Get underlying R model of learner integrated into mlr.
getLearnerModel(model, more.unwrap = FALSE)
Arguments
| model |
(WrappedModel)
The model, returned by e.g., train. |
| more.unwrap |
(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”.
