Model Interpretability for Survival task in MLR3

[FerialHantash]

Hello,

I have performed previously model interpretation (pdp) on my survival models in MLR.
However, I am unable to do it in MLR3 due to the "Predictor" object that is not accept models from type survival.

I have attached below a sample code from MLR, is there anyways to do model interpretation in MLR3?

"mod = train(lrn,surv.task)
task.pred = predict(mod,newdata = traindata)
getLearnerModel(mod)
pd = generatePartialDependenceData(mod,surv.task,c("X","Y","Z"))
plotPartialDependence(pd)"

as for c("X","Y","Z")) #These are three random features (I want to be able to do it for all features and for selected ones like in MLR)