Convert object to a PredictionSurv.
Usage
as_prediction_surv(x, ...)
# S3 method for class 'PredictionSurv'
as_prediction_surv(x, ...)
# S3 method for class 'data.frame'
as_prediction_surv(x, ...)Examples
library(mlr3)
task = tsk("rats")
learner = lrn("surv.coxph")
learner$train(task)
p = learner$predict(task)
# convert to a data.table
tab = as.data.table(p)
# convert back to a Prediction
as_prediction_surv(tab)
#> <PredictionSurv> for 300 observations:
#> row_ids time status crank lp distr
#> 1 101 FALSE 0.3862629 0.3862629 <list[1]>
#> 2 49 TRUE -0.4190332 -0.4190332 <list[1]>
#> 3 104 FALSE -0.4190332 -0.4190332 <list[1]>
#> --- --- --- --- --- ---
#> 298 92 FALSE -1.8607954 -1.8607954 <list[1]>
#> 299 104 FALSE -2.6660915 -2.6660915 <list[1]>
#> 300 102 FALSE -2.6660915 -2.6660915 <list[1]>