An implementation of distance-based ranking algorithms to predict rankings of labels. Two common algorithms are included: the naive Bayes and the nearest neighbor algorithms.
|Author||Artur Aiguzhinov [cre], Carlos Soares [aut]|
|Date of publication||2015-11-22 11:48:10|
|Maintainer||Artur Aiguzhinov <firstname.lastname@example.org>|
kNN: Nearest neighbor
lr.nom: Synthetic data for label ranking experiments.
lr.num: Synthetic data for label ranking experiments.
model_nbr: A naive Bayes label ranking model
nb_rank: Predicting label rankings based on the naive Bayes ranking...
nn_rank: Predicting rankings using the nearest neighbor algorithm
time_weights: Weights for timing
y: Permutations to be used as rankings
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