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Latest version: v0.19.10

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0.19.10

Added
Changed
Fixed
- Fixed the name of a paramter in `auxmodels.mlp_stack` (234)

0.19.9

Added
- Added `Forecaster.synthesize_models()`
Changed
Fixed
- Made compatible with more recent versions of the shap and xgboost packages

0.19.8

Added
Changed
Fixed
- Fixed `notebook.results_vis()` function when the dictionary keys are not strings.
- Transfer learning no longer fails when fitted values cannot be generated -- still investigating the root cause of this issue.

0.19.7

Added
- Added multivariate transfer learning
Changed
- `must_keep` in `Forecaster.auto_Xvar_select` can now be str type and will maintain the expected behavior.
Fixed

0.19.6

Added
Changed
Fixed
- Fixed how ARIMA model was reading future xreg values.

0.19.5

Added
- Added `fi_try_order` as an argument in `tune_test_forecast()`.
Changed
Fixed
- Got rid of the `AdditiveExplainer` and `GPUTreeExplainer` in `Forecaster.save_feature_importance()` which do not work with feature importance as it is currently set up.

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