoralez in https://github.com/Nixtla/mlforecast/pull/59

New Contributors
* FedericoGarza made their first contribution in https://github.com/Nixtla/mlforecast/pull/37

**Full Changelog**: https://github.com/Nixtla/mlforecast/compare/v0.2.0...v0.3.0