Release 0.26.0 (#1994)

* bump u8darts 0.25.0

* update changelog

CHANGELOG.md

@@ -6,32 +6,42 @@ 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/0.25.0...master)
+[Full Changelog](https://github.com/unit8co/darts/compare/0.26.0...master)
 
+### For users of the library:
+### For developers of the library:
+
+## [0.26.0](https://github.com/unit8co/darts/tree/0.26.0) (2023-09-16)
 ### For users of the library:
 
 **Improved**
-- `TimeSeries` with a `RangeIndex` starting in the negative start are now supported by `historical_forecasts`. [#1866](https://github.com/unit8co/darts/pull/1866) by [Antoine Madrona](https://github.com/madtoinou).
-- Added a new argument `start_format` to `historical_forecasts()`, `backtest()` and `gridsearch` that allows to use an integer `start` either as the index position or index value/label for `series` indexed with a `pd.RangeIndex`. [#1866](https://github.com/unit8co/darts/pull/1866) by [Antoine Madrona](https://github.com/madtoinou).
-- Added `RINorm` (Reversible Instance Norm) as an input normalization option for all `TorchForecastingModel` except `RNNModel`. Activate it with model creation parameter `use_reversible_instance_norm`. [#1969](https://github.com/unit8co/darts/pull/1969) by [Dennis Bader](https://github.com/dennisbader).
-- Reduced the size of the Darts docker image `unit8/darts:latest`, and included all optional models as well as dev requirements. [#1878](https://github.com/unit8co/darts/pull/1878) by [Alex Colpitts](https://github.com/alexcolpitts96).
-- Added method `TimeSeries.cumsum()` to get the cumulative sum over time series along the time axis. [#1988](https://github.com/unit8co/darts/pull/1988) by [Eliot Zubkoff](https://github.com/Eliotdoesprogramming).
-- Added short examples in the docstring of all the models, including covariates usage and some model-specific parameters. [#1956](https://github.com/unit8co/darts/pull/1956) by [Antoine Madrona](https://github.com/madtoinou).
-- All `RegressionModel`s now support component/column-specific lags for target, past, and future covariates series. [#1962](https://github.com/unit8co/darts/pull/1962) by [Antoine Madrona](https://github.com/madtoinou).
-- Added method `TimeSeries.cumsum()` to get the cumulative sum of the time series along the time axis. [#1988](https://github.com/unit8co/darts/pull/1988) by [Eliot Zubkoff](https://github.com/Eliotdoesprogramming).
-- 🔴 Added past covariates feature projection to `TiDEModel` with parameter `temporal_width_past` following the advice of the model architect. Parameter `temporal_width` was renamed to `temporal_width_future`. Additionally, added the option to bypass the feature projection with `temporal_width_past/future=0`. [#1993](https://github.com/unit8co/darts/pull/1993) by [Dennis Bader](https://github.com/dennisbader).
-- Improvements to `EnsembleModel`:
-  - 🔴 Renamed `EnsembleModel` and `NaiveEnsembleModel` constructor argument `models` to `forecasting_models`. [#1815](https://github.com/unit8co/darts/pull/#1815) by [Antoine Madrona](https://github.com/madtoinou).
-  - `EnsembleModel`, `RegressionEnsembleModel` and `NaiveEnsembleModel` accept pretrained `GlobalForecastingModel` as `forecasting_models` to avoid re-training when ensembling. [#1815](https://github.com/unit8co/darts/pull/#1815) by [Antoine Madrona](https://github.com/madtoinou).
+- Improvements to `RegressionModel`: [#1962](https://github.com/unit8co/darts/pull/1962) by [Antoine Madrona](https://github.com/madtoinou).
+  - 🚀🚀 All models now support component/column-specific lags for target, past, and future covariates series.
+- Improvements to `TorchForecastingModel`:
+  - 🚀 Added `RINorm` (Reversible Instance Norm) as an input normalization option for all models except `RNNModel`. Activate it with model creation parameter `use_reversible_instance_norm`. [#1969](https://github.com/unit8co/darts/pull/1969) by [Dennis Bader](https://github.com/dennisbader).
+  - 🔴 Added past covariates feature projection to `TiDEModel` with parameter `temporal_width_past` following the advice of the model architect. Parameter `temporal_width` was renamed to `temporal_width_future`. Additionally, added the option to bypass the feature projection with `temporal_width_past/future=0`. [#1993](https://github.com/unit8co/darts/pull/1993) by [Dennis Bader](https://github.com/dennisbader).
+- Improvements to `EnsembleModel`:  [#1815](https://github.com/unit8co/darts/pull/#1815) by [Antoine Madrona](https://github.com/madtoinou) and [Dennis Bader](https://github.com/dennisbader).
+  - 🔴 Renamed model constructor argument `models` to `forecasting_models`.
+  - 🚀🚀 Added support for pre-trained `GlobalForecastingModel` as `forecasting_models` to avoid re-training when ensembling. This requires all models to be pre-trained global models.
+  - 🚀 Added support for generating the `forecasting_model` forecasts (used to train the ensemble model) with historical forecasts rather than direct (auto-regressive) predictions. Enable it with `train_using_historical_forecasts=True` at model creation. 
+  - Added an example notebook for ensemble models.
+- Improvements to historical forecasts, backtest and gridsearch:  [#1866](https://github.com/unit8co/darts/pull/1866) by [Antoine Madrona](https://github.com/madtoinou).
+  - Added support for negative `start` values to start historical forecasts relative to the end of the target series. 
+  - Added a new argument `start_format` that allows to use an integer `start` either as the index position or index value/label for `series` indexed with a `pd.RangeIndex`.
+  - Added support for `TimeSeries` with a `RangeIndex` starting at a negative integer.
+- Other improvements:
+  - Reduced the size of the Darts docker image `unit8/darts:latest`, and included all optional models as well as dev requirements. [#1878](https://github.com/unit8co/darts/pull/1878) by [Alex Colpitts](https://github.com/alexcolpitts96).
+  - Added short examples in the docstring of all the models, including covariates usage and some model-specific parameters. [#1956](https://github.com/unit8co/darts/pull/1956) by [Antoine Madrona](https://github.com/madtoinou).
+  - Added method `TimeSeries.cumsum()` to get the cumulative sum of the time series along the time axis. [#1988](https://github.com/unit8co/darts/pull/1988) by [Eliot Zubkoff](https://github.com/Eliotdoesprogramming).
 
 **Fixed**
 - Fixed a bug in `TimeSeries.from_dataframe()` when using a pandas.DataFrame with `df.columns.name != None`. [#1938](https://github.com/unit8co/darts/pull/1938) by [Antoine Madrona](https://github.com/madtoinou).
 - Fixed a bug in `RegressionEnsembleModel.extreme_lags` when the forecasting models have only covariates lags. [#1942](https://github.com/unit8co/darts/pull/1942) by [Antoine Madrona](https://github.com/madtoinou).
 - Fixed a bug when using `TFTExplainer` with a `TFTModel` running on GPU. [#1949](https://github.com/unit8co/darts/pull/1949) by [Dennis Bader](https://github.com/dennisbader).
 - Fixed a bug in `TorchForecastingModel.load_weights()` that raised an error when loading the weights from a valid architecture. [#1952](https://github.com/unit8co/darts/pull/1952) by [Antoine Madrona](https://github.com/madtoinou).
-- 🔴 Dropped support for lambda functions in `add_encoders`’s “custom” encoder in favor of named functions to ensure that models can be exported. [#1957](https://github.com/unit8co/darts/pull/1957) by [Antoine Madrona](https://github.com/madtoinou).
 - Fixed a bug in `NLinearModel` where `normalize=True` and past covariates could not be used at the same time. [#1873](https://github.com/unit8co/darts/pull/1873) by [Eliot Zubkoff](https://github.com/Eliotdoesprogramming).
-- Properly raising an error when an `EnsembleModel` containing at least one `LocalForecastingModel` is calling `historical_forecasts` with `retrain=False`.  [#1815](https://github.com/unit8co/darts/pull/#1815) by [Antoine Madrona](https://github.com/madtoinou).
+- Raise an error when an `EnsembleModel` containing at least one `LocalForecastingModel` is calling `historical_forecasts` with `retrain=False`.  [#1815](https://github.com/unit8co/darts/pull/#1815) by [Antoine Madrona](https://github.com/madtoinou).
+- 🔴 Dropped support for lambda functions in `add_encoders`’s “custom” encoder in favor of named functions to ensure that models can be exported. [#1957](https://github.com/unit8co/darts/pull/1957) by [Antoine Madrona](https://github.com/madtoinou).
 
 ### For developers of the library:
 

setup_u8darts.py

@@ -29,7 +29,7 @@ def read_requirements(path):
 
 setup(
     name="u8darts",
-    version="0.25.0",
+    version="0.26.0",
     description="A python library for easy manipulation and forecasting of time series.",
     long_description=LONG_DESCRIPTION,
     long_description_content_type="text/markdown",