scikit-learn
diff --git a/‎sklearn/decomposition/_kernel_pca.py
Lines changed: 2 additions & 2 deletions b/‎sklearn/decomposition/_kernel_pca.py
Lines changed: 2 additions & 2 deletions
@@ -8,9 +8,9 @@
 from numbers import Integral, Real
 from scipy import linalg
 from scipy.sparse.linalg import eigsh
+from scipy.linalg import eigh
 
 from ..utils._arpack import _init_arpack_v0
-from ..utils.fixes import _eigh
 from ..utils.extmath import svd_flip, _randomized_eigsh
 from ..utils.validation import (
     check_is_fitted,
@@ -334,7 +334,7 @@ def _fit_transform(self, K):
 
         if eigen_solver == "dense":
             # Note: subset_by_index specifies the indices of smallest/largest to return
-            self.eigenvalues_, self.eigenvectors_ = _eigh(
+            self.eigenvalues_, self.eigenvectors_ = eigh(
                 K, subset_by_index=(K.shape[0] - n_components, K.shape[0] - 1)
             )
         elif eigen_solver == "arpack":