A simple LearnerClassif which only analyses the labels during train, ignoring all features.
Hyperparameter method determines the mode of operation during prediction:
Predicts the most frequent label. If there are two or more labels tied, randomly selects one per prediction.
Randomly predict a label uniformly.
Randomly predict a label, with probability estimated from the training distribution.
LearnerClassifFeaturelessR6::R6Class inheriting from LearnerClassif.