Merge remote-tracking branch 'upstream/main' into fix-resid-double-sq

.all-contributorsrc

@@ -176,6 +176,17 @@
         "maintenance"
       ]
     },
+    {
+      "login": "meraldoantonio",
+      "name": "Meraldo Antonio",
+      "avatar_url": "https://avatars.githubusercontent.com/u/37468543?v=4",
+      "profile": "https://github.com/meraldoantonio",
+      "contributions": [
+        "bug",
+        "code",
+        "doc"
+      ]
+    },
     {
       "login": "szepeviktor",
       "name": "Viktor Szépe",

.github/workflows/test.yml

@@ -103,7 +103,7 @@ jobs:
         run: make test
 
       - name: Publish code coverage
-        uses: codecov/codecov-action@v4
+        uses: codecov/codecov-action@v5
 
   run-tests-all-extras:
     needs: code-quality
@@ -142,4 +142,4 @@ jobs:
         run: make test
 
       - name: Publish code coverage
-        uses: codecov/codecov-action@v4
+        uses: codecov/codecov-action@v5

CODEOWNERS

@@ -0,0 +1,14 @@
+# The file specifies framework level core developers for automated review requests
+#
+# Note: historically, this file has been used to maintain a list of
+# algorithm maintainers as specified in GOVERNANCE.md.
+# This is no longer the case, algorithm maintainers are now
+# specified directly in the estimator,
+# in the "maintainers" tag of the respective scikit-base object.
+#
+# Algorithm maintainers are programmatically queryable
+# via Estimator.get_class_tag("maintainers").
+# Further lookup such as "which algorithms does M maintain"
+# can be carried out using registry.all_estimators
+
+* @achieveordie @benheid @fkiraly @fnhirwa @geetu040 @pranavvp16 @sairevanth25 @XinyuWuu @yarnabrina

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 2.7.0 out now!** [Read the release notes here.](https://skpro.readthedocs.io/en/latest/changelog.html).
+:rocket: **Version 2.8.0 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": "2.7.0 (stable)",
+    "name": "2.8.0 (stable)",
+    "version": "stable",
+    "url": "https://skpro.readthedocs.io/en/v2.8.0/"
+  },
+  {
+    "name": "2.7.0",
     "version": "stable",
     "url": "https://skpro.readthedocs.io/en/v2.7.0/"
   },

docs/source/changelog.rst

@@ -15,6 +15,46 @@ You can also subscribe to ``skpro``'s
 For planned changes and upcoming releases, see roadmap in the
 `issue tracker <https://github.com/sktime/skpro/issues>`_.
 
+[2.8.0] - 2024-11-17
+====================
+
+Feature and maintenance release.
+
+Dependency changes
+~~~~~~~~~~~~~~~~~~
+
+* ``scikit-base`` bounds have been updated to ``>=0.6.1,<0.13.0``.
+* ``pymc`` is now a soft dependency, for probabilistic regressors.
+* ``polars`` (data container soft dependency) bounds have been updated to ``<1.14.0``.
+
+Enhancements
+~~~~~~~~~~~~
+
+* [ENH] Creating a new Bayesian Regressor with ``pymc`` as a backend (:pr:`358`) :user:`meraldoantonio`
+* [ENH] add suite test for docstring and ``get_test_params`` coverage (:pr:`482`) :user:`fkiraly`
+* [ENH] Synchronize dependency checker with ``sktime`` counterpart (:pr:`490`) :user:`meraldoantonio`
+
+Maintenance
+~~~~~~~~~~~
+
+* [MNT] fix failing ``code-quality`` CI step (:pr:`483`) :user:`fkiraly`
+* [MNT] [Dependabot](deps): Update ``scikit-base`` requirement from ``<0.12.0,>=0.6.1`` to ``>=0.6.1,<0.13.0`` (:pr:`483`) :user:`dependabot[bot]`
+* [MNT] [Dependabot](deps): Update ``sphinx-gallery`` requirement from ``<0.18.0`` to ``<0.19.0`` (:pr:`481`) :user:`dependabot[bot]`
+* [MNT] [Dependabot](deps): Update ``sphinx-issues`` requirement from ``<5.0.0`` to ``<6.0.0`` (:pr:`484`) :user:`dependabot[bot]`
+* [MNT] [Dependabot](deps): Update ``polars`` requirement from ``<1.10.0`` to ``<1.14.0`` (:pr:`491`) :user:`dependabot[bot]`
+* [MNT] [Dependabot](deps): Bump codecov/codecov-action from ``4`` to ``5`` (:pr:`494`) :user:`dependabot[bot]`
+
+Documentation
+~~~~~~~~~~~~~
+
+* [DOC] in docstring, rename ``Example``  to ``Examples`` sections (:pr:`487`) :user:`fkiraly`
+
+Contributors
+~~~~~~~~~~~~
+
+:user:`fkiraly`,
+:user:`meraldoantonio`
+
 
 [2.7.0] - 2024-10-08
 ====================

pyproject.toml

@@ -1,6 +1,6 @@
 [project]
 name = "skpro"
-version = "2.7.0"
+version = "2.8.0"
 description = "A unified framework for tabular probabilistic regression, time-to-event prediction, and probability distributions in python"
 authors = [
     {name = "skpro developers", email = "[email protected]"},
@@ -42,7 +42,7 @@ dependencies = [
     "numpy>=1.21.0,<2.2",
     "pandas>=1.1.0,<2.3.0",
     "packaging",
-    "scikit-base>=0.6.1,<0.12.0",
+    "scikit-base>=0.6.1,<0.13.0",
     "scikit-learn>=0.24.0,<1.6.0",
     "scipy<2.0.0,>=1.2.0",
 ]
@@ -57,6 +57,7 @@ all_extras = [
     "ngboost<0.6.0; python_version < '3.13'",
     "polars<1.14.0",
     "pyarrow<14.0.0; python_version < '3.12'",
+    "pymc; python_version < '3.13'",
     "scikit-survival<0.24.0; python_version < '3.13'",
     "statsmodels>=0.12.1",
 ]

skpro/__init__.py

@@ -1,6 +1,6 @@
 """skpro."""
 
-__version__ = "2.7.0"
+__version__ = "2.8.0"
 
 __all__ = ["show_versions"]
 

skpro/base/_base.py

@@ -28,30 +28,6 @@ class BaseObject(_CommonTags, _BaseObject):
     def __init__(self):
         super().__init__()
 
-        import sys
-        from warnings import warn
-
-        from packaging.specifiers import SpecifierSet
-
-        py39_or_higher = SpecifierSet(">=3.9")
-        sys_version = sys.version.split(" ")[0]
-
-        # 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(
-                f"From skpro 2.5.0, skpro requires Python version >=3.9, "
-                f"but found {sys_version}. "
-                "The package can still be installed, until 3.8 end of life "
-                "is reached, "
-                "but some functionality may not work as test coverage is dropped."
-                "Kindly note for context: python 3.8 will reach end of life "
-                "in October 2024, and multiple skpro core dependencies, "
-                "including scikit-learn, have already dropped support for 3.8. ",
-                category=DeprecationWarning,
-                stacklevel=2,
-            )
-
 
 class BaseEstimator(_CommonTags, _BaseEstimator):
     """Base class for fittable objects."""