Adapt to scikit-learn 1.8.0

doc/requirements.txt

@@ -5,5 +5,5 @@ nbconvert==6.4.4
 nbformat==5.3.0
 numpydoc>=1.5.0
 pandas>=0.25.3,<=2.3.3
-scikit-learn>=0.22.2,<=1.7.2
+scikit-learn>=1.7.2,<1.9.0
 sphinx-copybutton>=0.5.0

khiops/sklearn/dataset.py

@@ -1077,7 +1077,7 @@ def __init__(self, name, array, key=None):
             raise TypeError(type_error_message("array", array, np.ndarray, Sequence))
 
         # Initialize the members
-        self.data_source = check_array(array, ensure_2d=True, force_all_finite=False)
+        self.data_source = check_array(array, ensure_2d=True, ensure_all_finite=False)
         self.column_ids = column_or_1d(range(self.data_source.shape[1]))
         self.khiops_types = {
             column_id: get_khiops_type(self.data_source.dtype)

packaging/conda/meta.yaml

@@ -25,7 +25,7 @@ requirements:
     - python
     - khiops-core =11.0.0
     - pandas >=0.25.3,<=2.3.3
-    - scikit-learn >=0.22.2
+    - scikit-learn>=1.7.2,<1.9.0
   run_constrained:
     # do not necessary use the latest version
     # to avoid undesired breaking changes

packaging/docker/khiopspydev/Dockerfile.rocky

@@ -21,16 +21,12 @@ RUN true \
     git \
     pandoc \
     wget \
-  # Install Python 3.11 if on Rocky 8 \
-  && if [ "$KHIOPSDEV_OS" = "rocky8" ]; then \
+  # Install Python 3.11 on Rocky 8 or 9 as they come with obsolete versions (<= 3.9) \
+  && if [ "$KHIOPSDEV_OS" = "rocky8" -o "$KHIOPSDEV_OS" = "rocky9" ]; then \
        dnf install -y \
        python3.11 \
        python3.11-pip \
        python3.11-setuptools ; \
-     else \
-       dnf install -y \
-       python3-setuptools \
-       python3-pip ; \
      fi \
   # Get Linux distribution codename \
   && if [ -f /etc/os-release ]; then . /etc/os-release; fi \

pyproject.toml

@@ -106,7 +106,7 @@ requires-python = ">=3.8"
 dependencies = [
     # do not use the latest versions, to avoid undesired breaking changes
     "pandas>=0.25.3,<=2.3.3",
-    "scikit-learn>=0.22.2,<=1.7.2",
+    "scikit-learn>=1.7.2,<1.9.0",
 ]
 
 [project.urls]

tests/test_sklearn.py

@@ -18,7 +18,7 @@
 import numpy as np
 import pandas as pd
 from sklearn.exceptions import NotFittedError
-from sklearn.utils.estimator_checks import check_estimator
+from sklearn.utils.estimator_checks import estimator_checks_generator
 from sklearn.utils.validation import check_is_fitted
 
 import khiops.core as kh
@@ -1784,9 +1784,7 @@ def test_sklearn_check_estimator(self):
             # Execute sklearn's estimator test battery
             print("")
             for khiops_estimator in khiops_estimators:
-                for estimator, check in check_estimator(
-                    khiops_estimator, generate_only=True
-                ):
+                for estimator, check in estimator_checks_generator(khiops_estimator):
                     check_name = check.func.__name__
                     if check_name == "check_n_features_in_after_fitting":
                         continue