A simple LearnerRegr which only analyses the response during train, ignoring all features.
FALSE (default), constantly predicts
mean(y) as response
sd(y) as standard error.
mad() are used instead of
Task type: “regr”
Predict Types: “response”, “se”
Feature Types: “logical”, “integer”, “numeric”, “character”, “factor”, “ordered”, “POSIXct”
Required Packages: 'stats'
|robust||logical||TRUE||\((-\infty, \infty)\)||TRUE, FALSE|
Creates a new instance of this R6 class.
All features have a score of
0 for this learner.
Selected features are always the empty set for this learner.
The objects of this class are cloneable with this method.
LearnerRegrFeatureless$clone(deep = FALSE)
Whether to make a deep clone.