unwrap_raw_model: Unwrap a fitted mlr3 learner to its underlying model object
In VIM: Visualization and Imputation of Missing Values
View source: R/helper_vimpute.R
unwrap_raw_model R Documentation
Unwrap a fitted mlr3 learner to its underlying model object
Description
Depending on the GraphLearner shape (bare learner vs preprocessing
pipeops) the learner state nests one level deeper, so descend through
"model" elements until a non-state object is reached (bounded; stops on
ranger / data.frame / non-list).
Usage
unwrap_raw_model(learner)
VIM documentation built on Sept. 2, 2026, 5:07 p.m.
R Package Documentation
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View source: R/helper_vimpute.R
| unwrap_raw_model | R Documentation |
Unwrap a fitted mlr3 learner to its underlying model object
Description
Depending on the GraphLearner shape (bare learner vs preprocessing pipeops) the learner state nests one level deeper, so descend through "model" elements until a non-state object is reached (bounded; stops on ranger / data.frame / non-list).
Usage
unwrap_raw_model(learner)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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