Sparse data modeling using a Matrix #80
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simonpcouch
reviewed
Oct 7, 2024
Co-authored-by: Simon P. Couch <[email protected]>
simonpcouch
approved these changes
Oct 15, 2024
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| wf_final <- finalize_workflow( | ||
| wf_spec, | ||
| select_best(tune_res, metric = "roc_auc") | ||
| ) |
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Suggested change
| wf_final <- finalize_workflow( | |
| wf_spec, | |
| select_best(tune_res, metric = "roc_auc") | |
| ) | |
| wf_final <- finalize_workflow( | |
| wf_spec, | |
| select_best(tune_res, metric = "roc_auc") | |
| ) |
| #> date 2024-10-14 | ||
| #> pandoc 2.17.1.1 @ /opt/homebrew/bin/ (via rmarkdown) | ||
| #> | ||
| #> ─ Packages ───────────────────────────────────────────────────────── |
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Lots of dev versions and remotes here. Fine for now, but a TODO for once these are sent out to CRAN. :)
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This PR goes hand in hand with #79
it is the second article about sparse data in tidymodels.
It showcases a simple analysis where we use a sparse matrix in a modeling context by turning it into a sparse tibble.