Highlights:
- ETNA native
MLPModel
to_dict
method in all the etna objectsDirectEnsemble
implementing the direct forecasting strategy- Notebook about forecasting strategies
Full changelog:
Added
- Function to transform etna objects to dict(#818)
MLPModel
(#860)DeadlineMovingAverageModel
(#827)DirectEnsemble
(#824)- CICD: untaged docker image cleaner (#856)
- Notebook about forecasting strategies (#864)
- Add
ChangePointSegmentationTransform
,RupturesChangePointsModel
(#821)
Changed
- Teach AutoARIMAModel to work with out-sample predictions (#830)
- Make TSDataset.to_flatten faster for big datasets (#848)
Fixed
- Type hints for external users by PEP 561 (#868)
- Type hints for
Pipeline.model
matchmodels.nn
(#768) - Fix behavior of SARIMAXModel if simple_differencing=True is set (#837)
- Bug python3.7 and TypedDict import (867)
- Fix deprecated pytorch lightning trainer flags (#866)
- ProphetModel doesn't work with cap and floor regressors (#842)
- Fix problem with encoding category types in OHE (#843)
- Change Docker cuda image version from 11.1 to 11.6.2 (#838)
- Optimize time complexity of
determine_num_steps
(#864) - All warning as errors(#880)
- Update .gitignore with .DS_Store and checkpoints (#883)
- Delete ROADMAP.md ([#904]#904)
- Fix ci invalid cache (#896)