Release 0.33.0 (#2676)

* bump u8darts 0.32.0 to 0.33.0

* update changelog

CHANGELOG.md

@@ -5,30 +5,46 @@ but cannot always guarantee backwards compatibility. Changes that may **break co
 
 ## [Unreleased](https://github.com/unit8co/darts/tree/master)
 
-[Full Changelog](https://github.com/unit8co/darts/compare/0.32.0...master)
+[Full Changelog](https://github.com/unit8co/darts/compare/0.33.0...master)
 
 ### For users of the library:
 
 **Improved**
 
-- New model: `StatsForecastAutoTBATS`. This model offers the [AutoTBATS](https://nixtlaverse.nixtla.io/statsforecast/src/core/models.html#autotbats) model from Nixtla's `statsforecasts` library. [#2611](https://github.com/unit8co/darts/pull/2611) by [He Weilin](https://github.com/cnhwl).
-- Added the `title` attribute to `TimeSeries.plot()`. This allows to set a title for the plot. [#2639](https://github.com/unit8co/darts/pull/2639) by [Jonathan Koch](https://github.com/jonathankoch99).
-- Added parameter `component_wise` to `show_anomalies()` to separately plot each component in multivariate series. [#2544](https://github.com/unit8co/darts/pull/2544) by [He Weilin](https://github.com/cnhwl).
-- Added more resampling methods to `TimeSeries.resample()`. This allows to aggregate values when down-sampling and to fill or keep the holes when up-sampling. [#2654](https://github.com/unit8co/darts/pull/2654) by [Jonas Blanc](https://github.com/jonasblanc)
-- Added general function `darts.slice_intersect()` to intersect a sequence of `TimeSeries` along the time index. [#2592](https://github.com/unit8co/darts/pull/2592) by [Yoav Matzkevich](https://github.com/ymatzkevich).
-- Added new time aggregated metric `wmape()` (Weighted Mean Absolute Percentage Error). [#2544](https://github.com/unit8co/darts/pull/2648) by [He Weilin](https://github.com/cnhwl).
-- Improvements to `ForecastingModel`:
+**Fixed**
+
+**Dependencies**
+
+### For developers of the library:
+
+## [0.33.0](https://github.com/unit8co/darts/tree/0.33.0) (2025-02-14)
+
+### For users of the library:
+
+**Improved**
+
+- Improvements to `TimeSeries`:
+  - Added more resampling methods to `TimeSeries.resample()`. This allows to aggregate values when down-sampling and to fill or keep the holes when up-sampling. [#2654](https://github.com/unit8co/darts/pull/2654) by [Jonas Blanc](https://github.com/jonasblanc)
+  - Added the `title` attribute to `TimeSeries.plot()`. This allows to set a title for the plot. [#2639](https://github.com/unit8co/darts/pull/2639) by [Jonathan Koch](https://github.com/jonathankoch99).
+  - Added general function `darts.slice_intersect()` to intersect a sequence of `TimeSeries` along the time index. [#2592](https://github.com/unit8co/darts/pull/2592) by [Yoav Matzkevich](https://github.com/ymatzkevich).
+- Improvements to Model Saving & Loading:
   - Added parameter `clean: bool` to `ForecastingModel.save()` to store a cleaned version of the model (removes training data from global models, and Lightning Trainer-related parameters from torch models). [#2649](https://github.com/unit8co/darts/pull/2649) by [Jonas Blanc](https://github.com/jonasblanc).
-- Added parameter `pl_trainer_kwargs` to `TorchForecastingModel.load()` to setup a new Lightning Trainer used to configure the model for downstream tasks (e.g. prediction). [#2649](https://github.com/unit8co/darts/pull/2649) by [Jonas Blanc](https://github.com/jonasblanc).
-- Fixed a bug in `LightGBMModel`, `XGBModel`, and `CatBoostModel` which raised an error when calling `fit()` with `val_sample_weight`. [#2626](https://github.com/unit8co/darts/pull/2626) by [Kylin Schmidt](https://github.com/kylinschmidt).
-- Improved the documentation of how `WindowedAnomalyScorer` extract the training data from the input series. [#2674](https://github.com/unit8co/darts/pull/2674) by [Dennis Bader](https://github.com/dennisbader).
+  - Added parameter `pl_trainer_kwargs` to `TorchForecastingModel.load()` to setup a new Lightning Trainer used to configure the model for downstream tasks (e.g. prediction). [#2649](https://github.com/unit8co/darts/pull/2649) by [Jonas Blanc](https://github.com/jonasblanc).
+- Improvements to Anomaly Detection:
+  - Added parameter `component_wise` to `show_anomalies()` to separately plot each component in multivariate series. [#2544](https://github.com/unit8co/darts/pull/2544) by [He Weilin](https://github.com/cnhwl).
+  - Improved the documentation of how `WindowedAnomalyScorer` extract the training data from the input series. [#2674](https://github.com/unit8co/darts/pull/2674) by [Dennis Bader](https://github.com/dennisbader).
+- Other improvemets:
+  - Added new forecasting model: `StatsForecastAutoTBATS`, wrapping [AutoTBATS](https://nixtlaverse.nixtla.io/statsforecast/src/core/models.html#autotbats) from Nixtla's `statsforecasts` library. [#2611](https://github.com/unit8co/darts/pull/2611) by [He Weilin](https://github.com/cnhwl).
+  - Added new time aggregated metric `wmape()` (Weighted Mean Absolute Percentage Error). [#2544](https://github.com/unit8co/darts/pull/2648) by [He Weilin](https://github.com/cnhwl).
 
 **Fixed**
 
+- Fixed a bug which raised an error when loading a torch model with `torch>=2.6.0`. [#2658](https://github.com/unit8co/darts/pull/2658) by [Dennis Bader](https://github.com/dennisbader).
 - Fixed a bug when performing optimized historical forecasts with `stride=1` using a `RegressionModel` with `output_chunk_shift>=1` and `output_chunk_length=1`, where the forecast time index was not properly shifted. [#2634](https://github.com/unit8co/darts/pull/2634) by [Mattias De Charleroy](https://github.com/MattiasDC).
-- Fixed the `ShapExplainer` `summary_plot` title where Horizon does not include `output_chunk_shift`. [#2647](https://github.com/unit8co/darts/pull/2647) by [He Weilin](https://github.com/cnhwl).
 - Fixed a bug where global naive models could not be used in ensemble models. [#2666](https://github.com/unit8co/darts/pull/2666) by [Dennis Bader](https://github.com/dennisbader).
 - Fixed a bug with global naive models where some `supports_*` properties were wrongly defined as methods. [#2666](https://github.com/unit8co/darts/pull/2666) by [Dennis Bader](https://github.com/dennisbader).
+- Fixed a bug in `LightGBMModel`, `XGBModel`, and `CatBoostModel` which raised an error when calling `fit()` with `val_sample_weight`. [#2626](https://github.com/unit8co/darts/pull/2626) by [Kylin Schmidt](https://github.com/kylinschmidt).
+- Fixed the `ShapExplainer` `summary_plot` title where Horizon does not include `output_chunk_shift`. [#2647](https://github.com/unit8co/darts/pull/2647) by [He Weilin](https://github.com/cnhwl).
 
 **Dependencies**
 

setup_u8darts.py

@@ -29,7 +29,7 @@ def read_requirements(path):
 
 setup(
     name="u8darts",
-    version="0.32.0",
+    version="0.33.0",
     description="A python library for easy manipulation and forecasting of time series.",
     long_description=LONG_DESCRIPTION,
     long_description_content_type="text/markdown",