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.