surv_net_benchmark.R

## select holdout as the resampling strategy
resampling <- rsmp("cv", folds = 3)

## add KM and CPH
learners <- c(learners, lrns(c("surv.kaplan", "surv.coxph")))
design <- benchmark_grid(tasks, learners, resampling)
bm <- benchmark(design)
               
## Aggreggate with Harrell's C and Integrated Graf Score
msrs <- msrs(c("surv.cindex", "surv.graf"))
bm$aggregate(msrs)[, c(3, 4, 7, 8)]

Thanks Raphael, I fixed this problem by upgrading the ''mlr3proba" package. However, this is another error from the "coxtime" model as follows.

Error in py_call_impl(callable, dots$args, dots$keywords) :
AttributeError: 'Series' object has no attribute 'iteritems'

This happened PipeOp surv.coxtime.tuned's $train()

When I remove the "coxtime" model from the learners list, everything is OK.

Great! Strange I've never seen that error before... Looks like it's in the underlying {pycox} implementation. Maybe try reinstalling pycox?