* Fix error in `forecasting` module where it couldn't import internal default `MeanDefaultForecaster`
0.5.0
* Add AutoTS model wrapper, in case you want to use pre-defined models from AutoTS package * Add models in `models`. Now you can import `all_models`, `fast_models`, `base_models`
**Breaking changes**
* Dependencies * Model imports
0.4.1
* Bug fix in `run_forecasting_automation()` when `return_backtest_results=True`
0.4.0
* Change the `run_forecasting_automation()` function behaviour * Now this function runs the raw DataFrame and handles data preparation automatically * It also aligns with the `prepare_timeseries()` function and handles time-series generator well * Add parameters to the function * Change function name to be internal use only
**Breaking changes**
* Function name changes * Re-arrage/add/remove parameters in functions * Return values are changed
0.3.0
* Add preprocessing functionalities * Add `prepare_timeseries()` function to automate time-series preparation * `id_cols`, `id_col` can be `None` to treat the whole DataFrame as a single series
**Breaking changes**
* Function names change * Rearrange parameters
0.2.0
* Add functionalities for returning back the back-testing raw results * Add selected models in the forecasting automation and pipeline * Add `run_forecasting_pipeline()` function for running the pipeline just for 1 series
**Breaking change**
* Change function names * Re-arrange some of the parameters in the affected functions