getLearnerModel: Get underlying R model of learner integrated into mlr.
In shuodata/mlr-master: Machine Learning in R
Description
Usage
Arguments
Value
Description
Get underlying R model of learner integrated into mlr.
Usage
1
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 for learner “classif.rpart”.
shuodata/mlr-master documentation built on May 20, 2019, 3:33 p.m.
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Description Usage Arguments Value
Description
Get underlying R model of learner integrated into mlr.
Usage
1 | getLearnerModel(model, more.unwrap = FALSE)
|
Arguments
model |
[ |
more.unwrap |
[ |
Value
[any]. A fitted model, depending the learner / wrapped package. E.g., a
model of class rpart for learner “classif.rpart”.
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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