Running the code below using mlr3proba and mlr3pipelines and mlr3filters packages of R to implement rpart algorithm on a preporcessed dataset and performing "variable importance", shows a...

Using an example from the very helpful mlr3 book, I am trying to simply return the average score of the stacked model output. Can someone please explain how to do this using mlr3? I've tried using ...

I would like to repeat the hyperparameter tuning (alpha and/or lambda) of glmnet in mlr3 to avoid variability in smaller data sets In caret, I could do this with "repeatedcv" Since I real...

I have a beautiful mlr3 ensemble model (combined glmnet and glm) for binary prediction, see details here library("mlr3verse") library("dplyr") # get example data data(PimaIndia...

I try to solve a common problem in medicine: the combination of a prediction model with other sources, eg, an expert opinion [sometimes heavily emphysised in medicine], called superdoc predictor in...

MLR3 is really cool. I am trying to tune the regularisation prarameter searchspace_glmnet_trafo = ParamSet$new(list( ParamDbl$new("regr.glmnet.lambda", log(0.01), log(10)) )) searchspace...

I have a few questions regarding the use of mlr3-pipelines. Indeed, my goal is to create a pipeline that combines three 3 graphs: 1 - A graph to process categorical variables: level imputation => ...