Comments (3)
topepo
commented on June 24, 2024
This was previously discussed in tidymodels/recipes#399; I wasn't sold on what the poster wanted to return and they added a step function to their own package.
You might also want to take a look at tidymodels/planning#12. For non-preprocessing needs, I think that @kbodwin's thoughts are spot-on.
It would be good as long as the output is a factor variable that denotes the cluster that the sample belongs to. For new data, we can use a nearest centroid (or mediod) approach to assign new samples (but this is dependent on the clustering method).
I'd support this but don't have the time to do it; you'd have to start a PR.
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topepo
commented on June 24, 2024
I'll close but please add a PR if this is important.
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github-actions
commented on June 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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Related Issues (20)
- Cannot `update()` a tuneable `step_umap()` HOT 2
- Create groupings in the reference of pkgdown HOT 1
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