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Update: I just saw that a major refactor in sklearn happened in 4/2020. So I think that rumor above is now moot.
Also, in our hands, the sklearn implementation is better because the matrix decomposition they use is more tolerant to collinearity in feature columns.
Just wondering if there had been any consideration of including this in Scikit-Learn.
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