chore: Compatibility with scikit-learn 1.9.0 (#1178)

Author: glemaitre

.circleci/config.yml

@@ -3,7 +3,7 @@ version: 2.1
 jobs:
   python3:
     docker:
-      - image: cimg/python:3.9
+      - image: cimg/python:3.13
     environment:
       - OMP_NUM_THREADS: 1
     steps:
@@ -24,7 +24,7 @@ jobs:
 
   deploy:
     docker:
-      - image: cimg/python:3.9
+      - image: cimg/python:3.13
     environment:
       - USERNAME: "glemaitre"
       - ORGANIZATION: "imbalanced-learn"

.github/workflows/circleci-artifacts-redirector.yml

@@ -16,7 +16,7 @@ jobs:
     name: Run CircleCI artifacts redirector
     steps:
       - name: GitHub Action step
-        uses: scientific-python/circleci-artifacts-redirector-action@v1
+        uses: scientific-python/circleci-artifacts-redirector-action@5d358ff96e96429a5c64a969bb4a574555439f4f # v1.3.1
         with:
           repo-token: ${{ secrets.GITHUB_TOKEN }}
           api-token: ${{ secrets.CIRCLE_CI }}

.github/workflows/linters.yml

@@ -14,10 +14,10 @@ jobs:
     runs-on: ubuntu-latest
 
     steps:
-      - uses: actions/checkout@v6
-      - uses: prefix-dev/setup-pixi@v0.9.3
+      - uses: actions/checkout@df4cb1c069e1874edd31b4311f1884172cec0e10 # v6.0.3
+      - uses: prefix-dev/setup-pixi@5185adfbffb4bd703da3010310260805d89ebb11 # v0.9.6
         with:
-          pixi-version: v0.51.0
+          pixi-version: v0.70.1
           frozen: true
 
       - name: Run tests

.github/workflows/tests.yml

@@ -37,10 +37,10 @@ jobs:
               environment: ci-py311-latest-tensorflow
     runs-on: ${{ matrix.os }}
     steps:
-      - uses: actions/checkout@v6
-      - uses: prefix-dev/setup-pixi@v0.9.3
+      - uses: actions/checkout@df4cb1c069e1874edd31b4311f1884172cec0e10 # v6.0.3
+      - uses: prefix-dev/setup-pixi@5185adfbffb4bd703da3010310260805d89ebb11 # v0.9.6
         with:
-          pixi-version: v0.51.0
+          pixi-version: v0.70.1
           environments: ${{ matrix.environment }}
           # we can freeze the environment and manually bump the dependencies to the
           # latest version time to time.
@@ -50,7 +50,7 @@ jobs:
         run: pixi run -e ${{ matrix.environment }} tests -n 3
 
       - name: Upload coverage reports to Codecov
-        uses: codecov/codecov-action@v5.5.2
+        uses: codecov/codecov-action@fb8b3582c8e4def4969c97caa2f19720cb33a72f # v7.0.0
         with:
           token: ${{ secrets.CODECOV_TOKEN }}
           slug: scikit-learn-contrib/imbalanced-learn

build_tools/circle/build_doc.sh

@@ -8,7 +8,9 @@ if [[ `type -t deactivate` ]]; then
 fi
 
 # Install pixi
-curl -fsSL https://pixi.sh/install.sh | bash
+# Keep this version in sync with `pixi-version` in `.github/workflows/*.yml`.
+PIXI_VERSION="v0.70.1"
+curl -fsSL https://pixi.sh/install.sh | PIXI_VERSION="${PIXI_VERSION}" bash
 export PATH=/home/circleci/.pixi/bin:$PATH
 
 # The pipefail is requested to propagate exit code

imblearn/metrics/_classification.py

@@ -165,7 +165,7 @@ def sensitivity_specificity_support(
     if average not in average_options and average != "binary":
         raise ValueError("average has to be one of " + str(average_options))
 
-    y_type, y_true, y_pred, sample_weight = _check_targets(
+    y_type, _, y_true, y_pred, sample_weight = _check_targets(
         y_true, y_pred, sample_weight=sample_weight
     )
     present_labels = unique_labels(y_true, y_pred)
@@ -1121,7 +1121,7 @@ def macro_averaged_mean_absolute_error(y_true, y_pred, *, sample_weight=None):
     >>> macro_averaged_mean_absolute_error(y_true_imbalanced, y_pred)
     0.16...
     """
-    _, y_true, y_pred, sample_weight = _check_targets(y_true, y_pred, sample_weight)
+    _, _, y_true, y_pred, sample_weight = _check_targets(y_true, y_pred, sample_weight)
     if sample_weight is not None:
         sample_weight = column_or_1d(sample_weight)
     else:

imblearn/metrics/tests/test_pairwise.py

@@ -7,7 +7,7 @@
 import pytest
 from sklearn.exceptions import NotFittedError
 from sklearn.preprocessing import LabelEncoder, OrdinalEncoder
-from sklearn.utils._testing import _convert_container
+from sklearn_compat.utils._testing import _convert_container
 
 from imblearn.metrics.pairwise import ValueDifferenceMetric
 

imblearn/over_sampling/_smote/tests/test_smoten.py

@@ -2,7 +2,7 @@
 import pytest
 from sklearn.exceptions import DataConversionWarning
 from sklearn.preprocessing import OneHotEncoder, OrdinalEncoder
-from sklearn.utils._testing import _convert_container
+from sklearn_compat.utils._testing import _convert_container
 
 from imblearn.over_sampling import SMOTEN
 

imblearn/over_sampling/tests/test_random_over_sampler.py

@@ -10,10 +10,10 @@
 import pytest
 from sklearn.datasets import make_classification
 from sklearn.utils._testing import (
-    _convert_container,
     assert_allclose,
     assert_array_equal,
 )
+from sklearn_compat.utils._testing import _convert_container
 
 from imblearn.over_sampling import RandomOverSampler