Description Format Construction See Also
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.
R6::R6Class inheriting from LearnerClassif.
1 2 3 | LearnerClassifFeatureless$new()
mlr_learners$get("classif.featureless")
lrn("classif.featureless")
|
Dictionary of Learners: mlr_learners
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