rederive_orf: Rederive Oblique Random Forest models not kept in...

In glmnetr: Nested Cross Validation for the Relaxed Lasso and Other Machine Learning Models

Rederive Oblique Random Forest models not kept in nested.glmnetr() output

Description

Because the oblique random forest models sometimes take large amounts of storage one may decide to set keep=0 within the doorf list passed to nested.glmnetr(). This function allows the user to rederive the oblique random forest models without doing the search. Note, the oblique random forest fitting for survival data routine does not allow for (start,stop) times.

Usage

rederive_orf(object, xs, y_, event = NULL, type = NULL)

Arguments

object	A nested.glmnetr() output object
xs	Same xs used as input to ntested.glmnetr() for input object.
y_	Same y_ used as input to ntested.glmnetr() for input object.
event	Same event used as input to ntested.glmnetr() for input object.
type	Same type used as input to ntested.glmnetr() for input object.

Value

an output like nested.glmnetr()$rf_tuned_fitX for X in c("", "F", "O")

See Also

orf_tune , nested.glmnetr

glmnetr documentation built on April 3, 2025, 6:45 p.m.