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.

AuthorArtur Aiguzhinov [cre], Carlos Soares [aut]
Date of publication2015-11-22 11:48:10
MaintainerArtur Aiguzhinov <aiguzhinov@gmail.com>
LicenseGPL-3
Version0.1

View on CRAN

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

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

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