Get underlying R model of learner integrated into mlr.

getLearnerModel(model, more.unwrap = FALSE)

## Arguments

model (WrappedModel) The model, returned by e.g., train. (logical(1)) Some learners are not basic learners from R, but implemented in mlr as meta-techniques. Examples are everything that inherits from HomogeneousEnsemble. In these cases, the learner.model is often a list of mlr WrappedModels. This option allows to strip them further to basic R models. The option is simply ignored for basic learner models. Default is FALSE.

## Value

(any). A fitted model, depending the learner / wrapped package. E.g., a model of class rpart::rpart for learner “classif.rpart”.