LearnerRegrFeatureless: Featureless Regression Learner
In mllg/mlr3: Machine Learning in R - Next Generation
Description
Format
Construction
See Also
Description
A simple LearnerRegr which only analyses the response during train, ignoring all features.
If hyperparameter robust is FALSE (default), constantly predicts mean(y) as response
and sd(y) as standard error.
If robust is TRUE, median() and madn() are used instead of mean() and sd(),
respectively.
Format
R6::R6Class inheriting from LearnerRegr.
Construction
1
2
3
LearnerRegrFeatureless$new()
mlr_learners$get("regr.featureless")
lrn("regr.featureless")
See Also
Dictionary of Learners: mlr_learners
mllg/mlr3 documentation built on Sept. 27, 2019, 9:38 a.m.
R Package Documentation
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Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Description Format Construction See Also
Description
A simple LearnerRegr which only analyses the response during train, ignoring all features.
If hyperparameter robust is FALSE (default), constantly predicts mean(y) as response
and sd(y) as standard error.
If robust is TRUE, median() and madn() are used instead of mean() and sd(),
respectively.
Format
R6::R6Class inheriting from LearnerRegr.
Construction
1 2 3 | LearnerRegrFeatureless$new()
mlr_learners$get("regr.featureless")
lrn("regr.featureless")
|
See Also
Dictionary of Learners: mlr_learners
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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