A collection of implementations of semi-supervised classifiers and methods to evaluate their performance. The package includes implementations of, among others, Implicitly Constrained Learning, Moment Constrained Learning, the Transductive SVM, Manifold regularization, Maximum Contrastive Pessimistic Likelihood estimation, S4VM and WellSVM.

Documentation

Manual: RSSL.pdf
Vignette: None available.

Maintainer: Jesse Krijthe <jkrijthe at gmail.com>

Author(s): Jesse Krijthe*

Install package and any missing dependencies by running this line in your R console:

install.packages("RSSL")

Depends R(>= 2.10.0)
Imports methods, Rcpp, MASS, kernlab, quadprog, Matrix, dplyr, tidyr, ggplot2, reshape2, scales, cluster
Suggests testthat, rmarkdown, SparseM, numDeriv, LiblineaR
Enhances
Linking to Rcpp, RcppArmadillo
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Package RSSL
Materials
URL http://www.github.com/jkrijthe/RSSL
Task Views
Version 0.6.1
Published 2016-10-06
License GPL (>= 2)
BugReports http://www.github.com/jkrijthe/RSSL
SystemRequirements
NeedsCompilation yes
Citation
CRAN checks RSSL check results
Package source RSSL_0.6.1.tar.gz