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feat: lightweight PCA backend (scipy/numpy SVD)#1431

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feat: lightweight PCA backend (scipy/numpy SVD)#1431
adRn-s wants to merge 1 commit into
4.0.0from
pca_back

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@adRn-s adRn-s commented Jul 8, 2026

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Replace the sklearn PCA and StandardScaler in Correlation.plot_pca with a scipy/numpy SVD implementation, reproducing sklearn's output (column standardization with population std, deterministic svd_flip sign convention, explained_variance_ from singular values). Drop the now-unused pandas and scikit-learn dependencies.

Replace the sklearn PCA and StandardScaler in Correlation.plot_pca with a
scipy/numpy SVD implementation, reproducing sklearn's output (column
standardization with population std, deterministic svd_flip sign convention,
explained_variance_ from singular values). Drop the now-unused pandas and
scikit-learn dependencies.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
@adRn-s adRn-s requested a review from WardDeb July 8, 2026 15:50
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