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.

Sign up for GitHub

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

Jump to bottom

Draft linear model residual splitting #691

Open
wants to merge 6 commits into
base: master
Choose a base branch
from
Open

Draft linear model residual splitting #691

wants to merge 6 commits into from

Conversation

mnwright
Copy link
Member

Quick and dirty implementation of splitting on residuals of linear models in the nodes. Usage examples:

ranger(Sepal.Length ~ ., iris, confounders = iris[, 5, drop = FALSE])
ranger(Sepal.Length ~ ., iris, confounders = iris[, 4:5], splitrule = "maxstat", alpha = 0.05)

@mnwright
Copy link
Member Author

Now the variable importance and prediction also uses the linear models:

rf <- ranger(Sepal.Length ~ ., iris, confounders = iris[, 5, drop = FALSE], importance = "permutation")
rf$variable.importance

To predict, also give the confounders to predict():

predict(rf, iris, confounders =  iris[, 5, drop = FALSE])

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Reviewers
No reviews
Assignees
No one assigned
Labels
not to be merged (for now)
Projects
None yet
Milestone
No milestone
Development

Successfully merging this pull request may close these issues.
1 participant
@mnwright