Release 0.26.0 (#5844)

Release PR for 0.26.0

* version number bump
* changelog

README.md

@@ -4,7 +4,7 @@
 
 > A unified interface for machine learning with time series
 
-:rocket: **Version 0.25.1 out now!** [Check out the release notes here](https://www.sktime.net/en/latest/changelog.html).
+:rocket: **Version 0.26.0 out now!** [Check out the release notes here](https://www.sktime.net/en/latest/changelog.html).
 
 sktime is a library for time series analysis in Python. It provides a unified interface for multiple time series learning tasks. Currently, this includes time series classification, regression, clustering, annotation, and forecasting. It comes with [time series algorithms](https://www.sktime.net/en/stable/estimator_overview.html) and [scikit-learn] compatible tools to build, tune and validate time series models.
 

docs/source/changelog.rst

@@ -19,6 +19,72 @@ For upcoming changes and next releases, see our `milestones <https://github.com/
 For our long-term plan, see our :ref:`roadmap`.
 
 
+Version 0.26.0 - 2023-01-27
+---------------------------
+
+Maintenance release:
+
+* support for ``scikit-learn 1.4.X``
+* scheduled deprecations
+* minor bugfix
+
+For last non-maintenance content updates, see 0.25.1.
+
+Dependency changes
+~~~~~~~~~~~~~~~~~~
+
+* ``scikit-learn`` bounds have been updated to ``>=0.24.0,<1.5.0``.
+
+Deprecations and removals
+~~~~~~~~~~~~~~~~~~~~~~~~~
+
+Benchmarking, Metrics, Splitters
+^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+
+* in forecasting ``evaluate``, ``kwargs`` have been removed.
+  Users should pass backend parameters via the ``backend_params``
+  parameter instead.
+
+Data types, checks, conversions
+^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+
+* in ``check_is_mtype``, the default of ``msg_return_dict`` has now changed to ``"dict"``
+
+Forecastinng tuners
+^^^^^^^^^^^^^^^^^^
+
+* in forecasting tuners ``ForecastingGridSearchCV``, ``ForecastingRandomizedSearchCV``,
+  ``ForecastingSkoptSearchCV``, use of ``joblib`` backend specific parameters ``n_jobs``,
+  ``pre_dispatch`` has been deprecated, and will be removed in ``sktime`` 0.27.0.
+  Users should pass backend parameters via the ``backend_params`` parameter instead.
+
+Time series classification
+^^^^^^^^^^^^^^^^^^^^^^^^^^
+
+* In ``SimpleRNNClassifier``, the ``num_epochs`` parameter has been
+  renamed to ``n_epochs``. The original parameter of name ``num_epochs`` has now
+  been removed.
+
+Time series regression
+^^^^^^^^^^^^^^^^^^^^^^
+
+* In ``SimpleRNNRegressor``, the ``num_epochs`` parameter has been
+  renamed to ``n_epochs``. The original parameter of name ``num_epochs`` has now
+  been removed.
+
+Contents
+~~~~~~~~
+
+* [MNT] 0.26.0 deprecations and change actions (:pr:`5817`) :user:`fkiraly`
+* [MNT] [Dependabot](deps-dev): Update ``scikit-learn`` requirement from
+  ``<1.4.0,>=0.24`` to ``>=0.24,<1.5.0`` (:pr:`5776`) :user:`dependabot[bot]`
+* [MNT] [Dependabot](deps): Bump styfle/cancel-workflow-action from ``0.12.0``
+  to ``0.12.1`` (:pr:`5839`) :user:`dependabot[bot]`
+* [MNT] [Dependabot](deps): Bump dorny/paths-filter
+  from ``2`` to ``3`` (:pr:`5838`) :user:`dependabot[bot]`
+* [BUG] fix tag handling in ``IgnoreX`` (:pr:`5843`) :user:`tpvasconcelos`, :user:`fkiraly`
+
+
 Version 0.25.1 - 2023-01-24
 ---------------------------
 

pyproject.toml

@@ -1,6 +1,6 @@
 [project]
 name = "sktime"
-version = "0.25.1"
+version = "0.26.0"
 description = "A unified framework for machine learning with time series"
 readme = "README.md"
 keywords = [

sktime/__init__.py

@@ -1,6 +1,6 @@
 """sktime."""
 
-__version__ = "0.25.1"
+__version__ = "0.26.0"
 
 __all__ = ["show_versions"]