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labelrank (version 0.1)
Predicting Rankings of Labels
Description
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.
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Version
Version
0.1
Install
install.packages('labelrank')
Monthly Downloads
9
Version
0.1
License
GPL-3
Maintainer
Artur Aiguzhinov
Last Published
November 22nd, 2015
Functions in labelrank (0.1)
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kNN
Nearest neighbor
time_weights
Weights for timing
lr.nom
Synthetic data for label ranking experiments.
nb_rank
Predicting label rankings based on the naive Bayes ranking model
y
Permutations to be used as rankings
nn_rank
Predicting rankings using the nearest neighbor algorithm
model_nbr
A naive Bayes label ranking model
lr.num
Synthetic data for label ranking experiments.