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Correct a typo in documentation (scikit-learn#23116)
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extend -> extent
michen00 authored and jjerphan committed Apr 29, 2022
1 parent ab51c5f commit 48bcc6f
Showing 1 changed file with 1 addition and 1 deletion.
2 changes: 1 addition & 1 deletion sklearn/decomposition/_kernel_pca.py
Original file line number Diff line number Diff line change
@@ -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]_.

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