Reputation: 1219
I am trying to impute data before modeling with random forest for example.
I have categorical and continuous features. I would like to use the function kNN (VIM package) to impute my data. But I can't use this function in the preProcess function of caret and the knn imputation of this function does not handle mixed data.
How can I impute mixed data in the preProcess function ?
Upvotes: 0
Views: 1492
Reputation: 14331
As of right now, it will only impute continuous predictors (which you can get via dummy variables).
You could write your won custom method to use that function for pre-processing if you like. This example might help.
Once I get through the work for my day job, improving preProcess
is the next major task for package development.
Thanks,
Max
Upvotes: 1