labelrank: Predicting Rankings of Labels

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 <aiguzhinov@gmail.com>
License
GPL-3
Version
0.1

View on CRAN

Man pages

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

Files in this package

labelrank
labelrank/inst
labelrank/inst/doc
labelrank/inst/doc/labelrank.R
labelrank/inst/doc/labelrank.html
labelrank/inst/doc/labelrank.Rmd
labelrank/NAMESPACE
labelrank/data
labelrank/data/lr.num.rda
labelrank/data/lr.nom.rda
labelrank/data/y.rda
labelrank/R
labelrank/R/data.R
labelrank/R/model_nbr.R
labelrank/R/nb_rank.R
labelrank/R/nn.R
labelrank/vignettes
labelrank/vignettes/labelrank.Rmd
labelrank/MD5
labelrank/build
labelrank/build/vignette.rds
labelrank/DESCRIPTION
labelrank/man
labelrank/man/lr.num.Rd
labelrank/man/model_nbr.Rd
labelrank/man/kNN.Rd
labelrank/man/nb_rank.Rd
labelrank/man/y.Rd
labelrank/man/time_weights.Rd
labelrank/man/nn_rank.Rd
labelrank/man/lr.nom.Rd