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Release 2.9.0 #471

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Sep 6, 2024
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40 changes: 17 additions & 23 deletions CHANGELOG.md
Original file line number Diff line number Diff line change
Expand Up @@ -7,13 +7,6 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0

## Unreleased
### Added
- Add `**kwargs` argument description for models based on `LinearRegression`, `ElasticNet` and `CatBoostRegressor` ([#454](https://github.com/etna-team/etna/pull/454))
- Add possibility to load pretrained embedding models ([#461](https://github.com/etna-team/etna/pull/461))
- Add `is_freezed` parameter to `TS2VecEmbeddingModel` and `TSTCCEmbeddingModel` ([#461](https://github.com/etna-team/etna/pull/461))
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- Add test on working without extras ([#463](https://github.com/etna-team/etna/pull/463))
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Expand All @@ -29,13 +22,6 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
-

### Changed
- Add support of property attributes in `__repr__` and `to_dict` of `BaseMixin` ([#469](https://github.com/etna-team/etna/pull/469))
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-
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Expand All @@ -51,15 +37,6 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
-

### Fixed
- Fix `IForestOutlierTransform` failed with ignored `target` column ([#460](https://github.com/etna-team/etna/pull/460))
- Add lower limit for `typing_extension` versions ([#458](https://github.com/etna-team/etna/pull/458))
- Fix `ModelDecomposeTransform` import without `prophet` module ([#459](https://github.com/etna-team/etna/pull/459))
- Convert `segment` to string during reading csv in `backtest` and `forecast` commands ([#470](https://github.com/etna-team/etna/pull/470))
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-
- Fix holidays during loading datasets `traffic_2008_10T` and `traffic_2008_hourly` ([#462](https://github.com/etna-team/etna/pull/462))
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Expand All @@ -74,6 +51,23 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
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## [2.9.0] - 2024-09-06
### Added
- Add `**kwargs` argument description for models based on `LinearRegression`, `ElasticNet` and `CatBoostRegressor` ([#454](https://github.com/etna-team/etna/pull/454))
- Add possibility to load pretrained embedding models ([#461](https://github.com/etna-team/etna/pull/461))
- Add `is_freezed` parameter to `TS2VecEmbeddingModel` and `TSTCCEmbeddingModel` ([#461](https://github.com/etna-team/etna/pull/461))
- Add test on working without extras ([#463](https://github.com/etna-team/etna/pull/463))

### Changed
- Add support of property attributes in `__repr__` and `to_dict` of `BaseMixin` ([#469](https://github.com/etna-team/etna/pull/469))

### Fixed
- Fix `IForestOutlierTransform` failed with ignored `target` column ([#460](https://github.com/etna-team/etna/pull/460))
- Add lower limit for `typing_extension` versions ([#458](https://github.com/etna-team/etna/pull/458))
- Fix `ModelDecomposeTransform` import without `prophet` module ([#459](https://github.com/etna-team/etna/pull/459))
- Convert `segment` to string during reading csv in `backtest` and `forecast` commands ([#470](https://github.com/etna-team/etna/pull/470))
- Fix holidays during loading datasets `traffic_2008_10T` and `traffic_2008_hourly` ([#462](https://github.com/etna-team/etna/pull/462))

## [2.8.0] - 2024-08-13
### Added
- Add `get_anomalies_iqr` function for anomaly detection ([#374](https://github.com/etna-team/etna/pull/374))
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9 changes: 7 additions & 2 deletions docs/source/_static/switcher.json
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Expand Up @@ -5,10 +5,15 @@
"url": "https://docs.etna.ai/latest/"
},
{
"name": "2.8.0 (stable)",
"version": "2.8.0",
"name": "2.9.0 (stable)",
"version": "2.9.0",
"url": "https://docs.etna.ai/stable/"
},
{
"name": "2.8.0",
"version": "2.8.0",
"url": "https://docs.etna.ai/2.8.0/"
},
{
"name": "2.7.1",
"version": "2.7.1",
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2 changes: 1 addition & 1 deletion pyproject.toml
Original file line number Diff line number Diff line change
@@ -1,6 +1,6 @@
[tool.poetry]
name = "etna"
version = "2.8.0"
version = "2.9.0"
repository = "https://github.com/etna-team/etna"
readme = "README.md"
description = "ETNA is the first python open source framework of T-Bank AI Center. It is designed to make working with time series simple, productive, and fun."
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