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Release 2.2.0 (#1352)
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Mr-Geekman authored Aug 8, 2023
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26 changes: 22 additions & 4 deletions CHANGELOG.md
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Expand Up @@ -7,15 +7,34 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0

## Unreleased
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## [2.2.0] - 2023-08-08
### Added
- `DeseasonalityTransform` ([#1307](https://github.com/tinkoff-ai/etna/pull/1307))
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- Add extension with models from `statsforecast`: `StatsForecastARIMAModel`, `StatsForecastAutoARIMAModel`, `StatsForecastAutoCESModel`, `StatsForecastAutoETSModel`, `StatsForecastAutoThetaModel` ([#1295](https://github.com/tinkoff-ai/etna/pull/1297))
- Notebook `feature_selection` ([#875](https://github.com/tinkoff-ai/etna/pull/875))
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- Implementation of PatchTS model ([#1277](https://github.com/tinkoff-ai/etna/pull/1277))

### Changed
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- Add modes `binary` and `category` to `HolidayTransform` ([#763](https://github.com/tinkoff-ai/etna/pull/763))
- Add sorting by timestamp before the fit in `CatBoostPerSegmentModel` and `CatBoostMultiSegmentModel` ([#1337](https://github.com/tinkoff-ai/etna/pull/1337))
- Speed up metrics computation by optimizing segment validation, forbid NaNs during metrics computation ([#1338](https://github.com/tinkoff-ai/etna/pull/1338))
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### Fixed
- Pipeline ensembles fail in `etna forecast` CLI ([#1331](https://github.com/tinkoff-ai/etna/pull/1331))
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- Fix performance of `DeepARModel` and `TFTModel` ([#1322](https://github.com/tinkoff-ai/etna/pull/1322))
- `mrmr` feature selection working with categoricals ([#1311](https://github.com/tinkoff-ai/etna/pull/1311))
- Fix version of `statsforecast` to 1.4 to avoid dependency conflicts during installation ([#1313](https://github.com/tinkoff-ai/etna/pull/1313))
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2 changes: 1 addition & 1 deletion pyproject.toml
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[tool.poetry]
name = "etna"
version = "2.1.0"
version = "2.2.0"
repository = "https://github.com/tinkoff-ai/etna"
readme = "README.md"
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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