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Support `missForest()` imputation method
It would be really cool if recipes
could support missing variable imputation with the missForest
package
Good example here: https://rpubs.com/lmorgan95/MissForest#:~:text=MissForest%20is%20a%20random%20forest,then%20predicts%20the%20missing%20part.
On another note, I'm wondering if there would be value in a general step_impute()
API with user supplied "method" e.g. mean, median, mode, knn, bag_tree, mice, linear, etc. Similar to how parsnip
handles different engine arguments. Outside the scope of this issue but food for thought.
If you'd be interesting in a step_impute_missForest()
function let me know and I can try to work on a PR. Thanks!