fix builds due to OneHotEncoder sparse parameter breaking change in scikit-learn

.github/workflows/CD.yml

@@ -84,6 +84,10 @@ jobs:
           pip install -r requirements.txt
           pip install -r requirements-dev.txt
         working-directory: ${{ env.widgetDirectory }}
+      - name: Install rai_test_utils locally until next version is released
+        run: |
+          pip install -v -e .
+        working-directory: rai_test_utils
       - name: pip freeze
         run: pip freeze
       - name: replace README for raiwidgets

notebooks/responsibleaidashboard/tabular/responsibleaidashboard-census-classification-model-debugging.ipynb

@@ -88,6 +88,8 @@
    "outputs": [],
    "source": [
     "from raiutils.dataset import fetch_dataset\n",
+    "import sklearn\n",
+    "from packaging import version\n",
     "from sklearn.pipeline import Pipeline\n",
     "from sklearn.impute import SimpleImputer\n",
     "from sklearn.preprocessing import StandardScaler, OneHotEncoder\n",
@@ -98,6 +100,12 @@
     "    y = dataset[[target_feature]]\n",
     "    return X, y\n",
     "\n",
+    "# for older scikit-learn versions use sparse, for newer sparse_output:\n",
+    "if version.parse(sklearn.__version__) < version.parse('1.2'):\n",
+    "    ohe_params = {\"sparse\": False}\n",
+    "else:\n",
+    "    ohe_params = {\"sparse_output\": False}\n",
+    "\n",
     "def create_classification_pipeline(X):\n",
     "    pipe_cfg = {\n",
     "        'num_cols': X.dtypes[X.dtypes == 'int64'].index.values.tolist(),\n",
@@ -109,7 +117,7 @@
     "    ])\n",
     "    cat_pipe = Pipeline([\n",
     "        ('cat_imputer', SimpleImputer(strategy='constant', fill_value='?')),\n",
-    "        ('cat_encoder', OneHotEncoder(handle_unknown='ignore', sparse=False))\n",
+    "        ('cat_encoder', OneHotEncoder(handle_unknown='ignore', **ohe_params))\n",
     "    ])\n",
     "    feat_pipe = ColumnTransformer([\n",
     "        ('num_pipe', num_pipe, pipe_cfg['num_cols']),\n",