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Memory issue with large dataset #71

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@bblodfon

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@bblodfon

Hi Byron,

Could you please take a look at this example? I had come across similar issues 1 year ago:

library(mlr3proba)
#> Loading required package: mlr3
library(mlr3extralearners)
library(mlr3pipelines)

task = readRDS(file = gzcon(url('https://github.com/bblodfon/pdac-efs-bench2024/blob/main/data/wissel2023/gex_task.rds?raw=True')))
task$n_features
#> [1] 19870
task$nrow
#> [1] 81

learner = lrn("surv.aorsf", n_tree = 500, control_type = "fast", importance = "permute")
learner$train(task)
#> Error: protect(): protection stack overflow

Created on 2025-01-16 with reprex v2.1.1

With half features (~10K with the higher variance) it seems to work - still very high-dim settings so I could run with that, but maybe worth checking out?

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