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Commit a870f43

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CeeThinwalorentzenchr
CeeThinwa
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lorentzenchr
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DOC clarify variance estimation in PCA implementation (#19378)
Co-authored-by: Christian Lorentzen <lorentzen.ch@gmail.com>
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‎sklearn/decomposition/_pca.py

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@@ -217,6 +217,7 @@ class PCA(_BasePCA):
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explained_variance_ : ndarray of shape (n_components,)
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The amount of variance explained by each of the selected components.
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The variance estimation uses `n_samples - 1` degrees of freedom.
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Equal to n_components largest eigenvalues
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of the covariance matrix of X.

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