complete_model_info: Complete model diagnostics from learner predictions when the...
In VIM: Visualization and Imputation of Missing Values
View source: R/helper_vimpute.R
complete_model_info R Documentation
Complete model diagnostics from learner predictions when the raw model
does not expose them directly
Description
Complete model diagnostics from learner predictions when the raw model
does not expose them directly
Usage
complete_model_info(info, learner = NULL, task = NULL)
Arguments
info
Result from extract_model_info()
learner
A trained mlr3 learner or GraphLearner
task
A regression task used for training the learner
Value
Model info list with residuals/scale filled where possible
VIM documentation built on Sept. 2, 2026, 5:07 p.m.
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View source: R/helper_vimpute.R
| complete_model_info | R Documentation |
Complete model diagnostics from learner predictions when the raw model does not expose them directly
Description
Complete model diagnostics from learner predictions when the raw model does not expose them directly
Usage
complete_model_info(info, learner = NULL, task = NULL)
Arguments
info |
Result from extract_model_info() |
learner |
A trained mlr3 learner or GraphLearner |
task |
A regression task used for training the learner |
Value
Model info list with residuals/scale filled where possible
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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