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- Teach AutoARIMAModel to work with out-sample predictions ([#830](https://github.com/tinkoff-ai/etna/pull/830))
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- Make TSDataset.to_flatten faster for big datasets ([#848](https://github.com/tinkoff-ai/etna/pull/848))
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### Fixed
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- Type hints for external users by [PEP 561](https://mypy.readthedocs.io/en/stable/running_mypy.html#missing-library-stubs-or-py-typed-marker) ([#868](https://github.com/tinkoff-ai/etna/pull/868))
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- Type hints for `Pipeline.model` match `models.nn`([#768](https://github.com/tinkoff-ai/etna/pull/840))
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- Fix behavior of SARIMAXModel if simple_differencing=True is set ([#837](https://github.com/tinkoff-ai/etna/pull/837))
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- Bug python3.7 and TypedDict import ([867](https://github.com/tinkoff-ai/etna/pull/867))
description = "ETNA is the first python open source framework of Tinkoff.ru AI Center. It is designed to make working with time series simple, productive, and fun."
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