Running examples in ‘mlr3proba-Ex.R’ failed
The error most likely occurred in:

> ### Name: distrcompositor
> ### Title: Compose a Distr Predict Type for Survival Learners
> ### Aliases: distrcompositor
> 
> ### ** Examples
> 
> library("mlr3")
> library("mlr3pipelines")
> 
> task = tgen("simsurv")$generate(20)
> cvglm.distr = distrcompositor(learner = lrn("surv.cvglmnet"),
+                             estimator = "kaplan",
+                             form = "aft")
> resample(task, cvglm.distr,
+         rsmp("cv", folds = 2))$predictions()
INFO  [23:44:44.078] Applying learner 'surv.kaplan.surv.cvglmnet.distrcompose' on task 'simsurv' (iter 1/2) 
Warning: from glmnet Fortran code (error code -30000); Numerical error at 0th lambda value; solutions for larger values of lambda returned
Warning in getcoef(fit, nvars, nx, vnames) :
  an empty model has been returned; probably a convergence issue
Warning: from glmnet Fortran code (error code -30000); Numerical error at 0th lambda value; solutions for larger values of lambda returned
Warning in getcoef(fit, nvars, nx, vnames) :
  an empty model has been returned; probably a convergence issue
Warning: from glmnet Fortran code (error code -30000); Numerical error at 0th lambda value; solutions for larger values of lambda returned
Warning in getcoef(fit, nvars, nx, vnames) :
  an empty model has been returned; probably a convergence issue
Warning: from glmnet Fortran code (error code -30000); Numerical error at 0th lambda value; solutions for larger values of lambda returned
Warning in getcoef(fit, nvars, nx, vnames) :
  an empty model has been returned; probably a convergence issue
Warning: from glmnet Fortran code (error code -30000); Numerical error at 0th lambda value; solutions for larger values of lambda returned
Warning in getcoef(fit, nvars, nx, vnames) :
  an empty model has been returned; probably a convergence issue
Warning: from glmnet Fortran code (error code -30000); Numerical error at 0th lambda value; solutions for larger values of lambda returned
Warning in getcoef(fit, nvars, nx, vnames) :
  an empty model has been returned; probably a convergence issue
Warning: from glmnet Fortran code (error code -30000); Numerical error at 0th lambda value; solutions for larger values of lambda returned
Warning in getcoef(fit, nvars, nx, vnames) :
  an empty model has been returned; probably a convergence issue
Warning: from glmnet Fortran code (error code -30000); Numerical error at 0th lambda value; solutions for larger values of lambda returned
Warning in getcoef(fit, nvars, nx, vnames) :
  an empty model has been returned; probably a convergence issue
Warning: from glmnet Fortran code (error code -30000); Numerical error at 0th lambda value; solutions for larger values of lambda returned
Warning in getcoef(fit, nvars, nx, vnames) :
  an empty model has been returned; probably a convergence issue
Warning: from glmnet Fortran code (error code -30000); Numerical error at 0th lambda value; solutions for larger values of lambda returned
Warning in getcoef(fit, nvars, nx, vnames) :
  an empty model has been returned; probably a convergence issue
Warning: from glmnet Fortran code (error code -30000); Numerical error at 0th lambda value; solutions for larger values of lambda returned
Warning in getcoef(fit, nvars, nx, vnames) :
  an empty model has been returned; probably a convergence issue
INFO  [23:44:44.798] Applying learner 'surv.kaplan.surv.cvglmnet.distrcompose' on task 'simsurv' (iter 2/2) 
Error: from glmnet Fortran code (error code 10000); All penalty factors are <= 0
Execution halted