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1 parent da118d0 commit 8207185Copy full SHA for 8207185
sklearn/decomposition/pca.py
@@ -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'
+ 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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