Marc Becker

@lenaeb I cannot reproduce the issue. Can you run the following test on your machine and confirm? ```r library(mlr3proba) library(mlr3fselect) library(tictoc) task = TaskSurv$new(survival::rats, id = "right_censored", time = "time",...

More or less the same is okay. `fs("exhaustive_search", max_features = 1)` produces only 2 combinations and therefore finishes very quickly. Parallelization introduces too much overhead in this case. It gets...

Please try to update all packages and run the script again. Post your `sessionInfo()`. One package might be old and produces large objects which are slowly serialized.

Hey, thanks for the bug report. > I guess the problem may be StatET scanning all objects after every top-level line of R is executed in order to maintain its...

@xhxlilium You are probably confused because there are approaches for using RFE with an SVM. The initial request for RFE was with SVM https://github.com/mlr-org/mlr3fselect/issues/1. Unfortunately, we cannot support this. See...

Removed post until https://github.com/mlr-org/mlr3pipelines/issues/631 is solved.

RFE works now on an SVM https://mlr-org.com/gallery/optimization/2023-02-07-recursive-feature-elimination/#support-vector-machine.

Solved by #477

Hey, sorry I can't reproduce the issue. I create a clean environment with `renv`. ```r renv::init(bare = TRUE) renv::install(c("[email protected]", "mlr-org/mlr3extralearners@*release", "randomForest")) ``` Your code runs without any problems. ```r task...

I can confirm that there is a bug on kaggle. It is not the subsetting of the task and not the task itself. The error does not occur with `regr.rpart`...