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Fix typo in PCA docstring
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sklearn/decomposition/pca.py

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@@ -152,7 +152,7 @@ class PCA(_BasePCA):
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the solver is selected by a default policy based on `X.shape` and
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`n_components`: if the input data is larger than 500x500 and the
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number of components to extract is lower than 80% of the smallest
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dimension of the data, then then more efficient 'randomized'
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dimension of the data, then the more efficient 'randomized'
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method is enabled. Otherwise the exact full SVD is computed and
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optionally truncated afterwards.
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full :

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