Description Format Construction References See Also
A LearnerSurv for a survival random forest implemented in ranger::ranger()
in package ranger.
R6::R6Class()
inheriting from LearnerSurv.
1 2 3 | LearnerSurvRanger$new()
mlr_learners$get("surv.ranger")
lrn("surv.ranger")
|
Marvin N. Wright and Andreas Ziegler (2017). ranger: A Fast Implementation of Random Forests for High Dimensional Data in C++ and R. Journal of Statistical Software, 77(1), 1-17. doi: 10.18637/jss.v077.i01.
Breiman, L. (2001). Random Forests. Machine Learning 45(1). doi: 10.1023/A:1010933404324.
Dictionary of Learners: mlr3::mlr_learners
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