Calls ranger::ranger().

  • distr is predicted using ranger::predict.ranger()

  • crank is predicted as the expectation of the survival distribution, distr

Format

R6::R6Class() inheriting from LearnerSurv.

Construction

LearnerSurvRanger$new()
mlr_learners$get("surv.ranger")
lrn("surv.ranger")

Meta Information

  • Type: "surv"

  • Predict Types: distr, crank

  • Feature Types: logical, integer, numeric, character, factor, ordered

  • Packages: ranger distr6

References

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 .

See also