Release 1.1.0 (#1652)

Release PR for 1.1.0

* version number bump
* changelog

Author: fkiraly

CHANGELOG.md

@@ -1,5 +1,25 @@
 # Release Notes
 
+## v1.1.0
+
+Maintenance update widening compatibility ranges and consolidating dependencies:
+
+* support for python 3.11 and 3.12, added CI testing
+* support for MacOS, added CI testing
+* core dependencies have been minimized to `numpy`, `torch`, `lightning`, `scipy`, `pandas`, and `scikit-learn`.
+* soft dependencies are available in soft dependency sets: `all_extras` for all soft dependencies, and `tuning` for `optuna` based optimization.
+
+### Dependency changes
+
+* the following are no longer core dependencies and have been changed to optional dependencies : `optuna`, `statsmodels`, `pytorch-optimize`, `matplotlib`. Environments relying on functionality requiring these dependencies need to be updated to instlal these explicitly.
+* `optuna` bounds have been updated to `optuna >=3.1.0,<4.0.0`
+* `optuna-integrate` is now an additional soft dependency, in case of `optuna >=3.3.0`
+
+### Deprecations and removals
+
+* from 1.2.0, the default optimizer will be changed from `"ranger"` to `"adam"` to avoid non-`torch` dependencies in defaults. `pytorch-optimize` optimizers can still be used. Users should set the optimizer explicitly to continue using `"ranger"`.
+*  from 1.1.0, the loggers do not log figures if soft dependency `matplotlib` is not present, but will raise no exceptions in this case. To log figures, ensure tha `matplotlib` is installed.
+
 ## v1.0.0 Update to pytorch 2.0 (10/04/2023)
 
 

pyproject.toml

@@ -29,7 +29,7 @@ black = 1
 [project]
 name = "pytorch_forecasting"
 readme = "README.md"         # Markdown files are supported
-version = "1.0.0"            # is being replaced automatically
+version = "1.1.0"            # is being replaced automatically
 
 authors = [
   {name = "Jan Beitner"},

pytorch_forecasting/__init__.py

@@ -112,4 +112,4 @@
     "unpack_sequence",
 ]
 
-__version__ = "1.0.0"
+__version__ = "1.1.0"