From b5b7cb2d2074e7f2738e242d5c134d29fed42d17 Mon Sep 17 00:00:00 2001
From: alex-hse-repository
 <55380696+alex-hse-repository@users.noreply.github.com>
Date: Tue, 11 Apr 2023 16:13:39 +0200
Subject: [PATCH] Release 2.0 (#1219)

---
 CHANGELOG.md   | 22 ++++++++++++++++++++--
 pyproject.toml |  2 +-
 2 files changed, 21 insertions(+), 3 deletions(-)

diff --git a/CHANGELOG.md b/CHANGELOG.md
index 96cc8cb31..cf336a1c1 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -7,6 +7,23 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
 
 ## Unreleased
 ### Added
+-
+-
+-
+- 
+### Changed
+-
+-
+-
+-
+### Fixed
+-
+-
+-
+-
+
+## [2.0.0] - 2023-04-11
+### Added
 - Target components logic into `AutoRegressivePipeline` ([#1188](https://github.com/tinkoff-ai/etna/pull/1188))
 - Target components logic into `HierarchicalPipeline` ([#1199](https://github.com/tinkoff-ai/etna/pull/1199))
 - `predict` method into `HierarchicalPipeline` ([#1199](https://github.com/tinkoff-ai/etna/pull/1199))
@@ -38,7 +55,7 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
 - Method `predict_components` for forecast decomposition in `_TBATSAdapter` ([#1181](https://github.com/tinkoff-ai/etna/pull/1181))
 - Forecast decomposition for `DeadlineMovingAverageModel`([#1186](https://github.com/tinkoff-ai/etna/pull/1186))
 - Prediction decomposition example into `custom_transform_and_model.ipynb`([#1216](https://github.com/tinkoff-ai/etna/pull/1216))
-- 
+
 ### Changed
 - Add optional `features` parameter in the signature of `TSDataset.to_pandas`, `TSDataset.to_flatten` ([#809](https://github.com/tinkoff-ai/etna/pull/809))
 - Signature of the constructor of `TFTModel`, `DeepARModel` ([#1110](https://github.com/tinkoff-ai/etna/pull/1110))
@@ -51,6 +68,7 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
 - Decouple `DeadlineMovingAverageModel` from `PerSegmentModelMixin` ([#1140](https://github.com/tinkoff-ai/etna/pull/1140))
 - Remove version python-3.7 from `pyproject.toml`, update lock ([#1183](https://github.com/tinkoff-ai/etna/pull/1183))
 - Bump minimum pandas version up to 1.1 ([#1214](https://github.com/tinkoff-ai/etna/pull/1214))
+
 ### Fixed
 - Fix bug in `GaleShapleyFeatureSelectionTransform` with wrong number of remaining features ([#1110](https://github.com/tinkoff-ai/etna/pull/1110))
 - `ProphetModel` fails with additional seasonality set ([#1157](https://github.com/tinkoff-ai/etna/pull/1157))
@@ -75,7 +93,7 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
 - Add saving/loading for transforms, models, pipelines, ensembles; tutorial for saving/loading ([#1068](https://github.com/tinkoff-ai/etna/pull/1068))
 - Add hierarchical time series support([#1083](https://github.com/tinkoff-ai/etna/pull/1083))
 - Add `WAPE` metric & `wape` functional metric ([#1085](https://github.com/tinkoff-ai/etna/pull/1085))
--
+
 ### Fixed
 - Missed kwargs in TFT init([#1078](https://github.com/tinkoff-ai/etna/pull/1078))
 
diff --git a/pyproject.toml b/pyproject.toml
index 5cb465f2a..2530d192c 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "etna"
-version = "1.15.0"
+version = "2.0.0"
 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."