Release 2.7.0 (#476)

Release PR for 2.7.0

* changelog
* version bump
* updated project title and email

README.md

@@ -1,6 +1,6 @@
 <a href="https://skpro.readthedocs.io/en/latest"><img src="https://github.com/sktime/skpro/blob/main/docs/source/images/skpro-banner.png" width="500" align="right" /></a>
 
-:rocket: **Version 2.6.0 out now!** [Read the release notes here.](https://skpro.readthedocs.io/en/latest/changelog.html).
+:rocket: **Version 2.7.0 out now!** [Read the release notes here.](https://skpro.readthedocs.io/en/latest/changelog.html).
 
 `skpro` is a library for supervised probabilistic prediction in python.
 It provides `scikit-learn`-like, `scikit-base` compatible interfaces to:

docs/source/_static/switcher.json

@@ -5,7 +5,12 @@
     "url": "https://skpro.readthedocs.io/en/latest/"
   },
   {
-    "name": "2.6.0 (stable)",
+    "name": "2.7.0 (stable)",
+    "version": "stable",
+    "url": "https://skpro.readthedocs.io/en/v2.7.0/"
+  },
+  {
+    "name": "2.6.0",
     "version": "stable",
     "url": "https://skpro.readthedocs.io/en/v2.6.0/"
   },

docs/source/changelog.rst

@@ -16,6 +16,58 @@ For planned changes and upcoming releases, see roadmap in the
 `issue tracker <https://github.com/sktime/skpro/issues>`_.
 
 
+[2.7.0] - 2024-10-08
+====================
+
+Maintenance release with ``python 3.13`` support.
+
+Also contains:
+
+* new ``update`` unified interface point for probabilistic regressors,
+  to enable online learning and Bayesian updates in models
+* dependency updates
+
+Dependency changes
+~~~~~~~~~~~~~~~~~~
+
+* ``skpro`` is now compatible with ``python 3.13``.
+* ``scikit-base`` bounds have been updated to ``>=0.6.1,<0.12.0``.
+* ``polars`` (data container soft dependency) bounds have been updated to ``<1.10.0``.
+* dead (unimported) soft dependencies have been removed: ``attrs``, ``tabulate``, ``uncertainties``.
+
+Core interface changes
+~~~~~~~~~~~~~~~~~~~~~~
+
+Probabilistic regressors and time-to-event predictors now have an ``update`` method.
+The ``update`` method is the unified interface point for incremental fitting strategies,
+such as online learning, efficient re-fit strategies, or Bayesian updates.
+
+Whether a non-trivial ``update`` method is implemented depends on the specific estimator,
+this can be inspected via the ``capability:update`` tag of the estimator.
+
+Estimators without a dedicated ``update`` method, that is, those with
+``capability:update=False``, implement the trivial ``update`` where no update
+is performed, with the internal estimator state remaining unchanged.
+
+Enhancements
+~~~~~~~~~~~~
+
+* [ENH] online update capability for probabilistic regressors (:pr:`462`) :user:`fkiraly`
+* [ENH] online refitting strategy after N data points (:pr:`469`) :user:`fkiraly`
+* [ENH] ``datatypes`` examples - docstrings, deepcopy (:pr:`466`) :user:`fkiraly`
+* [ENH] sync proba predict utils with ``sktime`` (:pr:`465`) :user:`fkiraly`
+* [ENH] minor refactor - remove unnecessary `__init__` methods in `datatypes` module (:pr:`475`) :user:`fkiraly`
+
+Maintenance
+~~~~~~~~~~~
+
+* [MNT] ``python 3.13`` support, add ``3.13`` to CI test matrix (:pr:`471`) :user:`fkiraly`
+* [MNT] differential testing - handle non-package changes in ``pyproject.toml`` (:pr:`472`) :user:`fkiraly`
+* [MNT] change macos runners to ``macos-latest`` version (:pr:`477`) :user:`fkiraly`
+* [MNT] [Dependabot](deps): Update ``scikit-base`` requirement from ``<0.10.0,>=0.6.1`` to ``>=0.6.1,<0.12.0`` (:pr:`468`) :user:`dependabot[bot]`
+* [MNT] [Dependabot](deps): Update ``polars`` requirement from ``<1.7.0`` to ``<1.10.0`` (:pr:`473`) :user:`dependabot[bot]`
+
+
 [2.6.0] - 2024-09-08
 ====================
 

pyproject.toml

@@ -1,15 +1,15 @@
 [project]
 name = "skpro"
-version = "2.6.0"
-description = "A unified framework for probability distributions and probabilistic supervised regression"
+version = "2.7.0"
+description = "A unified framework for tabular probabilistic regression, time-to-event prediction, and probability distributions in python"
 authors = [
-    {name = "skpro developers", email = "sktime.[email protected]"},
+    {name = "skpro developers", email = "info@sktime.net"},
     {name = "Franz Király"},
     {name = "Frithjof Gressmann"},
     {name = "Vitaly Davydov"},
 ]
 maintainers = [
-    {name = "skpro developers", email = "sktime.[email protected]"},
+    {name = "skpro developers", email = "info@sktime.net"},
 ]
 readme = "README.md"
 keywords = [

skpro/__init__.py

@@ -1,6 +1,6 @@
 """skpro."""
 
-__version__ = "2.6.0"
+__version__ = "2.7.0"
 
 __all__ = ["show_versions"]
 

skpro/base/_base.py

@@ -36,7 +36,7 @@ def __init__(self):
         py39_or_higher = SpecifierSet(">=3.9")
         sys_version = sys.version.split(" ")[0]
 
-        # todo 2.7.0 - check whether python 3.8 eol is reached.
+        # todo 2.8.0 - check whether python 3.8 eol is reached.
         # If yes, remove this msg.
         if sys_version not in py39_or_higher:
             warn(