A simple LearnerClassif which only analyses the labels during train, ignoring all features. Hyperparameter method determines the mode of operation during prediction:

mode:

Predicts the most frequent label. If there are two or more labels tied, randomly selects one per prediction.

sample:

Randomly predict a label uniformly.

weighed.sample:

Randomly predict a label, with probability estimated from the training distribution.

## Format

R6::R6Class inheriting from LearnerClassif.

## Construction

LearnerClassifFeatureless$new() mlr_learners$get("classif.featureless")
lrn("classif.featureless")


## See also

as.data.table(mlr_learners) for a complete table of all (also dynamically created) Learner implementations.