Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

How to save the trained Random Forest model and use it to impute new data set? #37

Closed
DrRoad opened this issue Dec 13, 2021 · 1 comment

Comments

@DrRoad
Copy link

DrRoad commented Dec 13, 2021

Hi, appreciate if you can let me know a little bit on how to use missRanger to develop a Random Forest model on a training data set and use it on test data set? Thank you very much!

@mayer79
Copy link
Owner

mayer79 commented Dec 13, 2021

It is currently not possible. The reason is simple: there is no obvious way to use random forests for imputation in test/production.

@mayer79 mayer79 closed this as completed Dec 13, 2021
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

2 participants