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Update custom_transform_and_model notebook (#1216)
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CHANGELOG.md

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@@ -37,6 +37,7 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
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- In-sample prediction for `BATSModel` and `TBATSModel` ([#1181](https://github.com/tinkoff-ai/etna/pull/1181))
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- Method `predict_components` for forecast decomposition in `_TBATSAdapter` ([#1181](https://github.com/tinkoff-ai/etna/pull/1181))
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- Forecast decomposition for `DeadlineMovingAverageModel`([#1186](https://github.com/tinkoff-ai/etna/pull/1186))
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- Prediction decomposition example into `custom_transform_and_model.ipynb`([#1216](https://github.com/tinkoff-ai/etna/pull/1216))
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### Changed
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- Add optional `features` parameter in the signature of `TSDataset.to_pandas`, `TSDataset.to_flatten` ([#809](https://github.com/tinkoff-ai/etna/pull/809))
@@ -62,6 +63,7 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
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- Fix `OutliersTransform` and its children to raise error on new segments ([#1139](https://github.com/tinkoff-ai/etna/pull/1139))
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- Fix `DifferencingTransform` to raise error on new segments during `transform` and `inverse_transform` in inplace mode ([#1141](https://github.com/tinkoff-ai/etna/pull/1141))
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- Teach `DifferencingTransform` to `inverse_transform` with NaNs ([#1155](https://github.com/tinkoff-ai/etna/pull/1155))
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- Fixed `custom_transform_and_model.ipynb`([#1216](https://github.com/tinkoff-ai/etna/pull/1216))
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### Removed
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- `sample_acf_plot`, `sample_pacf_plot`, `CatBoostModelPerSegment`, `CatBoostModelMultiSegment` ([#1118](https://github.com/tinkoff-ai/etna/pull/1118))
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- `PytorchForecastingTransform` ([#971](https://github.com/tinkoff-ai/etna/pull/971))

examples/custom_transform_and_model.ipynb

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