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- Tests on in-sample, out-sample predictions with gap for all models ([#785](https://github.com/tinkoff-ai/etna/pull/786))
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### Changed
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- Add columns and mode parameters in plot_correlation_matrix ([#726](https://github.com/tinkoff-ai/etna/pull/753))
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- Add CatBoostPerSegmentModel and CatBoostMultiSegmentModel classes, deprecate CatBoostModelPerSegment and CatBoostModelMultiSegment ([#779](https://github.com/tinkoff-ai/etna/pull/779))
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- Allow Prophet update to 1.1 ([#799](https://github.com/tinkoff-ai/etna/pull/799))
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- Make LagTransform, LogTransform, AddConstTransform vectorized ([#756](https://github.com/tinkoff-ai/etna/pull/756))
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- Improve the behavior of plot_feature_relevance visualizing p-values ([#795](https://github.com/tinkoff-ai/etna/pull/795))
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- Update poetry.core version ([#780](https://github.com/tinkoff-ai/etna/pull/780))
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- Make native prediction intervals for DeepAR ([#761](https://github.com/tinkoff-ai/etna/pull/761))
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- Make native prediction intervals for TFTModel ([#770](https://github.com/tinkoff-ai/etna/pull/770))
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- Test cases for testing inference of models ([#794](https://github.com/tinkoff-ai/etna/pull/794))
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- Wandb.log to WandbLogger ([#816](https://github.com/tinkoff-ai/etna/pull/816))
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### Fixed
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- Fix missing prophet in docker images ([#767](https://github.com/tinkoff-ai/etna/pull/767))
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- Add `known_future` parameter to CLI ([#758](https://github.com/tinkoff-ai/etna/pull/758))
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- FutureWarning: The frame.append method is deprecated. Use pandas.concat instead ([#764](https://github.com/tinkoff-ai/etna/pull/764))
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- Correct ordering if multi-index in backtest ([#771](https://github.com/tinkoff-ai/etna/pull/771))
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- Raise errors in models.nn if they can't make in-sample and some cases out-sample predictions ([#813](https://github.com/tinkoff-ai/etna/pull/813))
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- Teach BATS/TBATS to work with in-sample, out-sample predictions correctly ([#806](https://github.com/tinkoff-ai/etna/pull/806))
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- Github actions cache issue with poetry update ([#778](https://github.com/tinkoff-ai/etna/pull/778))
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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