Fix nightly sklearn pin

.github/workflows/build-test.yml

@@ -24,6 +24,7 @@ jobs:
           ci-sklearn16,
           ci-sklearn17,
           ci-sklearn18,
+          ci-sklearn19,
           ci-sklearn-nightly
         ]
 

pyproject.toml

@@ -202,12 +202,21 @@ python = "~=3.13.0"
 
 [tool.pixi.feature.sklearn18.dependencies]
 scikit-learn = "~=1.8.0"
-fairlearn = "~=0.12.0"
+fairlearn = "~=0.14.0"
 pandas = "~=2.3.0"
 numpy = "~=2.4.0"
-scipy = "~=1.16.0"
-# catboost = ">=1.0"
-# TODO: catboost does not support python 3.14 - issue https://github.com/catboost/catboost/issues/2989
+scipy = "~=1.17.0"
+catboost = ">=1.0"
+quantile-forest = "~=1.4.0"
+python = "~=3.14.0"
+
+[tool.pixi.feature.sklearn19.dependencies]
+scikit-learn = "~=1.9.0"
+fairlearn = "~=0.14.0"
+pandas = "~=3.0.0"
+numpy = "~=2.5.0"
+scipy = "~=1.18.0"
+catboost = ">=1.0"
 quantile-forest = "~=1.4.0"
 python = "~=3.14.0"
 
@@ -225,7 +234,7 @@ extra-index-urls = ["https://pypi.anaconda.org/scientific-python-nightly-wheels/
 
 [tool.pixi.feature.sklearn-nightly.pypi-dependencies]
 # The version value here needs to be exact, hence == instead of ~=
-scikit-learn = "==1.9.dev0"
+scikit-learn = "==1.10.dev0"
 fairlearn = "*"
 pandas = "*"
 numpy = "*"
@@ -248,4 +257,5 @@ ci-sklearn15 = ["rich", "tests", "lint", "sklearn15"]
 ci-sklearn16 = ["rich", "tests", "lint", "sklearn16"]
 ci-sklearn17 = ["rich", "tests", "lint", "sklearn17"]
 ci-sklearn18 = ["rich", "tests", "lint", "sklearn18"]
+ci-sklearn19 = ["rich", "tests", "lint", "sklearn19"]
 ci-sklearn-nightly = ["rich", "tests", "lint", "sklearn-nightly"]

skops/card/_model_card.py

@@ -1045,7 +1045,7 @@ def add_permutation_importances(
             ax,
             x=permutation_importances.importances[sorted_importances_idx].T,
             tick_labels=columns[sorted_importances_idx],
-            vert="horizontal",
+            orientation="horizontal",
         )
         ax.set_title(plot_name)
         ax.set_xlabel("Decrease in Score")

skops/card/tests/test_card.py

@@ -1732,7 +1732,7 @@ def test_copy_plots(self, destination_path, model_card):
             model_card = model_card.add_plot(fig1=fig_1_path)
 
             plt.plot([7, 6, 5, 4])
-            fig_2_path = "fig2.png"
+            fig_2_path = Path(plot_path) / "fig2.png"
             plt.savefig(fig_2_path)
             model_card = model_card.add_plot(fig2=fig_2_path)
 

skops/io/tests/test_persist.py

@@ -314,7 +314,7 @@ def _unsupported_estimators(type_filter=None):
 
 
 @pytest.mark.parametrize(
-    "estimator", _tested_estimators(), ids=_get_check_estimator_ids
+    "estimator", list(_tested_estimators()), ids=_get_check_estimator_ids
 )
 def test_can_persist_non_fitted(estimator):
     """Check that non-fitted estimators can be persisted."""
@@ -394,7 +394,7 @@ def get_input(estimator):
 
 
 @pytest.mark.parametrize(
-    "estimator", _tested_estimators(), ids=_get_check_estimator_ids
+    "estimator", list(_tested_estimators()), ids=_get_check_estimator_ids
 )
 def test_can_persist_fitted(estimator):
     """Check that fitted estimators can be persisted and return the right results."""
@@ -426,7 +426,9 @@ def test_can_persist_fitted(estimator):
 
 
 @pytest.mark.parametrize(
-    "ufunc", _tested_ufuncs(), ids=SCIPY_UFUNC_TYPE_NAMES + NUMPY_UFUNC_TYPE_NAMES
+    "ufunc",
+    list(_tested_ufuncs()),
+    ids=SCIPY_UFUNC_TYPE_NAMES + NUMPY_UFUNC_TYPE_NAMES,
 )
 def test_can_trust_ufuncs(ufunc):
     dumped = dumps(ufunc)
@@ -436,7 +438,7 @@ def test_can_trust_ufuncs(ufunc):
 
 @pytest.mark.parametrize(
     "type_",
-    _tested_types(),
+    list(_tested_types()),
     ids=PRIMITIVE_TYPE_NAMES + NUMPY_DTYPE_TYPE_NAMES + CONTAINER_TYPE_NAMES,
 )
 def test_can_trust_types(type_):
@@ -552,7 +554,7 @@ def test_gradient_boosting_estimators_have_no_untrusted_types(estimator, problem
 
 
 @pytest.mark.parametrize(
-    "estimator", _unsupported_estimators(), ids=_get_check_estimator_ids
+    "estimator", list(_unsupported_estimators()), ids=_get_check_estimator_ids
 )
 def test_unsupported_type_raises(estimator):
     """Estimators that are known to fail should raise an error"""

skops/utils/_fixes.py

@@ -4,10 +4,22 @@
 from dataclasses import dataclass, field
 
 
-def boxplot(ax, *, tick_labels, **kwargs):
-    """A function to handle labels->tick_labels deprecation.
-    labels is deprecated in 3.9 and removed in 3.11.
+def boxplot(ax, *, tick_labels, orientation="vertical", **kwargs):
+    """A function to handle matplotlib deprecations across supported versions.
+
+    - ``labels`` -> ``tick_labels``: ``labels`` is deprecated in 3.9 and removed
+      in 3.11.
+    - ``vert`` (bool) -> ``orientation`` (str): ``orientation`` was added in 3.10
+      and ``vert`` was deprecated in 3.11 and removed in 3.13.
     """
+    from matplotlib import __version__ as mpl_version
+    from packaging.version import parse
+
+    if parse(mpl_version) >= parse("3.10"):
+        kwargs["orientation"] = orientation
+    else:
+        kwargs["vert"] = orientation == "vertical"
+
     try:
         return ax.boxplot(tick_labels=tick_labels, **kwargs)
     except TypeError: