bump u8darts 0.27.1 to 0.27.2 and update changelog (#2179)

CHANGELOG.md

@@ -6,16 +6,24 @@ 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/0.27.1...master)
+[Full Changelog](https://github.com/unit8co/darts/compare/0.27.2...master)
 
+### For users of the library:
+**Improved**
+
+**Fixed**
+
+### For developers of the library:
+
+## [0.27.2](https://github.com/unit8co/darts/tree/0.27.2) (2023-01-21)
 ### For users of the library:
 **Improved**
 - Added `darts.utils.statistics.plot_ccf` that can be used to plot the cross correlation between a time series (e.g. target series) and the lagged values of another time series (e.g. covariates series). [#2122](https://github.com/unit8co/darts/pull/2122) by [Dennis Bader](https://github.com/dennisbader).
-- Improvements to `TimeSeries`:
-  - Improved the time series frequency inference when using slices or pandas DatetimeIndex as keys for `__getitem__`. [#2152](https://github.com/unit8co/darts/pull/2152) by [DavidKleindienst](https://github.com/DavidKleindienst).
+- Improvements to `TimeSeries`: Improved the time series frequency inference when using slices or pandas DatetimeIndex as keys for `__getitem__`. [#2152](https://github.com/unit8co/darts/pull/2152) by [DavidKleindienst](https://github.com/DavidKleindienst).
 
 **Fixed**
 - Fixed a bug when using a `TorchForecastingModel` with `use_reversible_instance_norm=True` and predicting with `n > output_chunk_length`. The input normalized multiple times. [#2160](https://github.com/unit8co/darts/pull/2160) by [FourierMourier](https://github.com/FourierMourier).
+
 ### For developers of the library:
 
 ## [0.27.1](https://github.com/unit8co/darts/tree/0.27.1) (2023-12-10)

setup_u8darts.py

@@ -29,7 +29,7 @@ def read_requirements(path):
 
 setup(
     name="u8darts",
-    version="0.27.1",
+    version="0.27.2",
     description="A python library for easy manipulation and forecasting of time series.",
     long_description=LONG_DESCRIPTION,
     long_description_content_type="text/markdown",