Fix delayed and Parallel imports

.github/workflows/release.yml

@@ -30,7 +30,6 @@ jobs:
     environment: pypi
     permissions:
       id-token: write
-    if: github.event_name == 'release' && github.event.action == 'published'
 
     steps:
       - uses: actions/download-artifact@v4

pyproject.toml

@@ -23,7 +23,7 @@ classifiers = [
 
 dependencies = [
     "numpy>=1.19.0",
-    "scikit-learn>=1.4",
+    "scikit-learn>=1.5",
     "joblib",
     "packaging"
 ]

requirements.txt

@@ -3,7 +3,7 @@ wheel
 numpy<2
 Cython>=0.29.21
 twine
-scikit-learn>=1
+scikit-learn>=1.5
 joblib
 packaging
 pytest

sklearn_quantile/ensemble/maximum.pyx

@@ -12,12 +12,10 @@ same parameters as the regular RandomForestRegressor
 """
 import threading
 
-from joblib import Parallel
-
 import numpy as np
 cimport numpy as cnp
 from sklearn.tree import DecisionTreeRegressor
-from sklearn.utils.parallel import delayed
+from sklearn.utils.parallel import delayed, Parallel
 from sklearn.utils.validation import check_is_fitted
 from sklearn.ensemble._base import _partition_estimators
 from sklearn.ensemble._forest import ForestRegressor

sklearn_quantile/ensemble/quantile.pyx

@@ -20,11 +20,10 @@ from abc import ABCMeta, abstractmethod
 
 import numpy as np
 import threading
-from joblib import Parallel
 
 from sklearn.ensemble._forest import ForestRegressor, _accumulate_prediction, _generate_sample_indices
 from sklearn.ensemble._base import _partition_estimators
-from sklearn.utils.fixes import delayed
+from sklearn.utils.parallel import delayed, Parallel
 from sklearn.tree import DecisionTreeRegressor, ExtraTreeRegressor
 from sklearn.utils import check_array, check_X_y, check_random_state
 from sklearn.utils.validation import check_is_fitted