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tidymodels avatar tidymodels commented on July 24, 2024
add a sparse PCA step

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Comments (5)

juliasilge avatar juliasilge commented on July 24, 2024

I'm not sure if you have specific reasons for wanting to use VBsparsePCA (Bayesian vs. not?), but there's a different implementation of PCA for sparse data in irlba that I have used a fair amount with great results. It is what is used in widyr as well.

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topepo avatar topepo commented on July 24, 2024

I'll check it out. I saw VBsparsePCA when it was recently released and liked that it was fast and consistent with prcomp() results.

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topepo avatar topepo commented on July 24, 2024

One difference is that VBsparsePCA applies the sparsity for the all the loadings for a predictor (so it has no affect on all components). irlba doesn't use that constraint. Since I would only need to keep the rotation matrix, it might be easy to do both (step_pca_sparse() and step_pca_sparse_bayes()?).

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EmilHvitfeldt avatar EmilHvitfeldt commented on July 24, 2024

There is also a sparse pca step in the MachineShop package using the {elasticnet} package

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github-actions avatar github-actions commented on July 24, 2024

This issue has been automatically locked. If you believe you have found a related problem, please file a new issue (with a reprex: https://reprex.tidyverse.org) and link to this issue.

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