scikit-learn · TomDLT · Jan 26, 2021 · Nov 3, 2020 · Nov 23, 2020 · Dec 4, 2020
diff --git a/sklearn/semi_supervised/_label_propagation.py b/sklearn/semi_supervised/_label_propagation.py
@@ -67,7 +67,7 @@
 from ..neighbors import NearestNeighbors
 from ..utils.extmath import safe_sparse_dot
 from ..utils.multiclass import check_classification_targets
-from ..utils.validation import check_is_fitted, check_array
+from ..utils.validation import check_is_fitted
 from ..utils.validation import _deprecate_positional_args
 from ..exceptions import ConvergenceWarning

@@ -190,8 +190,9 @@ class labels.
        """
        check_is_fitted(self)

-        X_2d = check_array(X, accept_sparse=['csc', 'csr', 'coo', 'dok',
-                                             'bsr', 'lil', 'dia'])
+        X_2d = self._validate_data(
+            X, accept_sparse=['csc', 'csr', 'coo', 'dok', 'bsr', 'lil', 'dia'],
+            reset=False)
        weight_matrices = self._get_kernel(self.X_, X_2d)
        if self.kernel == 'knn':
            probabilities = np.array([

diff --git a/sklearn/tests/test_common.py b/sklearn/tests/test_common.py
@@ -282,7 +282,6 @@ def test_search_cv(estimator, check, request):
    'neighbors',
    'pipeline',
    'random_projection',
-    'semi_supervised',
 }

 N_FEATURES_IN_AFTER_FIT_ESTIMATORS = [