Release 0.19.0 (#4654)

Release PR for 0.19.0

* version number bump
* changelog
* team update

README.md

@@ -4,7 +4,7 @@
 
 > A unified interface for machine learning with time series
 
-:rocket: **Version 0.18.1 out now!** [Check out the release notes here](https://www.sktime.net/en/latest/changelog.html).
+:rocket: **Version 0.19.0 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/about/team.rst

@@ -24,6 +24,8 @@ subject to `widening of governance model <https://github.com/sktime/community-or
      - :user:`fkiraly`
    * - Sagar Mishra
      - :user:`achieveordie`
+   * - Ugochukwu Onyeka
+     - :user:`onyekaugochukwu`
    * - Kiril Ralinovski
      - :user:`kirilral`
    * - Marc Rovira
@@ -74,12 +76,12 @@ Core Developers
      - :user:`benheid`
    * - Daniel Bartling
      - :user:`danbartl`
-   * - Jonathan Bechtel
-     - :user:`jonathanbechtel`
    * - Franz Király
      - :user:`fkiraly`
    * - Freddy A Boulton
      - :user:`freddyaboulton`
+   * - Jonathan Bechtel
+     - :user:`jonathanbechtel`
    * - Kiril Ralinovski
      - :user:`kirilral`
    * - Lovkush Agarwal
@@ -94,6 +96,8 @@ Core Developers
      - :user:`khrapovs`
    * - Svea Marie Meyer
      - :user:`SveaMeyer13`
+   * - Ugochukwu Onyeka
+     - :user:`onyekaugochukwu`
 
 Former Core Developers
 ----------------------

docs/source/changelog.rst

@@ -14,6 +14,64 @@ For upcoming changes and next releases, see our `milestones <https://github.com/
 For our long-term plan, see our :ref:`roadmap`.
 
 
+Version 0.19.0 - 2023-05-30
+---------------------------
+
+Maintenance release - scheduled ``pandas`` dependency updates, scheduled deprecations.
+
+For last non-maintenance content update, see 0.18.1.
+
+Contents
+~~~~~~~~
+
+* ``pandas 2`` is now fully supported.
+  All ``sktime`` native functionality remains compatible with ``pandas 1``, ``>=1.1.0``.
+* scheduled deprecation of ``tensorflow`` based probability interface.
+
+Dependency changes
+~~~~~~~~~~~~~~~~~~
+
+* ``pandas`` version bounds now allow versions ``2.0.X`` in addition to
+  currently supported ``pandas 1`` versions.
+  This concludes the interim period for experimental support and
+  begins full support for ``pandas 2``, with aim to support any ``pandas 2`` version.
+* ``tensorflow-probability`` is no longer a dependency or soft dependency,
+  it has also been removed from all dependency sets (including ``dl``)
+
+Deprecations and removals
+~~~~~~~~~~~~~~~~~~~~~~~~~
+
+Python 3.7 end-of-life
+^^^^^^^^^^^^^^^^^^^^^^
+
+Python 3.7 reaches end-of-life on Jun 27, 2023, and core dependencies of ``sktime``
+have already dropped support for python 3.7 with their most recent versions
+(e.g., ``scikit-learn``).
+
+``sktime`` will drop support for python 3.7 with 0.20.0, or the first minor release
+after Jun 27, 2023, whichever is later.
+
+Dependencies
+^^^^^^^^^^^^
+
+* ``tensorflow-probability`` is no longer a dependency or soft dependency,
+  it has also been removed from all dependency sets (including ``dl``)
+
+Forecasting
+^^^^^^^^^^^
+
+* The ``legacy_interface`` argument has been removed from
+  forecasters' ``predict_proba``. The method now always returns a ``BaseDistribution``
+  object, in line with prior default behaviour, i.e., ``legacy_interface=False``.
+
+List of PR
+~~~~~~~~~~
+
+* [MNT] 0.19.0 change action - relax ``pandas`` bound to ``<2.1.0`` (:pr:`4429`) :user:`fkiraly`
+* [MNT] 0.19.0 release action - tests for both ``pandas 1`` and ``pandas 2`` (:pr:`4622`) :user:`fkiraly`
+* [MNT] 0.19.0 deprecations and changes (:pr:`4646`) :user:`fkiraly`
+
+
 Version 0.18.1 - 2023-05-22
 ---------------------------
 
@@ -223,7 +281,7 @@ Contents
 * ``pandas 2`` support continues in testing/experimental period until 0.18.last.
   All ``sktime`` native functionality is ``pandas 2`` compatible, the transition period
   allows testing of deployments and custom extensions.
-  See instructions below for upgrading dependenet code to ``pandas 2``, or remaining on ``pandas 1``.
+  See instructions below for upgrading dependent code to ``pandas 2``, or remaining on ``pandas 1``.
 * scheduled deprecation of ``tensorflow`` based probability interface and ``VectorizedDF`` methods.
 
 Dependency changes

pyproject.toml

@@ -1,6 +1,6 @@
 [project]
 name = "sktime"
-version = "0.18.1"
+version = "0.19.0"
 description = "A unified framework for machine learning with time series"
 authors = [
     {name = "sktime developers", email = "sktime.toolbox@gmail.com"},
@@ -12,6 +12,7 @@ maintainers = [
     {name = "Kiril Ralinovski"},
     {name = "Marc Rovira"},
     {name = "Sagar Mishra"},
+    {name = "Ugochukwu Onyeka"},
 ]
 readme = "README.md"
 keywords = [
@@ -80,7 +81,6 @@ all_extras = [
     "statsmodels>=0.12.1",
     "stumpy>=1.5.1; python_version < '3.11'",
     "tbats>=1.1.0",
-    "tensorflow-probability<0.20.0; python_version < '3.11'",
     "tensorflow; python_version < '3.11'",
     "tsfresh>=0.17.0",
     "tslearn>=0.5.2; python_version < '3.11'",
@@ -135,7 +135,6 @@ docs = [
 
 dl = [
     "tensorflow",
-    "tensorflow-probability",
 ]
 
 pandas1 = [

sktime/__init__.py

@@ -2,7 +2,7 @@
 
 """sktime."""
 
-__version__ = "0.18.1"
+__version__ = "0.19.0"
 
 __all__ = ["show_versions"]