Correct a typo in documentation (#23116)

extend -> extent
scikit-learn · Apr 12, 2022 · 0ee590d · 0ee590d
1 parent e275d9d
commit 0ee590d
Showing 1 changed file with 1 addition and 1 deletion.
diff --git a/sklearn/decomposition/_kernel_pca.py b/sklearn/decomposition/_kernel_pca.py
@@ -75,7 +75,7 @@ class KernelPCA(_ClassNamePrefixFeaturesOutMixin, TransformerMixin, BaseEstimato
             default='auto'
         Select eigensolver to use. If `n_components` is much
         less than the number of training samples, randomized (or arpack to a
-        smaller extend) may be more efficient than the dense eigensolver.
+        smaller extent) may be more efficient than the dense eigensolver.
         Randomized SVD is performed according to the method of Halko et al
         [3]_.