rederive_rf: Rederive Random Forest models not kept in nested.glmnetr()...

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

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

Description

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

Usage

rederive_rf(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

rf_tune , nested.glmnetr

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