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Latest version: v0.19.10

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0.18.9

Added
- Added the `RobustScaler` transformer and added it to the default optimal transformation search.
- Added `'robust'` as a valid normalizer argument when forecasting with scikit-learn esitmators.
Changed
Fixed

0.18.8

Added
Changed
- Made an explicit error message when the RNN model does not have enough observations to evaluate (58).
- Changed the title of the loss plot from the RNN model.
Fixed
- Fixed how the prophet model creates its externals regressors dataframe to avoid a `ValueError` (55).
- Fixed an error with the RNN model when forecast horizon is 1.

0.18.7

Added
Changed
- Changed requirements to avoid a dask/lightgbm error when importing the Forecaster module (46).
Fixed
- Calling `auto_forecast()` without tuning a model first no longer raises an error when banking the model's history (52).
- RNN and LSTM models no longer raise errors with default CV parameters.

0.18.6

Added
- Added `exclude` argument to `Forecaster.plot()`, `Forecaster.plot_test_set()`, and `Forecaster.plot_fitted()`.
Changed
Fixed

0.18.5

Added
Changed
- The combo model can now accept one-model arguments to facilitate auto-selecting "best" models.
Fixed
- Updated requirement version of lightgbm (46)

0.18.4

Added
Changed
- Took out `infer_datetime_format` args from pandas functions since they are deprecated.
- Modified example grids.
Fixed

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