Add support scikit-learn 1.9.0

.github/workflows/docs.yml

@@ -1,14 +1,6 @@
 name: Deploy Docs
 
 on:
-    push:
-        branches:
-            - main
-        paths:
-            - 'docs/**'
-            - 'openmodels/**'
-            - 'pyproject.toml'
-            - '.github/workflows/docs.yml'
     workflow_dispatch:
 
 permissions:

openmodels/serializers/sklearn/_custom_estimator.py

@@ -19,7 +19,7 @@ def is_valid_estimator(name: str, cls: Any) -> bool:
 
 
 def normalize_estimators(
-    estimators: Union[Callable[..., Any], List[Any], Tuple[Any, ...], Dict[str, Any]]
+    estimators: Union[Callable[..., Any], List[Any], Tuple[Any, ...], Dict[str, Any]],
 ) -> List[Any]:
     """Normalize input into a flat list of estimators or (name, class) items."""
     if not isinstance(estimators, (list, tuple, set)):

openmodels/test_helpers.py

@@ -47,7 +47,7 @@ def fit(
 
 
 def ensure_correct_sparse_format(
-    x: Union[np.ndarray, csr_matrix]
+    x: Union[np.ndarray, csr_matrix],
 ) -> Union[np.ndarray, csr_matrix]:
     """
     Ensure the input data is in the correct format for SVM models.

pyproject.toml

@@ -13,11 +13,11 @@ python = ">=3.10,<4.0"
 scikit-learn = "^1.6.0"
 
 [tool.poetry.group.dev.dependencies]
-poetry-types = "^0.5.1"
+poetry-types = "^0.6.2"
 mypy = "^1.10.0"
-pytest = "^8.2.2"
+pytest = "^9.0.3"
 pre-commit = "^3.7.1"
-black = "^24.4.2"
+black = "^26.3.1"
 flake8 = "^7.1.1"
 pytest-cov = "^7.0.0"