Featureless Regression Learner

Source: R/mlr_learners_regr_featureless.R

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.

LearnerRegrFeatureless

Format

R6::R6Class inheriting from LearnerRegr.