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Since v3 of {randomForestSRC} we see non-deterministic test failures, especially for the multilabel learner. The learner has seen many changes and it would take too much time to implement these into {mlr}, especially given that it is not the most used RF learner.
Please use {mlr3} and {mlr3extralearners} if you want to use {randomForestSRC}.
makeFilterWrapper()
fromrandomForestSRC_importance
toFSelectorRcpp_information.gain
.Removed learners
classif.randomForestSRC
regr.randomForestSRC
multilabel.randomForestSRC
surv.randomForestSRC
Removed filters
randomForestSRC_importance
randomForestSRC_var.select